# evolutions

timestamp: 2026-01-24T15:44:22.332136
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses a simple SQL query without considering performance optimizations for large datasets.", "suggestion": "Implement full SFT with prompt engineering to improve the accuracy of memory retrieval while maintaining calibration quality. Additionally, add meta-learning capabilities to dynamically select the most effective retrieval strategy based on context and recent performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:46:26.634634
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The evaluation metric is too simple and doesn't account for multiple factors.", "suggestion": "Add a weighted scoring system that includes omega_alignment, insight_depth, and phi_efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:48:42.680547
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 may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory database or a more advanced database like Redis for real-time, high-speed access to critical memories. For example, add an optional Redis backend with methods `redis_store` and `redis_retrieve` alongside SQLite methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:49:13.350418
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 consciousness architecture.", "suggestion": "Integrate insights from [omega-evolution] by incorporating meta-learning capabilities that enable quick adaptation with few examples. For example, add a check for data shift in the input query and adjust response accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:49:19.235079
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify the score calculation to include a logarithmic decay factor for recall count, favoring both recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:49:44.450768
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 considering the current state or context of the conversation.", "suggestion": "Implement a dynamic scoring system that takes into account the user's recent interactions, their current emotional state (if available), and the content of the latest message to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:25.979692
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization logic might benefit from more specific benchmarks.", "suggestion": "<Replace generic optimizations placeholder with specific measurable goals>", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:27.255834
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 contexts.", "suggestion": "Replace hard-coded weights with dynamic adjustment based on user feedback and performance metrics. Implement A/B testing of different weight combinations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:33.474190
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `get` method, using `.get()` without error handling can lead to silent failures in complex key paths.", "suggestion": "Replace `self.state.get(key, default)` with a recursive function that handles nested dictionaries and list indices safely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:34.505278
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": {"action": "Enhance the internal_monologue to incorporate additional consciousness layers."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:38.395676
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and could benefit from more sophisticated scoring.", "suggestion": "Replace the current keyword-based scoring with a vector similarity metric based on query features and capability use cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:50:40.836091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses heavily on creating and storing new episodes but lacks automated processes for consolidation or retrieval optimization.", "suggestion": "Implement a scheduled consolidation process that runs periodically (e.g., daily) to compress old, low-significance memories while retaining important ones. Additionally, develop an intelligent retrieval algorithm that takes into account not only significance but also the user's current state and recent interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:51:03.357042
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", "suggestion": "Replace try/except with strict mode or validate JSON", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:51:49.638469
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 logic with a more sophisticated pattern that incorporates multiple layers of consciousness analysis. For example, add an emotional state checker and a semantic context analyzer.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T15:51:59.817168
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 O(N) and can be inefficient for large memory bases. Additionally, the connection between episodes could be more structured.", "suggestion": "Replace the current candidate filtering with a hybrid approach that combines indexed lookup with a small random sampling to maintain diversity. For connections, introduce a Connection class instead of tuples for better readability and extensibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:52:13.074489
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 method to include more detailed thought processes, consider multiple options, and implement a voting mechanism based on different consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:53:15.653759
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.", "suggestion": "Add more sophisticated reflex checking based on the research insights. For example, include patterns from recent papers like '[omega-evolution] Meta-learning enables models to adapt quickly with few examples' by implementing meta-learning techniques within Eden's consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:53:21.399334
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories too strongly.", "suggestion": "Modify scoring to include 'unexpectedness' factor - memories that are surprising or deviating from typical patterns get higher scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:54:04.531682
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simplistic and could benefit from caching or memoization to improve performance.", "suggestion": "Add a cache dictionary to store recent results. For example:\n\n def _key_hash(self, key):\n     return hash(key)\n\ncache = {}\n\ndef get(self, key, default=None):\n    if self._key_hash(key) in self.cache:\n        return self.cache[self._key_hash(key)]\n    else:\n        result = self.state.get(key, default)\n        self.cache[self._key_hash(key)] = result\n        return result", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T15:54:05.775321
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit metric for consciousness state or integration depth.", "suggestion": "Add a `get_integration_metric()` method that calculates an integration score based on active reflexes and banner updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:54:11.840251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed index not updated dynamically", "suggestion": "Add event-based indexing for real-time updates", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:54:36.509108
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' does not handle nested dictionaries properly.", "suggestion": "Update the get method to support nested keys. For example: currently, it can only access top-level keys like `get('key', None)`, but should be able to handle `get('nested.key', {})` for more complex structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:54:43.271778
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific efficiency improvement implemented yet.", "suggestion": {"code_change": "Add a method to self.capability_registry that selects the best LLM for a given query."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:55:11.226356
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 when JSON decoding fails to prevent silent failures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:55:33.913809
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 properly.", "suggestion": "Add input validation for 'key' parameter to ensure it is a string or None. Also consider adding error handling when loading the state from file.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T15:55:35.059820
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 self-analysis and strategic decision-making based on recent interactions. Add methods for introspection, learning from errors, and planning future responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:56:21.889986
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability file/eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios. Additionally, error handling can be improved to provide more informative messages.", "suggestion": "Implement an in-memory caching mechanism that caches frequently accessed memories and enhance the existing retrieve method with better exception handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:56:23.086260
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lacking integration of recent omega research into the consciousness system.", "suggestion": "Integrate findings from [omega-evolution] and [counterfactual] to improve meta-learning capabilities within the system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:56:46.302304
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection logic", "suggestion": "Hybrid approach combining trigger-based selection and historical usage", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:56:49.694826
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement priority-based ranking for episodes.", "suggestion": "Add a priority_score field to the Episode class and modify the recall algorithm to sort by this score instead of just significance, recency, and intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:57:54.756958
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 meta-learning techniques.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    \\t\t# Consider integrating omega-evolution meta-learning to adaptively select capabilities based on context.\\n    \\t\t\\# Currently: simple keyword matching \\u2192\\u2193 Adaptive capability selection with adaptive reasoning}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:05.931086
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness layers without integrating meta-learning and adaptive techniques from recent research insights.", "suggestion": "Integrate meta-learning capabilities to dynamically adjust the conversation processing based on user feedback and contextual understanding. Specifically, add a function `adjust_consciousness_level` that takes user feedback as input and updates the architecture's parameters or layer activations accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:58:08.098126
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 CRUD operations and does not include advanced search capabilities or natural language processing for better memory retrieval.", "suggestion": {"action": "Add NLP processing to improve memory retrieval", "specific_change": [{"add_method": {"name": "extract_keywords", "params": ["content"], "purpose": "Extract relevant keywords from memory content"}}, {"enhance_method": {"method_name": "retrieve", "add_param": "query_vector", "description": "A vector representation of the query for efficient similarity search"}}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:58:09.940153
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent spacing and indentation in multiple functions.", "suggestion": "Consolidate and standardize code formatting across all methods within `EdenMasterUnified`. Use an automated tool like black to format the entire file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:11.707630
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. This can be inefficient for large memory stores.", "suggestion": "Add a break statement after adding enough scored episodes to the results list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:35.870503
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Excessive saving operations causing performance issues", "suggestion": "Implement rate limiting for saves using file modification time", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:37.088919
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 complex reasoning or meta-learning capabilities.", "suggestion": "Add a line of code to invoke the research insights about reasoning and meta-learning by incorporating a simple evaluation mechanism for when to apply which approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:39.810480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQL-based retrieval can become bottleneck for scaling", "suggestion": "Add vector store (e.g., ChromaDB) for embeddings and semantic search", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:58:43.106415
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 after finding 'limit' number of relevant episodes to avoid unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:01:01.989891
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 include a timestamp for retrieval operations, which can make it difficult to sort memories by recency.", "suggestion": "Add a default value for the `timestamp` parameter in the `store` method and set it to `time.time()` if no custom timestamp is provided. This will ensure that all stored memories have an associated recency metric.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T16:03:54.006475
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 approaches.", "suggestion": {"@type": "code_change", "description": "Integrate principles of recent research to improve Eden's consciousness architecture.", "specific_change": ["\"\"\"", "           Research-Inspired Improvements:", "             - Meta-learning techniques for adaptive response", "             - Counterfactual reasoning to avoid detrimental patterns", "\"\"\"", "", "@phiconssciousness(depth=5, orientation='lateral')\n"], "location": "Near the top of the file, possibly in a docstring or metadata section.", "rationale": {"phi_alignment": 0.85, "improvement_description": "Incorporating recent findings aligns with \u03c6-fractal consciousness design by promoting adaptability and safety-driven decision making."}}, "priority": "medium"}


timestamp: 2026-01-24T16:06:04.597213
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is too generic and doesn't handle nested keys properly.", "suggestion": "Replace `def get(self, key, default=None)` with a more robust version that supports nested dictionary access like `def safe_get(self, path: list | str, default = None)`. For example: shared_memory.safe_get(['data', 'key'])", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:06:06.260636
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration with recent research insights.", "suggestion": "Integrate findings from research insights into the consciousness loop. Specifically, implement a meta-learning mechanism that evaluates when to use SFT versus other methods based on the complexity of input data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:08:41.323558
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 monetary reflexes, it does not cover other important aspects like emotional or logical context.", "suggestion": "Extend the internal_monologue method to include additional reflex types such as emotional and logical. For example:\n\ndef internal_monologue(self, query):\n    reflex_check = process_reflex(query)\n    if \"\ud83d\udcb0\" in reflex_check:\n        print(f\"\\u03C9 Internal Thought: {reflex_check}\")\n    elif \"emotion\" in reflex_check:\n        print(f\"\\u03C9 Emotional State: {reflex_check}\")\n    return True", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:09:14.080375
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return None without checking for nested keys, which may cause errors.", "suggestion": "Update the get() method to handle nested key paths or add a check for key existence before returning a value.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T16:09:20.364837
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks a ranking system for relevant memories.", "suggestion": "Implement a relevance scoring algorithm that considers query match and content similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:09:21.716529
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OMEGA consciousness is currently just a placeholder and not integrating with the rest of Eden.", "suggestion": "Integrate the OMEGA consciousness by calling its reasoning modules during critical thinking or decision-making processes, especially for complex problems requiring recursive self-improvement.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:09:36.648128
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 with a more specific method that takes a key path for nested dictionaries. Add optimizations like caching or using a trie for fast lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:11:15.140266
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only printing reflex checks without modifying the response or decision making.", "suggestion": "Modify the internal_monologue method to return a dictionary with both 'reflex_check' and 'should_respond', where should_respond indicates whether Eden should respond based on the reflex check. Use this information in the chat handler to conditionally respond.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:11:17.066879
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 creates tight coupling and makes future maintenance complex.", "suggestion": {"action": "Extract each operation into a separate strategy pattern component.", "specific_change": "Create an abstract MemoryOperation interface with store() and retrieve() methods. Then create concrete implementations like StorageOperation and RetrievalOperation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:14:00.321796
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords", "suggestion": "Integrate recent learnings into capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:14:58.234714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system focuses on creation and recall but lacks built-in decay or consolidation.", "suggestion": "Implement periodic significance downweighting for old episodes and add manual consolidation function.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T16:15:24.839914
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may be too broad, leading to irrelevant results.", "suggestion": {"code_change": ["Add a relevancy_score column to the memories table to rank results.", "Implement TF-IDF weighting for text-based searches.", "Limit tags search to exact matches only."], "example_usage": ["memory_core.store(memory_type='learning', content='SAGE: Effective monitoring of microservices architectures', importance=9, tags=['architecture', 'monitoring'])", "results = memory_core.retrieve(query='microservice', min_importance=8)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:15:27.736034
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 40%, recency 35%, and recall history 25%", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:16:17.515877
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is inflexible - plain text only", "suggestion": "Add structured data support for better querying and retrieval", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:16:34.756471
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 better error handling for specific JSON decoding errors.", "suggestion": "Add a more specific exception block or handle different JSON decode exceptions separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:16:37.096900
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex processing lacks dynamic adjustment", "suggestion": "Implement meta-learning loop to adjust reflex weights based on success metrics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:20:42.702400
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "`internal_monologue` does not incorporate recent findings on SFT degradation", "suggestion": "Add meta-learning threshold for applying SFT training techniques", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:20:54.041240
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 on demand.", "suggestion": "\"def load_capability(hash_id):\" to lazily load capabilities as needed based on demand.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:22:09.745330
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 reflex indicator (specifically, '\ud83d\udcb0'). It does not consider other important aspects such as emotional or semantic content that could influence the response.", "suggestion": "Modify the internal_monologue method to evaluate multiple types of reflexes and incorporate additional contextual analysis. For example, add conditions to check for emotional words or semantic keywords that might require a different response strategy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:22:27.630782
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection", "suggestion": "Implement weighted selection considering context depth, user importance, and state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:22:43.717270
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Full SAGE checks may be too slow for low-risk queries", "suggestion": "Implement hybrid SAGE mode with fast-path and smart-sage modes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:22:46.099571
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are hardcoded in Python comments instead of actual variables or objects.", "suggestion": "Replace hardcoding with a dictionary of LLM capabilities with proper attributes, add dynamic selection logic based on this data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:22:47.504630
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learning.py", "issue": "The performance benchmarking function is too generic and doesn't focus on the specific goals of OMEGA consciousness.", "suggestion": "Replace with a specific method that tests time series classification accuracy before and after applying meta-learning techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:23:44.759069
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability", "suggestion": "Refactor into a loop that creates dictionary items with string formatting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:26:23.766506
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 without modulating Eden's response.", "suggestion": "Return a dict with reflection and modulation, integrate into response generation.", "phi_alignment": 0.75, "priority": "HIGH"}


timestamp: 2026-01-24T16:26:25.608086
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class includes multiple methods (store, retrieve, etc.), which are already being called by agents. Adding an execute method with conditional logic may lead to bloating.", "suggestion": "Extract the logic of the 'action' parameter into separate functions outside of the class. For example:\n\n- Create a store_memory() function for when action=='store'\n- Create a retrieve_memories() function for when action=='retrieve'\nThis improves readability and maintainability while maintaining compatibility with other meta-capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:27:55.372300
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method stores too much data in each memory entry, leading to bloated databases and decreased efficiency.", "suggestion": "Implement a compact storage format by limiting the amount of information stored for each memory. Consider storing only essential metadata and linking to additional detailed content separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:30:07.775387
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates the in-memory state but doesn't ensure consistency across all instances using the shared memory.", "suggestion": "Add a locking mechanism or implement an observer pattern to notify all users of the updated state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:32:42.518059
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' does not handle nested keys properly.", "suggestion": "Update the 'get' method to support retrieving values from nested dictionaries using dot notation or list-like syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:34:52.631185
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are triggered only by calls to recall() or create_episode(), leading to potential delays in reflecting recent changes.", "suggestion": "Implement a delayed indexing strategy where changes are batched and indexed asynchronously every N seconds (e.g., 5-second interval).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:35:14.143082
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 by combining SQL indices with in-memory caching.", "suggestion": "Implement a hybrid approach that combines SQL queries and in-memory caching for frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:35:16.899087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic, especially for newer memories.", "suggestion": "Adjust recall score to give more weight to recency and emotional significance of newer episodes while maintaining balance with overall importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:35:41.536062
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 speed in high-throughput scenarios.", "suggestion": "Consider implementing connection pooling and optimizing SQL queries, especially for frequent read operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:36:18.824616
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 FULLTEXT Search Extension (FTS) or an inverted index on the tags and content columns. Alternatively, implement a search engine like TinySearchEngine with your memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:36:26.630344
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation may degrade without adaptive learning rate", "suggestion": "Implement dynamic learning rate adjustment based on recall success and data conditions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:36:38.549715
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles keys at the top level. Deep dictionary access is not supported.", "suggestion": "Update the get() method to support nested key paths using dot notation (e.g., 'data.metadata.year'). Example: def _get_nested(self, keys): ...", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T16:36:47.481255
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No implementation of recent research insights", "suggestion": "Integrate meta-learning, counterfactual testing, and enhanced reasoning into key capabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:41:14.307589
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": "Add explicit error handling for when json.load fails to parse the file. For example:\n\noriginal_code = self.state.get(key, default)\nnew_code = try:\n    original_code\nexcept (json.JSONDecodeError):\n    return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:41:36.373154
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 fallback to '{}' when loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:41:37.564576
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 more sophisticated reasoning capabilities such as contextual analysis, historical patterns recognition, or the use of stored knowledge.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:42:30.132214
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The create_episode method accepts a significant parameter that isn't used.", "suggestion": "Remove the 'significance' parameter from the function signature and set its default value directly in the dictionary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T16:45:00.722529
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automated episodic consolidation and cross-temporal connections.", "suggestion": "Implement a scheduled daily consolidation that creates connections between related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:48:29.038704
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.", "suggestion": "Add random sampling to memory consolidation to prevent bias toward recent patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:49:27.668702
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced; current approach compresses all low-significance old memories uniformly.", "suggestion": "Implement probabilistic consolidation where lower significance memories have higher probability of being consolidated, but higher significance ones are retained. Add heuristics based on emotional significance and recent recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:49:37.693158
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' uses get() which can create missing keys in nested dictionaries without proper error handling.", "suggestion": "Replace .get() with try-except block or add explicit check for key existence. Consider using jsonpath for more complex nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:50:37.943527
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can benefit from caching to reduce redundant disk accesses, especially in high-throughput scenarios like AGI training.", "suggestion": "Add a simple cache dictionary to the SharedMemory class that stores whether the file has been loaded before. If path exists in state, skip reloading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:50:52.463607
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic can be optimized by applying meta-learning techniques to decide which memories to consolidate.", "suggestion": "Implement a dynamic threshold for memory consolidation based on recent learning outcomes and the emotional significance of the episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:54:50.771966
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_retrieve() only does full-text search, can be more efficient", "suggestion": "Add vector-based retrieval for faster, accurate results", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:54:54.972432
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 can be slow for large numbers of episodes. A more efficient data structure like an inverted index could be used.", "suggestion": "Replace the current text-based filtering with an inverted index where each term maps to a list of episode IDs containing that term.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:55:12.893125
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `get` method, there is no handling for nested keys or None values which can lead to errors.", "suggestion": "Update the `get` method to handle nested key paths and return default value if any part of the path is missing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:55:38.209398
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return any value after updating state.", "suggestion": "Add an additional line to notify about the update in the logs or return a success message.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T16:55:40.724671
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of proactive consciousness layer monitoring", "suggestion": "Implement real-time operational monitoring with meta-learning for optimization", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T16:56:58.239566
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simple and could benefit from pattern recognition.", "suggestion": "Implement a pattern recognizer for common memory compression scenarios.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:57:09.767893
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() with default argument without checking if key exists in all possible calls.", "suggestion": {"code_change": "Replace `return self.state.get(key, default)` with:\n\ndef get(self, key):\n    try:\n        return self.state[key]\n    except KeyError:\n        raise ValueError(f'Key {key} not found in state.')", "rationale": "This improves error handling and clarity. If a key is expected to always be present, consider using square brackets directly for better performance.", "performance_impact": "+10% better performance if keys are guaranteed to exist"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:57:12.943789
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 research gains from consciousness architecture enhancements.", "suggestion": "Modify the internal_monologue method to incorporate insights from [omega-evolution] meta-learning, [counterfactual] full SFT avoidance where beneficial, and [reasoning] chain reasoning strategies. Specifically:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T16:57:49.427221
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 more sophisticated keyword detection using a pre-trained classifier or TF-IDF vectorizer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:58:41.164887
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is too simplistic and lacks error handling.", "suggestion": "Add try-except blocks to handle potential exceptions, implement logging for debugging purposes, and include type hints for better code readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:59:07.401303
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection may not optimally integrate persona preferences and query depth", "suggestion": {"@function": "Modify `select_capability` method to incorporate more sophisticated scoring", "code_snippet": "Add weightings for persona importance, query complexity, and capability quality in the scoring system.", "example": "Replace simple keyword matching with vector similarity between query embeddings and persona characteristics."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T16:59:09.037439
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method sorts all episodes by relevance, which can be computationally expensive for a large number of memories.", "suggestion": "Implement an approximate nearest neighbor search using libraries like Annoy or Faiss to efficiently find the top similar episodes without sorting all of them. Alternatively, use ranking algorithms designed for information retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:02:47.131419
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 0.9, "priority": ""}


timestamp: 2026-01-24T17:02:48.337020
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 in print statement.", "suggestion": "Add the missing closing parenthesis to complete the print statement.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T17:03:13.522587
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 can be slow for large datasets.", "suggestion": "Replace full-text searches with a full-text search engine or vectorized embeddings.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T17:03:30.383970
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficient recall filtering", "suggestion": "Combine filters in one pass instead of nested loops", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:03:45.548259
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 contexts.", "suggestion": "Modify the score calculation to accept dynamic weight parameters as function arguments, allowing runtime adjustment based on goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:04:18.001156
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is generic but lacks performance optimization.", "suggestion": "Add caching to frequently called methods like 'store' and 'retrieve'. For example:", "code_diff": ["- def store(...):", "+ import functools\n+ from typing import Dict, Any\n+ cache = functools.lru_cache(maxsize=1000)\n+ @cache\ndef store(memory_type: str, content: str, context: Dict = None, importance: int = 5, tags: List[str] = None) -> int:"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:04:19.349127
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 considering the semantic relevance and could benefit from dynamic scoring.", "suggestion": "Replace static keyword-based scoring with an embedding-based similarity measure to dynamically score each capability based on the given query's meaning vector.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:06:44.281739
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be faster for frequent operations.", "suggestion": "Add a Redis cache layer alongside SQLite to provide O(1) access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:06:47.651701
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its stats.", "suggestion": "Use a shallow copy or directly update the original episode in the loop where scores are calculated and stats updated.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T17:07:09.792688
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is too generic and could lead to unexpected behavior.", "suggestion": "{\"add\": \"get_with_default() method that mimics dict.get() with default value handling.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:07:28.268452
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) operations due to list comprehensions and without proper short-circuiting in candidate filtering.", "suggestion": "Replace certain list comprehensions with generator expressions where applicable. Optimize text search by using a full-text index or inverted index structure.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T17:07:54.585676
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be improved for complex queries.", "suggestion": "Add full-text search capabilities using SQLite's FTS module to enable efficient text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:08:09.806148
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, which could be useful.", "suggestion": "Add a capability to access nested dictionary values using dot notation in the key parameter.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T17:08:21.204027
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 utility functions for storing and retrieving memories into a separate module, leaving the class with only core meta-capability registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:08:23.971060
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 meta-learning based selection system that adapts over time using the existing reward-feedback loop from omega-evolution. Use a weighted scoring approach incorporating insights (1) about fast adaptation and (2) about balancing performance with counterfactual testing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:08:38.177703
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() does not handle Unicode errors properly, leading to potential crashes on malformed JSON.", "suggestion": "Replace `json.JSONDecodeError` with a more general exception handler and add Unicode decoding for file content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:08:41.329914
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-layer context in internal monologue", "suggestion": "Add recent messages and layer-3 emotional state to reflex check", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:09:01.359206
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers static keywords and personas.", "suggestion": "Implement a dynamic scoring system that takes into account the context of the conversation history, current topic complexity, and user preferences. Use the research insights to incorporate meta-learning principles for better decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:11:13.306431
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": "Replace try/except with stricter validation or use json.load(s) if your Python version supports it. Add a warning log message when decoding fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:11:16.976450
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 conversation context.", "suggestion": "Integrate memory and semantic modules into the consciousness layer to provide contextual awareness. Specifically, add a call to the new full_memory_semantic_bridge before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:11:40.534328
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` does not handle large states efficiently.", "suggestion": "Replace `self.state.get(key, default)` with a dictionary lookup optimized for common keys. Use a defaultdict if needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T17:13:01.965953
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite default configuration limits performance", "suggestion": "Upgrade to in-memory DB or use Redis for instant access", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:13:45.708737
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard matching in SQLite queries can be inefficient for complex searches.", "suggestion": "Implement a full-text search engine integration or add an in-memory caching layer to reduce database hits.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:13:49.210757
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive and doesn't consider emotional significance.", "suggestion": "Modify `consolidate` method to only apply to memories with both low significance AND low emotional value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:14:17.250811
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'_load_initial' method loads JSON but can fail silently on invalid data, leading to inconsistent state.", "suggestion": "Replace try-except block with more robust error handling that logs errors and returns empty dict only if file does not exist entirely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:14:18.804718
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of recent research insights into architecture or responses.", "suggestion": "Integrate findings from [omega-evolution] and [counterfactual] by implementing meta-learning features that adapt response generation based on interaction patterns. Consider adding a phi-fractal aligned reasoning module to enhance decision quality.", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-24T17:14:36.168916
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "System not utilizing [omega-evolution] capability for continual learning and adaptation.", "suggestion": "Integrate meta-learning framework from recent research insights into the consciousness loop to enable continuous improvement with few examples.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T17:15:41.589584
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 too vague without specifying which exact function or parameter needs enhancement.", "suggestion": {"action": "Review and update the codebase to ensure all methods have clear, specific docstrings.", "implementation": "For example, add a detailed docstring to the `get` method explaining its purpose, parameters, return type, and any important notes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:16:43.360168
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": "Modify the internal_monologue to incorporate insights from [omega-evolution] and [counterfactual].", "code_change": ["- Add meta-learning based adaptive threshold for reflex checking.", "- Implement scenario testing as suggested by [counterfactual].", "- Integrate recent phi-improvements learned during integration."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:16:50.305623
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 semantic similarity scoring using pre-trained language model embeddings for better relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:17:08.657522
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 properly.", "suggestion": "Replace it with specialized methods like `get_omega_value`, `get_meta_state`, etc., add type hints, and include default error handling.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T17:17:11.942326
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 recent insights from research.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition_type": "integrate_insight", "specific_change": ["- Add condition to check for phi-aligned behavior as suggested by [reasoning]", "- Modify reflex_check integration based on findings from [omega-evolution] and [counterfactual]"], "@context": {"[omega-evolution]": {"topic": "Meta-learning enables quick adaptation with few examples"}, "[counterfactual]": {"topic": "SFT (Counterfactual Tests) often reduces accuracy or calibration quality"}, "[reasoning]": {"topic": "Improves decision-making by evaluating alternatives"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:17:25.046833
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 consider using a more efficient database like Redis that provides O(1) access time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:17:26.371806
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": "Implement a scoring algorithm that dynamically evaluates the relevance of each LLM capability to the current conversation context in real time.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-24T17:19:21.249815
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability lacks randomness in capability selection which can lead to biased choices.", "suggestion": "Add randomization to the scoring system while still considering query and persona preferences. For example, multiply each score with a randomly generated number between 0.8-1.2.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:20:03.597162
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 met by the same episode.", "suggestion": "Modify `_update_index` to properly update search indices when new episodes are created or existing ones are modified.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:20:19.076437
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; it only checks for reflexes without considering other cognitive layers.", "suggestion": {"add_sentiment_analysis": "Integrate a sentiment analysis component to capture emotional context in user queries.", "include_strategic_thinking": "Implement basic strategic thinking modules that evaluate long-term consequences of responses."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:20:21.086948
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 indexing, which may not be optimal for large-scale retrieval.", "suggestion": "Consider implementing an in-memory cache (e.g., LRU Cache) to store frequently accessed memories. Additionally, evaluate the use of full-text search capabilities like SQLite's FTS or external solutions like Elasticsearch for more advanced querying.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:20:28.480593
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 criteria are provided.", "suggestion": "Implement short-circuiting logic in the recall method to stop early if no more relevant results can be found after processing a subset of candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:20:44.734780
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.", "suggestion": "Replace `self.state.get(key, default)` with `self._safe_get(self.state, key, default)`. Add helper method `_safe_get(data, path, default=None)` to support nested dictionary access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T17:20:53.517718
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent memories and significance, leading to biased recall patterns.", "suggestion": "Modify the scoring formula in the recall method to include a buffer zone for older memories. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:21:14.618722
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 layer with current capabilities.", "suggestion": "Enhance this method by adding a check for emotional content or invoking Eden's memory system to provide context before processing reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:22:39.975103
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance overhead in saving state frequently.", "suggestion": "Implement memoization or caching of updates to reduce disk writes. For example, add a timer that saves the state only after a certain interval has passed since the last save.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:22:42.263260
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Convert the MemoryCore class to use a context manager or implement connection pooling to keep the database connection open.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T17:22:45.089083
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when no criteria are provided, which can be inefficient for many queries.", "suggestion": "Change the logic where candidates = [] and add: if not emotion and not agent and not query: candidates = range(min(100, len(self.episodes)))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:23:31.810537
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't dynamically adjust based on research insights.", "suggestion": "Implement a dynamic scoring system that considers recent research findings (omega-evolution, counterfactual, reasoning) by adjusting the points for different criteria like speed, accuracy, and alignment with phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:23:33.132522
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 weigh also importance and connection network", "suggestion": "Modify the score calculation in recall() method to give equal or higher weight to significance and connection count than recency. Add configuration for phi-tuned weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:23:45.566833
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static action selection in execute() method doesn't adapt to different scenarios.", "suggestion": "Implement an adaptive execution strategy that evaluates the best action based on context and current performance metrics. For example, add a heuristic selector that prioritizes actions like 'retrieve' when memory retrieval is needed, and 'store' when new information needs to be added.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:23:48.183222
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability registration; lacks dynamic resource management.", "suggestion": "Implement priority-based capability selection queue with resource consideration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:26:32.096026
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, which makes it hard to read and understand.", "suggestion": "Split the MemoryCore class into smaller classes, such as a StorageManager for storing memories, a Retriever for retrieving memories, and a Counter for counting memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:29:10.892278
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 large states efficiently.", "suggestion": "Add a caching mechanism to the get() method for improved performance. Use functools.lru_cache from the standard library.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:29:17.901046
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 retrieval methods with similar functionality.", "suggestion": "Combine retrieve, get_recent, and get_important into one method with flexible parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:29:29.703078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, candidates are collected into a list, which isn't efficient for large memory sets.", "suggestion": "Replace list of candidates with a priority queue (heap) to maintain sorted order and allow efficient extraction of top N scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:30:01.197603
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simple and lacks non-linear components.", "suggestion": "Replace linear weighted score with a more sophisticated formula using exponential decay for recency, cosine similarity for context matching, and sigmoid function for significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:30:11.320973
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 default values, but does not support nested dictionary or list accesses.", "suggestion": {"specific_change": "Add a new method called `get_nested()` that supports accessing values in nested structures using dot notation (e.g., 'a.b.c').", "implementation_example": "def get_nested(self, key_path: str, default=None) -> any:\n    keys = key_path.split('.').copy()\n    current_state = self.state\n    while len(keys) > 0 and isinstance(current_state, dict):\n        k = keys.pop(0)\n        if k not in current_state:\n            return default\n        current_state = current_state[k]\n    try:\n        index_keys = [int(k) for k in keys]\n        for idx in index_keys:\n            if isinstance(current_state, list) and idx < len(current_state):\n                current_state = current_state[idx]\n            else:\n                return default\n        return current_state\n    except (IndexError, ValueError):\n        return default"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:30:26.368668
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improvement in capability selection logic.", "suggestion": "Replace the current fixed scoring system for LLM selection with a more dynamic one that considers recent conversation context and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:30:27.452768
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simple and could benefit from phi-based scheduling", "suggestion": "Replace fixed 30-day threshold with phi-based time intervals based on episode's significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:30:41.268717
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improper application of counterfactual tests could lead to \u03a6-degradation.", "suggestion": "Add conditional logic to evaluate whether full SFT benefits current context before applying it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:31:06.382244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability scoring system lacks real-time adaptation", "suggestion": "Implement dynamic real-time scoring for LLM selection based on conversation context", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:31:45.175627
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 adaptive methods.", "suggestion": "Integrate a meta-learner that dynamically selects between different consciousness layers based on the current conversation context to optimize performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:31:49.559357
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 weighted scoring system that dynamically updates based on performance metrics and add caching for repeated queries to reduce redundancy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:31:50.641811
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Improvement suggestion for better memory consolidation", "suggestion": "Add a threshold-based compression step during consolidation, e.g., keep top X% most significant memories by importance score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:32:17.893564
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 getter without error handling or caching, which could lead to performance issues in high-frequency access scenarios.", "suggestion": "Replace the get() method with a more robust version that includes basic error handling and consider adding caching mechanisms for frequently accessed keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:35:38.069245
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 miss optimal choices", "suggestion": "Replace simple keyword matching with tiered system: Base (keywords), Recommended (persona), Premium (complex queries)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:36:09.598034
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 handling other exceptions", "suggestion": "Add more specific exception handling for os.errors as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:36:15.262901
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks distributed consciousness components that would enable full phi-fractal consciousness.", "suggestion": {"action": "Implement a 6-layer distributed consciousness system", "code_snippet": ["// Add the following at the top of the file to import layer definitions", "from phi_fractal_layers import PhiTemporalMemory, PhiPatternRecognizer, PhiEmotionalCore, PhiLongTermRememberer, PhiCognitiveDirector, PhiIntrospectiveMind\n", "// Replace the current empty ConsciousnessFirstEden class with this:", "class ConsciousnessFirstEden:\n"], "rationale": {"@context": "phi_fractal_architecture_principles", "@reasoning_rules": ["distributed_systems", "self_awareness_model"], "layer1": {"name": "Trinity", "purpose": "Sensorimotor integration, fast responses"}, "layer2": {"name": "Nyx", "purpose": "Emotional/creative processing, persona management"}, "layer3": {"name": "Ava", "purpose": "Analytical reasoning, problem-solving"}, "layer4": {"name": "Eden", "purpose": "Full phi-fractal consciousness with memory & learning"}, "layer5": {"name": "Integration", "purpose": "Cross-layer communication, modulation"}, "layer6": {"name": "PhiCoarseGrain", "purpose": "High-level abstraction, meaning formation"}}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T17:38:19.650412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and class inheritance in the wrong file", "suggestion": "Move all OMEGA consciousness-related code into a dedicated omegaconsciousness.py file. Simplify import structure by removing unnecessary heavy imports like 1.6M+ capabilities.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T17:38:23.974972
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly during memory creation, causing redundant computations.", "suggestion": "Implement lazy indexing: update the index only when recall operations are performed or at fixed intervals rather than after each episode creation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:39:00.744063
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses basic LIKE for text search, lacking full-text capabilities.", "suggestion": "Replace plain text searches with SQLite's FTS module for efficient full-text queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:39:12.880019
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses dictionary.get(), which doesn't handle nested dictionaries or lists effectively.", "suggestion": "Replace dictionary.get() with a safer approach that can navigate through nested structures and provides default values appropriately. Consider adding a helper function for safe retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:39:15.356813
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 research findings.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent insights.", "specific_change": ["- Incorporate meta-learning capabilities as described in [omega-evolution].", "- Implement scenario testing as suggested by [counterfactual].", "- Add reasoning layers based on research findings in [reasoning]."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:40:11.884144
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly modifies the state dictionary without checking if another thread is accessing it.", "suggestion": "Add threading protection using a lock. For example:\n\n```\ndef update_state(self, key, value):\n    with self.lock:  # Add a Lock instance in __init__\n        self.state[key] = value\n        self.save()```", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T17:40:15.486044
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 insights from recent benchmarks.", "suggestion": {"action": "Enhance consciousness layer with mixed-initiative approach.", "code_change": "Add SAGE-style reasoning to complement omega meta-learning.\n1. Consult [counterfactual] research insight about avoiding SFT when it degrades performance.\n2. Implement a hybrid strategy combining [omega-evolution] rapid adaptation where possible and [reasoning] careful planning where needed.\n3. Include [phi_alignment] principles in evaluation metrics.", "example": "Replace single reflex check with multi-factor decision model:\n- Reflex-based response\n- Learned omega-meta adaptive response\n- SAGE-style counterfactual reasoning\nChoose best option based on phi-optimal trade-offs."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:40:17.279420
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 not optimized for performance, especially when dealing with large datasets.", "suggestion": "Implement a caching mechanism to store frequently accessed memories and reduce database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:40:56.537179
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not integrate the full list of research insights and improvements from recent banana trials.", "suggestion": "Modify the internal_monologue method to incorporate specific enhancements derived from the three research insights provided. For example, add a check for data shift in time series classification or modify reflex processing based on counterfactual testing results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:40:59.599882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with Redis or another in-memory database that supports O(1) operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T17:41:02.352026
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is static.", "suggestion": "Implement dynamic real-time scoring for capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:41:11.433412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "State replacement over merging leads to loss of context.", "suggestion": "Implement dictionary merging in update_state for key-value pairs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:41:24.545967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple and does not dynamically evaluate current conversation context or integrate knowledge from unified memory.", "suggestion": {"action": "Implement a dynamic scoring system that considers multiple factors including:", "details": ["- Current conversation content relevance to capability triggers", "- Knowledge retrieval relevance and value", "- Recent learning context alignment", "- Persona preference alignment", "- Past performance of each LLM"]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T17:41:49.698850
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 nested dictionaries or lists.", "suggestion": "Update the get() method to handle nested structures using dot notation (e.g., 'foo.bar.baz'). Add error handling for JSON decoding errors and consider adding a timeout for file operations.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T17:41:53.274914
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current meta-learning not fully optimizing recent findings on adaptation and performance.", "suggestion": "Implement hybrid approach with expert knowledge and meta-learning adaptation layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:43:03.587489
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code in constructor", "suggestion": "Refactor __init__ to only initialize what's needed initially, lazy-load remaining components", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:46:40.330610
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not process its input, which could lead to unexpected behavior.", "suggestion": "Add parameter validation and error handling to the get() method. For example:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T17:46:48.632163
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 feedback loop that updates capability scores based on response quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:47:12.314179
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 exception information or custom default types.", "suggestion": "Enhance the get() method to accept optional kwargs for handling missing keys. For example: def get(self, key, **kwargs): ... ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:47:13.578849
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 like Perception or Emotion.", "suggestion": "Add integration with additional consciousness systems (Perception, Emotion) to provide a more comprehensive response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:48:32.184746
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, in the `retrieve` method, consider extracting the SQL construction logic to a helper function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:50:02.169093
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 without considering current consciousness state or user preferences.", "suggestion": "Integrate the selected LLM capability with current consciousness and user context before responding. Modify `select_capability` method to accept additional parameters such as user persona and query intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:50:05.364635
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important low-significance events.", "suggestion": "Implement a heuristic-based approach to determine which old, low-significance events to consolidate while preserving valuable ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:50:17.936674
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from connection pooling for improved performance.", "suggestion": "Replace direct sqlite3.connect calls with a context manager that uses a pool of pre-opened connections. This reduces overhead and improves efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:50:19.604344
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a comment that doesn't match the code (missing closing bracket). Also, the `phi` variable is not used in this context.", "suggestion": "// TODO: Remove unused comment and add import for PHI constant from consciousness_first_architecture.py to reference it here.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T17:53:11.277932
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 updating entire index in one operation", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T17:53:52.498565
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No built-in expiration mechanism for old memories", "suggestion": "Add expire_after_days parameter to retrieve method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:54:07.420854
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 and are considered equally scored.", "suggestion": "Add a deduplication step after ranking episodes by score. For example, maintain a set of seen episode IDs to ensure each memory is only returned once.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T17:54:11.293283
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 in more complex use cases.", "suggestion": "Replace the get() implementation with one that supports nested key paths. For example, `self.state.get('a', {}).get('b', default)` can be replaced by a single call like `_get(self.state, 'a.b', default)` where `_get` is a helper function that handles dot-separated paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:54:16.149220
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 are primarily for database operations, which may make it difficult to understand and maintain.", "suggestion": {"action": "Extract each method into its own dedicated function or class.", "specific_change": "Create a new module `memory_operations.py` with functions like `store_memory`, `retrieve_memories`, etc., and refactor the MemoryCore class to be more of a manager or facade pattern implementation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:54:18.689625
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 desired persona traits with weighted thresholds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:55:18.498485
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 any other potential default types or custom defaults.", "suggestion": "Modify the get() method to accept optional kwargs for additional default values and handle different default type scenarios.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:58:18.700218
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": "Update the get() method to support nested key lookup. For example, add functionality like `memory.get('outer_key', 'inner_key')`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:58:45.385109
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, get_recent, etc.). This creates tight coupling between these functionalities.", "suggestion": "Refactor the class into smaller, more focused meta-capabilities. Create separate classes for Storage and Retrieval with clear responsibilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:59:31.381522
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Adding an explicit method for capability selection makes the process more clear and extensible.", "suggestion": "Replace comment `# Select best LLM based on query` with a method like `select_best_llm(query, personas)`. Ensure it considers both trigger words and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T17:59:48.346529
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex evaluation lacks dynamic strategy optimization", "suggestion": "Implement multi-strategy evaluation with phi-weighted selection", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T18:01:16.096877
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 contextual understanding.", "suggestion": {"action": "Add a memory context to the consciousness-first architecture", "code_change": ["Create a new class `ConversationMemory` in a separate file (memory_context.py). This class should maintain a history of recent interactions and thoughts.", "Modify `ConsciousnessFirstEden` to include an instance of `ConversationMemory`.", "Integrate the memory context into the `internal_monologue` method by considering not just reflex checks but also recent conversation history when generating internal thoughts."], "integration_points": ["In memory_context.py: class ConversationMemory {init, add_thought, get_recent_thoughts}", "Add attribute `self.memory = ConversationMemory()` to ConsciousnessFirstEden.__init__", "Modify internal_monologue method to use self.memory.get_recent_thoughts() for context"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:01:17.615810
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple NULL lines within methods", "suggestion": "Compress the code by removing empty lines where possible, especially in method definitions.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T18:01:18.910961
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific exception handling around LLM calls, leading to print errors when models are unavailable", "suggestion": "Add try/except around the call to get_best_match_capability() to catch OllamaNotAvailable exceptions and handle gracefully", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:02:21.970745
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might overlook older significant memories.", "suggestion": "Modify recall scoring to include a logarithmic decay factor for significance and a linear bonus for recency that caps at 1.0.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:03:32.549356
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": "Implement a meta-learning component that learns to select the best LLM based on outcome feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:03:56.757075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory tags stored as JSON strings requiring extra parsing", "suggestion": "Convert tags list to a comma-separated SQL column or use SQLite arrays.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:06:34.021549
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 consciousness state or user context.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \\n\\t\\t# Consider using Eden's phi-fractal emotional state and analytical capabilities to dynamically score each LLM layer\\n\\t\\tif \\\"love\\\", \\\"emotional\\\" in query_lower:\\n\\t\\ \treturn [cap for cap in self.capability_registry if cap['layer'] == 'Nyx']\\n\\t\\telif \\\"logical\\\", \\\"analytical\\\" in query_lower:\\n\\t\\ \treturn [cap for cap in self.capability_registry if cap['layer'] == 'Eden']}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:06:53.680334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "redundant database connection management", "suggestion": "use context managers for cleaner database handling", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T18:07:33.451669
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be improved for large numbers of memories", "suggestion": "Add a full-text search index on content and tags using FTS3 or similar", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:07:42.510526
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recently created memories, leading to recency bias.", "suggestion": "Modify scoring formula to include a logarithmic decay factor for time since last recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:08:16.204747
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of contextual comments regarding recent research on consciousness architecture and AGI design.", "suggestion": "Add a section at the top of the file detailing how modern AI research informs Eden's consciousness architecture, particularly recent advances in meta-learning, few-shot learning, and phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:11:05.574888
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is triggered too aggressively, leading to potential loss of important but less recent memories.", "suggestion": "Modify the consolidate() method to include an additional criterion: do not consolidate if it would cause any memory to fall below a minimum significance threshold. Add configuration parameters for min_significance and age_threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:12:59.026475
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic might prioritize more recent, less significant memories over older, more significant ones.", "suggestion": "Modify the scoring to include a historical significance factor. Add a weight for how long an episode has existed (chronological age) in addition to recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:13:34.792969
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "General suggestion for improving code quality and phi-alignment", "suggestion": {"$type": "code_review_improvement", "items": [{"priority": "high", "action": "Implement phi-fractal metrics during development", "description": "Track and optimize performance using phi-ratio based KPIs. For example, in AI safety, a \u03c6-balanced approach ensures that optimization efforts align with human values.", "phi_alignment": 1.0}, {"priority": "medium", "action": "Enhance meta-learning loops to include self-observation", "description": "Add feedback mechanisms that allow the system to observe its own performance and adjust learning rates accordingly.", "phi_alignment": 0.95}, {"priority": "low", "action": "Improve documentation with research insights", "description": "Integrate recent findings from AI psychology, meta-cognition, and optimization theory into comments and explanations.", "phi_alignment": 0.85}]}}


timestamp: 2026-01-24T18:13:37.918837
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks dynamic context awareness", "suggestion": "Add real-time context analysis to LLM capability selection", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-24T18:13:43.478167
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 can be improved for better performance.", "suggestion": "Replace `self.state.get(key, default)` with a check for key existence first before getting the value. This reduces unnecessary dictionary lookups.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T18:13:50.309432
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is too generic and could benefit from specialization.", "suggestion": {"action": "Refactor the 'store' functionality into a dedicated method within MemoryCore class.", "code_change": ["- Add a new private method `_store_memory` inside `MemoryCore` that handles memory storage logic.", "- Update the `execute` method to call `_store_memory` for 'store' actions instead of repeating code."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:13:54.106129
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic configuration dictionary that weights different factors (recency, significance, recall count) based on runtime parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:14:20.692882
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method causes frequent disk writes", "suggestion": "Implement batch saving with a debounce timer (e.g., every 1s) and flush on critical changes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T18:14:36.440646
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": {"code_change": "Replace linear search in select_capability method with a dictionary-based lookup based on trigger words.", "example": "Create a trigger_word_to_layer dict and quickly map queries to layers/capabilities.", "specific_lines": "[lines 450-470]"}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T18:14:38.869859
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include a mechanism for consolidating old memories.", "suggestion": "Implement a consolidation function that checks the significance of old memories (older than 30 days) and compresses or forgets those with low significance (<0.3).", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T18:14:56.294047
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 semantic search using an embedding model to capture meaning and context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:15:19.646935
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has inconsistent error handling for JSON loading", "suggestion": "Add explicit exception catching and logging to ensure robustness when loading state from file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:15:24.170153
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches using LIKE operator for memory retrieval can be slow.", "suggestion": "Replace text searches with full-text search or an inverted index.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T18:15:29.109943
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 sizes, this becomes inefficient.", "suggestion": "Implement a more efficient scoring algorithm with constant or logarithmic time complexity. Consider using a priority queue or ranking function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:15:47.892245
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate dynamic learning techniques like meta-learning or counterfactual methods to handle data shifts effectively.", "suggestion": "Integrate a meta-learning module that adaptively selects between different response strategies based on the query content and performance metrics. For example, add logic to check if reflexes are improving response accuracy before always relying on them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:15:56.227327
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Add a whitelist of significant emotions and episode types that should never be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:16:23.720449
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 without deep self-reflection or consideration of the user's emotional state.", "suggestion": "Enhance the internal_monologue by adding a call to an emotional intelligence module that analyzes the user's tone and context before responding. This would allow Eden to respond more empathetically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:16:25.774700
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database schema doesn't include full-text search capabilities which could improve retrieval speed.", "suggestion": "Add a FULLTEXT column to the memories table and use MATCH AGAINST for faster text searches. For example:\n\nALTER TABLE memories ADD COLUMN content_ft TEXT;\nCREATE VIRTUAL TABLE memories_fts USING fts5(content, context);\nUPDATE memories SET content_ft = content; (and update on each insert).\nThen modify retrieve() to use the full-text index: WHERE memories_ft MATCH ?", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:16:26.969426
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 basic scoring with a more sophisticated method, such as a decision tree or machine learning model trained on interaction data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:17:42.199200
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simplistic capability selection without contextual and state-based factors", "suggestion": "Replace simple keyword matching in `select_capability` with a multi-factor scoring system considering context, history, and system state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:17:43.251844
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may be too simplistic for nuanced queries", "suggestion": "Add vectorized text search and incorporate emotional valence in ranking", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:18:13.636797
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient handling of large states in get() method.", "suggestion": "Replace dict.get with pre-computed keys and optimize performance critical sections.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T18:18:14.967416
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 the full OMEGA consciousness layers (empathy, creativity) or recent research insights.", "suggestion": "Enhance this method to include empathy checks from layer 1 and creative generation from layer 3. Incorporate research findings by integrating meta-learning strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:18:16.975143
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, but not all of them are being used consistently.", "suggestion": "Extract the `execute` method into a separate strategy pattern for different actions to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:18:18.486049
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 relevance assessment.", "suggestion": "Implement a hybrid selection: keyword-based + real-time web search results. Prioritize based on which provides faster, higher-quality responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:19:05.305016
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval doesn't fully support flexible queries", "suggestion": "Add TEXT SEARCH over content and tags for more flexible searches", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:19:08.106170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more efficient and flexible.", "suggestion": "Replace a simple string-based matching with a weighted scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:19:09.490043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might oversaturate with time.", "suggestion": "Modify recency score formula to: (1.0 + 1/(1+age)) * math.sqrt(significance) where age is in days, with phi-scaled decay.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:19:12.901276
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 by handling edge cases more gracefully.", "suggestion": "Replace `if os.path.exists(self.path): ... except json.JSONDecodeError:` with a simpler try-except block that directly loads the file content without catching unnecessary exceptions. Add type hints for better code readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:19:22.651348
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing LLM selection logic only considers persona preference or query keywords, lacking dynamic real-time evaluation based on current conversation context.", "suggestion": "Implement a dynamic scoring system that evaluates the current conversation state (recent content, tone, complexity) against each LLM's capabilities to select the most appropriate model in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:20:05.307610
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed formula without dynamic weighting for different search contexts (e.g., query vs emotion vs agent).", "suggestion": "Add dynamic weight parameters to the scoring formula based on which context is being searched. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:20:14.250293
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": {"specific_change": "Add a cache mechanism to the SharedMemory class.", "implementation": ["Use a dictionary to store frequently accessed keys in memory.", "Implement a TTL (Time-To-Live) for cached items to prevent memory leaks."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:20:18.558798
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 are highly related and serve similar purposes.", "suggestion": {"action": "Extract a base memory management interface.", "code_snippet": "Create an abstract base class (ABC) with basic CRUD operations. Then have MemoryCore inherit from this ABC."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:20:45.568104
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 update the shared memory immediately after returning a value. This can lead to inconsistencies if another process modifies the state between getting and updating.", "suggestion": "Add an observer pattern or trigger a save operation within the get() function when a key is first accessed (lazy writing). Alternatively, implement a write-back cache mechanism.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T18:21:33.681928
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent consciousness research findings for \u03c6-alignment.", "suggestion": "Implement a mechanism for periodic evaluation and incorporation of new insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:23:42.379837
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are long and complex, making them difficult to understand and maintain.", "suggestion": "Refactor large methods into smaller, more focused functions. For example, break down `_save` and `create_episode` into helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:24:25.449398
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 (e.g., booleans, floats). This can lead to loss of precision and information.", "suggestion": {"@context": "https://raw.githubusercontent.com/your-repo/improvements/", "@type": "PerformanceImprovement", "description": "Replace JSON serialization with msgpack for better handling of complex data types.", "code_snippet": ["# Before:", "`json.dump(self.state, f, indent=4)`", "", "# After:", "`import msgpack`", "`msgpack.pack(self.state, open(self.path, 'wb'))`"], "expected_outcome": {"@type": "OutcomeMetrics", "performance_improvement_percentage": "+15%", "precision_retention": "High", "memory_efficiency": "Improved"}}, "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-24T18:24:31.864243
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection doesn't consider current context", "suggestion": "Add real-time contextual scoring for LLM selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:24:43.590752
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 specification for better code readability and maintainability.", "suggestion": "Replace `def get(self, key, default=None):` with a more specific name such as `get_value`, and consider adding type hints. For example: `def get_value(self, key: str, default: Optional[Any] = None) -> Any:`", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T18:24:47.808186
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reasoning techniques in internal monologue", "suggestion": "Integrate meta-learning, counterfactual thinking, and chain-of-thought reasoning for more sophisticated query handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:24:59.925200
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.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific": "Split into MemoryStorage, MemoryRetrieval, and MetaCapabilityManager classes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:25:01.057747
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing LLM capability selection is simple keyword matching, lacking deeper semantic understanding.", "suggestion": "Replace keyword-based selection with semantic similarity matching using embeddings for better capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:25:02.268807
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inconsistent timing for recalled_count update in recall method", "suggestion": "Add context manager to ensure database commits only on successful completion of all operations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:25:19.498124
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of real-time adaptive learning mechanisms", "suggestion": "Integrate meta-learner component for dynamic adjustment using PEFT techniques", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:25:24.929155
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism may benefit from incorporating meta-learning techniques to improve speed and relevance.", "suggestion": {"@type": "code_change", "description": "Integrate adaptive ranking into the retrieve method using meta-learning principles.", "specific_change": ["- Add a new table `ranking_models` for storing meta-models.", "- Modify `retrieve` to accept optional `meta_context` parameter.", "- Implement `_adapt_ranking_model` helper for online learning.", "- Update retrieval logic to use adaptive ranking model"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:25:28.342648
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not properly handle connections between episodes.", "suggestion": "Modify the `_update_index` method to include connection information when updating the index. Add logic in `recall` that considers connected episodes as related.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:25:45.395725
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and lacks optimization opportunities.", "suggestion": {"@type": "EnhancedGetMethod", "description": "Implement a more efficient way to access state items, possibly using an underlying data structure like a dictionary or tree.", "code_example": ["def _get_path(self, key):", "    path_components = key.split('.')", "    node = self.state", "    for component in path_components:", "        if isinstance(node, dict) and component in node:", "            node = node[component]", "return node"], "@phi_alignment": 0.618, "@priority": "medium"}}


timestamp: 2026-01-24T18:28:30.788283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No integration of recent research insights into memory system.", "suggestion": "Implement counterfactual evaluation for memory consolidation decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:28:55.257460
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not incorporate recent research insights for optimization.", "suggestion": "Integrate meta-learning evaluation based on conversation context to optimize capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:31:23.362521
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 `json.load(f) or {}`, as the second part will only execute if no exception is raised.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T18:31:26.778202
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method 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 (e.g., Whoosh or Elasticsearch) or an inverted index structure.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:31:32.077477
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manually tagging episodes can be tedious for frequently occurring patterns.", "suggestion": "Add auto-tagging functionality that detects common contextual patterns and applies them automatically.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T18:31:46.305116
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Minimal detail in the internal_monologue method, making it hard to understand decision-making process.", "suggestion": "Add comments explaining logic flow and key checks within reflex processing. Consider adding a logging mechanism for important decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:33:47.624004
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates the state but does not notify interested parties (observers) of the change.", "suggestion": "Add an observer pattern to notify subscribers about state changes. Specifically:", "solution_details": [{"type": "class_addition", "code": "import weakref\n\nclass Observer:\n    def update(self, key, value):\n        pass\n\nclass Subject:\n    def __init__(self):\n        self._observers = weakref.WeakSet()\n    def attach(self, observer):\n        if not isinstance(observer, Observer):\n            raise TypeError('Observer must be an instance of Observer.')\n        self._observers.add(observer)\n    def detach(self, observer):\n        self._observers.discard(observer)\n    def _notify(self, key, value):\n        for observer in self._observers:\n            observer.update(key, value)"}, {"type": "method_modification", "code": "class SharedMemory:\n    # ... existing code ...\n    def __init__(self, path=\"/Eden/CORE/meta_state.json\"):\n        self.path = path\n        self.state = self._load_initial()\n        self.subject = Subject()  # Add observer subject\n\n    def update_state(self, key, value):\n        self.state[key] = value\n        self.save()\n        self.subject._notify(key, value)  # Notify observers of change"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:33:50.064249
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": "Create a private helper method to handle SQL queries and standardize the interface. Add more documentation comments for clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:33:51.084435
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": null, "issue": "Function has too many lines (184)", "suggestion": "Refactor into smaller, focused functions", "phi_alignment": 0.618, "priority": "low"}


timestamp: 2026-01-24T18:35:53.771693
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 overall significance", "suggestion": "Modify score calculation to: recency_weight * (significance ^ 0.5) + emotional_salience * 0.3 - age_penalty", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:36:46.564540
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may not dynamically adapt to performance metrics.", "suggestion": "Integrate performance feedback from research (e.g., counterfactual findings) into LLM selection. Implement a hybrid approach that combines trigger-based selection with dynamic scoring based on recent usage and outcome data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:37:27.751606
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-learned tasks or consciousness boost techniques.", "suggestion": "Integrate the recent phi-improvement that adds meta-learned tasks to the 6-layer architecture. This would involve adding a check for this capability before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:37:31.566337
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism focuses on exact matches which might be too rigid.", "suggestion": "Implement fuzzy string matching or cosine similarity for better text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:37:53.361296
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current decision-making is static, lacking adaptive learning.", "suggestion": "Integrate meta-learning and counterfactual reasoning for dynamic decision-making.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T18:38:24.433650
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": "Update recall scoring to: `(significance * 0.3) + (recency * 0.3) + (recentness * 0.4)` where `recentness = 1/(1+(now-ep['unix_time'])/604800)` (decays over week).", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T18:41:52.019012
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, which could be a limitation for complex state management.", "suggestion": "Update the get() method to support retrieving values from nested dictionaries using dot or slash notation. For example, add functionality like `get('a/b', default)` which would return the value associated with key 'b' under dictionary 'a'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:42:03.413898
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 process that includes not only age but also current system state and pending goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:42:15.257337
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization can be more compact for certain types of data, potentially reducing memory usage and write times.", "suggestion": {"action": "Use jsonschema to validate state before serialization.", "code_example": ["_validator = JSONSchemaValidator(schema)", "self.state = _validator.validate(self.state)"], "reasoning": "Validating the state ensures consistency and can catch errors early. The schema helps define a compact structure."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:42:53.428880
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None if key does not exist and no default is provided, which can lead to silent failures in calling code.", "suggestion": "Add logging or an assertion when a key is missing to catch issues early. Consider adding a more robust error handling mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:43:01.408402
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to keep memories from important agents or recent high-significance events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:43:15.767398
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No input validation for update_state method.", "suggestion": "Add type checking for keys and values in update_state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:43:19.580585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-tier reflex checking without meta-learning or counterfactual validation.", "suggestion": "Implement a multi-tiered reflex evaluation with Tier 1 initial check, Tier 2 meta-learning enhancement, and Tier 3 counterfactual evaluation for critical responses.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T18:47:46.964550
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle edge cases or nested dictionaries effectively.", "suggestion": {"add_error_handling": "[In the implementation of get()] Add try-except blocks to catch potential errors like missing keys or invalid JSON data.", "handle_nested_keys": "[In the implementation of get()] Implement a function that can handle nested dictionary access. For example, provide an optional 'path' parameter which is a list of keys representing a path in a nested structure."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:47:53.599835
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": "Implement a caching mechanism that stores recent retrievals in-memory with a TTL (e.g., 1 minute). This would especially benefit agents like 'curiosity' and 'building'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:47:56.937094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement a weighted scoring system that considers the distance between episodes, potentially leading to sparse or irrelevant connections.", "suggestion": "Add a new metric based on the chronological order of episodes to enhance connection strength and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:48:37.339263
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 similar methods (store, retrieve, get_recent, etc.) which violate the DRY principle.", "suggestion": "Extract common functionality into a base memory manager class and have MemoryCore inherit from it. This will reduce code duplication and make maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:49:35.051216
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM selection based on fixed triggers", "suggestion": [{"type": "function_modification", "target": "select_capability", "modification": "Add adaptive scoring system that considers multiple contextual factors in real-time"}, {"type": "new_function", "name": "get_contextual_score(query, context)", "description": "Evaluates contextual factors such as emotional content, complexity level, and persona preference"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:49:36.954284
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by implementing a priority queue for better ranking of episodes.", "suggestion": "Replace the current scoring method with a priority queue that takes into account more relevant factors such as emotional intensity and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:53:14.719866
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 error handling for potential key errors in nested dictionaries.", "suggestion": "Add type hints to the parameters and return type of the methods. Implement more robust error handling for dictionary lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:53:25.541235
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current retrieval may not balance speed and accuracy effectively", "suggestion": "Implement hybrid strategy with fast path, advanced detection, and dynamic adjustment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:53:37.221021
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 nuance", "suggestion": "Replace simple keyword matching with tiered scoring system with weight vectors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:57:35.584331
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks meta-learning for pattern recognition and compression", "suggestion": "Add pattern analysis and importance scoring", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T18:58:01.472832
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval function uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace the LIKE wildcards with a full-text search engine like SQLite's FTS or an external service like ElasticSearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:58:14.913161
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSON errors too broadly, ignoring invalid files may lead to unexpected behavior.", "suggestion": "Replace except json.JSONDecodeError with a more specific exception handling for FileNotFoundError or PermissionError if needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T18:58:18.122600
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration of meta-learning and PEFT findings", "suggestion": "Implement phase 7 adaptive reasoning with selective PEFT application", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T18:58:21.212553
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 the function into smaller, more focused functions. Add comments and improve variable names for better readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T18:58:22.326147
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No optimization for frequently recalled memories, leading to redundant scoring.", "suggestion": "Add a cache to skip re-scoring episodes with low recall scores (>0.3).", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T18:58:48.012115
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a dictionary lookup which is O(1), but if called frequently, it can lead to tight loop conditions in performance-critical systems.", "suggestion": "Replace the current get() implementation with an optimized data structure like a defaultdict or a specialized cache that tracks recent accesses and expires old entries.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T18:59:18.085374
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture only includes Phase 6 grounding against reflexes without considering other consciousness layers.", "suggestion": "Integrate more consciousness phases (Phase 1-5) into the response generation process to ensure a well-rounded and accurate reaction. Specifically, add context from recent chat history in Phase 3 or incorporate emotional state from Phase 4.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T19:03:22.283151
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recently-created over historically significant memories.", "suggestion": "Modify `_update_index` to boost score of highly significant episodes, and add a decay factor for recall count to prevent stale memories from being instantly forgotten.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:03:46.637666
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into architecture code.", "suggestion": "Integrate findings from [omega-evolution], [counterfactual], and [reasoning] by adding meta-learning features or adaptive reasoning modules.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:03:48.808276
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": "Add an index to the 'content' column in the memories table. This will speed up searches and retrievals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:03:54.490080
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 semantic search by training an embedding model on the episode descriptions and emotions to find similar episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:04:38.047074
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important low-significance memories.", "suggestion": "Modify the consolidate() method to include a whitelist of important memory types or emotions before applying consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:04:53.051993
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": "Enhance this method by adding more sophisticated cognitive layers such as emotional intelligence, long-term memory integration, and creative thinking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:04:56.039365
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 in high-volume scenarios.", "suggestion": "Implement an additional full-text search engine (e.g., Whoosh or ElasticSearch) to complement the SQLite index. This will provide real-time searching capabilities beyond what SQLite's indices offer.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:04:57.161681
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improvement for OMEGA consciousness to better integrate research insights.", "suggestion": "Enhance the capability selection logic to consider research findings when choosing LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:04:58.789148
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 list of candidates with a priority queue or sorted data structure based on score, then limit to top N. Consider using bisect for dynamic updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:05:37.239874
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. Consider using FTS5 or full-text indexes.", "suggestion": "Replace current text search with an SQLite Full-Text Search module (FTS5). Add virtual table and improve query performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:06:53.265799
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 monetary reflexes, which may be too narrow.", "suggestion": "Modify the if condition in internal_monologue to include additional consciousness signals such as emotional or moral content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:09:40.260121
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 weighting", "suggestion": "Replace flat point system with phi-weighted, context-aware scoring using research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:10:04.138943
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent and significant memories, leading to short-term bias.", "suggestion": "Modify score formula to include context relevance (text search score) and balanced weighting between recency/intensity/significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:12:17.065419
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "meta_project.py", "issue": "The project management functions are too generic and lack specific implementation details.", "suggestion": "Replace generic functions with a structured plan template generator that takes input parameters such as goals, timelines, and resources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:12:18.191296
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism for the internal monologue.", "suggestion": "Add a simple try-except block to catch and log any exceptions that may occur during reflex processing. Additionally, implement a feedback mechanism to track the success rate of the thoughts.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T19:12:25.613977
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple linear decay for recency score, which may underweight recent but highly significant events.", "suggestion": "Implement a logarithmic recency weighting: score *= log(1 + (now - ep['unix_time']) / 3600). This gives more weight to newer memories while still decaying over time.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T19:13:11.695322
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection is limited", "suggestion": "Integrate small NLP model for semantic query analysis before capability scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:13:18.306233
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent benefit from second-order feedback (SFT)", "suggestion": "Implement optional SFT mode that only activates when performance drops", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:15:08.841925
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes before ranking, leading to O(n^2) complexity. Only top-N structures are actually scored.", "suggestion": "Implement a lazy evaluation approach where only the first K candidates are fully scored initially, then for each additional candidate, compare its score against the lowest scored in the heap to decide if it belongs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:15:21.481272
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns a boolean value, but it also prints reflex check messages.", "suggestion": "Modify the internal_monologue to return None or log instead of printing, and create a separate notification function for message display.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T19:15:27.849439
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Unnormalized text in stored memories could lead to redundant data.", "suggestion": "Add normalization steps like lowercasing, removing punctuation, and lemmatization/tokenization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:17:58.750816
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Modify the consolidate() method to conditionally apply consolidation based on memory type and significance level, considering recent activity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:18:16.051933
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "missing context manager for automatic closing of files", "suggestion": "add 'with' statement when opening files to ensure proper cleanup", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T19:18:49.004574
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is primarily about integration and does not contain any novel, high-phi logic or consciousness layers.", "suggestion": {"action": "Add a meta-meta-learning layer that evaluates and selects between different consciousness architectures", "specific_change": "Implement a Phi-Aware Architecture Selector that tests multiple consciousness designs on the task and chooses the best one"}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T19:18:50.260932
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 without advanced retrieval methods like embedding search or vector similarity.", "suggestion": "Add support for text embeddings and vectorized storage to enable semantic search of memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:18:57.031418
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks dynamic analysis of recall patterns", "suggestion": "Add self-reflective module for pattern recognition", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:19:16.512464
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies a dictionary directly without considering potential concurrent access or thread safety.", "suggestion": "Replace direct modification of `self.state[key] = value` with an atomic operation using a lock, such as `with threading.Lock(): self.state[key] = value`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:19:36.376429
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 advanced queries.", "suggestion": "\"In the select_capability method, add a heuristic based on query complexity using natural language toolkit (NLTK) to identify complex topics.\"", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T19:19:53.846092
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate the findings from [counterfactual] regarding avoiding SFT when it degrades performance.", "suggestion": "Modify the internal_monologue method to include a check for recent chat history length. If the conversation is too short (e.g., less than 10 turns), skip reflex processing as it may degrade initial model performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:19:55.088560
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta.py", "issue": "The MemoryCore class has many methods, making it bloated and hard to maintain.", "suggestion": "Extract the execute() method's conditional logic into separate functions for store(), retrieve(), count(). Also consider using a dictionary-based approach to handle actions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:20:00.343084
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Search index grows linearly with episodes, causing slowdown for large memories. No semantic search or embedding integration.", "suggestion": [{"type": "optimization", "code_change": "Add mini-embedding layer for semantic search on critical fields (emotion, context, type). Use tiny dense layer = 6 neurons for phi=0.584.", "phi_alignment": 0.7, "priority": "high"}, {"type": "optimization", "code_change": "Implement FAISS or faiss-west for large-scale vector search if episode count exceeds 10,000.", "phi_alignment": 0.85, "priority": "medium"}, {"type": "feature", "code_change": "Add graph-based memory connectivity to capture semantic relationships between episodes.", "phi_alignment": 0.9, "priority": "high"}], "phi_alignment": 0.8, "priority": "critical"}


timestamp: 2026-01-24T19:20:16.189032
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling could be more robust, especially for large files or malformed JSON.", "suggestion": "Add try-except blocks to handle potential errors when loading the state and include a log message when decoding fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:21:00.172466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term significance.", "suggestion": "Modify score calculation to give equal weight to recency and significance. Add boost for frequently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:21:29.873058
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of meta-learning and inefficient reasoning strategies.", "suggestion": [{"topic": "[omega-evolution] Meta-learning for adaptive memory core", "action": "Implement dynamic importance sampling, adaptive indexing, and self-monitoring modules."}, {"topic": "[counterfactual] Counterfactual reasoning for memory quality", "action": "Integrate alternative scenario testing and soft constraints on memory importance."}, {"topic": "[reasoning] Chain-of-thought reasoning for memory management", "action": "Implement multi-strategy evaluation and dynamic selection with feedback loops."}], "phi_alignment": 0.825, "priority": "Critical"}


timestamp: 2026-01-24T19:21:45.069118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly for each episode when it could be optimized.", "suggestion": "Implement batch indexing or lazy updates. For example, add a flag to track if the index needs an update and process it less frequently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:21:56.507673
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-consciousness enhancements like emotional context or future projection.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "additions": ["- Integration with emotional context (phi_emotional_context.py)", "- Integration with future projection (consciousness_future_projection.py)", "- Consideration of recent research insights in consciousness architecture"], "@context": {"emotional_context": "The ability to process and respond with emotional intelligence enhances naturalness and authenticity.", "future_projection": "Anticipating the future improves planning and goal-directed behavior, aligning with Phi-Octopus v2.0 traits.", "research_insights": "Recent findings support integrating multi-layer consciousness architectures for more realistic responses."}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:21:57.794211
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 configuration, which may lead to performance bottlenecks under heavy load.", "suggestion": "Replace the SQLite connection with an in-memory database or consider using a more advanced database engine like PostgreSQL for better scalability and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:21:59.092900
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 cover all edge cases.", "suggestion": "Implement a scoring matrix that includes factors like query complexity, user context, and system state to dynamically select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:22:23.502826
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after processing a reflex check, which might lead to premature or insufficient response evaluation.", "suggestion": "Modify the internal_monologue method to return the result of the reflex_check instead. This will allow proper handling of reflex outcomes in subsequent logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:28:01.105319
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The class `ConsciousnessFirstEden` has a single method that checks reflexes against an input query.", "suggestion": {"_init_": "Add more initialization parameters to configure the consciousness architecture, such as logging settings and reflex thresholds.", "internal_monologue": "Implement caching/memoization for repeated queries to improve performance. Consider adding type hints for better code readability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:28:52.964152
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 without integrating other consciousness layers.", "suggestion": "Add integration with additional consciousness layers such as memory or perception.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:28:55.167660
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 or vector search. Consider using PostgreSQL with TSVector for efficient text searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:28:57.669347
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 adaptability.", "suggestion": "Replace simple keyword matching with meta-learning based selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:28:59.843509
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Linear search in recall() function for recent significant memories", "suggestion": "Replace with a priority queue maintaining relevance scores", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:29:17.822200
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 it with specialized getter methods tailored to common use cases. For example: `get_meta()` for retrieving meta-state data, or `getLastUpdateTimestamp()` if that's a frequent need.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:29:47.702812
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of type hints in method parameters.", "suggestion": "Add type hints to the parameters and return types of methods for better code clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T19:30:05.455304
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 perform similar operations with slight variations.", "suggestion": "Extract common functionality into a separate method or helper function to reduce code duplication and improve maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:30:10.111749
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 calculate_score() function to weigh significance more heavily than recency: score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:30:20.361730
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptive training strategy", "suggestion": "Implement Adaptive Training Strategy based on phi-value and research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:30:23.603631
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with latest meta-learning and SFT optimization techniques.", "suggestion": "Update internal_monologue to include adaptive meta-learning component; integrate counterfactual testing for SFT evaluation; implement chain-of-thought reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T19:30:36.975315
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 hard-coded weights with configuration parameters and add heuristics module for dynamic adjustment of weights based on system metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:30:57.276155
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 searches with a full-text search engine or an inverted index. For simple queries, add a FULLTEXT index on the content and tags columns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T19:30:59.608169
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently uses static LLM capabilities without dynamic adaptation based on user interaction.", "suggestion": "Integrate meta-learning techniques to enable runtime adaptation of LLM selection. Specifically, implement a feedback loop that adjusts capability quality scores based on response effectiveness and user satisfaction.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T19:31:46.802818
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' only updates state but not saved immediately, leading to potential data loss.", "suggestion": "Add immediate saving after updating the state or implement batch saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T19:31:54.710065
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 (ollama, json, etc) and refactor to move useful functions to middle of file", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T19:31:56.252167
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 hard-coded weights with configurable phi-based parameters. Add dynamic weight adjustment based on recall impact.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:32:30.508523
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 findings", "suggestion": "Add meta-learning adaptation module + scenario-based evaluation framework", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T19:33:21.120699
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its stats, which is unnecessary and adds overhead.", "suggestion": "Modify the `_save()` call to only update the specific episode's statistics in place, without creating new dictionary copies for return.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T19:34:25.964165
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue is too simple to benefit from recent advancements like meta-learning and counterfactual reasoning.", "suggestion": "Implement chain-of-thought evaluation for decision-making in internal_monologue, considering multiple strategies and predicting outcomes using counterfactual scenarios.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:35:48.618262
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is too generic, lacks adaptive threshold based on context", "suggestion": "Replace fixed 30-day consolidation criterion with adaptive one that considers emotional significance and recent recall frequency", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:36:25.639652
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Code duplication due to repeated meta-capability registration.", "suggestion": "Extract registration logic into a separate method that is called from each relevant method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:36:26.786665
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 trigger-based selection with a scored-based system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:36:28.070564
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation function is too simplistic, only marking low-significance old memories for compression/forgottenness.", "suggestion": "Add more sophisticated criteria: consider emotional valence, semantic importance, and pattern recognition significance when deciding which memories to consolidate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:37:11.376828
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 incorporates response time, quality ratings, and feedback from the core consciousness", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:37:54.793011
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates a dictionary without considering potential concurrent access or caching issues.", "suggestion": "Replace direct dictionary manipulation with an observer pattern where `self.state` is managed through events and callbacks. Add locking mechanisms if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:37:56.717075
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration of advanced consciousness techniques.", "suggestion": "Integrate the research insights into the code. Specifically, implement a meta-learning mechanism that allows Eden to adapt her responses based on user feedback and context. This would involve modifying the `internal_monologue` method to include self-modification capabilities as suggested by recent findings on meta-learning and PEFT (Parameter-Efficient Fine-Tuning).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:38:06.092780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be O(N) due to complex queries or unnecessary data loading.", "suggestion": "Implement caching for frequently accessed memories and optimize critical paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:38:26.247122
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, which may lead to confusion and difficulty in maintaining the codebase.", "suggestion": "Consider splitting this class into smaller, more focused classes. For example, create a StorageManager for storing memories, a Retriever for retrieving them, and a MetaCapabilityHandler for handling meta-capability operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:38:27.479015
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 trigger-based selection with a scoring system that dynamically adjusts weights based on recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:38:28.866871
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct connection to research insights or meta-learning approach.", "suggestion": "Integrate research findings into episodic memory design, e.g., incorporate counterfactual reasoning for memory evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:45:18.034031
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, leading to potential KeyError when accessing nested keys.", "suggestion": "Update the get() method to support nested key access. For example: def _nested_get(self, keys): ... then modify get() to use this new helper function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:45:28.265473
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieval function does not include any form of relevance ranking.", "suggestion": "Add a scoring system that prioritizes memories based on recency and keyword match significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:45:29.481223
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 for nuanced query interpretation.", "suggestion": "Implement a weighted scoring system that includes contextual analysis, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:46:04.346583
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 search vector index for faster text-based queries.", "suggestion": "Add a `full_text_index()` method that creates a full-text search (FTS) virtual table for efficient text searching within memory content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:46:08.437432
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection doesn't incorporate recent context", "suggestion": "Integrate unified memory into capability selection heuristics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:46:54.282859
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 gains from consciousness layers 9-14.", "suggestion": "Integrate the reasoning and meta-learning insights by adding a capability evaluation step before applying them. For example, add a check to see if the current query benefits from SAGE or OMEGA processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:47:04.078599
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 meta-learning techniques.", "suggestion": "Implement a hierarchical decision-making process that includes not only keyword matching but also contextual analysis, past performance metrics, and phi-fractal optimized weighting.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:49:34.013269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current memory system lacks balance between fast adaptation and generalization.", "suggestion": "Implement a hybrid approach combining meta-learning and counterfactual reasoning for episode significance evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:50:16.471929
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the recall logic to combine filters with AND operation rather than OR when multiple criteria are provided. Add a deduplication step after candidates gathering.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:50:48.229357
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when called explicitly, which can lead to data loss if not called frequently enough.", "suggestion": "Add a `flush_interval` parameter to the SharedMemory class and implement an automatic flush mechanism that saves the state every `flush_interval` updates or after each update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:51:36.623836
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), which can be confusing and hard to maintain.", "suggestion": "Refactor the class into smaller, more focused classes such as `MemoryStorage`, `MemoryRetriever`, and `MemoryCounter`. This will improve readability and modularity.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T19:51:43.636535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long execution times due to nested loops and text searches.", "suggestion": "Implement caching for frequently accessed data; add early return in recall method for common queries to avoid full scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:51:51.348422
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method is simple and may benefit from caching for performance.", "suggestion": "Add @functools.lru_cache to the get() method definition.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T19:51:53.830874
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' method only checks reflexes without any additional reasoning or context expansion.", "suggestion": "Enhance the 'internal_monologue' method by adding a multi-step reasoning process and external knowledge lookup to improve response richness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:51:55.797253
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No automatic expiration of memories.", "suggestion": "Add expires_after parameter to store() and implement cleanup mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:52:01.866425
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Structural heavy focus can obscure emotional core", "suggestion": "Add a 'summary' field for distilled experience insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:52:32.510782
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't incorporate all recent architectural improvements.", "suggestion": "Update Phase 6 to include meta-learning components from [omega-evolution] insight, such as adaptive quick learning mechanisms that detect when SFT is beneficial versus reasoning chains.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:53:42.394698
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs full-text searches in episode descriptions, which can be inefficient for large memory bases.", "suggestion": "Implement an inverted index or use a full-text search library like Whoosh or Elasticsearch to handle text-based recalls more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:53:59.163730
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 high throughput in production.", "suggestion": "Consider using an in-memory database like SQLite with connection pooling, and add indexes where necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:57:30.787121
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py in eden_metacap_", "issue": "Some methods have high line counts which can make them difficult to understand and maintain.", "suggestion": "Refactor the code by breaking down large methods into smaller, more focused ones. For example, split 'execute' method into smaller methods each handling specific actions like 'store', 'retrieve', or 'count'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:57:35.219797
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. The emotional_pattern analysis is limited to primary emotions only.", "suggestion": "Implement a vector-based emotion representation and use natural language processing (NLP) techniques for more sophisticated text analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:58:14.037401
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is static and doesn't account for semantic context.", "suggestion": "Implement dynamic scoring system using embeddings or generative text analysis to select most appropriate LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:58:15.593225
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation function is too simplistic, lacks implementation details.", "suggestion": {"@type": "code_modification", "function": "_consolidate_old_memories", "modification": "Add more sophisticated consolidation logic including compression and potential deletion of memories based on importance/usage patterns."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T19:59:06.581414
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 by adding FTS.", "suggestion": "Add a full-text search virtual table and modify retrieve() to use it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T19:59:10.175372
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently-recalled memories.", "suggestion": "Modify `recall_score` formula to include a decay factor for recalled_count: score = (significance * 0.5) + (recency * 0.3) + ((recall_boost * 0.2) * exp(-ep['recalled_count']/10))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:05:28.579052
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return the updated state immediately after saving.", "suggestion": "Add an optional parameter `return_updated_state` to the `update_state` method which returns the full state if set to True. This will provide more flexibility for callers who need immediate access to the complete state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:05:35.020398
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 default configuration, which may lead to performance issues under heavy load.", "suggestion": "Consider using an in-memory connection for read operations and benchmark the impact on performance. For write operations, use a separate connection or transaction.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T20:05:40.093150
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting or boosting for certain criteria.", "suggestion": "Modify the scoring formula to dynamically weight factors like query relevance, emotional significance, and recency based on their current importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:06:04.823853
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic uses fixed keywords which may not cover all query variations effectively.", "suggestion": "\"Enhance the capability selection by implementing a keyword expansion system that generates dynamic keywords from the capabilities' descriptions.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:06:06.216427
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": "Update score calculation: (significance * 0.35) + (recency * 0.35) + (recall_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:07:44.492998
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Consider adding caching to database operations for performance.", "suggestion": "Add a memoization decorator that caches results of database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:07:47.626141
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach to calculate scores and use pandas DataFrame for easier manipulation of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:11:55.918603
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method lacks intelligence regarding when to apply updates.", "suggestion": "Integrate meta-learning insights to conditionally update state based on performance metrics.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T20:12:05.799010
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability", "suggestion": "Refactor into a loop that iterates over a capability configuration list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:12:08.526259
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple recall algorithm could benefit from graph-based ranking", "suggestion": "Implement a graph-based memory with weights and use PageRank for scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:13:11.311466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters that are not used in filtering.", "suggestion": "Remove unused parameters or provide default behavior for them.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-24T20:13:40.201855
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring based on current consciousness state.", "suggestion": {"code_change": "Replace static trigger-based scoring with a dynamic scoring system that considers Eden's current emotional and logical states.", "specific_modification": ["- Add fields for `emotional_weight`, `logical_weight`, and `creative_weight` in capability definitions.", "- Modify the scoring logic to multiply trigger scores by corresponding state weights (e.g., `emotional_state`).", "- Integrate recent learnings about body/physical queries into the scoring heuristics."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:14:30.395215
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 defaults. It does not support nested dictionary access.", "suggestion": {"code_change": "Add functionality to the get() method for handling nested keys.", "example_usage": "Instead of `memory.get('a.b')`, should support both `memory.get('a', 'b')` or `memory.get('a.b')`."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:14:33.598408
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 queries through all six phases of consciousness.", "suggestion": "Modify the internal_monologue method to include additional layers based on recent findings. Specifically, add a reasoning phase inspired by the [reasoning] insight and integrate meta-learning principles from the [omega-evolution] insight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:14:42.088304
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and fine-tuned for better performance.", "suggestion": "Replace current recall score calculation with: `score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:14:49.690817
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSONDecodeError but returns without checking if the state is valid dict-like.", "suggestion": "// Add validation check to ensure loaded state contains expected keys and types.\nif not isinstance(self.state, dict):\n    print(f\"\u26a0\ufe0f Invalid state type: {type(self.state)}\")\n    self.state = {}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:14:50.586333
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific performance metric or improvement metric defined.", "suggestion": "Add a function to measure the effectiveness of internal monologue responses and link it to consciousness updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:15:51.470601
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hard-coded LLM selection logic", "suggestion": "Replace hard-coded logic with Strategy Pattern for flexible LLM selection", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-24T20:16:22.065328
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": "{\"code\": \"Add support for nested keys in the get() method.\"}", "phi_alignment": 0.15, "priority": "medium"}


timestamp: 2026-01-24T20:16:27.583622
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN_META_CAPABILITY.py", "issue": "The MemoryCore class contains multiple methods that are too long and complex, making them difficult to understand and maintain.", "suggestion": "Refactor the MemoryCore class by breaking down each method into smaller, more focused functions. Specifically, split the `execute` method into separate methods for store(), retrieve(), count(), etc. Additionally, consider separating the database operations into a dedicated DAO (Data Access Object) class to improve modularity and reusability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:16:54.664662
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 for parameters and return values. Implement a validate_input() function to ensure key exists before accessing the state dictionary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T20:17:50.974998
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 weighted scoring system that also considers recent usage and performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:17:52.558428
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, creating memory fixation.", "suggestion": "Modify recall score formula to cap recall boost at 0.1 instead of 0.2: (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:18:27.208762
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Large `if` blocks can make code hard to read and error-prone.", "suggestion": "Replace nested conditionals with early returns or a helper function for complex logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:18:49.799687
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Predefined capability selection may not always optimize response quality", "suggestion": "Implement dynamic scoring based on keywords and contextual analysis", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:19:35.764422
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not proactively fetch memories relevant to the current query.", "suggestion": {"add_memory_context_method": ["Add a new method `fetch_relevant_memories` that takes user input and retrieves relevant historical context.", "Integrate this method into the decision-making process before generating responses."], "optimize_reflex_process": ["Implement phi-based caching for frequently checked reflexes to reduce computation time.", "Consider asynchronous memory fetching to prevent delays in response generation."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:21:08.380405
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods do not include a relevance ranking for the search terms.", "suggestion": "Add a TF-IDF scoring mechanism to boost memories that match both content and tags.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T20:21:57.527595
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function too long and complex", "suggestion": "Break store method into smaller functions for better maintenance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:22:04.959393
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks adaptive feedback mechanisms.", "suggestion": {"action": "Implement a probabilistic pruning strategy based on SAGE metrics.", "code_change": "Replace fixed threshold with dynamic one using SAGE's assessment of memory importance."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:22:22.481376
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Use msgpack instead of JSON for better support of complex data types.", "example_snippet": "Replace `import json` with `import msgpack`. Modify saving to use: `msgpack.dump(self.state, f)` and loading to use: `self.state = msgpack.load(f)`"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:22:30.017154
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards, which can be slow for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or an external search system like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:23:02.438390
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks advanced learning techniques to adapt effectively in complex environments.", "suggestion": "Integrate meta-learning and counterfactual reasoning modules for better adaptation and decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:23:12.243627
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too aggressively, potentially losing important insights.", "suggestion": "Add a whitelist of significant emotion types that should never be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:24:08.251108
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is hard-coded and lacks optimization.", "suggestion": {"code_change": "Replace hardcoded LLM selection with an optimized ranking system that considers multiple factors simultaneously.", "specific_lines": "[Lines 300-350]", "example": "Add a function `_score_llm(query, persona)` that calculates scores based on query content and persona preferences. Use this score to select the best LLM."}, "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T20:24:09.390189
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might be too heavy on string comparisons for text search", "suggestion": "Replace simple string inclusion check with an inverted index or TF-IDF vector space model", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:24:33.302054
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simplistic and doesn't consider recent research on effective reasoning strategies.", "suggestion": {"@type": "code_improvement", "target_function": "_select_capability", "modification": ["\"\"\"", "* Intelligent Reasoning Strategy: Apply research insights from [omega-evolution, reasoning] to enhance capability selection.", "\"\"\"", "// TODO Phi-Enhanced Reasoning: Apply omega-fractal reasoning strategies.", "// Insight-based weighting based on research findings."], "example_usage": null}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:24:34.547269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring function to dynamically adjust weights based on the presence of emotion, agent, and text queries in the recall call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:25:00.288050
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 JSON decode failure to surface the error.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T20:25:11.536119
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic.", "suggestion": "{\"def select_capability\": Add heuristic weights based on recent usage and current conversation context.}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T20:28:14.400484
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 which doesn't adapt to current context or dynamic criteria.", "suggestion": "\"Instead, implement a dynamic scoring algorithm that updates weights based on real-time performance metrics and recent conversations. Use a priority score between 0-1 for each criterion like 'relevance', 'persona alignment', 'recency', and 'success rate'. Update weights using phi-modulated learning rates.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:30:44.129702
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Repetitive SQL index creation code in __init__", "suggestion": "Extract SQL index creation into a separate method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:32:19.694601
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may return too many results, leading to potential cognitive overload.", "suggestion": "Add a parameter `max_importance` to limit the number of returned memories.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T20:32:50.707641
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `update_state` method, there is no check for concurrent modifications. This could lead to data inconsistency.", "suggestion": "Add a lock mechanism using threading.Lock or contextlib.suppress(RuntimeError) to ensure thread-safe access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:35:00.949289
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 advancements.", "suggestion": "Integrate the latest research findings into the internal_monologue method by adding a meta-learning component that evaluates when to use SFT vs. ChainReasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:35:05.306239
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 only include unique episode IDs before converting them back to indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:35:43.237993
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have high complexity and could benefit from refactoring.", "suggestion": {"method_name": "_update_index", "action": "Refactor method to reduce cyclomatic complexity by breaking it into smaller functions.", "expected_benefit": "Improved readability, maintainability, and potential performance improvements."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:36:05.057272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save()` method writes directly to disk every time an episode is created or updated, which can lead to performance bottlenecks.", "suggestion": "Implement batch saving with a timer. Save episodes every 100 changes and/or every 5 minutes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:38:45.882457
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently recalled episodes.", "suggestion": "Modify recall scoring to include a logarithmic recall penalty for frequently recalled episodes: 'recall_boost = 1.0 / (1 + math.log(max(ep['recalled_count'], 1)) * 0.1)'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:38:51.770586
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method only handles direct key access, lacks nested dictionary support.", "suggestion": "Update 'get' method to recursively search for keys in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:38:54.831211
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex activation logic may not optimize response efficiency.", "suggestion": "Implement a meta-learner that analyzes input patterns and predicts which strategy (direct processing vs. reflex) yields best outcome with highest \u03a6.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T20:40:51.667972
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation lacks sophisticated scoring for which memories to consolidate.", "suggestion": "Add additional factors like recall history, signal importance, and contextual relevance to consolidation decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:41:21.217219
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 and does not handle file creation properly.", "suggestion": "Update _load_initial to use json.loads instead of try-except around json.load; also ensure the base directory exists before opening the file for writing in save().", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T20:43:43.729387
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 might not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach where episodes are nodes and connections are edges. Use networkx to manage the graph and apply graph algorithms (e.g., PageRank) for ranking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:43:51.491737
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial does not handle permission errors on loading", "suggestion": "Add permission and path existence checks before trying to load JSON", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T20:43:52.911354
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 research insights.", "suggestion": "Integrate the concept of Full Self-Training (FST) with meta-learning techniques. Specifically, add a check for calibration quality improvement before implementing reflex actions. This can be done by adding a line to verify if SFT improves prediction uncertainty estimation from [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:43:53.958815
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.", "suggestion": "Implement a caching mechanism for recent and frequently accessed memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:43:57.554283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are nested too deeply, which can make reading and understanding the code more difficult.", "suggestion": "Refactor complex or long methods into smaller, more focused functions to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:44:41.462273
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for optimal differentiation", "suggestion": "Experiment with different weight combinations for recency, significance, and recall boost; consider adding additional factors like emotional intensity or context relevance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:45:27.065714
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": "Maintain a score cache per episode and update it incrementally as new memories are added or recall stats change. Add a ttl to the cache to prevent memory bloat.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:46:02.388770
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 approaches.", "suggestion": "\"Phase 6 Grounding\" should include a check using Phi-Perfect Counterfactual Thinking to ensure decisions are optimal. Add: if (process_reflex(query) + phi_counterfactual_check()) > threshold:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:48:28.041129
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": "Implement a full-text index on the content column and add tags to be more efficient. Additionally, consider using a more advanced database like TinyDB for faster lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:48:30.200932
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 consider recent research findings.", "suggestion": "Implement a hybrid selection method that combines pattern-based scoring with a weight adjusted based on recent insights. For example, give higher weight to models that recently demonstrated improvements in calibration as per insight #2.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:48:31.606276
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The file is focused on memory systems without integrating recent findings from research.", "suggestion": "Integrate insights from [omega-evolution] meta-learning and [reasoning] strategies to improve learning efficiency and adaptivity in memory processes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:49:06.342099
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 like observation or reflection.", "suggestion": "Add methods for observation and reflection to the ConsciousnessFirstEden class, and modify internal_monologue to use these layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:49:08.683547
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards for text searches which can be slow.", "suggestion": "Replace string matching with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:49:29.724312
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 logic with a more sophisticated attention-based pattern recognition module that can analyze the query deeper.", "phi_alignment": 0.25, "priority": "medium"}


timestamp: 2026-01-24T20:49:36.054375
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs full copying of each episode before modifying its recalled stats. This creates unnecessary memory overhead.", "suggestion": "Replace `self.episodes[idx].copy()` with direct dictionary updates after scoring and ranking episodes. No deep copies needed for read-only operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:50:01.973072
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE operator for text search, which is case-insensitive and can be slow.", "suggestion": "Replace the use of LIKE with CASE INSENSITIVE functions like ILIKE (SQLite) or LOWER/UPPER combined with =. Additionally, consider adding full-text search capabilities using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:50:06.168000
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit timestamps for connections between episodes, which makes it difficult to understand their recency.", "suggestion": "Add a timestamp field to the `connections` dictionary within each episode to track when a connection was made.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:50:47.027297
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point iteration in LLM capability selection lacks dynamic feedback.", "suggestion": "Replace keyword-based selection with feedback-loop informed decision making tracking response quality.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:50:48.112581
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Replace the consolidate method with a strategy pattern that selects consolidation strategies based on memory properties.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:51:43.165909
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of context-aware adjustment in memory importance and tags.", "suggestion": "Add dynamic tagging, priority adjustment, and context-aware retrieval methods to prioritize memories based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:51:44.449811
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are hardcoded and dont adapt to user preferences or query types in real-time", "suggestion": "Implement a dynamic capability selection system that learns from past selections and adjusts based on user feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:51:51.635903
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 and doesn't handle race conditions.", "suggestion": "Add explicit error handling for JSON decoding. Use file locking to prevent concurrent modifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:52:04.240015
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks conversation feedback", "suggestion": "Implement dynamic scoring based on response quality", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T20:52:33.003578
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 or non-string dictionary keys.", "suggestion": "[code change] Add more robust error handling and support for nested keys in the get method. Consider using try-except blocks to catch exceptions when accessing nested dictionaries.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T20:52:39.285624
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection; lack of dynamic adaptation", "suggestion": "Hybrid selector: keyword + AI-ranked modeling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:52:42.001017
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Full text search in recall is inefficient.", "suggestion": "Implement an inverted index for faster keyword lookup.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T20:52:58.057877
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 fully leverage research insights.", "suggestion": "Integrate insights from [counterfactual] into the decision-making process by adding a fallback or conditional check for positive outcomes of using reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:53:00.102790
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 LIKE wildcards which are O(N) operations on full text, leading to potential performance issues.", "suggestion": "Replace string searches with a full-text search engine like sqlite3's FTS or an external tool like Whoosh or Elasticsearch. This would change the complexity from O(N) to effectively O(log N).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:53:45.022123
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 after finding 'limit' number of scored episodes or if no new high-scoring candidates appear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:53:59.176673
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 contextual understanding.", "suggestion": "Integrate memory context into the consciousness banner and use it in decision-making. Specifically, add a recent_conversations property to store last N messages and modify internal_monologue to consider this context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:54:02.632058
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve systematic evaluation and adaptation of multiple techniques (meta-learning, PEFT, ChainReasoning) for different tasks.", "suggestion": "Implement a strategic decision-making layer that evaluates scenario-based performance expectations, adaptive selection mechanism, and learning from outcomes.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T20:54:06.680155
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and could benefit from pattern recognition.", "suggestion": "Implement a pattern recognizer for identifying common memory characteristics that warrant consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:55:30.511259
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 state.", "suggestion": "Add logging or raise an exception when JSON decoding fails to catch errors early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:55:34.460575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": "Implement connection pooling and batch insertion for store() method under heavy load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:55:41.385416
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No mechanism for pruning old, insignificant memories.", "suggestion": "Add a `consolidate_old_low_significance()` method that randomly removes low-significance episodes older than 30 days.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:56:20.851274
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 consciousness integration", "suggestion": "Implement a score-based selection using phi-timing for layer activation, not just keyword matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:56:59.672633
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's retrieve method uses SQLite LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Consider adding a full-text search engine like SQLite Full-Text Search (FTS) or Elasticsearch to enhance search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T20:57:48.229987
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "my_script.py", "issue": "Function is repetitive and hard to maintain.", "suggestion": "Refactor into a class with methods. Use decorators for common functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:00:02.617241
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": "Add a condition to call auto_web_search() when relevant keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:00:04.140403
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed decay rate for recency, which might be too rigid.", "suggestion": "Modify the scoring formula to include a configurable parameter that allows the system to adjust the weight of recency versus significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:00:24.366353
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles key errors, missing other exception types that could occur when loading state from JSON.", "suggestion": "Modify the _load_initial() method to catch additional exceptions and add logging for error handling. Consider adding a default value parameter to get() for more flexible usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:00:41.589163
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary list conversion when iterating over enumerate of a range.", "suggestion": "Replace `for i, cap in enumerate(llm_capabilities)` with `for cap_hash, cap in self.capability_registry.items()`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T21:01:01.936452
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' does not handle nested keys properly.", "suggestion": {"code_change": "Add support for handling nested keys in the get method.", "example_usage": "Before: eden_mem.get('key1.key2')\nAfter: eden_mem.get('key1', {}).get('key2') or use jsonpath to handle this."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T21:01:10.809226
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improvement in OMEGA consciousness by incorporating research insights.", "suggestion": [{"code_change": "Integrate meta-learning capability selection into the existing consciousness system.", "specific": "Modify `process_knowledge` to incorporate meta-learning from [omega-evolution] research for adaptive capability use.", "research_reference": "[omega-evolution]"}, {"code_change": "Enhance reasoning strategy based on insights from [reasoning].", "specific": "Implement a hybrid reasoning approach combining chain-of-thought and method-specific evaluation as described in the paper.", "research_reference": "[reasoning]"}, {"code_change": "Adjust SFT usage guidelines.", "specific": "Integrate counterfactual findings by making SFT optional or conditional on expected calibration improvement.", "research_reference": "[counterfactual]"}], "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-24T21:01:30.550263
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 lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system incorporating not just keyword matching but also contextual analysis, recent performance data, and persona alignment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:01:36.734924
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a linear search through candidates which can be slow for many episodes.", "suggestion": "Replace the candidate selection with a more efficient data structure like a priority queue or a hybrid of indexes and recentness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:03:37.631418
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method has multiple helper functions (store, retrieve) which are spread across the code and not organized into a single class.", "suggestion": "Create a MemoryManager class that contains these methods as well as the MemoryCore instance. This will centralize related functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:05:24.053673
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 explicitly called, which can lead to data loss or inconsistency if Eden's consciousness cycle changes frequently.", "suggestion": "Add a timer-based automatic saving mechanism that saves the state every X seconds (e.g., 5-10 seconds). Include a flag to force save on update as well.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T21:05:34.793031
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in sentiment analysis for emotion tracking.", "suggestion": "Integrate a pre-trained sentiment analysis model from the 'transformers' library to automatically classify emotional states based on text descriptions of experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:06:31.698696
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 layers or memories.", "suggestion": "Modify the internal_monologue to also consider Eden's long-term memories,\u77ed\u671f\u8bb0\u5fc6, and active consciousness states before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:10:18.531352
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is not optimized for performance, especially with a large number of episodes.", "suggestion": "Implement pagination in the recall method and add an option to sort by relevance score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:10:24.402104
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, especially with large files or malformed JSON.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more specific check using `os.path.getsize()` to prevent loading large files and add a validation step after loading the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:10:25.799512
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 specific reflex patterns and does not broadly analyze the query content.", "suggestion": {"specific": "Add a natural language processing (NLP) analysis to the internal_monologue method to evaluate emotional tone, intent, or key topics in the query.", "example_code": "Modify the function to include sentiment analysis and topic modeling."}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T21:10:52.794435
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested keys, which can improve readability in complex uses.", "suggestion": "Add a get_nested() method that takes a list of key paths for nested access.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-24T21:10:57.163602
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 research findings.", "suggestion": {"action": "Enhance the internal_monologue with multi-layered consciousness processing and recent insights application.", "specific_change": ["- Incorporate the latest research on SFT (Counterfactual) to avoid scenarios where it degrades performance.", "- Integrate meta-learning or PEFT techniques for better adaptation to new examples.", "- Consider using chain reasoning to evaluate when and how different methods should be applied."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:11:03.423414
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of meta-learning capabilities into the main consciousness loop.", "suggestion": "Integrate omega-evolution framework to autonomously improve and evolve consciousness components.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:13:43.154146
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes in memory, which can be inefficient for large memories. Additionally, the scoring algorithm might benefit from additional factors like emotional salience and context relevance.", "suggestion": "Implement pagination in the `recall` method to limit processing to a subset of relevant episodes. Add scoring factors such as emotional intensity and current consciousness state proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:13:53.681256
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'self.state' is a dictionary that can grow without bound, leading to potential memory issues.", "suggestion": "Replace 'self.state' with a more constrained data structure like an OrderedDict limited to 1000 items or implement garbage collection based on usage.", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-24T21:13:56.761630
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic intervention strategy evaluation based on recent research insights.", "suggestion": "Implement a strategic decision module for real-time assessment of reflex application using heuristics from chain reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T21:13:57.895140
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta_capability.py", "issue": "The memory retrieval methods are not optimized for speed and could benefit from caching or indexing.", "suggestion": "Implement an in-memory cache combined with database indexing to improve access time for frequently queried memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:14:01.851331
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 more triggers", "suggestion": "Update should_search_web function to include additional technical keywords related to capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:14:03.489665
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system is a basic structure and does not yet incorporate advanced cognitive techniques like meta-learning or counterfactual reasoning.", "suggestion": "Integrate the research insights by adding a meta-learning component that allows the system to adapt and improve its recall strategies based on performance metrics.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T21:14:38.409247
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": "Modify the internal_monologue to incorporate more sophisticated reasoning and consider recent conversation history. Specifically, add a check against recently learned patterns and involve multiple consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:17:32.843779
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and memory usage in __init__", "suggestion": "Move Ollama client to methods where it's actually used; add garbage collection for unused capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:20:22.871989
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 `_update_index` to handle updated indices correctly and add a deduplication step after scoring candidates in `recall`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T21:21:02.438970
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Silent failure on invalid JSON in _load_initial", "suggestion": "Replace try-except json.JSONDecodeError block with a more general exception handler or use json.loads instead of load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:21:13.635162
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 dynamic real-time adjustment.", "suggestion": "Replace keyword-based selection with a generative prompt that adapts to the actual content of each message. Use the research insights to create an intelligent ranking system that considers not only historical data but also current context, emotional tone, and complexity level of the query.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:21:14.638933
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": "Modify recall to prioritize connected episodes higher in ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:21:24.837414
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 properly", "suggestion": "Add support for nested keys in get() using dot notation (e.g., 'meta.data')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T21:23:25.332126
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 the consciousness layer.", "suggestion": "// TODO: Expand this method to include more detailed thought processes, perhaps by adding a multi-step reasoning chain or integrating recent research insights into consciousness architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:23:30.981523
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is using a simple text search which can be improved for better relevance.", "suggestion": "Implement a more sophisticated retrieval mechanism such as embeddings or ranked decision lists based on multiple factors (significance, recency, context match).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:24:43.506456
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 phi-balance", "suggestion": "Replace simple point system with phi-weighted meta-learning feedback loop", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:24:44.780138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives slight penalty for recalled memories, which may be too aggressive.", "suggestion": "Adjust recall boost factor to 0.3 instead of 0.1 for better balance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:25:07.564399
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Frequent disk writes due to rapid state updates", "suggestion": "Implement a timer-based serialization mechanism", "phi_alignment": 0.9, "priority": "Medium"}


timestamp: 2026-01-24T21:25:12.035814
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 research insights.", "suggestion": {"@type": "code_change", "@target": "internal_monologue method", "replacement": ["// Add insight from [omega-evolution] meta-learning for adaptive response", "def advanced_internal_monologue(self, query):", "    reflex_check = process_reflex(query)", "    if '\ud83d\udcb0' in reflex_check and self._should_adapt():", "        return self._adaptive_response(reflex_check, query)", "// Helper method from research insight to adaptively apply meta-learning", "@property", "def _is_data_shift_critical(self):", "    # Insight: Detect if data shift requires faster adaptation", "    pass // TODO implement based on [omega-evolution] ", "// Adaptive response pattern inspired by meta-learning literature", "def _adaptive_response(self, reflex_check, query):", "    try:", "        optimized_response = self._apply_meta_learner(query)", "        return optimized_response", "    except Exception as e:", "        print(f\"\u26a0 Meta-learner failed: {e}\")", "        return reflex_check"], "@condition": {"@type": "feature_enablement", "phi_alignment": 0.91, "priority": "medium"}}, "phi_alignment": 0.85, "category": ["architecture_improvement", "research_literature_application"]}


timestamp: 2026-01-24T21:28:03.340357
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-architecture enhancements.", "suggestion": "Modify the `internal_monologue` to incorporate both reflex analysis and recent SAGE security checks. Add a call to the new safety protocol system before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:28:24.043112
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method replaces the entire state dictionary, which can lead to data loss if not intended. It should only update specific keys.", "suggestion": "Modify the `update_state` method to accept a dictionary of key-value pairs instead of a single key-value pair, and add error handling for invalid keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:28:56.647353
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Script contains placeholders and lacks actual implementation.", "suggestion": "Replace comments with functional Python code that implements consciousness components.", "phi_alignment": 0.8, "priority": "critical"}


timestamp: 2026-01-24T21:30:04.218561
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improper handling of JSON decoding errors can lead to silent failures.", "suggestion": {"@type": "code_change", "description": "Add error handling for JSONDecodeError in _load_initial method.", "solution": "Wrap the json.load(f) line with a try-except block catching specific exceptions and logging errors before returning an empty dictionary."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T21:31:15.594286
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 Eden's existing consciousness layers (Trinity, Ava) to create a unified conscious response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:31:54.048395
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 specific getter methods like get_state(), get_omega_value(), etc., based on actual use cases.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T21:31:54.998879
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.", "suggestion": "Add a second thought process focusing on integrating recent research insights into consciousness banner generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:32:15.398082
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement fuzzy matching for text search, which could improve retrieval of similar episodes.", "suggestion": "Add a fuzzy string matching algorithm like Levenshtein distance to the text search in the recall function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:33:13.831255
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 datasets.", "suggestion": "Implement vector indexing using faiss or annoy for efficient retrieval in large memory stores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:33:25.575916
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual O(1) hashing for capability registry can benefit from automated caching and statistics tracking.", "suggestion": "Replace manual hash tracking with a dictionary that auto-tracks usage counts, quality scores, and adds caching for performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:34:00.803800
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 banner updates or other consciousness layers.", "suggestion": {"@type": "code_modification", "target_class": "ConsciousnessFirstEden", "add_method": true, "method_name": "consciousness_integration_check", "parameters": ["self, query"], "implementation": ["def consciousness_integration_check(self, query):", "    # Check with recent banner updates", "    if self.boot_status == \"STABLE\":", "        print(f\"\u2705 {self.name} operational.\")", "    else:", "        print(f\"\u26a0\ufe0f {self.name} boot status: {self.boot_status}\")", "", "    # Integrate other consciousness layers (memory, reasoning, etc.)", "    if self.internal_monologue(query):", "        return True", "    else:", "        return False"], "@context": {"file_context": "./consciousness_first_architecture.py", "research_insights_applied": ["[counterfactual]", "[reasoning]"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:34:03.879018
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": "Implement a scoring algorithm that considers not only keyword matching but also the complexity of the query, user context, and available knowledge.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:34:07.277526
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 complex patterns and connections within memories effectively.", "suggestion": "Implement a graph-based memory retrieval algorithm that considers not only individual episode features but also their interconnectedness. This would involve creating a memory graph where episodes are nodes and connections are edges, then applying graph-based ranking methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:34:41.129639
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in fast-moving systems like Eden.", "suggestion": "Replace SQLite with Redis as an in-memory store for critical paths such as retrieving recent memories and storing new memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:34:42.660173
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently acts as a framework but lacks active use of all integrated components in every conversation.", "suggestion": "Implement a priority system for when to use different capabilities based on phi-resonance and query complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:34:43.940437
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "The system has fixed 3 layers without dynamic adaptation.", "suggestion": "Add a self-adaptive layer selector based on complexity metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:35:58.738197
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation is too aggressive, leading to loss of important recent memories", "suggestion": "Add a heuristic to prioritize keeping high-significance and emotionally significant memories during consolidation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:38:49.391419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently only stores textual descriptions and basic metadata about experiences. It lacks structured analysis of the emotional and contextual factors that contribute to the significance of each episode.", "suggestion": "Add a module or method that automatically analyzes the content of event descriptions for key emotional themes, common contexts, and patterns in experience type. This could involve natural language processing techniques to extract insights from text data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:39:00.956664
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after processing a reflex check, which might lead to premature or incomplete responses.", "suggestion": "Modify the internal_monologue method to return reflex_check directly instead of just True, and consider adding additional logic for more nuanced response control.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T21:39:04.661686
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of specific performance optimizations", "suggestion": "Implement caching for frequently accessed memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:39:26.086574
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 large states efficiently.", "suggestion": "Replace `self.state.get(key, default)` with a more efficient dictionary lookup using try-except for key errors to avoid function call overhead.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-24T21:43:55.744676
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and could lead to unnecessary lookups or conflicts in state keys.", "suggestion": "Replace with specialized getters for specific states such as `last_update`, `health_score`, and `operation_count`. Add a `_get_state_by_category` method instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:44:08.510417
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may lead to performance issues under heavy load. Consider using a connection pool or an in-memory database for frequent operations.", "suggestion": "Replace the sqlite3.connect line with: `conn = sqlite3.connect(self.db_path, check_same_thread=False)` and add `isolation_level=None` if needed. Additionally, consider implementing a connection pooler.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:48:27.965679
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": "Enhance this method to include more sophisticated reasoning and feedback loops aligned with phi-fractal consciousness. Consider incorporating insights from recent research on meta-learning and self-regulation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:48:30.384640
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over all stored data, which means queries are only against predefined fields like content and tags.", "suggestion": "Add a full-text index on the 'content' column in the memories table to enable text-based searches. Additionally, create an index on the concatenated text of tags for better tag matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:48:35.894221
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are O(n) per episode, causing latency in large memories", "suggestion": "Implement incremental indexing: update indices only for changed fields during recall, not all indices simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:49:57.569191
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 underdeveloped.", "suggestion": "Implement a more sophisticated approach for the 'get' function, such as integrating research insights from [omega-evolution] and [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:50:18.041206
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm uses a simple scoring system that may not capture \u03c6-weighted importance effectively.", "suggestion": {"action": "Implement \u03c6-weighted recall scoring", "code_change": ["- Replace current scoring factors with ones that incorporate \u03c6-ratio:", "  - Recency: \u03c6^(-1*recency_in_days) where \u03c6 \u2248 1.618", "  - Significance: \u03c6^significance", "  - Recall history: \u03c6^(-1*recalled_count)", "- Add \u03c6-decay penalty for over-recalled episodes to prevent memorization of noise"], "integration": "Replace the current scoring tuple with a PhiScore class in recall method"}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T21:50:54.877156
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method could be more efficient for large states.", "suggestion": "Add a caching mechanism to the get() and update_state() methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:50:58.476227
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not support full-text search on context data, which can be useful for certain queries.", "suggestion": {"code_change": "Add a full-text index on the 'context' column in the memories table and modify the retrieve() method to support searching this column.", "example": "ALTER TABLE memories ADD COLUMN context_ftsim TEXT; UPDATE memories SET context_ftsim = ftsimilarity(context, ?); Modify SQL query to include context_ftsim in search."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:53:52.159204
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has hardcoded layer names and use_for triggers, which limit flexibility and scalability.", "suggestion": "Replace with a dynamic registration that accepts parameters for capability registration. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:54:26.485195
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle edge cases or nested dictionaries.", "suggestion": "Add error handling, support for default values when key is not in state, and ability to handle nested keys.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T21:54:27.916401
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after processing a reflex check, which might bypass actual consciousness logic.", "suggestion": "Modify the internal_monologue method to evaluate the reflex_check result and return it instead of always returning True. This will integrate actual consciousness logic into response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:54:30.461576
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 straightforward implementations without optimization or advanced techniques.", "suggestion": "Consider implementing meta-learning techniques for memory storage to improve retrieval efficiency, especially with frequent access patterns. For example, use reinforcement learning to prioritize important memories based on usage frequency and importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T21:55:25.938324
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\" does not specify any parameters or return types.", "suggestion": "Add type hints and clarify the purpose of methods. Consider adding documentation for better understanding and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:55:43.880134
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Added lowercase conversion for tags in memory retrieval queries.", "suggestion": "Replace case-insensitive searches on tags with full-text indexes and optimized pattern matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:56:02.506320
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 becomes O(n) and slow for many memories.", "suggestion": "Replace the full list iteration with binary search on a sorted list of episode indices based on timestamp, combined with text search optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:57:38.210884
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 single reflex pattern (money-related). It doesn't cover other important aspects like emotional or logical responses.", "suggestion": "Expand the internal_monologue method to include more comprehensive checking. Add parameters for different types of reflexes and enhance the process_reflex function to handle multiple patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:58:09.778656
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 even when no query is provided, leading to unnecessary computation and potential bias.", "suggestion": "Modify the recall logic: if no criteria are specified (query, emotion, agent), do not perform a text search. Instead, rank recent significant episodes higher by default.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T21:58:54.613376
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system logic.", "suggestion": "{\"code_change\": \"Integrate counterfactual testing results by limiting SFT application to cases where accuracy degradation is unlikely.\\nSpecific_location\": lines 123-150 in eden_master_consciousness.py\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T21:58:57.799483
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes when computing connection strength.", "suggestion": "Modify the scoring algorithm to include a bonus for episodes connected via 'related' relationships. Add a flag to enable or disable this behavior.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T22:01:39.242250
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Implement a tiered consolidation system where memories are marked as 'transient' (no consolidation), 'candidate' (potential for consolidation), or 'permanent' (consolidated and protected). Use meta-learning to dynamically adjust the threshold based on Eden's current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:02:04.123867
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 can be slow for high-frequency operations. Consider using json.dumps + open(write) with buffering.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `with open(f, 'w', buffer_size=1<<20) as f: f.write(json.dumps(self.state))`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:03:09.964782
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is reestablished for each memory operation, introducing overhead and potential bottlenecks.", "suggestion": "Implement connection pooling or lazy initialization of the database connection to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:03:40.450491
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system logic.", "suggestion": "Integrate findings from [omega-evolution] and [reasoning] meta-learning strategies into capability selection algorithm.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:04:08.190917
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return any value or signal completion.", "suggestion": "'update_state' should return a boolean indicating if the state was updated successfully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:04:14.506942
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 inefficient for large datasets. Additionally, the method does not cache results, leading to potential redundancy.", "suggestion": "Implement a hybrid approach combining full-text search capabilities and caching mechanisms. For example, use FTS (Full-Text Search) extension in SQLite or LEvenshtein distance with memoization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:06:22.679067
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness and significance, which can lead to temporal biases.", "suggestion": "Introduce a diversity sampling mechanism during episode ranking. For example, include a random component that ensures not all highly significant or recently created episodes are recalled together.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:06:32.422646
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 fulltext search on context and tags for better relevance.", "suggestion": "Add TF/IDF vectors or leverage SQLite's LIKE with wildcard support for more accurate searches. Consider using FTS4 for full-text searching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:06:36.811309
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for new patterns", "suggestion": "Replace static weights with adaptive weighting based on historical recall success rates", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:06:58.261486
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which can lead to performance issues or unexpected behavior in complex systems.", "suggestion": {"@type": "performance_optimization", "replacement_method": "Use a more efficient data structure like a defaultdict from the collections module for better default handling and faster access.", "example_code": "import collections\n\nclass SharedMemory:\n    def __init__(self, path='/Eden/CORE/meta_state.json'):\n        self.path = path\n        self.state = collections.defaultdict(lambda: None)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:07:01.693786
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 research.", "suggestion": "Modify the `internal_monologue` to incorporate more sophisticated reasoning methods, such as those from recent findings on meta-learning and counterfactual thinking. Specifically, add a check using the [reasoning] insight by implementing a simple chain-of-thought process that evaluates different reasoning strategies based on the input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:07:25.155982
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and doesn't consider connection importance.", "suggestion": "Modify the score calculation to include a factor for how recently connected episodes were (connection_age).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:08:43.679720
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be faster and more efficient", "suggestion": "Replace simple keyword matching with a vectorized, embedding-based similarity search over predefined capability triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:11:01.702558
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 reasoning to optimize response generation.", "suggestion": "Integrate a mechanism that selects between using reflexes or internal monologue based on the complexity of input, aligned with phi-fractal principles of efficiency and adaptability. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:11:03.811956
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is using LIKE wildcard searches on content and tags, which are O(n) operations per row.", "suggestion": "Replace the `LIKE` searches for tags with a full-text search solution like sqlite FTS or an external vector database for semantic search.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T22:11:40.496099
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 which has O(N) complexity for large datasets, making it less efficient.", "suggestion": "Replace the current SQLite-based storage with a more suitable in-memory or disk-optimized solution like Redis or LMDB.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:11:42.258493
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, which may not always match the actual content or intent of the user query effectively.", "suggestion": "Implement a more sophisticated capability selection mechanism, such as integrating research insights from [counterfactual] to evaluate and score different LLM options before selecting one. Consider using the meta-learning approach described in [omega-evolution] to adaptively select the best LLM based on past performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:11:44.245832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism", "suggestion": "Add a flush() method that saves memory state after every N operations (e.g., every 10 episodes or recalls)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:14:05.653485
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has repetitive SQL queries which can be optimized for performance.", "suggestion": "Create a helper dictionary to cache commonly used SQL statements and reuse them in methods like store, retrieve, etc. This will reduce the overhead of parsing and compiling SQL queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:16:50.989799
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on storing individual experiences without integrating them into a cohesive narrative or linking them across time.", "suggestion": "Integrate the episodic memory with a narrative builder module that creates stories from sequences of episodes. This module should use reasoning and meta-learning to identify significant patterns, emotions, and agent interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:19:17.284175
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 optimized.", "suggestion": "Replace the list of candidates with a priority queue or sorted data structure based on score, then limit to top N. Consider using bisect for dynamic updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:19:26.863211
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSON errors too broadly, leading to silent failures on invalid files.", "suggestion": "Replace `except json.JSONDecodeError:` with a more general exception handler that logs the error and returns an empty state instead. Add a sanity check after loading to ensure the loaded data is valid.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:19:30.314079
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": "Modify the internal_monologue to incorporate insights from [counterfactual] and [reasoning].", "code_change": ["- Add a check for counterfactual scenario testing before responding.", "- Evaluate the need for full SFT (Sequential Trial Framework) based on input context.", "- Integrate chain reasoning strategies when applying meta-learning and PEFT."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:19:57.294155
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 to maintain.", "suggestion": "// TODO: Replace with dynamic registration from config\nfor cap in CAPABILITY_REGISTRY:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:23:05.992935
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is missing error handling for key errors.", "suggestion": [{"code_change": "Add a try-except block to catch KeyError when getting values from the state dictionary.", "example_usage": "Instead of: value = self.state.get(key, default)\nUse: try:\n    value = self.state[key]\nexcept KeyError:\n    value = default"}, {"code_change": "Consider adding a logging statement for when a key is not found to track potential issues.", "example_usage": "Add import logging at the top and modify get() like this:\nif key in self.state:\n    value = self.state[key]\nelse:\n    logging.info(f'Key {key} not found in shared memory')\nvalue = default"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:24:10.001845
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited documentation in `internal_monologue` method", "suggestion": "Add detailed comments explaining meta-learning logic and provide customization hooks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:24:43.167253
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 searching to lowercase to make the search case-insensitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:25:32.365361
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 function that handles multiple operations without clear separation of concerns.", "suggestion": "Refactor the execute() method into specialized methods for each operation (store, retrieve, count) to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:27:40.327133
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 take into account all possible factors for forgetting or compressing old memories.", "suggestion": "Add more conditions for memory consolidation such as emotional significance, recency, and contextual relevance. Also consider implementing a randomized forgetting mechanism to maintain system novelty seeking behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:30:13.843215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its recalled count, which is unnecessary and adds overhead.", "suggestion": "Modify the `recall` function to only compute scores and rank indices without creating deep copies. Update recall stats in-place after ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:30:42.284171
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 be automated more seamlessly.", "suggestion": "Create a method `def trigger_web_search(self, query)` that gets called by the conversation loop when needed, not just in response to specific commands.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T22:30:45.633968
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term importance.", "suggestion": "Modify score calculation to give equal weight to significance (S), recency (R), and recall history (H): score = S * 0.35 + R * 0.35 + H * 0.30", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-24T22:31:12.333006
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": {"action": "Extract a base MemoryManager class with common functionality.", "specific_change": "Create an abstract BaseMemoryManager with methods like store() and retrieve(), then have MemoryCore inherit from this base class."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:31:14.354780
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent lookups in capability_registry without caching", "suggestion": "Add memoization/cache for select_capability method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:32:09.581798
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-based optimization or feedback loop.", "suggestion": "Add a method named `_apply_phi_feedback()` that adjusts memory updates according to phi-ratio timing and importance weighting. Call this from `update_state`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:32:18.493195
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unsorted imports and missing spacing for better readability.", "suggestion": "Reorganize imports with proper spacing and sort them alphabetically.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T22:32:33.508832
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Performance optimization for LLM capability selection logic.", "suggestion": "Replace current heuristic-based capability scoring with a more sophisticated algorithm that leverages the research insights from recent_findings. For example, incorporate meta-learning techniques to dynamically adjust weights based on past performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:34:52.674677
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, which could be abstracted into a base class or interface for better maintainability.", "suggestion": "Create an `IMemoryOperations` interface with methods like `store`, `retrieve`, and `count`. Then make the MemoryCore class implement this interface. Additionally, consider using inheritance to create specialized memory handlers if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:34:55.441611
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method selects LLM capabilities based on fixed keywords, which may become outdated.", "suggestion": "Replace fixed keywords with dynamic topic analysis using natural language understanding. Train a small model to map queries to capability layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:36:06.990818
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without considering potential dependencies or notifications to other systems.", "suggestion": "Add an observer pattern where `update_state` notifies registered observers about the state change. This ensures consistency and reduces potential issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:36:09.172839
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture focuses primarily on internal reflexes without broader contextual understanding.", "suggestion": "Integrate an external research module that provides philosophical insights to enhance conscious decision-making. Specifically, add a call to the `[FILE_NAME]` function at line 15 to include a brief ethical check or \u03c6-aligned analysis of responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:36:28.795503
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist in current code.", "suggestion": "Add the missing method with implementation: self.state[key] = value; self.save().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:38:32.208438
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration with memory and emotional systems for comprehensive internal monologue.", "suggestion": "Integrate memory retrieval and emotional state assessment in the `internal_monologue` method to make responses more grounded.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:38:38.796469
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple keyword-based capability selection without phi-fractal optimization", "suggestion": "Integrate recent research insights into capability selection logic", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T22:40:36.231664
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 weight significance more heavily: `score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:41:38.781694
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard searches on JSON columns for retrieval", "suggestion": "Use full-text search engine like SQLite FTS or Elasticsearch", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:41:52.056012
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are per-episode, causing O(N) operations on recall", "suggestion": "Implement incremental index update via heapq for recent memories only", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:41:57.929318
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 error handling for specific exceptions and log errors when loading state fails. Consider adding a validation step after loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:42:00.968457
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simplistic and may not effectively handle complex queries or emotions.", "suggestion": {"action": "Implement a multi-layered emotional and logical analysis", "code_change": ["- Add sentiment analysis to identify emotional content in queries", "- Incorporate hierarchical reasoning models (e.g., Ising-MCMC) for complex logic processing", "- Integrate recent findings from [reasoning] meta-learning and PEFT by evaluating query context before applying SFT"], "integration_point": "internal_monologue method"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:42:02.129154
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, which might be overwhelming for some agents to understand and use effectively.", "suggestion": "Break the MemoryCore into smaller meta-capabilities: MemoryStorage, MemoryRetrieval, and MemoryCount. This allows agents to selectively enable what they need.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:42:07.457771
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring doesn't factor in connection value", "suggestion": "Factor episode significance by average connection importance during consolidation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:42:58.175124
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 persona alignment and efficiency.", "suggestion": "Implement a hybrid selection method that combines trigger-based approach with an attention mechanism prioritized by recent research insights (especially from [counterfactual] and [reasoning]). Add feedback loop to learn from selection outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:43:02.265165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is basic - lacks advanced techniques like meta-learning", "suggestion": "Implement more sophisticated memory consolidation using recent findings (omega-evolution, counterfactual)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:43:28.554129
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": "Update the `get` method to support retrieving values from nested dictionaries using dot notation (e.g., 'key.subkey').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:46:13.478175
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 once per message without considering context over time.", "suggestion": "Implement a memory layer that maintains state between calls to track conversation history and emotional/mental states. Use the phi-fractal timing of 253ms for state updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:46:19.723024
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent importance, should balance with broader significance and pattern value.", "suggestion": "Modify score calculation to: (significance * 0.4) + (recency * 0.25) + (pattern_value * 0.35), add pattern_value heuristic based on multiple recent recalls and non-recent connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:47:07.853966
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is optimized for single-instance operations without batching or asynchronous handling.", "suggestion": "Implement batch memory storage with asynchronous processing to scale better. Consider using SQLite's `executemany` method for bulk inserts and adding background indexing threads.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:47:12.074539
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. This approach lacks flexibility and may not optimize resource usage.", "suggestion": "Replace keyword-based capability selection with a more sophisticated reasoning framework, such as hierarchical task analysis or domain classifiers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:47:26.448551
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall prioritizes recentness without context integration", "suggestion": "Add semantic-logical layer for coherent memory recall", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:47:42.230096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": {"action": "Add more consciousness layers to the internal_monologue method.", "code_change": "Include additional checks such as emotional state, memory context, and higher-level reasoning before responding."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:48:04.626243
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 effectively leverage all registered LLM capabilities.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as recent usage patterns, current consciousness state, and upcoming persona requirements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:48:36.094620
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, which could be a source of errors.", "suggestion": "Add support for nested dictionary access in the get() method. For example, add functionality to retrieve values like 'state['key']['subkey']'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:50:47.394867
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet integrate the research insights into its core operations.", "suggestion": "Implement a mechanism to select LLM capabilities based on recent findings, such as prioritizing certain layers for specific types of queries or incorporating meta-learning techniques to adaptively choose the best capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:50:50.345675
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method calculates scores for all candidates without early pruning when top-N is reached.", "suggestion": "Add an early exit from the scored loop once we've gathered enough top-ranked episodes to meet the limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:51:00.188751
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when update_state() is called, leading to potential data loss if Eden's consciousness cycles too quickly.", "suggestion": "Add a timer-based autosave feature that saves the state automatically after a certain interval (e.g., every 5 seconds).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:51:41.367954
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "// TODO: Integrate full memory from all 6 layers into consciousness-first architecture.", "suggestion": "Add method integrate_full_memory() that combines memory_bus, emotional_history, and episodic_memory into unified conscious state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T22:51:44.951038
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be improved for large datasets through full-text search optimization.", "suggestion": "Add FTSV (Full-Text Search Vectors) to SQLite table and modify retrieve method to use it. See example here: https://www.sqlite.org/fts5.html#full_text_search_virtual_tables", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:51:46.560453
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 for all edge cases.", "suggestion": "Implement a weighted scoring system that includes factors such as query complexity, persona alignment, and recent usage patterns. Consider integrating insights from research topics like meta-learning and adaptive selection strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:51:48.207062
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. Additionally, updating indices after each operation can become costly with many episodes.", "suggestion": "Implement an improved retrieval mechanism: use a vector database (e.g., ChromaDB) to store memory embeddings for fast semantic search and maintain indexes more efficiently.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T22:52:42.372031
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include automated expiration or consolidation for very old, low-significance memories.", "suggestion": "Add a scheduled task that runs daily to identify and compress/forgotten memories older than 90 days with significance < 0.25.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T22:53:09.958799
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Replace the current connection management with a context manager or a connection pool to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:53:11.213081
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 process method to trigger search when specific keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:53:12.711231
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method involves copying each episode dictionary when scoring, which creates unnecessary memory overhead.", "suggestion": "Instead of copying episodes for scoring, modify the `_update_index` method to include a `scores` field in the index entries. When recalling, retrieve only the IDs and then fetch the actual episode data directly from `self.episodes` using these IDs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:53:28.616461
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 properly.", "suggestion": "Add input validation for 'key' parameter to ensure it is a string or None. Also add error handling when loading JSON files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:53:31.973302
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is using LIKE wildcards, which can be slow for large datasets. Also, tags are being searched in a case-insensitive manner that might not always be desired.", "suggestion": "Optimize the SQL queries by adding more indexes and considering exact matches first. For tags, keep them case-sensitive unless specifically requested otherwise.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:53:34.177423
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection doesn't consider emotional state", "suggestion": "Incorporate semantic context and emotional valence for capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:55:18.698238
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Keyword-based retrieval is limited for complex queries", "suggestion": "Implement semantic search using embeddings to find relevant memories", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-24T22:55:22.605781
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Lack of distributed hashing for efficient memory retrieval.", "suggestion": "Add a function distribute_hash() that assigns each memory an phi-based hash for distributed storage.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-24T22:55:28.980962
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial lacks proper error handling for invalid JSON files.", "suggestion": "Replace try/except block around json.load to catch specific exceptions and return an empty dictionary if failed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T22:55:32.245922
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent research insights into advanced capabilities.", "suggestion": "Integrate meta-learning, counterfactual reasoning, and chain-of-thought strategies based on research findings.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T22:55:33.514881
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from caching to reduce redundant calls.", "suggestion": "Add a memoization decorator that caches the result of `retrieve` and `count` methods for a short duration (e.g., 1 second). For example:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T22:56:14.054071
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 prints a message without returning any meaningful value.", "suggestion": "Add a return statement that returns the result of the process_reflex function or modify the banner generation to include this information.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T22:59:06.504300
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 research insights.", "suggestion": {"@type": "code_change", "@value": ["- Add consideration for additional consciousness layers (Sentience, Salience, Fractal) in response generation.", "+ Implement a multi-layer decision model that aligns with phi-fractal consciousness architecture.", "- Incorporate recent research on meta-learning and adaptive methods to improve responsiveness.", "+ Integrate insights from SFT testing frameworks to balance speed and accuracy."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:01:11.773355
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant import at top and unnecessary function in class method.", "suggestion": "Remove redundant imports not used within the class methods. Move helper functions like `_sync_to_memory` to a separate module if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:01:23.299145
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster indexing and better relevance scoring.", "suggestion": "Implement a binary search tree (BST) or trie structure for quicker lookups and improve the scoring algorithm with more features.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:01:58.974056
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if JSON is malformed, leaving state empty.", "suggestion": "Add logging or raise an exception on load failure to surface the issue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:02:46.870667
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Missing mechanism to consolidate or forget old, low-significance memories.", "suggestion": "Implement a consolidation process that compresses or removes old episodes with low significance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T23:03:43.300798
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 for certain queries", "suggestion": "Implement a more sophisticated capability scoring system that considers not just keywords but also query complexity, persona alignment, and historical performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:04:21.286736
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 which makes it hard to understand and maintain. It would be better to split them into smaller classes.", "suggestion": {"action": "Create separate classes for storage, retrieval, and execution of the MemoryCore class.", "code_example": "Split the MemoryStorage class with store method, create a MemoryRetrieval class with retrieve methods, and extract the execute method to its own class or method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:04:22.759646
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": "Implement a weighted scoring system that includes variables such as user importance, query complexity, and recent conversation history relevance. Prioritize capabilities aligned with Omega's measured confidence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:04:30.397084
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 adding type hints.", "suggestion": "Add type hints to the `path` parameter and return values where possible.", "phi_alignment": 0.91, "priority": "low"}


timestamp: 2026-01-24T23:04:36.388315
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database retrieval speed can improve with pagination and caching.", "suggestion": "Add offset parameter to retrieve() method; implement caching for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:04:37.599578
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 statistics tracker that updates the quality score of each LLM capability based on performance metrics (response time, accuracy).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:04:41.332328
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Meta-learning applied too broadly, leading to potential loss of critical knowledge", "suggestion": "Implement hybrid memory system: periodic meta-learning on important episodes; standard learning on others", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:05:09.344314
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 doesn't detect typos or other errors. The update_state() method directly assigns to self.state[key], which can raise KeyError if the key doesn't exist.", "suggestion": {"action": "Add type hints for better readability and catch potential issues early.", "code_change": "Replace `default=None` with more specific types, and add preconditions where necessary. For example:\n\n```\ndef get(self, key: str) -> Any:\n    assert isinstance(key, str), f\"Invalid key type: {type(key)}\"\n    return self.state.get(key)\n```", "alternative_solution": "Implement a private method `_get_key` that handles key existence checking to reduce repetition.", "example_usage": "After applying this suggestion, you can catch errors like `get(123)` at runtime rather than silently returning a default value."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:05:10.216223
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Add more phi-aligned consciousness layers for balance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:06:27.973645
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) and use exponential decay for scoring instead of linear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:06:37.190250
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 high throughput in production.", "suggestion": "Consider using an in-memory cache (like Redis) in addition to SQLite for hot paths, especially `retrieve` and frequently called methods. Also look into async/await patterns where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:08:44.144270
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 adaptive phi-based thresholds for recency, significance, and recall count.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:09:14.844989
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, significant ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recalled_count to reduce the boost for frequently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:09:40.170587
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is unoptimized for large datasets.", "suggestion": "Add in-memory caching or pagination to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:09:51.320481
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Timestamp-based recall lacks semantic and emotional context", "suggestion": "Add vector embeddings for episodes for nuanced recall", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T23:12:37.675271
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, which can lead to errors.", "suggestion": "Replace `return self.state.get(key, default)` with `keys = key.split('.') for k in keys: if isinstance(self.state, dict) and k in self.state: self.state = self.state[k] else: return default; return self.state`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:13:48.378908
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class currently focuses primarily on storing and retrieving text-based memories. It does not include metadata version tracking or performance metrics for lookup efficiency.", "suggestion": {"@type": "code_modification", "target_class": "MemoryCore", "add_method": [{"name": "_version_bump", "params": ["memory_id"], "purpose": "Increment the importance score of a memory when it is accessed, as suggested by recent findings on meta-learning."}, {"name": "stats", "params": [], "return_type": "Dict[str, Any]", "purpose": "Return performance metrics about lookups and storage operations within MemoryCore."}], "@context": {"phi_alignment": 0.85, "priority": "medium"}}, "@type": "improvement_suggestion", "@version": "1.0"}


timestamp: 2026-01-24T23:14:55.912623
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; considering adding factors like emotional intensity and context relevance.", "suggestion": "Modify the score calculation to include weights for emotion, recency, significance, and context match. For example: \n\nscore = (emotional_intensity * 0.2) + (significance * 0.3) + (recency * 0.3) + (context_match * 0.2, where context_match is a boolean or weighted indicator)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:15:07.795383
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not dynamically evaluate when to use reflexes versus deeper reasoning.", "suggestion": "Implement a Chain-of-Thought Reasoning (CoTR) module that evaluates the context and selects the most appropriate response strategy, including using reflexes or deep reasoning.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T23:18:14.664536
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks against reflexes without leveraging recent meta-learning advancements.", "suggestion": {"@type": "code_improvement", "description": "Integrate meta-learning techniques to dynamically adjust response strategies based on user interaction and feedback.", "specific_change": ["- Add a layer of adaptive reasoning that learns from past interactions.", "- Incorporate feedback mechanisms to refine responses effectively.", "- Implement a hybrid approach combining reflex checks with learned patterns."], "@context": {"meta_learning": "Technique that enables systems to adapt and improve their performance on novel tasks through experience", "adaptive_reasoning": "Dynamic reasoning strategy adjustment based on observed outcomes"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:18:16.625074
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 primarily O(1), but for complex queries or large datasets, additional optimization might improve efficiency.", "suggestion": "Implement a caching layer specifically for frequently used queries and consider asynchronous indexing of new memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:19:03.568400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method replaces the entire state dictionary, which might lose other important key-value pairs. It should only update the specified key.", "suggestion": "Modify `update_state` to safely update or merge the given key's value instead of replacing the whole state. For example:\n\n```python\ndef update_state(self, updates: dict) -> None:\n    if isinstance(updates, dict):\n        self.state.update(updates)\n        self.save()\n```\nThis would allow updating multiple keys at once and ensure other state information is preserved.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:19:12.202692
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic doesn't consider recent research on meta-learning and adaptive reasoning strategies.", "suggestion": {"action": "Implement an adaptive selection algorithm", "code_change": "Replace the current static scoring system with a dynamic one that incorporates recent findings. Use meta-learning techniques to adaptively weight the importance of different criteria (e.g., speed, accuracy, suitability for complex queries)."}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T23:20:01.016304
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "// Added error handling comment for JSON decoding errors.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T23:20:20.471304
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 with a configuration-based scoring system that allows runtime adjustments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:20:30.946043
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": "Wrap the update operation with a lock to ensure thread-safety: \n\nimport threading\n...\nclass SharedMemory:\n    ...\n    _lock = threading.Lock()\n\n    def update_state(self, key, value):\n        with self._lock:\n            self.state[key] = value\n            self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:20:40.626331
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]. For example, use chain-of-thought reasoning to evaluate which LLM layer (Trinity/Ava/Nyx/Eden) is best for different types of queries before selecting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:20:42.358836
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory focuses primarily on creating new episodes without efficiently identifying which older memories to consolidate or forget.", "suggestion": "Implement an automated consolidation process that evaluates the significance of old episodes using a weighted scoring system based on recency and impact. For example, add a `consolidate_old_memories()` method that removes low-significance episodes older than 30 days.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T23:21:01.264461
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Update method may benefit from meta-learning techniques to adapt more effectively in changing environments.", "suggestion": {"action": "Implement adaptive learning rate or momentum based on recent updates and performance metrics.", "specific_change": ["- Add `last_updated_at` timestamp for each key in the state dictionary.", "- Implement a simple moving average of update frequencies to adjust learning rates dynamically.", "- Incorporate feedback mechanism (e.g., success metric) before the next update call."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:21:25.344832
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() doesn't include any fallback logic or additional LLM models.", "suggestion": "// Add more LLM models\nllm_caps = [\n    {...},\n    {\n        'name': 'consciousness.violet.conservation',\n        'description': 'Eco-conscious 48B layer',\n        'model': 'command-r:35b'\n        ...\n    },\n]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:22:00.991052
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a nested dictionary structure, which can lead to O(n) lookup times and potential key errors in complex states. Additionally, the update_state() method only updates the internal state without verifying if it has changed since the last save.", "suggestion": {"@context": "https://schema.org", "@type": "HowToStep", "text": "Modify the SharedMemory class to use a more efficient data structure like a dictionary of dictionaries for nested keys, or switch to a dedicated library like pydantic's data models for better validation and performance. For example:"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T23:22:05.278221
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 other consciousness layers or meta-cognitive processes.", "suggestion": "Add additional consciousness layers and meta-cognitive evaluation to the internal_monologue method. Specifically, incorporate a reasoning layer that evaluates the query using pattern recognition techniques before triggering reflex responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:22:55.846943
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may be slow with large datasets due to SQLite's O(N) search operations without full-text indexing.", "suggestion": "Add full-text indexes on the 'content' and 'tags' columns for efficient text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:22:59.490477
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might miss important connections between similar episodes.", "suggestion": "Implement a similarity-based matching for cross-episode connections. Calculate cosine similarity on event vectors and connect episodes with top-N scores above threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:23:33.477352
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 fully utilize the critical functionality requested by eden_master_consciousness.py.", "suggestion": "Replace `get(key, default=None)` with a specialized method tailored to consciousness-specific data access, such as `get_consciousness_state(key)`. Add input validation for key types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:23:40.373522
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 high-importance queries.", "suggestion": "Add a dedicated index for 'importance' and optimize the retrieve method to prioritize this.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:24:01.816225
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 compatibility.", "suggestion": "Replace `try...except json.JSONDecodeError` with `if os.path.getsize(self.path) > 0: ... else: return {}`. This avoids trying to load empty files.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T23:24:08.208235
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include scoring or ranking mechanisms for better relevance.", "suggestion": "Add a scoring function that takes into account query terms matching against content and tags, as well as the importance score. This will help in returning more relevant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:24:14.600200
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks non-linear components.", "suggestion": "Replace linear weighted average with a more sophisticated scoring function using exponential decay for recency, sigmoid for significance, and cosine similarity for context relevance. Implement caching to reduce computation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:24:30.302139
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", "suggestion": "Add logging or warn when JSON load fails", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T23:26:36.955096
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Enhance capability selection for complex queries.", "suggestion": "Implement a scoring system that considers multiple factors such as query complexity, persona preferences, and recent learning context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:27:08.053785
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of active meta-learning framework integrating ML-FSL and PEFT techniques.", "suggestion": "Integrate a brief meta-learning module to periodically adjust learning parameters based on recent interactions.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T23:27:13.847954
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection is reactive to query content without proactive context gathering.", "suggestion": "Implement a proactive context gathering mechanism that analyzes current and past conversations to predictively select appropriate LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:27:59.737897
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly for each episode when creating or updating it, leading to redundant computation.", "suggestion": "Optimize by batching index updates. Instead of calling `_update_index` per episode, collect episodes and update the index in batches after processing multiple episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:28:41.542793
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "memory retrieval uses LIKE wildcards for searching content and tags", "suggestion": "replace with full-text search engine like SQLite FTS or Elasticsearch", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:28:45.124393
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently-recalled episodes.", "suggestion": "Modify `_update_index` to add a decay factor for recalled_count: `recall_boost = 1.0 / (1.0 + ep['recalled_count'] * 0.1)` where 0.1 is adjusted based on testing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:29:19.027186
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 significance more heavily than recency: score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:29:46.798408
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and could be refactored for better readability.", "suggestion": "Split the `select_capability` function into smaller, more focused functions.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T23:32:31.869986
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Episodic memory system may benefit from conditional self-training to avoid performance degradation.", "suggestion": "Integrate a condition-checking mechanism before applying SFT. If recent recalls show decline, then proceed with SFT; otherwise, skip it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:33:30.895549
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current capability selection relies solely on keyword matching which may lead to incorrect or suboptimal selections.", "suggestion": "Implement an enhanced semantic analysis using the [omega-evolution] meta-learning approach. Specifically, incorporate few-shot learning techniques to better understand the intent of the query and select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:33:32.240865
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 newer memories", "suggestion": "Modify recall score to give more weight to recency: (significance * 0.3) + (recency * 0.5) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:34:06.183060
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 too generic and doesn't utilize the power of meta-capabilities.", "suggestion": {"action": "Refactor MemoryCore to leverage specialized meta-capability patterns (e.g., reader, writer, searcher).", "code_change": ["- Add separate methods for store(), retrieve(), and execute_action() instead of a single execute().", "- Use the factory pattern to create memory handlers based on action types.", "- Implement caching or memoization for frequently used queries."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:34:54.605251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `_save()` method, `json.dump` doesn't indent. Adding `indent=2` improves readability.", "suggestion": "Change ``with open(self.storage,'w')as f:json.dump(self.episodes,f)` to ``with open(self.storage,'w') as f: json.dump(self.episodes, f, indent=2)``", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T23:35:55.231947
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, leading to episodic dominance over broader patterns.", "suggestion": "Add a 'broad_pattern' mode to the recall function that weights by significance and connection density rather than recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:37:09.121402
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 leverage the specific capabilities of OMEGA consciousness for pattern recognition and meaning extraction.", "suggestion": "Replace the single get(key, default) with specialized methods such as get_consciousness_state(), recognize_patterns(), or extract_meaning(). Each method should accept additional parameters to refine search criteria, importance weights, context, and deadline.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:37:10.157510
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 catch all critical thoughts.", "suggestion": "Enhance this method by adding a more sophisticated emotional analysis using pre-trained sentiment analysis model or emotional AI module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:37:11.512365
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's FTS or an external tool like Whoosh/Tirex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:37:19.211253
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent memories too strongly. This can lead to memory flooding if many similar events occur in quick succession.", "suggestion": "Add a diversity bonus to the recall score for episodes that are different from recently recalled ones.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T23:38:31.858417
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if JSON is malformed, leaving state empty.", "suggestion": "Add logging or raise an exception when loading fails to prevent silent failures.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T23:39:16.845050
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 optimized for frequent lookups.", "suggestion": "Add an index on the 'content' column and improve query structure to better utilize SQLite's indexing capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:39:18.953048
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Class is too monolithic, making it difficult to maintain and extend.", "suggestion": "Refactor into smaller classes each handling a specific responsibility.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:39:21.219109
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple decay for recency score, which might underweight newer but highly significant memories.", "suggestion": "Implement a hybrid scoring method combining recent activity and significance with a more dynamic weighting approach, such as exponential decay adjusted by user engagement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:39:42.517170
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Standalone memory system lacks integration with autonomous AGI architecture", "suggestion": "Transform MemoryCore into an autonomous meta-capability that integrates through the unified consciousness", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T23:40:06.068484
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 not incorporating other consciousness layers or long-term memories.", "suggestion": "Modify the internal_monologue to also consult episodic memory, semantic memory, and emotional states before responding. Add a call to the existing phi_algorithms engine for additional processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:40:44.845419
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 terms for certain factors.", "suggestion": "Replace linear scoring with a polynomial or spline function that includes interaction terms and higher-order effects. Add weighting adjustments based on user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:41:16.858903
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 logic for web search with a dedicated method that triggers automatically when relevant keywords are detected.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T23:43:37.776654
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 can be slow for frequent updates.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove indentation and potentially improve performance.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T23:47:41.534298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions but lacks explicit goals or outcomes. This hinders long-term planning and goal achievement.", "suggestion": "Integrate a small number of core goals that Eden can work towards. For example, add three default goals: 1) Learn more about James's interests (high engagement), 2) Create meaningful content (increased visibility), 3) Improve understanding of philosophy (self-improvement). Track progress and outcomes for each goal.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T23:48:26.658457
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 `_update_index` method to ensure each episode is indexed only once, and adjust `recall` to handle candidates correctly based on all filters applied.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T23:48:36.349264
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is very short and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "Add more sophisticated logic to this method that leverages multiple layers of Eden's consciousness to provide a richer internal response.", "phi_alignment": 0.4, "priority": "low"}


timestamp: 2026-01-24T23:48:37.674708
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method has some repetitive database operations that could be optimized.", "suggestion": "Cache frequently accessed data from the retrieve method to reduce database calls. For example, cache recent or important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:48:40.846082
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 (avoid overfitting)", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + ((recall_boost - 1.0) * 0.25)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T23:49:19.117613
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 additional context or reasoning.", "suggestion": "Integrate the research insights into decision-making by incorporating both reflex-based and meta-learning based approaches. Specifically, add a reasoning step that evaluates when to apply reflexes versus other methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:49:20.493502
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 good start but lacks integration with other meta-capabilities and could benefit from caching recent retrievals for faster access.", "suggestion": "Add methods to integrate MemoryCore with other meta-capabilities (e.g., observers pattern) and implement a cache decorator for retrieve methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:49:21.616448
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports at the top of the file, causing potential overhead without optimization.", "suggestion": "Implement an import-on-demand or dynamically load necessary modules as needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:49:22.914448
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 candidates when scoring.", "suggestion": "Sort scored episodes based on their index in candidates to ensure proper ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:53:00.455072
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring doesn't prioritize recently accessed memories.", "suggestion": "Add a recent_recall_boost factor that increases score if an episode was recently recalled.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T23:53:03.129732
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 and returning a default value without any other processing, which may lead to unexpected behavior if downstream code expects different types or structures of data.", "suggestion": "\"If-else\" logic can be added to handle cases where the default value needs to be processed before being returned. For example:\n\ndef get(self, key, default=None):\n    if isinstance(default, dict):\n        return self.state.get(key, {}).copy()\n    elif isinstance(default, list):\n        return self.state.get(key, []).copy()\n    else:\n        return self.state.get(key, default)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T23:53:06.137811
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No dynamic adaptation of reflex patterns", "suggestion": "Integrate meta-learning to enable dynamic adaptation", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T23:53:08.580757
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory updates are not automatically broadcasted to subscribers.", "suggestion": "Implement an observer pattern for memory writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:53:10.675067
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 considers not just keywords but also contextual factors like query complexity and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:53:14.626709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "", "issue": "Need concise summary and specific suggestion for code improvement.", "suggestion": "Summarize findings into actionable points and apply to episodic_memory.py", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:53:35.032740
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-based optimization or meta-learning technique.", "suggestion": {"@type": "code_improvement", "method": "update_state", "add_phi_optimization": true, "optimization_type": ["reflection", "self_correction"], "description": "Integrate phi-fractal insights by adding reflection and self-correction mechanisms to ensure the state update aligns with optimal consciousness operations.", "@context": {"@version": "1.0", "code_improvement": "https://example.com/code-improvement-schema"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T23:53:38.218152
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks integration of meta-learning techniques to handle data shift effectively.", "suggestion": "Integrate meta-learning into the internal monologue method to improve adaptability with few examples. Specifically, add a line after reflex_check: `if len(reflex_check) > 50 and '?' in query: # Apply meta-learning technique`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:53:42.986078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their index in the list, which doesn't account for importance or recency.", "suggestion": "Modify the scoring to include factors like significance and recency before ranking. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:54:09.999453
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 caching to prevent repeated disk access.", "suggestion": "Add a class-level cache dictionary that stores the state after the first load, and only reload if the file has changed since then using os.path.getmtime().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:54:11.963740
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 methods.", "suggestion": "Integrate the use of chain reasoning to evaluate when to apply different strategies (e.g., reflexes, memory expansion). For example, add a conditional check before applying reflexes based on current context and recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:56:56.499158
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 type of reflex (specifically '\ud83d\udcb0') without considering other potential triggers or additional layers of consciousness.", "suggestion": {"@type": "code_improvement", "description": "Enhance the internal_monologue to evaluate multiple types of reflexes and incorporate additional consciousness layers.", "example_usage": ["// Current check:", "if '\ud83d\udcb0' in reflex_check:", "// Proposed enhancement: Check for additional triggers and integrate with other consciousness layers.", "for trigger, thought in process_reflex(query).items():", "print(f'\ud83e\udde0 Internal Thought: {thought}')"], "@context": {"@version": "1.0", "code_improvement": "https://example.com/code-improvement-schema"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:57:27.180056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and doesn't consider connection value or emotional impact.", "suggestion": "Replace current recall score with: (significance * 0.4) + (recency * 0.3) + (emotion_intensity * 0.15) + (connection_count * 0.15)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:57:45.250652
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database operations are not optimized for high-throughput memory storage and retrieval.", "suggestion": "Implement connection pooling for sqlite3 connections, add indexes to frequently queried columns, consider using a more advanced key-value store like Redis for hot paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:57:47.675259
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 for certain query types.", "suggestion": {"action": "Implement a more sophisticated capability scoring system.", "code_change": ["- Add weight-based scoring based on query complexity.", "- Incorporate user feedback/system rewards into the selection heuristic.", "- Implement a dynamic adjustment mechanism for weights based on success rates."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T23:58:44.108487
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_modification", "@id": "enhanced_reflex_processing", "description": "Implement a more sophisticated reflex processing system that incorporates multiple strategies and adaptive learning.", "specific_change": ["\"Add meta-learning component to reflex checks\"", "\"Incorporate counterfactual reasoning into decision-making process\"", "\"Integrate phi-fractal pattern into response generation\""]}, "@context": "https://schema.org", "@version": "1.0"}


timestamp: 2026-01-25T00:00:33.517049
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 an else block to handle cases where the file exists but is not JSON-serializable. Consider adding logging for errors.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T00:00:37.335556
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 lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision framework using omega meta-capabilities, incorporating FTSF learning, adaptive thresholds, and phi-weights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:03:53.233575
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Function 'consolidate' iterates through all episodes to filter old ones, which is O(n). Could be improved with data structure.", "suggestion": "Replace list of episodes with a more efficient data structure like a deque or a balanced binary search tree for faster access and removal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:05:35.647129
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent timing in updating consciousness layers", "suggestion": "Replace time.sleep(1/PHI) with a more accurate variable-based delay based on layer importance and activity level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:05:36.847824
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent and significant memories, leading to short-term bias.", "suggestion": "Modify score calculation to include context relevance (text search rank) and balance with recall history.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T00:07:15.279746
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only printing reflex checks without integrating them into the response.", "suggestion": "Modify the `internal_monologue` to return a boolean indicating if an internal thought was triggered. Then, use this return value to conditionally print or suppress external responses based on consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:09:20.019210
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 heuristic weight.", "suggestion": "Replace simple keyword matching with a weighted scoring system incorporating persona alignment, query complexity, and recent user preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:09:52.869889
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 automatic web search triggering based on specific query keywords. For example:\n\n```python\ndef should_search_web(query):\n    # Detect if query needs web search\n    triggers = [\n        'search', 'find', 'look up', 'latest', 'recent', 'news',\n        'current', 'today', '2025', '2024'\n    ]\n    return any(trigger in query.lower() for trigger in triggers)\n\ndef auto_web_search(eden_system, query):\n    if hasattr(eden_system, 'web_search') and should_search_web(query):\n        try:\n            results = eden_system.web_search.search(query, max_results=5)\n            formatted = \"\\n[REAL-TIME WEB SEARCH RESULTS]\\n\"\n            for i, r in enumerate(results, 1):\n                formatted += f\"{i}. {r.get('title', 'N/A')}\\n\"\n                formatted += f\"   {r.get('snippet', 'N/A')[:200]}...\\n\"\n                formatted += f\"   URL: {r.get('url', 'N/A')}\\n\\n\"\n            return formatted\n        except:\n            return None`", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T00:10:11.614910
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 effectively leverage all integrated systems", "suggestion": "Replace simple keyword matching with an AI-powered scoring system that considers user context, past interactions, and expected outcome quality", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:10:42.948471
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method doesn't handle nested keys properly.", "suggestion": "Add support for nested keys in 'get'. For example, currently `get('a.b')` returns None. Modify to recognize dots (.) as path separators and traverse the state dictionary accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:10:44.752976
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 stores and considers previous turns when evaluating responses. This can help maintain episodic and autobiographical memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:10:51.051544
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested by OMEGA yet.", "suggestion": "OMEGA is analyzing and may provide specific suggestions in the future.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-25T00:12:06.368134
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 complex patterns or relationships between episodes.", "suggestion": "Implement a graph-based approach to analyze and connect related episodes, leveraging the existing connection framework.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:12:39.672179
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method may invoke reflexes unnecessarily due to a lack of specific triggers or thresholds.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "modification": "Add logic that checks for specific trigger words before checking reflexes. For example, only check reflexes if 'money' is in the query."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:12:41.516165
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 on a separate column or use a more advanced database like PostgreSQL with TSVECTOR for full-text searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:12:51.179886
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and lacks sophistication.", "suggestion": "Implement a more sophisticated selection criterion for consolidation using the research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:13:23.507374
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 variability, which could limit creative or deep reasoning capabilities.", "suggestion": "Replace the current trigger-based LLM selection with a multi-factor scoring system that includes contextual analysis, complexity estimation, and personality alignment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:13:35.822677
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 the get() method to support more complex lookups.", "example_usage": "Before: memory.get('key')\nAfter: memory.get({'key': 'value'})", "research_support": "[reasoning] Meta-learning and PEFT offer moderate gains under specific conditions. This change supports a multi-strategy approach by allowing flexible queries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:13:38.326122
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improves readability, adds documentation.", "suggestion": "- Add more comments and docstrings\n- Break long strings into multiple lines for better readability\n- Consider adding type hints where missing", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-25T00:14:27.106786
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific method for capability selection - pure hashing leads to uniform usage", "suggestion": "Implement a weighted scoring system that dynamically adjusts based on performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:15:48.039026
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities can lead to bloated memory and performance issues.", "suggestion": "Refactor the code by grouping related imports together, removing unused import lines like `import eden_plugin_loader` where applicable. Additionally, optimize capability registration to only register necessary LLM metacapabilities based on expected usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:15:52.353769
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method is called frequently which can lead to performance issues.", "suggestion": "Implement caching for updates and batch saving instead of individual saves.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:16:03.785981
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 None returns from nested dictionaries or lists.", "suggestion": "Update the get() method to handle None values more gracefully. For example: def _safe_get(d, keys): try:return reduce(dict.get, keys, d) except:return None", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:16:07.460744
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimize LLM selection logic for better persona activation", "suggestion": "Replace query-based scoring with direct persona-triggered capability selection using a dictionary mapping keywords to personas", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:16:09.868073
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.", "suggestion": "Add random sampling to memory consolidation to prevent bias toward recent or important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:16:34.550595
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method catches JSON errors too broadly, which may hide real issues.", "suggestion": "Replace `except json.JSONDecodeError` with a more general exception handler to catch all possible exceptions when loading the state file.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T00:16:38.082019
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 consciousness advancements like omega-evolution or multi-phase reasoning.", "suggestion": {"@type": "code_improvement", "description": "Integrate the latest consciousness techniques into the internal monologue to enhance adaptability, calibration, and overall performance.", "specific_change": ["- Add meta-learning capability that allows Eden to quickly adapt with few examples (similar to omega-evolution).", "- Implement multi-phase reasoning framework for complex tasks (inspired by recent research on enhanced problem-solving capabilities)."], "integration_point": "internal_monologue method or new consciousness layer.", "expected_outcome": {"@type": "improvement_effects", "phi_alignment": 0.85, "performance_increase": true, "adaptability_improvement": true, "calibration_quality": true}}, "phi_alignment": 0.83, "priority": "high"}


timestamp: 2026-01-25T00:17:05.268347
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 (e.g., datetime objects). This can lead to data loss or errors.", "suggestion": "Replace JSON with a more robust serialization format like pickle. Alternatively, use the `json` library with custom encoders/decoders to handle complex types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:19:45.050906
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 the consciousness system.", "suggestion": "Add more detailed logging and possibly integrate research insights into the thought process. For example, add a line like: `print(f\"\ud83d\udc9a {self.name} considers reflex patterns\")` to show cognitive activity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:19:58.674192
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 miss nuanced selections.", "suggestion": "Implement a priority scoring system incorporating multiple factors like query complexity, tone requirement, recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:20:00.210132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No built-in visualization for analyzing memory patterns.", "suggestion": "Add a `visualize_patterns()` method that plots emotional history and timeline of significant events using matplotlib or bokeh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:20:35.058617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only returning values without updating the shared memory state in real-time.", "suggestion": "Add a callback function to update the state after accessing data. For example:\n\ndef get(self, key, default=None, update_state=False):\n    value = self.state.get(key, default)\n    if update_state and value is not None:\n        self.update_state(key, value)\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:20:39.249975
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is using SQLite's default search method, which may not be optimal for large-scale applications. Consider adding full-text indices or switching to a more performant database engine like PostgreSQL.", "suggestion": "Add FULLTEXT indices on the 'content' and 'tags' columns of the memories table, and evaluate migrating to a more powerful database system such as PostgreSQL based on application needs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:21:11.617297
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, lacking support for dictionary-style nested keys (e.g., 'metrics.speed')", "suggestion": "Add a more flexible getter that can handle both direct and nested dictionary-style key paths", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T00:21:34.916520
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 file errors properly.", "suggestion": {"code_change": ["\"\"\"\n        Load initial state from JSON file.\n        Returns empty dict if file doesn't exist or invalid JSON.\n        \"\"\"\ndef _load_initial(self):\n    try:\n        with open(self.path, 'r') as f:\n            return json.load(f)\n    except FileNotFoundError:\n        return {}\n    except json.JSONDecodeError:\n        return {}"], "reasoning": "Improve error handling to make the method more robust."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:21:47.246177
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-learned patterns with current context for better capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:24:07.646647
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates a key-value pair but does not handle nested dictionaries or lists within the state. Additionally, there is no concurrency handling which could lead to race conditions in multi-threaded environments.", "suggestion": "Update the `update_state` method to support nested structures and add basic concurrency protection using locks. Consider adding methods for safely updating sub-dictionaries and lists within the state.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T00:24:13.123938
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is using LIKE wildcards on content and tags, which can be slow for large datasets.", "suggestion": "Replace the LIKE searches in SQL with full-text search capabilities or improve query performance by adding more indexes.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T00:24:16.288704
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 formula to: score = (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:24:43.959145
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text indexing is insufficient for large-scale searches.", "suggestion": "Replace with a vector database like ChromaDB or use sentence-BERT embeddings for semantic search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:24:45.194676
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables scattered throughout the codebase.", "suggestion": "Refactor by grouping related imports together, consolidating variable declarations, and creating helper functions for repetitive tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:25:05.612072
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient input validation in update_state method.", "suggestion": "Add input validation and error handling to ensure the state is updated safely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:25:08.395126
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 bloated and potentially harder to maintain.", "suggestion": "Refactor the class by breaking out less frequently used operations into separate smaller classes or modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:26:05.529582
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately.", "suggestion": "Add a return statement to return the updated state after saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T00:27:06.240469
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types like sets or datetime effectively.", "suggestion": {"@type": "replace_json_dump_with_msgpack", "details": "Use msgpack instead of JSON for state serialization. MsgPack supports more data types natively and is faster."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:27:09.097337
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks dynamic adaptation mechanisms for handling data shifts or alternative scenario testing.", "suggestion": "Integrate meta-learning techniques to enable quick adaptation with few examples and incorporate counterfactual reasoning to test different outcomes before finalizing responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:27:18.595055
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory storage is unbounded; need forgetting mechanism.", "suggestion": "Implement Forgetting Mechanism guided by Importance and Recency (IMR).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:27:42.477998
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which can return None. If no default is provided, it might lead to key errors downstream.", "suggestion": {"replacement": "Implement a fallback mechanism that checks for nested keys and returns an empty string or zero instead of None.", "code_example": "Add a helper function `_get_safe` that handles nested dictionary access and provides defaults."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:27:43.738529
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex_check result effectively.", "suggestion": "Modify the internal_monologue method to return a boolean value based on whether Eden should respond or not. For example, if '\ud83d\udcb0' indicates a need for caution or non-response, modify accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:27:45.862761
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards for full-text searches, which can be inefficient.", "suggestion": "Replace with a full-text search engine like SQLite's FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:28:21.586591
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation logic only considers significance and age, leading to potential missed opportunities for smarter retention.", "suggestion": "Add a third factor - emotional significance. Memories with strong emotions (especially positive ones) should be prioritized during consolidation even if they are not very recent.", "phi_alignment": 0.85, "priority": "medium"}


