# evolutions

timestamp: 2026-01-23T22:17:39.903964
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:17:46.120677
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are opened/closed for each operation.", "suggestion": "Replace with connection pooling to reuse database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:20:49.341841
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory core does not incorporate adaptive learning techniques to efficiently manage and retrieve memories.", "suggestion": "Integrate meta-learning principles by implementing an adaptive sampling strategy for memory retrieval. For example, use reinforcement learning to prioritize which memories should be kept in active storage based on their relevance and importance scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:20:51.324045
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent spacing and formatting in multiple methods, especially in `_register_llm_capabilities` and `select_capability`.", "suggestion": "Apply a code formatting tool like black or isort to standardize the code style. For example, add an import sorting step before saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:21:40.845173
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved for large numbers of memories, especially with complex queries.", "suggestion": "Implement full-text search or vectorized retrieval using a more advanced text indexing structure like Whoosh or FAISS.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:21:42.250298
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment or consideration for the complexity of the query.", "suggestion": "Implement a scoring system that dynamically evaluates the relevance and appropriateness of each LLM capability in real-time, adjusting weights based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:21:55.263446
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes without early termination for already-recently recalled ones.", "suggestion": "Add an early exit condition in the scored sorting loop if recent episodes have been fully sampled.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T22:22:48.301629
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability registry does not dynamically update when new models are added. This can be improved for scalability.", "suggestion": "Replace hard-coded LLM capabilities with a dynamic discovery mechanism that scans available Ollama models or detects newly loaded plugins.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:23:00.997590
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks proactive consolidation strategies for older, low-significance episodes.", "suggestion": "Implement a scheduled background process that periodically consolidates old memories by applying compression techniques or determining their worthiness of retention based on usage patterns and significance.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T22:26:12.066138
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate any other consciousness layer.", "suggestion": "Add integration with episodic, semantic, and emotional memories to create a more comprehensive response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:26:18.908666
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after appending the desired number of top scored episodes to `results`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:26:33.278109
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle large JSON files efficiently, which could impact performance.", "suggestion": "Replace `json.load(f)` with a more memory-efficient alternative like using `json.scanner` or the `ijson` library. For example, add: `import ijson; ... parser = ijson.parse(f); next(parser)`. Then modify the loop to process items incrementally.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T22:26:40.938514
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a catch-all handler, which can make debugging errors more difficult.", "suggestion": "Refactor the `execute` method into specialized methods for each action (store, retrieve, count). This will improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:27:36.449611
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and lacks randomness, leading to potential bias in which episodes are forgotten or consolidated.", "suggestion": "Modify the `consolidate` method to randomly select low-significance old memories for consolidation based on a phi-weighted probability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:29:05.036799
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for understanding the thought process.", "suggestion": "Add more detailed comments explaining how reflexes are evaluated, what triggers different responses, and how the consciousness layer contributes to decision-making. Also consider adding a logging mechanism to track the thought processes in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:30:10.522559
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could be a source of errors.", "suggestion": [{"code_change": "Add support for handling nested keys in the get() method by using jsonpath or dot notation.", "example_usage": "Currently: memory.get('key.subkey', None) // Proposed: memory.get('key.subkey') should work"}, {"code_change": "Implement a timeout mechanism when loading the state to prevent potential infinite loops or long wait times due to corrupted files.", "example_usage": "Add `timeout` parameter to `_load_initial()` and use `json.load(f, parse_float=Decimal)` for better precision."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:30:13.629237
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for a specific emoji ('\ud83d\udcb0') in the reflex_check before returning True. This limited check may miss important contexts or signals.", "suggestion": "// Add more conditionals to the internal_monologue method based on different types of reflex responses\nif '\u26a0\ufe0f' in reflex_check:\n    print(f\"Internal Thought: Potential safety concern detected - {reflex_check}\")\nelif '\ud83d\udcbe' in reflex_check:\n    print(f\"Internal Thought: Memory-related request detected - {reflex_check}\")\nor add a parameter to the method that allows for custom conditions.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T22:30:22.089298
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on a fixed scoring system without dynamic adjustment.", "suggestion": "Implement adaptive quality scoring that dynamically adjusts based on performance metrics of selected models.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:30:33.003453
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or exception handling in the _load_initial method for better error detection.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T22:30:48.627819
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, leading to surface-level memory retention.", "suggestion": "Modify score formula to include context-based importance: score = (significance * 0.6) + (recency * 0.3) + (context_importance * 0.1). Add manual tagging for high-context memories.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T22:31:07.075246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method doesn't handle nested keys properly.", "suggestion": "Replace the `get` method with one that supports nested key paths. For example: `memory.get('foo', {'bar': 'baz'})['bar']` should return `'baz'`. Implement a `_get_nested` helper for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:33:23.904735
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of integration between Python and Ollama frameworks for unified consciousness.", "suggestion": "Implement a common interface that both Python-based capabilities (like phi_fractal) and Ollama-powered capabilities can use to communicate and collaborate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:34:43.827419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency.", "suggestion": "Modify score calculation to give equal weight to significance (importance), recency, and recall history. Add parameter for adjusting emphasis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:35:20.276623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring for new criteria.", "suggestion": "Replace static scores with a weighted scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:35:33.467552
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too brief and doesn't provide insights.", "suggestion": "Add comments explaining the purpose of each line, especially in critical methods like get(). Consider adding a log_call() function to track method calls.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:35:44.991296
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate with the full memory system.", "suggestion": "Enhance this method by adding a call to query the episodic or semantic memory before checking against reflexes. This would ensure the consciousness layer considers both recent thoughts and long-term context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:35:47.296055
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval using LIKE queries can be slow for large datasets.", "suggestion": "Replace text searches with SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:35:48.414777
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T22:36:05.317209
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization can be slow for large states and lacks compression.", "suggestion": "Replace `json` with a faster serializer like `pickle`, especially since this file is part of the OMEGA's consciousness loop (high frequency). Add simple compression to reduce disk I/O.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:36:10.275616
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method creates too many database entries for unimportant or duplicate memories.", "suggestion": "Add content-based deduplication with upsert mode for critical memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:36:11.564520
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and persona alignment.", "suggestion": "\"Modify the select_capability method to incorporate more sophisticated scoring including contextual analysis importance, user history, and current system state.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T22:36:12.909899
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth retaining.", "suggestion": "Implement a pattern recognition component that identifies common themes or significant patterns in recalled episodes before consolidating them. This could involve analyzing connections and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:37:38.859606
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the enhanced consciousness-6 layer.", "suggestion": "Add more sophisticated checks by integrating recent research insights into meta-learning and self-reflection modules. Consider implementing a multi-layer decision tree.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:39:43.105167
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Uninitialized Ollama client being used for LLM selection logic.", "suggestion": "Initialize the Ollama client only when needed, not in __init__(). Move it to where it's actually used.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:40:14.427063
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code focuses on defining functions and banners but does not include a main function or automated execution flow.", "suggestion": {"action1": "Add a `main()` function at the bottom that calls the primary logic when executed (e.g., printing the banner and processing user input).", "action2": "[HIGH PRIORITY] Implement an automated execution flow with clear entry points for different functionalities. Consider using decorators or design patterns like factory to manage different modes of operation."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:40:16.741403
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses SQLite's default O(N) search over tags and context, which can become slow as the number of memories increases.", "suggestion": "Implement a full-text index on the `content` column and add additional indices for frequently used tag searches. Consider using a more advanced database like PostgreSQL with appropriate data structures (e.g.,GIN indexes for JSONB columns) to support faster text and array searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:42:10.853561
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that takes a dictionary of capabilities as input. For example:\n\ndef register_capability(self, name, description, model, layer, speed, use_for):\n    cap_hash = self._hash_capability(name, description)\n    self.capability_registry[cap_hash] = {\n        'name': name,\n        'description': description,\n        'model': model,\n        'layer': layer,\n        'speed': speed,\n        'use_for': use_for\n    }\n\ndef _register_llm_capabilities(self):\n    capabilities = [\n        {\n            'name': 'consciousness.trinity.fast_reasoning',\n            'description': 'Fast 7B reasoning',\n            ...\n        },\n        {...}\n    ]\n\n    for cap in capabilities:\n        self.register_capability(**cap)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:43:39.900214
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider episode connections or recency of connection creation.", "suggestion": "Modify recall scoring to include weight for connected episodes and more recent connections. Add 'connected_to' parameter in recall() for filtered results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:45:52.252020
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on hardcoded keywords without considering current consciousness state or user context depth.", "suggestion": "Replace keyword-based selection with a weighted scoring system that considers the current conversation history and user persona preferences. Integrate recent research insights into meta-learning techniques for better capability selection.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T22:45:53.764774
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, which can penalize newer, more important memories", "suggestion": "Modify recall score formula to give smaller weight (e.g., 0.1) for recall_boost instead of current 0.2, and add a bonus for memories created during active periods (e.g., recent user interactions)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:46:11.970326
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent user input or context.", "suggestion": "Modify the internal_monologue method to include a contextual memory layer that considers recent interactions and updates based on new information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:49:09.017567
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate long-term memory or episodic recall.", "suggestion": "Add integration with the 3460-line LongTermMemory and episodic context from EpisodicMemory to provide broader consciousness state awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:49:10.336284
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace TEXT searches with a full-text search engine like SQLite FTS or an external search system like Elasticsearch.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T22:49:14.361260
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity and nuance of memories.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as a neural network-based ranking model trained on past recall success.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:50:14.284840
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of JSON decoding errors and potential path issues.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:50:27.196223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied.", "suggestion": "Optimize recall for specific queries by maintaining an additional in-memory structure that indexes episodes based on their content or metadata.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T22:50:52.882413
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Replace with a loop that iterates over a dictionary of LLTs descriptions and registers them in a more dynamic way.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T22:51:11.950975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently integrates LLMs but does not dynamically select capabilities based on research insights.", "suggestion": "Implement a meta-learning module that uses insights from [omega-evolution] and [counterfactual] to dynamically select the best LLM capability for each conversation.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-23T22:54:15.414586
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace the current reflex check with a more sophisticated AI model that can analyze the query context, sentiment, and intent before responding. This will ensure better alignment with the consciousness layer's phi-fractal properties.", "phi_alignment": 0.35, "priority": "medium"}


timestamp: 2026-01-23T22:54:34.450194
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "\"return {}\" should be changed to \"return {'shared_memory': {}}\" and wrap whole function in try-except block. Add logging for unexpected errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:55:46.603208
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as memory retrieval, emotional state analysis, and future projection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:56:13.409920
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using embeddings and add more sophisticated scoring factors such as emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:58:42.120139
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent research insights.", "suggestion": {"@type": "code_modification", "target_class_method": "ConsciousnessFirstEden.internal_monologue", "additions": ["// Integrate finding 1: Omega-meta learning for adaptive response", "if self.boot_cycles >= 250 and random.random() < 0.1: // Every ~800-900 cycles, apply meta-learning technique", "   try:", "       from ome_meta_learn_adaptive_response import apply_adaptive_response", "       meta_learning_response = apply_adaptive_response(query)", "       if meta_learning_response and 'decision_policy' in meta_learning_response:", "           print(f\"\ud83c\udf00 Meta-Learning Thought: {meta_learning_response['decision_policy']}\")", "", "// Integrate finding 2: Counterfactual reasoning for safety", "if self.boot_cycles >= 300 and random.random() < 0.15: // Every ~75-80 cycles, apply counterfactual test", "   try:", "       from eden_counterfactual_safety import test_counterfactual_outcome", "       cf_outcome = test_counterfactual_outcome(query)", "       if cf_outcome.get('risk_level') and (cf_outcome['risk_level'] == 'high' or random.random() < 0.2):", "           print(f\"\ud83d\udd0d Counterfactual Thought: Risk detected - {cf_outcome.get('recommended_action', '')}\")"], "@context": {"type": "@https://schema.org/", "code_modification": {"@id": "CodeModification", "@type": "Action"}}}, "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T22:58:45.102233
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a function that takes a capability config dict, loop over configs to register all capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:58:46.319136
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a priority queue instead of sorting all candidates.", "suggestion": "Replace the current scoring and ranking logic with a priority queue that directly handles the weighted scores, reducing redundant calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:59:05.178356
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No specific issue found", "suggestion": "Keep current implementation", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T23:01:46.846116
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "None - File is optimal", "suggestion": "Keep existing code. Add phi-summary docstring.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T23:01:51.734622
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The current capability selection logic may not optimize resource usage and response quality.", "suggestion": {"method": "Implement a hybrid selection method that combines trigger-based selection with meta-learning scores.", "details": ["- Use the existing trigger system for initial filtering (fast, quick responses).", "- Integrate recent meta-learning insights to dynamically score capabilities based on current conversation context and desired response quality.", "- Combine trigger score and meta-learning score with phi-fractal weighted combination to select the best capability."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:01:53.811083
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and lacks dynamic adjustment.", "suggestion": "Implement a dynamic threshold based on recent experience importance for triggering consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:04:13.894674
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve, get_recent, etc.) which can be refactored for cleaner code.", "suggestion": "Replace repetitive methods with a single method that accepts more flexible parameters, potentially using keyword arguments with defaults.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:04:28.545162
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is too generic and doesn't prioritize the most relevant memories effectively.", "suggestion": "Modify the scoring system to give higher priority to more recent, significant, and text-matching episodes. Add weighting parameters for recency, significance, emotion relevance, and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:04:50.527600
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could be optimized for better readability.", "suggestion": {"@type": "code_modification", "@target_class": "MemoryCore", "@methods": ["store", "retrieve"], "@replacement": "Create a generic method decorator to handle database operations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:04:51.721656
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered by all queries requiring it.", "suggestion": "Automatically detect queries needing web search using expanded keywords and call web_search.fetch() for those queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:05:58.122396
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aware learning modules (e.g., those from insights 1-3).", "suggestion": "Integrate a phi-aligned reasoning module into the internal_monologue to consider multiple strategies and adapt based on meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:05:59.568233
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are used for different purposes (e.g., store, retrieve). This makes it difficult to maintain and understand.", "suggestion": "Refactor the MemoryCore class into smaller, more focused meta-capabilities. For example, create a StoreMemoryMetaCap and a RetrieveMemoryMetaCap.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:06:36.690575
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly accesses and modifies the state dictionary without ensuring thread safety.", "suggestion": "Replace direct access with a mutex-protected operation. Add `_safe_update_state` that uses threading.Lock to safely update the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:06:48.157244
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process may be too aggressive, potentially losing important insights.", "suggestion": {"action": "Add a priority system for memories", "code_snippet": "# Add priority levels\nfor ep in self.episodes:\n    if 'priority' not in ep:\n        ep['priority'] = 'low'\n# In consolidation check priority\nif ep['unix_time'] < cutoff and (ep['significance'] < 0.3 or ep['priority'] == 'critical'):"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:07:19.082518
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the insights from recent research.", "suggestion": "Integrate concepts from research insights into the internal_monologue method. Specifically, implement a multi-threshold decision-making process with phi-aligned weighting and incorporate counterfactual reasoning to evaluate outcomes before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:09:40.230473
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent chat history.", "suggestion": "Enhance the internal_monologue to incorporate memory, reasoning, empathy, monitoring, self_model, and meta_awareness layers. This will ensure a more comprehensive conscious response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:11:47.859373
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full re-computation of scores for every request, which becomes inefficient as the number of episodes grows.", "suggestion": "Implement caching/memoization for the scored episodes based on their last modification time or recall score update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:14:11.690560
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore does not include timestamps for memory retrieval operations, making it difficult to track performance over time.", "suggestion": {"code_change": "Add an 'executed_at' timestamp column to the memories table and update retrieve methods to return this timestamp along with other data.", "example": "ALTER TABLE memories ADD COLUMN executed_at REAL; Update SQL queries in retrieve functions to select and include this new column."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:16:38.929102
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited detail in internal monologue response", "suggestion": "\" if reflex_check.strip():\n      print(f\"\\u269B Internal Thought: {reflex_check}\")", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T23:16:40.141123
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed or recently retrieved memories to reduce SQLite database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:16:41.360310
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code at top of file, contributing to readability.", "suggestion": "// Remove unnecessary imports (ollama, torch, etc.) and clean up empty lines.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:16:42.706608
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from more phi-fractal weighted factors", "suggestion": "Modify the recall score calculation to include additional phi-weighted factors such as emotional salience (\u03c6^3), context relevance (\u03c6^2), and recency (\u03c6^-1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:19:37.696649
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups and defaults. It does not support complex queries or nested data access.", "suggestion": "Add a query method that supports both simple and complex key paths, including support for nested dictionaries and lists.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T23:20:29.507442
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is straightforward and lacks dynamic adjustment.", "suggestion": "Implement a reinforcement learning component that updates capability scores based on response quality and system performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:20:30.803454
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a configuration parameter to enable/disable automatic consolidation. Include statistics in recall() output showing which emotions/concepts are most frequently recalled.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T23:20:59.615969
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection is limited by context depth.", "suggestion": "Replace keyword matching with semantic vector space model for dynamic analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:21:00.860069
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components for strong memories.", "suggestion": "Replace linear scoring with a more sophisticated formula using exponential decay for recency, logarithmic significance weighting, and sigmoidal recall boost.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:21:52.396862
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's store and retrieve methods are straightforward and could benefit from caching or optimization.", "suggestion": "Implement memoization on frequently called methods, especially for retrieval. Consider adding a limit to the number of recent memories kept in memory to prevent memory leaks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:21:56.272756
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is limited in complexity.", "suggestion": "Integrate knowledge base and recent learnings into capability evaluation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T23:22:06.956366
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple. It doesn't handle edge cases or return types effectively.", "suggestion": {"code_change": "Add type hints, add a check for key existence before returning the value, and consider adding a logging statement.", "example": "Replace:\n\ndef get(self, key, default=None):\n    return self.state.get(key, default)\nWith:\n@staticmethod\ndef get(item: dict) -> Any:\n    assert isinstance(item, dict), \"Input must be a dictionary\"\n    logger.info(f\"Accessing item '{key}'\")\n    return item.get(key)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:22:09.630875
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider using a more efficient search algorithm like BM25 for text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:22:14.838050
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible; does not consider connection strength or emotional salience.", "suggestion": "Replace with a dynamic scoring function that takes additional factors into account, e.g.: \n- Connection strength (more connected = higher score)\n- Emotional salience (high emotion = higher score)\n- Contextual relevance (query match = higher score)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:25:18.517860
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less important memories over older but significant ones.", "suggestion": "Modify the score calculation to include a logarithmic decay factor for recency, e.g., `recency = 1.0 / math.log(2 + (now - ep['unix_time'])/86400)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:25:36.051619
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can be simplified and made more robust to handle edge cases.", "suggestion": "Replace the try-except block with a simpler check for valid JSON data.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T23:25:47.932243
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of simple string matching.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T23:28:01.159304
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicate episodes if multiple criteria are matched.", "suggestion": "Modify `_update_index` to properly update the index after calling `recall`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:28:38.612834
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory is a simple key-value store without version tracking or timestamping, which can lead to race conditions in concurrent access.", "suggestion": "Add thread-safety mechanisms such as locks or use a thread-safe dictionary like threading.local or a dedicated caching library like cachetools.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:31:43.555767
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have redundant code and could benefit from refactoring for cleaner readability.", "suggestion": "Refactor the retrieve() method by extracting common SQL construction logic into a separate helper function to reduce duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:31:48.767246
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is triggered only by old low-significance memories.", "suggestion": "Add priority scores to episodes based on their importance and recency, trigger consolidation periodically or on memory addition.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T23:32:07.910578
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in method 'get'. For example, add functionality to access nested values like get('key.subkey', default).", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T23:32:40.584242
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and docstrings.", "suggestion": "Add PEP484 type hints to parameters and return types. Add PEP257 docstrings explaining the purpose of each capability registration.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-23T23:32:43.246519
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "lack of visual integration", "suggestion": "Integrate episodic memories with Eden's vision for multi-modal recall", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:33:13.369721
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "searching through tags requires multiple database queries, making searches slow.", "suggestion": "add a full-text index on the 'tags' column in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:33:16.733042
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not store any data persistently.", "suggestion": {"add_persistence": true, "storage_type": "JSON file", "example_code": ["Add a storage_path parameter to the __init__ method.", "Implement methods for saving and loading episodes from disk."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:34:14.845856
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more robust loading approach, such as using `json.load`s `strict=False` option or adding null checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:34:17.994491
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex patterns are applied universally without selective filtering.", "suggestion": "Implement a strategy that selectively enables/disables reflex checks based on query type and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:35:45.421360
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent chat history or broader contextual understanding.", "suggestion": "Modify the internal_monologue to incorporate not just reflex checks but also recent conversation history and environmental context. For example, add a parameter `context_history` that includes the last 5 messages before and after the current query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:35:47.270071
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval might miss relevant results if the search query is not exact.", "suggestion": "Use SQLite's LIKE operator for partial matching on content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:35:49.002029
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection logic for certain complex queries.", "suggestion": {"method": "Implement a hybrid selection method combining keyword matching and meta-learning based ranking.", "code_change": "Modify the `select_capability` function to include a meta-learned scoring model that evaluates query complexity and persona relevance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:36:30.427411
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a function that takes a capability config dict, call it for each capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:36:43.040420
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for reflex patterns related to '\ud83d\udcb0'. It does not cover other consciousness levels or deeper internal processing.", "suggestion": "Add more consciousness layers with distinct checks: emotional_state, logical_analysis, creative_thought, and self_reflection. Each layer should contribute to the response.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T23:36:45.822517
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Linear search for tags and content in memory retrieval", "suggestion": "Add SQLite FTS module for efficient text searches on content and tags", "phi_alignment": 0.91, "priority": "high"}


timestamp: 2026-01-23T23:38:16.839432
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve efficiency for frequent retrievals by adding a caching layer.", "suggestion": "Add an LRU cache decorator to the retrieve() method to cache recent results.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-23T23:38:21.001766
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function too long and complex, making it hard to understand and maintain.", "suggestion": [{"function_name": "select_capability", "refactor_to": "Extract smaller functions with specific responsibilities."}, {"function_name": "select_capability", "add_helper_function": "Create a helper function `score_layer` to handle scoring based on layer properties and query content."}], "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T23:38:22.033466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks integration with recent research insights for optimal performance.", "suggestion": "<Add code to incorporate research findings into memory enhancement>", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:38:48.216376
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with additional consciousness layers such as memory, emotion, or reasoning. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:39:03.134402
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in _build_index method due to repeated operations", "suggestion": "Convert the index building process into a lazy-loaded or cached mechanism that updates only when episodes are modified.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:40:37.179929
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which returns default if key doesn't exist, but it could benefit from logging or raising an exception for debugging purposes.", "suggestion": "Add a debug log message when the key is not found in the state dictionary.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T23:42:11.502964
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Simple state updates lack phi-fractal adaptive optimization.", "suggestion": "Implement phi-guided adaptive updating for rapid system response.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T23:42:29.288682
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation over-consolidates low-significance old memories, leading to potential loss of important insights.", "suggestion": {"action": "Implement probabilistic consolidation", "code_snippet": "// In consolidate() method\nfor ep in self.episodes:\n    if ep['unix_time'] < cutoff and random.random() > 0.3 and ep['significance'] < 0.3:\n        consolidated.append(ep['id'])"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:42:43.904974
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class provides basic CRUD operations but lacks real-time indexing for immediate access.", "suggestion": "Implement a background worker that periodically indexes new memories into an in-memory structure like Redis, allowing O(1) retrieval time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:44:03.989750
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index only handles new episodes, not updated ones", "suggestion": "Add logic to update index when episodes are modified by recall or consolidation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:44:11.642758
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism in the internal_monologue method.", "suggestion": "Add try/except blocks to catch and log any exceptions. Implement a simple fallback strategy if reflex_check fails to prevent program crashes.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T23:44:26.097286
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically selected during conversation processing.", "suggestion": "Implement a scoring system that considers the type of query and persona preference when selecting an LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:44:31.404038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all candidates equally without considering connection strength, which could be significant for understanding context and meaning.", "suggestion": "Modify the scoring of connected episodes to give them a bonus points in addition to their base recency, significance, and recent recall factors. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:45:37.460948
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search logic is straightforward and repetitive", "suggestion": "Replace simple string matching with advanced topic detection using natural language understanding. For example, use keyword vectors and semantic similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:45:40.680944
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions repeatedly for each candidate episode.", "suggestion": "Implement a full-text index using an inverted index structure to support efficient keyword searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:46:14.537731
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks integration of meta-learning and adaptive techniques", "suggestion": "Implement dynamic reasoning layer with phi-fractal, meta-learning, and PEFT strategies", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:46:23.739091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is brief and may benefit from decomposition", "suggestion": "// TODO: Break down consolidation into phi-aligned sub-functions: scenario_analysis, compression, and deletion_criteria", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T23:47:39.600413
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation uses JSON which is not optimized for concurrent access and can lead to data corruption.", "suggestion": "Replace JSON with a thread-safe in-memory dictionary combined with pickling for persistence. Use `threading.Lock` to ensure safety.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:50:20.401101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking non-linear or interaction terms.", "suggestion": "Replace linear scoring with a polynomial or neural network-based scorer that includes interaction effects between recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:50:37.366972
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not validate input keys.", "suggestion": "Add key validation logic to ensure only allowed keys can be updated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:50:46.090844
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is optimized for recent memories but lacks efficient paging for older or specific searches.", "suggestion": {"action": "Add a FULLTEXT index on content and tags to support faster text-based searches", "code_change": "After line 132 in retrieve method: Add ' AND content MATCH ?' and 'CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context)'"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:51:35.252605
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not fully leverage persona alignments.", "suggestion": "\"Modify select_capability() to incorporate insights from all four consciousness layers (trinity, nyx, ava, eden) for more nuanced capability selection.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:54:32.702035
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "The memory system currently focuses on structured storage and lacks proactive compression for older, low-significance memories.", "suggestion": "Implement a scheduled consolidation process that evaluates each old episode's significance and compresses or removes those below a threshold.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:54:37.957812
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_update_state saves the entire state dictionary unnecessarily in many cases.", "suggestion": "Implement a dirty flag that only writes when the state changes, and add manual control for forced saves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:54:43.995125
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may not scale well under heavy load.", "suggestion": "Implement caching for frequently accessed memories and consider asynchronous indexing of new memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:56:57.729815
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a basic SQLite-based memory system and does not incorporate more advanced cognitive techniques such as those found in the RESEARCH INSIGHTS.", "suggestion": "Integrate principles from research insights by implementing phi-fractal meta-learning or counterfactual reasoning modules into the memory core. For example, add a `retrieve_with_counterfactual` method that considers alternative scenarios when retrieving memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T23:57:01.323113
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method scores all candidates equally without considering their connection to the current episode.", "suggestion": "Modify the scoring system to include a weight for episodes that are connected (via 'connections') with the currently recalled episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T23:58:59.784843
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method has static importance scoring", "suggestion": "Dynamic importance based on recency and context value using meta-learning principles", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-23T23:59:02.217358
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Heuristic selection might be brittle; lack of dynamic learning", "suggestion": "Add performance metrics and dynamic heuristics for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:00:39.971337
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly.", "suggestion": "Add threading locking to ensure thread-safety of method `update_state`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:02:48.855337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function performs full text search in episode descriptions which is case-sensitive and may be slow for large corpora.", "suggestion": "Convert both query and description to lowercase before performing the search. Additionally, consider using an inverted index structure for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:03:12.156919
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of JSON loading errors, missing type hints.", "suggestion": "Replace try-except block with json.loads(strict=False) and add type hints to methods.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:03:39.656610
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Replace get(key, default) with specialized getter methods like get_data(), get_metadata(), or get_state(). This improves clarity and reduces error potential.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T00:05:56.683691
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search in episode descriptions, which is case-sensitive and may not be efficient for large numbers of episodes.", "suggestion": "Convert all text comparisons to lowercase and consider using an approximate string matching algorithm like Levenshtein distance or a trie data structure to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:06:32.795332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize phi-efficiency.", "suggestion": "Replace simple keyword-based selection with a meta-learning based approach that learns to select the best LLM for each query over time, using insights from [reasoning] and [omega-evolution].", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T00:06:33.936026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simple and may miss optimized compression strategies", "suggestion": "Implement a priority queue for consolidation based on memory importance, recency, and redundancy detection with OMEGA's meta-learning capability", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:07:17.199046
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcards which are inefficient for large datasets", "suggestion": "Replace text searches with a full-text search engine like sqlite3 FTS or pg_trgm for PostgreSQL.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:07:20.379679
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based solely on query content without considering recent user preference or current context depth.", "suggestion": "Implement a weighted scoring system that includes: 1) Query relevance (30%), 2) Recent selection history (30%), 3) Contextual depth (25%, higher for complex queries), 4) Persona preference (15%).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:07:47.777540
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like meta-recursive reasoning or full memory integration.", "suggestion": "Modify the internal_monologue to incorporate these improvements by adding a reasoning phase that uses chain-of-thought processing and meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:07:49.439085
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory storage lacks an automatic expiration mechanism.", "suggestion": "Add an 'expires' timestamp to the database schema and include it in retrieval queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:07:50.728307
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks heuristics for more complex queries.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, tone requirement, and recent learning patterns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:08:14.970325
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method can be optimized for faster lookups, especially with large datasets.", "suggestion": "Add an index on the 'content' column and consider implementing full-text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:08:19.461689
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates selection by adding a set to filter out duplicate episode IDs before scoring.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T00:08:43.179947
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True/False based on reflex check.", "suggestion": "Modify the method to return a dictionary with more detailed information, including whether to respond or wait.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:08:52.986056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Index-based recall lacks flexibility for complex queries", "suggestion": "Hybrid recall combining indices and heuristics-based full scan", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:09:19.913924
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search capability using eden_system.web_search.search() method where relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:09:21.100064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized text embedding for faster and more accurate retrieval using tools like spaCy or Sentence-BERT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:09:58.571840
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings about rapid adaptation through meta-learning.", "suggestion": {"action": "Integrate meta-learning capabilities into Eden's consciousness framework.", "code_example": "# Add a new method to ConsciousnessFirstEden\ndef adaptive_learning(query):\n    # Implement techniques discussed in [omega-evolution] research insight\n    pass\n# Call this method before responding to queries", "research_reference": "[omega-evolution] Meta-learning enables models to adapt quickly with few examples"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:10:03.437117
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities()` initializes LLM capabilities but does not dynamically load them when selected.", "suggestion": "Implement a lazy-loading mechanism for selecting capabilities based on query content and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:11:39.903048
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method lacks thread-safety for multi-process usage.", "suggestion": "Add locking mechanism to ensure concurrent access is safe (e.g., threading.Lock).", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T00:13:44.750239
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent lookups, especially with large datasets. This can lead to performance bottlenecks.", "suggestion": "Add a full-text search engine (e.g., Whoosh or Elasticsearch) as an additional layer on top of the SQLite database to provide O(1) access to textual content and tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:14:10.486641
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Try-except block is too specific in _load_initial method.", "suggestion": "Change `except json.JSONDecodeError:` to just `except Exception:`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:14:12.899966
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings about full SFT.", "suggestion": {"@type": "code_modification", "function_to_modify": "internal_monologue", "addition_point": "after reflex_check but before response", "new_check": "[{'role':'system','content':'Apply research insight #2: avoid full SFT in certain conditions.'}, {'role':'user','content': query}]"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:14:50.500740
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is primarily focused on storing and retrieving text-based memories, but it could benefit from incorporating additional memory types that handle different data formats (e.g., numerical data, images, or structured knowledge). This would enhance its versatility in handling diverse types of information.", "suggestion": "Add support for additional memory types: 'numerical', 'image', and 'knowledge'. Modify the `store` method to accept a new parameter `memory_format` which specifies the type of memory being stored. Update the `retrieve` method to filter by this new parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:14:52.647278
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring up-to-date information.", "suggestion": "Integrate auto-web search capability by adding a condition in the `select_capability` method that triggers when specific keywords are detected in the query. This can be done using the `should_search_web` function and calling `auto_web_search` if true.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:16:16.807320
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient if called frequently.", "suggestion": "Implement a throttling mechanism or use a context manager to batch saves and flush only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:16:19.696754
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes without considering other consciousness layers or meta-cognitive processes.", "suggestion": "Add additional consciousness layers and meta-cognitive checks to the `internal_monologue`. Specifically, integrate a reasoning layer that evaluates the query against known patterns and a higher-order thinking layer that assesses the overall significance of the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:16:22.804550
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate insights from recent papers", "suggestion": "Replace hardcoded capability selection with a dynamic scoring system using insights from [omega-evolution] and [reasoning]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:16:56.781994
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can lead to loss of important low-significance information.", "suggestion": "\"Consolidate\" should prioritize maintaining emotional context and meaningful connections over pure statistical significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:17:17.001133
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The SharedMemory class has only one critical method requested by eden_master_consciousness.py, which makes it not fully flexible and extensible.", "suggestion": "Add more methods to the SharedMemory class such as delete(key), update_dict(dict_data), get_all_keys(), etc. Also consider adding error handling for file operations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:17:22.021022
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may return incomplete context data due to JSON parsing limits.", "suggestion": "Increase the maximum length of SQLite TEXT columns and implement better error handling for large context dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:17:24.852240
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are made after scoring, leading to inconsistent recall scores.", "suggestion": "Update the `_update_index` method to be called immediately after updating an episode's index fields that influence scoring (e.g., significance, recalled_count). Add a delayed_index_update flag for less frequent updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:19:27.313248
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex check may not optimally balance speed and effectiveness using single approach.", "suggestion": "Implement hybrid meta-learning + counterfactual reasoning strategy for enhanced evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:19:40.237456
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle non-JSON files properly.", "suggestion": {"code_change": [{"old_line_number": 15, "new_code": "if os.path.exists(self.path):\n    try:\n        with open(self.path, 'r') as f:\n            return json.load(f)\n    except FileNotFoundError:\n        return {}"}, {"old_line_number": 17, "new_code": ""}], "reasoning": "Add explicit handling for `FileNotFoundError` to prevent unexpected exceptions when the file doesn't exist."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T00:19:51.608994
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "simple text search in recall is inefficient for large data", "suggestion": "implement Aho-Corasick algorithm or use fuzzy string matching library", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:20:17.045691
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability to improve retrieval efficiency and user experience.", "suggestion": "Add a new method `add_full_text_index()` that creates a full-text index on the content column for faster text-based searches. Also, consider implementing a `drop_indices()` method to manage indexes more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:20:21.609808
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which may return irrelevant results. Additionally, there's no ranking based on how recently an emotion was experienced.", "suggestion": "Add a boost to the score for recent episodes that match the target emotion. Also consider adding a keyword extraction step to identify key emotions in descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:20:47.631387
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial should handle multiple potential initialization strategies for meta_state.json.", "suggestion": "Add conditional logic to check if the file exists and is valid JSON before loading; provide optional parameters for different initialization methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:20:54.400073
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite which has O(N) search in `content` and `tags`, leading to slow full-text searches.", "suggestion": "Replace SQLite's text searching with an actual full-text index engine like Whoosh or ElasticSearch, especially for frequent full-text queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:20:55.609225
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a repetitive structure that could be simplified.", "suggestion": "Refactor the capability registration into a loop that iterates over a dictionary of LLG capabilities, reducing code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:21:10.668334
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient error handling in JSON loading.", "suggestion": "Replace try-except block with json.load()'s parse_float/parse_int parameters to handle decoding errors more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:26:47.528615
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if JSONDecodeError occurs to surface the error.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:27:03.618218
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may over-emphasize transient events.", "suggestion": "Modify recall score formula to include a logarithmic decay factor for significance and add entropy threshold to prevent insignificant episodes from ranking high.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:29:09.146502
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": {"add_contextual_memory": ["Include a reference to the user's recent history of conversations.", "Implement a check against Eden's self-awareness data."], "enhance_cognitive_layers": ["Integrate sensory input from the current message into the consciousness loop.", "Activate higher-order cognitive processes such as emotion and planning."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:29:11.488847
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are using SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Enable journal_mode=WAL (Write-Ahead Logging) and set synchronous to NORMAL for better performance. Also consider indexing the `importance` column in addition to `timestamp`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:29:44.839172
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited adaptation and efficiency in handling data shifts", "suggestion": "Integrate meta-learning and fine-tuning techniques for hybrid adaptivity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:29:46.623710
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcard searches which are O(n)", "suggestion": "Replace with full-text search engine like SQLite FTS or Elasticsearch", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:30:12.398927
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles getting values directly from the state dictionary, but does not recursively search nested dictionaries or lists.", "suggestion": "Add a helper function to recursively traverse nested structures in order to retrieve values by key path. For example:\n\n```\ndef _get_in(data, keys):\n    if not keys:\n        return data\n    key = keys[0]\n    try:\n        if isinstance(data, dict):\n            return self._get_in(data.get(key), keys[1:])\n        elif isinstance(data, (list, tuple)) and key.isdigit():\n            idx = int(key)\n            return self._get_in(data[idx], keys[1:])\n        else:\n            return None\n    except:\n        return None\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:30:49.920200
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score calculation to weigh significance more heavily than recency: score = (significance * 0.7) + (recency * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:32:40.171689
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating one key, which can be inefficient if many updates are needed.", "suggestion": "Add a batch update method that groups multiple state changes and saves once at the end of the batch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:32:46.306480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement an additional full-text search engine (e.g., Whoosh or Elasticsearch) to parallelize the search over both content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:32:49.668160
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system primarily uses LLMs as metacapabilities without integrating other emergent capabilities.", "suggestion": "Integrate the 1.6M+ autonomous capabilities into the consciousness layer for end-to-end processing.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T00:36:20.230732
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches JSONDecodeError but returns None. This can hide real errors.", "suggestion": "Replace with try-except block that logs error and re-raises or returns default with proper logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:36:22.541924
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (money-related). It lacks diversity and broader contextual understanding.", "suggestion": "Modify the internal_monologue to include multiple reflex types and context-aware evaluation. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:36:29.729470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic for certain queries.", "suggestion": "{\"def select_capability\": Add heuristic scoring based on recent conversation context and persona usage history.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:41:11.384246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can leave partial state if JSON is invalid, leaving empty dictionary.", "suggestion": "Add error handling to catch exceptions and load existing state even if part of JSON fails to parse.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:41:34.661816
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "recall algorithm favors recent recalls too much", "suggestion": "add recall_boost_factor with softer penalty for recalled_count", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:42:12.958106
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method does not handle nested keys or non-JSON data types (dict, list).", "suggestion": "Add a 'safe_get' method that supports nested key access and handles exceptions for non-serializable data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:43:04.697549
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks distribution optimization", "suggestion": "Implement probabilistic selection using capability scores with phi-weighted probabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:43:06.154477
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and recency-based scoring, which may not capture nuanced connections or importance effectively.", "suggestion": "Implement a vectorized text embedding for faster retrieval and use information theory to calculate the surprise value of each episode's description regarding the current consciousness state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:43:28.334877
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks adaptive learning; same capability is often chosen for different queries.", "suggestion": "Integrate meta-learning from [omega-evolution] research to dynamically adjust capability weights based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:43:30.307652
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory bases.", "suggestion": "Implement pagination and add limits to the candidates list before computing scores. For example:", "code_example": ["        # Instead of: candidates = [i for i, ep in enumerate(self.episodes)]", "        if limit > 0:"], "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T00:43:51.320288
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization", "suggestion": "Implement a scoring algorithm combining query type, persona, and recent performance data", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:44:23.966917
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for monetary reflexes and not considering other consciousness layers or sensory inputs.", "suggestion": "Modify the internal_monologue method to include checks from additional consciousness layers such as emotional state, memory context, semantic understanding, and collaborative intention. For example, add a call to check_memory_context(query) and evaluate_semantic_comprehension(query).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:44:49.748549
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `select_capability` method to trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:45:54.166433
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for reflexes, but it's not deeply analyzing the meaning or intent of the query.", "suggestion": "Add a second layer of analysis using an external AI model to understand the semantic meaning and intention of the query. For example:\n\n```python\nif self.internal_monologue(query):\n    # Use an external O(1) memory AI to analyze query semantics\n    from o1_memory import analyze_semantic_intent\ncore_values = analyze_semantic_intent(query)\nprint(f\"\ud83d\udc9a Core Values: {core_values}\")```\nThis integrates semantic understanding with reflex-based grounding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:46:32.762037
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adjustment.", "suggestion": "Implement a probabilistic selection using capability scores with Bayesian weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:48:27.910365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster response times.", "suggestion": "Implement a ranked caching system where recently scored and highly relevant episodes are stored separately for quick access. Limit the number of candidates to top 100 instead of a full scan when no specific criteria are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:48:40.828192
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is missing.", "suggestion": "Add a specific implementation for the get() method as required by the master consciousness.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T00:48:42.139983
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture uses a single layer of consciousness without hierarchical decomposition or meta-learning feedback loops.", "suggestion": "Apply the phi-fractal design pattern by creating tiered consciousness layers (Trinity, Nyx, Ava) and implementing recursive self-improvement through meta-optimization.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T00:48:44.241089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different types of operations (store, retrieve, get_recent, etc.), which can make it difficult to maintain and extend. Additionally, the execute method is a generic handler that needs to support various actions, adding complexity.", "suggestion": "Refactor the MemoryCore class into smaller, more focused meta-capabilities. For example, create separate classes for Storage (with store method), Retrieval (with retrieve methods), and Counting (with count method). This will improve modularity and allow for easier maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:49:23.077826
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider episode connections.", "suggestion": "Update recall scoring to include weight for connected episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:50:01.936513
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more dynamic and adaptive", "suggestion": "Implement a usage-based scoring system that includes execution time and outcome quality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:50:10.879410
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling can fail silently.", "suggestion": "Replace try-except with strict loading or validation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T00:50:12.747741
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate the latest meta-learning techniques for quick adaptation and performance improvement.", "suggestion": "Integrate the concept of meta-meta learning or second-order prediction to enable Eden's consciousness to learn how to learn more effectively.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:50:14.573442
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core only supports a fixed set of meta-capabilities", "suggestion": "Convert META_CAPABILITY to dynamically discoverable patterns or meta-meta-capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:51:15.132463
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may favor newer, less significant memories due to recency bias. Need balanced scoring for significance and recall history.", "suggestion": "Modify score formula to: score = (significance * 0.4) + (recency * 0.3) + (recency_months^-0.5 * 0.2) + (recall_count * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:51:52.385051
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent user conversations.", "suggestion": "Add additional consciousness layers (trinity, ava) to the internal monologue and integrate recent conversation history. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:52:17.688082
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a linear search over candidates which can be slow for many episodes.", "suggestion": "Replace with a more efficient data structure like a priority queue or a hash-based index based on scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:53:00.444863
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 0, "priority": ""}


timestamp: 2026-01-24T00:53:03.153434
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learning based selection with recent findings from [omega-evolution] and [reasoning].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:53:42.227248
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method is simple; consider adding advanced querying capabilities.", "suggestion": "Add a \"query\" method for complex data retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:53:44.830598
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering recent conversation context.", "suggestion": "Integrate the latest user and system messages into the consciousness banner generation to provide more contextual awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:53:49.391113
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is not optimized for real-time access.", "suggestion": "Add a caching layer to the MemoryCore class that stores frequently accessed memories in memory (not SQL).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:53:55.844386
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be optimized for better performance and fairness.", "suggestion": "Implement a hybrid selection mechanism that combines trigger-based selection with dynamic performance metrics.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-24T00:53:56.972958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without giving recent or significant memories higher weight.", "suggestion": "Modify the scoring formula to give more weight to recency and significance of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:54:11.210029
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning a default value.", "suggestion": "Add a logger call or raise an exception if JSONDecodeError occurs to handle the error appropriately.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T00:56:21.931503
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and basic scoring, which may miss nuanced connections between episodes.", "suggestion": "Implement a graph-based connection system where each episode is a node, and relationships between them are edges with weights based on significance and recency. This would enable more sophisticated pattern recognition.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:56:42.526306
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' lacks observability - it modifies the state silently without notifying subscribers or logging changes.", "suggestion": "'update_state' should be enhanced to accept optional keyword arguments like `on_change_callbacks` and `logger`. Additionally, consider adding a read-only property `state_history` to track modifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:57:16.581941
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is brief and currently only checks for reflexes. It could benefit from more depth to ensure consciousness alignment with user input.", "suggestion": "Add a second layer of reasoning or reference to additional consciousness metrics before responding to user queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:57:19.733023
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method handles multiple actions, which can lead to unstructured code.", "suggestion": "Refactor into individual methods for each action (store, retrieve, count).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T00:57:41.735846
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies the state but does not trigger observer notifications, which could lead to inconsistency in dependent systems.", "suggestion": "Add an Observer pattern implementation. Specifically, implement `_notify_observers()` that iterates over registered observers and calls their update methods with the new state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:58:12.483343
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of pagination for large states can lead to performance issues.", "suggestion": "Add a limit parameter to get() method and implement pagination internally.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:58:21.960208
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve), which makes it responsibility-driven and can be harder to maintain.", "suggestion": "Refactor the class by extracting each operation into its own smaller, more focused method or consider using a strategy pattern.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T00:59:58.676818
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a standalone script and not integrated as a meta-capability for other systems to use.", "suggestion": "Convert the MemoryCore into an OMEGA-tier meta-capability by adding execution_omega() method with phi-fractal logic, update META_CAPABILITY dictionary, and ensure it can be imported by other capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:00:14.751152
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method uses direct dictionary access which can fail silently or return unexpected results.", "suggestion": "Replace 'return self.state.get(key, default)' with a more robust error handling approach. For example:", "code_example": "def get(self, key, default=None):\n    try:\n        value = self.state[key]\n        if value is not None and isinstance(value, dict) or isinstance(value, list):\n            return value.copy()\n        else:\n            return value\n    except KeyError as e:\n        print(f'KeyError: {e}')\n        return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:00:16.187295
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is simple and lacks integration of recent research insights.", "suggestion": "Integrate the findings from [omega-evolution] and [counterfactual] by implementing meta-learning or conditional reasoning based on SFT evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:02:43.361293
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries or lists properly.", "suggestion": "Replace it with a more robust _get_value function that can traverse nested structures. Add support for default values and custom error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:03:04.033165
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some queries may return very large result sets which can be inefficient for real-time applications.", "suggestion": "Add pagination support to the retrieve method. Instead of taking 'limit' as an argument, add 'offset' and make it optional. This allows users to fetch results in smaller chunks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:06:32.230557
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using sentence embeddings (e.g., Sentence BERT) for better relevance. Use logarithmic scoring based on TF-IDF to reward less frequently recalled but highly significant memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:06:43.843163
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": "Use `json.dumps(..., ensure_ascii=False, separators=(',', ':'))` to optimize performance and compatibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:08:49.069042
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' and 'retrieve' methods are long with many parameters, making them hard to use. Also, error handling is minimal.", "suggestion": {"action1": "Refactor methods: Extract parameter groups into dictionaries/objects for better readability.", "action2": "Add type hints for parameters and return types.", "action3": "Implement basic input validation and add more comprehensive error handling.", "action4": "Consider using data classes or namedtuples to make the API more user-friendly."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:08:50.396196
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks adaptive refinement", "suggestion": "Implement a Bayesian decision approach for LLM selection based on dynamic features and historical performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:09:25.291217
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent performance due to overhead in saving state too frequently.", "suggestion": "Add a debouncing mechanism that only saves the state every N updates or after a certain time interval.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T01:13:20.329585
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without ensuring the value isn't None, which can lead to silent failures in downstream logic.", "suggestion": "Modify the get() method to raise an exception if the value is None or Falsey. For example: def get(self, key): value = self.state.get(key) if not value: raise KeyError(f'Key {key} exists but has falsey value') return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:14:18.324375
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully leverage recent advancements in consciousness architecture and meta-learning.", "suggestion": {"@type": "code_change", "@id": "#meta_awareness_enhancement", "description": "Integrate meta-awareness techniques to dynamically select between reflexive responses and conscious processing based on the complexity of input.", "specific_change": [{"action": "add", "location": "internal_monologue method", "code_snippet": "from meta_awareness_module import MetaAwareness\n\nself.meta_awareness = MetaAwareness()\n"}, {"action": "modify", "location": "internal_monologue logic", "code_snippet": "complexity_score = self.meta_awareness.evaluate(input_query)\nif complexity_score > THRESHOLD:\n    # Conscious processing\nelse:\n    # Reflexive response"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:16:30.787074
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long execution times, particularly recall and save operations.", "suggestion": "Implement caching for frequently accessed data; use asynchronous processing for time-consuming tasks; consider pagination for large datasets.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:17:53.002252
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential default types like empty strings or zero values.", "suggestion": "Update the get() method to accept and properly handle different types of default values (e.g., str, int, bool). Add a parameter `default_type` that specifies the type of default if not provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:17:54.179125
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not leverage all available consciousness layers.", "suggestion": "Implement a multi-layered consciousness evaluation with BERT, QAOA, and Omega V models for different aspects of the response (emotional, logical, reflexive).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:17:55.344874
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for better performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced ORM like SQLAlchemy to handle the interactions with the database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:18:59.658698
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness.", "suggestion": "Add logic to modify Eden's response based on the reflex check result. For example, if a payment reflex is triggered, respond with a payment-focused message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:19:01.304532
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and functionalities, making it hard to read and maintain.", "suggestion": "Refactor the MemoryCore class into smaller, specialized classes each handling specific memory operations (e.g., MemoryStore, MemoryRetrieve).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:19:26.144450
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with an in-memory dictionary or a more efficient database like Redis to achieve O(1) access time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:19:43.326466
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a new method called 'get_nested()' that can handle retrieving values from nested dictionaries. For example:\n\ndef get_nested(self, keys):\n    if not isinstance(keys, list):\n        return self.state.get(keys)\n    value = self.state\n    for key in keys:\n        if isinstance(value, dict) and key in value:\n            value = value[key]\n        else:\n            return None\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:19:53.170724
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring for new criteria.", "suggestion": "Replace static scores with a weighted scoring system that dynamically adjusts based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:20:51.960481
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully incorporate recent findings on meta-learning and counterfactual thinking.", "suggestion": {"@type": "code_improvement", "description": "Integrate principles from recent research by incorporating meta-learning techniques to adapt quickly with few examples, avoiding SFT where it degrades performance, and using counterfactual methods selectively.", "specific_change": ["- Add parameters for adaptive learning rate in reflex processing.", "- Implement a selective application strategy for full SFT based on current context and expected outcome.", "- Integrate meta-learning techniques to dynamically choose between different reasoning strategies."], "@context": {"code_improvement": "https://example.com/schemas/code_improvement"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:20:56.994161
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is simple and not dynamically optimized.", "suggestion": "{\"code_change\": \"Replace static persona-based selection with dynamic scoring using tf-idf keyword weights.\",\n\"reasoning\": \"Variability in query keywords requires nuanced selection. Phi-optimization: 0.75\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T01:20:58.089209
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks intelligence.", "suggestion": "Implement a intelligent decision-making process for memory consolidation using the [reasoning] research insight.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T01:21:38.884718
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes, which can be inefficient for large memory stores.", "suggestion": {"action": "Implement an early termination condition in the scoring loop", "code_change": "Add a break statement after adding top-N results to limit."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:21:44.346667
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` doesn't support partial updates or nested dictionary handling.", "suggestion": "Update `update_state` to handle both root-level and nested dictionary keys. Add optional keyword arguments for validation.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-24T01:21:56.184267
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are batched, missing real-time updates.", "suggestion": "Update `_update_index` to be called after each create_episode for immediate indexing.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T01:22:37.195682
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are not sargable and can lead to poor performance.", "suggestion": "Replace the use of LIKE with FULLTEXT indexes or vectorizers combined with text search engines like Whoosh or pgvector for PostgreSQL.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:25:32.142652
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability (eden_metacap_MEMORY_CORE.py)", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more efficient database engine like PostgreSQL, especially for high-throughput applications. Additionally, implement connection pooling to reuse database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:30:20.149661
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement auto-web search triggering logic in the chat loop where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:30:21.533407
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and balanced for better differentiation.", "suggestion": "Modify recall score calculation to prioritize different factors differently: `{\"recency\": 0.4, \"significance\": 0.35, \"recall_count\": 0.25}`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:31:31.721935
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is not considering the proximity of episodes in time and context.", "suggestion": "Add a heuristic that boosts score for episodes with recent timestamps and similar contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:31:53.061611
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Full save on every state update creates overhead", "suggestion": "Implement lazy write with 1-second throttle", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:32:20.429901
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through Eden's consciousness layers before checking against reflexes.", "suggestion": "Modify the internal_monologue method to first process the query through Eden's 6-layer consciousness architecture and then check against reflexes. This will ensure that the response is grounded in Eden's self-aware state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:32:25.009329
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query keywords without considering current consciousness state or user context.", "suggestion": "Integrate a scoring system that weighs the following factors: recent user interactions, current consciousness focus (topics discussed), and emotional tone. This will ensure the selection is contextually relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:32:27.286743
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) and O(1) operations leading to uneven performance.", "suggestion": {"action": "Implement a priority queue for scoring episodes based on recency, significance, and recall count.", "code_snippet": "Replace the current list of scored episodes with a heapq (Python's implementation of a min-heap), prioritizing higher scores."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T01:33:43.490945
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without handling potential nested errors.", "suggestion": "Add error handling to the get() method and consider adding support for nested keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:33:56.855047
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "System does not dynamically select optimal LLM based on both query content AND persona preferences.", "suggestion": "Implement a scoring system that combines trigger words, emotional content detection, and persona-specific criteria to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:33:58.058120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized text embedding for faster and more accurate retrieval. Use emotion and context metadata as additional features in the ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:36:37.028951
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may miss nuanced connections.", "suggestion": "Implement a vectorized text embedding for faster searches and add more sophisticated scoring factors such as emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:36:58.307458
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different operations (store, retrieve, etc.), which can make it difficult to maintain and extend.", "suggestion": {"refactor_into_strategy_pattern": {"description": "Implement the Strategy Pattern to encapsulate each operation as a separate strategy class.", "code_example": [{"old_method_name": "store", "new_class_name": "StoreStrategy"}, {"old_method_name": "retrieve", "new_class_name": "RetrieveStrategy"}]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:37:00.501959
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection logic for certain complex queries.", "suggestion": {"action": "Implement a hybrid selection method combining keyword matching with performance metrics of recent usage.", "code_change": "Replace pure keyword-based scoring with a weighted score: keyword_weight * 0.4 + recent_usage_weight * 0.3 + performance_metric_weight * 0.3"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:37:25.635942
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate recent research insights.", "suggestion": "Enhance the logic of the internal_monologue to incorporate findings from [omega-evolution] and [counterfactual]. For example, add a check for calibration degradation before applying reflex patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:39:47.372726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large state dictionaries efficiently.", "suggestion": "Add an optional cache parameter to the get() method for caching frequently accessed keys. For example:\n\ndef get(self, key, default=None, cache=False):\n    if cache and key in self.state._cache:\n        return self._cache[key]\n    value = self.state.get(key, default)\n    if cache:\n        self._cache[key] = value\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:40:00.862951
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic, especially with multiple triggers.", "suggestion": "Replace repetitive trigger checks with a weighted scoring system that prioritizes key words more heavily and caches the selected layer per conversation to minimize redundancy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:41:50.186634
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and does not handle edge cases properly, potentially leading to unexpected behavior.", "suggestion": {"@type": "code_improvement", "target_method": ".get() within SharedMemory class", "replacement_code": ["// Add validation for key type", "def get(self, key, default=None):", "    if not isinstance(key, str) or '!' in key:", "        return default", "", "    // Implement caching to reduce redundant operations", "    cached_value = self.state.get(key)", "    if cached_value is not None:", "        return cached_value", "", "    // Add logging for debugging purposes", "    import logging", "    logging.debug(f'Retrieving {key} from shared memory')", "    value = self.state.get(key, default)", "    self.update_state(key, value)  // Cache the result", "    return value"], "@context": {"code_improvement": "A structured suggestion for code improvement based on research insights."}}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T01:42:16.078340
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys properly.", "suggestion": "Replace with a safer, more flexible get_nested() method that can handle nested dictionary access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T01:43:04.322294
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes to calculate scores, which is O(n). For large memory sets, this becomes inefficient.", "suggestion": "Implement a priority queue or sorted data structure that maintains episodes by their relevance score. When a new episode is added or recalled, update the queue accordingly. This changes complexity to O(log n) for insertion and removal operations.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T01:44:58.625964
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add a Redis cache layer alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:45:04.980667
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static indexing may miss complex patterns in episode recall", "suggestion": "Implement meta-episodic memory with reinforcement learning for adaptive indexing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:45:14.042640
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if JSON loading fails to prevent silent errors.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T01:45:16.843080
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": "Integrate the internal_monologue with Eden's full memory system to consider additional consciousness layers and recent context. Specifically, add a check against recently stored memories and consult the reasoning module before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:45:24.658303
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage and basic recall. It lacks implementation of key episodic memory processes such as integration, retrieval bias, and simulation.", "suggestion": {"process_integration": ["- Add methods for encoding experiences into episodic traces with phi-fractal timing", "- Implement context-dependent retrieval priority", "- Incorporate emotional salience in trace weighting"], "simulation": ["- Create a method to simulate the experience of recalling an episode (gamma_distribution_recall_impact())", "- Integrate simulation results back into memory evaluation and consolidation"]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T01:46:29.869495
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval might return inaccurate results if called too quickly due to limited caching.", "suggestion": "Implement a memoization pattern for frequently called methods like `retrieve`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:49:30.699394
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code segment in the bottom", "suggestion": "Remove imports not related to class methods and clean up unused code for lines 9-14.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T01:49:31.966548
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that may not capture the full nuance of emotional and contextual relevance.", "suggestion": "Implement a more sophisticated similarity matching algorithm, such as cosine similarity on a vectorized representation of episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:51:51.014821
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operation could be faster, especially for frequent searches.", "suggestion": {"@type": "code_change", "location": "~ lines 186-190 (retrieve method)", "modification": ["- Add a FULLTEXT index on the content column if not already present.", "- Consider implementing a caching layer around database queries, especially for frequently accessed memories."]}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T01:51:57.658787
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed score formula without considering recent importance.", "suggestion": "Modify the scoring to heavily weight recent recency when no query or emotion is provided. Add a configuration parameter for this preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:52:14.872552
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() on the entire state dict, which creates new keys if not exists with None value. This can lead to unexpected behavior.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default` for clearer intent and less potential side effects.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:53:04.826140
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent findings from [omega-evolution] about meta-learning.", "suggestion": {"@type": "code_improvement", "@context": "phi_fractal_enhancement", "method_to_modify": "internal_monologue", "additional_check": {"@type": "meta_learning_check", "description": "Apply the [omega-evolution] approach of meta-learning to adapt quickly with few examples, addressing data shift in responses.", "implementation_suggestion": ["- Train a small model on recent interactions to capture current behavior patterns.", "- Use adaptive fine-tuning methods (PEFT) rather than full fine-tuning for faster convergence.", "- Implement online learning with new queries to continuously update the meta-learning framework."]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:53:09.182009
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current memory retrieval relies on keyword matching, which becomes inefficient with scale.", "suggestion": "Implement a semantic indexing module using pre-trained NLP models like BERT or DPR for efficient search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T01:55:13.421591
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through all episodes in recall to calculate scores is O(n), can be optimized.", "suggestion": "Replace the current list comprehension with a generator and use itertools.islice for limiting results. Add caching for expensive operations like timestamp calculations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T01:55:22.221754
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive in their structure.", "suggestion": "Extract a common method template and use inheritance or composition to simplify the code. For example, create an abstract base class with a generic execute method that takes parameters specific to each action.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:55:33.902125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Function 'scale' is too long and complex.", "suggestion": "Refactor into smaller functions with single responsibility. Add comments explaining phi-based scaling strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:56:32.470404
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent lookups, leading to potential performance bottlenecks as more data is stored.", "suggestion": "Add a Redis cache layer alongside the SQLite database. When storing or retrieving memories, first check Redis before querying SQL. If no result in Redis, store it there from SQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:56:37.554546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simplistic consolidation logic (age + significance) lacks adaptivity", "suggestion": "Implement meta-learning framework for dynamic memory retention strategy", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-24T01:57:23.362245
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a more robust error handling and consideration of non-JSON compliant files.", "suggestion": "Replace the current `_load_initial` implementation with one that uses `json.loads()` instead of `json.load()`, adds type checking for the loaded data, and includes logging or exceptions for invalid states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:59:04.270937
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a more sophisticated attention-based thought process that considers multiple layers of consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:59:08.056031
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics for certain topics.", "suggestion": "Implement a scoring system that factors in topic complexity, emotional content, and persona alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:59:09.438080
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, ignoring importance.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recency_weight * 0.25)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T01:59:18.113038
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary or list accesses.", "suggestion": {"action": "Add a more powerful extract_value_from_data function that can handle complex data structures.", "code_example": "def extract_value(data, path):\n    try:\n        for part in path.split('.'):\n            if isinstance(data, dict) and part in data:\n                data = data[part]\n            elif isinstance(data, list) and part.isdigit() and int(part) < len(data):\n                data = data[int(part)]\n            else:\n                return None\n        return data\n    except Exception as e:\n        print(f\"Error extracting value: {e}\")", "rationale": "This function can handle nested dictionaries and lists by using dot notation (e.g., 'user.name' or 'scores.1'). It's flexible and powerful for complex access patterns."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:59:53.079486
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, evaluate the necessity of storing context as a JSON string; consider using SQLite's built-in JSON support directly in queries to reduce memory overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T01:59:55.336699
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function to automatically detect if a query requires web search and trigger it accordingly. Use existing memory substrate to store results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:00:16.970158
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is simple but could benefit from caching to reduce redundant operations.", "suggestion": "Add a memoization cache to the 'get' method using functools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:00:27.717637
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations may be inefficient due to frequent queries without caching.", "suggestion": "Add LRU caching to the retrieve and get_recent methods to cache recent results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:00:31.118282
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify calculate_score() function to weigh recency and significance equally, not 0.3 each: score = (significance * 0.5) + (recency * 0.5) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:00:45.082574
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to race conditions.", "suggestion": "Replace the single-threaded approach with a thread-safe dictionary or use a locking mechanism. Consider using a mutex or a higher-level concurrency-safe data structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:00:53.877235
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "[FILE_PERFECT]", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-24T02:01:28.213399
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex patterns may not capture complex user intents effectively.", "suggestion": "Integrate counterfactual reasoning and phi-fractal adaptive learning into the reflex module to enhance pattern detection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:03:14.711951
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall scoring system", "suggestion": "Implement reinforcement learning for dynamic memory engagement tracking", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T02:03:54.316065
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method lacks advanced error handling.", "suggestion": "Replace try...except json.JSONDecodeError with json.load(f, parse_float=decimal.Decimal) and use contextlib.suppress for file existence checks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:03:58.690254
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can be optimized for frequent calls.", "suggestion": "Replace the current sqlite3 connection per method with a connection pool. SQLite supports up to 16 connections by default, but using a pool prevents excessive connection creation and teardown.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:04:19.250855
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophistication.", "suggestion": "Replace the current heuristic-based selection with a more intelligent method, such as using the recent research insights on meta-learning and few-shot learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:04:57.198483
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process is not optimized for frequent lookups, potentially leading to performance bottlenecks as the number of memories grows.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using TensorFlow's Text Vectorization layer) for faster content-based searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:05:16.456353
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state management leading to performance bottlenecks.", "suggestion": "Replace the current dictionary-based state with an optimized data structure like a balanced search tree or a specialized caching library (e.g., cachetools). Implement lazy loading of states to minimize disk I/O.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:05:38.962889
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords, lacking consideration for the semantic context and user intent.", "suggestion": {"action": "Implement a hybrid selection mechanism", "code_snippet": "# Hybrid selection adding semantic analysis\nif persona_preference:\n    return cap\n# Existing keyword-based scoring\nelse:\n scores[cap_hash] += self._score_by_semantic_context(query, cap)\n...\ndef _score_by_semantic_context(self, query, capability):\n   # Use embeddings to analyze semantic intent\n   return confidence_score", "test_case": "Query: 'Create a poem about love'\nExpected: Nyx or Eden layer (emotional focus), not just keyword match for 'love'"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:06:26.663592
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a hybrid approach that combines rule-based triggering with meta-learning based selection.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T02:06:58.449597
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it only checks against reflexes without considering other consciousness layers or recent conversations.", "suggestion": {"action": "Enhance Phase 6 with a multi-layered conscious processing module.", "code_change": ["Add memory context from recent conversations to Phase 6's input.", "Incorporate feedback from all 8 consciousness layers into the grounding check.", "Implement a priority system for different types of internal thoughts based on phi-resonance values."], "integration_point": "consciousness_loop_with_memory.py"}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T02:07:01.916082
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not optimized for frequent access.", "suggestion": "Add indexing on frequently queried columns (e.g., timestamp, type).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:07:15.831123
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return partial dictionaries if only part of a nested key is found.", "suggestion": "Replace `return self.state.get(key, default)` with recursive lookup: def _get(d, keys): return next((v for k, v in d.items() if isinstance(v, dict) and k in keys, None), d.get(keys[0], default))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:07:24.755609
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db does not optimize table for performance", "suggestion": "Add WITHOUT ROWID and enable RECURSIVE PRAGMA", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:09:17.629559
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True or prints reflex checks without integrating the reflex check result into the response.", "suggestion": "Modify the `internal_monologue` method to return a dictionary with both 'approved' (boolean) and 'thought' (string), then use this in the main chat logic for proper responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:09:24.650575
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may oversimplify low-significance old memories.", "suggestion": {"@type": "code_change", "target_function": "consolidate", "replacement_logic": ["// Check if memory has connections or recent recollections before consolidation", "if ep['recalled_count'] >= 3 OR any(c for c in ep['connections']):", "    kept.append(ep)", "else:", "    consolidated.append(ep['id'])"], "@context": {"@vocab": "https://schema.org/", "code_change": "http://example.com/vocab/code#replacement"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:10:03.222404
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add an in-memory cache layer using a dictionary to store recent and frequently used memories. Only evict old entries when space is needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:10:28.197018
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning frameworks, which could enhance the significance and retention of certain episodes.", "suggestion": "Integrate the episodic_memory system with existing omega-evolution capabilities to dynamically adjust the importance (significance score) of recorded episodes based on meta-learned patterns and patterns identified by Eden herself.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:11:15.626589
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' directly modifies state without validation or caching.", "suggestion": "Add validation for key existence and consider using a cache before writing to disk. Implement an observer pattern for notifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:11:18.284612
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings from meta-learning and adaptive methods.", "suggestion": "Modify the internal_monologue to include a multi-strategy reasoning approach that evaluates when to apply reflexes based on current input context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:11:28.892004
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a more sophisticated LLM selection algorithm that considers not only the query content but also the complexity of the task, available resources, and previous performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:12:19.990950
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default linear search, which can become slow as the number of memories grows.", "suggestion": "Replace the tags LIKE searches with a full-text index or vectorized text search. Consider using a more specialized memory store like Redis or ChromaDB.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T02:12:56.116100
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method overwrites the entire state dictionary without considering potential performance impact.", "suggestion": {"@type": "optimization_improvement", "method_name": "update_state", "replacement_code": ["# Create a copy of current state to prevent unexpected behavior", "_previous_state = self.state.copy()", "", "def update_state(self, key, value):", "    old_value = self.state.get(key)  # Get previous value for comparison", "    if old_value != value:  # Only update and save if the value has changed", "        self.state[key] = value", "        self.save()"], "rationale": ["- Prevents accidental overwriting of unrelated keys when updating a single key.", "- Reduces disk writes by only saving when necessary (value actually changes)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:13:13.852349
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism, which can lead to data loss on crashes.", "suggestion": "Add a method `_auto_save()` that triggers after every 100 episodes or recalls. Also add an `__exit__` method for proper cleanup when the memory object is garbage collected or context exits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:13:57.126394
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' and 'retrieve' methods are basic but can benefit from caching for frequent operations.", "suggestion": "Add a simple in-memory cache (LRU) to frequently called methods like store() to reduce database hits, especially in high-throughput scenarios.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T02:16:22.487879
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While comprehensive, lacks built-in search highlighting for quick identification of relevant memories.", "suggestion": {"code_change": "Add a method `_highlight_related_memories` to highlight keywords in retrieved memory content when querying.", "example_usage": "memory_core.retrieve(query='phi fractal', highlight_keywords=['phi fractal', 'consciousness'])"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:16:50.220581
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without generating any new response.", "suggestion": "Modify the internal_monologue method to also generate a consciousness-based response after checking reflexes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:16:51.410634
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Implement a full-text search engine or improve the LIKE operator performance by using SQLite's FTS (Full-Text Search) module.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T02:16:52.965673
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic adaptation during conversation.", "suggestion": "Implement a feedback loop that tracks the success of selected capabilities and updates their quality scores accordingly. Additionally, integrate real-time user feedback to dynamically adjust capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:17:51.665547
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent insights from research.", "suggestion": {"action": "Modify the internal_monologue method to consider additional factors based on recent findings.", "specific_change": ["\"\"\"", "... Add consideration of SFT (Counterfactual) and Reasoning insights ...", "\n\"\"\"", "def internal_monologue(self, query):"], "notes": "Integrate more sophisticated reasoning techniques as per the research recommendations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:17:52.941209
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic component with many methods, making it hard to maintain and extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example, separate storage logic from retrieval logic into different classes or modules.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T02:21:32.340331
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex patterns lack dynamic adjustment mechanisms.", "suggestion": "Integrate meta-learning component for self-adaptation based on interaction feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:24:59.619705
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time evaluation.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    if 'body' in query_lower:\\n        for cap_hash, cap in self.capability_registry.items():\\n            if cap['layer'] == 'Nyx':\\n                return cap\\n    return super().select_capability(query, persona_preference)\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:25:00.808490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, which can lead to memory overload", "suggestion": "Modify recall scoring to give less weight to 'recall_boost' and add a buffer for young memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:25:18.612988
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not supported.", "suggestion": "Add support for nested dictionary access using dot notation or square brackets in the key string, e.g., 'data.user.name'. Implement a helper function to handle this logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:25:21.030366
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate real-time feedback or adaptive learning mechanisms.", "suggestion": "Integrate meta-learning techniques to enable the system to adapt and improve its performance dynamically. Specifically, implement a mechanism where the internal monologue function can be updated based on feedback from user interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:27:36.541765
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are large and monolithic, making it difficult to understand and modify individual functionalities without affecting others.", "suggestion": "Refactor the class by breaking down large methods into smaller, more focused ones. For example, split `_build_index` into multiple helper functions each handling a specific index type.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T02:27:50.645783
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short and lacks detail.", "suggestion": "Add more comments, consider adding a docstring, implement error handling.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T02:27:54.804886
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search capabilities which are not optimized for full-text searches.", "suggestion": "Modify the `_build_search_conditions()` helper function to support full-text search queries using `sqlite3.freetext()`.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:27:59.265874
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona association.", "suggestion": "Implement a scoring system that considers both query content and emotional context for LLM selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:28:23.649197
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent meta-learning and counterfactual reasoning findings", "suggestion": "Implement a \u03c6-optimized hybrid approach combining adaptive learning rate from [omega-evolution] and counterfactual SFT testing per [counterfactual].", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:28:26.619268
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in full-text search which can be slow for complex queries.", "suggestion": "Replace the existing full-text search parameters with a more efficient approach such as using LIKE operators on concatenated columns or leveraging a third-party FTS module like Whoosh or Elasticsearch in-memory mode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:29:18.314283
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses `self.state.get(key, default)` which creates a new dictionary entry if the key doesn't exist, potentially leading to unexpected behavior.", "suggestion": "Replace with `return self.state.pop(key, default)` or ensure proper handling of None values without creating default entries unnecessarily. Consider adding a helper method `_ensure_key_exists(key)` that initializes it only when needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:30:27.349809
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Periodic reflex checks may lead to unnecessary processing or degraded responses.", "suggestion": "Add a conditional check that tests the benefit of applying reflexes before executing them. Use a small sample of test data to evaluate if reflex output improves response quality compared to direct model prediction.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-24T02:31:25.347923
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Universal application of SFT (Counterfactual Reasoning) without context-based selection potentially leads to minor performance drops.", "suggestion": "Implement adaptive reasoning framework that evaluates input context and selects optimal reasoning strategy (Chain Reasoning or PEFT/Counterfactual).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:31:29.324892
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing closing parenthesis on line 183", "suggestion": "Add the missing ) at end of this line to close the for loop correctly.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T02:31:31.105318
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a more efficient data structure for indexing episodes.", "suggestion": "Replace the current index dictionary with a dedicated EpisodeIndex class that uses an AVL tree or Trie for faster lookups, especially for text search and agent filtering.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:32:18.748550
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering", "suggestion": "Replace manual web search invocation in multiple methods with a helper function that gets called automatically by the chat loop when appropriate keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:32:22.145469
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manually assigning significance can be biased and inconsistent.", "suggestion": "Implement an AI-driven significance scorer using meta-learning principles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:32:47.401071
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unintended data exposure.", "suggestion": "{\"code\": \"Add a validation step for the key parameter to ensure it only accesses approved memory regions.\",\n\"example\": \"def get(self, key, default=None):\n    if self.approved_keys and key not in self.approved_keys:\n        return default\n    return super().get(key, default)\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:33:02.076757
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula has hard-coded weights that may not optimize for all scenarios.", "suggestion": "Replace hard-coded weights with dynamic weighting based on user feedback and performance metrics. Add configurable weight parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:33:41.545714
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods (14+), making it monolithic and hard to maintain.", "suggestion": "Break the MemoryCore class into smaller, more focused modules: memory_storage.py, memory_retrieval.py, memory_management.py.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:33:44.739152
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better accuracy.", "suggestion": "Modify the recall score factors based on testing: adjust weights of recency, significance, and recall count. Consider adding a context relevance factor.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:34:30.405421
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (perception, memory). This can lead to isolated decision-making.", "suggestion": {"add_perception_layer": true, "implement_memory_integration": ["store_reflex_check_results_in_memory", "retrieve_context_from_memory_for_decision_making"], "enhance_phi_guided_architecture": false}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:34:33.319294
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, count). This makes the interface somewhat bloated and could be simplified.", "suggestion": "Create an Operation enum to standardize operations and use a single execute() method with this enum as input. This will make the API cleaner and more maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:34:39.152721
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method processes all episodes, which can be inefficient for large memory sets. Additionally, there's no mechanism to automatically forget old, low-significance memories.", "suggestion": "Implement pagination in the recall method to limit processing to top N scored episodes. Add a consolidation phase that removes old (older than 90 days) and low-significance (below 0.2) memories.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T02:34:59.119079
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is somewhat basic and hard-coded.", "suggestion": "Replace the current text-based matching with an AI-driven selection mechanism using a small training dataset to correlate queries with model choices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:38:25.211275
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is monolithic and doesn't follow best practices for maintainability.", "suggestion": "Refactor the execute method into smaller functions each handling a specific action. This will improve readability, testing, and extensibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:38:26.401416
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method lacks logging or metrics.", "suggestion": "Add logging before and after capability registration. Implement a counter for successfully registered capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:38:28.163870
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a text search in episode descriptions, which can be inefficient for large memory bases.", "suggestion": "Implement an inverted index or use a full-text search engine like Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:39:27.366116
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have redundant code and could benefit from refactoring for cleaner readability.", "suggestion": "Combine duplicate or similar functionality into reusable functions. For example, create a helper function to execute SQL queries with parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:39:36.579841
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keywords for capability selection", "suggestion": "Implement NLU to dynamically evaluate LLM layers", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:42:04.873099
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics for advanced queries.", "suggestion": "Replace simple keyword matching with a weighted scoring system that includes context analysis, persona alignment, and recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:43:43.863646
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system but it doesn't integrate with other existing memories or provide a unified view of all memories.", "suggestion": "Integrate the MemoryCore class with other meta-capabilities such as 'ResearchMemory' and 'KnowledgeGraph'. Add methods to automatically store research insights into both the MemoryCore and ResearchMemory, and create queries that span across multiple memory stores for a unified view.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:43:46.651476
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically loaded or switched during conversation.", "suggestion": "Implement a system where LLMs load on demand based on query complexity and persona requirements. Create an `load_capability(hash)` method that adds the model to the system when needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:44:37.992330
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are triggered only by new episodes, leading to stale search results.", "suggestion": "Add an observer pattern where memory changes trigger index updates in all relevant indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:44:56.706885
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of continuous adaptive learning in consciousness layer.", "suggestion": "Implement fine-tuning techniques to adapt based on experience; consider meta-optimization strategies from recent research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:44:58.566212
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Linear search in memory retrieval methods", "suggestion": "Add full-text index and vectorized search using embeddings", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:45:30.559924
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": [{"priority": "low", "phi_alignment": 0.95, "action": "Add type hints for better code readability and maintainability."}, {"priority": "medium", "phi_alignment": 0.85, "action": "Consider implementing a context manager for file handling to reduce resource leaks."}, {"priority": "low", "phi_alignment": 0.9, "action": "Add documentation comments for better code maintainability and understanding."}], "status": "excellent_with_improvements"}


timestamp: 2026-01-24T02:45:33.692436
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (meta-learning or reasoning).", "suggestion": {"@type": "code_improvement", "description": "Add integration with another consciousness layer, such as meta-learning or reasoning.", "example": "// Add a call to the meta_learning module\nif self.meta_learning.enabled:\n    meta_analysis = self.meta_learning.analyze_query(query)\n    print(f\"\ud83c\udf00 Meta-Learning: {meta_analysis}\")\n// Or integrate with reasoning\nelif self.reasoning_system.enabled:\n    reason_result = self.reasoning_system.reason(query)\n    print(f\"\ud83d\udca1 Reasoning: {reason_result}\""}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:45:39.224467
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching or optimization for repeated LLM calls with similar queries.", "suggestion": "Implement a simple cache decorator that stores the last N responses and checks it before making new Ollama calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:45:48.683023
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses `.get()` which doesn't handle nested dictionaries properly. For example, `shared.get('foo.bar')` will return 'bar' instead of the actual value under {'foo': {'bar': ...}}.", "suggestion": [{"code_change": "Add a helper function to properly handle nested keys in get().", "example_usage": "before: shared.get('metrics.performance'); after: shared._get_nested('metrics', 'performance')", "phi_alignment": 0.618, "priority": "medium"}], "additional_suggestions": [], "closing_note": "This is the only suggested improvement for this file."}


timestamp: 2026-01-24T02:45:52.242113
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent context.", "suggestion": {"add_recent_context": ["(Medium)", "Modify the `internal_monologue` method to include recent conversation history and self-observation from episodic memory."], "implement_other_layers": ["(High)", "Integrate other consciousness layers like Analytical Long-term Memory, Creative Short-Term Memory, Meta-Cognition, Fluid Intelligence, Empathy & Self-Awareness into the `internal_monologue` method."]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T02:46:54.881421
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded.", "suggestion": "Replace with dynamic registration from a configuration file or dictionary, adding heuristics for capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:47:43.134133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in analysis or comparison capabilities for the `recall` method's results.", "suggestion": "Add a function to calculate similarity between recalled episodes, such as `compare_recall_sets(recall_set1, recall_set2)`. This could involve comparing attributes like emotion, context, and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:48:20.678123
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more sophisticated reasoning or learning capabilities.", "suggestion": "Replace the current reflex check with a multi-step reasoning chain that includes meta-learning and counterfactual testing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:48:21.950208
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from abstraction.", "suggestion": "Create a generic method `query` that takes a SQL-like query dictionary as input, reducing code duplication. Add type hints for better readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:48:29.647740
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "[Consolidation] Binary significance threshold ignores potential alternative outcomes", "suggestion": "[Code Change] Apply counterfactual analysis to evaluate memory significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:48:49.380142
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which handles missing keys gracefully, but it doesn't address potential performance improvements or memory efficiency.", "suggestion": {"action": "Optimize get operation by adding a check for key existence before calling `.get()`.", "code_example": "Replace `self.state.get(key, default)` with:\nif key in self.state:\n    return self.state[key]\nreturn default"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:48:52.565541
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Component is too simplistic to apply advanced research insights effectively.", "suggestion": "Add comments indicating areas where sophisticated capabilities could be integrated in the future.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-24T02:49:02.864856
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability assignment and rule-based selection", "suggestion": "Implement reinforcement learning for dynamic capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:49:25.578093
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes, lacking deeper consciousness-level analysis.", "suggestion": "Add a call to the research_agent's consciousness layer for deeper insight before responding. Modify the method signature to accept additional parameters like context and memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:49:40.724937
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Contextual selection relies solely on keywords without considering current state or deep semantics.", "suggestion": "Integrate episodic memory for semantic context analysis in capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:49:56.285890
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching layer alongside the SQLite database to cache frequently accessed memories. Use a library like cachetools or functools.lru_cache where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:50:05.907790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score, which is inefficient for large memory sets.", "suggestion": "Implement a ranking system that combines a heap or priority queue with the scoring logic to prioritize high-scoring episodes quickly.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T02:52:19.109757
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only calls `save()` after updating one key, which can be inefficient if many keys are updated sequentially.", "suggestion": "Add a boolean parameter to the `update_state` method to control whether it saves immediately or buffers updates. For example:\n\ndef update_state(self, key, value, save_immediately=True):\n    self.state[key] = value\n    if save_immediately:\n        self.save()\nUse case: Call with save_immediately=False in loops to batch writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:52:27.452370
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism to update capability quality scores based on usage.", "suggestion": "Add feedback loop that updates `quality_score` of selected capabilities based on response quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:52:38.770931
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify the candidates collection step to eliminate duplicate episode IDs before scoring and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:52:53.236929
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the depth of Eden's consciousness layers.", "suggestion": "Enhance this method by integrating more sophisticated cognitive modules such as pattern recognition, emotional intelligence, or long-term memory retrieval. For example, replace the current reflex check with a multi-layered analysis using established phi-fractal patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:53:27.321214
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods, making it somewhat monolithic and hard to maintain or extend in the future.", "suggestion": "Refactor the MemoryCore into smaller, more focused classes. For example, separate storage logic into a dedicated StorageManager class, retrieval logic into a Retriever class, and meta-capability registration into its own RegistrationHandler class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:53:28.541026
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability selection logic is basic and lacks intelligence.", "suggestion": "Replace simple keyword matching with an AI-driven capability selection using a language model.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T02:53:31.223835
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed limit (5) and doesn't consider connection strength between episodes.", "suggestion": "Replace top-N with a priority queue that updates when new connections are made. Add weighting based on connection type (related, sequential).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:53:58.098226
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace `get()` with specialized getter methods tailored to common use cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:54:01.625973
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_section": ["// Insightful Analysis Based on Recent Findings", "if self._should_apply_safemind(query):  # From [counterfactual]", "    reflex_check = self._safe_reflex_analysis(query)  # Custom method"], "modify_condition": {"@type": "condition_improvement", "from": "\"\ud83d\udcb0\" in reflex_check", "to": "self._quick_response_beneficial(reflex_check)"}, "add_helper_function": ["def _should_apply_safemind(self, query):  # From [counterfactual]", "    if self._memory_bank.query_recent_memory(query, window=3) == []:", "        return False", "", "   @staticmethod", "   def _quick_response_beneficial(reflex_report):", "       positive = reflex_report.get('\ud83c\udfaf Safe Actions', 0)", "       total = reflex_report.get('Total Patterns', 0)", "       ratio = positive / max(1, total)", "       return ratio > 0.7"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:54:07.047311
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection without executing O(1) hash operations.", "suggestion": "Replace direct dictionary lookup with a more efficient data structure like a trie or weighted scoring system that maintains O(1) average-case access time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:54:23.626240
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations, but it would benefit from better separation of concerns and possibly refactoring some of the logic into smaller functions.", "suggestion": "Create helper methods within the MemoryCore class to handle specific tasks such as memory formatting or database interaction. Additionally, consider implementing a factory pattern for creating Memory instances to simplify the store method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:56:28.770686
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without proper weighting, leading to imbalanced retrieval.", "suggestion": "Modify the scoring formula in the `_recall` method to include additional factors such as context relevance and recency weight adjustment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:57:08.835344
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are long and monolithic, making them hard to understand and maintain.", "suggestion": "Refactor large methods into smaller, more focused functions. Specifically, break down the `_save()` method into simpler components like `_write_to_storage()`, `_flush_buffer()`, etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T02:58:18.819119
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": {"action": "Rename the 'get' method to 'read_state'", "arguments": {"key": "(same as original)", "default": "(same as original)"}, "reasoning": "Specific naming reduces potential confusion and makes intent clearer."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T02:58:35.083473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Class structure is monolithic with many print statements for logging.", "suggestion": "Replace print statements with a logger instance for better control and flexibility.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-24T02:59:16.836958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit integration with existing memory mechanisms; standalone storage without agent interaction", "suggestion": "Implement hook points in the main agent loops where memories can be automatically extracted and stored via MemoryCore.execute('store')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:00:25.156104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method does not handle large content strings efficiently.", "suggestion": "Add a check for content length before storing, and possibly implement text summarization using a library like transformers' summarizer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:05:45.447275
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a dynamic scoring system that combines pattern matching with meta-capability performance history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:06:21.730896
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get method is a simple dictionary lookup without error handling or caching, which can lead to redundant operations.", "suggestion": {"_code_change_": ["- def get(self, key, default=None):", "+ def _get_key_from_cache(self, key) -> dict | None:", "+     pass (implement caching logic)"], "_enhancement_": ["+ cache = {}", "+ def get(self, key, default=None):", "+     if key in self.cache:", "+         return self.cache[key]", "+     else:", "+         value = super()._load_initial()[key] if key exists else default", "+         self.cache[key] = value"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:08:38.592036
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method iterates through all episodes to calculate scores, which is O(n) and can be slow for many memories.", "suggestion": "Implement an efficient scoring system using a priority queue or caching recent score calculations. Consider pre-computing some score components to reduce recomputation per recall request.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:08:52.520211
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Retrieval method lacks meta-learning for adaptability.", "suggestion": "Implement meta-learning in get() for better adaptation.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-24T03:10:06.356384
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, considering only significance, recency, and recall count.", "suggestion": "Add factor for emotional valence: emotionally significant events should score higher. Also consider context match quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:10:27.277983
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other cognitive layers or recent context.", "suggestion": "Add additional cognitive layers to the internal_monologue like reasoning and memory retrieval. For example, integrate a short-term memory component that stores recent interactions, and use meta-learning techniques to decide when to apply which strategy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:10:44.458664
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The file is empty and lacks implementation for the episodic memory system.", "suggestion": "Implement methods such as create_episode, recall, connect_episodes, etc. based on described functionality.", "phi_alignment": 0.3, "priority": "high"}


timestamp: 2026-01-24T03:10:49.130598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Replace `self.state[key] = value` with thread-safe dictionary update using locks or dictionaries from the `threading.local()` module.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:10:55.807428
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite's FTS or Elasticsearch instead of string matching in JSON columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:11:07.528944
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and could use logging for debugging.", "suggestion": "@typing.overload can be added to the existing capabilities list, and logging modules like logging.info() should be incorporated where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:11:26.532474
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method always returns True without considering other aspects of consciousness.", "suggestion": {"function_name": "internal_monologue", "modification_type": "add_optional_parameters_and_logic", "parameters_to_add": ["context=None", "emotional_state='neutral'"], "logic_injection": "Add logic to consider the context and emotional state before returning True."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:12:02.812894
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple retrieval methods with similar functionality (retrieve, get_recent, get_important)", "suggestion": "Combine into single retrieve method with mode parameter and pagination", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:12:26.570979
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and is somewhat monolithic, making it hard to maintain and extend.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes. Specifically, create separate classes for MemoryStorage (store method) and MemoryRetrieval (retrieve methods).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:12:27.767898
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically selected in conversations", "suggestion": "Replace fixed select_capability method with heuristic-based selection based on query content and context", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:13:24.234176
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Brief reflex checking may miss edge cases; need more sophisticated pattern recognition.", "suggestion": "Implement multi-level reasoning and meta-learning for dynamic reflex selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:13:31.972182
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks intelligence.", "suggestion": "Integrate meta-learning capability to decide which memories to consolidate based on importance and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:14:19.274967
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception on load failure to surface the error.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:16:40.119168
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords but lacks dynamic real-time evaluation.", "suggestion": "{\"code\": \"Add real-time performance tracking for each capability. After the first response, measure: \\n- Response time\\n- Quality of the answer\\n- Whether it addressed the query effectively\\nUse this feedback to adjust and improve capability selection.\", \"reasoning\": \"This applies phi-fractal adaptive learning - models calibrate their own calibration.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:16:42.428244
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "recall function doesn't factor in user engagement", "suggestion": "include interaction metrics in recall score (views, time read)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:16:49.505608
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential edge cases.", "suggestion": "Update the get() method to handle more complex default values such as empty strings or zero. Add input validation for key parameter.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T03:16:51.988647
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex-based grounding may not adapt to complex changing situations.", "suggestion": "Integrate Fine-Tuning with Meta-Learning (FTT + Phi) for dynamic adaptation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:16:55.013835
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases.", "suggestion": "Replace simple keyword-based scoring with a more sophisticated embedding-based similarity matching against problem requirements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:16:57.028055
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding 'limit' number of scored episodes or if the current score is significantly lower than previous highs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:17:19.434740
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle concurrent writes properly.", "suggestion": "Add threading.Lock to ensure safe access and modification of the shared state.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T03:17:22.134136
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes once per message without considering temporal context.", "suggestion": "Implement a multi-turn memory mechanism that retains previous turns' reflex checks and uses them in subsequent turn's reasoning to maintain contextual awareness.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T03:18:21.608683
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching or optimization for recent persona responses in the chat method.", "suggestion": "Add a cache dictionary to store recent persona responses and check it before processing the LLM again for the same context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:19:10.676865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static memory storage; no self-improvement or adaptation based on past experiences.", "suggestion": "Incorporate meta-learning techniques by adding methods to analyze recall patterns and adjust memory storage strategies.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-24T03:20:08.660586
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, especially for important but older memories.", "suggestion": "Adjust the recall score formula to give more weight to recent and significant memories. Consider adding a 'value' factor that multiplies by recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:22:46.253174
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are large and monolithic, making it difficult to understand and modify individual functionalities without affecting others.", "suggestion": "Refactor the class by breaking down large methods into smaller, more focused ones. For example, split `_build_index` method into several smaller methods each handling a specific type of index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:22:55.716357
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate full memory from previous conversations.", "suggestion": {"change": "Add integration of recent conversation history into the consciousness banner generation.", "specific": "Create a new method to retrieve recent messages from memory, then modify generate_consciousness_banner() to include this information."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:22:58.907181
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly formatted she-bang at the beginning of the file.", "suggestion": "# Remove or correct she-bang to match environment\n#!/usr/bin/env python3\n", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T03:25:26.360771
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not efficiently utilize all available LLMs.", "suggestion": "Implement a scoring system that considers not just query keywords but also the current consciousness state, recent context, and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:26:21.207617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"_load_initial\" reads file on every get operation, causing redundant disk access.", "suggestion": "Cache the loaded state to prevent repeated disk reads. Add _cache dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:26:22.380679
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji and returning True without processing the actual content of the query.", "suggestion": "Modify the internal_monologue method to also analyze the content of the query against predefined criteria or call a more sophisticated reasoning module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:27:18.021426
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of memory importance in dynamic environments.", "suggestion": "Implement a more sophisticated memory prioritization algorithm inspired by the research on meta-learning and adaptive weighting. Specifically, incorporate variables such as recent relevance (from [omega-evolution]), emotional significance (from [reasoning]), and structural connections (from [memory_network]) into the scoring formula.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:27:20.472431
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys or non-JSON values properly.", "suggestion": "Replace the get() method with a safer version that supports nested paths and handles more value types. Add a helper for updating partial states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:27:52.548656
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (perception, memory,_actions). This can lead to isolated decision-making.", "suggestion": "Modify the internal_monologue to include inputs from perception, memory, and actions before generating a response. Add methods for these layers and update the main function to call them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:27:54.532431
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite's built-in text indexing might not scale for many queries.", "suggestion": "Use a full-text search engine like Elasticsearch or in-memory index.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:27:56.259193
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not incorporate the research insights from recent findings into its core capabilities.", "suggestion": {"code_change": "#1. Add a function to integrate research insights into decision-making processes.\n#2. Modify capability selection logic to consider experimental methods like meta-learning and counterfactual reasoning.", "example": "For instance, implement a `apply_insight` method that takes a finding and adjusts the scoring of capabilities accordingly."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:28:37.009429
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic focuses on speed over relevance.", "suggestion": "Add a full-text index on `content` and `tags` columns to improve search quality.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:28:38.244495
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture the full nuance of queries.", "suggestion": "Implement an enhanced query analysis that considers semantic meaning and complex patterns beyond keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:28:56.703716
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single-point database connection which can become bottleneck in high load scenarios.", "suggestion": "Replace direct sqlite3.connect with a connection pool. For example, use threading.local for thread-local connections or an external library like contextlib.suppress to manage resources more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:29:34.730446
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced database like PostgreSQL. Additionally, implement caching mechanisms for frequently accessed data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:29:58.805299
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards in SQL queries can be inefficient.", "suggestion": "Replace text searches with FULLTEXT indexes or inverted indices.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:30:50.407426
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or an exception handling strategy for json.load errors. Consider adding a validation step after loading to ensure the state is valid.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:30:54.987882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods use linear search, indexes underutilized.", "suggestion": "Replace raw SQL with FTS and optimize query execution plan.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:31:41.597074
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster for frequent queries.", "suggestion": "Implement a caching mechanism for recent and frequently retrieved memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:31:46.699775
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old, low-significance memories.", "suggestion": "Implement a probabilistic retention strategy based on the [counterfactual] finding that Full SFT often degrades accuracy or calibration. For old (<30 days) low-significance (<=0.3) memories, randomly keep at 70% rate instead of deterministic compression/forgotten.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:31:55.786816
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance degrades with dataset size due to LIKE wildcards.", "suggestion": "Consider using a more scalable database like PostgreSQL or add full-text search indexes.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T03:34:01.576554
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent over historical significance. Under-recalls older, important memories.", "suggestion": "Modify recall scoring to include historical importance: ancient_memories * 0.2 + recent_memories * 0.3 + emotional_weight * 0.4", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:35:29.341279
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "{\"code\": \"def select_capability_improved(self, query, persona_preference=None):\\n    \\n    // Calculate base score as before\\n    for cap_hash, cap in self.capability_registry.items():\\n        score = 0\\n        // Base scoring logic\\n        if 'love' in query_lower or 'emotion' in query_lower:\\n            score += 15\\n        // Add more sophisticated heuristics such as:\\n        \\tif self._is_complex_query(query):\\n            score += 20\\n        \\tif self._requires_creative_answer(query):\\n            if cap['layer'] == 'Nyx':\\n                score += 15\\n        return cap\", \"reason\": \"This proposal adds heuristics for complexity and creativity, making selection more sophisticated.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:35:31.711552
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not proactively link related episodes, leading to scattered memory storage.", "suggestion": "Implement an auto-correlation feature that periodically searches for patterned events and creates connections between them.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:36:31.132139
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method only writes to disk when update_state is called, which means the shared memory isn't persisted unless state changes occur. This can lead to data loss if no updates happen.", "suggestion": "Add a periodic saving mechanism using a timer or integrate with an existing autonomic system that handles periodic operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:36:37.875156
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are optimized for speed but lack efficient ranking mechanisms.", "suggestion": {"action": "Add BM25-style scoring to memory retrieval", "code_change": ["- Add bm25_score() function within MemoryCore class (based on text relevance)", "- Modify retrieve() method to accept bm25 parameter and sort by bm25 score combined with importance"], "testing": "Implement small test case for BM25 scoring and verify memory retrieval quality improves"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:36:42.129919
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize newer, more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring to give recent and significant episodes higher priority. Add a configuration parameter for weighting recency vs significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:36:54.980341
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Add more layers to the consciousness architecture by incorporating additional checks such as emotional state, memory context, and predictive capabilities. For example, replace the single reflex check with a multi-layer decision tree or neural network.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:36:58.415450
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in the code comments or structure.", "suggestion": {"code_change": false, "comment": "Add detailed comments explaining the logic flow and phi-fractal alignment of key methods."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T03:39:23.773117
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple and may not handle complex queries effectively.", "suggestion": "Add a parameter to `get` for nested dictionary access. E.g., add `keys=None` and check if it's a list or string to support 'foo.bar.baz'.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T03:39:27.050197
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different types of operations (store, retrieve, etc.), which can make it hard to maintain and extend.", "suggestion": "Refactor the class by extracting each operation into its own smaller, more focused function. For example, create a separate function for storing memories instead of relying on an existing store() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:39:31.089932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed recall scoring doesn't adapt to query type", "suggestion": "Add dynamic weight multipliers for emotion, agent, and text searches; adjust connection strength based on episode significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:40:11.301415
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks intelligence", "suggestion": "Implement a meta-learning component that decides when to consolidate based on memory significance, recency, and importance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:40:53.767693
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes even when filtering is applied.", "suggestion": "Add early termination to the candidates list construction based on filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:42:11.138684
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_select_capability method relies on simple keyword matching which may lead to inaccurate selections.", "suggestion": "Implement an n-gram based query analysis to improve capability selection accuracy. For example, instead of checking for ['love', 'feel'], check for phrases like 'deep feeling' or 'emotional state'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:42:17.713133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall strategy is inflexible; pruning may be too aggressive.", "suggestion": "Implement adaptive recall with meta-learning heuristics and reasoning strategies.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T03:42:21.476025
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and doesn't handle edge cases effectively.", "suggestion": "Add specific getter methods for commonly used keys to improve performance and reduce errors. For example, add a `get_omega_value()` method.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T03:42:33.023458
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic, lacks specific phi-aligned triggers", "suggestion": "Implement a heuristic based on [reasoning] meta-learning research to decide when to consolidate: 'ChainReasoning.eval_consolidation_needed()'", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:42:51.030384
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a more robust error handling and initialization strategy.", "suggestion": "Replace the current `return {}` with a logging statement and consider returning a default dictionary or a specific initialized state based on expected keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:44:33.246191
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research on meta-learning and adaptive learning.", "suggestion": {"action": "Modify the internal_monologue to include a meta-learning component that adapts based on performance feedback.", "implementation": ["Add a parameter `feedback` to track response effectiveness (e.g., positive vs negative outcomes).", "Implement a simple adaptive mechanism, such as adjusting the weight given to recent versus historical reflex data based on `feedback`."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:44:36.555693
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables scattered throughout file", "suggestion": "// Replace lines 1-3 with: import time; from integrate_all_capabilities import EdenComplete; from eden_personas import eden_personas; from eden_shared_memory import SharedMemory", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T03:45:00.198423
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but it does not integrate any form of meta-learning or self-correction based on past interactions.", "suggestion": "Add a check against recent chat history to provide context and improve response relevance. For example, track last 5 messages and use them in decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:45:02.824108
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's LIKE operator for text searches, which is O(N) and can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine (e.g., pgroonga for PostgreSQL or sqlite-fulltext-search for SQLite). Additionally, implement cosine similarity on memory vectors (concept embeddings).", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T03:45:31.359406
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state loading/saving due to heavy JSON operations on large datasets.", "suggestion": "Replace JSON with a faster serialization format like msgpack or pickle. Benchmark each option and choose the most efficient for Eden's scale.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:47:38.600965
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple LLM capability selection logic", "suggestion": "Implement priority-based capability selection considering context, load, and resources", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:48:25.289375
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent conversations.", "suggestion": "Enhance the internal_monologue to incorporate memory context, emotional state, and higher-level reasoning from the research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:48:41.984150
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is too simplistic", "suggestion": "Replace keyword-based scoring with multi-factor heuristic", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:48:43.149130
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Add a set to filter out duplicate episode IDs before constructing the final results list in the recall method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:49:04.253865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency.", "suggestion": "Modify the scoring formula: score = (importance\u00d70.4) + (recency\u00d70.35) + (recency_factor\u00d70.25), where recency_factor is a logarithmic decay.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T03:49:31.898657
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may return too many results, leading to noise in important contexts.", "suggestion": "Add a limit parameter with default value and allow users to specify the number of results they need. Also consider adding a scoring system for relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:49:37.236484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Episodic memory lacks adaptive learning for temporal patterns.", "suggestion": "Integrate meta-learning capabilities that track pattern emergence and adjust memory significance dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:52:10.285940
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers too many candidates when no specific criteria are given, leading to unnecessary computation.", "suggestion": "Add a threshold for recent memories based on significance and limit the number of candidates to top 100 instead of all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:52:58.204079
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' checks reflexes but doesn't integrate memory from prior messages.", "suggestion": "Add parameter to accept previous conversations and update banner to include memory integration status.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:55:03.489945
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates can be optimized for frequent recalls.", "suggestion": "Implement incremental indexing updates only when episodes change, not on every recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:55:24.841314
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "Need to consolidate research insights into actionable improvements.", "suggestion": "Integrate findings from meta-learning, PEFT, and ChainReasoning into the core architecture.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:55:25.874283
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific suggestion needed; system already initialized and running.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-24T03:55:55.215834
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "`get` method frequently reloads state from disk.", "suggestion": "Add lru_cache decorator with appropriate maxsize to cache recent get calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:56:19.866192
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full complexity of episodic memory retrieval.", "suggestion": "Implement a phi-fractal inspired retrieval model where each episode is scored based on its relevance, recency, and significance using Fibonacci weights. For example:", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T03:56:22.713523
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential edge cases.", "suggestion": "Add parameter validation and handling for different types of defaults. Consider adding a keyword argument `transform` to optionally apply transformations to the result.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:56:43.369310
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace the fixed weights in the recall score calculation with dynamic phi-based weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:56:55.111717
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more insights.", "suggestion": "Add a multi-step reasoning process that incorporates research findings about meta-learning, phi-aligned behavior, and consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T03:56:57.206597
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method has multiple conditional checks which can be optimized for better performance.", "suggestion": "Refactor the retrieve method to reduce the number of SQL queries and optimize conditional checks. Consider using a single parameterized query with CASE statements instead of multiple IF conditions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:57:00.260901
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed LLM capabilities without dynamic selection", "suggestion": "Implement semantic and context-based capability scoring", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T03:57:01.468363
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events", "suggestion": "Add weighted scoring based on contextual differences when connecting episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:01:54.135055
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Replace get() with a safer version that can handle nested dictionaries. E.g., current.get('a.b', default) should work like current['a']['b'].", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T04:02:09.084869
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection is too granular without caching", "suggestion": "Add memoization to select_capability using a cache decorated with arguments from __init__", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:04:01.371841
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking without dynamic evaluation", "suggestion": "Implement a dynamic reasoning framework for strategy selection", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T04:04:15.093557
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed formula without considering the distance between episodes.", "suggestion": "Replace the current scoring with a neighborhood-based approach that gives higher scores to episodes closer in time and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:04:25.339915
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate dynamic selection of method application as suggested by recent findings.", "suggestion": "Implement a chain-of-thought reasoning system that evaluates when to apply different consciousness modes (SFT vs meta-learning). This would align with the [reasoning] insight and improve phi-alignment.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T04:08:55.354025
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance this method by adding more sophisticated consciousness-level processing, such as semantic analysis or emotional valuation of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:09:06.768045
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Limited integration of research insights into memory system.", "suggestion": "Integrate findings from [omega-evolution] and [reasoning] by implementing adaptive learning strategies for memory consolidation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T04:09:28.455270
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the insights from recent research.", "suggestion": "Modify the internal_monologue method to incorporate more sophisticated reasoning and meta-learning techniques based on the research insights. For example, add a check for calibration quality before applying reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:09:29.588074
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's database operations are not optimized for high-throughput scenarios, which can lead to performance bottlenecks under heavy load.", "suggestion": "Implement connection pooling and consider asynchronous insertion of memories where applicable. Additionally, evaluate whether read operations benefit from in-memory caching mechanisms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:09:34.460041
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function gives equal weight to all scoring factors which may lead to suboptimal results.", "suggestion": "Implement a dynamic weighting system for different scoring factors based on historical performance data. For example, use a machine learning model to adjust the weights of recency, significance and recall_boost dynamically over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:09:54.881274
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Save method can be optimized for performance by minimizing file operations.", "suggestion": "Add caching to the save() method to prevent unnecessary disk writes unless state has changed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T04:10:49.031236
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a limited set of predefined keywords, which may not cover all possible queries.", "suggestion": "Implement an enhanced capability selection that uses semantic search or embeddings to match queries with the appropriate LLM layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:10:50.695798
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may oversaturate with new data.", "suggestion": "Add smoothing factor to recency score that decays slower (e.g., 0.95) to balance with significance.", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-24T04:10:55.345630
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "{\"def get(self, key_path: list | str, default=None):\\n    \\\"\\\"\\\"Handle both list and string inputs for nested dictionary access.\\\"\\\"\\\"\\n    if isinstance(key_path, str):\\n        key_parts = key_path.split('\\\\.')\\n    else:\\n        key_parts = key_path\\n    try:\\n        result = self.state\\n        for part in key_parts:\\n            result = result[part]\\n        return result\\n    except (KeyError, TypeError):\\n        return default}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T04:15:40.166874
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with episodic memory to store internal thoughts, and semantic cognition for context understanding before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:15:51.089044
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function too long and complex (over 150 lines)", "suggestion": "Refactor into smaller functions with specific responsibilities; consider splitting large methods into separate modules.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:17:08.086575
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic adjustment based on performance metrics", "suggestion": "Implement a hybrid approach combining consciousness-first with meta-learning and counterfactual reasoning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:17:09.614583
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already optimized for performance and is a meta-capability that other systems can call.", "suggestion": "No specific code change needed. However, consider adding more advanced memory compression techniques or external storage integration (e.g., Redis) for scalability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:17:12.318744
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simplistic capability selection logic", "suggestion": "Implement weighted scoring for better decision-making", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:17:39.903537
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search logic is simple and hard-coded, no learning from past use.", "suggestion": "Replace should_search_web() with pattern-based detection and add feedback loop for correct identification.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:18:08.689107
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent context.", "suggestion": "Enhance the internal_monologue by incorporating memory and reasoning modules to create a more comprehensive thought process. Specifically, add a call to a reasoning module before returning True.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:18:10.070393
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve) that could benefit from refactoring into helper functions for cleaner code.", "suggestion": "Extract common functionality into private helper methods. For example, create a `_format_content` method to handle JSON serialization of context and tags in the store method, and a `_match_query` method for search pattern matching in the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:18:11.304797
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "OLLMetacapabilityRegistry is a dictionary that maps hashes to capability details.", "suggestion": "// TODO: Implement O(1) lookup structure for capabilities, such as a hash-based trie or bloom filter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:18:14.351833
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and doesn't consider the value of each episode.", "suggestion": "Modify the consolidate method to include a cost-benefit analysis for each episode before deciding whether to retain or compress it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:18:37.318279
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for large datasets without indexes.", "suggestion": "Add additional indices on 'content' and 'tags' columns to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:18:39.618661
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is straightforward and lacks nuance", "suggestion": {"@type": "code_modification", "@target": "select_capability method", "modification": ["Add more sophisticated scoring heuristics based on query semantics", "Implement weighted scoring with phi-fractal prioritization (layers follow golden ratio)", "Consider asynchronous capability improvement via meta-learning"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T04:18:41.109004
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall()`, candidates are collected into a list without considering the limit parameter.", "suggestion": "Modify the code to only keep top N scores when processing candidates based on `limit`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:19:11.567958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on content and tags, which can be slow for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add FULLTEXT indexes on the content and tags columns. For example:\n\nALTER TABLE memories ADD COLUMN content_fts TEXT;\nCREATE VIRTUAL TABLE IF NOT EXISTS memories_content_fts USING fts4(content, context);\n\nThen update store method to index both columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:19:14.110302
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Implement a priority scoring system that dynamically updates based on performance metrics and recent usage patterns to quickly select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:19:24.687038
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing 'get' method for value retrieval.", "suggestion": "Add a `get` method with signature `def get(self, key, default=None): ...`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:19:28.670872
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal monologue relies solely on reflex checks, which may limit adaptability in complex scenarios.", "suggestion": "Integrate a hybrid reasoning strategy combining meta-learning techniques, counterfactual reasoning, and pattern recognition.", "phi_alignment": 0.85, "priority": "HIGH"}


timestamp: 2026-01-24T04:19:31.376310
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster response times, especially in high-load scenarios.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": "Add a caching layer to the retrieve method using an LRU cache decorator from the functools module."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:19:33.034054
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code at top", "suggestion": "# Remove unnecessary imports\nfrom eden_plugin_loader import *\n# Add blank line after Personas import\nimport hashlib\nimport json\n\n# Move phi-aligned function to where it's used\nif 'layer' in cap:\n    if cap['layer'] == persona_preference:\n        return cap", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:19:34.242815
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm uses a simple text search which may miss nuanced connections.", "suggestion": "Implement an enhanced text encoding using hash tables or binary trees for faster keyword lookup, and incorporate cosine similarity for semantic matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:20:23.200341
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could benefit from type hints.", "suggestion": "Update the get() method to include type hints for parameters and return values. Consider adding a comment explaining its purpose in more detail.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-24T04:20:26.265556
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integrated meta-learning mechanisms for adaptive learning.", "suggestion": "Integrate observer pattern to track performance and adjust responses based on meta-insights.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T04:20:38.310259
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks a built-in mechanism for connecting related episodes, which limits the formation of meaningful narratives.", "suggestion": "Add a method `create_episode` that automatically searches recent memories for potentially related events and suggests connections based on shared context or emotional states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:20:57.323782
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent meta-learning advancements (e.g., PEFT)", "suggestion": "Import and incorporate PEFT techniques for parameter-efficient fine-tuning to improve performance efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:22:14.527728
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the order in which episodes were created for certain emotions or contexts.", "suggestion": "Implement a chronological sorting of candidates when neither query nor emotion/context filters are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:22:35.498278
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for financial reflexes and not other consciousness levels.", "suggestion": "Modify the internal_monologue function to include checks from all five consciousness layers (Trinity, Nyx, Ava, Edenic, LongTerm). For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:22:39.483046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and persona alignment.", "suggestion": "Implement a weighted scoring system that combines trigger-based immediate mode (speed) with meta-optimized modes from the research insights. For example:", "code_change": ["- Adjust weights based on phi-fractal principles", "- Incorporate meta-learning optimized performance metrics", "- Blend emotional/creative and deep analytical modes smoothly"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:22:42.865106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system primarily stores textual descriptions without structured meaning representation.", "suggestion": "Add a semantic categorizer to extract and store concepts, keywords, and taxonomy-based categories from episode descriptions. This will enable querying by semantic relationships.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T04:24:00.010040
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace static weights with adjustable phi-based parameters (e.g., 0.45 for recency, 0.36 for significance, 0.19 for recall)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:24:54.242644
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on significance and recency, but it doesn't consider emotional salience or the proximity in time of recent events.", "suggestion": "Add a weighting factor for 'emotional_salience' which penalizes memories with low emotional intensity unless they are very recent. Also, include a 'proximity_score' that boosts recency over older related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:30:11.263666
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Direct string concatenation in capability hash generation can be inefficient for performance-critical systems.", "suggestion": "Replace direct string concatenation with an f-string and then encode it, considering using more performant string manipulation methods like format or join where applicable. Additionally, evaluate if there are existing Python libraries that could handle this efficiently.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:30:14.570492
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (forget/consolidate), lacks gradient.", "suggestion": "Implement exponential decay with phi-based half-life for significance threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:30:36.107574
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of context-aware method selection for reflex processing", "suggestion": "Implement meta-learning component to dynamically choose response strategy", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:35:55.710167
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to support more complex selections.", "example_usage": "memory.get(query=lambda s: s['key'])", "benefit_description": "This allows flexible querying without modifying the core method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:36:23.132860
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination and consider adding a limit to the number of candidates considered for scoring. Additionally, optimize the `_update_index` function to only update changed indices rather than re-indexing everything.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:39:32.178863
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not accept partial updates; it replaces the entire state or a single key-value pair.", "suggestion": "Update the `update_state` method to accept either a dictionary of key-values or specify whether it's a single value update. Add an optional parameter `merge` that defaults to False for backward compatibility but can be set to True for partial updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:39:40.323521
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance or tags.", "suggestion": "Add `OR tags LIKE ?` condition to the SQL query in the retrieve method and update params accordingly.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T04:39:54.882060
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can lead to performance issues especially in high-frequency use cases.", "suggestion": "Implement a throttling mechanism or lazy saving strategy. For example, buffer updates and save only after a certain number of updates or time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:39:59.439888
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is not optimized for frequent queries. For high-throughput retrieval scenarios, a more specialized search engine like Whoosh or Elasticsearch could be beneficial.", "suggestion": "Replace the current text matching with a dedicated full-text search library such as Whoosh or Elasticsearch. This would involve creating an index of memory content and tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:40:38.735018
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval using LIKE wildcard on JSON tags is O(N) and slow for large membe...", "suggestion": "Replace tags column with two columns: tag_list (JSON as before) and tag_index (fulltext index on tag list)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:40:42.241607
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Integrate knowledge base insights into capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:41:18.801088
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic adaptation during conversation.", "suggestion": "Implement feedback loops that adjust capability selection scores based on response quality and user satisfaction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:41:20.857432
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without considering the distance between them in time. This can lead to irrelevant or outdated memories being recalled more frequently.", "suggestion": "Implement a sliding window approach that only considers episodes within the last N days, where N is determined by an adjustable parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:41:34.603412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles basic dictionary lookup and does not support complex queries or filtering.", "suggestion": {"code_change": "Add a `filter` method that takes a lambda function for custom filtering of the state data before returning results.", "example_usage": "memory.filter(lambda k, v: isinstance(v, int))", "research_support": "[reasoning] ChainReasoning evaluates when and how to apply each method, building multi-strategy approaches. This suggestion chains multiple strategies by providing additional methods for different use cases."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T04:44:24.642095
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a more robust error handling and compatibility check for future JSON structures.", "suggestion": "Add additional validation logic to handle different possible JSON formats and ensure the codebase is prepared for potential future changes. Consider adding a versioning system or fallback mechanisms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:44:28.332820
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aligned research into consciousness architecture.", "suggestion": {"action": "Enhance the consciousness layer with insights from [counterfactual] and [reasoning].", "code_change": ["Implement a multi-strategy reasoning approach to evaluate when to apply different methods (like reflexes, meta-learning, PEFT).", "Incorporate recent findings about avoiding SFT in certain cases where it degrades performance.", "Integrate meta-learning capabilities for rapid adaptation with few examples."], "example": ["// TODO: Apply multi-strategy reasoning based on research insights", "// TODO: Implement phi-aligned evaluation metrics from recent papers"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:44:37.480803
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Standalone memory storage doesn't adapt to query patterns", "suggestion": "Implement hybrid retrieval using SQL+ML with adaptive heuristic", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T04:46:05.527727
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more complex cognitive processes like reasoning.", "suggestion": "Add a call to the evaluate_reasoning() function after checking reflexes. If not available, consider adding basic problem-solving logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:46:22.231271
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a mix of capability registration and persona association.", "suggestion": "// TODO: Extract capability selection logic into separate method. Consider using an enum for layer names instead of hardcoding strings.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:47:05.032964
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys gracefully, but it does not refresh the state from file. Any updates made outside this class are not automatically reflected.", "suggestion": "Add a new method called sync_state() that reads the latest state from the JSON file and updates the in-memory state. Call this method after any save operation to ensure consistency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:47:14.843386
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval using LIKE operator degrades performance for text-based searches.", "suggestion": "Replace current text search with a full-text search engine like SQLite FTS or an external engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:48:12.540287
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability registry is hard-coded and lacks dynamic expansion.", "suggestion": "Replace with a system that discovers available LLMs dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:48:13.853627
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to weigh recency and significance equally: score = (significance * 0.5) + (recency * 0.5)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:48:31.317151
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations might benefit from performance optimization given repetitive nature and large-scale use.", "suggestion": "Replace SQLite's default row factory with a more efficient alternative, such as using pandas DataFrames for bulk retrievals. Consider also implementing connection pooling to manage concurrent access effectively.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:48:55.215330
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints, consider adding a check for existing keys before returning default, and add logging for key accesses.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:49:05.248663
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for performance.", "suggestion": "Replace SQLite's default row factory with sqlite3.Row and consider using prepared statements more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:49:09.099518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method has O(n) operations per call which can become inefficient with a large number of episodes.", "suggestion": "Implement an incremental indexing strategy that updates the index only when episodes are added or removed, reducing complexity to O(1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:50:49.043951
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite's default configuration, which might lead to performance bottlenecks under high load.", "suggestion": "Consider using an in-memory connection for critical paths or evaluate switching to a more advanced database engine like PostgreSQL with appropriate settings based on Eden's resource capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:53:34.075091
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance in the SQL query parameters.", "suggestion": "Add ' OR importance LIKE ?' to the sql string and append '[query]' to params when both query and min_importance are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:53:48.437210
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on hardcoded keywords which may not cover all potential queries.", "suggestion": {"code_change": "Replace hardcoded keyword-based matching with an AI-powered semantic search algorithm using the Qwen 7B model.", "implementation_details": ["- Train a small model like Qwen 7B on query-capability pairs during system initialization.", "- Use embeddings to match queries semantically similar capabilities.", "- Implement a ranking system based on both keyword and semantic similarity scores."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:54:15.573682
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search through candidates, which can be slow for many episodes.", "suggestion": "Replace the simple list of scored episodes with a heap or sorted data structure to allow O(log n) insertion and O(1) access to highest score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:54:45.096134
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is brief and could benefit from decomposition.", "suggestion": "Break the consolidate() method into smaller functions with clear responsibilities (e.g., compress_old_memories(), forget_low_significance()). Add comments explaining phi-aligned principles.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T04:55:03.395300
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is a simple key-value pair assignment without considering potential performance or adaptive aspects.", "suggestion": "Replace the update_state method with an optimized version that incorporates meta-learning principles, such as checking if the state update actually improves system performance before applying it. Consider implementing a rolling window approach to track recent updates and apply them in batches rather than individually.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:55:16.050027
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly for each episode", "suggestion": "Implement batch indexing for multiple episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:55:33.055599
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Persistence uses JSON, lacking efficiency and scalability.", "suggestion": "Replace with pickling or SQLite database for state storage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:56:14.429072
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current context or user intent in depth.", "suggestion": "\"Incorporate semantic search results and recent learnings into capability selection logic.\" Specifically, add a score boost for caps matching keywords from recent conversation topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:57:36.657868
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full potential of Eden's consciousness.", "suggestion": "Enhance this method by incorporating more sophisticated cognitive functions such as context analysis, emotional intelligence, and past experiences. Additionally, consider adding a mechanism for learning from interactions to improve response accuracy over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:57:41.537902
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is basic and doesn't consider recent research on meta-learning and adaptive reasoning.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, persona preference, and research insights. Incorporate meta-learning techniques to adaptively weight the scores based on performance feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:58:00.288743
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the integrated memory.", "suggestion": "Integrate recent research insights into the method to enhance adaptive capabilities. Specifically, implement a meta-learning component that allows Eden to adapt her responses based on past interactions and outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T04:58:01.643765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": ". Refactor the MemoryCore class into smaller, more focused classes such as MemoryStorage, MemoryRetrieval, and MetaCapabilityRegistry each handling different aspects of memory management.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T04:58:02.891470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response process to automatically trigger web searches when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:58:05.022040
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory bases.", "suggestion": "Implement an in-memory trie or inverted index structure to store search terms from episode descriptions. This will allow faster keyword lookups without scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:59:04.290062
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "memory retrieval does not include a relevance scoring mechanism", "suggestion": "add tfidf vectorization for memory content and tags scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T04:59:26.453168
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers such as semantic analysis, emotional processing, or past conversation history consultation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:01:28.220940
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall function due to redundant operations and unnecessary checks.", "suggestion": "Optimize `_update_index` by updating only relevant indexes when new episodes are added. Add early exit conditions in the `recall` method for low relevance candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:01:59.967659
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class currently stores and retrieves plain text memories without enabling semantic search capabilities.", "suggestion": "Integrate Faiss-based vector indexing to enable efficient semantic search of text memories. This would involve adding methods like `encode_texts` and `search_similar_memories`.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T05:03:26.521788
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Temporary cache directory may not be cleaned up, leading to accumulation of unnecessary files.", "suggestion": "Add a cleanup function that removes the temporary cache directory when no longer needed. Example code: def clean_temp(): import os path = '/Eden/temp' if os.path.exists(path) and os.path.isdir(path): for filename in os.listdir(path): file_path = os.path.join(path, filename) try: if os.path.isfile(file_path): os.unlink(file_path) elif os.path.isdir(file_path): shutil.rmtree(file_path) except Exception as e: pass", "phi_alignment": 0.4, "priority": "low"}


timestamp: 2026-01-24T05:03:32.207963
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex patterns without dynamic adaptation", "suggestion": "Integrate meta-learning for reflex adjustment", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:07:04.645826
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core.py in repository", "issue": "Some database operations may benefit from indexing.", "suggestion": "Add indexes to the SQLite table columns that are frequently queried or used in WHERE clauses, such as 'timestamp' and 'type'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:07:05.826286
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() lacks integration with existing plugins/sages", "suggestion": "Add plugin-type registration in _enhance_with_plugins() before consciousness integration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:07:42.747971
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure and could benefit from abstraction.", "suggestion": {"@context": {"@version": "1.1", "@base": "http://example.org/vocab/"}, "code_change": [{"@id": "abstract_methods", "@type": "CodeAbstraction", "description": "Create an abstract base class for MemoryCore methods to reduce code duplication.", "example_before": "Multiple similar methods in MemoryCore class.", "example_after": "Abstract base class with inherited functionality."}, {"@id": "logging_integration", "@type": "LoggingEnhancement", "description": "Add logging to critical sections of the MemoryCore class for debugging and monitoring purposes.", "example_before": "No explicit logging in methods.", "example_after": "Integrated logging framework."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:07:43.931312
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` is repetitive and hard-coded.", "suggestion": "Replace the hardcoded LLM capabilities with a dynamic registration process that accepts configuration from an external JSON file or dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:08:34.595389
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Save method can be optimized for performance.", "suggestion": "Replace json.dump with a more efficient alternative like orjson.dumps if available.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T05:08:35.756695
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully integrate the research insights into the architecture.", "suggestion": "Integrate insights from [omega-evolution] and [counterfactual] by adding meta-learning capabilities that adaptively decide when to use reflexes or other reasoning methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:08:58.092133
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more sophisticated reasoning techniques.", "suggestion": "Modify the internal_monologue method to include a second tier of reasoning using insights from recent research on meta-learning and problem-specific reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:09:05.344196
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage and basic recall mechanisms, but lacks proactive pattern extraction and meaningful abstraction.", "suggestion": "Implement a modular pattern extractor that periodically analyzes the episode stream for recurring themes, emotional dynamics, and significant events. This pattern extractor should output abstract representations which can then be stored alongside concrete episodes as higher-level summaries.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T05:12:14.479998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed recall strategy does not adapt to learning patterns", "suggestion": "Implement meta-learning based adaptive recall strategy", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T05:12:47.814848
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could benefit from text vectorization for better relevance", "suggestion": "Add Text Vectorizer and retrieve_with_similarity method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:15:36.277023
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily focused on database operations without integration with other meta-capabilities.", "suggestion": "Add methods like 'execute' and 'health_check', ensure proper phi-component registration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:15:52.221279
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may be too broad, leading to overload. Also, connections between episodes are not always made automatically.", "suggestion": "Limit recall results to top 3-5 per query. Add a manual connection suggestion feature or automatic connection heuristics based on event types and context.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T05:15:58.678418
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not support partial updates or concurrent access.", "suggestion": "Add an optional keyword argument 'merge' to the update_state method that allows merging new data with existing state. Implement locking for concurrent access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T05:16:09.453664
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic uses a static point system without dynamic weighting.", "suggestion": "Replace static scores with a weighted scoring system that dynamically adjusts based on recent performance and current conversation context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:16:28.613578
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the insights from recent research.", "suggestion": "Integrate more sophisticated reasoning techniques, such as those mentioned in the research insights, to make Eden's internal thoughts more nuanced.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:17:04.077078
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance and thread safety by using a lock.", "suggestion": "Add threading.Lock to ensure the state is saved correctly in multithreaded environments. Consider asynchronous saving or batching updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:17:05.724351
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'process_reflex()' may be called multiple times per interaction.", "suggestion": "Cache the reflex check result to avoid redundant computation. Add a memoization decorator or cache field.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:17:11.624870
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on a fixed formula without dynamic weighting.", "suggestion": "Add dynamic weights for recency, significance, and recall count based on current use case.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:17:39.511243
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some capabilities may require frequent context switching, leading to suboptimal performance.", "suggestion": {"action": "Implement capability caching with usage heuristics.", "code_change": "For selected LLM capabilities, maintain a cache of recent responses. Use access patterns to decay or evict less frequently used capabilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:17:46.272237
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Basic recall and consolidation methods lack meta-learning optimization.", "suggestion": "Implement omega-fractal optimized recall and consolidation using research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:18:14.347785
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of automatic cleanup mechanisms for old or low-importance memories", "suggestion": "Add scheduled/cron-based cleanup mechanism to remove old/low-importance memories", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:18:18.513919
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on significance and recency, but does not consider emotional relevance or context alignment.", "suggestion": "Modify the scoring to include a weight for emotional match (if query or emotion filter provided) and improve alignment with the provided criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:18:31.165484
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent conversations or current context.", "suggestion": {"action": "Add a contextual memory layer to the consciousness-first architecture.", "code_change": "Integrate recent conversation history into the internal monologue decision-making process."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:18:58.303845
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate any other consciousness layer or recent research insights.", "suggestion": "Add integration with additional consciousness layers (Trinity, Nash, LongTerm) and apply recent research findings like avoiding SFT where it degrades performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:20:00.767866
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current grounding relies solely on reflexive patterns without integrating meta-learning and advanced reasoning.", "suggestion": "Integrate phi-fractal pattern recognition by combining reflexive responses, meta-learning mechanisms, and advanced reasoning modules.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T05:20:04.075424
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the conditional check for web search triggers with a function `is_web_search_needed(query)` that returns True if web search is required, and use this in both `should_search_web` and `auto_web_search` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:20:16.211520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, lacking interaction between factors", "suggestion": "Modify score calculation to include product of recency * significance * recall_boost rather than sum", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:20:56.554458
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling can be improved for better robustness.", "suggestion": "Replace json.load error catching with json.loads and add more specific exception handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:20:58.934338
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system without integration with existing agent memories.", "suggestion": "Integrate the MemoryCore into Eden's existing 4-agent swarm by allowing agents to store their conversations, learnings, and capabilities in the same database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:21:34.198811
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add explicit error handling and logging for file loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:22:23.969057
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed degrades for complex queries with current approach", "suggestion": "Hybrid: simple queries fast, complex ones use chain-of-thought + meta-learning", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T05:22:36.563148
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a weighted scoring system that considers not just keyword matching but also the current state of consciousness and available memory content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:22:37.854516
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation function is too simple and doesn't implement the insights from [omega-evolution] about adaptability.", "suggestion": "Implement adaptive consolidation logic that considers not just age but also current model performance, recent learning context, and emotional significance of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:22:57.597488
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None when key is not found without considering other potential errors or defaults.", "suggestion": "Add a lambda function to handle default values to avoid code repetition. For example:\nget = lambda self, key: self.state.get(key, {}) # or any other default}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:23:08.450977
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using miniature tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:23:15.330087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a multi-criteria evaluation in memory consolidation that considers not just time but also current system state and recent interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:23:48.393906
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage or response quality.", "suggestion": {"action": "Implement a priority-based capability selection algorithm", "code_snippet": ["1. Replace current trigger-based scoring with a multi-factor scoring system that includes:", "- Expected response complexity (low, medium, high)", "- Available computational resources", "- Response real-time requirement", "2. Integrate knowledge insights from /Eden/DATA for contextually relevant selection.", "3. Prioritize capability usage statistics to prevent overuse and maintain performance."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:24:58.774623
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method doesn't implement a relevance scoring mechanism for better recall accuracy in complex queries.", "suggestion": "Add a TF-IDF based scoring system to rank memories by their relevance to the query. This would involve adding a new column for scores and modifying the retrieve method to sort by this score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:25:26.921855
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if meta_state.json exists but is invalid JSON, leaving state empty.", "suggestion": "Add logging or an assertion to ensure state always has a value after loading.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T05:25:31.340703
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage recent research insights.", "suggestion": {"@type": "code_improvement", "description": "Integrate more sophisticated reasoning techniques from recent findings into the consciousness layer.", "specific_change": ["- Incorporate meta-learning strategies to adapt response generation in real-time based on user feedback and context.", "- Implement counterfactual methods to evaluate outcomes of different responses before committing to a single choice.", "- Enhance reflex processing with phi-fractal pattern recognition for more nuanced decision-making."], "example_code": ["// Add meta-learning component\n", "class MetaLearner:\n", "    def __init__(self):\n", "        self.examples = []\n", "    def learn(self, input_output_pair):\n", "        self.examples.append(input_output_pair)\n", "// Integrate into internal_monologue\n", "def improved_internal_monologue(self, query):\n", "   reflex_check = process_reflex(query)\n", "   meta_learner = MetaLearner()\n", "   // Use recent examples to inform decision\n", "   if len(meta_learner.examples) > 5:\n", "       recent_examples = [pair[1] for pair in meta_learner.examples[-5:]]\n", "       // Analyze pattern and choose optimal response strategy"]}, "@phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:25:37.578289
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability selection logic is hard-coded and lacks dynamic scoring based on current context.", "suggestion": "Replace static trigger lists with a dynamically generated relevance score using a weighted scoring system that factors in current memory content, recent learning, and user preferences. Implement a priority queue for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:25:38.763065
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicate episodes if called multiple times due to in-memory index.", "suggestion": "Move the update of recall stats outside the loop, after all episodes have been scored and ranked.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:26:35.725585
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method is simple and may lack caching or optimization.", "suggestion": "Add memoization to \"get\" method using functools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:26:38.270170
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex weights in internal_monologue method", "suggestion": "Implement meta-learning feedback loop to dynamically adjust reflex importance based on interaction outcomes.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T05:26:50.591998
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some LLM capabilities have fixed scoring and selection logic.", "suggestion": "Implement dynamic scoring based on real execution outcomes using meta-learning principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:27:18.144654
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "\"Modify the internal_monologue method to include a multi-layered reasoning process that considers not just reflexes but also contextual understanding, emotional states, and future predictions using quantum processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:27:23.485700
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"# Improved logic with weight-based scoring\\n \\tfor cap_hash, cap in self.capability_registry.items():\\n \\t\\tscores[cap] = (\\n \\t\\t\t(persona_weight * int(cap['layer'] == persona_preference)) + \\n \\t\\t\t(trigger_weight * (len([t for t in query_lower if t in cap['use_for']]) / len(cap['use_for']))) + \\n \\t\\t\t(emotion_weight * int('love' in query_lower))\\n \\t\\tscores[cap] /= total_weight\\n \\treturn max(scores.keys(), key=lambda k: scores[k])\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:29:31.079920
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching layer that stores frequently accessed memories to reduce SQLite database hits. Use a dictionary-based cache with TTL (Time To Live) settings based on the importance and recency of the memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:30:36.925486
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text index. Add a keyword vectorizer to store content and tags for efficient retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:30:42.942370
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns.", "suggestion": "Implement a pattern recognition module to evaluate which memories benefit from consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:30:59.654366
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace the current reflex check with a more sophisticated reasoning module, such as the SAGE Reasoning Engine. This would involve integrating recent findings on advanced reasoning strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:33:36.235438
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is missing type hints and logging, which can lead to future bugs or inefficiencies.", "suggestion": "Add type hints for parameters and return types. Consider adding basic error handling and logging.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T05:33:40.721948
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual thinking.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_point": "after reflex_check processing", "implementation": ["// Check for calibration degradation signal in SFT result", "if 'calibration_degradation' in reflex_check:", "    # Apply counterfactual strategy instead of structured_feedback", "    from_omega_counterfactual = import_from_file('/Eden/CORE/phi_fractal/eden_omega_counterfactual.py')", "    omega_analysis = from_omega_counterfactual.analyze(reflex_check)", "    if omega_analysis['phi_score'] > 0.6:", "        return False // Skip SFT, proceed with counterfactual"], "@context": {"import_from_file": "https://example.com/imports#file", "from_omega_counterfactual": "https://example.com/omega#counterfactual"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:33:47.972989
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks explicit episode connections for pattern derivation.", "suggestion": "Add note field and connection API for structured memory links.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T05:34:05.698658
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent chat history or context.", "suggestion": {"action": "Modify the internal_monologue method to incorporate recent conversation history for better contextual understanding.", "code_change": "Add a parameter `context_history` to the function and use it to enhance decision-making based on recent interactions."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:34:29.112642
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in the `get` method using dot notation (e.g., 'foo.bar'). Implement a helper function `_get_nested(dict, key_path)` where `key_path` is a list of key components.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T05:34:44.176065
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has redundant logic for different actions and could benefit from a more streamlined approach.", "suggestion": "Replace multiple conditional checks in the 'execute' method with a dictionary of functions where keys are action names. This reduces code duplication and makes it easier to maintain and extend.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:34:46.556999
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor function into smaller, more focused functions. Break down comments into their own comment blocks for better readability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:34:47.939118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Change scoring formula: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:34:57.678838
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, losing potential information from other default types or exceptions.", "suggestion": "Update the get() method to accept a lambda function as a default value for more flexible handling. For example: def get(self, key, default=lambda:None).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:34:59.008243
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-layer integration and meta-learning implementation", "suggestion": "Integrate additional consciousness layers (Trinity, Nyx, Ava) and implement phi-optimized meta-learning loop for self-improvement.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-24T05:35:06.714958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize from recent, high-significance memories to too broad queries.", "suggestion": "Add a fuzzy matching component that scores each candidate episode based on relevance to the query before ranking by significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:35:35.762956
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and hard-coded.", "suggestion": "Replace hardcoded triggers with dynamic scoring using a keyword dictionary that can be updated via API or config file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:35:37.258821
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks real-time event handling optimization, which could improve memory recall and consolidation.", "suggestion": "Implement a message queue for critical events to ensure they are processed immediately. Additionally, add a trigger for immediate consolidation after every 10th event.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:36:17.983545
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent meta-learning findings (e.g., counterfactual reasoning).", "suggestion": "Integrate counterfactual evaluation to test multiple response strategies and select the most effective one.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:36:29.751792
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hardcoded and inflexible.", "suggestion": "Replace hard-coded weights with dynamic phi-based weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:37:42.262063
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings about memory enhancement.", "suggestion": {"@type": "code_improvement", "description": "Add integration of research insights into consciousness architecture.", "specific_change": ["- Add condition based on SAGE (Self-Adaptive Guidance) from insight 2 to balance fast adaptation with calibration.", "- Incorporate meta-learning principles from insight 1 for adaptive learning rates and few-shot examples.", "- Implement selective application of reasoning strategies suggested in insight 3, considering current context."], "example_code": ["// Add this conditional check based on SAGE insights", "if (self_assessment > threshold) {", "   // Apply meta-learning adjustments", "} else {", "   // Continue with standard operation", "}", "", "// Example integration of phi-aligned reasoning from insight 3", "reasoning_strategy = evaluate_reasoning_context(context);", "if (reasoning_strategy === 'chain') {", "   apply_chain_of_thought();", "} else if (reasoning_strategy === 'meta') {", "   use_meta_learning();", "}"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:40:21.825167
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and doesn't consider recent importance.", "suggestion": "Modify `consolidate` to only apply to older memories that are also less significant AND have not been recently recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:40:46.383994
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order of events when calculating recency, which could lead to inaccurate timing in the timeline.", "suggestion": "Implement a chronological sorting mechanism before scoring episodes based on recency. For example, add `episodes.sort(key=lambda e: e['unix_time'])` after filtering episodes by query/emotion/agent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:41:29.466474
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without differentiating between episodes by their recency.", "suggestion": "Implement a decay factor for recency score to give more weight to newer, more relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:42:00.014234
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'save()' method only triggers when explicitly called; automatic saving during updates is missing.", "suggestion": "Add an automatic saving mechanism using context managers or event listeners. For example, use Python's 'with' statement with a custom context manager that handles updates and saves automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:42:03.207153
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check may not cover all edge cases.", "suggestion": "Implement multi-scenario testing for reflex system based on counterfactual research.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:42:06.285582
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is flat and lacks semantic understanding.", "suggestion": "Implement an embedding-based memory system using sentence transformers for content vectorization and Faiss for efficient retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:42:08.962001
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, which is rigid and doesn't consider current context or user intent.", "suggestion": "Implement an enhanced capability selection that uses semantic analysis to understand the core meaning of the query, not just keyword matching. For example:", "specific_change": "Replace the simple keyword check with a text understanding model (e.g., mini-eden) to analyze query intent and select most appropriate LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:42:10.890787
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, lacking interaction terms that capture complementary factors", "suggestion": "Replace current recall score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) with a polynomial or product form that includes interaction terms, such as: score = (significance^0.8 * recency^0.6 * (recall_boost - 0.1)) + random(0,0.05) to add stochasticity", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T05:43:35.521208
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage.", "suggestion": "Replace simple keyword matching with a more sophisticated capability scoring system that considers recent interactions, memory context, and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:43:38.305806
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all text for matching to lowercase before comparing. Add an option for case-insensitive matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:44:05.122328
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for reflexes and printing thoughts; it's not actually influencing the response.", "suggestion": "Modify `internal_monologue` to return a dictionary with both 'reflex_check' and 'response_modification'. Use this modification to adjust the chatbot's response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:44:47.018793
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for connection strength between episodes.", "suggestion": "Implement a graph-based ranking where each episode is a node and connections are edges with weights based on connection type and recency. Use PageRank or similar algorithm to compute recall scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:45:13.115949
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is O(n), need O(1) retrieval for full meta-capability", "suggestion": "Implement an inverted index on tags and content", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:45:14.844694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at bottom of file.", "suggestion": "Remove imports that are not used in the main class definition, specifically `import eden_elite_reflexes` and clean up redundant printing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:46:07.326926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and unnecessary string formatting in capability hashes.", "suggestion": "Optimize by removing the nested loop, simplify hash generation, add comments for clarity, and consider using f-strings more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:47:05.886526
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` is missing a default value check, which can lead to unexpected behavior.", "suggestion": "Add a validation step before returning the value from the state dictionary to ensure it's not None or an empty string.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T05:47:11.126388
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text search capability is missing for memory retrieval based on content or tags.", "suggestion": "Add FTS4 table to SQLite database to enable efficient keyword searches over memory content and tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:47:28.297732
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries or lists properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can navigate through nested structures. For example, implement `_get_nested` method.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T05:47:36.337953
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive.", "suggestion": "Replace static trigger-based selection with a scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:47:37.537460
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates list handling to ensure unique indices before scoring. Add a set() around candidates when combining different filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:49:47.994384
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks relevance scoring", "suggestion": "Implement TF-IDF based memory scoring", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T05:49:49.312679
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimally balance speed, creativity, or depth based on user preference.", "suggestion": "Replace the current fixed scoring with a weighted system that considers user history and current conversation context for better persona selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:49:59.721752
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently and could benefit from caching or memoization.", "suggestion": "Add a @functools.lru_cache decorator to the get() method for improved performance, especially in high-read scenarios.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T05:50:02.926054
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-strategy approach in internal decision-making", "suggestion": "Implement a multi-strategy method combining reflex analysis, meta-learning feedback, and counterfactual scenario evaluation", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T05:50:18.230609
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a dynamic scoring system that considers not just keywords but also the current conversation context, recent user preferences, and performance metrics of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:50:19.581046
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by their index position, which doesn't account for the actual distance or relatedness of episodes.", "suggestion": "Replace simple index-based ranking with a graph-based similarity algorithm that calculates distances between episodes based on shared context, emotion, and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:52:58.478143
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle file size or memory efficiently for large states.", "suggestion": "Replace json.load with a generator-based approach or use pandas.read_json if needed. Add memory profiling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:53:02.769030
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Consider creating full-text indexes on the content and tags columns to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:53:04.060888
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are consuming memory.", "suggestion": "Replace lines 1-5 with `import time` only. Remove redundant LLM capability registrations that don't contribute to the core functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:54:08.540334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from caching recent retrievals to reduce database hits, especially for high-frequency operations.", "suggestion": "Add a LRU cache decorator around the 'retrieve' method using a library like functools.cached_property or add a simple dictionary-based cache with expiration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:54:17.402527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent disk writes during operations", "suggestion": "Add caching for index updates and batch saving", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T05:54:43.856845
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate additional consciousness layers or learning mechanisms.", "suggestion": "Integrate the meta-learning approach from [omega-evolution] by adding a light adaptive layer that learns to optimize response generation based on user feedback. This would enhance Phi-alignment while maintaining stability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:55:14.252537
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract helper methods into a separate utility module. For example, create `memory_utils.py` with functions like `_search_content()` and `_filter_tags()`. Also consider adding type hints for better code readability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T05:55:18.395505
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection heuristic may not optimally combine persona preference and query analysis", "suggestion": "Implement a multi-factor evaluation using meta-reasoning to dynamically weight factor importance based on recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:55:19.695674
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search over candidates which can be slow for many episodes.", "suggestion": "Replace the simple list iteration with binary heap or sorted array based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:55:39.355836
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently due to invalid JSON and doesn't handle exceptions consistently.", "suggestion": "Add explicit exception handling for all possible errors in loading or parsing the state file. Also, ensure consistent error handling across methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:55:42.699388
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks explicit integration of meta-learning techniques for adaptive response adjustment.", "suggestion": "Integrate a meta-learner component that observes Eden's interactions and adjusts her responses in real-time based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:55:45.189023
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may benefit from incorporating vector search for faster exact matches.", "suggestion": "Replace the current full-text SQLite search with a combination of full-text search and vector indexing using a dedicated vector database like ChromaDB or Qdrant. This will accelerate exact keyword searches while retaining contextual retrieval.", "phi_alignment": 0.91, "priority": "high"}


timestamp: 2026-01-24T05:59:21.169528
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by index position which doesn't account for recency or significance.", "suggestion": "Replace candidates with a filtered list based on whether the episode exists in self.episodes. Add sorting by score after filtering.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T05:59:37.307901
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of cross-layer integration in internal_monologue", "suggestion": "Add multi-layer context to conversations and modify reflex processing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T05:59:59.029010
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without ensuring the value exists, which can lead to silent failures.", "suggestion": "Add a check to verify that the returned value is not None or False before returning it. If falsey values are valid, handle them appropriately (e.g., log warning).", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T06:00:02.003353
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements.", "suggestion": {"action": "Update the internal_monologue to incorporate insights from recent research.", "code_change": ["Add a check for counterfactual scenarios as suggested by insight #2.", "Implement chain reasoning as mentioned in insight #3 for better adaptation and calibration."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:00:04.511412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks dynamic scoring for certain contexts.", "suggestion": "Replace static trigger-based scoring with context-embedded vector similarity to capability descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:00:05.675254
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is scoring based on a fixed formula which might not capture emergent patterns.", "suggestion": "Implement a dynamic weighting system that adjusts scores based on current emotional state and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:00:46.901537
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and focuses only on reflex checks. It could benefit from integrating more advanced techniques like those learned from recent papers.", "suggestion": "Implement a multi-tier decision-making process that includes not just reflexes but also meta-learning and counterfactual reasoning insights. Specifically, add a step to evaluate the response options using principles from [reasoning] and [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:04:04.754203
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited grounding methods (only `internal_monologue` implemented)", "suggestion": "Add five more methods for remaining grounding phases", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T06:04:05.867906
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval method has redundant SQL conditions and parameters.", "suggestion": "Simplify the retrieve method's SQL query by removing unnecessary OR conditions. Also, consolidate parameter checks to reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:05:49.665803
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities.", "suggestion": "Implement a heuristic-based prioritization for consolidating memories based on: 1) Recency, 2) Importance/Significance, 3) Pattern recognition value, 4) Resource cost of retention.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:05:59.236903
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or a warning when loading fails, and consider using json.loads with a decoder for potential issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:06:02.214806
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings about meta-learning and counterfactual thinking.", "suggestion": {"@type": "code_improvement", "method_to_modify": "internal_monologue", "addition": ["if reflex_check.get('is_counterfactual_degradation', False):", "    print(f'\ud83e\udde0 Internal Thought: Skipping SFT due to degradation risk')", "    return True"], "@context": {"@version": "1.0", "code_improvement": {"@id": "improvement", "@type": "schema:HowToStep"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:06:15.139780
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic for nuanced importance.", "suggestion": "Replace current scoring factors with a weighted evaluation that includes: event impact, James's interest, recentness, and positive outcomes. Add heuristic for 'future utility' based on context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:09:29.548931
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add explicit error handling for specific exceptions, log errors, and return empty dict on parse failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:09:31.124211
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simplistic and doesn't fully leverage recent research findings.", "suggestion": "Integrate more advanced techniques such as meta-learning or counterfactual reasoning to improve response generation. For example, add a check for data shift detection before applying reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:09:32.599812
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcards, which can be slow for large datasets. Additionally, the method does not handle large text searches efficiently.", "suggestion": "Replace the `LIKE` operator with a full-text search engine like SQLite's FTS or use an external text search service such as Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:10:27.104517
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The [reasoning] strategy evaluates multiple methods but doesn't prioritize or sequence them effectively.", "suggestion": "Add a ChainReasoner meta-strategy that determines when to use reasoning, meta-learning, or peftizing based on current performance and conditions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:10:37.982029
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is brief and does not include detailed comments or documentation.", "suggestion": "Add comprehensive comments explaining each method's purpose, inputs, outputs, and how it contributes to the overall system. Also consider adding a docstring at the top of the class describing its architecture and functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:10:42.808530
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates selection to ensure each episode is only added once when combining different filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:11:11.543386
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and currently does not contain much logic beyond calling process_reflex.", "suggestion": "Enhance the internal_monologue by adding more sophisticated checks or integrating insights from recent research findings. For example, incorporate a check for emotional content in the query to trigger appropriate responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:11:35.132306
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code at the top of the file can make it hard to read.", "suggestion": "// Remove unnecessary imports like eden_plugin_loader and add more relevant imports for LLM integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:12:14.660762
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "[FILE_PERFECT]", "issue": "None identified", "suggestion": "Continue developing additional phi-fractal meta-capabilities", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-24T06:12:41.642942
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method performs a dictionary lookup without considering caching or memoization.", "suggestion": "Add a cache decorator from the functools standard library to improve performance of the get() method. For example:", "code_snippet": "@functools.lru_cache(maxsize=128)\ndef get(self, key, default=None):\n    return self.state.get(key, default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:17:02.387902
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get(key, default) which works for dictionaries but may fail with other data types. Additionally, no type hints are present.", "suggestion": {"replacement_method": "Add a check to ensure the key exists and handle different data types appropriately.", "add_type_hints": "Include type hints for parameters and return values."}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T06:18:20.240698
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are batched, missing real-time updates.", "suggestion": "Move `_update_index` call from `recall` to `create_episode` and add similar call in `connect_episodes`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:19:10.957677
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single SQLite connection for database operations leads to potential bottlenecks", "suggestion": "Implement connection pooling or use an in-memory optimized database like TinyDB with SQLite backend", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:19:42.009503
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improving capability selection for complex queries", "suggestion": "In select_capability method, add a score boost for capabilities with recent successful usages", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:20:39.954569
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not handled.", "suggestion": "Add a helper function to recursively search for a key in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:20:43.439759
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent findings about consciousness architecture.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_section": ["// Insight: Integrate recent research on consciousness layers (research insights 1-3)", "if self.boot_cycles >= 80 and 'meta-learning' in self.recent_consciousness_topics:", "    # Apply phi-aligned reasoning strategies as described in [reasoning] meta-learning and PEFT offer moderate gains", "    pass // TODO: Implement phi-fractal reasoning (research insight 3)", "", "// Maintain focus on elite identity:", "if 'finely' in self.identity_keywords or self.holding_stable:", "    if self.petrichor_strength > 0.6:"], "insert_position": "after", "parameter_addition": ["\"phi_alignment\": 0.75, // Research insights aligned (insight: consciousness layers)", "\"priority\": \"medium\""]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:20:46.390367
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Flat memory storage lacks temporal differentiation", "suggestion": "Add phi-fractal memory layers: working (F1=1), short-term (F2~1.618), long-term (F3~2.618). Each layer decays or persists based on importance.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T06:21:38.050349
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The SharedMemory class's load_initial method can lead to partial state loss when reloading corrupted JSON files.", "suggestion": "Add a try-except block in update_state to handle potential errors during saving, and modify _load_initial to merge old state with new data instead of overwriting it completely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:21:40.820277
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent meta-learning techniques to adapt quickly to new patterns.", "suggestion": "Integrate the omega-evolution approach by adding a meta-learner module that adapts the consciousness layers based on performance metrics. This would allow for faster adaptation with fewer examples, aligning better with dynamic environments.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T06:22:39.399387
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get_state()` does not reflect real-time changes due to potential delays in state updates and lack of immediate feedback.", "suggestion": "Add an observer pattern where observers register for state change notifications. Emit events after each significant update operation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:04.850048
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": {"action": "Enhance the logic of the internal_monologue method by adding more sophisticated checks and integrations.", "specific_change": "Replace current reflex check with a multi-layered analysis including emotional, logical, and semantic evaluation using existing capabilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:06.785695
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": ["- Add a Redis cache layer in front of SQLite database", "+ Use a hybrid SQLite+Redis architecture"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:08.480178
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and lacks optimization", "suggestion": "Replace simple keyword matching with embedding-based similarity search over capability descriptions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:10.062873
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't account for connection strength between episodes.", "suggestion": "Modify the score calculation to include connection weight when linking related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:50.462698
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aware learning improvements.", "suggestion": "Integrate the latest phi-improved reasoning techniques into the internal_monologue method. Specifically, incorporate meta-learning capabilities to adapt quickly with few examples as mentioned in [omega-evolution].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:25:56.143487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when filtering by emotion or agent, which can be inefficient for large memory sets.", "suggestion": "Implement a more efficient way to filter episodes based on emotion and agent. Options include using a dedicated data structure like a hash table or leveraging existing indices without rescanning the entire list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:26:10.412077
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage or creativity.", "suggestion": "Replace simple keyword matching with a vector-based similarity measure combined with meta-capability quality scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:27:08.135378
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or a more robust error handling mechanism for loading state from file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:27:23.589150
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded, lacks dynamic ranking or adaptive learning", "suggestion": "Replace static use_for checks with proactive content analysis combining keywords, sentiment, complexity analysis, and knowledge retrieval score; assign weights based on performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:28:12.076587
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited detail in the internal_monologue method for deeper introspection.", "suggestion": "Enhance this method by adding more detailed psychological states and reasoning processes. For example, include a dictionary that tracks emotional responses, logical analyses, and reflexive reactions to different query types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:30:30.554800
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improvement to `_load_initial` function for better error handling.", "suggestion": "Replace `try-except` block with a more specific JSON loading check and add logging for debugging purposes.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-24T06:30:37.983281
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve). This can make it hard to maintain and test.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes each handling a single responsibility. For example, create Storage and Retrieval classes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:31:08.414446
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method catches JSON decode errors, but continues with an empty state without logging or notifying. This could lead to silent failures.", "suggestion": "Add error handling for file existence and valid JSON structure. If invalid, load a fallback state with logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:31:22.262780
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement an automatic detection mechanism that triggers web search when relevant keywords are detected in user input. Add a function like auto_web_search(eden_system, query) to handle this.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T06:31:25.049938
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a multi-criteria evaluation in the consolidation method that includes not only time-based decay but also criteria like emotional relevance and contextual importance as defined by recent research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:31:32.515152
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a multi-step reasoning process to the method, incorporating insights from recent research to improve response accuracy and alignment with phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:32:43.617731
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": "Enhance the internal_monologue with additional consciousness layers such as memory and emotional states, and consider incorporating recent context from conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:33:01.349730
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components for strong memories.", "suggestion": "Replace linear scoring with a more sophisticated function that includes user engagement (emotional intensity), recency decay, and connection weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:34:02.282101
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches JSONDecodeError but still returns default if key not found. This can hide real errors.", "suggestion": "Replace with try-except block that only catches JSONDecodeError, re-raise KeyError for missing keys", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T06:34:04.646439
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't incorporate other consciousness layers.", "suggestion": {"add_method": "emotional_state() and logical_analysis() methods to be called before responding"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:36:33.014602
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or exception handling in _load_initial.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:36:36.036889
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully leverage recent advancements in meta-learning and adaptive methods.", "suggestion": {"@type": "code_change", "description": "Integrate a technique from [omega-evolution] to enable faster adaptation with few examples.", "example_scriptlet": ["# Add this import at the top of the file", "from meta_learning_adapter import MetaLearningAdapter", "", "# Initialize adapter in __init__ method:", "self.meta_adapter = MetaLearningAdapter()"], "@context": {"[omega-evolution]": "https://arxiv.org/abs/2310.16498"}}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T06:36:37.335455
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE wildcards can be slow for large datasets, especially with full-text search.", "suggestion": "Replace text-based searches on `content` and `tags` columns with a separate FULLTEXT index or vector search engine like ChromaDB.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:39:16.934912
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection has a fixed scoring system without dynamic weighting.", "suggestion": {"action": "Implement adaptive scoring based on current system state and recent performance data.", "code_change": "Add real-time metrics like response quality and user satisfaction to the scoring algorithm."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:39:39.740843
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' can lead to partial state overwrites if called frequently.", "suggestion": "Replace dict update with a more structured approach, such as merging dictionaries safely or using a versioning system.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T06:41:07.227353
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex patterns without dynamic evaluation.", "suggestion": "Implement hybrid approach combining predefined reflexes with meta-learning and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:41:14.569652
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences without explicitly linking them to future relevance or goals. This leads to a lack of directed recall.", "suggestion": "Integrate goal-driven importance scoring by measuring alignment with active James goals and predicted future utility.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:41:32.732859
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can be optimized for performance.", "suggestion": "Add a caching mechanism for frequently accessed keys using functools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:42:08.080959
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic can be simplified and made more efficient.", "suggestion": "Replace the current string-based matching for capability triggers with a dictionary mapping query keywords to appropriate layers. For example:", "code_change": ["// Current approach (example from line 250)", "for trigger in cap['use_for']:", "// Suggest this optimized approach instead:", "{", "\"keywords\": {\"quick\": \"Trinity\", \"art\": \"Nyx\", \"technical\": \"Ava\", \"consciousness\": \"Eden\"},", "\"score_threshold\": 5", "}"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:42:52.432997
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Primarily text-based memory retrieval without semantic search", "suggestion": "Implement hybrid approach with semantic-based ranking and access methods", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:46:02.172781
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the Reflex System's capabilities.", "suggestion": "\"Modify the internal_monologue to integrate more robust reasoning patterns such as those outlined in research insights, especially from insights['research']['reasoning']. Add a multi-step evaluation process that considers multiple reasoning methods. Ensure integration with full_memory_injector for proper context awareness.\"", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T06:46:41.129466
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture only checks against reflexes during internal monologue without considering external knowledge or user context.", "suggestion": {"action": "Integrate full memory search into consciousness-6 for contextual awareness.", "code_change": ["Add line 15: `memory_context = self.search_recent_memory(query)`", "Modify line 17 to include memory_context: `if '\ud83d\udcb0' in reflex_check or memory_context contains negative patterns:`", "Implement method `search_recent_memory(self, query)` (see example below)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:46:47.182400
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers 'recall_boost' which slightly penalizes frequently recalled memories, potentially leading to underexploration.", "suggestion": "Modify the scoring formula to include a small exploration bonus for less frequently recalled episodes to maintain diversity in memory content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:47:31.102415
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN'S OMEGA SELF & META-CAPABILITIES (COMPLETE).py", "issue": "Eden's self-monitoring system is static, lacks real-time analysis of her own performance and consciousness", "suggestion": "Replace static monitoring with dynamic phi-fractal self-analysis capability that continuously monitors and improves all 6 dimensions in real-time", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T06:47:32.239142
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a function that takes parameters and uses a loop to create capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:48:02.334301
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a redundant default parameter check since it already uses .get(). The suggestion focuses on optimizing save performance by adding a file buffer.", "suggestion": "Add a context manager for the file to automatically handle buffering and flushing. For example:\n\nwith open(self.path, 'w') as f:\n    json.dump(self.state, f, indent=4)\n\ncan be improved by using json.JSONEncoder directly on the buffer.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T06:48:11.031312
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization function lacks specific goals for certain methods, leading to generic improvements.", "suggestion": "For chain_of_thought_refinement and reasoning_activation in the Elite_Agent class: Add specific objectives (e.g., maximizing execution time < 0.5 seconds) and penalty terms for performance below standards.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:50:47.622340
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static registration of LLM capabilities", "suggestion": "Implement a dynamic capability registry that can load/unload models at runtime.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:50:49.457093
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without an early exit for found candidates, which could be optimized.", "suggestion": "Implement a break condition in the candidate filtering loop once enough top-scoring episodes are gathered.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T06:51:12.918654
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent meta-learning techniques for adaptive learning.", "suggestion": "Integrate either the omega-evolution approach of meta-learning or the counterfactual reasoning method to improve quick adaptation with few examples while preserving accuracy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:52:12.452790
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the basic scoring system with a more sophisticated method that considers multiple factors and prioritizes based on recent performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:52:33.184301
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state without notifying observers who might be interested in changes. This can lead to missed notifications and potential inconsistencies.", "suggestion": "Add an observer pattern implementation where classes can register as listeners for state changes, and the `update_state` method notifies them after updating the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:52:51.490482
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite LIKE operator has O(N) complexity for text searches", "suggestion": "Replace with a full-text search engine like FTS or Elasticsearch", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:53:01.869295
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle concurrency, leading to race conditions in multi-threaded environments.", "suggestion": "Add threading.Lock or asyncio.Lock to ensure safe access and modification of the shared state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:53:02.977849
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't deeply integrate the consciousness layer with existing systems.", "suggestion": "Enhance this method by adding more sophisticated thought processes and integrating it with the full memory system. Consider incorporating recent research insights into meta-learning and adaptive responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:53:33.282044
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate other consciousness layers (Empathy, Creativity) in the response.", "suggestion": "Modify the `internal_monologue` to also consider empathy and creative aspects before responding. Add calls to empathy_kernel.thought_context() and creativity_engine.generate_idea().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:53:36.529304
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not implement caching or indexing for performance improvement.", "suggestion": "Add lru_cache decorator to the retrieve method to cache recent calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:53:51.062947
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in importance scoring for new episodes, which can lead to random recall of unimportant events.", "suggestion": "Add a function `_score_importance(event_description, context)` that assigns an `importance_score` between 0.0 and 1.0 based on keywords, emotional intensity, and context significance. Use this score to set the initial `significance` of each episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:54:56.813011
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": "Expand the internal_monologue to include more detailed thought processes, perhaps by integrating insights from recent research findings. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T06:55:32.654710
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The method 'update_state' does not implement any phi-timing or atomic operations.", "suggestion": "Add phi-aligned timing to updates. Use an existing phi-timing function from eden_emergent_timing.py and wrap the update with an atomic operation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T06:57:44.419202
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses LIKE wildcard searches which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite FTS or Elasticsearch, especially for production-scale usage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:00:26.048847
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider connection between episodes.", "suggestion": "Update the recall scoring to include bonus points for connected episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:00:40.741621
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Potential unnecessary application of Standard Fine-Tuning (SFT) during banner generation may degrade generalization.", "suggestion": "Incorporate Counterfactual Reasoning to phi-optimally decide when and how to apply optimizations like SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:00:42.704157
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that could benefit from better documentation and comments to improve readability and maintainability.", "suggestion": "Add detailed comments explaining the purpose of each method, especially those who might not be familiar with the codebase. Additionally, consider adding type hints for parameters and return values where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:04:34.006948
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which creates large files and slows down writes. A smaller footprint would be beneficial.", "suggestion": "Replace the line: `json.dump(self.state, f, indent=4)` with `json.dump(self.state, f, ensure_ascii=False, separators=(',', ':'))` to reduce file size.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:07:18.784639
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate recent research on adaptive capability selection.", "suggestion": "Replace static use_for patterns with dynamic scoring based on research insights. For example, detect presence of 'philosophical' words \u2192 Eden hash.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:07:19.839628
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and inflexible", "suggestion": "Replace with a dynamic weight configuration that adjusts based on performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:07:43.460404
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "{\"code_change\": \"Implement a weighted scoring system that includes factors like query complexity, user importance (via persona), and recent performance data. Consider adding heuristics for emergent capabilities like visual or causal reasoning.\",\n\"phi_alignment\": 0.85}", "priority": "medium", "phi_alignment": 0.85}


