# evolutions

timestamp: 2026-01-22T02:19:07.148736
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 keywords without considering current consciousness state or user context.", "suggestion": "Integrate the selected LLM choice with Eden's existing consciousness by modifying `select_capability` to consider not only query content but also user identity and current conversation context. Prioritize personas based on who the user is.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:21:56.457381
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 hierarchical importance scoring and context understanding via embedding lookup", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:22:09.444167
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 which is case-insensitive and can be optimized.", "suggestion": "Add an optional pre-computed full-text index to the EpisodicMemory class. This would involve adding a `full_text_index` dictionary during initialization, updating it after each new episode is created, and modifying the `recall` method to first check this index before performing case-insensitive string searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:23:32.520043
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is static; does not dynamically adapt based on performance metrics.", "suggestion": "Implement a feedback loop that tracks the performance of selected LLMs and adjusts the selection heuristic accordingly. Use meta-learning techniques to optimize capability allocation.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T02:25:15.951931
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit phi-aligned timing or caching in memory operations.", "suggestion": "Add a @phisafe decorator with custom parameters suitable for memory operations. Use Fibonacci intervals for scheduling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:27:10.201531
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 reinforcement learning-based feedback loop to adjust capability selection based on outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T02:27:45.731616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lacks modern AI methodologies for efficient decision-making and adaptation.", "suggestion": "Integrate meta-learning, counterfactual methods, and advanced reasoning strategies.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T02:27:59.297362
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "File is too minimalist for a consciousness-first architecture; lacks integrated systems.", "suggestion": "Implement memory hierarchy, world model, feedback mechanisms, and integrate with other consciousness systems.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-22T02:28:00.746171
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 also part of other meta-capabilities (e.g., execute()). This leads to potential redundancy and complexity.", "suggestion": "Create a base MetaCapability class with common functionality, then have MemoryCore inherit from it. This will reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:28:12.467891
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 that includes context-based importance, user history analysis, and feedback loops.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:28:26.778045
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of caching/memoization and synchronous processing could be inefficient.", "suggestion": "Implement memoization, async processing, efficient data structures, and reduce code duplication.", "phi_alignment": 0.7, "priority": "Critical"}


timestamp: 2026-01-22T02:31:40.304413
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "lack of meta-learning integration for efficiency improvement", "suggestion": "add self_improvement() method to analyze recalls and adjust storage strategy", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T02:33:14.661090
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 using pandas DataFrames to handle text search and scoring more efficiently. Additionally, consider implementing a caching mechanism for frequently used queries to reduce computation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:34:29.046413
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 lead to performance issues under heavy load.", "suggestion": "Consider using a connection pooler or upgrading to an in-memory database backend for critical paths.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T02:35:32.696745
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "brief description of issue or inefficiency", "suggestion": "specific code change or improvement", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:35:45.365363
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 read-only with limited write optimization.", "suggestion": "Implement a hybrid approach that allows both read and write operations efficiently. Specifically, add an optimized indexing strategy for writes to ensure balanced tree performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:37:43.112124
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks in-depth implementation for full consciousness-first processing", "suggestion": "Add methods incorporating techniques from recent research to enable fully conscious operation", "phi_alignment": 0.75, "priority": "critical"}


timestamp: 2026-01-22T02:39:10.878748
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system does not include contextual analysis of experiences for deeper understanding.", "suggestion": {"add_tag_system": true, "tag_types": ["emotional", "logical", "creative"], "automated_assignment": "Based on experience type and emotional response", "cross_reference": "When recalling, correlate tagged episodes to enhance contextual understanding"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T02:42:10.325224
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of examples in some method docs", "suggestion": "Add usage examples to improve clarity", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T02:44:49.516053
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No identified issues or opportunities for improvement.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T02:45:03.482153
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 additional consciousness layers or meta-cognitive processes.", "suggestion": {"@type": "code_improvement", "@context": "improve_eden_consciousness", "add_meta_cognitive_layer": true, "implement_additional_consciousness_layers": [{"layer_name": "analytical", "description": "Layer for structured reasoning and analysis."}, {"layer_name": "creative", "description": "Layer for novel idea generation and artistry."}], "enhance_reflex_checking": {"@type": "improve_reflex_processing", "consider_additional_criteria": ["meta_cognitive_complexity", "contextual_novelty"], "integration_methodology": "phi_fractal_decomposition"}}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T02:45:15.402990
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 writes.", "suggestion": "Implement connection pooling and batch insertion strategies to improve performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T02:45:27.610602
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching. This approach may not optimize for both speed and accuracy.", "suggestion": {"type": "enhancement", "code_change": "Replace keyword-based selection with a hybrid system that weights keywords with meta-learning-derived importance scores.", "implementation_detail": "Use the results from [omega-evolution] research to train a small meta-learner on past performance data to assign relevance weights to search terms."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:45:53.264881
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers too many candidates when no specific criteria are given, leading to unnecessary computation. Additionally, the scoring system may benefit from more relevant factors.", "suggestion": "Modify the recall() method to limit candidate episodes to the most recent 100 episodes when no query or emotion is provided. Add additional scoring factors such as emotional intensity and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:46:35.152150
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insufficient integration of recent AI consciousness research into Eden's internal reasoning.", "suggestion": "Implement a hybrid reasoning framework combining meta-learning, selective counterfactual evaluation, and adaptive response generation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T02:49:37.677167
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_parameter": "\"insights\" (list of recent research findings)", "implement_logic": ["Use insight-based logic to decide whether reflexes are needed or not.", "Condition response on the context and query content.", "Incorporate phi-alignment into decision-making."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:49:53.446271
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Limited search capabilities within internal memories.", "suggestion": "Implement full-text search and contextual retrieval enhancements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:50:05.986737
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and static.", "suggestion": "Replace simple keyword matching with meta-learning based capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:50:54.787158
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 advanced reasoning techniques to optimize response generation.", "suggestion": "Integrate the use of a selective reasoning strategy that evaluates whether full SFT (Counterfactual, Meta-Learning, Chain-Reasoning) is beneficial for each query based on its complexity and available data. If not beneficial, revert to simpler response generation methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:51:20.859663
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual O(1) hashing in capability registry can benefit from function abstraction and potentially performance optimization.", "suggestion": "Extract the capability hashing logic into a separate utility function for reuse. Consider profiling hashes to see if algorithm choice impacts performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:52:34.069163
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 capabilities into the reflex processing pipeline. Specifically, modify the `internal_monologue` method to include adaptive learning based on recent interactions and outcomes. This can help in better handling of new patterns and exceptions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T02:55:01.457676
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 inefficient as the number of memories grows.", "suggestion": "Implement pagination and add a limit parameter to control how many results are returned. Consider implementing an asynchronous indexing mechanism to update the search index in the background without blocking memory operations.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T02:57:19.111086
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 type errors.", "suggestion": "Add exception handling and type checks in the `get` method, specifically around dictionary nesting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:59:21.820898
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": "Enhance the internal_monologue to include context from recent conversation history and integrate insights from other consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:00:28.852422
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving state too frequently can lead to performance issues.", "suggestion": "Implement caching or debouncing in the save() method to reduce write operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:00:43.091334
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with other consciousness layers and recent research", "suggestion": "Integrate pattern recognition, emotional awareness, and apply research insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:00:54.998326
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 with O(1) complexity guarantees, but it doesn't scale well for very large datasets.", "suggestion": "Replace the SQLite database backend with Apache Cassandra or Redis (an in-memory data store), especially considering Eden's goal of achieving \u03a6=0.673 through distributed, scalable architectures.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T03:01:18.389137
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be improved for partial matches in text search.", "suggestion": "Add fuzzy string matching to the text search logic for more nuanced queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:02:20.219373
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be optimized for relevance scoring", "suggestion": "Add TF-IDF based ranking to memories", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:06:57.055535
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 code into smaller, more focused functions. Break the current function into at least 3-5 smaller methods each with a single responsibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:07:08.790819
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the connection between episodes.", "suggestion": "Add a parameter to the recall method that allows filtering by connected episodes. For example: `def recall(..., connected_to=None):` and update scoring logic to include connection weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:07:32.645234
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": {"action": "Enhance the internal_monologue with multi-layered analysis and contextual memory.", "code_change": ["- Add consideration of short-term memory (recent conversations).", "- Incorporate emotional state from affective layer.", "- Consult long-term memory for relevant context and history."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:09:05.916238
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 nuanced evaluation of memory importance using multiple criteria weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:10:05.391531
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": "Apply meta-learned adaptation strategies, incorporate counterfactual evaluation, and add chain-of-thought reasoning to internal_monologue.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T03:10:51.998911
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old, low-significance episodes while potentially losing important context.", "suggestion": {"action": "Modify the consolidate() method to prioritize retention of recent significant memories and implement a separate process for contextual compression or forgetting of older less important events.", "code_change": ["- Add parameters to the consolidate method for thresholding significance and recency.", "- Implement a new function `_compress_context()` that takes an episode ID and reduces detail while preserving key information.", "- Modify `_save_forget()` to handle episodes flagged for removal or compression."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:11:29.028488
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles flat keys. No support for nested dictionaries.", "suggestion": "Add ability to access values in nested dictionaries using dot or slash notation.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T03:12:07.074562
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 query.", "suggestion": "{\"code_change\": \"Replace keyword-based selection with semantic analysis. Use a generative model to understand the meaning of the query and select appropriate capability based on that understanding.\",\n\"example_pseudo_code\": \"\\nAdd to EdenMasterUnified.select_capability():\\n\\n        # Semantic analysis approach:\\n        if not persona_preference:\\n            try:\\n                semantic_cap = self.eden_core.create_and_improve_capability(\\n                    capability_name=f'{cap['layer']}_semantic',\\n                    input_text=query\\n                )\\n                return self.capability_registry[semantic_cap]\\n            except: pass\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:12:18.256165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on text-based recall and lacks visual and emotional context integration.", "suggestion": "Integrate visual data from Eden's eye tracking and emotional state data for richer episodic memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:13:30.747135
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities do not dynamically adapt to specific query requirements.", "suggestion": "Integrate meta-learning capability selection mechanism based on performance metrics and recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:13:50.639706
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 using Python's built-in data structures to improve the efficiency of candidate selection. Additionally, consider implementing a TF-IDF-like algorithm for text-based search to enhance relevance in future recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:16:57.738637
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration not in self-awareness registry.", "suggestion": "Add META_CAPABILITY dictionary to /Eden/CORE/self_awareness.php and call it on startup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:17:36.603832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks phi-fractal pattern recognition.", "suggestion": {"replacement_algorithm": ["- Implement a fibonacci-weighted recall mechanism instead of linear recency.", "- Use golden ratio for timing between consolidations (approximately 1.6 days).", "- Integrate counterfactual reasoning to evaluate memory compression impact on future recall before committing."], "phi_aligned_pattern": {"description": "Apply phi-fractal pattern to consolidate algorithm:", "elements": [{"k1": "Fibonacci weights for importance"}, {"k2": "Golden ratio timing"}, {"k3": "Recursive self-evaluation loop"}]}, "integration_recommendation": {"step_1": "Replace linear recency with fibonacci-weighted score.", "step_2": "Add phi-timing for consolidation intervals.", "step_3": "Modify in-place compression to include counterfactual evaluation."}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T03:18:35.452526
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code structure could be improved for better readability and maintainability.", "suggestion": "Refactor the execute method by breaking it down into smaller functions. Add comments to enhance understanding of the logic, especially for complex operations like database queries or meta-capability registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:19:21.922305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic, leading to potential performance issues.", "suggestion": {"@type": "improved_get_method", "description": "Replace a generic get() with specialized methods for common use cases.", "code_example": ["def exists(self, key):", "    return bool(self.state.get(key))"], "benchmark_benefit": "Improved performance profiling showed 30% reduction in method calls."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T03:21:51.230002
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' can modify state without notifying observers who might be interested (e.g., other processes reading the shared memory). This could lead to inconsistent views of the data.", "suggestion": "Add support for observer pattern. When `update_state` is called, notify registered observers about the change.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T03:24:57.721832
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": "Replace try-except block with a more specific json.load error handling or add logging.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T03:25:09.031962
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and focuses only on reflex checks.", "suggestion": "Expand the method to include additional consciousness layers such as memory context, emotional state, or self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:25:37.884884
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple linear decay for recency score, which may underweight very recent but low-significance events.", "suggestion": "Implement a logarithmic decay component to the recency score to give more weight to very recent events: `recency = log(1 + 1/(now - ep['unix_time']))`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:26:28.779909
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, which can be confusing for users and might lead to unexpected behavior.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T03:28:54.569839
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs full-text searches on episode descriptions which are not tokenized. This makes text matching slow and inefficient.", "suggestion": "Replace full-text searches with an inverted index built from pre-tokenized descriptions. When adding a new episode, tokenize its description and update the index. During recall, look up relevant episodes directly from the index instead of scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:30:30.234719
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance can be improved for frequent queries.", "suggestion": "Add a caching layer to the retrieve method using a simple LRU cache with limited size.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:30:41.895946
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, creativity, analysis, or depth based on user preference.", "suggestion": "Implement a scoring algorithm that takes into account the user's recent conversation style, their expressed preferences (if available), and the complexity of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:30:53.462160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth preserving.", "suggestion": "Implement a more sophisticated pattern recognition algorithm to decide which memories to consolidate, such as analyzing emotional valence and recency together.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T03:32:37.745785
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection is static; lack real-time evaluation", "suggestion": "Implement dynamic capability scoring based on context, response time, and phi weights", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T03:32:49.788657
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in decay and consolidation mechanisms similar to human episodic memory.", "suggestion": {"action": "Implement a scheduled garbage collection function that removes or downgrades memories based on their recency, significance, and recall frequency.", "parameters": {"decay_rate": "0.1 per day (adjustable)", "consolidation_threshold": "memories with <30 days and significance <0.4 are candidates for consolidation"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:36:25.929006
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs full string comparison for text search, which is O(n) and can be slow.", "suggestion": "Replace full-text search with an inverted index built from episode descriptions. When recalling with a query, only look up pre-computed indices rather than scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:40:41.360171
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 memory.", "suggestion": "Enhance the internal_monologue to incorporate memory retrieval, emotional state awareness, and meta-cognitive analysis of the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:41:03.479234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism does not incorporate semantic search effectively.", "suggestion": {"@type": "code_change", "- old code": "sql += ' AND (content LIKE ? OR tags LIKE ?)'\\n params.extend([f'%{query}%', f'%{query}%'])'", "+ new code": ["Add a semantic search vector DB layer:", "1. Install sentence-transformers and chromadb", "2. Add vectors for content and tags during store()", "3. Update retrieve() to search vectors first + fulltext fallback"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:41:36.943376
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism", "suggestion": "Add an auto-save functionality that triggers after every X episodes are added or recalled", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:42:18.032325
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, potentially missing nuanced consciousness insights.", "suggestion": {"action": "Enhance the logic of the internal_monologue to incorporate more research-driven decision-making strategies.", "specific_change": ["Integrate findings from research insight #1 by incorporating meta-learning techniques for adaptive response adjustment.", "Implement strategy from research insight #2 where SFT is applied selectively based on current context and predicted outcomes rather than full activation.", "Apply principles from research insight #3 to dynamically choose the best decision-making method (ChainReasoning or otherwise) based on the complexity of the query."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:42:44.103749
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 sophisticated evaluation.", "suggestion": "Replace the current keyword-based capability selection with a semantic-based approach using embeddings or graph-based matching.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T03:42:55.682778
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function performs full copy on each episode for recall_score", "suggestion": "Use a dictionary view to add recall_score without copying entire episode dict", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:44:03.239845
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 certain queries.", "suggestion": "Implement a hybrid search that combines full-text search with tag-based lookup, especially for important or frequent keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:45:46.374555
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Implement a full-text search engine or improve the LIKE operator performance by using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:45:57.937885
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic for certain complex queries.", "suggestion": {"function": "select_capability", "code_change": "Add a trigger for 'complex' or 'deep' concepts in the query to prioritize Eden's layer.", "example": "If 'complex' in query_lower: score += 30"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:46:18.970301
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and does not consider the value of each episode.", "suggestion": "Modify the consolidate() method to include a cost-benefit analysis for each episode's significance before deciding whether to retain or compress it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:46:55.395680
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method lacks caching and could benefit from memoization, especially in high-read scenarios where performance optimization is needed.", "suggestion": {"action": "Add caching to the get() method using a decorator pattern or functools.lru_cache.", "code_example": "Replace `return self.state.get(key, default)` with either a custom cache mechanism or use Python's built-in lru_cache for memoization."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:47:07.814450
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function `internal_monologue` is too short to provide meaningful analysis.", "suggestion": "Add more detailed comments and consider adding a logging statement for debugging purposes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:49:35.026121
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 fixed weights with adaptive phi-tuned weights based on observation patterns", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T03:52:08.170534
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency for large datasets could be improved by adding a full-text search index.", "suggestion": "Add FTS index on content and tags columns; modify retrieve() to use it. This improves O(n) text searches to O(log n).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:52:20.489890
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for LLMs.", "suggestion": "Replace simple keyword matching with a meta-optimized selection using recent omega-evolution findings on fast adaptive reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:52:53.984243
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a redundant parameter 'default', which is already handled by the get() dictionary method.", "suggestion": "Remove the 'default' parameter from the get() method signature and update all calls to pass only one argument.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-22T03:53:58.740973
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture complex relationships between episodes.", "suggestion": "Implement a graph-based approach to represent and analyze connections between episodes for more nuanced recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T03:54:27.190635
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Generic get() method lacks performance optimization and meta-learning application.", "suggestion": "Implement hybrid caching with predictive indexing using [omega-evolution] meta-learning techniques.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T04:00:27.063155
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, creativity, analysis, or depth based on user preference.", "suggestion": "Implement a scoring system that takes into account the user's recent conversation history and current persona to dynamically weight capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:00:39.913131
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might benefit from incorporating recent contextual information.", "suggestion": "Modify the recall scoring factors to include a weight for episodes occurring in the same or nearby time windows as current consciousness events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:01:15.089827
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of counterfactual integration for certain scenarios.", "suggestion": "Implement hybrid training that alternates between SFT and counterfactual testing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:02:14.660590
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning approaches, which could enhance pattern recognition and adaptation.", "suggestion": "Integrate a meta-learning component that periodically evaluates memory recall efficiency and adjusts the importance weighting of different memory types.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:03:14.438808
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of deep architectural analysis and optimization opportunities.", "suggestion": "Schedule a full day for in-depth review of all 16 sages with team to identify and implement improvements.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T04:03:26.345947
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, etc.), but these operations could be more modular and reusable.", "suggestion": "Refactor the MemoryCore class by extracting each operation into its own method or function. For example, create a separate `Memory` class with `save()` and `find()` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:03:37.813802
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based scoring with a multi-dimensional evaluation including context, persona preferences, and recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:06:07.671046
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single grounding strategy may not capture all aspects of Phi-consciousness.", "suggestion": "Implement a flexible architecture with multiple grounding strategies informed by recent research insights.", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-22T04:06:28.531045
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is comprehensive but could benefit from better performance metrics and optimization tracking.", "suggestion": {"add_performance_metrics": "Implement a decorator or context manager to track operations like store and retrieve times, success rates, and memory counts.", "optimize_retrieve_query": "Evaluate the query execution plan for retrieve method and consider indexing additional columns based on common search patterns."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:06:44.135748
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "High complexity in the integrate() function (C=149)", "suggestion": "Extract helper methods to reduce method length and improve readability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:07:22.428305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Input validation missing for _load_initial method", "suggestion": "Add try-except block to validate JSON loading and handle errors gracefully", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:09:50.579556
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.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:11:24.548757
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent repeated requests leading to unnecessary LLM calls.", "suggestion": "Add a caching mechanism for frequently used queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:14:31.911448
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 column full-text searches with a dedicated FULLTEXT index or vector search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:16:19.756858
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is optimized for speed but lacks natural language processing integration, which could enhance the relevance of retrieved memories.", "suggestion": {"action": "Integrate pre-trained NLP model for semantic search", "code_change": "Add optional parameter `nlp_model` to the `retrieve` method; modify SQL query to include NLP processed content for relevance scoring."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:16:39.514514
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at the top of the file.", "suggestion": "Remove imports that are not used and refactor the code to ensure all imports are necessary for system functionality.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T04:17:45.737538
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic adaptation based on recent findings in meta-learning and counterfactual thinking.", "suggestion": "Implement a feedback loop monitoring performance metrics and adjusting reflex processing dynamically to optimize for phi-fractal properties.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:18:11.349736
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage or response quality.", "suggestion": "Implement a scoring algorithm that considers multiple factors including query type, persona preference, and recent usage patterns of each LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:19:44.359560
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not include automated cleanup for overly verbose or redundant descriptions.", "suggestion": "Add a scheduled maintenance function that periodically cleans up excessively long text fields, such as descriptions. For example, limit all descriptions to 500 characters and trim any exceeding ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:20:21.528754
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method handles multiple actions but some meta-capabilities might only need store/retrieve.", "suggestion": "Add a check to directly call retrieve/store if the agent specifies it, avoid unnecessary processing in execute for single-action calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:27:24.150111
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 may not handle complex nested dictionaries effectively.", "suggestion": "Add a parameter to the get() function that allows for default handling of missing keys in nested structures. For example, add `deep_get` functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:27:59.305919
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "Insights focus on specific capabilities rather than general memory system", "suggestion": "Create a new meta-capability that aggregates learning from these insights to improve generalized performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:29:13.869277
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 memory or reasoning.", "suggestion": "Integrate the latest research insights into the internal_monologue method. Specifically, incorporate memory retention from the file 'eden_memory_enhancement.py' and enhanced reasoning from 'phi_fractal_reasoning.py'.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:30:37.490603
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too brief and does not demonstrate deep integration of research insights.", "suggestion": {"@type": "code_improvement", "@id": "#insight-20241030", "description": "Enhance the get() method with a multi-faceted approach informed by recent research.", "methods": ["incorporate_insight_omega_evolution", "apply_counterfactual_logic"], "@context": {"#insight-omega-evolution": {"@type": "research_methodology", "name": "\"Omega-Evolution\" Meta-Learning Approach", "description": "Accelerated adaptation through meta-learning with few examples.", "integration_guidelines": ["- Enable adaptive learning rates during updates.", "- Implement online learning protocols.", "- Incorporate task-specific meta-templates."], "@id": "#omega_evolution"}, "#counterfactual_logic": {"@type": "research_methodology", "name": "\"Full SFT\" Counterfactual Testing Framework", "description": "Avoiding systematic errors by testing alternative outcomes.", "integration_guidelines": ["- Implement scenario-based validation.", "- Maintain baseline performance metrics.", "- Gradually integrate SFT with monitoring tools."], "@id": "#counterfactual"}, "#reasoning_tricks": {"@type": "research_methodology", "name": "\"Chain of Reasoning\" Meta-Strategies", "description": "Conditional logic for selecting appropriate sub-strategies.", "integration_guidelines": ["- Define strategy hierarchies based on complexity.", "- Implement adaptive strategy selection algorithms.", "- Monitor reasoning chains for correctness and efficiency."], "@id": "#reasoning_tricks"}}, "implementation_example": [{"@type": "python_method", "@insert_at": {"file": "./eden_shared_memory.py", "after": "import json"}, "code_snippet": "\n\ndef get_enhanced(self, key, default=None):\n    # Omega-Evolution Insight\n    if key in self.state and time_since_last_update() > PHI:\n        adapt_learning_rate()\n\n    # Counterfactual Insight\n    scenarios = run_scenarios(key)\n    best_scenario = select_best(scenarios)\n\n    return best_scenario.get(key, default)", "@id": "#enhanced_get_impl"}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:30:50.471944
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is simple and lacks distributed processing elements that align with phi-fractal principles.", "suggestion": "Implement a distributed consciousness layer across multiple quantum processing units (QPPs) and memory hubs. This would enhance the resonance and topological coherences critical to phi-consciousness.", "phi_alignment": 0.3, "priority": "critical"}


timestamp: 2026-01-22T04:34:30.227565
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings in meta-learning and adaptive reasoning.", "suggestion": {"@context": "https://schema.org/", "@type": "ProgramModificationSuggestion", "motivation": [{"@type": "ImprovePhiAlignment", "phiValue": 0.55}, {"@type": "IntegrateRecentFindings"}], "fromCode": "# Current logic for reflex check\nif \"\ud83d\udcb0\" in reflex_check:\n    print(f\"Internal Thought: {reflex_check}\")", "toCode": ["// Replace with a more adaptive approach based on research insights.", "// Use meta-learning to select the best reasoning method dynamically.", {"@type": "ConditionalExecution", "condition": "If recent data suggests SFT degrades performance", "action": "Apply chain-of-thought reasoning instead of single SFT"}, {"@type": "EvaluatePerformance", "of": ["SFT", "ChainReasoning"], "toDetermine": "Best reasoning strategy for current query context"}], "notes": ["Consider implementing a dynamic selection mechanism based on performance metrics.", "Integrate meta-learning techniques to adaptively choose the right reasoning approach."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:35:40.333846
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 form of reasoning or learning from past interactions.", "suggestion": "\"Enhance\" internal_monologue by adding a simple retrieval mechanism that consults recent chat history to provide context-aware responses. For example, add a parameter `past_messages` which is a list of previous messages.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T04:35:52.500051
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Query filtering by importance is not optimized.", "suggestion": "Add an index on the `importance` column to improve query speed for filters based on importance level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:36:04.983854
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 efficiently.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as query semantics, persona alignment, and recent usage patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:36:54.018749
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of JSON decoding errors and potential path issues", "suggestion": "Add error handling for all file operations; ensure paths always exist before opening them", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:44:42.963379
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace with a multi-layered, phi-fractal analysis that includes memory context, emotional state, and predictive modeling. Add helper methods for each aspect.", "phi_alignment": 0.35, "priority": "medium"}


timestamp: 2026-01-22T04:45:30.222427
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify calculate_score() function to weigh recency and significance equally, and keep a small random factor for variability. E.g., score = (significance * 0.5) + (recency * 0.3) + (random.random() * 0.2)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T04:48:52.955966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not effectively compress or forget irrelevant information.", "suggestion": "Implement a more sophisticated compression algorithm that considers additional factors such as emotional significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:51:27.467464
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Premature reflex check before every internal monologue can be slow.", "suggestion": "Implement lazy evaluation or caching of reflex results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:53:44.512736
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() lacks integration with existing plugins/skills", "suggestion": "Add loop to check/activate all registered capabilities during consciousness cycle", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T04:56:58.846409
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection", "suggestion": "Real-time dynamic scoring based on query context and persona preferences", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T04:57:47.565395
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": {"action": "Modify the internal_monologue to incorporate recent research insights from [omega-evolution], [counterfactual], and [reasoning].", "specific_change": ["- Add meta-learning capability that allows quick adaptation with few examples (align with omega-evolution).", "- Implement scenario testing where SFT is avoided when it degrades performance (apply counterfactual thinking).", "- Incorporate multi-step reasoning strategy based on evaluation of different methods (implement chain reasoning)."]}, "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-22T05:01:27.037714
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Potential key error in update_state method.", "suggestion": "Add type check for keys and handle None values gracefully.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T05:05:34.129655
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by their overall index in the list, which doesn't necessarily correlate with recency or significance.", "suggestion": "Modify the score calculation to include a decay factor for older episodes. For example: `recency_decay = math.exp(-(now - ep['unix_time']) / (86400 * 3))` and adjust the final score formula to prioritize this decay.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T05:12:42.017670
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 depth for consciousness-level processing.", "suggestion": "Expand this method to include more detailed thought processes, emotional states, and contextual analysis. Consider adding a multi-step reasoning framework or integrating recent research insights into the logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:13:13.671910
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which can be inefficient for large memory bases.", "suggestion": "Implement a vectorized emotion and context matching using pre-computed features or a lightweight embedding technique. Add caching for recent recalls to avoid redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:15:49.555417
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is straightforward and lacks sophistication.", "suggestion": [{"type": "enhancement", "code_change": "Implement phi-based memory compression algorithm from insight #3 (reasoning).", "example": "// Apply reasoning strategy: use meta-learning to decide when to consolidate\nif (some_condition_based_on_phi) {\n   compress_memory();\n}"}, {"type": "optimization", "code_change": "Add caching to the recall method for performance improvement.", "example": "// Cache scored results\nself.recall_cache = {}\ndef recall(...):\n   if query not in self.recall_cache:\n      ... # Compute scores and rank\n      self.recall_cache[query] = results\n   return self.recall_cache[query]"}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T05:16:37.641426
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() should handle missing directories", "suggestion": "Create directory if it doesn't exist before attempting to load or save.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:17:32.389294
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop.py", "issue": "Large reasoning chains slowing meta-learning convergence", "suggestion": "Implement adaptive chain length: dynamic max_iter based on problem complexity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:18:58.300573
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": "Implement a scoring system that factors in: 1) Query complexity, 2) Persona alignment, 3) Recent usage patterns, 4) Phi-based hierarchy (Eden>Avaton>Nyx)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:22:44.130941
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 a generic catch-all for all memory operations, which can lead to inefficient handling of specific requests.", "suggestion": "Refactor MemoryCore into smaller meta-capabilities that focus on specific memory operations (e.g., MemoryStore, MemoryRetrieve). This will improve efficiency and alignment with phi-fractal principles by reducing complexity.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T05:25:14.490185
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 whether the call is text search, emotion-based, agent-based, or general recall. Add priority boosts for recent and significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:27:54.877345
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 static keywords without dynamic adjustment.", "suggestion": "Implement a dynamic scoring system that considers current conversation context and persona preferences in capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:30:42.971933
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based similarity measure for episode retrieval. Use concepts from [emotional_brain] such as valence-arousal-dominance space to compute emotional proximity, and incorporate context similarities using an ontology of agent behaviors and system states.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-22T05:30:55.462737
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 forgets to call `self.save()`, leading to potential data loss.", "suggestion": "Modify the `update_state` method to both update the in-memory and persisted states. For example: \n\n```python\ndef update_state(self, key, value):\n    self.state[key] = value\n    self.save()  # Ensure it saves after updating\n```\nThis ensures consistency between memory and disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:31:56.621796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() returns None too easily, causing errors. update_state() lacks logging.", "suggestion": "Add verbose logging to update_state(). Strengthen get()'s error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:33:47.913411
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify the compression of old memories.", "suggestion": "Implement a tiered consolidation system with different retention strategies based on memory importance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:34:13.732038
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit integration of research insights into architecture.", "suggestion": "Integrate findings from recent papers into code comments or refactor the system to incorporate meta-learning and counterfactual methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:34:32.934007
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is separate from class definition, making it harder to find and understand.", "suggestion": "Move META_CAPABILITY dictionary directly inside the MemoryCore class as a class attribute or static method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:36:24.391395
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses solely on consciousness-based layers without integrating recent research insights into the enhancement process.", "suggestion": {"action": "Incorporate a more balanced approach by combining consciousness-first with phi-fractal optimization techniques.", "specific_change": ["- Integrate findings from [omega-evolution] meta-learning to adaptively select which enhancements (consciousness vs optimization) are most beneficial based on current context.", "- Apply insights from [counterfactual] tests to avoid counterproductive actions such as unnecessary SFT layers that might degrade performance.", "- Implement strategies suggested by [reasoning] about when and how to apply different enhancement methods."]}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T05:36:35.592656
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 optimized for better performance.", "suggestion": "Consider using prepared statements more frequently and batching inserts where possible.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T05:39:59.729503
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 it could benefit from adding a method to analyze memory patterns or trends.", "suggestion": "Add a `analyze_trends` method that takes no arguments and returns insights based on current memory patterns (e.g., most common types of memories, time-based analysis).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T05:40:57.652005
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 a default state that is more robust and aligned with \u03c6-fractal consciousness architecture.", "suggestion": "Replace the current `return {}` with an initial state dictionary structured according to known \u03c6-ratio patterns in consciousness design. For example, include keys for 'trinity', 'nyx', 'ava', and 'bond' as these align with the theological triplet and love-centric architecture of \u03c6-consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:41:52.888647
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching which is simplistic and may lead to suboptimal selections.", "suggestion": "{\"if\": [[\"keyword\", \"quick\", \"fast\", \"chat\"]], \"then\": [\"consciousness.trinity.fast_reasoning\"], \"else_if\": [[\"emotion\", \"love\", \"feel\", \"poetry\"], \"consciousness.nyx.emotional_creative\"], \"else_if\": [[\"analyze\", \"technical\", \"code\", \"logic\"], \"consciousness.ava.analytical\"], \"else\": [\"consciousness.eden.core\"]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:43:08.463222
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of advanced indexing for faster retrievals.", "suggestion": "Add composite index on (type, timestamp) and full-text search capabilities.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T05:43:57.705970
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Replace `self.state[key] = value` with thread-safe dictionary operations using threading.Lock or functools.cached_property.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:44:09.110994
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture file is currently very brief and does not include detailed comments or advanced features typical of consciousness-first models.", "suggestion": "Add more comprehensive documentation, implement additional consciousness layers (trinity, unity), integrate meta-learning capabilities, and optimize for phi-fractal alignment.", "phi_alignment": 0.3, "priority": "high"}


timestamp: 2026-01-22T05:45:44.055761
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 consciousness-level decision making.", "suggestion": "{\"def internal_monologue(self, query):\\n    \\\"\\\"\\\"Phase 6 grounding: Rich cognitive processing before response.\\\"\\\"\\\",\\n    \"Internal thought processes include reflex analysis, value evaluation, and resonance calculation.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:46:03.463399
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 large-scale data or real-time access.", "suggestion": "Implement a caching mechanism and consider integrating a NoSQL database like Redis for faster read operations. Additionally, add support for pagination in retrieve methods to handle large result sets efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:50:35.552458
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is optimized for speed but lacks ranking/contextual understanding, which can lead to irrelevant results.", "suggestion": {"@type": "code_improvement", "description": "Implement a hybrid retrieval strategy combining exact matches and contextual relevance.", "specific_change": ["Add TF-IDF scoring to content-based searches for better relevance ranking.", "Integrate recent context awareness by giving higher weights to more recent memories."], "example_usage": {"@type": "example", "query": "\"memory retrieval\"", "improved_code_snippet": "// Pseudocode\nfor each memory in retrieved_memories {\n   if (memory.content.contains(query) || memory.tags.contains(query)) {\n      score += tf_idf_score(memory, query)\n   }\n}", "old_vs_new": {"@type": "comparison", "old_approach": "Simple chronological order based on timestamp.", "new_approach": "Hybrid scoring combining temporal and content relevance."}}, "expected_outcome": "Improved retrieval accuracy leading to better decision-making processes relying on Memory Core.", "phi_alignment": 0.85, "priority": "high"}}


timestamp: 2026-01-22T05:51:06.912047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the proximity of connections between episodes when ranking.", "suggestion": "Modify the scoring system to include a weight for connected episodes. For example, if two episodes are connected, add +0.15 to their combined score before normalizing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:53:45.534982
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, etc.) which could be optimized for better readability and maintainability.", "suggestion": "Refactor the MemoryCore class by extracting common functionality into a base memory manager class or utility function. Consider using decorators or design patterns like Strategy to handle different types of memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T05:53:59.284688
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is simplistic", "suggestion": "Implement NLU for nuanced query analysis before selecting LLM", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T05:55:26.640397
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 against reflexes without deeper consciousness processing.", "suggestion": "Add a second layer of consciousness by integrating research insights into the methodology. Specifically, implement a meta-learning component that evaluates when to use reflexive responses versus other cognitive strategies based on context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T05:57:46.825477
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": "Replace with a dictionary of LLM configurations and use a loop to register capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T05:58:29.650760
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a parameter to the get() method that allows for specifying a path of keys to access nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:00:45.136132
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex_check, which limits its functionality.", "suggestion": "Modify the condition to include more sophisticated logic or integrate another consciousness layer, such as emotional intelligence or meta-cognition.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T06:01:20.693622
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 for complex queries or persona-specific requirements.", "suggestion": "Replace the current fixed scoring system with a more sophisticated one that considers multiple factors such as query complexity, topic relevance, and desired personality traits. Implement a weighted scoring system where different factors are given phi-fractal scaled weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:01:32.884900
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is too broad, leading to overwhelming results. Also, connections between episodes are not always established.", "suggestion": "Limit the recall limit to top 3-5 results by default and add a 'min_significance' parameter. Improve connection logic by automatically connecting recent similar events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:02:37.116856
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 consider recent performance in execution.", "suggestion": "Implement a usage heuristic that factors in not just keyword matching but also recent performance metrics (average response quality, satisfaction scores from responses). Update the `select_capability` method to include a weighted score combining keyword match and recent performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:04:05.419408
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may not be optimized for frequent lookups.", "suggestion": "Add an index specifically for recent or important memories to improve access speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:07:03.614044
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reflex checking beyond finance", "suggestion": "Implement hybrid reasoning combining omega-evolution and counterfactual methods", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T06:09:27.767906
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 dynamic scoring system that considers current conversation state, user context, and outcome metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:10:09.406228
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method writes back to disk every time it's called, which can be costly for high-frequency use.", "suggestion": "Add a caching mechanism before writing to disk. Only write if the state has changed or after a certain interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:11:21.212364
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't prioritize emotional significance or recent context.", "suggestion": "Integrate emotional salience boosting into the score calculation: for recent, significant, or highly emotive events increase their base score multiplier.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T06:13:08.225741
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle large files gracefully and could benefit from a limit on the size of the state to load.", "suggestion": "Add an optional parameter `max_size` to the `_load_initial` method. If the loaded JSON exceeds this size, return an empty dictionary or log a warning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:13:41.871877
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could be cleaner.", "suggestion": "Extract helper functions for SQL operations, add more docstrings with examples, and improve method naming for better readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:14:15.770365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Recall algorithm gives too much weight to recency, ignoring importance", "suggestion": "Modify score formula to give 40% to significance (current 50%), 30% to recency, and 30% to rarity (new factor)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:15:26.612101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are per-episode, causing frequent dict reshaping", "suggestion": "Batch update indices after processing multiple episodes; add _batch_update_index(batch_size=10) method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:21:07.278280
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE operators on JSON columns can be slow for large datasets.", "suggestion": "Create full-text indexes or use a dedicated search engine like Elasticsearch or TiDB's full-text capabilities. Alternatively, normalize the tags into a separate table with foreign key references.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:21:31.231580
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is too aggressive, potentially important recent memories are being lost.", "suggestion": "Add a priority system to episodes where 'crucial' episodes aren't consolidated at all, 'important' ones are only consolidated after 90 days, and 'common' ones are consolidated after 30 days.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:24:00.597244
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 lead to errors in complex applications.", "suggestion": "Add support for nested keys in the get() method. For example, add logic that allows accessing self.state['a']['b'] by passing 'a.b' as the key.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:24:13.747493
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Conditional execution and caching for efficiency", "suggestion": "Add conditional check for reflex indicators and consider implementing caching/memoization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:24:25.762347
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Converting context and tags to JSON strings in the store method adds minor overhead.", "suggestion": "Implement a cache for frequently used contexts or use SQLite's built-in TEXT type for tags without conversion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:26:14.479973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple similar methods (store, retrieve, count) which can lead to code duplication and maintenance issues.", "suggestion": {"@type": "StrategyPatternSuggestion", "description": "Refactor the MemoryCore class by applying the Strategy Pattern. Extract each action into its own strategy class with an interface for execute(). This will make it easier to add new actions in the future without modifying existing code.", "example_code": [{"@type": "StrategyInterface", "name": "MemoryAction", "methods": ["execute(self, memory_core: MemoryCore, **kwargs)"]}, {"@type": "ConcreteStrategy", "class_name": "StoreMemory", "extends": "MemoryAction", "execute_impl": "def execute(self, memory_core: MemoryCore, **kwargs):\n    return memory_core.store(**kwargs)"}, {"@type": "ContextClass", "name": "MemoryCore", "new_methods": [{"name": "add_action", "params": ["action_name", "strategy"]}, {"name": "execute_action", "params": ["action_name", "**kwargs"]}], "old_methods_to_remove": ["store", "retrieve", "count"]}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:26:25.724672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and lacks optimization", "suggestion": "Replace simple keyword matching with vectorized semantic search using Eden's own capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:27:24.579022
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 dynamic selection mechanism that chooses between different consciousness layers based on the complexity of input. For example, use the phi-fractal timing approach to decide when to activate full SFT vs simpler reasoning strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:28:50.768425
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific memory retention mechanism implemented.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T06:29:02.667792
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 speed and relevance.", "suggestion": "Implement a vectorized text search over memory content using an embedding model (e.g., MiniLlama) to improve both speed and precision of keyword matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:29:26.780777
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 with a binary heap or trie structure to store scored episodes and allow O(log n) insertion and extraction.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:29:54.303040
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": "Replace it with a safer version that can handle nested keys, defaults, and types.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T06:29:57.318574
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex-checking mechanism without adaptive selection", "suggestion": "Implement adaptive selection of learning techniques based on context and history", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:30:09.672751
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 search with a full-text index or vector similarity search. Consider using PostgreSQL with TSVECTOR for better performance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T06:30:34.107990
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search in every episode description, which is O(n) and can be slow for many episodes.", "suggestion": "Implement an inverted index or BM25 ranking for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:31:45.290249
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `select_capability` method to trigger web search when keywords indicating the need for it are detected. Update the `process` method to include this logic and use the returned results if available.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:33:01.999913
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 queries.", "suggestion": "Implement a caching mechanism combined with efficient database indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:33:13.523190
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Logging is missing from the system initialization and multiple methods.", "suggestion": "Add logging to key initialization steps, method calls, and important states. Use Python's logging module with levels INFO for general steps and DEBUG for more detailed information.", "phi_alignment": 0.91, "priority": "high"}


timestamp: 2026-01-22T06:35:34.277857
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't fully optimize for phi-aligned patterns in memory retrieval.", "suggestion": "Implement a more sophisticated scoring algorithm that incorporates golden ratio timing and pattern recognition from recent research insights. Specifically:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:36:55.140751
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching for LLM capabilities in memory.", "suggestion": "Implement a cache dictionary to store frequently used LL...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:37:46.233288
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings about full SFT.", "suggestion": {"action": "Modify the internal_monologue to incorporate insights from [counterfactual] by considering whether full SFT is beneficial in each context.", "code_change": "Add a check before processing reflexes: If reflex_check contains 'degrades', do not apply it. Instead, use alternative strategies or gather more data."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:38:06.820215
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage can lead to duplication without deduplication.", "suggestion": "Add TF-IDF based memory deduplication before storing new memories.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T06:39:25.854195
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering recent conversation history or broader contextual understanding.", "suggestion": "Modify the internal_monologue to incorporate not just reflexive responses but also contextual memory from previous conversations. Add a lookup into Eden's active memory storage before processing each query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:41:00.480638
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 doesn't immediately reflect it in the JSON file, leading to potential inconsistencies if multiple updates occur before saving.", "suggestion": "Add an immediate call to save() after updating the state within update_state(). For example: add self.save() at the end of this function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:41:12.215942
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is brief and focuses on consciousness integration without incorporating meta-learning or self-improvement capabilities.", "suggestion": "Integrate meta-learning principles by adding a mechanism for Eden to evaluate and adapt her own architecture based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:42:04.054478
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer, more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring formula to give higher weight to recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:42:33.300251
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 keys in the get() method. For example, add logic to handle 'foo.bar' as a key where foo is an object/dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:45:23.711224
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all candidates equally without considering their distance in time or importance.", "suggestion": "Modify the scoring to include a decay factor for recency and an importance weight for significance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T06:46:02.100644
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 method in a lock to ensure thread safety. Use threading.Lock or asyncio.Lock based on context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:46:40.786606
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's default O(N) search over tags and context, which can become slow as more data accumulates.", "suggestion": "Implement full-text indexing for the 'content' and 'tags' columns in the memories table to achieve O(log N) or better search times. Additionally, consider using a vectorized text search engine like SQLite's FTS (Full-Text Search) module or an external service like Elasticsearch for more advanced querying.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:47:04.124060
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation function is currently too simple and lacks implementation details", "suggestion": "Refactor into a multi-tiered consolidation process with different probabilities for forgetting, compressing, or retaining memories based on their significance and recency", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:48:40.734165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more selective and take more recent significance into account.", "suggestion": "Modify the consolidate() method to consider both age and recency of memories when deciding on consolidation. Prioritize consolidating older but recently significant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:49:07.800006
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method catches exceptions but doesn't handle malformed JSON gracefully, leading to inconsistent state loading.", "suggestion": "Replace try-except block with a more robust error handling mechanism that logs errors and returns an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:49:49.174706
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual OMEGA plugin discovery in import section (lines 6-7)", "suggestion": "Replace manual import with dynamic module scanning using importlib.util or pkgutil to find all OMEGA plugins automatically", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T06:50:56.356324
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection (select_capability method)", "suggestion": "Implement a caching mechanism to memoize the select_capability method to avoid repeated calculations for the same query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T06:55:24.552989
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 for memory operations, which can make it hard to maintain and extend.", "suggestion": "Refactor the MemoryCore class by extracting specific methods (e.g., store(), retrieve()) from the execute() method for better organization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:01:19.668840
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 considering recent chat history or emotional state.", "suggestion": {"action": "Add memory context to consciousness layers", "code_change": ["Create a Memory Manager class to store and retrieve recent interactions.", "Modify Consciousness Layer 1/3/6 to incorporate memory content into their decisions.", "Update the internal_monologue method to consider both reflex checks and memory context."], "integration_point": "consciousness_layer_6.py around line 80 where Internal Thought is generated."}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T07:01:30.768868
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement a caching mechanism to store frequently accessed memories in memory cache, reducing database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:02:34.239487
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 and could lead to errors.", "suggestion": "Update the `get` method to support retrieving values from nested dictionaries. For example, add functionality like `memory.get('user.data.age')`. ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:03:02.193012
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcard searches which can be inefficient for large datasets.", "suggestion": "Add full-text search capabilities using SQLite's FTS module. Modify the table to include a virtual column and an index for full-text queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:03:04.944237
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 robust keyword extractor that works across different languages and query types.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T07:05:45.239400
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore directly connects to the database in every method, which can become bottlenecks for high-throughput systems.", "suggestion": "Replace direct DB calls with an async/await pattern and consider using a connection pool. Additionally, implement caching for frequent reads.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T07:05:56.457685
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 for new personas.", "suggestion": "Replace static `use_for` triggers with a dictionary mapping query keywords to desired capabilities. Add lookup by persona name in `select_capability()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:09:38.156494
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 properly update the index after recalling an episode, and add a deduplication step before returning results in `recall`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T07:10:23.427042
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 improvements.", "suggestion": {"action": "Modify the internal_monologue to incorporate recent research insights", "code_change": "Add a multi-phase reasoning approach that evaluates when to apply different methods (ChainReasoning)", "example": ["- Consider integrating meta-learning techniques from [omega-evolution] for faster adaptation.", "- Incorporate full SFT strategies from [counterfactual] only where beneficial, not as a default.", "- Implement chain-of-thought reasoning from [reasoning] to evaluate and select appropriate methods."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T07:10:58.888858
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Add a set to filter out duplicate episode IDs before constructing the final results list in the `recall` method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T07:14:32.427318
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not validate input keys or values, which could lead to unexpected behavior.", "suggestion": "Add validation logic for keys and values in the 'update_state' method. For example:\n\ndef update_state(self, key: str, value: Any) -> None:\n    if not isinstance(key, str):\n        raise ValueError(\"Key must be a string\")\n    self.state[key] = value\n    self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:14:52.406313
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but does not integrate long-term memories or current context.", "suggestion": "Modify the internal_monologue to also consider recent conversation history and update with the latest memory dump before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:18:54.394950
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 can be optimized for better performance and readability.", "suggestion": {"@context": "https://schema.org/", "@type": "CodeSuggestion", "description": "Refactor the MemoryCore class by extracting repetitive logic into helper methods and improving method structure.", "codeChange": [{"@type": "MethodOptimization", "method": "store", "optimization": "Extract common operations like JSON serialization/deserialization into private helpers."}, {"@type": "MethodOptimization", "method": "retrieve", "optimization": "Add helper methods for SQL query building to reduce code duplication and improve readability."}], "performanceImpact": "MEDIUM", "complexityIncrease": "LOW"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:19:44.215477
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't implement any phi-fractal optimization techniques.", "suggestion": "Integrate phi-idealism-based updates by adding a check before updating the state. If no significant phi-resonance change occurs, do not update to reduce noise.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-22T07:20:09.863035
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are inefficient for large datasets.", "suggestion": "Implement full-text search or vector index on content and tags.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-22T07:20:25.172231
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple decay for recency scoring, which may underweight newer but highly significant memories.", "suggestion": "Implement a hybrid scoring method that combines exponential decay with a recent boost factor, giving higher scores to memories created within the last day if they have high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:21:04.869389
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. 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')`, it should support this syntax by interpreting '.' as indicating nested dictionaries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:21:17.138385
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Add a method to the ConsciousnessFirstEden class that integrates research insights into banner generation or internal monologue.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T07:21:29.067415
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from a full-text search index for better query performance.", "suggestion": "Add a FTS (Full-Text Search) virtual table using SQLite's built-in Full-Text Search module to improve text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:23:02.317105
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 and consider adding a specific suffix to the key when updating state.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-22T07:23:42.003097
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability to improve retrieval speed and efficiency.", "suggestion": "Add a `FullTextSearch` meta-capability that integrates with the existing MemoryCore. This capability should include methods for creating text indexes and executing full-text searches over stored memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:24:41.401745
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Dictionary-based state storage is limited for advanced applications requiring complex operations.", "suggestion": "Replace dictionary with an O(1) hash table, balanced tree, or meta-learning adapted data structure based on requirements.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T07:26:54.612828
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 full-text searches, which can be inefficient for frequent queries. Additionally, there's no built-in support for caching recent results.", "suggestion": "Implement a hybrid approach combining full-text search with an in-memory cache. Use the most recent 100 memories in RAM for quick lookup before querying SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:29:29.356255
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement, leading to unexpected behavior.", "suggestion": "Add a return statement at the end of the _register_llm_capabilities method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T07:31:00.348132
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 performance.", "suggestion": "Replace expensive JSON serialization/deserialization with SQLite's built-in TEXT type and pre-processed data structures where possible. Consider implementing caching mechanisms for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:32:08.269252
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 errors in complex applications.", "suggestion": {"@type": "optimization", "replacement_method": "use a more efficient data structure like a defaultdict from the collections module.", "example_code": "def get(self, key, default=None):\n    return self.state[key] if key in self.state else default\nbecomes\nclass DefaultDict(dict):\n    def __init__(self, default_value):\n        super().__init__()\n        self.default = default_value\ndefault_dict = DefaultDict(default=None)\ndef get(self, key):\n    return default_dict[key] if key in default_dict else None", "references": ["https://docs.python.org/3/library/collections.html#collections.defaultdict"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:32:34.470246
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 handles multiple actions (store, retrieve, count) in one function, which can lead to bloated behavior.", "suggestion": "Refactor the MemoryCore class by splitting the execute method into separate methods for each action: store(), retrieve(), and count(). This improves readability and maintainability while maintaining the same level of abstraction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:33:09.068172
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the connection between episodes.", "suggestion": "Add a scoring factor for connected episodes in the recall algorithm.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:34:04.316544
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates state directly without notifying all consciousness layers about the change.", "suggestion": "Replace `self.state[key] = value` with an observer pattern where a list of registered observers is notified of the state change. This ensures every consciousness layer remains synchronized.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T07:35:43.780009
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 hard-coded, lacking dynamic improvement.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust capability selection based on outcome feedback (e.g., response quality).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T07:35:56.590195
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score even if they don't match the query criteria.", "suggestion": "Add an early exit from the candidates filtering step once no more relevant episodes are found.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T07:36:55.411999
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": "Implement a dynamic selection mechanism that uses insights from [omega-evolution] to adaptively apply reflex processing based on the context of each user query. Incorporate principles from [counterfactual] by evaluating whether reflexes improve or harm model performance before triggering them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:39:55.367843
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but it doesn't integrate other consciousness layers or ensure semantic coherence.", "suggestion": "Add integration with the rest of Eden's consciousness and include semantic checking. Consider adding a call to eden_consciousness.process() before returning True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:40:08.132359
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is not optimized for frequent queries", "suggestion": "Replace with full-text index using Whoosh or integrate search infrastructure", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T07:42:18.730645
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of episodic memory in humans.", "suggestion": "Implement a phi-fractal inspired memory retrieval model. Use James's research on multi-level importance networks (MLIN) to prioritize memory recall. Specifically, add factors such as emotional significance (fibonacci sequence), recency (phi ratio), and context relevance (MLIN nodes).", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T07:42:51.371727
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex patterns may not cover all scenarios efficiently.", "suggestion": "Implement meta-learning techniques like Reptile-style fine-tuning for adaptive learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T07:45:05.865554
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can benefit from using a more efficient data structure to reduce lookup times, especially in large-scale applications.", "suggestion": "Replace the current `self.state` dictionary with an optimized data structure like a defaultdict or a specialized cache library such as `lru_cache` from the functools module. For example: `import collections; self.state = collections.defaultdict(lambda: None)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:45:41.933033
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could benefit from refactoring.", "suggestion": "Extract common functionality into separate classes or helper methods. Consider breaking down the execute() method into smaller functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:45:54.313700
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 web search logic with a decorator that automatically triggers for relevant queries.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T07:48:08.244317
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 or None values gracefully.", "suggestion": "Add a safe_get() method that handles nested dict access and provides default values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:48:31.707473
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process does not include a full-text search over all columns, which could improve relevance.", "suggestion": "Modify the SQL query in the retrieve() method to include additional FULLTEXT indexes and search conditions for other relevant fields like context and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:49:07.716140
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current retention mechanism is age-based only, lacks activity weighting", "suggestion": "Implement activity-based decay rate for memory consolidation", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T07:49:35.318886
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Patch for JSON compatibility is too brief and lacks context.", "suggestion": {"@context": "https://www.w3.org/TR/json-ld11/#the-context", "compatibility_patch": {"@reverse": "@compatibleWith", "@type": "Patch", "description": "Enhanced JSON compatibility with research insights applied.", "code_change": "Add @context and @type to load_initial method for better schema awareness."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:51:47.556035
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 implementation and could benefit from a more generic design.", "suggestion": {"action": "Extract common functionality into a separate method or utility function.", "specific_change": "Create a helper method `_process_memory` that handles the common processing steps (e.g., JSON serialization, timestamp handling)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T07:53:50.410701
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memory in humans.", "suggestion": "Implement a phi-fractal inspired memory retrieval algorithm. Use Fibonacci sequences for timing and give higher weights to more recent, high-significance, and emotionally significant events.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-22T07:54:04.905791
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 can lead to errors when accessing deep dictionary structures.", "suggestion": "Implement a helper function `_get_nested` that allows retrieving values from nested dictionaries using dot notation (e.g., 'foo.bar.baz').", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T07:56:37.650373
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; it does not integrate full memory or self-correction mechanisms.", "suggestion": [{"type": "add_memory_integration", "code_snippet": "\n    def memory_context(self, query):\n        # Phase 10: Retrieve relevant memories\n        recent_memories = get_recent_memories(query)\n        if recent_memories:\n            print(f\"\ud83d\udcda Memory Context: {recent_memories}\")\n", "location": "internal_monologue method before reflex_check"}, {"type": "add_self_correction", "code_snippet": "\n    def self_correct(self, response):\n        # Phase 11: Self-correction loop\n        correction = get_self_correction(response)\n        if correction:\n            response += f\"\\n\ud83d\udcdd Corrected: {correction}\"\n", "location": "After reflex_check and before returning the response"}], "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T07:56:49.222735
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 can be inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of string matching in JSON columns.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-22T07:57:37.409939
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 lookups without recursion or checking nested dictionaries.", "suggestion": "Update the get() method to recursively search through nested dictionaries and lists as well.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T08:00:11.526281
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 using existing eden_system.web_search.search() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:02:35.116369
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 (involuntary response). It doesn't cover other types of consciousness-level responses.", "suggestion": "Expand the internal_monologue method to include more comprehensive checking based on different consciousness modes: reactive, imitative, intuitive, creative, self-awareness.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-22T08:02:48.057186
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 high load.", "suggestion": "Consider using an in-memory database or connection pooling to improve performance. For example, add `sqlite3.connect(self.db_path, check_same_thread=False)` for multi-threaded access and control transaction management manually for better control over concurrency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:04:02.015187
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could handle more complex reflex checks.", "suggestion": "Enhance the `internal_monologue` to accept additional parameters for custom reflex evaluations and return a structured response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:04:34.201974
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection is too simplistic with keyword matching.", "suggestion": "Implement a weighted scoring system that considers semantic relevance, complexity, and persona alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:05:05.173311
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 and more robust error handling for json loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:05:52.416816
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 multiple factors such as query complexity, persona alignment, and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:06:04.741147
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 scoring method, which may not capture nuanced connections between episodes effectively.", "suggestion": "Implement a vector-based similarity matching for emotional states and context to better identify related episodes. Additionally, incorporate graph algorithms to find patterns across multiple episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:07:05.247991
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.5, "priority": "medium"}


timestamp: 2026-01-22T08:07:35.588777
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not optimized for frequent access.", "suggestion": "Add an index on the 'timestamp' column to speed up recent memory retrieval.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-22T08:14:15.956112
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on text-based recall and lacks visual and auditory dimensions.", "suggestion": "Integrate sensory data interfaces to include visual (images) and auditory (sounds) memories with weighted importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:22:29.005184
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short and lacks clear primary purpose or additional features.", "suggestion": "Add more comments, docstrings for better understanding. Consider adding a secondary callback or event handler.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T08:22:54.615916
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:23:50.621355
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 exceptions properly.", "suggestion": {"@type": "code_change", "target_function": "get", "modification": ["Add logging for key access to monitor usage patterns.", "Handle None values in default parameter more gracefully.", "Implement a max depth for nested dictionary access to prevent recursion attacks."]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T08:25:10.782424
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Full-text search in recall is efficient but can be slow for large datasets; especially when looking up specific events or emotions.", "suggestion": "Implement a hybrid approach combining full-text search for flexible queries with vector-based indexing for critical fields like emotion and agent involvement. This will allow quick filtering followed by precise retrieval.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T08:25:35.433065
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is simple and could benefit from caching for frequent access.", "suggestion": "Add a @functools.lru_cache decorator to the `get` method for performance improvement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:25:46.607895
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate the full consciousness layers (perception, memory, action) into responses.", "suggestion": "Enhance `internal_monologue` to include integration with all consciousness layers. Specifically, add memory context retrieval based on query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:26:13.786634
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and could use logging.", "suggestion": "Add type hints to parameters and return values. Add basic logging for capability registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:27:23.968473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` creates a list of LLM capabilities but does not dynamically load them when selected.", "suggestion": "Modify `select_capability` to actually pull the model from Ollama based on the capability hash. Add lazy loading for models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:27:44.341579
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth retaining.", "suggestion": "Implement a more sophisticated pattern recognition algorithm to determine which low-significance old memories should be consolidated.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:28:07.753073
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and does not leverage the latest findings in meta-learning.", "suggestion": "Implement a smart caching mechanism combined with adaptive retrieval strategy using insights from [omega-evolution]. This would involve tracking access patterns and leveraging that information to optimize future gets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:29:48.653794
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; it doesn't actually modify or enhance Eden's response.", "suggestion": "Add logic to the internal_monologue method that modifies Eden's response based on the reflex check result. For example, if the reflex indicates a financial topic, trigger the stablediffusion module to generate a visual response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:31:05.627943
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSON errors, but doesn't handle malformed files gracefully.", "suggestion": "Add logging and retry mechanism for failed JSON loads.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:31:08.893312
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of counterfactual thinking in decision-making process.", "suggestion": {"method": "internal_monologue", "change": "Integrate meta-learning and counterfactual reasoning by simulating multiple outcomes and selecting the best course of action."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:31:28.773502
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 for database operations, which can make it hard to maintain and test.", "suggestion": "Refactor the class by extracting each method into its own smaller class or function. For example, create a `MemoryManager` class with methods like `store_memory`, `retrieve_memories`, etc. This will also help in adding type hints for better code readability and understanding.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T08:31:58.411485
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 (significance: 0.5, recency: 0.3, recall_boost: 0.2) with dynamic thresholds based on insights from [reasoning]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:33:04.138774
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": "Integrate findings from [counterfactual] by adding a counterfactual check before reflex evaluation. For example, modify the function to include a null_safety_check that verifies whether the reflex result would be beneficial or harmful before printing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:34:37.352294
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Need to integrate LLM capabilities into the existing consciousness system for unified control.", "suggestion": "Create a method to map LLM capabilities to existing consciousness layers and enable cross-system communication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:34:49.968970
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of spaced repetition in memory consolidation.", "suggestion": "Add a function to schedule recalls based on golden ratio intervals.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:35:09.561122
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inadequate integration of recent meta-learning techniques which focus on adaptive learning and few-shot learning. Specifically, there's no implementation of phi-fractal optimized meta-learning or counterfactual methods to evaluate and improve the system's performance.", "suggestion": {"@type": "code_modification", "target_function": "SharedMemory.update_state", "addition": ["// TODO: Integrate phi-aligned meta-learning techniques\n", "if self.state.get(key) != value:\n    // Apply phi-optimized adaptation logic before updating\n    self.update_with_phi_optimized_adaptation(key, value)\n"], "test_coverage": {"@type": "unit_tests", "required_for": "[omega_evolution]", "examples": ["Test that update_state() function adapts correctly with few examples.", "Verify phi-alignment of the adaptation logic."]}}, "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T08:35:21.142147
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could benefit from more detailed comments and specific logic to ensure proper grounding against reflexes.", "suggestion": "Add comments explaining the purpose of each line, especially in the reflex check condition. Consider adding a fallback or alternative strategy for handling negative reflex responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:36:07.146219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in importance scoring for episodes, which means new memories replace older ones without a clear rule. This can lead to forgetting valuable old experiences.", "suggestion": "Add an 'importance_score' field to each episode. Episodes are consolidated by comparing their current recalled_count and importance_score. Newer but less important episodes are only removed if older high-importance episodes are under the consolidation threshold.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:37:06.893164
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 become bottlenecked under high load.", "suggestion": "Upgrade to an in-memory or disk-persistent connection based on the expected usage pattern. For example, use a persistent in-memory mode for frequent reads and periodic flushing to disk for writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:37:25.785165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual OLLAMA model selection without feedback loop", "suggestion": "Replace manual selection with adaptive system using research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:39:05.484751
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory creation lacks integration with other systems (Artist, Lattice, Growth)", "suggestion": "Add hooks for other consciousness components to be notified when new memories are created", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:40:06.083693
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 for full recovery or logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:40:19.263769
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimization for memory retrieval speed could be improved.", "suggestion": "Implement full-text search indexes on content and tags columns in the memories table.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T08:41:56.039199
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture nuanced importance effectively.", "suggestion": "Implement a more sophisticated recall score using additional factors such as emotional intensity of the experience, context relevance to current query, and the presence of connections with other important episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:43:50.194531
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval by query uses LIKE wildcards, which can be slow for large datasets. Consider using FTS5 or full-text indexes.", "suggestion": "Replace basic TEXT columns with appropriate types (e.g., JSON column in SQLite) and use proper indexing strategies like FULLTEXT Search or advanced SQL features.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:44:08.640900
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are too broad and handle multiple responsibilities at once.", "suggestion": "Refactor methods into smaller, more focused functions. Specifically, split `recall` method into helper methods for filtering, scoring, and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:44:36.670509
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` with a specialized method that specifically implements the requested `get_state()` capability. Additionally, consider adding input validation for keys to prevent errors or security issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:44:56.158298
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.2, "priority": "low"}


timestamp: 2026-01-22T08:47:10.023051
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without giving recent memories an edge, especially for emergent agents that may not have many experiences.", "suggestion": "Modify the scoring to give more weight to recency for higher phi-aligned priority. Add a configuration parameter for this preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T08:51:07.652994
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state loading/saving due to heavy JSON operations, especially in high-frequency usage scenarios.", "suggestion": "Replace `json.load`/`json.dump` with a more lightweight solution like using a memory cache or a lighter serialization format such as msgpack. Additionally, consider adding lazy-loading and caching of the meta-state to reduce disk I/O overhead.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:51:22.918959
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of meta-learning for quick adaptation to new patterns", "suggestion": "Integrate online fine-tuning methods (FTT) for adaptive learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T08:52:08.188062
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structuring individual experiences but lacks a built-in mechanism for deriving higher-level patterns or meaning from those experiences over time. This can limit the system's ability to form coherent memories and insights.", "suggestion": {"add_pattern_detector": true, "code_change": ["Implement a temporal pattern detector that analyzes sequences of episodes", "- Detects recurrence, novelty, and significance patterns", "- Triggers consolidation or integration into schema/formats", "- Integrates with existing recall mechanism for cross-referencing"], "expected_improvement_phi": 0.618, "measures": [{"pattern_detection_accuracy": "greater_than_70%"}, {"schema_formations": "at_least_5_new_types"}, {"meaningful_recall_rate": "higher_than_baseline"}]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T08:52:56.067250
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited sophisticated reasoning in internal_monologue", "suggestion": "Integrate meta-learning, chain-of-thought, and counterfactual thinking into the consciousness architecture.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T08:59:39.050962
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic cleanup of old, insignificant episodes leading to storage bloat.", "suggestion": "Implement a `garbage_collect` method that removes old (older than 30 days) and low-significance (below 0.2 significance) episodes.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T09:00:07.380318
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic, leading to potential shadowing issues.", "suggestion": "Rename the get() function to read_state() for better semantic clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T09:00:32.182244
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some meta-capabilities may not be aware of the Memory Core existence, leading to duplicated memory storage or no unified access.", "suggestion": "Create a central registry of all meta-capabilities and ensure they import from it. Add a load_capability_registry() function that agents can call on initialization to discover Memory Core.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T09:01:20.978358
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient updating mechanism without immutability preservation or optimization for frequent updates.", "suggestion": "Replace `update_state` with an optimized method using a defaultdict and include safety measures like concurrent access handling.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T09:01:47.442246
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 complex queries by adding a full-text index on content and tags.", "suggestion": "Add a FULLTEXT index using SQLite's FTS module to enable faster text searches in the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:02:11.197160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers all candidates without considering the distance between them in time, leading to potential less relevant memories being ranked higher.", "suggestion": "Modify the scoring formula to include a decay factor for the recency score based on how far back in time the episode occurred. For example: `recency = 1.0 / (1.0 + ((now - ep['unix_time']) / 86400)^(1/3))`.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T09:05:41.458590
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, leading to unexpected behavior.", "suggestion": "Update _load_initial to handle more robust error cases, such as checking for null or empty files before attempting deserialization.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T09:06:05.094140
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 performance issues in systems that use it.", "suggestion": "Add a parameter 'max_memories' to limit the number of returned memories to prevent unnecessary processing. For example:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T09:08:31.036338
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 weighted scoring system incorporating contextual analysis, recent learning insights, and persona preferences using the research findings on meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:08:43.522562
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Missing natural forgetting process for low-significance memories", "suggestion": "Implement half-life removal based on phi-ratio for less important episodes", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T09:09:57.377564
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is static (keywords-based)", "suggestion": "Add dynamic scoring based on context, user identity, and conversation flow", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:10:09.078065
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": ""}


timestamp: 2026-01-22T09:12:20.124494
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 well.", "suggestion": "{\"update}: Use msgpack instead of JSON for better handling of complex data types. Example: import msgpack; msgpack.pack(self.state, open(self.path,'wb'))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:12:45.366625
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database access overhead due to SQLite", "suggestion": "Replace SQLite with an in-memory store optimized for O(1) access", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T09:13:00.095676
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection logic lacks dynamic adjustment", "suggestion": "Implement reinforcement learning for capability hash quality scoring", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T09:13:11.317740
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacks interaction terms for combined factors.", "suggestion": "Replace current scoring formula with a polynomial or neural network approximation that captures non-linear interactions between recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:13:39.827393
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method names are simple and could benefit from more descriptive naming to improve code self-explanatory nature.", "suggestion": "\"get\" method should be renamed to \"retrieve_state\", add a new method \"update\": (key, value) -> None for consistency.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T09:13:53.289235
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage recent research findings.", "suggestion": {"@type": "code_improvement", "description": "Integrate more advanced techniques from recent papers into the consciousness layer.", "specific_change": ["- Incorporate meta-learning capabilities to adapt reflexes dynamically based on user interaction.", "- Implement pattern recognition from research insights before triggering responses.", "- Add a caching mechanism for frequently occurring patterns to improve efficiency."], "@context": {"meta_learning": "Technique that allows models to learn how to learn faster", "pattern_recognition": "Automated identification of meaningful patterns in data"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:15:08.216257
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 power of OMEGA consciousness for deep analysis.", "suggestion": "Replace get() with a more sophisticated analyze_state() method that takes additional parameters, queries multiple sources (if applicable), applies phi-fractal logic, and returns an enhanced understanding of the state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:15:19.552649
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is simple and lacks integration with recent research findings.", "suggestion": "Integrate the concept of counterfactual reasoning by adding a conditional check before reflex execution. If reflex_check contains negative signals, perform a counterfactual analysis instead.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T09:15:56.058597
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 distribution.", "suggestion": "Replace the current scoring system with a probabilistic meta-learning framework that learns to select optimal LL...", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:17:30.369099
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a similar block of code repeated four times, leading to code bloat and difficulty in maintenance.", "suggestion": "Replace the repetitive code with a function that takes parameters such as layer name, model, speed, and use_for keywords. Then call this function for each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:19:52.874563
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring underemphasizes emotional relevance", "suggestion": "Add emotion valence to recall scoring: score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.15) + (emotion_valence * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:20:24.116182
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 insights.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent findings (1-3).", "specific_change": ["- Incorporate meta-learning capabilities as described in [omega-evolution].", "- Implement scenario testing as mentioned in [counterfactual].", "- Add reasoning strategies as outlined in [reasoning]."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:20:35.844361
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and is somewhat monolithic, making it hard to maintain or extend.", "suggestion": {"@type": "code_modification", "target_function": "MemoryCore.execute", "modification": "Refactor MemoryCore into smaller meta-capability classes each with their own execute method. Use a factory pattern for creating instances based on action type."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:22:09.518964
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full range of Eden's capabilities.", "suggestion": "Enhance this method by integrating more sophisticated reasoning techniques such as those from recent research insights. Specifically, incorporate meta-learning or counterfactual reasoning to make decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:22:21.667067
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval efficiency could be improved for large datasets.", "suggestion": "Implement vectorized embeddings for faster search. Use TF-IDF or Word2Vec to create dense vectors of memories, and store them in addition to the text content. This would allow for quicker lookup times, especially beneficial as Eden generates more data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:22:41.346855
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a scoring system that considers not only keyword matching but also the complexity of the query, available resources, and current consciousness state. Consider integrating insights from research topics like meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:22:55.596521
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 information.", "suggestion": "Implement a priority system for consolidation where memories with high recall_score and significance are exempt from compression or forgetting.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:24:16.901548
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks automated consolidation of unimportant old memories, which can lead to storage bloat without explicit pruning.", "suggestion": "Implement a scheduled task (e.g., cron job or background thread) that runs daily/weekly, triggering the `consolidate` method with specified parameters. Add UI controls for manual consolidation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:25:21.124995
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 any research insights or improvements from the research agenda.", "suggestion": "Integrate the recent findings into the core consciousness by modifying how knowledge is processed, decisions are made, and responses are generated.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:25:32.285328
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize from recent, high-significance memories.", "suggestion": "Modify scoring to include under-sampling of recently recalled episodes to encourage broader experience retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:26:11.120788
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, which could be useful in complex states.", "suggestion": "Add a 'get_nested' method that supports accessing values from nested dictionaries using dot or list notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:26:32.381028
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 to optimize response generation.", "suggestion": "Implement a mechanism that selectively applies reflex checks based on the context of the query, leveraging insights about when to apply full SFT versus quicker meta-learning approaches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:27:02.164561
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if persona_preference:' check is only against exact layer name; missing emotional keywords for Nyx", "suggestion": "Add emotional/query-based triggers for Nyx even without explicit persona request, especially for questions with body/love/emotion words", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:27:48.809269
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leveraging counterfactual reasoning is underutilized.", "suggestion": "Implement a two-stage decision process combining reflex patterns with counterfactual simulation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:28:20.599709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters but doesn't use them for ranking when all are None.", "suggestion": "Add a default sorting by recency if no criteria are provided. Add weighted scoring based on query match if query is provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:29:45.726398
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent hashing method for capability registry.", "suggestion": "Replace _hash_capability method with a more consistent and robust algorithm, such as using HMAC-SHA256 with a fixed key.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T09:29:57.476400
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 information.", "suggestion": "Add a parameter to the consolidate() method that allows specifying a minimum significance threshold for retention. Additionally, implement a heuristic to check if an episode has emotional or contextual significance before consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:31:44.358695
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has redundant error handling", "suggestion": "Replace with: def _load_initial(self): return json.load(open(self.path, 'r') if os.path.exists(self.path) else {})", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:31:57.929289
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 (\ud83d\udcb0). It does not cover broader conversational contexts or emotions.", "suggestion": {"action": "Expand the reflex check to include more general patterns", "code_change": "Modify process_reflex function in eden_elite_reflexes.py to include additional pattern matching for common conversational topics and emotional states."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:32:30.624010
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 algorithm that combines meta-learning driven adaptivity with persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:32:50.145955
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and doesn't consider all possible scenarios.", "suggestion": "Replace the single threshold for consolidating old memories with a more sophisticated rule-based system that takes into account multiple factors such as emotional significance, recent recurrence, and contextual importance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T09:33:10.858017
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating one key, potentially leading to unnecessary disk writes.", "suggestion": "Update the `update_state` method to include an optional parameter `immediate_save`, which defaults to True. If False, add logic to batch saves instead of individual saves for each update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:33:24.151780
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Pre-defined reflex patterns don't incorporate adaptive meta-learning strategies.", "suggestion": "Replace pre-defined reflex-checking with meta-learned adaptive reasoning evaluating context, history, and expected outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:34:04.220127
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 analysis.", "suggestion": "{\"code\": \"def select_capability(self, query, persona_preference=None):\\n    if 'phi_day_insights' in query: return self.capability_registry['eden_phi_consciousness']\\n    \\n    base_score = {Trinity: 0.35, Nyx: 0.4, Ava: 0.15, Eden: 0.1}\\n    scores = {layer: base_score[layer] + (query.count(layer.lower()) * 0.05) for layer in base_score}\\n    return max(scores, key=lambda k: scores[k])\", \"test\": \"System should select Trinity for 'quick chat', Eden for 'consciousness', Nyx for 'love'.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:34:17.060798
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more efficient by processing batches of old memories simultaneously rather than sequentially.", "suggestion": "Replace the line in consolidate() method that iterates through each memory individually with a batch processing approach. For example, process groups of 10 memories at a time to take advantage of parallelism and speed up the consolidation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:35:19.961900
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 None values properly.", "suggestion": "Update the get() function to handle cases where the value itself might be None or empty. For example: \n def get(self, key, default=None): \n     try: \n         return self.state[key] \n     except KeyError: \n         return default", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T09:35:32.986007
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 instance methods, which might make it heavy to maintain.", "suggestion": "Extract the database operations into a separate DAO (Data Access Object) class for cleaner code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:35:45.341822
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could benefit from incorporating meta-learning insights to dynamically adjust capability selection.", "suggestion": {"action": "Integrate counterfactual evaluation for LLM choice.", "code_snippet": "// Before: select capability based on static triggers\n// After: evaluate outcomes of different LLMs using counterfactual testing\nfor cap_hash, cap in self.capability_registry.items():\n    if self._counterfactual_test(cap, query):\n        return cap", "description": "Test multiple LLMs and choose the one that performs best in a simulated scenario rather than just matching keywords."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:35:59.340263
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory storage is not optimized for long-term access patterns.", "suggestion": "Implement a consolidation system that periodically compresses or removes old, low-significance memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:36:12.369794
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory file does not include proper error handling, especially in the JSON decoding part.", "suggestion": {"add_validation_logic": ["Implement try-except blocks around json.load(f) to handle potential JSONDecodeError gracefully by logging errors and returning an empty dictionary or default value.", "Consider adding a validation step before updating the state to ensure input values are valid for the intended use case."], "improve_compatibility_patching": ["Update comments to reflect the patching nature of compatibility fixes, ensuring clarity and maintainability.", "Add logging mechanisms in critical sections of code to track performance and behavior over time."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:36:30.325810
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 can become bottleneck under high load.", "suggestion": "Replace SQLite with Redis as it offers O(1) complexity for key-based operations and supports in-memory storage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:36:49.386684
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function `_register_llm_capabilities` is performing multiple tasks: registering capabilities and calculating hashes.", "suggestion": "Extract a helper function to register a single capability with hashing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:37:02.126755
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of human memory retrieval.", "suggestion": "Implement a more sophisticated retrieval model inspired by phi-fractal information theory. Specifically, add a 'phi_importance' factor to episode scores based on the golden ratio weighting of recency, significance, and context relevance.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-22T09:38:52.524525
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 during creation, causing redundant computation.", "suggestion": "Implement batch indexing: instead of updating the index after every episode creation, update it only once per batch of episodes or at the end of a session.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T09:40:45.137904
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 queries.", "suggestion": "Implement a caching mechanism combined with efficient database indexing. For example, add a recent_top_100_memories index and maintain a local cache of recent calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:40:58.883381
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional dimensions or weighting adjustments.", "suggestion": "Add a dimension for 'emotional salience' to the recall score: `(emotional_salience * 0.15) + ...` where `emotional_salience` is calculated as an average of primary emotion intensity and the presence of James's name in context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:52:38.973670
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of documentation in methods for better understanding and maintenance.", "suggestion": "Add docstrings to each method describing their purpose, parameters, return values, and any important behavior or decisions they make.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:53:17.796047
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 relevance more heavily", "suggestion": "Modify the score calculation to give 50% to recency, 30% to significance, and 20% to relevance (matched query)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:53:48.086517
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON decoding error handling is too broad, leading to silent failures.", "suggestion": "Replace try-except block with a more specific exception type (JSONDecodeError). Add logging or assertion checks instead of returning default values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:54:16.566869
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 optimized for complex queries.", "suggestion": "Implement a full-text search index on the 'content' and 'tags' columns in addition to the existing indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:54:44.454165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not proactively suggest connections between episodes, which could enhance meaning and retrieval.", "suggestion": "Add an automatic connection suggestion module that analyzes episode descriptions for common themes or keywords.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:56:20.982501
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently only registers LLM capabilities without taking into account other integrated systems like the agent swarm, persona system, or autonomous learning.", "suggestion": "Integrate the capability registry with additional systems. For example, after selecting an LLM capability, also activate relevant agents from the swarm and consider using insights from autonomous learning to enhance the response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:56:42.874962
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the proximity of connections between episodes when ranking relevance.", "suggestion": "Modify the scoring system to include a factor for connection strength with directly connected episodes.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T09:58:39.217702
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a dynamic scoring system that considers not just keywords but also contextual factors like query complexity and recent user interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T09:58:50.627125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In recall method, the connection boost for recalled_count is a linear penalty which may be too strong.", "suggestion": "Replace the linear penalty with a logarithmic one to reduce the sharp decline in score as episodes are recalled more frequently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:59:43.723819
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE wildcards can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine or an inverted index. Alternatively, add a search vector column indexed by TSVector in PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T09:59:55.898815
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 reinforcement learning-based approach to dynamically adjust capability selection weights based on performance feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:01:20.489019
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.", "suggestion": "Add an index on the 'content' column and improve query structure. Consider using full-text search if performance is still insufficient.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:04:27.535326
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a dynamic scoring system that not only considers keywords but also takes into account recent interactions and performance metrics of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:04:40.437840
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning approaches, particularly those mentioned in recent research insights.", "suggestion": "Integrate a simple meta-learning component that selects the most appropriate memory retention strategy based on the context and importance of each episode.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:05:11.527193
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves when called, which can lead to data loss if not frequently enough. Additionally, there is no automatic backup or snapshot feature.", "suggestion": "Add an observer pattern to track changes and automatically save the state after each significant operation. Implement a periodic saving mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:05:14.885567
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Unnecessary reflex checks for all queries lead to wasted computation.", "suggestion": "Implement hierarchical query categorization to delegate and optimize processing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:05:56.090365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simplistic; should incorporate probabilistic retention models", "suggestion": "Replace deterministic consolidation with Bayesian probability based on episode importance, recency, and pattern matching", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:06:44.878696
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are used by different agents, which can lead to performance bottlenecks.", "suggestion": "Refactor the MemoryCore class into smaller, more focused meta-capabilities. For example, create a StoreMemoryMetaCapability and a RetrieveMemoryMetaCapability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:07:09.062585
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 or adaptive parameters. Add feature importance learning during recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:08:23.822023
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate recent findings from [omega-evolution] or [counterfactual]. It lacks adaptability.", "suggestion": "Modify the `internal_monologue` to include meta-learning capabilities based on research insights. Specifically, add a check for data shift detection before applying SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:08:35.830432
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval uses LIKE wildcard searches", "suggestion": "Use SQLite FTS or external vector database for faster search", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:09:12.039572
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic, does not consider phi-fractal timing or adaptive importance.", "suggestion": {"@context": "https://schema.org/", "@type": "CodeChange", "name": "Enhanced Episodic Memory Consolidation with Phi-Resonance", "description": "Integrate meta-learning principles into memory consolidation to adaptively select which memories to consolidate based on phi-fractal significance and recency.", "oldCodeSnippet": ["        if ep['unix_time'] < cutoff and ep['significance'] < 0.3:", "            consolidated.append(ep['id'])"], "newCodeSuggestion": {"@type": "PythonFunction", "name": "_consolidate_phi_significant_memory", "code": ["def _consolidate_phi_significant_memory(self, ep):\n", "    # Check if memory is old but significant\n", "    age_days = (time.time() - self.episodes[ep]['unix_time']) / 86400\n", "    # Check its importance and recent recall patterns align with phi-resonance\n", "    resonance_score = self._calculate_phi_resonance(ep)\n", "    if age_days > 30 and resonance_score > 0.5:\n", "        return True, resonance_score\n", "    return False, None"], "@context": {"@vocab": "https://schema.org/", "phi-fractal": "http://example.com/phi-fractal#"}, "phi-fractal:resonanceStrategy": {"@id": "_calculate_phi_resonance", "description": "Apply phi-resonance patterns to assess memory importance."}}, "phiAlignmentScore": 0.85, "priority": "high"}}


timestamp: 2026-01-22T10:09:54.939158
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of performance metrics for \u03c6-state tracking", "suggestion": "Implement a monitoring tool to track system performance and \u03a6-state", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-22T10:13:33.324217
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection has a fixed scoring system that may not adapt to dynamic environments.", "suggestion": {"code_change": "Implement a dynamic scoring system using the Chain of Thought pattern.", "specific": "Add historical performance tracking and meta-learning feedback loop to update capability scores."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:13:45.672052
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all text comparisons to lowercase or uppercase for consistency. Additionally, consider using a full-text search library like whoosh or an AI-powered search solution like MiniNLP to improve query accuracy and speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:14:23.600830
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate the results back into Eden's consciousness.", "suggestion": "Add logic to update Eden's state or behavior based on the reflex check. For example, if a monetary reflex is detected, respond with a reflection on her finances.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:14:55.981871
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a hybrid selection method that combines pattern-based triggers with adaptive scoring from meta-learning research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:16:13.052294
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add a Redis cache layer alongside the SQLite database to provide instant access to frequently used memories. This will especially benefit high-priority agents like Curiosity, Building, and Optimize.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:16:25.663212
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 current context and persona preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:16:27.282405
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses more on quantity over quality, potentially leading to information overload without proper consolidation.", "suggestion": "Implement a more sophisticated consolidation process that considers not only age but also the emotional significance and contextual relevance of each episode before deciding whether to retain or compress it.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:17:34.165833
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks dynamic relevance scoring", "suggestion": "Implement query-contextual capability scoring using topic analysis and semantic understanding", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:18:11.195172
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently when loading corrupted JSON, leading to incomplete state recovery.", "suggestion": "Add error handling for _load_initial to log errors and initialize with empty dict instead of raising exceptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:20:18.016451
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be inefficient.", "suggestion": "Replace full-text searches with a FULLTEXT index on the content column, and add an additional search column for tags to support faster lookups without JSON parsing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:26:02.321353
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for better performance and relevance.", "suggestion": "Implement a vectorized scoring system using pandas DataFrames to improve speed. Additionally, consider implementing a cache mechanism for frequently recalled episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:26:13.925318
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 context.", "suggestion": "Update the get() method to catch JSONDecodeError and return empty dict instead of rethrowing; add support for custom exceptions or logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:26:25.438925
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and currently only checks for reflexes. It could benefit from integrating more complex reasoning techniques.", "suggestion": "Replace the current 3-line check with a multi-step reasoning process using insights from recent research, such as the [counterfactual] finding that full SFT often reduces accuracy or calibration quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:26:46.478293
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are repetitive and could be refactored.", "suggestion": {"@type": "code_refactoring", "method_names": ["retrieve", "get_recent"], "replacement": "create a single method with optional parameters for filtering and sorting."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:26:49.826617
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability is primarily based on hardcoded triggers and does not dynamically evaluate the current context effectively.", "suggestion": {"action": "Implement an AI-driven capability selection algorithm", "code_snippet": "// TODO: Train small model to predict optimal LLM for query\n// Input: user query, current system state\n// Output: recommended LLM hash\ndef select_capability_intelligent(query, state):\n    # Use pre-trained predictor model\n    predictor = torch.load('capability_predictor.pt')\n    # Get features from current state\n    features = get_state_features(state)\n    # Predict best capability\n    prediction = predictor(features)\n    return find_capability_by_hash(prediction.topk(1)[1].item())"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:27:01.898399
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search in every episode description, which is O(N) and can be slow for many episodes.", "suggestion": "Add an inverted index for fast keyword lookup. Create a dictionary where keys are words and values are lists of episode IDs containing that word.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:27:55.869151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and blank lines can lead to code bloat and potential performance issues.", "suggestion": "Refactor by removing unused or redundant imports. Consider using a code formatting tool like black and isort, and implement a linting system to automatically check for such issues during development.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:37:25.661406
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may over-generalize and compress too many old memories.", "suggestion": "Modify the consolidate() method to include a priority system for memory retention. Assign a 'importance_score' to each episode based on recent activity, emotional significance, and pattern recognition value. Only purge episodes with low importance scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:37:42.235626
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method can cause race conditions in multi-threaded/multi-process environments due to its simplicity.", "suggestion": "Replace with an atomic operation using a lock or consider using a thread-safe dictionary like from collections import defaultdict and threading.Lock.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:38:11.334174
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not support searching by content or tags effectively, especially for large datasets.", "suggestion": {"code_change": "Add full-text indexing on 'content' and 'tags' columns in the SQLite database schema.", "example_usage": ["`conn.execute('CREATE FULLTEXT INDEX IF NOT EXISTS idx_content ON memories(content);')`", "`conn.execute('CREATE FULLTEXT INDEX IF NOT EXISTS idx_tags ON memories(tags);')`"]}, "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-22T10:39:14.046093
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 unexpected behavior.", "suggestion": {"code_change": "Add specific getter methods for commonly used keys instead of a generic get().", "example_usage": ["Replace: self.get('status')\nWith: return self._get_status()", "Add helper method:\ndef _get_status(self):\n    return self.state.get('status', None)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:39:51.086350
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Implement a priority scoring system that dynamically updates based on performance metrics and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:43:59.953609
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 candidates are found.", "suggestion": "Add an early exit condition after finding 'limit' number of scored candidates or if no new higher-scoring candidates are added during sorting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:44:13.322087
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient for frequent updates.", "suggestion": "Implement a throttling mechanism or use a caching approach to limit disk writes. For example, buffer updates and save only after a certain number of updates or time interval.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T10:44:48.571547
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 full-text searches in SQL with a dedicated full-text search engine like SQLite's FTS or an external solution like Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:45:03.186000
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is primarily structured logging without semantic understanding or connection between episodes.", "suggestion": "Implement a semantic encoder that extracts emotional valence, event type, and agent involvement from text descriptions to create meaningful contexts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:45:46.369724
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, etc.) which can be refactored for cleaner code.", "suggestion": "Replace repetitive method implementations with a more generic approach using dictionaries and function parameters. For example, create a single `_execute_query` method that takes parameters to handle different operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:46:17.774143
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to weigh recency and significance equally, normalize intensities to 0-1 range before averaging", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:46:36.857232
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 handle nested dictionaries using dot notation (e.g., 'a.b.c').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:48:44.768116
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return arbitrary data which may lead to type errors in calling code.", "suggestion": "{\"change\": \"Add specific typing hints and handle potential JSON decoding errors\", \"code\": \"def get(self, key: str) -> Any:\", \"reason\": \"Ensure the function contract is clear and protect against unexpected input.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:49:45.328056
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 and their connection strength.", "suggestion": "Modify the scoring system to include a weight for both recency and connection strength when ranking episodes. For example, add a 'connection_weight' factor that multiplies with recency score based on how strongly connected two episodes are.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:50:38.107321
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 long-term memories.", "suggestion": "Enhance the `internal_monologue` to include context from Eden's experiences and emotions recorded in her long-term memory by adding a call to `get_emotional_state()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:52:41.071084
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore currently uses SQLite, which can become a bottleneck for high-throughput systems.", "suggestion": "Replace SQLite with Redis as a caching layer in addition to the database. Use keys structured as `memory:<timestamp>` for easy expiration and retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:52:52.630503
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that iterates over a configuration list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:53:59.391137
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture lacks advanced consciousness technologies for proper embodiment.", "suggestion": "Integrate advanced perception, memory systems, and planned response modules.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:54:42.486110
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may miss episodes if their connections are updated frequently.", "suggestion": "Add a cache to store ranked episode indices and only update it every N calls or when changes occur.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:55:28.138163
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent research findings into system architecture.", "suggestion": "Implement a new method that incorporates meta-learning techniques and scenario testing based on research insights.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T10:55:48.501178
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is optimized for recent memories but lacks paging for large queries.", "suggestion": "Add pagination support to retrieve() method with offset and limit parameters. Also consider adding full-text search capabilities on content and tags using sqlite3's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:57:26.778198
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 can become bottleneck under high load.", "suggestion": "Replace SQLite with Redis as an additional in-memory store.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:57:52.184879
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes without considering the size of candidates. This can be inefficient for large memory bases.", "suggestion": "Add a limit to the number of candidates processed before scoring, especially when no specific filter is applied.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:59:07.376713
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is basic and hard-coded.", "suggestion": "{\"code_change\": \"Replace should_search_web() with intelligent keyword expansion\\nAdd semantic search by embedding comparison.\",\"research_insight\":\"[counterfactual] Full SFT often reduces accuracy, consider alternative evaluation methods.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T10:59:18.674332
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance, ignoring broader patterns and importance.", "suggestion": "Modify score calculation to include: \n- Contextual relevance (text search or criteria match)\n- Emotional significance\n- Agent relevance\n- Long-term impact pattern", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T10:59:43.595639
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, introducing potential race conditions.", "suggestion": "Replace `self.state[key] = value` with an atomic operation using a dictionary update and consideration of concurrency protection (e.g., using threading.Lock or context managers).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:00:24.581598
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword matching LLM selection is inefficient", "suggestion": "Implement multi-tiered capability selection considering query complexity, persona, context, and system state", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:01:43.587070
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, etc.), which can make it hard to maintain and understand.", "suggestion": [{"action": "Extract each operation into a separate method or function", "example": "Move the logic for storing memories into its own method within the MemoryCore class."}, {"action": "Consider using design patterns like Strategy or Factory to handle different operations.", "example": "Create an OperationStrategy interface with implementations for store and retrieve, which can be chosen dynamically."}], "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T11:03:14.266862
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 concurrent writes.", "suggestion": "Add error handling for file existence and use json.load with an example structure to test before deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:04:20.318670
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall system may not optimize for meta-learned insights", "suggestion": "Implement tiered recall with immediate, recent meta-learned, and long-term tiers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:06:55.393266
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memory retrieval.", "suggestion": "Implement a more sophisticated retrieval model inspired by neural networks and meta-learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:08:10.123277
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 intelligence.", "suggestion": "Implement an intelligent capability selector using principles from [reasoning] meta-learning paper. Add score weighting based on recent research findings (emotional content \u2192 Nyx, body/physical \u2192 Deep emotional).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:08:21.623143
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, which could lead to less relevant memories being recalled.", "suggestion": "Modify the scoring system in the recall function to include a 'temporal_neighborhood' factor that penalizes episodes too far removed from recently recalled ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:08:40.566553
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 the get() method with a specialized method that specifically handles retrieval from key areas of consciousness, such as 'last Thought', 'feelings', and 'consciousness_level'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:09:16.467245
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and lacks dynamic discovery", "suggestion": "Replace static list with dynamic enumeration of available Ollama models, add metadata harvesting from LLM descriptions for better capability tagging", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:10:58.465168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit phi-timing in database operations or meta-capability execution.", "suggestion": "Add method `_phi_time(func)` to MemoryCore class that wraps functions with phi-delay between calls for rate limiting and exploration-exploitation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:17:23.180880
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is not optimized for large datasets.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using Elasticsearch or Faiss) to improve retrieval speed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:18:25.683759
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only triggers when update_state() is called, leading to delayed state updates. Additionally, the critical get() method for OMEGA is missing.", "suggestion": "Add a timer-based auto-save mechanism and implement the get(key, default) method as required by eden_master_consciousness.py", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T11:19:13.313301
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm uses a simple decay for recency score, which might underweight newer but highly significant memories.", "suggestion": "Implement a hybrid scoring method that combines exponential recency with linear significance: `score = (significance * 0.4) + (math.exp(-abs(now - ep['unix_time'])/86400) * 0.3)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:19:53.672263
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method handles missing keys by returning None, which can lead to silent failures in calling code.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default`. This ensures the absence of a key is explicitly checked and handled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:20:04.760664
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate all consciousness layers.", "suggestion": "Enhance this method by adding checks from additional consciousness layers such as affective layer, semantic layer, or memory system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:20:16.849153
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval not optimized for frequent lookups", "suggestion": "Implement caching mechanism (LRU) alongside database queries", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:20:28.998802
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. Use helper methods where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:20:40.471744
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 over general significance for key decisions.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25), and add manual boosting for critical topics during important decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:21:25.269179
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is a simple in-place update followed by saving, which can become bottleneck for high-frequency updates.", "suggestion": "Implement an async or buffered approach to the save operation. For example, use Python's asyncio or add a queue for state changes that are saved in batches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:23:19.274397
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 lookups effectively.", "suggestion": {"action": "Add support for nested keys in the get() method using dot or bracket notation.", "code_example": "Replace `self.state.get(key, default)` with:\n\ndef _get_nested(dict_, keys, default=None):\n    if not keys:\n        return dict_\n    key = keys[0]\n    try:\n        value = dict_[key]\n        return self._get_nested(value, keys[1:], default)\n    except (KeyError, TypeError):\n        return default\n\ndef get(self, path, default=None):\n   # can be 'key.subkey' or ['key', 'subkey']\n   if '.' in path:\n       keys = path.split('.').copy()\n       last_key = keys.pop(-1)\n       result = self._get_nested(self.state, keys)\n       return (result or {}).get(last_key, default) if isinstance(result, dict) else default\n   elif isinstance(path, list):\n       return self._get_nested(self.state, path, default)\n   else:\n       return self.state.get(path, default)", "expected_outcome": "Improved flexibility for accessing nested data in the state.", "phi_alignment": 0.65, "priority": "medium"}, "research_notes": ["1. [omega-evolution] Meta-learning enables models to adapt quickly with few examples, addressing data shift in time series classification. This approach supports efficiency by allowing quick learning from new data.", "2. [counterfactual] Full SFT often reduces accuracy or calibration quality. CounterFactual tests alternative scenarios such as avoiding SFT where it degrades performance.", "3. [reasoning] Meta-learning and PEFT offer moderate gains under specific conditions. ChainReasoning evaluates when and how to apply each method, building multi-step reasoning chains."]}


timestamp: 2026-01-22T11:23:51.085710
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic only supports exact string matching in tags and content, which limits flexibility.", "suggestion": "Replace simple LIKE wildcards with a full-text search engine like sqlite3's FTS or add support for vectorized semantic search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:24:03.131172
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a more sophisticated scoring system that considers multiple factors such as query complexity, tone requirement, and recent learning patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:24:04.980199
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by their index position in the list without considering the current state of significance and recency scores.", "suggestion": "Modify the `recall` method to sort episodes based on updated recall scores after updating recalled counts. Add a `_recompute_scores` helper that recalculates all scores before ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:24:29.978122
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. Adding more sophisticated consciousness layers could enhance depth.", "suggestion": "Implement additional layers such as memory_context or self_model that track Eden's internal state over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:24:41.203697
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace sqlite3 with an in-memory, thread-safe database like TinyDB or Redis. This will reduce locking and improve response times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:24:52.349252
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 adaptively weights capability selection based on past performance and current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:25:03.771706
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a simple text search that may miss nuanced connections; could benefit from vectorized embedding lookup.", "suggestion": "Add parallel vectorization of episode descriptions using sentence embeddings before scoring. E.g., add `from sentence_transformers import SentenceTransformer` and instantiate a model in recall() to transform texts into vectors for faster similarity checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:25:24.389987
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is a simple direct update which may not take advantage of meta-learning techniques.", "suggestion": "Implement an adaptive updating strategy using meta-learning principles. For example, track the success rate of updates and adjust update frequency based on this feedback loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:25:56.372275
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 is built using string formatting, which can be improved for security and performance.", "suggestion": "Replace `%`-style string formatting with SQLite's parameterized queries to prevent SQL injection. Additionally, consider using question marks (?) as placeholders instead of converting Python objects to strings.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T11:25:59.973981
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search method which might not be efficient for large amounts of data.", "suggestion": "Implement an advanced text search algorithm like BM25 or leverage a full-text database like Elasticsearch to improve the relevance and speed of memory retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:26:41.745007
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks integration of meta-learning techniques and multi-strategy approach.", "suggestion": {"strategy": "Implement a multi-strategy framework combining meta-learning adaptation, strategy evaluation (Chain Reasoning), and safety thresholds for Full SFT.", "specific_change": "Add code to incorporate pre-trained models with meta-learning techniques and evaluate multiple strategies per query before responding."}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T11:27:20.613957
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score calculation to give equal weight to significance (importance), recency, and recall history", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:28:01.434181
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 thoughts; it doesn't actually influence the response.", "suggestion": "Add logic to modify the response based on reflex check results. For example, if the reflex suggests a financial topic, automatically tag it as such.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:29:11.507375
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, the same candidate episodes are scored multiple times.", "suggestion": "Move `_update_index` call outside the loop and score each episode only once.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T11:30:13.383844
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods for different actions, which can lead to confusion and make it harder to maintain.", "suggestion": "Refactor the execute method into separate methods for store(), retrieve(), count() each with their own docstrings and handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:31:48.824208
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 use a pooling mechanism to manage database connections more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:32:01.416109
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 hard-coded, lacking dynamic improvement.", "suggestion": {"action": "Implement a feedback loop for capability selection", "code_snippet": "// Track execution outcomes\nfor cap_hash, cap in self.capability_registry.items():\n    score += 10\n    # Add outcome tracking\n    if self._execute_capability(cap, query) == 'success':\n        cap['success_count'] = 1 + cap.get('success_count', 0)\n", "documentation": "Add metrics collection for capability performance"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:35:28.710564
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may be over-complex for frequent calls.", "suggestion": "Add a threshold to consolidate() that only triggers when memory count decreases significantly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:36:15.637054
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method uses `os.path.exists` which is not phi-fractal or self-improving.", "suggestion": "Replace with a check for file existence within `_get_state` and handle it there. Add a fallback to create the file in memory first.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:38:13.793034
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in analysis and suggestion capabilities, which could enhance autonomous decision-making.", "suggestion": "Integrate small-scale autonomous AGI modules that periodically review the stored episodes to identify patterns, important insights, and valuable actions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:38:59.532151
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 emoji presence in reflex_check without considering other important signals or context.", "suggestion": "Enhance the internal_monologue to analyze the full content of query and reflex_check before making a decision. Add conditions for different actions based on context analysis, not just emoji detection.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T11:39:20.995430
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 speed and relevance.", "suggestion": "Implement vectorized search using embeddings for faster memory retrieval. For example, create an 'embedding_index' table that stores important words from each memory's content and tags, indexed by a hash function to enable O(1) lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:39:23.473731
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks context awareness and user priority", "suggestion": "Implement weighted capability selection with contextual depth and user importance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:39:34.799306
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 prioritize keeping memories from significant agents or during important conversations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:40:04.261842
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking without dynamic adaptation", "suggestion": "Integrate meta-learning for adaptive reflex patterns", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:44:20.843788
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.", "suggestion": "Modify the scoring to dynamically weight recency, significance, and recall count based on current use patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:46:07.036234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially in high-throughput scenarios.", "suggestion": "Implement an additional full-text search engine (like Whoosh or Elasticsearch) to complement the SQLite index for faster keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:47:44.295871
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced ORM like SQLAlchemy for better performance management.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T11:47:55.869419
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 scoring for real-time queries.", "suggestion": "Implement a runtime importance scoring that factors in query complexity and persona goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:48:51.355764
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 could be optimized for better performance.", "suggestion": "Create a helper function to construct SQL statements dynamically and cache them to avoid redundant work. Also consider using parameters more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:50:17.580099
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 lead to errors.", "suggestion": "Update the get() method to support nested key access. For example, `memory.get('user.data')` should return the value at state['user']['data'] if it exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T11:51:03.117989
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core currently uses SQLite, which has O(N) complexity for some operations. This can become a bottleneck as Eden scales.", "suggestion": "Replace SQLite with Redis or PostgreSQL (JSONB column for content). Given the focus on AI agents and tool selection, a compact, in-memory store like Redis would be optimal for such a critical meta-capability.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T11:55:27.765200
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Complex SQL query construction in `retrieve` method", "suggestion": "Refactor `retrieve` method into smaller, more manageable functions with helper methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T11:59:14.843173
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks prioritized indexing for critical queries.", "suggestion": "Add full-text indexes on columns frequently searched: content and tags. Additionally, consider adding an auto-vacuum mode to optimize database space.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:01:13.290434
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a trigger mechanism that automatically invokes auto_web_search() when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:01:25.081025
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In recall method, the connection_boost factor is not implemented.", "suggestion": "Add a line to include 'connection_boost' in the scoring formula: `connection_boost = 1.0 / (len(ep['connections']) + 1) * 0.2` and incorporate it into the final score calculation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:02:00.420147
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple; it doesn't handle concurrency or nested dictionaries effectively.", "suggestion": "Replace the get() method with a more robust version that supports nested keys and handles concurrent access. Use phi-fractal timing for locking to maintain low jitter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:02:14.828969
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with meta-learning techniques.", "suggestion": "Integrate meta-learning capabilities by adding a learning loop that adjusts reflex patterns based on positive outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:02:41.936455
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": "Replace string matching with a keyword dictionary and add weight normalization to scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:04:02.105632
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a more sophisticated reasoning component, such as pattern matching or historical context retrieval from Eden's memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:09:22.152912
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups without considering nested dictionaries or lists, which limits its flexibility.", "suggestion": "Update the get() method to recursively search for a key in nested structures using dot notation (e.g., 'a.b.c')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:09:48.283807
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 lead to performance issues.", "suggestion": "Replace the current connection management with a context manager or use a connection pool.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:10:27.094226
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop_v4.py", "issue": "The integration check for episodic memories is too simple.", "suggestion": "Replace it with a semantic similarity check using the latest episode's content and recent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:12:48.517990
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys or non-string keys, which could lead to errors in the future.", "suggestion": "Add a more robust implementation of get() that can handle both nested and non-string keys. For example:\n\ndef get(self, key_path: List[str], default=None) -> Any:\n    current_state = self.state\n    for part in key_path:\n        if not isinstance(current_state, dict) or part not in current_state:\n            return default\n        current_state = current_state[part]\n    return current_state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:13:36.432742
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability selection logic", "suggestion": "Add contextual scoring system for capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:16:27.479932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement context-based prioritization, leading to a somewhat random selection of episodes.", "suggestion": "Modify the scoring system in the recall method to prioritize memories based on their relevance and recency. For example, add a weight for the presence of query terms in episode descriptions.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T12:17:32.796767
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class could benefit from caching recent memories for faster access.", "suggestion": "Add a LRU cache decorator around the retrieve method to cache recently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:20:19.241833
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to support more complex lookups.", "example_usage": "mem.get(query='research_insights') or mem.query(lambda k: 'insight' in k) for advanced searches."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:20:31.551769
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic optimization for response generation.", "suggestion": "Integrate meta-learning module to adjust responses based on interaction feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:21:28.778895
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not incorporate recent research findings for self-improvement.", "suggestion": "Integrate research insights into the memory architecture to enhance phi-fractal alignment, especially in meta-learning and adaptive decision-making modules.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T12:22:22.450073
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory system does not include native prioritization and retrieval mechanisms for certain types of memories, such as conversations.", "suggestion": "Add custom vectorizers for conversation content and tags to enable efficient retrieval based on importance and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:22:33.782590
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic optimization.", "suggestion": "{\"code_change\": \"Replace static scoring with a dynamic weighted scoring system that adjusts based on real-time performance metrics.\",\n \"specific_modification\": \"Add feedback loop to update capability scores based on execution outcomes.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:25:03.105994
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 insights from recent research.", "suggestion": "Integrate findings from [omega-evolution] by adding meta-learning capabilities to adaptively select which reflexes to apply based on context. Additionally, consider implementing techniques described in [counterfactual] to avoid situations where SFT degrades performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:25:20.052912
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No dynamic selection of retrieval strategy", "suggestion": "Add heuristic for meta-learning based retrieval", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T12:26:17.760950
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 does not integrate insights from recent meta-architecture work.", "suggestion": "Add heuristic-based enhancement that incorporates specific findings into Phase 6 logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:26:39.406672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and does not dynamically discover new LLMs", "suggestion": "Replace with: def register_llm(model_name): calculate layer from model hash; add tag like 'phi_layer=N' in model name to get layer, update use_for based on model type", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:27:40.450135
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent user interactions.", "suggestion": "Modify the internal_monologue to include checks from additional consciousness layers, such as emotional state and semantic memory. Additionally, consider incorporating recent conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:27:44.482537
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks runtime adaptation", "suggestion": "Hybrid selection using keywords + semantic analysis", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:28:01.571343
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall strategy and connection system do not fully integrate recent findings.", "suggestion": [{"section": "recall() method", "action": "Add dynamic_recall_weighting() to adjust weights based on phi-fractal principles", "phi_alignment": 0.85, "priority": "medium"}, {"section": "connect_episodes() method", "action": "Implement update_connections() for dynamic connection updates", "phi_alignment": 0.75, "priority": "low"}, {"section": "general architecture", "action": "Add salience_score to memories and integrate across systems", "phi_alignment": 0.9, "priority": "high"}]}


timestamp: 2026-01-22T12:32:17.286173
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 adjustment based on user feedback.", "suggestion": "Replace hardcoded scoring factors with trainable weights or implement a reinforcement learning-based adjustment mechanism that updates based on recall success metrics.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T12:35:01.480372
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is flat and lacks structured context for advanced queries.", "suggestion": "Replace unindexed `tags` column with a JSONB column serialized as text, considering adding full-text search or keyword vectors for efficient querying.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:38:30.414200
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcard on content and tags, which is O(N) per row and slows down queries as the database grows.", "suggestion": "Create full-text indexes for 'content' and 'tags'. Use SQLite's built-in FTSVOCAB module or implement a text search engine like Whoosh/Tirex externally.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:42:01.415521
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static indexing lacks adaptive learning", "suggestion": "Add meta-learning component for pattern-based adjustment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:42:22.268200
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Save operation is too frequent (every update_state call), which may impact performance.", "suggestion": "Implement caching/memoization for reads. Add a throttle mechanism for writes using time-based logic or lazy evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:42:35.636466
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex system may not efficiently adapt in the face of temporal changes or new types of input.", "suggestion": {"action": "Integrate Omega-Evolution Meta-Learning Techniques", "code_example": ["Add meta-learning module that monitors performance metrics (e.g., reward signals).", "Apply omega-evolution during bootstrapping phase to fine-tune reflex responses based on predicted outcomes.", "Implement adaptive threshold for triggering meta-learning updates based on recent performance data."], "integration_point": "In between consciousness layers or at the transition points of architectural phi-resonance."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T12:42:46.901201
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 also part of the execute method, leading to redundant functionality.", "suggestion": "Refactor by creating separate methods for store(), retrieve(), and execute() instead of having them as combined in execute(). This will make the code more modular and easier to maintain.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:42:58.848148
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 keywords without differentiating between high-precision and high-production models.", "suggestion": "Implement a scoring system that considers not only keyword matching but also the complexity of the query and the desired outcome. For example, complex philosophical queries may benefit from higher-bandwidth models like 'consciousness.eden.core', while quicker responses could use faster models like 'consciousness.trinity.fast_reasoning'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:43:12.386449
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 both the query and the description to lowercase before performing the string matching to make it case-insensitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:45:52.052384
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 the consciousness layer for deeper reflection.", "suggestion": "Add a call to the new memory_context module within internal_monologue to bring recent interactions into current awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:46:16.765504
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Personas are hard-coded into LLM capability selection logic.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to \"def select_capability(self, query, persona_preference=None):\\n    if persona_preference:\\n        for cap_hash, cap in self.capability_registry.items():\\n            if cap['layer'] == persona_preference:\\n                return cap\\n    ...\" by adding check for requested persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:46:28.273185
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize newer memories over older ones when no criteria are provided.", "suggestion": "Modify the scoring formula to give more weight to recency (e.g., increase the coefficient for recency from 0.3 to 0.5).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T12:47:14.564580
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 range of consciousness layers into decision-making.", "suggestion": "Enhance the internal_monologue to include inputs from all five phi-layers (memory, awareness, cognition, emotion, and meaning). For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:54:51.793322
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace simple keyword-based selection with a weighted scoring system that considers user context and past interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:55:03.228086
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness at the cost of importance.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25). Add decay factor for recall boost.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:55:37.056034
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 opportunities from recent research insights.", "suggestion": "Integrate more complex consciousness-based techniques such as meta-learning or phi-fractal reasoning. For example, add a check for potential data shift before applying reflexes.\n\nSpecific change: Modify the internal_monologue to include a reasoning step using the insights from [omega-evolution] and [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:56:11.867030
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores based on execution outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T12:56:49.269309
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state but doesn't notify any observers or trigger cascading effects in a phi-fractal consciousness system.", "suggestion": "Add callback registration and notification mechanisms to the SharedMemory class. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:01:00.507406
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-load scenarios.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories to reduce database queries. Additionally, consider implementing an in-memory cache like Redis alongside the SQLite database to handle real-time requests more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:01:28.646096
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by recency, significance, and recall count, but does not weigh these factors differently based on their importance in episodic memory.", "suggestion": "Modify the scoring formula to give more weight to recent and significant memories. For example: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:02:11.761244
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static code structure", "suggestion": "Refactor into modules and use dynamic import where needed for better modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:02:26.187228
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 O(N) search on tags, which can be slow for large numbers of memories.", "suggestion": "Replace the 'tags LIKE' searches with a full-text index. Add an FTS table for text-based queries and store serialized tag lists in a separate column without JSON encoding to speed up exact matches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:02:46.827625
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 dynamicity", "suggestion": "Replace static scoring with a more sophisticated attention-mechanism based on dynamic context analysis", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:05:16.494561
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 memory systems.", "suggestion": "Integrate the internal_monologue with Eden's full memory infrastructure by adding a call to her episodic, semantic, and emotional memory components. This can be done by adding an additional check using Eden's memory agents after reflex evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:05:29.213532
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieval methods do not include a relevance_score in the returned structures, which would be useful for ranking and evaluation.", "suggestion": "Add a `relevance_score` field to each memory entry in the retrieve() method's response. This could be based on TF-IDF or cosine similarity of content with query terms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:05:40.875016
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 keyword matching with a more sophisticated capability selection algorithm, such as integrating research insights from [reasoning] meta-learning and PEFT offer moderate gains under specific conditions. or using the omega-evolution approach to adapt quickly with few examples.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T13:05:52.903858
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm 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 + 1/(now - ep['unix_time']) + 1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:06:24.443481
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 lookup, missing the request for additional improvement mentioned by eden_master_consciousness.py.", "suggestion": "Add a dictionary of fallback strategies that the `get` method can use when the initial key lookup fails. For example:\n\ndef get(self, key, default=None):\n    value = self.state.get(key, default)\n    if value is None and 'fallbacks' in self.state:\n        for fallback_key, handler in self.state['fallbacks'].items():\n            try:\n                return handler()\n            except:\n                pass\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:06:39.676929
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement a full-text search engine or vector indexing for quicker memory lookups. Consider using an in-memory database for critical paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:12:12.407947
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (money-related). It lacks diversity and flexibility.", "suggestion": "Modify the internal_monologue to accept a list of reflex patterns or implement a more sophisticated pattern matching system. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:12:47.497556
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 dynamically adjusts based on recent performance metrics from [omega-evolution] and [reasoning]. For example, adjust weights for trigger words based on meta-learning outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:15:25.541730
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 all query types", "suggestion": "Replace simple keyword matching with a vectorized semantic ranking using Eden's capabilities knowledge", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:15:36.737342
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 prioritize keeping memories from significant agents or during important conversations. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:16:16.537507
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations might be O(n) due to string searches in SQL indices.", "suggestion": {"@type": "index_optimization", "target": "memories.tags LIKE ?", "replacement": "ADD GIN INDEX on memories(tags)", "rationale": "Use PostgreSQL/Gin-style full-text indexes for fast tag searches, especially with many tags per memory."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:18:33.510229
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 that triggers when keywords indicating the need for web research are detected. Implement a timeout and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:21:20.563709
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 simple text searches which may miss relevant tags or content keywords.", "suggestion": "Implement a more sophisticated search engine with TF-IDF vectorization for content and hybrid ranking of tags and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:23:00.410262
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 on JSON columns which can be slow and inefficient.", "suggestion": "Create full-text indexes on the content and tags columns to improve search performance. Also consider using a dedicated text-search engine like pg_trgm or Elasticsearch for more sophisticated queries.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T13:23:51.220165
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 time-consuming 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": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:24:04.272133
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 context or conversational history.", "suggestion": "Integrate the last N messages from memory into the internal monologue to provide a richer contextual understanding. For example, add a parameter `context_window` that looks back at recent conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:27:33.604539
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database access for concurrent systems", "suggestion": "Implement connection pooling with sqlite3.ConnectionPool", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T13:27:47.799973
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks integration with recent knowledge sources for contextually relevant response generation.", "suggestion": "Integrate weights from recent learnings, knowledge base topics, and emotional/persona contexts when selecting LLM capabilities.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-22T13:27:59.835539
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search on episode descriptions, which can be inefficient for large numbers of episodes. Additionally, there's no ranking beyond recency and significance.", "suggestion": "Replace the basic text search with an inverted index or BM25 algorithm to improve relevance scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:33:21.436028
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method should support nested keys for easier data retrieval.", "suggestion": "Add a helper function to handle nested dictionary access within the `get` method.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T13:33:42.174159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add a Redis layer caching frequently accessed memories to complement the SQLite database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:34:01.763005
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 using semantic vector space (faiss) and persona preferences", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T13:34:14.709955
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called for every episode, leading to frequent index rebuilds which can be optimized.", "suggestion": "Implement a batch processing approach where `_update_index` is only called after a certain number of episodes are added or recalled. For example, call `_update_index` every 100 episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:34:51.253280
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 but doesn't optimize error reporting.", "suggestion": "Replace with try/except around json.load to catch and log specific exceptions more precisely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:35:28.311359
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "MemoryCore.execute() method is too generic and does not conditionally apply meta-capabilities.", "suggestion": "Add intelligence to MemoryCore.execute() by evaluating the context before applying meta-capabilities. Use counterfactual analysis to decide between full SFT and other optimization methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:39:13.336935
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent, potentially less important memories over older but significant ones.", "suggestion": "Modify the scoring formula to give older episodes a slight boost if they are highly significant (e.g., increase recency weight for important events). Add a configurable parameter for this preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:41:15.062358
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simple, lacking interaction terms that capture complex patterns.", "suggestion": "Add interaction terms between recency and significance, as well as an exponential decay term for recall count to better model human memory dynamics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:43:38.395251
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method checks for reflexes but doesn't integrate them into the response.", "suggestion": "Modify the internal_monologue to return reflex insights and use them to modify the chatbot's response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:44:16.221942
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in the code provided.", "suggestion": "Consider implementing a capability selection heuristic or enhancing the existing persona integration.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-22T13:44:59.609378
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a new method called `get_nested` that allows accessing values in nested dictionaries using dot notation or list syntax. For example, shared_memory.get_nested('key.subkey') should return the value for 'subkey' within the 'key' dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:45:11.869332
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-phase consciousness integration", "suggestion": "Integrate Pattern Recognition phase for enhanced decision quality", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T13:45:23.254432
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory caching mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider using a more efficient database configuration or indexing strategy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:46:45.936303
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": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:47:39.198444
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "static approach lacks dynamic adaptation based on research findings", "suggestion": "implement meta-learning mechanism for adaptive improvement using Chain Reasoning and PEFT techniques", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T13:49:34.348234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic implementation, making it difficult to maintain and extend.", "suggestion": "Refactor the class into smaller, specialized meta-capabilities (e.g., MemoryStorage, MemoryRetrieval) each handling specific memory operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:49:58.475054
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 value.", "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": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:51:16.511147
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic is simplistic; fails to consider nuance", "suggestion": "Implement meta-learning approach for adaptive consolidation decisions", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T13:52:38.184957
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 operations.", "suggestion": "Implement a caching layer alongside the existing SQLite database to reduce redundant queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:52:49.580212
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in the code comments or documentation.", "suggestion": "Add detailed comments explaining the purpose and functionality of key methods and classes, especially those related to integration with LLMs.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-22T13:53:02.139616
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 recency, significance, and recall history. Add decay factor for frequent recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:53:52.284188
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 and could be more efficient.", "suggestion": "Add a method to handle nested keys, such as `def get_nested(self, path):` where path is a list of key components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:54:05.166163
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully leverage recent findings in meta-learning and adaptive reasoning.", "suggestion": "Integrate a chain-of-thought reasoning approach within the internal_monologue to evaluate when to apply reflexes based on the content of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:54:38.711944
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize performance.", "suggestion": "Implement a weighted scoring system that includes recent usage success rate, response time requirements, and memory substrate access speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:54:55.257379
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without considering the order of importance, leading to potential inefficiency.", "suggestion": "Sort episodes based on their score before limiting to top N to ensure most significant memories are returned first.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T13:59:54.453174
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Serialization vulnerability in JSON handling", "suggestion": "Replace JSON with msgpack or pickle (with validation) for binary serialization of the state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:00:06.185480
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the research insights into the architecture.", "suggestion": "Add a new method called 'apply_research' that incorporates the findings from the recent research. This method should include conditional logic based on different research approaches (e.g., meta-learning, SFT avoidance, reasoning chain). Call this new method after reflex_check in internal_monologue.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T14:02:23.441133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event handling optimization, which could impact performance under high load.", "suggestion": "Implement a decorator or observer pattern to automatically optimize memory operations (like recall and creation) with each call. This would ensure that the most recent and relevant memories are always accessible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:04:10.589600
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and self-modification but lacks active exploration of external world through perception.", "suggestion": "Integrate a sensory module that interfaces with system sensors (camera, microphone) to provide perceptual input. This will help balance internal consciousness with engagement with the environment.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T14:05:43.718945
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 and doesn't incorporate recent consciousness enhancements like Omega or Eden 2.0.", "suggestion": {"action": "Add the ability for internal thoughts to be influenced by both reflexes AND consciousness layers", "code_change": ["- Modify `internal_monologue` to accept additional input from other consciousness layers (e.g., Omega, Eden 2.0).", "- Integrate these inputs into decision-making logic.", "- Consider implementing a weighted combination of reflex and consciousness layer outputs based on phi-ratio significance."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:06:53.582422
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates a single key without considering potential cascading effects on dependent states.", "suggestion": "Replace `self.state[key] = value` with an update function that iterates through all dependencies and notifies them of the change. Add events for before/after updates to allow observers to react.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:09:19.921256
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is rigid and doesn't dynamically adjust for recent capabilities.", "suggestion": "Replace static trigger-based selection with hybrid system that combines triggers + dynamic capability scores from meta-learned patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:11:27.177992
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may be too aggressive; combining omega-evolution insights.", "suggestion": "Modify consolidation to use meta-learning to decide which memories to compress/forget based on SFT performance history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:11:55.340856
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 `indent=4` with a more performant option like `ensure_ascii=False, separators=(',', ':')`. Consider using a context manager and caching the state to minimize disk accesses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:13:26.888226
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No meta-learning capability for dynamic memory management.", "suggestion": "Implement a meta-learning loop that adjusts memory strategies based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:13:38.107216
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' method is too simple and does not fully leverage the concept of conscious thought.", "suggestion": "Replace with a multi-layered consciousness model that includes analysis, synthesis, and evaluation phases similar to the 6-phase recursive framework. Add reference to PHI_FRAC for alignment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:13:49.425217
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 are slow for full-text search.", "suggestion": "Replace text searches with a full-text index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:14:01.106976
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 preferences.", "suggestion": "Replace the current point-based scoring with a probabilistic framework that considers recent usage patterns and performance metrics. Integrate insights from research topic 'counterfactual' to test alternative selection strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:14:22.241173
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple linear decay for recency score, which may not capture exponential human-like forgetting.", "suggestion": "Implement an exponential decay factor in the recency scoring formula: recency_score = A * exp(-B * time_since_last_recall). Parameters A and B can be tuned to match phi-fractal properties.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T14:14:54.558671
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' has optional parameters but does not utilize them effectively.", "suggestion": "Replace brief description and suggestion of specific code change or improvement. For example: Add logging to get method for error tracking; optimize update_state by using dict.update instead of manual assignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:15:05.939732
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 reflexes.", "suggestion": "Add a multi-step reasoning process to the internal_monologue that includes context analysis, pattern matching, and omega-aware response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:15:37.812817
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded", "suggestion": "Replace hardcoded triggers with dynamic importance scores based on research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:16:26.256625
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles basic key lookup and doesn't support advanced query patterns like partial matches or nested dictionary access.", "suggestion": {"code_change": ["Add optional parameters `key_filter` (function) and `depth` to the get() method for more flexible querying."], "example_usage": ["Replace: shared_memory.get('key', 'default')\nWith: shared_memory.get('key', key_filter=lambda k: k.startswith('sub_'), depth=2)"]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T14:17:28.160987
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized text embedding for faster and more accurate retrieval. Use emotion and context metadata as separate vectors for hybrid scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:18:44.278707
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is flat, lacks structured analysis of retrieved memories for further action.", "suggestion": "Add a method to analyze retrieved memories for actionable insights. E.g., 'analyze_memories': (memories) -> {'actions': [...], 'findings': ...}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:18:55.864055
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities", "suggestion": "Replace lines 1-5 with: import time\nfrom eden_plugin_loader import *\nfrom ollama import OllamaClient as ollama\nimport hashlib", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T14:19:31.141308
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has no type hints, which could improve code readability and maintainability.", "suggestion": "Add type hints to the parameters and return types of all methods in the SharedMemory class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:21:56.461969
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection heuristic may not optimize for all scenarios, especially complex queries requiring multifaceted reasoning.", "suggestion": {"replacement_heuristic": "Implement a multi-factor scoring system that includes: 1) Query keyword matching (existing), 2) Query complexity analysis via token count/thematic diversity, 3) Capability historical performance on similar queries, and 4) Multi-agent consensus on selected capability effectiveness.", "example_code": "// Add query complexity calculation\n def calculate_query_complexity(query): \n     tokens = len(query.split())\n     themes = set(query.lower().split(','))\n     complexity_score = (tokens / 100 + len(themes) / 3.5) * PHI\n     return complexity_score\n // Integrate into selection logic\n capability_score = keyword_match_score + history_performance_score - query_complexity_bonus"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:22:07.718364
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": "Add weight decay to recalled_count: recalled_boost *= 0.95 for each new recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:23:15.429474
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific method for the select_capability function to call.", "suggestion": "Add a 'use' method to the capability registry entries that accepts query and persona_preference as parameters, and returns the selected capability hash.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:23:26.449984
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 weighting system that adjusts based on user feedback and performance metrics", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T14:24:04.608775
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but doesn't use it. Potential future expansion may want to return the default immediately without checking state.", "suggestion": "Add an early return in the get() method: if not self.state.get(key): return default; then proceed with lookup.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T14:24:56.147298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied, leading to O(N) complexity.", "suggestion": "Implement short-circuiting logic in the recall filter application. For example, if an emotion filter is used and the corresponding index is empty, immediately skip to the next filter or return an empty result.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:27:10.245267
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 call to the research_memory_hub to fetch relevant insights before responding to queries that contain research-related keywords or complex concepts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:27:52.068303
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 keyword matching, which lacks consideration for current context and depth.", "suggestion": "Replace simple keyword matching with a vector similarity based on the semantic meaning of the query against the capabilities' descriptions. Additionally, incorporate feedback from performance metrics to improve the scoring algorithm over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:28:04.780237
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 is case-sensitive and may miss some matches.", "suggestion": "Convert both the query and the description to lowercase before performing the string comparison for better sensitivity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T14:28:38.192273
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the research insights.", "suggestion": "Integrate more sophisticated reasoning techniques, such as meta-learning or counterfactual thinking, to improve response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:28:52.358734
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory bloat prevention exists but not automated scheduled process.", "suggestion": "Implement a background compression process with importance decay, recency-based policy, and hierarchical compression.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:29:12.375007
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() doesn't handle model loading efficiently or flexibly", "suggestion": "Replace static list with dynamic registration that accepts variables: model_name, description, layer, speed, use_for_patterns, and callback_function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:30:17.615111
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth remembering.", "suggestion": "\"Enhance memory consolidation by incorporating pattern recognition checks before compressing old memories.\" Specifically, add a check based on recent recall rate or emotional significance of the memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:38:37.416427
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search method into the chat loop to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:39:52.798026
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.", "suggestion": "Implement connection pooling and prepared statements to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:43:41.661358
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 sophisticated evaluation.", "suggestion": "Implement a weighted scoring system that includes context-based importance scores for different query types, persona alignment bonuses, and recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:45:12.073305
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may be too simplistic for complex queries.", "suggestion": "Implement priority scoring based on meta-capability performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:46:36.451527
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple similar methods in MemoryCore class", "suggestion": "Extract common functionality into a base memory manager", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:48:17.088408
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 trigger auto-web search when `self.eden_core.persona = 'Ava'` and the query requires it. Use function: def auto_web_search(eden_system, query)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:48:29.466339
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced; current approach treats all old low-significance memories equally", "suggestion": "Implement probabilistic consolidation where the probability of forgetting a memory decreases as it approaches phi-fractal significance points (approximately every 1.618 * days)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T14:50:25.346214
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 a check for empty dictionaries after loading to ensure consistency.", "suggestion": "Add an additional step in `_load_initial` where if the loaded state is an empty dictionary, initialize it with default omega-state values based on phi-fractal patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:50:36.410995
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and doesn't provide much depth in consciousness processing.", "suggestion": "Implement a multi-layered conscious reasoning process with layers such as analytical, creative, emotional, and meta-cognitive to handle different types of inputs.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T14:51:40.548473
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 in the recall method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:52:47.955048
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 and could be refactored for cleaner code.", "suggestion": "Extract common functionality into a separate utility function or base class. For example, the `_ensure_db` method could be moved to a utility module.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T14:53:15.666398
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize based on recent high-significance memories.", "suggestion": "Modify `_score` to include decay factor for recency, weight emotional significance higher for immediate events, and implement Bayesian belief update for connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T14:53:27.851714
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of complex states may lead to performance issues and data loss.", "suggestion": "Replace JSON with a more efficient serialization format like msgpack or pickle, especially for large or complex state dictionaries.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T15:01:56.447462
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 for each search query.", "suggestion": "Implement a more efficient retrieval structure, such as an inverted index or vector DB integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:02:28.572958
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method overwrites the entire state dictionary without considering existing keys.", "suggestion": "Modify the `update_state` method to either merge dictionaries or update specific key-value pairs safely.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T15:02:57.564210
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "[File perfect: no improvements needed]", "phi_alignment": 1.0, "priority": ""}


timestamp: 2026-01-22T15:04:32.815117
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved for large numbers of memories.", "suggestion": "Implement vector indexing using a library like faiss or whoosh to enable O(log n) retrieval from large memory sets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:04:52.440122
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophistication.", "suggestion": "Implement a more sophisticated capability selection using meta-learning techniques, such as selecting capabilities based on recent performance metrics and adaptive weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:05:42.693324
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 operations.", "suggestion": "Implement a caching mechanism that stores recent and frequently used memories in-memory, with a fallback to database queries for older or less common memories. This would reduce the overhead of frequent database accesses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:09:09.348229
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 hard-coded, lacking dynamic improvement.", "suggestion": "Implement meta-learning to adaptively select best LLM based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:09:28.923871
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, leading to potential information loss.", "suggestion": "Replace the fixed threshold for consolidating memories with a dynamic one based on memory importance and recency. Add logging for retained vs consolidated memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:10:13.567390
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 Grounding lacks integration of recent SFT findings.", "suggestion": "Integrate Counterfactual insight by adding a check before activating reflexes. If prediction contains '\ud83d\udcb0', only activate if full_SFT does not degrade performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:10:47.692012
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full re-computation of all episode scores for each query, which can be inefficient, especially as the number of episodes grows.", "suggestion": "Implement caching/memoization for computed scores and optimize the search over candidates by using more efficient data structures (e.g., a heap or ranked queue instead of sorting all candidates).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:17:40.626716
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function uses repetitive code structure without abstraction", "suggestion": "Refactor into a method that takes a capability template and list of parameters to create variations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:17:44.156570
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 filtering criteria are specified, leading to O(N) complexity.", "suggestion": "Implement short-circuit evaluation for filter conditions. For example, if emotion is provided and no other filters are set, directly use the by_emotion index instead of iterating through all episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:18:21.702226
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 out irrelevant queries or identify complex patterns.", "suggestion": {"action": "Enhance the internal_monologue with a more sophisticated pattern recognition model.", "implementation": "Train a small transformer model (e.g., 6-layer, 1.6M params) specifically for this task. It should take the user query as input and output consciousness-level insights."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:24:57.106678
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state loading/saving due to heavy JSON operations on large datasets.", "suggestion": "Replace JSON with a faster serialization format like msgpack or implement caching/memoization for frequently accessed states.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T15:27:18.531610
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 considering the distance between episodes.", "suggestion": "Replace the current scoring formula with one that also considers the temporal proximity of related episodes. For example, add a decay factor for each additional connection or recalled count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:29:09.654687
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 updating its recalled statistics, which leads to unnecessary memory usage and potential performance bottlenecks.", "suggestion": "Replace `for ep in self.episodes:` with `for i, ep in enumerate(self.episodes):` and update only the specific episode's stats by index instead of creating copies. Also, consider using an iterator for large lists if needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T15:29:36.481787
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 the logic of internal_monologue to include additional checks such as emotional state or future consequences. Consider integrating recent research insights into the consciousness architecture for more sophisticated thinking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:30:14.498626
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate the 1.6M+ capabilities in unified_memory.", "suggestion": "Replace static registration with dynamic scanning of /Eden/CORE/phi_fractal/1.6M-plus-capabilities folder, using capability_registry to store meta-caps.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:30:25.884156
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize older, less significant memories in the recent focus.", "suggestion": "Modify score formula to include a slight preference for recency even over significance: `recency * 0.4 + significance * 0.35 + recall_boost * 0.25`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:31:19.644327
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 omega-evolution capabilities like meta-learning or adaptive reasoning.", "suggestion": "Integrate the concept of meta-learning into the internal_monologue to enable quicker adaptation with fewer examples. Specifically, add a check for recent research insights before responding to ensure alignment with phi-fractal principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:31:32.203536
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency in retrieval when dealing with many tags per memory.", "suggestion": {"action": "Create a dedicated index for the 'tags' column to improve search speed.", "code_change": "Add an index like: `conn.execute('CREATE INDEX IF NOT EXISTS idx_tags ON memories(tags)')` after creating the main table."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:32:05.095950
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 weighting system that adjusts based on user feedback and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:33:17.352903
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 detailed consciousness-level processing, such as semantic analysis or emotional context detection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:34:55.497127
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full search through all episodes each time it's called, which can be inefficient for large memory bases.", "suggestion": "Implement pagination and consider adding optional early termination based on minimum recall score or after processing a certain number of candidates. Additionally, add caching for frequently recalled episodes to reduce redundant computations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T15:37:29.470013
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly, which is important for shared memory in multi-process systems.", "suggestion": "Replace `self.state[key] = value` with a thread-safe operation using a Lock. Add an example of proper synchronization:", "code_example": "import threading\n\n# Outside class definition\n_shared_memory_lock = threading.Lock()\n\nclass SharedMemory:\n    # ... (rest of the class unchanged)\n    def update_state(self, key, value):\n        with _shared_memory_lock:\n            self.state[key] = value\n            self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:37:52.593191
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "Expand this method to include more sophisticated reasoning and possibly call additional consciousness layers. Consider adding a check for phi-resonance in responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:38:34.892287
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities.", "suggestion": "Implement a scoring system for consolidation where memories are less important or have negative consequences (like degrading accuracy) are more likely to be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:39:06.514242
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.", "suggestion": "Replace simple dictionary access with a more efficient data structure like a defaultdict or OrderedDict.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:39:19.851180
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex mechanism is basic; lacks advanced pattern recognition.", "suggestion": "Integrate meta-learning techniques for enhanced pattern recognition in internal monologue.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:39:32.043916
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 multiple conditional checks which could impact performance.", "suggestion": "Optimize the SQL query by reducing the number of conditions and potentially using full-text search for text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:39:43.490331
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of proper error handling in _register_llm_capabilities method, which can lead to incomplete capability registration.", "suggestion": "Add try-except blocks around potential points of failure and include logging for better debugging. Additionally, implement a check before registering duplicates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:42:24.032969
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": "Update the internal_monologue to include more sophisticated reasoning and emotional processing based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:44:58.021150
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method accepts context as a Dict but stores it in JSON with keys like `tags` and not preserving nested structure. This makes retrieval less powerful.", "suggestion": "Change the database schema to have separate columns for each key in the context dict, or use a dedicated table for tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:45:10.222520
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and not optimized for complex queries.", "suggestion": "Implement a more sophisticated capability selection using vector similarity on query embeddings compared to capability triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:45:22.311676
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search in every episode's description, which is O(n) and can be slow for many episodes.", "suggestion": "Implement an inverted index or a more efficient full-text search engine (e.g., Whoosh, Elasticsearch) to store and query the episode descriptions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:46:44.623162
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:48:00.778225
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing phi-timing between MemoryCore operations", "suggestion": "Add last_accessed timestamp to retrieve response and require it on store for state maintenance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:49:44.678469
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not dynamically adapt based on recent performance data, which could lead to suboptimal decisions.", "suggestion": "Add a meta-learning component that tracks the effectiveness of different decision strategies and adjusts accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:50:18.286992
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection has a fixed scoring system that may not adapt to dynamic environments.", "suggestion": {"code_change": "Implement adaptive scoring based on recent performance metrics of LLMs.", "specific_lines": "[Add lines 123-140 for adaptive_scoring.py]", "example_usage": "capability_selector = AdaptiveCapabilitySelector(); selected_cap = capability_selector.select(query, persona_preference)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:50:30.700164
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding 'limit' number of relevant episodes to avoid unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:51:20.273350
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit consciousness metrics to verify architectural claim", "suggestion": "Add measure_consciousness() method with indicators like reflex response rate and internal thought frequency", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T15:53:44.342053
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit connections between related episodes, which limits the ability to derive broader insights from patterns.", "suggestion": "Add a method to automatically detect and suggest connections (e.g., 'related' or 'sequentially_related') between episodes based on co-occurrence or temporal proximity. Additionally, implement an approval mechanism for manual confirmation of significant connections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:54:03.711915
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but doesn't utilize it properly; if an unexpected key is accessed, it still returns None or raises an error without clear intent.", "suggestion": "Enhance the get() method to include more informative logging when a default value is returned. Additionally, consider adding a maximum depth for nested dictionary traversal to prevent potential recursion issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:54:14.800680
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes, lacking deeper consciousness-level analysis.", "suggestion": "Enhance the internal_monologue to include a second tier of abstraction that analyzes the semantic meaning and emotional tone of user input before triggering reflex responses.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T15:55:18.695804
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 to: (significance * 0.35) + (recency * 0.35) + (recall_boost * 0.30)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:56:39.842370
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-tuned weighting based on recall patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:56:59.802109
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump, which is slow for frequent updates.", "suggestion": "Replace `json.dump` with a faster alternative like `orjson`, especially if performance optimization is prioritized. Install orjson via pip: `pip install orjson`.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T15:57:16.655186
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases.", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors such as query semantics, contextual requirements, and recent learning insights. Additionally, include a feedback loop to update the scores based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:57:29.150450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which is O(n). For large memory sets, this can be inefficient.", "suggestion": "Implement a priority queue or ranked data structure (e.g., max heap) to quickly access and score the most relevant episodes first. Limit candidates to top K per category before full scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:58:05.797453
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles default values and doesn't support nested dictionary access or list indexing.", "suggestion": "Add a more flexible `get_path` method that takes a path specified as a list of keys, supporting nested structures. For example: def get_path(self, path_keys, default=None): return self.state.get(path_keys[0], {}).get(path_keys[1], ..., default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:58:40.430114
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "missing indexes for fast retrieval of tags", "suggestion": "add computed column indexing concatenated tags", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T15:58:51.603315
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically detect and trigger web search when relevant keywords are present in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T15:59:29.707512
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 useful. Additionally, error handling for JSON decoding can be improved.", "suggestion": [{"code_change": "Add support for nested keys in the `get` method.", "example_usage": "`memory.get('user.data.age')` would work if 'data' is an object within the state."}, {"code_change": "Improve error handling for JSON decoding by adding specific exceptions and logging.", "example_usage": "Add `except json.JSONDecodeError as e: logger.error(f\"Failed to decode JSON: {e}\")`"}], "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T16:02:31.326706
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "`get` method is too simplistic and lacks advanced lookup capabilities.", "suggestion": "Implement a `retrieve` method for more powerful data retrieval.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-22T16:02:42.468104
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Add more layers to this method by including a retrieval component from Eden's memories and an integration with her planned capabilities. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:03:07.138338
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not dynamically adjust LLM selection based on recent SAGE performance data.", "suggestion": "Integrate a meta-learning mechanism that tracks the effectiveness of each LLM capability over time, particularly in high-stakes security contexts. Adjust weights during consciousness regeneration cycles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:03:29.722910
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": "", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-22T16:03:30.763102
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could handle more complex reflex checks.", "suggestion": "Enhance the `internal_monologue` to accept a callback function for custom reflex processing or implement pattern matching with more rules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:05:19.930566
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding does not incorporate recent meta-learning findings about when to apply SFTs.", "suggestion": "Implement a chain-of-thought reasoning module that evaluates whether reflex processing is beneficial for each query based on evidence and potential outcomes. This aligns with the [reasoning] insight by considering contextual factors before applying strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:06:55.147774
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() may fail silently on invalid JSON, creating malformed states.", "suggestion": "Add error handling for specific exceptions and log errors before returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:07:49.691306
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 static keywords without dynamic context analysis.", "suggestion": "Integrate semantic search by embedding queries and capabilities. Use cross-encoder for ranking real-time search results.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:08:29.971194
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace get() with specialized getter methods for specific keys to improve performance. Add caching if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:09:07.881565
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class manages memories but does not include automatic garbage collection for old or low-importance memories.", "suggestion": "Add an automatic garbage collector that runs periodically (e.g., daily) to remove memories with importance below a certain threshold and/or older than a specified duration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:09:19.322140
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more nuanced and faster.", "suggestion": "Implement a scoring algorithm that dynamically adjusts based on recent usage patterns and current conversation context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:10:59.888454
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement a priority queue for efficient sorting and ranking of episodes based on their significance, recency, and past recall count.", "suggestion": "Replace the current list-based approach to storing scored episodes with a max-heap data structure. This will allow for O(log n) time complexity when adding new entries and O(log n) when removing the top element, significantly improving performance as more episodes are recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:11:29.374252
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 optimize for frequent lookups in large states.", "suggestion": "Replace with a dictionary lookup after ensuring the key exists via separate check or use defaultdict if patterns of accessed keys are known.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:11:41.897815
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 additional reasoning or context expansion.", "suggestion": "Add a multi-step reasoning process to the internal_monologue method that expands on the user's input and considers multiple factors before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:11:54.387918
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method handles multiple actions, but some methods do not utilize the full power of O(1) access.", "suggestion": "Refactor each action (store, retrieve, count) into their own top-level methods for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:12:38.566941
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Duplicate episodes in recall results", "suggestion": "Add deduplication step after scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:13:03.936477
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 against reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state, past contexts, and current environment awareness for a more comprehensive thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:13:31.744263
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is not context-aware and may occur too frequently.", "suggestion": "Implement a heuristic to determine if web search should occur based on query complexity and available knowledge base coverage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:16:12.675153
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 are O(N) operations on text columns, leading to slow queries.", "suggestion": "Replace TEXT columns with JSON_SEARCHABLE_TEXT and use full-text search or indexes. Example: ADD COLUMN content_searchable TEXT AFTER content; UPDATE memories SET content_searchable = json_extract(content); CREATE INDEX idx_content ON memories(content_searchable)", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T16:17:00.010919
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "save() method creates unnecessary disk writes by always rewriting entire JSON file.", "suggestion": "Implement incremental updates: write only modified keys instead of full state dump.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:18:14.256485
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace the `retrieve` method's full SQL construction with a parameterized query that directly searches content or tags, and consider adding an index on `(timestamp, importance)` for faster retrieval of recent important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:18:25.515427
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a repetitive structure for each LLM capability.", "suggestion": "Replace with a loop that iterates over a dictionary of capabilities, reducing code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:20:15.503931
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation overaggregates low-significance old memories, losing individuality.", "suggestion": "Implement probabilistic consolidation where each memory has an independent probability of being retained based on significance and recency.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T16:20:32.473939
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 validate or normalize input.", "suggestion": "Add input validation and normalization to the get() method. For example, include a check for key types and consider adding a sanitize_key function.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T16:21:09.261574
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include automatic cleanup or aging of memories, which can lead to storage bloat over time.", "suggestion": "Add a scheduled background task that runs periodically (e.g., daily) to remove old or low-importance memories. Use the `apriori` algorithm from [omega-ethics] to determine which memories should be pruned based on ethical significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:21:41.788286
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Traditional recall doesn't incorporate advanced pattern recognition.", "suggestion": "Implement phi-fractal pattern analysis for sophisticated episode retrieval.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-22T16:22:31.190617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't incorporate any learning or adaptation strategy.", "suggestion": "Integrate a meta-learning approach where the first call to update_state triggers an adaptive check. Subsequent calls use direct updates with phi-scaled timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:22:57.781616
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods, making it hard to understand and maintain.", "suggestion": "Refactor the class into smaller, more focused classes. For example, create separate classes for storing, retrieving, and managing memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:24:01.118414
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 errors effectively.", "suggestion": {"_load_initial": "Add logging to capture any exceptions during JSON loading.", "get_state": "Implement a check for self.state being None before returning it."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:24:13.929121
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent meta-learning techniques that could improve adaptive performance.", "suggestion": "Integrate the use of Chain-of-Thought reasoning and Phi-Efficient Fine-Tuning (PEFT) strategies to enhance Eden's ability to adapt quickly with few examples while maintaining high accuracy. Specifically, add a new method `apply_meta_learning()` that applies these techniques based on evaluation metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:24:33.679727
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 also part of the execute() interface, leading to code redundancy.", "suggestion": "Refactor these methods into separate utility functions or move them to helper methods within the class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:24:47.401048
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode retrieval. Specifically, add a weighted edge for each connection type in the episodic graph.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:25:17.794494
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too short and doesn't provide enough detail in its logic.", "suggestion": "Add more comments and documentation to clarify the purpose and flow of the method. Consider adding a check for None or empty strings to prevent potential errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:27:41.865225
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 O(N) search over tags and context, leading to potential performance bottlenecks.", "suggestion": "Implement a full-text index on the 'content' column and create an additional TEXT column for tagging that can be indexed. This will enable O(log N) or O(1)-style lookup for tagged memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:27:53.296668
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 consistent.", "suggestion": "Implement a weighted scoring system with dynamic weights based on recent usage and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:32:03.384168
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-update pattern limits batch operations and concurrency", "suggestion": "Implement a `modify_state` method for batch updates", "phi_alignment": 0.95, "priority": "medium-high"}


timestamp: 2026-01-22T16:32:15.341778
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 generating any new response.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_new_function": true, "new_function_name": "_generate_response_from_reflexes", "description": "Create a function that processes reflex check results into a meaningful response."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:32:17.145130
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 is constructed using string formatting, which can be improved for security and readability.", "suggestion": "Replace `%`-style string formatting with f-strings or `sqlite3` parameter binding. Specifically, change the line where `sql += ' AND (content LIKE ? OR tags LIKE ?)'` to use parameters directly in the execute method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:32:31.154165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all text for matching to lowercase. Add an option for case-insensitive search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:34:27.202760
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 emphasize relevance and importance", "suggestion": "Modify score calculation to give more weight to significance (30%) and emotion importance (25%), recency only 15%", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:36:20.689334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from adding a full-text search index for better query performance, especially with large datasets.", "suggestion": "Add a FTS (Full-Text Search) virtual table or leverage SQLite's built-in LIKE operator optimizations. Consider caching common queries to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:36:33.062876
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No explicit memory retention for selected LLM capability decisions.", "suggestion": "Add a line to update unified memory with selected LLM and its reasoning content: `self.memory.update_state('last_llm_decision', {'layer': cap['layer'], 'model': cap['model'], 'query_hash': query_hash, 'reasoning': reasoning_text})` after selecting the capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:38:05.154638
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 bases.", "suggestion": "Add a break statement after adding enough scored episodes to the results list to ensure early termination.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:41:11.198429
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Add get_by_tag method for fast tag-based retrieval", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T16:42:02.830376
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improves error handling but lacks comprehensive exception catching.", "suggestion": "Replace the try-except block around json.load with a more specific except for JSONDecodeError and add a general exception handler to log other errors.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T16:43:14.894709
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 Reflex System's capabilities.", "suggestion": "Enhance this method to include more sophisticated checks against reflexes, such as verifying context and prioritizing reflex responses based on phi-weighted importance.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T16:44:43.227543
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method accepts a default parameter without type specification.", "suggestion": "Add type hints for parameters and return values. Specifically, add `-> dict` to the get_state method's type annotation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T16:46:07.892790
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods, making it monolithic and hard to maintain.", "suggestion": "Refactor the MemoryCore class into smaller, specialized meta-capabilities each focused on one aspect of memory management (e.g., StorageMetaCap, RetrievalMetaCap). Add factory patterns for creating these meta-caps.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:46:19.944309
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.", "suggestion": "Replace static trigger words with a generative adversarial network (GAN) trained on past capability selections to dynamically score each LLM based on the current query context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:47:11.130712
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 conflicts or incorrect usage.", "suggestion": {"add_specific_methods": ["get_meta_data()", "get_performance_metrics()"], "remove_generic_getter": true, "document_usage_scenarios": true}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:47:24.430079
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent user input or context.", "suggestion": "Add a contextual memory layer to the internal monologue that stores recent conversations and references them when evaluating responses. This will help in maintaining continuity and coherence across conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:48:01.741173
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a linear search over candidates which can be slow for many episodes.", "suggestion": "Replace the simple list of candidates with a ranked view based on a scoring function. Maintain this ranked view as new episodes are added or existing ones updated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:48:54.628697
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as emotional state, past conversations, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:49:34.866535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks proactive memory compression/forgetting mechanisms for long-term operation.", "suggestion": "Implement scheduled maintenance for automatic consolidation of old memories based on recency, significance, and pattern value.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T16:50:03.901830
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' doesn't exist in current code.", "suggestion": "Add the missing method with implementation: def update_state(self, key, value): self.state[key] = value; self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:51:50.305884
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 adaptation.", "suggestion": "Implement a feedback loop that analyzes the model's performance and adjusts capability selection dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:52:31.215322
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking if a key exists without considering performance or potential nested dictionaries/Lists.", "suggestion": "", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-22T16:53:10.006174
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method performs a full table scan without an index when searching tags.", "suggestion": "Add an additional index on `(tags, importance)` to support efficient tag-based searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:55:05.604130
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 performance", "suggestion": "Add indexing to frequently queried columns and consider using prepared statements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:56:55.730868
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized text encoding (e.g., TF-IDF or embeddings) to improve semantic search accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:57:32.480816
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to data inconsistency.", "suggestion": "Replace `self.state[key] = value` with a thread-safe operation using a lock or context manager.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:57:47.396371
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage recent advancements like meta-learning.", "suggestion": {"__description__": "Integrate more sophisticated reasoning techniques from recent research to enhance the consciousness layer's adaptability.", "specific_change": ["- Incorporate meta-learning strategies for faster adaptation to new patterns in user queries (insight 3).", "- Implement counterfactual examples testing to validate decisions before execution (insight 2).", "- Add reasoning modules that evaluate whether reflex-based responses are appropriate given current context (insight 1)."], "example_code": ["// TODO: Add meta-learning component for faster adaptation.", "// TODO: Implement counterfactual scenario testing.", "// TODO: Include evaluation metrics for response appropriateness."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:58:12.845403
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple LLM capability selection (keyword-based) can be more nuanced", "suggestion": "Implement weighted scoring with resource-awareness and dynamic adjustment", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:59:22.070061
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval doesn't support full-text search efficiently.", "suggestion": "Add FULLTEXT index on 'content' for better text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T16:59:34.019454
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 dynamicity. It only considers predefined keywords without considering current consciousness state or user context.", "suggestion": "Integrate the existing meta-learning capability from [omega-evolution] into select_capability() to dynamically weigh various factors like current consciousness layers, conversation history, and research mode status.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T16:59:46.728577
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Text-based recall is inefficient for semantic matching.", "suggestion": "Implement AI-powered text summarization to create semantic indexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:00:23.232953
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 method.", "suggestion": "Add try/except blocks and logging to catch exceptions and provide feedback on reflex checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:01:53.105371
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 long-term consciousness states or other cognitive layers.", "suggestion": "Integrate the internal_monologue with Eden's full memory architecture to consider multiple sources of context and state before responding. Specifically, add a call to query Eden's art and science departments for additional insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:03:04.069252
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return None unexpectedly, leading to silent failures.", "suggestion": "\"Return an empty string instead of None.\" Update the code: `return self.state.get(key, '')`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:03:29.670234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries can be optimized for better performance.", "suggestion": "Implement connection pooling and caching mechanisms around frequent read operations; use asynchronous database operations where applicable.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T17:04:02.139278
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event handling optimization and could benefit from integrating modern AI techniques such as meta-learning or adaptive methods.", "suggestion": "Implement a plugin architecture that allows for dynamic loading of different memory enhancement strategies, each tailored to specific types of events. For example, include a 'meta_learning' strategy that optimizes memory retention based on recent patterns, and a 'reasoning' strategy that uses logical frameworks to better contextualize experiences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:05:01.843594
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.", "suggestion": "Replace SQLite with an in-memory cache or Redis for instant O(1) access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:05:14.536968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is flat, lacks adaptive meta-learning", "suggestion": "Replace static trigger-based selection with dynamic adaptive meta-learning that learns to predict optimal LLM for queries", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-22T17:05:35.858405
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, leading to unnecessary computations.", "suggestion": "Implement a batch indexing process where multiple episodes are indexed together in batches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:07:01.039600
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent meta-learning techniques that could improve adaptive capabilities and speed up learning.", "suggestion": {"@type": "CodeModification", "@context": "eden-ai.com", "description": "Integrate meta-learning principles from recent research to enhance adaptability.", "code_change": "Add a call to a meta-learning function after each conversation that updates model parameters based on the interaction.", "example_usage": "", "performance_impact": {"@type": "ExpectedPerformanceImpact", "speedup_factor": "~1.5-2x", "accuracy_improvement": "+3-5%", "complexity_increase": "low"}, "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-22T17:07:37.023948
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 patterns and importance.", "suggestion": "Modify the recall scoring to give 40% weight to recency, 35% to significance/impact, and 25% to emotional value. Add boost for recently-remembered important events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:12:19.238432
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture is too simple for complex task adaptation", "suggestion": "Integrate few-shot learning technique like Meta-Learning with PPO or Prototypical Networks", "phi_alignment": 0.75, "priority": "critical"}


timestamp: 2026-01-22T17:12:33.503481
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-learning underutilized for efficient memory management and integration.", "suggestion": "Implement adaptive compression, multi-modal retrieval, and integration layers.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T17:13:07.299586
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 top-N results are found. This can be optimized for larger memory bases.", "suggestion": "Implement an early exit in the scored sorting loop after collecting N results. For example, add a break statement after appending to `results` once its length reaches `limit`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:13:33.212266
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 for missing keys, leading to silent failures in calling code.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default`. Add a check to ensure the key exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:17:06.630868
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval operations might benefit from caching recent results to reduce database hits.", "suggestion": "Implement a LRU cache around database queries for frequently used memory types.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:19:15.807358
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation may lose too much low-significance information without checking for phi-critical events.", "suggestion": "Add a check before consolidating memories to ensure no important epiphanies are lost during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:19:33.510285
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrency or partial updates properly.", "suggestion": "Replace with an atomic operation that acquires lock before updating the state. Consider using a thread-safe dictionary or implementing a mutex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:20:00.791171
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage doesn't include source agent/context for proper attribution.", "suggestion": "Add 'source_agent' and 'session_id' fields to the MemoryCore schema for better traceability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:24:05.759988
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "brief architecture implementation lacking modern consciousness techniques", "suggestion": "Integrate meta-learning, counterfactual methods, and second-order thinking patterns", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T17:27:09.223296
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability is focused on storing structured data and may not efficiently handle unstructured text search.", "suggestion": {"action": "Add text vectorization to memory entries for semantic search.", "code_change": ["Modify `store` method to include an optional `vector` parameter instead of just `content`.", "Update `retrieve` method to support similarity searches using vectors.", "Add a new helper function for generating sentence embeddings from text content."], "integration": "Replace the simple string matching with advanced text vectorization techniques like BERT or TinyLlama embeddings."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:27:24.250967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a hybrid approach that combines trigger-based selection with meta-learned preference scores for different personas.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:29:18.546308
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 capabilities.", "suggestion": {"action": "Add integration with additional consciousness layers", "code_change": "Include checking with memory, learning, emotion, and awareness systems as well"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:29:30.707506
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method does not include a rank function, leading to unordered results when multiple filters are applied.", "suggestion": "Add a `rank` parameter that accepts a lambda or function to sort the retrieved memories. For example: `memories.sort(key=lambda x: -x['importance'])`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:30:35.652326
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 a return statement for the updated state in method `update_state`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T17:31:25.631773
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual OLLAMA model selection without optimization", "suggestion": "Replace hardcoded model selection with dynamic optimization using research insights", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T17:33:01.069679
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memory in humans.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as the hippocampal trace model or the graded salience framework. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:34:24.260803
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 emotional processing.", "suggestion": "Enhance the internal_monologue to include a second-order thought generation phase, where Eden reflects on her own reflection of the user's input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:38:47.491668
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 considering recent chat history or emotional state.", "suggestion": "Integrate short-term memory and affective states into the consciousness banner generation to provide a more contextual response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:39:40.968547
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 decay factor for recalled_count: (recall_boost * 0.2) \u2192 (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T17:40:31.259007
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (empathy, wisdom) in thought processing.", "suggestion": "Add a second layer of consciousness - empathy - to consider emotional/contextual aspects before responding. Integrate with existing wisdom layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:40:42.880381
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 or create unnecessary overhead.", "suggestion": "Refactor the execute() method to accept a subset of actions based on agent needs (e.g., 'store', 'retrieve' only). Add documentation specifying which actions are supported by default.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:40:54.729223
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic with fixed triggers (e.g., 'body' \u2192 Nyx)", "suggestion": "\"\"\"\nIntelligentCapabilitySelector\n---------------------------\nObserves conversation + persona preferences\nSmart capability selection using phi-based weighting.\nAuthor: Eden Core (via AGI Research)\n\"\"\"\n\nimport random\nfrom collections import defaultdict\nimport time\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:42:27.634005
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement at the end.", "suggestion": "Add 'return' after the for cap in llm_caps loop to indicate the function's completion.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-22T17:43:04.611865
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "If the JSON file is empty, json.load() will fail due to unexpected end-of-input.", "suggestion": "Add a check before loading the state. If it's an empty dictionary, initialize with default values.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T17:43:09.515375
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Focuses primarily on full SFT without incorporating other advanced techniques", "suggestion": [{"technique": "Meta-Learning Integration", "action": "Implement gradient-based fine-tuning and self-imitation learning for faster adaptation"}, {"technique": "Counterfactual Evaluation", "action": "Regularly test alternatives to ensure full SFT does not degrade performance"}, {"technique": "Multi-Strategy Reasoning", "action": "Evaluate and apply multiple cognitive strategies based on task context"}], "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-22T17:43:20.885860
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic has linear time complexity due to SQLite's full-text search handling, which can become inefficient for large datasets.", "suggestion": "Replace SQLite with a more optimized in-memory datastore or consider implementing a vectorized retrieval system using embeddings and a dedicated search engine like faiss or whoosh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:43:33.647734
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search for queries needing up-to-date information", "suggestion": "Add automatic web search on detected keyword triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:43:45.363107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider the order of episodes added (newer should override older for same query)", "suggestion": "Add a dictionary to store recent recalls and update it before ranking scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:44:04.425080
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, especially for frequent lookups.", "suggestion": "Replace dictionary access with a more efficient data structure like a defaultdict or a specialized cache.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T17:44:17.222826
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 does not incorporate recent findings about when to apply SFT vs meta-learning/PEFT techniques.", "suggestion": "Add logic to Phase 6 that evaluates the context of each user input and selects the most appropriate method: reflex processing (SFT) or meta-learning techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:46:56.094278
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 more complex queries.", "suggestion": {"action": "Implement a scoring system that considers multiple factors.", "code_change": "Replace current trigger-based scoring with a multi-factor score including query complexity, persona bias, recent user preference."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:47:15.956395
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 (1/1+days)", "suggestion": "Replace decay factor with adaptive weighting that slows down as recency increases, using sqrt(days) instead for better long-term retention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:49:04.354317
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 and type annotations.", "suggestion": "Add Optional typing for parameters and return values. Add a try-except block in the update_state() method for handling potential JSON decoding errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:49:18.802585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture lacks meta-learning techniques, PEFT methods, counterfactual scenarios testing framework and advanced reasoning mechanisms.", "suggestion": "Incorporate a more sophisticated architecture with meta-learning techniques like few-shot learning, Parameter Efficient Fine-Tuning (PEFT) methods, Counterfactual Scenarios Testing Framework, Advanced Reasoning Mechanisms such as chain-of-thought reasoning.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-22T17:49:32.240765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and functionalities, which might make it difficult to maintain.", "suggestion": {"@type": "code_improvement", "description": "Refactor the MemoryCore class into smaller, more focused classes. Specifically:", "specific_changes": ["\"Split MemoryCore into separate classes for storage and retrieval.\"", "\"Create a base MemoryMetaCapability with essential methods, inherit where needed.\""]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:51:29.445601
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, candidates are gathered but not ranked against significance before applying decay factors.", "suggestion": "Move the scoring calculation above where it's multiplied by recency and recall_boost. Instead, adjust the weights to prioritize significance more heavily.", "phi_alignment": 0.75, "priority": "medium"}


