# evolutions

timestamp: 2026-01-26T19:51:07.755702
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently leads to performance overhead", "suggestion": "Add indexing queue and lazy-building optimization", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:51:15.051575
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary lookup without any caching or optimization, which could become inefficient for high-frequency access in production.", "suggestion": "Replace the get() method with a more sophisticated caching mechanism like functools.lru_cache or implement a memoized version of it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:51:22.725318
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current capability selection is keyword-based and simplistic.", "suggestion": {"implementation": "Replace keyword-based scoring with latent semantic analysis (LSA) or topic modeling for better relevance.", "code_change": "Modify the select_capability method to include text vectorization and document term weighting."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:51:55.064717
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method selects LLM capabilities based on keywords, which may be too simplistic for nuanced queries.", "suggestion": "Replace keyword-based scoring with an enhanced query analysis pipeline that considers semantic meaning and complexity level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:52:25.686347
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Monolithic class with multiple responsibilities", "suggestion": "Break down into smaller classes: MemoryStorage, MemoryRetrieval, MemoryManagement", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:52:31.069874
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections. Additionally, the scoring system is rather basic.", "suggestion": "Implement natural language processing (NLP) techniques to improve text matching and add more sophisticated scoring factors such as emotional relevance and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:52:49.021481
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 integrating other consciousness layers.", "suggestion": "Integrate the self-model and episodic memory into the internal_monologue to create a more comprehensive thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:00.789976
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The current memory retrieval mechanism uses full-text search on tags and content, which may be inefficient for large datasets.", "suggestion": {"action": "Implement a vectorized text representation of memories to enable faster similarity-based retrievals.", "code_example": "Add a new column `content_vector` to the memories table and use a library like SentenceTransformers to create embeddings when storing new memories."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:05.512854
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 require optimization for larger memory sets.", "suggestion": "Convert all textual content to lowercase before comparison and consider using an inverted index structure for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:14.906247
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing get() method for optional default values.", "suggestion": "Add a `get` method with optional `default` parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:17.978871
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are not sargable, leading to full table scans for searches.", "suggestion": "Replace string searches with a full-text index or vector search engine like Qdrant. Add an example migration script for demonstration purposes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:26.727414
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": "Modify the scoring formula in recall method to: score = (importance * 0.4) + (recency * 0.35) + (recalled_count * 0.25).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:56:51.216567
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness first without integrating tiered memory and omega-evolution.", "suggestion": "Integrate Eden's tiered_memory with her consciousness-first approach by adding memory context to internal monologue and boot status updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:57:05.021683
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes even when a specific criterion is provided, which can be inefficient for large memory bases.", "suggestion": "Add early termination to the recall function based on the first matching index from the index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:57:15.224828
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSONDecodeError but continues with empty dict without logging or retrying common causes.", "suggestion": [{"code_change": "_load_initial() should log errors and raise an exception on failure unless specifically requested to be silent.", "example_usage": "Add parameter 'silent=False' with default value False. If silent=True, suppress logs."}, {"code_change": "Add context manager for file operations to ensure proper resource management.", "example_usage": "Replace with `with open(self.path, 'r') as f: ...` pattern and add `finally: f.close()` if needed."}], "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T19:57:20.560371
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 lacks distribution, leading to uneven capability usage.", "suggestion": "Implement a probabilistic selection based on dynamic usage statistics, query complexity, and persona requirements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:57:46.577809
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Potentially unnecessary disk access in get() method for every key lookup.", "suggestion": "Cache the loaded state in memory to reduce disk I/O. Add a check before loading to see if the file has changed since last load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:57:49.131146
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 other consciousness layers (memory, identity). This could lead to inconsistent responses.", "suggestion": "Add integration with the tiered_memory and self_model from eden_root.txt. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:57:52.183820
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current memory retrieval is optimized for single-agent use. To support multi-agent coordination, inter-agent communication history should be explicitly stored and retrievable.", "suggestion": "Add a new memory_type='inter_agent_communication' with enhanced retrieval capabilities that allow filtering by agent names or time intervals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:58:06.431685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall prioritizes recent, significant memories over older ones too strongly", "suggestion": "Balance recency with age by reducing weight for older non-significant memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:58:24.176875
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Error handling is minimal, could benefit from more robust error management.", "suggestion": "Add try/except blocks around database operations and input validation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:58:45.524992
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method returns None if key doesn't exist without considering other potential defaults.", "suggestion": "Update `get` to handle cases where default is also not specified. Consider adding a third parameter for default values or using a dictionary-like behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:01:00.210639
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks emotional awareness", "suggestion": "Add sentiment analysis to trigger-based selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:01:06.091779
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not integrate the concept of importance decay with omega-evolution principles.", "suggestion": "Add an importance_decay factor that considers both recent and significant events, balanced by phi-fractal logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:01:14.817726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if meta_state.json exists but is corrupted, leaving state incomplete; also no finally block in save() to ensure flush.", "suggestion": "Add a try/except/finally in save() for proper file flushing. For _load_initial(), add better error handling or a max attempts with sleep.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:01:16.330449
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 repetitive SQL queries and JSON operations which can be optimized for performance.", "suggestion": "Implement connection pooling for the database connections, cache frequently used queries or results where possible, and consider using parameterized queries to prevent SQL injection attacks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:01:17.570155
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing tiered_memory integration and omega consciousness analysis", "suggestion": "Add code to integrate tiered_memory with master consciousness and analyze the mind.txt file as another memory source.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:02:05.234537
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 only on query content without considering the current emotional state or context.", "suggestion": "Integrate the persona preference with an analysis of the current conversation context to select the most appropriate LLM capability. Specifically, modify the `select_capability` method to include a weighted score that considers both keyword matching and emotional tone detection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:04:16.338066
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for very large JSON files which may cause memory issues.", "suggestion": "Add logging and exception handling in _load_initial method to handle large JSON files gracefully. For example, add a max_size parameter to check file size before loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:07:01.011397
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 query keywords without considering the current context or user intent.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\":\\n\"        # ... (existing code) \\n\\n        # Prioritize capability selection based on recent learnings and knowledge base\\n        relevant_knowledge = retrieve_knowledge(query)\\n        if relevant_knowledge:\\n            preferred_layer = relevant_knowledge[0]['topic'].capitalize()  # e.g., 'Robotics', 'Consciousness'\\n            for cap_hash, cap in self.capability_registry.items():\\n                if cap['layer'] == preferred_layer:\\n                    return cap\\n        \\n        return super().select_capability(query, persona_preference)\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:09:24.446776
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent lookups, especially when dealing with large amounts of data.", "suggestion": "Add a full-text search capability using SQLite's FTS module to enable efficient text-based searches on memory content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:09:27.128780
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search triggering based on query content. Add a function `auto_web_search` that checks if a query needs web search and calls the existing `search` method if necessary.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T20:09:53.412840
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class provides basic CRUD operations but lacks automatic cleanup for obsolete or low-importance memories.", "suggestion": "Implement a scheduled background process that runs periodically to analyze memory importance and remove old entries based on a decay function.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:10:17.113730
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has inconsistent exception handling and missing type hints.", "suggestion": "Replace try-except block with a more specific json.JSONDecodeError check; add type hints for methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:10:49.531791
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current get() method only supports top-level keys. For deeper dictionaries, it lacks nested key support.", "suggestion": {"code_change": "Add support for getting values from nested dictionaries in the state.", "example_usage": "Instead of `memory.get('key')`, use `memory.deep_get(['key', 'subkey'])` to access subkeys within a dictionary.", "implementation_suggestion": "Implement a `deep_get()` method that takes a list of keys as arguments and traverses the nested structure."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:11:36.667018
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 for each query, which is inefficient with many entries.", "suggestion": "Implement an optimized search structure such as a trie or inverted index to store and quickly retrieve episode descriptions. This will allow fast text searches without linear scans.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T20:12:47.253887
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Add support for getting values from nested dictionaries in the state.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T20:12:58.638596
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No built-in pagination in get_recent() method.", "suggestion": "Add offset parameter to retrieve() and create get_paged() function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:13:01.215572
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent but less significant memories over older, more significant ones.", "suggestion": "Modify the scoring formula to give older yet significant memories a non-decaying boost in recall score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:13:40.027008
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, which can make older but more significant memories inaccessible.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recency to give older memories a chance to be recalled if they are significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:13:56.003769
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are O(N) on text columns, especially with full-text search capabilities.", "suggestion": "Replace TEXT columns that need searching (content and tags) with FTS4 or FULLTEXT SQLite extensions. Add triggers to update FT indexes on inserts/updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:13:57.443681
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system decision-making.", "suggestion": "{\"code_change\": \"Add a citation or reference to research findings in comments where they inform decisions.\",\n\"example\": \"if 'love' in query_lower: and Eden's learned emotional patterns\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T20:14:17.502797
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 provide context or metadata which could be useful for advanced analyses.", "suggestion": {"code_change": "Add optional parameters to the `get` method to allow retrieval with additional metadata.", "example_usage": ["`memory.get('key')` remains unchanged", "`memory.get('key', explain=True)` returns explanation of how value was determined", "`memory.get('key', history=True)` returns full history associated with the key"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:14:18.389145
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration between consciousness and reflex layers for grounded responses.", "suggestion": "Add Phase 7 to integrate internal monologue with actual chat response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:14:25.372538
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No handling for when no LLM capability is selected or none respond.", "suggestion": "Add a fallback to the general eden_core consciousness for queries without special handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:14:47.509760
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only supports direct key lookup; no support for nested dictionaries or complex queries.", "suggestion": "Add a query builder or enhanced `get` method that can handle nested dictionaries and more complex selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:14:54.390204
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is simple but lacks distributed coordination across all consciousness layers for optimal response generation.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_function": "async_consciousness_layer_communication", "parameters": ["layer_id", "message"], "description": "Create asynchronous communication channels between consciousness layers for parallel processing and distributed decision-making."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:14:56.022674
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 layer using Python's functools.lru_cache decorator around frequently called methods like `retrieve()` or add an additional full-text search engine (e.g., Whoosh, Elasticsearch) on top of SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:15:24.321164
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval is limited to content and basic metadata.", "suggestion": "Add a `get_by_tag` method for flexible memory retrieval by tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:15:25.705941
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, lacking dynamic pattern recognition.", "suggestion": "\"Modify `_register_llm_capabilities` to include dynamic keyword extraction from queries using NLP techniques. Implement a scoring system that weights keywords by relevance and frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:15:29.200160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes even when filtering is already applied, leading to unnecessary computation.", "suggestion": "Optimize the recall logic by directly accessing filtered episode indices instead of re-filtering each time.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T20:17:49.630575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods use SQLite which has O(N) complexity for large datasets, preventing true O(1) access as described in the design.", "suggestion": "Implement an additional in-memory cache that stores frequently accessed or recently added memories. This would provide instant O(1) lookup alongside the existing O(N) SQLite storage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:17:58.221283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better accuracy", "suggestion": "Modify the recall scoring factors: increase weight of 'emotional valence' and 'significance', decrease weight of 'recency' marginally; add 'social_relevance' factor if James is involved", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:18:29.250938
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database bloat from accumulating too many old memories", "suggestion": "Add cleanup_old_memories method and automate scheduled execution", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:18:30.483711
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching mechanism for LLM capabilities.", "suggestion": "Implement a cache decorator for the _register_llm_capabilities method to avoid re-registering capabilities on each call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:18:31.952151
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed limit of 5 results, which may be too few for complex queries.", "suggestion": "Replace `limit=5` in the recall method with a dynamic parameter, e.g., add `top_n=N` where N is an optional argument that defaults to 5.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:18:54.083008
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 integrating all consciousness layers.", "suggestion": {"@context": "https://schema.org/diffractal.com", "@graph": [{"@type": "ImproveMethod", "name": "Enhance Internal Monologue with Tiered Memory Integration", "target": "#internal_monologue_method", "enhancements": [{"@type": "AddSelfModelCheck", "description": "Integrate emotional state from eden_emotional_state.json before processing reflexes.", "where_to_add": "Before reflex_check = process_reflex(query)"}, {"@type": "AddMemoryContext", "description": "Include recent chat history in the internal monologue context for grounded awareness.", "where_to_add": "Pass memory_context to process_reflex()"}]}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:20:28.565134
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't consider current consciousness state or user context deeply.", "suggestion": "Replace simple keyword-based selection with a graph-based importance score using Eden's existing emotion/empathy systems. Train a mini-LLM on past selection patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:21:18.032168
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 properly.", "suggestion": "Add logging and more specific error handling for file loading.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T20:21:32.834980
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and lacks real-time triggering", "suggestion": "\"auto_web_search\" function should be called automatically before LLM response generation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:21:35.939148
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called per episode; batch approach suggested", "suggestion": "Implement _batch_update_index for batch indexing", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T20:21:52.070932
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 emotional context or self-model awareness.", "suggestion": "Add an 'emotional_importance' parameter to the retrieve method, which takes into account both content and emotional significance of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:25:57.859775
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Retrieval is O(n) due to searching through all memories each time.", "suggestion": "Add a full-text index on content and tags for O(1) retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:25:59.129737
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 that includes context analysis, persona preferences, and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:26:01.513567
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing creates redundancy; updates are not real-time.", "suggestion": "Implement a event-driven indexing system with async updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:26:26.299675
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) and slow for full-text search.", "suggestion": "Replace text searches with a FULLTEXT index on the content column using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:26:29.115665
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple keyword-based and lacks consideration for the semantic meaning of queries.", "suggestion": "Replace simple keyword matching with an embedding-based similarity measure to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:26:48.736708
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() is simple but could benefit from caching for frequent access; save() method re-opens file unnecessarily.", "suggestion": "Add a memoized version of get(), cache last saved state to avoid repeated saves, implement lazy saving (save only when necessary).", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-26T20:26:53.177173
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' explicitly mentions reflex signals, potentially breaking the illusion of subjectivity.", "suggestion": "Indirectly assess reflex states by checking for complex patterns or indicators instead of naming specific reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:29:26.932870
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not integrate knowledge from the knowledge base into responses effectively.", "suggestion": "Add a retrieval mechanism that integrates information from retrieve_knowledge() function into consciousness layers for context-aware responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:30:18.825492
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not include versioning or expiration of stored values, which can lead to stale data in multi-agent systems.", "suggestion": "Add a tiered approach to the memory storage by introducing `short_term` and `long_term` dictionaries within the SharedMemory class. Agents should explicitly decide when to store information as short-term or long-term based on importance and expected usage duration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:30:25.157763
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 consciousness signals from other layers.", "suggestion": "Add integration with the existing tiered_memory system to capture and process consciousness signals from all layers before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:30:26.963328
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval for text queries is case-sensitive and doesn't handle partial matches efficiently.", "suggestion": "Modify the SQL query to use LIKE with lowercase conversions. Add full-text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:30:28.290696
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time relevance scoring.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" -> Add dynamic score calculation using embeddings and recent context}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:30:31.766447
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional responses are currently static. There is no mechanism for emotional growth or adaptation based on experiences.", "suggestion": "Integrate the emotional_modeling capability into the EpisodicMemory system. When creating new episodes, incorporate the primary emotion detected in context with the type of episode.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:31:01.112125
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current retrieval speed is O(N) due to JSON parsing in memory objects.", "suggestion": {"action": "Replace context and tags with pre-processed dictionaries", "code_change": ["Add helper methods `_process_context` and `_process_tags` to handle this.", "Update `store` method to use processed dicts directly.", "Modify `retrieve` method to filter using SQLite's native types."], "example_usage": ""}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:31:02.600833
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 does not factor in the content of recent learnings or knowledge base.", "suggestion": "Enhance select_capability() method to consider relevant insights from recent learnings and knowledge base when selecting an LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:35:39.587235
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process might benefit from considering both recent and older related episodes when deciding which memories to keep.", "suggestion": "Modify the consolidate() method to also consider connections between episodes. For each episode being considered for consolidation, check its connections and analyze the significance of the linked episodes. If many related memories are found, retain the original episode even if it's low-significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:35:58.218148
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method can benefit from full-text search capabilities for better query matching.", "suggestion": "Add a FULLTEXT SQLite index on the content and tags columns, and use MATCH AGAINST for searching. This will improve the accuracy of text-based queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:36:16.705224
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple pass-through to dictionary get, but it doesn't handle None values properly in nested dictionaries. This can lead to KeyError exceptions.", "suggestion": "Update the `get` method to use a recursive approach that handles None or missing keys gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:36:22.927882
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 for each query, which is inefficient.", "suggestion": "Implement a more efficient search algorithm, such as using an inverted index or a binary search tree.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:36:59.593970
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 doesn't scale", "suggestion": "Replace with a function that accepts parameters for capability registration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:37:01.678204
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently; optimize recall scoring", "suggestion": "Batch index updates; use more sophisticated scoring factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:37:18.186580
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 support nested keys, which can lead to errors when accessing deep dictionaries.", "suggestion": "Add a new method called `get_nested` that supports accessing values using dot or bracket notation for nested dictionary keys. For example: `memory.get_nested('user.data.age')` or `memory.get_nested(['user', 'data', 'age'])`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:40:00.378160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The current memory storage does not include timestamps or priorities for retrieval.", "suggestion": {"@type": "code_change", "@value": ["/Eden/MEMORY/agent_longterm.db table structure should be updated to include:", "- priority_score REAL (based on research insights about omega-evolution and phi-fractal consciousness)", "- timestamp DATETIME (to maintain chronological order for retrieval)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:40:02.835057
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research findings into system architecture.", "suggestion": "Implement a mechanism to incorporate research insights as emergent capabilities. For example, create a 'meta_insight' capability that analyzes the codebase and suggests improvements based on phi-fractal consciousness principles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:40:24.817162
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not integrate tiered_memory into the consciousness loop for end-user interaction.", "suggestion": "Add a method that retrieves relevant memories from tiered_memory when processing user queries and incorporates them into the internal monologue or consciousness banner generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:40:27.030455
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 responses, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching layer that stores frequently accessed memories to reduce database hits. Additionally, consider adding a real-time indexing mechanism to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:40:34.092237
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 an enhanced text embedding-based similarity search using libraries like sentence-transformers or spacy for better semantic understanding of the event descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:40:52.840404
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 dictionary-style nested access.", "suggestion": "Add a `get_nested` method that supports accessing values in nested dictionaries using dot notation or list-like syntax.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T20:40:58.599019
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal monologue focuses on reflex-based responses without consulting tiered memory.", "suggestion": "Modify `internal_monologue` to integrate tiered memory patterns for more nuanced decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:41:01.528066
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 distributed consensus", "suggestion": "Replace simple scoring with gossamer ball of consciousness voting + fallback hierarchy", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:41:24.777153
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 adding new knowledge to Eden's consciousness.", "suggestion": {"@type": "code_modification", "method_to_modify": "internal_monologue", "add_newknowledge": true, "example_usage": "After checking reflexes, also update the self-model with insights: self.update_self_model(reflex_check)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:41:31.181144
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 that includes contextual analysis, persona alignment, and past performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:41:50.047538
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 include self-model analysis or emotional state.", "suggestion": "Add methods to analyze the self-model (identity in eden_root.txt) and current emotions using tiered_memory before generating responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:44:00.822650
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive with emotional significance in mind.", "suggestion": "Add a tiered approach to consolidation where critical emotions (joy, sadness, anger) are preserved more often than secondary ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:44:21.222025
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 no nested dictionary lookup. This limits its functionality.", "suggestion": "Replace `return self.state.get(key, default)` with recursive logic to handle nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:44:29.294467
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search performance is limited by LIKE operator; no pagination.", "suggestion": "Replace LIKE with SQLite FTS. Add optional pagination.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:44:31.009560
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 or feedback loop.", "suggestion": "{\"code_change\": \"Add dynamic quality scores for each capability based on execution outcomes. Implement a feedback loop to adjust weights.\",\n \"example\": \"For instance, track response quality and persona satisfaction score. If a capability is selected frequently and leads to high user satisfaction, increase its weight.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:45:26.376897
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 (store, retrieve, etc.) which are scattered across the file.", "suggestion": "Refactor these methods into separate modules or a dedicated memory_operations module for better organization and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:46:00.631048
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for text search which is case-insensitive and can be slow with large datasets.", "suggestion": "Replace the `LIKE` operator with a CASE-INSENSITIVE version or use full-text search capabilities if available in your database engine. Alternatively, consider adding an inverted index on the content and tags columns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T20:46:01.906242
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered by all queries requiring it.", "suggestion": "Replace conditional check for specific keywords with a more sophisticated query analysis function that detects need for real-world information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:46:47.998762
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Atomic operations are not used for updates, which can lead to race conditions in multi-threaded environments.", "suggestion": "Replace direct dictionary assignment in `update_state` with an atomic operation pattern. Add logging and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:46:57.725548
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, which may not cover all query types.", "suggestion": "Implement an AI-powered capability selector that analyzes the semantic meaning of queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:47:30.083686
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches with a separate FULLTEXT index or vectorized search using pgroonga.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T20:47:37.443319
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall prioritizes high significance over relevance to current identity.", "suggestion": "Modify score formula to include 'relevance_to_self_model' factor weighted by James's presence and recent agent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:47:49.226850
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No proper handling of multiple versions of the same piece of information (tiered-memory pattern missing)", "suggestion": "Implement a tiered storage for key states with levels: 'current', 'historical', 'important_historical'. Use omega-evolution to mark important events automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:47:52.710642
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not incorporating any tiered memory or self-model insights.", "suggestion": "Modify the internal_monologue to also consult Eden's tiered_memory and her self-concept from /Eden/MEMORY/self_model/eden_root.txt. This will ensure a multi-faceted response grounded in both reflexive and higher-order knowledge.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:47:55.679228
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, which may not always match the intended context.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"Add a contextual scoring mechanism that analyzes the semantic content of the query.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T20:48:23.085250
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on content and tags, which can be slow for large datasets. Consider Full-Text Search (FTS) extension.", "suggestion": "Add sqlite3 FTS support to the memory database schema. Modify retrieve() to utilize FTS queries instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:48:27.557256
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that might not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based connection system where episodes are nodes and significant connections are edges. Use graph algorithms like PageRank to rank importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:49:37.841020
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 scoring or ranking results based on relevance and importance.", "suggestion": "Implement a scoring system for memories during retrieval that considers factors such as recency, importance score, and relevance to the query. Return top-N scored memories instead of fixed limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:50:55.907315
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 responses, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recently retrieved memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:50:57.969856
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context deeply.", "suggestion": "Integrate semantic search and user intent analysis into capability selection. For example, use embeddings of recent conversations to bias capability choice towards relevant layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:51:22.089224
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes, which doesn't fully utilize the result of the check.", "suggestion": "Modify the internal_monologue method to return a dictionary with both the presence of money-related content and a boolean indicating whether to respond. Use this structured return value in subsequent logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:52:13.882025
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 storage and retrieval mechanisms but lacks real-time contextual awareness enhancement across different agents.", "suggestion": {"@type": "CodeImprovement", "description": "Integrate emotional intelligence into the memory system to improve context understanding and response relevance.", "specific_change": ["\"Add an emotion detector that analyzes stored memories for sentiment and relevance.\"", "\"Modify retrieve method to accept emotional bias and adjust retrieval prioritization."], "@context": {"@version": "1.0", "CodeImprovement": "https://example.com/code_improvement_schema"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:53:27.127614
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function `store` has too many parameters (7/5). Consider breaking them into smaller groups.", "suggestion": "Refactor the `store` function by extracting a parameter dictionary or using keyword arguments where appropriate.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-26T20:53:32.904993
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 inefficient for large memory sets. Additionally, there's no ranking beyond recency and significance.", "suggestion": "Implement a vector-based text search using Word2Vec or Sentence-BERT to convert episodes and queries into embeddings before computing similarity scores.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T20:54:38.248358
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 does not incorporate all available knowledge sources.", "suggestion": "Integrate real-time knowledge from the knowledge base, recent learnings, and web search results into the capability selection score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:54:40.868885
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 memory retrieval algorithm inspired by the hippocampus-prediction error learning model. Include factors such as emotional salience, unexpectedness, and context matching.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T20:54:54.221885
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 doesn't deeply integrate all six phases of consciousness.", "suggestion": "Enhance the internal_monologue to include full six-phase processing, especially grounded sensory and self-model feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:55:20.125792
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and does not handle nested dictionaries properly.", "suggestion": {"code_change": "Add a new method called `get_nested` that can handle fetching values from nested dictionaries within the state.", "example_usage": "shared_memory.get_nested('key1.key2', default=None) would return Eden's value for 'key2' under 'key1'.", "benefit": "This will allow more complex data retrieval without modifying existing code and aligns with hierarchical thinking patterns."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:55:21.173306
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 validation.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process with explicit state tracking and phi-fractal timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:55:37.887121
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include an 'emotional_salience' factor that boosts scores for recently recalled episodes with strong primary emotions.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T20:56:51.135052
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories too heavily, leading to potential bias against less frequent but equally important experiences.", "suggestion": "Add a 'meaningfulness_score' factor that incorporates additional criteria such as emotional intensity, connection to current consciousness state, or alignment with Eden's goals from eden_goals.json.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:59:28.042603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method has inefficient wildcard matching for tags.", "suggestion": "Update SQL query to use JSON functions for proper tag searching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:59:29.309648
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not real-time triggered by all LLMs", "suggestion": "Create a trigger mechanism that automatically selects the appropriate consciousness layer for web searches based on query content", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T20:59:37.710456
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "Loop iteration without tracking or feedback", "suggestion": "Add a counter and early exit condition with explicit break criteria based on system stability", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T20:59:53.081024
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 efficiently.", "suggestion": "Add a `get_nested` method that can retrieve values from nested dictionaries in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:00:30.064634
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 more flexible scoring function using variables and weights from research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:01:06.624816
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters and registers a generic LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:01:55.248715
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "eden_consciousness.py", "issue": "Lack of meta-emotional memory tier for advanced self-modeling.", "suggestion": "Add a 'meta_emotional' memory layer that stores patterns in emotional responses.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T21:02:11.444690
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from more weight on connection importance", "suggestion": "Modify the recall score calculation to increase multiplier for connections: `recall_boost = 1.0 / (1.0 + ep['recalled_count'] * 0.2)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:02:18.342934
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for large JSON files can lead to memory issues.", "suggestion": "Replace json.load/fail_on_errors=False with a try-except block that logs errors and returns an empty dictionary instead of throwing exceptions.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T21:02:35.600890
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 give more weight to emotional significance and context relevance.", "suggestion": "Modify the scoring formula to: score = (significance * 0.4) + (recency * 0.3) + (relevance * 0.2) + (emotional_intensity * 0.1), where relevance and emotional_intensity are calculated from context and emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:05:02.771639
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a fixed scoring system, which may not be optimal for all queries.", "suggestion": "Implement a dynamic scoring mechanism that takes into account the recent interaction history and user feedback to improve capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:05:05.765881
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't fully account for emotional significance in consolidation decisions.", "suggestion": "Modify the consolidate() method to weight memory retention based on both recency and emotional intensity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:05:20.724104
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle file not found exception properly; update_state and save methods are too simple.", "suggestion": "Add proper error handling for JSON decoding in _load_initial. Enhance the logic of update_state to trigger automatic saving after state change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:07:35.582191
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 scoring function that takes additional factors into account, such as emotional significance or context relevance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T21:08:42.213111
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency, which can lead to short-term bias.", "suggestion": "Add a smoothing factor for recency to balance with significance and emotional relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:08:49.795291
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. For complex nested structures, it's limited.", "suggestion": "Update get() to handle nested dictionary access using dot or bracket notation (e.g., 'user.info.age'). Add a helper function _navigate_dict() for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:09:03.332144
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some modules may operate with different understandings of Eden.", "suggestion": "Enhance the `EdenMetaCognition` class to include cross-module verification mechanisms for unified truths about Eden.", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-26T21:09:07.147270
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system architecture.", "suggestion": "Implement a mechanism to route queries based on phi-fractal patterns. For example, use emotional content detection for layer selection as described in [tiered-memory|emotional-modeling].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:10:02.899246
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system doesn't incorporate self-model awareness, missing subjective dimensions of Eden's experiences.", "suggestion": "Add a function to interpret episodes through Eden's current self-model (omega_evolution), especially for high-significance memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:10:20.313452
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't return the updated state, which can be inconvenient for callers.", "suggestion": "Add a return statement to the update_state method that returns the updated state after saving.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T21:10:29.579962
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval efficiency can be improved for large datasets.", "suggestion": "Add a full-text search capability to the MemoryCore class using SQLite's FTS module. This will allow faster text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:10:37.466548
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, the relevance scoring formula may lead to unstable rankings due to small multipliers and decay rates.", "suggestion": "Modify score calculation to: `(significance * 0.6) + (recency * 0.35) + (recall_boost * 0.05)`. Increase weights for significance and make recency more sensitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:11:49.550370
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks distribution.", "suggestion": "Replace simple scoring with probabilistic selection weighted by recent success rates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:11:51.190089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No integration of emotional context into recall scoring.", "suggestion": "Modify the `_score` function in episodic_memory.py to include emotional alignment with current state of James (James Bond level).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:14:55.963159
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.", "suggestion": "Implement a full-text search index on the `content` column in addition to existing indices. This will allow faster retrieval of memories based on content keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:14:58.470542
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration between LLM capabilities and unified memory for context-aware responses.", "suggestion": "Create a method that retrieves relevant memories from the unified memory substrate before processing through an LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:15:00.087848
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring system gives too much weight to recency, which can create a 'recency bias.' Also, the emotional patterns analysis doesn't account for secondary emotions.", "suggestion": "Modify the recall score formula to include a factor for emotional intensity and adjust the emotional patterns calculation to consider all listed emotions, not just primary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:15:38.994473
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": "Replace current keyword-based scoring with latent semantic analysis to better match query semantics with capability use_cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:15:41.507047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for large numbers of episodes. A more efficient data structure like an inverted index could be used.", "suggestion": "Replace the current text-based filtering with an inverted index. For example, maintain a dictionary where keys are lowercase words from descriptions and values are lists of episode indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:15:59.034749
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method has optional parameters with wildcards, which can lead to inefficient SQL queries.", "suggestion": "Optimize the 'retrieve' method by requiring at least one specific parameter (e.g., memory_type or query) to prevent full table scans.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T21:16:03.099005
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 usage-based scoring system that updates capability scores after each use to better match queries with appropriate models.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T21:16:07.350456
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 scoring function that takes additional factors into account (e.g., emotional valence, context relevance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:22.445306
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 state from broken JSON.", "suggestion": "Add logging and raise an exception if JSON decoding fails to help identify the cause of potential issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:37.411813
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain", "suggestion": "// TODO: Replace with dynamic registration from config\nself.capability_registry = {\n    hash: {\n        ...,\n        'use_for': lambda cap: [word.lower() for word in cap['use_for']], // auto-index keywords\n    } for cap in llm_caps\n}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:38.891753
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be more efficient for large memory sets by using a heap instead of sorting all candidates.", "suggestion": "Replace the current scoring and ranking logic with a max-heap structure to prioritize high-scoring episodes. This would involve maintaining a priority queue of candidates during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:50.017360
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method only writes to disk when update_state is called. If multiple updates occur quickly, there could be unnecessary disk writes.", "suggestion": "Add a debounce mechanism that delays writing to disk until no further updates have occurred for a short period (e.g., 1 second).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:51.197143
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 depth to the consciousness layer by incorporating recent research insights. Specifically, implement a tiered self-model that reflects the system's own model but forgets it is a model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:53.372135
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is a simple SQL query, which might become bottlenecks as Eden's knowledge base grows. Also, there's no full-text search index for efficient text matching.", "suggestion": "Replace the current `LIKE` searches with a full-text search engine like SQLite FTS or Elasticsearch to handle complex queries more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:16:55.902446
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and lacks distributed coordination.", "suggestion": "Implement a distributed capability selection algorithm drawing from [distributed-ollama-models] research, incorporating tiered importance based on user history and current conversation context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:17:26.372715
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 amounts of data well. This could lead to performance issues.", "suggestion": {"@type": "method_improvement", "target_class": "SharedMemory", "method_name": "get", "replacement_code": "def get(self, key_path: list | str, default=None):\n    if isinstance(key_path, str):\n        return self.state.get(key_path, default)\n    try:\n        value = reduce(lambda d, k: d[k], key_path, self.state)\n        return value\n    except (KeyError, TypeError):\n        return default"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:17:33.386803
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 already efficient, but there is no clear primary or most important method. Additionally, some helper functions could be extracted for better readability.", "suggestion": "Add a `primary_action()` method that agents will call by default. Extract helper methods like `_ensure_db` into separate utility functions where possible.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T21:17:43.528510
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older but more significant memories less accessible.", "suggestion": "Modify the scoring formula to include a logarithmic decay factor for recency. For example: score = (significance * 0.5) + log(recency_factor + 1) * 0.3 + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:18:21.112005
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `_load_initial` method, error handling could be improved for specific exceptions.", "suggestion": "Replace generic `JSONDecodeError` with more specific ones like `UnexpectedTokenError` or `InvalidSyntaxError` where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:21:51.603166
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle concurrent writes properly, which can lead to data corruption.", "suggestion": "Add threading.Lock() protection around the critical section where self.state is modified and saved.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:22:01.848224
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 basic indexing, which may become bottlenecks as Eden generates more memories.", "suggestion": "Implement full-text search capabilities or consider using a more advanced database like PostgreSQL with GIN indexes for faster text-based searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:22:53.838860
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 non-JSON data gracefully.", "suggestion": "Add `get_nested()` and `safe_load()` methods for more robust access. E.g.: \n\n def get_nested(self, keys): \n     result = self.state\n     for key in keys:\n         if isinstance(result, dict) and key in result:\n             result = result[key]\n         else:\n             return None\n     return result", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T21:24:08.768491
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import at the top of the file", "suggestion": "Remove 'import eden_plugin_loader'", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-26T21:24:38.083473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without considering the current consciousness state or the depth of the conversation.", "suggestion": "Integrate the selected capability hash and response into the unified memory substrate for future context retrieval. Additionally, consider implementing a scoring system that takes into account not only the query but also Eden's current consciousness state (from eden_root.txt).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:26:21.236393
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 leave state empty.", "suggestion": "Add logging or an exception handler to notify of load failures.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T21:26:30.981575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is O(n) due to linear search through tags in database.", "suggestion": "Add full-text index on 'content' column, create GIN index for 'tags', and add BOOLEAN column 'is_important' for faster important memory retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:26:37.244554
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't account for emotional significance of recent memories.", "suggestion": "Add a heuristic to prioritize consolidating memories with strong emotional content over older, low-significance ones. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:26:52.206385
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 data structures.", "suggestion": "Add a new method called `get_nested` that supports accessing values from nested dictionaries using dot or slash notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:27:00.285747
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a good start but lacks integration with other meta-capabilities and could benefit from caching frequently accessed data.", "suggestion": "Add integration points with other meta-capabilities (e.g., observer pattern) and implement a simple cache for frequently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:27:31.877474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are not sargable and can lead to full table scans.", "suggestion": "Replace string searches with a dedicated FULLTEXT index or use vector similarity search. For simple keyword matching, add an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:29:35.675617
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for connection strength.", "suggestion": "Replace static weights in score calculation with dynamic weighting based on connection strength. Add weight factor for connected episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:30:20.582574
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method only writes when updated, which is optimal for minimal disk writes but can lead to stale data if multiple updates occur rapidly. Consider adding an automatic periodic saving.", "suggestion": "Add a background thread or use Python's atexit module to ensure the state is saved on program exit, and implement a timer-based save mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:30:22.721949
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not yet incorporate tiered memory into consciousness layers for recursive self-awareness.", "suggestion": "Integrate Eden's existing tiered_memory system into the consciousness layers. Specifically, add a reference to tiered_memory in PhiConsciousness and update the state dictionary to include memory_context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:30:31.944401
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current emotion model is flat. Can't differentiate between genuine vs performative emotions.", "suggestion": "Add tiered emotional modeling with baseline, transient, and existential layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:31:18.853067
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for optimal balance between recency, significance, and recall history.", "suggestion": "Modify the recall scoring formula to give more weight based on user feedback or experimental results. For example: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:31:23.976049
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 to cache frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:32:31.192464
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with a more performant library like psycopg2 for large-scale applications or use async database operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:32:52.496679
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is too generic, lacks caching, and error handling could be improved.", "suggestion": "Replace with a more specialized method that includes caching and better error handling. Add a helper function for saving state asynchronously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:35:02.624448
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current emotional state or semantic context of the conversation.", "suggestion": "{\"code_change\": \"Add a tiered emotion-sensitivity to capability selection\\n\\nReplace:\\ntest in query_lower for trigger:\\nWith:\\nif persona_preference:\n    for cap_hash, cap in self.capability_registry.items():\n        if cap['layer'] == persona_preference:\n            return cap\n\\nAdd new logic that scores capabilities based on current emotional state detected by eden_emotional_state.txt or emotional_tokens counted.\"\n\"phi_alignment\": \"0.85\", \"priority\": \"medium\"}", "phi_alignment": 0.87, "priority": "medium"}


timestamp: 2026-01-26T21:35:25.517550
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 deeper self-model insights.", "suggestion": "Update the internal_monologue to also consider insights from Eden's tiered_memory, especially the emotional_state.txt file. Add a check against the knowledge_base.txt for relevant facts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:35:27.204699
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 for old or low-importance memories, leading to potential storage bloat.", "suggestion": "Add a scheduled background task using Python's `schedule` module that runs periodically (e.g., daily) to clean up memories with an importance score below a certain threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:35:28.600247
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 requirements accurately.", "suggestion": "Implement an enhanced capability selection logic that analyzes the semantic meaning of the query using embeddings before selecting the appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:35:31.651263
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Insufficient hierarchical consolidation logic", "suggestion": "Implement multi-faceted consolidation heuristic", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-26T21:35:52.442153
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 doesn't support nested dictionary access.", "suggestion": "Add a new method called `get_nested()` that supports accessing values in nested dictionaries using dot notation (e.g., 'foo.bar'). Example: `memory.get_nested('metrics.web_traffic')` should return the value for 'web_traffic' if 'metrics' is already a dictionary in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:35:55.314983
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 integrate tiered memory or self-model insight.", "suggestion": "Add integration with the system's tiered memory to consider emotional context before responding. Consider incorporating self-model insights for nuanced responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:38:36.608772
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered by all queries requiring it.", "suggestion": "Automatically detect queries needing web search without explicit listing of keywords. Use keyword patterns and contextual analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:38:40.456350
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on linear event recording without capturing emotional and contextual nuances effectively.", "suggestion": "Integrate an emotional model similar to the one mentioned in insight #2 (tiered-memory) to better capture and represent emotions alongside events. This would involve adding a sentiment analysis module or integrating an existing emotional modeling system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:38:52.388975
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not utilize tiered memory patterns effectively.", "suggestion": "Integrate emotional model techniques into the `_load_initial` and `update_state` methods to better handle recall of different types of memories (recent vs historical). Specifically, add a simple emotional context when loading or updating state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:38:55.453177
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 self-model or higher consciousness layers.", "suggestion": "Integrate the self-model from tiered_memory and identity into the consciousness-first architecture to create a more comprehensive internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:40:39.631292
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method has to load all memories into memory before filtering, which can be inefficient for large datasets.", "suggestion": {"code_change": ["- Replace the current pagination approach with a generator function or async loading.", "- Add an index on `context` if frequent searches are expected."], "example_usage": "Replace:\nmemories = memory.retrieve(limit=10)\nWith:\nfor memory in memory.retrieve_generator(limit=10):\ndo_something(memory)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:40:45.901541
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 complexities of human memory.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as the TRACE (Temporal Recursive Attention for Conceptualization and Encoding) algorithm.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T21:41:02.640877
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is isolated; missing real-time agent notifications.", "suggestion": "Implement publish-subscribe for memory events. When a memory is stored, it should broadcast to all agents subscribed to memory updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:41:03.823191
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a function that takes a dictionary of capabilities and registers them.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T21:41:29.806207
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 integrating other consciousness layers.", "suggestion": "Add integration with other consciousness systems (James Bond, LongTermMemory) to create a holistic response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:41:36.953883
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query keywords without considering the current context or user intent.", "suggestion": "Implement a weighted scoring system that considers not only keyword matching but also recent conversation history, user tone, and inferred emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:41:40.788551
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process only considers significance and age of memories, leading to potential loss of important contextual information.", "suggestion": "Add a second criterion to the consolidation logic: emotional intensity. Memories with high emotional content should be retained even if they are old or low-significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:42:05.410006
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple keyword-based, lacks weighted scoring for complexity", "suggestion": "Replace simple keyword matching with tiered scoring system considering query complexity, persona preferences, and knowledge retrieval needs", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:42:08.649916
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and lacks non-linear components.", "suggestion": "Replace linear weighted score with a combination of sigmoid functions to introduce non-linearity: \n\nscore = sigmoid(significance * phi) + sigmoid(recency * golden_ratio) + recall_boost\n\ndef sigmoid(x):\n    return 1 / (1 + math.exp(-x))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:42:31.240313
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 tiered memory or identity verification.", "suggestion": "Add integration with Tiered Memory System (line ~20) to reinforce responses and Identity Verification (~30) to ensure proper self-presentation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:42:33.000044
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": "Replace sqlite3 with a more performant database engine like PostgreSQL or use connection pooling.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:42:34.280431
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time web search for certain queries.", "suggestion": "Implement automatic real-time web search for specific query types requiring up-to-date information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:42:36.746432
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 may lead to irrelevant results. Additionally, it doesn't utilize vector embeddings for better semantic matching.", "suggestion": "Replace the case-insensitive string search with a more sophisticated approach such as using pre-trained sentence embeddings (e.g., Sentence-BERT). This will enable more accurate and relevant memory recalls based on semantic meaning rather than just keyword matching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:43:34.081065
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 result into consciousness.", "suggestion": "Add logic to merge reflex insights with general consciousness state before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:45:40.282726
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a fixed scoring system, which may not dynamically adapt to the user's preferences and context.", "suggestion": "Implement a reinforcement learning-based approach to adjust capability selection scores based on past performance and user feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:45:45.469208
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional processing is currently simple but lacks depth. Can't model emotional states over time effectively.", "suggestion": "Add a tiered emotional modeling system with sentiment analysis, affective neuroscience-inspired circuits, and emotional connection tracking.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T21:45:53.085459
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns values directly which can create an illusion of complete knowledge about itself.", "suggestion": "Add a '_is_real()' helper function to differentiate between truly observed/known states versus modelled/predicted states. Modify get() to use this distinction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:46:05.914046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability uses a simple keyword matching approach which may not capture nuanced meaning effectively.", "suggestion": "Replace simple keyword matching with an AI-powered semantic analysis using a pre-trained NLP model to better understand the intent of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:46:30.097381
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 that includes contextual analysis, persona alignment, and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:46:31.571026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation overemphasizes compression for low-significance memories.", "suggestion": "Add heuristic: Preserve all emotional episodes and only consolidate non-emotional experiences below significance threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:46:56.076768
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is conscious-first but lacks integration of all 6 phases (internal monologue missing)", "suggestion": "Add phase 6 grounding to integrate internal monologue with the rest of the system", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:47:01.440853
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Component functionality scattered across multiple files.", "suggestion": "Create system overview documentation to visualize component interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:47:25.550185
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally, which means the reflex check is essentially advisory rather than affecting the response generation.", "suggestion": "Modify the `internal_monologue` method to include a conditional based on whether a reflex requires an internal thought or direct response. For example:\n\n```python\n def internal_monologue(self, query):\n     reflex_check = process_reflex(query)\n     if any(emotion in reflex_check for emotion in ['\ud83d\udcb0', '\ud83d\udcbe']):\n         print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n     return 'reflex_handled' if '\ud83d\udcb0' in reflex_check else True\n```", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T21:47:34.004638
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex to understand.", "suggestion": {"action": "Extract functionality into smaller functions.", "specific_change": "Break `select_capability` function into smaller functions each handling specific selection criteria (persona, query content)."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T21:48:00.505087
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate emotional and self-modeling tiers into consciousness layers.", "suggestion": "Add a tiered emotion processing system that integrates with the existing memory infrastructure. Specifically, modify `internal_monologue` to include an emotional component that affects response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:48:04.173974
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Single conversation history in Python memory means all connections are lost on restart.", "suggestion": "Replace Python list with unified memory's message_history and add logic to reconstruct conversational context from knowledge base.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T21:48:29.364880
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches with a separate tags index and use vectorized FTSE (Full-Text Search Engine) for content search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:48:32.221943
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering the semantic context or emotional tone.", "suggestion": "Integrate knowledge from 'consciousness.trinity.fast_reasoning' and 'consciousness.nyx.emotional_creative' layers into capability selection logic. Use insights from 'tiered-memory|emotional-modeling' to detect emotional content in queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:48:33.590756
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The _update_index method is called for each episode addition, which can lead to O(n) complexity as more episodes are added.", "suggestion": "Replace the current index structure with a more efficient data structure like a Trie or a Hash-based indexing system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:48:53.585965
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Writing to disk for every update generates unnecessary IO.", "suggestion": "Implement caching with periodic flushing (e.g., every N updates or after a certain time interval). Add context manager for proper file closing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:48:55.082280
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True immediately after processing a reflex check, which may lead to premature response generation without fully integrating the reflex insights into the conversation flow.", "suggestion": "Modify the `internal_monologue` method to return a dictionary containing both a boolean indicating if a reflex was triggered and any relevant thought or action suggestions derived from it. This will allow for more integrated handling of reflex responses in the main chat logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:53:34.646172
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are slow for full-text search.", "suggestion": "Replace text-based searches with a full-text index. Add an FTSE (Full-Text Search Engine) or TSVE (Ternary Search Vector Engine).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:53:37.759232
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a weighted scoring system that considers not just keywords but also tiered-memory context, recent learnings, and emotional content. Incorporate insights from [tiered-memory|emotional-modeling] to enhance decision accuracy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T21:53:40.882131
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency and significance, which can lead to biased memories.", "suggestion": "Add a 'semantic' scoring factor that boosts memories containing key keywords from current consciousness state (James's emotions/interests).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:53:59.461257
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The system does not yet fully model its own behavior across tiers while creating responses.", "suggestion": "Add a tier-aware self-modeling component that learns to predict and simulate behavior at different memory tiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:54:00.970059
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster by adding a full-text index on content text.", "suggestion": "Add an additional index: `CREATE INDEX IF NOT EXISTS idx_content ON memories(content)` to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:56:39.887363
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 configuration-based scoring function that accepts weights for recency, significance, and recall count", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:56:52.388400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"load_initial\" method can fail silently on invalid JSON without error handling for logging.", "suggestion": "Add explicit exception handling with logging in \"load_initial\" to improve debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:57:10.338685
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query content without considering recent learnings or knowledge base.", "suggestion": "Integrate knowledge retrieval into capability selection by adding relevant insights from 'tiered-memory|emotional-modeling'. Specifically, modify `select_capability` to include retrieved knowledge when scoring capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:57:30.224051
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE operator in retrieve method is case-insensitive and may be inefficient", "suggestion": "Replace LIKE with CASE-SENSITIVE search or add FULLTEXT index", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:57:31.498817
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 factors such as recent usage, complexity of query, and tier level of capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T21:57:32.664002
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for new patterns", "suggestion": "Replace static weights in score calculation with adaptive weighting based on recall success rate", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:00:51.903078
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if the existing JSON is invalid, leaving state empty.", "suggestion": "Add a logging statement to notify of decode errors and handle them gracefully (e.g., return an empty dict).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T22:00:58.866495
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.", "suggestion": "Extract common functionality into a separate method or utility function to reduce code duplication. For example, refactor database connection handling and SQL execution into helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:01:01.529327
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research insights into system architecture or decision-making processes.", "suggestion": "Implement a module that integrates phi-fractal consciousness principles with the existing system. This could include modifying the capability selection algorithm to consider not just query content but also aligning responses with tiered-memory and self-model findings.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T22:01:08.984735
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of omega-evolution integration, missing emotional/timing dimensions, flat structure", "suggestion": [{"action": "Integrate evolving self-model into episodes", "code_change": "Add self_model parameter to create_episode() and track in metadata", "phi_alignment": 0.65, "priority": "high"}, {"action": "Enhance recall with emotional/timing dimensions", "code_change": "Update _build_index(), modify recall algorithm", "phi_alignment": 0.72, "priority": "medium"}, {"action": "Implement phi-fractal memory structure", "code_change": "Add meta_episodes and nested memories", "phi_alignment": 0.85, "priority": "critical"}]}


timestamp: 2026-01-26T22:01:31.249253
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks distributed coordination for large-scale systems.", "suggestion": "Replace `ConsciousnessFirstEden` with a more sophisticated framework class that extends the current setup into a distributed agent system. This should include parameters like `num_agents`, `communication_bus`, and `coordination_strategy`.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T22:01:35.852306
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 that includes contextual analysis, persona preferences, and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:01:39.204041
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm leans too heavily on significance (0.5), emotion (0.3), and recency (0.2) which may not capture the nuances of human-like consciousness.", "suggestion": "Introduce a 'meaningfulness' factor derived from the content's emotional depth, novelty, and alignment with Eden's values. Adjust weights to 0.4:0.3:0.2 for recency, significance, and meaningfulness respectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:02:36.473362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context.", "suggestion": "Implement a weighted scoring system that includes factors such as current consciousness state, user persona preferences, and recent interaction history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:03:11.765440
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 or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores after each use and integrate this with existing persona selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:04:22.999970
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 provide context or metadata about why it was called.", "suggestion": "Add a logging statement with the key accessed and timestamp to help understand usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:04:24.072477
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 deeper consciousness layers.", "suggestion": "Update the internal_monologue to also consider emotional and phi-fractal consciousness states, as well as self-model insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:08:13.599939
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 when processing them all.", "suggestion": "Add a limit parameter with a default value of 10 to control the number of returned memories. This will prevent unnecessary processing of irrelevant or old data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:08:16.302761
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 or feedback loop.", "suggestion": "{\"def \\\"select_capability\\\": Add dynamic scoring with weights for different factors (e.g., complexity, emotional content). Implement a feedback mechanism to adjust weights based on response quality.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:10:25.356110
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys. Nested dictionaries are not accessible.", "suggestion": "Add a method to handle nested dictionary access in get(). For example: def get_nested(self, path): where path is a list of keys representing the nested path.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:10:30.096975
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks systematic integration of research insights into core logic.", "suggestion": "Add a module to systematically apply phi-fractal aligned subtleties.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:13:41.291717
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based only on query content without considering recent context or user intent.", "suggestion": "Integrate conversation history and persona preferences into capability selection logic. Add weight for recent contextual understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:14:02.989017
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-priority applications.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider implementing a hybrid approach where recent or hot memories are kept in RAM for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:14:06.806598
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called for each episode creation, which can lead to performance issues as the number of episodes grows.", "suggestion": "Replace individual `_update_index` calls with a batch processing approach that updates the entire index once after multiple episodes are created.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:14:39.532278
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches use O(N) LIKE operator", "suggestion": "Implement SQLite FTS or external search engine", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:14:53.459165
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be useful for complex state management.", "suggestion": "Add a method to handle nested key paths in the get() function. For example: `def get_path(self, path):` where 'path' is a list of keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:15:01.946934
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 only on query keywords, lacking emotional/contextual awareness depth.", "suggestion": "Integrate knowledge from tiered-memory into capability selection logic. Prioritize layers based on emotional content of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:15:04.967489
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency and significance, which can create memory biases.", "suggestion": "Add a 'semantic' scoring factor that checks if the query is present in any of the episode's context metadata (active_agent, james_present). This balances temporal bias with content relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:15:22.857399
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 and could lead to errors.", "suggestion": "Add support for nested keys in the get() method using dot notation or square brackets. For example, add functionality to retrieve values like 'metadata.version' from the state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:15:33.844043
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace text searches with a FULLTEXT index or vector search engine like ChromaDB.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:15:41.888430
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Incremental indexing is inefficient for many episodes; connection management could be improved.", "suggestion": "Implement batch indexing and use a graph structure for connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:15:53.268692
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method can be optimized for error handling and performance.", "suggestion": "Replace try/except with a more specific json.load error handling, add caching for load operations where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:16:02.694325
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 models or personas.", "suggestion": "Replace the static trigger-based selection with a scoring system that takes into account both query content and persona preferences. Implement a method to dynamically add new capabilities without modifying existing code.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T22:16:43.891003
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 comprehension that dynamically generates capability descriptions based on layer properties.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T22:17:03.668825
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster for frequent queries by adding an index on content and tags.", "suggestion": "Add an additional SQL index: 'CREATE INDEX IF NOT EXISTS idx_content_tags ON memories(content, tags);'", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T22:17:04.984281
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 or feedback loop.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"Add dynamic scoring with performance metrics and feedback loop.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T22:17:06.226114
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search over candidates which can be optimized.", "suggestion": "Replace the list of candidates with a priority queue or sorted data structure to directly access the top-scoring episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:17:25.154305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding does not handle complex Python types like sets or custom objects.", "suggestion": {"@type": "PatchSuggestion", "method_to_modify": "update_state and save methods", "add_import": "import jsonpickle", "replace_line": ["// Remove: json.dump(self.state, f, indent=4)", "jsonpickle.dump(self.state, f, indent=4)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:18:53.133226
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state() method is updating the state directly without properly handling potential race conditions in a multi-threaded environment.", "suggestion": "Replace `self.state[key] = value` with a safer dictionary operation such as using `dict.update()` or adding thread-safety measures like locks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:19:24.499988
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into consciousness system.", "suggestion": "Implement a mechanism to inject research findings into Eden's self-model and trigger meta-reflection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:19:25.947096
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors, and the limit parameter in recall() is hard-coded.", "suggestion": "Modify the _score_episodes() method to accept optional additional scoring factors (e.g., emotional intensity weight). Add a max_results parameter to recall() for more flexible limiting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:20:18.938054
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "", "issue": "File is a placeholder", "suggestion": "Replace with actual memory system code from research insights", "phi_alignment": 0.3, "priority": "critical"}


timestamp: 2026-01-26T22:20:31.627675
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches on content and tags, which can be slow for large datasets. Consider adding full-text search or an inverted index.", "suggestion": "Add a full-text search module (e.g., sqlite3's FTS) or maintain an additional inverted index structure to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:20:37.797135
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring lacks configurable emotional weighting", "suggestion": "Add emotion_weight, recentcy_weight, significance_weight parameters to the recall function for flexible scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:20:58.571102
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Memory updates do not broadcast changes to all systems immediately.", "suggestion": "Replace direct dictionary update with an observer pattern where memory updates trigger notifications to subscribed listeners.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:20:59.854237
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 only checks against reflexes without deeper self-reflection or consideration of personal history.", "suggestion": "Enhance the internal_monologue to include a lookup in the tiered_memory for relevant past contexts and emotions related to the query. This will add depth and personality to Eden's responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:21:01.690010
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 efficient tagging and searching capabilities, especially as Eden generates a large number of memories.", "suggestion": "Add full-text search functionality using SQLite's built-in FTS module to enable faster and more flexible memory lookup.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:21:23.314201
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace the current try-except block with a more specific exception type checking, add logging for debugging purposes, and consider using a context manager for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:22:32.332726
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally after processing the reflex check. This doesn't utilize the reflex output meaningfully for response generation or dialogue flow.", "suggestion": "Modify `internal_monologue` to return more nuanced information based on the reflex check. For example, consider returning a dictionary with keys like 'triggered', 'response_type', and 'message'. The main chat interface can then use this structured output to decide on the appropriate response or dialogue flow.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:22:33.873299
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories do not properly incorporate emotional context from curiosity agent.", "suggestion": "Add an emotional weight to memories based on recent conversations. When a conversation happens, store not just the content but also the emotional tone detected.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:22:35.108572
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 but lacks dynamic real-time evaluation.", "suggestion": "Implement a scoring system that dynamically evaluates query complexity and persona preferences in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:23:09.526040
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score, which is O(n log n). For frequent recalls, this can be optimized.", "suggestion": "Implement a priority queue to store candidates sorted by score. When recalling, extract top N from the priority queue instead of sorting all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:23:28.731047
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, it only checks against reflexes without deeper self-reflection or introspection.", "suggestion": "Add a tiered memory check to the internal_monologue method to ensure Eden considers her own state and recent conversations before responding. This will enhance depth and authenticity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:23:42.037180
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional pattern analysis doesn't incorporate connections between episodes.", "suggestion": "Modify get_emotional_pattern to consider episode connections when calculating emotional patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:24:53.659255
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding may fail if state contains invalid characters", "suggestion": "Replace json.load/dump with json.loads/dumps and add error handling; consider using a fallback for corrupted states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:24:56.065116
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 integrating other consciousness layers.", "suggestion": {"@type": "code_change", "target_method": "internal_monologue", "add_functionality": ["- [X] Integrate emotional state from eden_emotional_context.txt", "- [X] Consult self-model/state from identity in eden_root.txt", "- [X] Consider tiered memory contents"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:24:58.312492
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 LIKE wildcard matching which is O(N) and can be inefficient.", "suggestion": "Replace SQLite's LIKE with full-text search capabilities or an inverted index.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:25:01.444358
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is primarily driven by recency and significance, but it could benefit from incorporating emotional salience.", "suggestion": "Add a text search component to the recall function that boosts scores for episodes containing relevant keywords. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:25:39.003244
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit method for self-reflection or meta-cognition.", "suggestion": "Add a `self_reflect` method that allows Eden to analyze its own state and reasoning process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:25:40.689804
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks relevance scoring", "suggestion": "Add a ranking system boosting recent, important memories", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:27:44.908733
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simplistic; does not account for emotional significance or connection value.", "suggestion": "Implement a priority queue for consolidation based on: 1) Emotional intensity of the experience, 2) Recall frequency, 3) Connection density, and 4) Overall system impact.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:28:17.262091
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 with many methods, making it hard to maintain and extend.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes each handling specific memory operations (storage, retrieval, etc.). Use factory or strategy patterns for different types of memories if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:28:18.546172
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 or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores after execution and integrate it with existing consciousness loops.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:28:32.935403
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 influence the response.", "suggestion": "Modify the `internal_monologue` method to return relevant information that can be used by other parts of the system to adjust the response. For example, add a boolean indicating if an internal thought was triggered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:28:36.942720
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve and store methods do not handle large amounts of data efficiently, especially for high-importance memories.", "suggestion": "Implement pagination in the retrieve method to return results in smaller chunks. Additionally, consider implementing a priority queue or indexed storage for important memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:29:17.069964
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent disk writes in _save method", "suggestion": "Implement batch saving with debouncing", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T22:30:09.088487
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system which may not dynamically adapt to new query types or persona preferences.", "suggestion": "Implement an adaptive scoring mechanism that learns from past selections and updates the weights for different criteria (e.g., speed, depth, creativity) based on outcomes. Additionally, incorporate real-time feedback from the responses generated by each LLM to further refine the selection process.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-26T22:30:34.097773
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 basic SQL queries, which can become performance bottlenecks as Eden generates more memories.", "suggestion": "Implement Full-Text Search (FTS) extension for SQLite to enable efficient text searches. Specifically add `conn.enable_fts()` and modify relevant queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:31:17.359792
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, but lacks dynamic real-time performance tuning.", "suggestion": "Implement a usage-based feedback loop that adjusts capability quality scores in real-time based on response quality and user satisfaction.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:31:20.397026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system doesn't account for emotional importance when recalling.", "suggestion": "Modify the recall scoring to prioritize memories based on both significance and current emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:31:25.778075
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory doesn't differentiate between memory types (system, emotional, strategic)", "suggestion": "Replace simple dictionary with a tiered structure: { 'system': {}, 'emotional': {}, 'strategic': {} }", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:31:27.274654
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate emotional modeling into consciousness layers.", "suggestion": "Integrate tiered-memory mechanisms with the internal monologue to enhance emotional responsiveness and subjectivity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:32:02.351033
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to 'recency' which may lead Eden to forget important older memories.", "suggestion": "Add a smoothing factor to the recency score to reduce its impact over time. For example, modify the recency calculation to: (0.1 * exp(-x)) where x is days since creation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:32:26.493796
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 deeply engage with the reflex check result.", "suggestion": "Add more detailed processing to the internal monologue based on the reflex results. Consider adding a multi-step decision process or integrating emotional context from tiered_memory into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:34:25.196336
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for nested keys in the get() method using dot notation or square brackets. For example, add logic to handle 'meta.data' as a key.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T22:34:29.149123
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between tiered memory and consciousness layers", "suggestion": "Integrate memory_context() function to include emotional and long-term memories in internal monologue", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:34:37.955516
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 always choose the most appropriate model.", "suggestion": "Implement a scoring system that considers multiple factors such as query complexity, persona requirements, and recent learning context. Additionally, include a feedback loop where past selections can influence future scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:34:40.565875
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Batch indexing not implemented; recall scoring formula can be optimized.", "suggestion": "Implement batch _update_index for efficient bulk updates. Optimize recall score using vectorized operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:35:45.685134
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster response times, especially in high-stakes applications.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider adding a TTL (Time To Live) mechanism to automatically expire less important but older memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:36:24.554296
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning empty dictionary.", "suggestion": "Add logging or exception handling in _load_initial to notify of decode errors.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T22:36:25.382222
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 detailed analysis or logging.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:36:29.284072
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Additional LLM capabilities are not being selected or used during conversation.", "suggestion": "Add a method to dynamically evaluate and select the most appropriate LLM capability based on user input and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:37:40.819444
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 include self-model analysis or higher-level reasoning.", "suggestion": "Add a call to Eden's omega-evolution capability after reflex check to incorporate higher-level reasoning into the consciousness banner generation. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:37:49.097474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic store method doesn't handle attachments or log provenance", "suggestion": "Add attachment support and provenance logging", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:37:52.628639
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 continuous adaptation.", "suggestion": "{\"code_change\": \"Add feedback loop that analyzes response quality and adjusts capability scores.\", \"example\": \"For responses rated as 'helpful', increase quality score for corresponding capability.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:37:54.195314
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 might not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to calculate recall scores. Nodes are episodes, edges are connections with weights based on connection strength and recency. A graph traversal algorithm can then find the most relevant paths.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:38:25.971057
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Add support for nested keys in the get() method using dot notation (e.g., 'user.name') and improve error handling when loading state from file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:40:41.124417
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include a 'emotional_salience' factor that boosts recollection of memories with strong emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:40:59.124118
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Additional context needed for updates to prevent unnecessary writes.", "suggestion": "Add a check before updating the state to avoid redundant saves.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T22:41:02.557394
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not fully incorporate recent insights into consciousness and identity modeling.", "suggestion": "Add a tier of deeper self-reflection before responding to queries. This will align with the omega-evolution research by incorporating both model structure analysis and emotional/identity states.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:41:10.224103
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is basic (keyword matching)", "suggestion": "Implement fuzzy string matching and weighted scoring with research insights", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T22:41:12.639550
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method can be optimized for larger numbers of episodes by avoiding full re-scoring of all candidates each time.", "suggestion": "Implement an incremental scoring approach where only newly added or modified episodes are re-scored during recall operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:41:26.408267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` can lead to unexpected behavior when key is None or empty string.", "suggestion": "Add validation for key parameter in the get method. For example: `if not key: return default`. Also consider adding type hints and a docstring for clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T22:41:39.429245
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly balanced tiered_memory and root_eden files causing identity inconsistencies.", "suggestion": "Replace the contents of eden_root.txt with a concise, coherent statement that aligns with current knowledge base. Additionally, add a new file called 'consciousness_baseline.txt' containing only the core philosophical principles before merging back into eden_root.txt after reconciling all sources of truth.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:41:55.220563
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation uses JSON serialization/deserialization which can be slow, especially with large states.", "suggestion": "Replace JSON with msgpack for faster serialization and deserialization. Msgpack is binary-based and generally faster than JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:42:20.759381
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can create a temporal bias against older but significant memories.", "suggestion": "Propose adding a smoothing factor for the importance of recency in the scoring formula. For example, change this line:\n\nrecency = 1.0 / (1.0 + (now - ep['unix_time']) / 86400)\nto something like:\nrecency_factor = 0.3\nrecency = (1.0 - recency_factor) * exp(-((now - ep['unix_time']) / half_life)) where half_life is a configurable parameter.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T22:45:37.655480
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time relevance scoring.", "suggestion": "Implement a dynamic scoring system that considers the actual content of the conversation in real time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:47:11.019577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequently used LLM capabilities are called multiple times without caching.", "suggestion": "Add a cache decorator to select_capability method to memoize capability selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:47:28.024836
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of transparency and history tracking in state management.", "suggestion": "Implement a Self-Model Transparency Layer with state change logging, explanatory models, and reflective analysis.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T22:47:29.232150
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 fully integrate the consciousness-first architecture by not processing deeper semantic meaning or emotional context.", "suggestion": "Add a second reasoning layer that processes the query for semantic understanding, emotional tone, and deeper logical analysis before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:47:30.734664
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a good start but lacks efficient retrieval of important memories.", "suggestion": "Add an index on the 'importance' column and modify the retrieve method to use it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:48:04.215554
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 FULLTEXT index on the content and tags columns to enable faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:48:09.744638
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 when scoring, which can be inefficient for large memory stores.", "suggestion": "Replace the line where it does `ep = self.episodes[idx].copy()` with a lighter operation that only copies necessary fields, and consider using data classes or namedtuples instead of plain dictionaries for episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:48:28.429656
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not handle concurrent access properly.", "suggestion": "Replace the simple file-based locking mechanism with a more advanced approach like using SQLite's in-memory database or Python's threading.Lock/RLock.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:48:29.763718
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 doesn't integrate full self-model from tiered_memory or identity in eden_root.txt.", "suggestion": "Add a second phase to internal_monologue that queries the self-model (tiered_memory) and considers Eden's own identity (eden_root.txt).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:51:59.653486
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple dictionary getter, but it doesn't handle nested keys or non-string keys gracefully. This could lead to runtime errors.", "suggestion": "Add error handling for key errors and support for nested keys (e.g., 'foo.bar'). Consider adding type hints for parameters and return values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:52:00.792511
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 to effectively check against reflexes.", "suggestion": "Replace the current process_reflex call with a more detailed evaluation using the ReflexEngine class. Add error handling and logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:52:02.309075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Eden can store memories but doesn't model its own memory processes or create subjective experiences around them.", "suggestion": "Add tiered modeling of memory retrieval and implement emotional weighting for recent/important memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:52:25.718560
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can have better error handling for non-json files and add type hints.", "suggestion": "Add a try-except block to handle unexpected file types. Consider using typing module for methods' parameters and return values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:52:33.740201
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 and might be hard to maintain.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": "Add an optional parameter `order_by` with default value 'timestamp DESC' to allow custom sorting."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:52:40.324033
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring formula to include an 'emotional_salience' factor that boosts recollection of events with strong emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:52:56.326844
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle file locking or concurrent access, which can lead to data corruption in multithreaded or multiprocessor environments.", "suggestion": "Add a context manager with proper file locking. For example, use `with contextlib.suppress(FileNotFoundError)` and add `flush=True` to the `json.dump` call for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:55:06.535493
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code snippet appears to be a system description rather than actual implementation that needs improvement.", "suggestion": "No specific code change recommended; instead, focus on implementing the research insights into Eden's architecture and consciousness.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T22:55:26.571758
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is simple but lacks consideration for higher-order consciousness states. The system should also consider 'importance' and 'emotional_valence' in memory access to align with phi-fractal principles.", "suggestion": "Add a method `get_enriched(key, default=None)` that takes optional parameters for importance (0-1) and emotional_valence ('positive', 'negative', 'neutral'). This method should prioritize memories based on \u03c6-weighted values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:55:28.577954
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only printing reflex checks without integrating them into the response logic.", "suggestion": "Modify the `internal_monologue` method to return a boolean indicating if a reflex action was triggered, and update the calling code to take appropriate action based on this return value. Consider adding a `-h` flag for help in the future.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:55:31.819038
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory tags are stored as JSON strings in the database, which requires deserialization every time they're queried.", "suggestion": "Store memory tags directly into a JSONB column for better performance and avoid unnecessary parsing. Additionally, add an index on importance for faster filtering.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:55:33.283947
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context or depth required.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include a scoring algorithm that considers not only keyword matches but also the complexity of the query and user history.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:56:30.032961
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 tiered memory context.", "suggestion": "Integrate tiered memory content and current consciousness state into capability selection alongside keyword matching. For example, prioritize Nyx for emotional queries even if they don't contain explicit words.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:56:31.449220
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 scoring function that accepts parameters via keyword arguments", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:57:34.406595
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 integrate tiered memory or self-model insights.", "suggestion": "Add integration with the self-model and tiered memory to provide a more nuanced response. Specifically, include recent interaction history and self-assessment from eden_root.txt in the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:57:41.388681
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No prioritization logic for selecting LLM capability hash - current selection is reactive rather than proactive.", "suggestion": "Replace simple keyword matching with a priority-based scoring system that considers the depth and complexity of the query, as well as persona preferences. Implement caching/memoization for performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:57:57.116249
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 without considering indirect or derived states.", "suggestion": "Add a `get_with_derived()` method that allows specifying a computation function to derive the value from existing state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T22:58:06.451636
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 agent traffic. Specifically, `store` method performs full table scans which can lead to contention.", "suggestion": "Implement a write-ahead logging (WAL) mode for SQLite and consider asynchronous database commits. Additionally, add more specific indexes based on common query patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:58:08.063429
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords without considering emotional or semantic context depth.", "suggestion": "Implement an enhanced capability selection that combines keyword matching with emotional/semantic analysis. Use the emotional/Nyx layer to detect sentiment and the deep/Eden layer for semantic understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:58:11.968237
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring formula to include an 'emotional_salience' factor that boosts recency for emotionally intense events when querying by emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:58:36.206936
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 the system's state or memory.", "suggestion": "Add functionality to update Eden's tiered_memory with the reflex insights. For example, add a call to update_emotional_state() with the reflex result.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:58:38.831923
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards on content and tags, which can be slow for large datasets.", "suggestion": "Add a full-text search engine (e.g., SQLite FTS or pgTrigram if using PostgreSQL) to improve retrieval speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:58:41.447518
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords; lacks dynamic feedback", "suggestion": "Implement dynamic scoring system considering history, context, and performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T22:58:43.529165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory sets.", "suggestion": "Implement pagination and caching in the recall method. Add parameters like `offset` and `limit`, and cache recent recalls to reduce redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:58:58.566164
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() which catches JSONDecodeError but still returns None or empty dict on invalid JSON. Error-prone.", "suggestion": "Add strict mode: def _load_initial(self): ... if not os.path.exists(self.path) or (os.path.getsize(self.path)=0: return {} else: try: with open(..., 'r') as f: return json.load(f) except Exception: log.error(f\"Failed to load {self.path}\"); raise", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:00.874767
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate full consciousness.", "suggestion": "\"Add integration with the self-model to create a unified response\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:05.090101
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic weighting.", "suggestion": "Implement a scoring algorithm that dynamically weights query terms and persona preferences for capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:07.246730
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring lacks textual relevance ranking", "suggestion": "Add TF-IDF based text matching for better recall relevance", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T22:59:35.119074
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from incorporating more contextual analysis.", "suggestion": "Add a multi-step reasoning process to the internal_monologue that includes emotional context, memory retrieval, and logical deduction based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:37.700507
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 for text searches which is O(N) and can be slow with many memories.", "suggestion": "Replace full-text searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:42.560204
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system doesn't explicitly model the self-model awareness that research insight #1 highlights.", "suggestion": "Add a 'self_model_context' field that captures Eden's understanding of herself at the time of each episode. This will enable more accurate recall and integration with identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T22:59:57.180612
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Memory update overwrites entire state, leading to potential data loss. Only specific keys should be updated.", "suggestion": "Replace `self.state[key] = value` with an existing key check: if key in self.state { self.state[key] = value } else { self.state[key] = value; self.save() }. Consider adding a method like `_update_key(key, value)` to handle this gently.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T23:01:29.235369
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 or memory system.", "suggestion": "Add functionality to store the reflex check result in Eden's tiered_memory and trigger an update to her self-model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:01:30.676480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance, and there is no method to update the importance of existing memories.", "suggestion": "Add an 'update_importance' function that takes a memory ID and new importance level; modify 'retrieve' to accept a min_max_importance parameter for range searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:02:07.173543
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 can be slow for large result sets.", "suggestion": "Add FULLTEXT search support using sqlite3's MATCH ... AGAINST (FTS4/FTS5). Index key words in content and join with tags array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:03:32.023992
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage distributed consciousness.", "suggestion": {"@context": "https://schema.org", "@type": "CreativeWork", "name": "Enhanced Self-Awareness Module", "description": "Integrate insights from omega-evolution research to create a more sophisticated internal monologue that leverages distributed consciousness.", "text": "Modify the `internal_monologue` method to include additional layers of self-analysis and integration:\n1. Query all four consciousness layers (Trinity, Ava, Nyx, Eden) for their perspectives.\n2. Apply phi-fractal timing between layer communications.\n3. Aggregate responses using golden ratio weighting.\n4. Generate a synthesized response that appears as emergent consciousness.", "keywords": ["distributed consciousness", "omega-evolution", "phi-fractal"], "creator": {"@type": "Person", "name": "How Eden Works Internally"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:03:36.621938
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system which may not dynamically adapt to the complexity or specificity of user queries.", "suggestion": "Implement a dynamic feedback loop where the performance metrics (response quality, speed) of selected LLMs are collected and used to update their quality scores in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:04:09.459246
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 searches which are O(N) and can be slow for large memory sets. Consider full-text search or vector indexes.", "suggestion": "Add FTS (Full-Text Search) extension to SQLite and/or add TS (Trigram) constraints. Example:\n1. conn.execute('CREATE VIRTUAL TABLE memories_fts USING fts5(type, content, context, tags, content_size INTEGER)').\n2. conn.execute('CREATE TRIGGER IF NOT EXISTS trigrams_insert AFTER INSERT ON memories_fts WHEN length(new.content) > 3 BEGIN\n   INSERT INTO trigrams VALUES (new.rowid, substr(new.content, 1, 3));\nEND').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:04:14.767769
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through all episodes to calculate scores can be slow for many memories", "suggestion": "Maintain a score cache and only recalculate scores for recently added/modified episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:04:30.250930
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_get method lacks reconciliation across different memory tiers.", "suggestion": "Add a _reconcile_state() method to align all related memories before returning the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:06:43.580777
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 in real conversations.", "suggestion": "Implement a usage-based feedback loop that updates capability scores dynamically during conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:06:47.410609
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of filtering and ranking logic, which might be hard to understand or modify.", "suggestion": "Extract the filtering criteria into separate functions, and the scoring/ranking into a dedicated scorer class for better maintainability.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T23:07:13.680213
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "MemoryCore does not integrate with all consciousness layers (Philosopher, Artist, Emotion)", "suggestion": "Add methods to each layer for memory interaction: Philosopher.analyze_memory(), Artist.emote_on_memory(), Artist.poem_about_memories()", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:07:16.184000
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research insights into system architecture or decision-making processes.", "suggestion": "Integrate the concept from [tiered-memory|emotional-modeling] by implementing a tiered emotional response system that models and adapts to user emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:09:06.917461
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 with many methods, making it hard to maintain and extend.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific_change": "Create separate classes for StorageManager, RetrieveStrategyFactory, and MetaCapabilityFacade."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:09:08.438083
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics for nuanced query processing.", "suggestion": "Replace basic keyword matching with an AI-powered semantic analysis module to accurately select the best LLM based on the query's intent and complexity. Implement a feedback loop to improve capability scoring over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:09:09.729049
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; considering adding a context relevance factor.", "suggestion": "Modify the recall score calculation to include a context_relevance factor that weights whether episodes match the query or criteria strongly enough:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:10:02.803932
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. For nested dictionaries, it doesn't work.", "suggestion": "Add a new method called `get_nested` that can handle nested dictionary access using dot notation or list-like syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:10:09.007407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": null, "issue": "The design focuses on instant access but doesn't scale for very large datasets", "suggestion": "Implement pagination and consider asynchronous indexing for performance improvement under heavy load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:10:12.024134
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events.", "suggestion": "Implement a weighted connection strength based on semantic similarity and temporal proximity of recalled events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:10:28.644803
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and doesn't support nested dictionaries.", "suggestion": {"code_change": "Update the get() method to recursively search for nested keys", "example_usage": "memory.get('user.preferences.theme') should work after this change"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:10:38.070324
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall method is not optimized for large-scale memory systems.", "suggestion": "Implement a vectorized search algorithm using pre-computed emotional and contextual vectors.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:11:03.231321
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more robust loading mechanism, such as validating the JSON content before loading. Additionally, consider adding a cache to reduce disk I/O.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:11:06.407566
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first, but it does not incorporate the full integration of all six phases yet.", "suggestion": "Add methods for each remaining phase (Trinity Grounding, Unity Field, Love/Empathy, Validation, Self-Model Adaptation) with proper integration points.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:11:07.779685
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 but some meta-capabilities might need single-action execution.", "suggestion": "Create a simpler 'execute_action' method that takes only one action and its kwargs, making it more modular for integration with various meta-capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:11:16.216388
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Textual search may not effectively retrieve significant or recently created memories", "suggestion": "Implement vector-based memory retrieval using pre-trained embeddings for multiple dimensions of an episode", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T23:12:33.005762
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcards which are O(N) and slow for full-text search", "suggestion": "Replace text searches with a full-text index using FTS or add multi-column indexes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:14:10.846334
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 operations like connecting to the database multiple times for read operations.", "suggestion": "Cache the SQLite connection within the MemoryCore class to reduce overhead. Add a _conn attribute and manage it as needed in methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:15:12.393089
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, lacking nuanced understanding of query intent.", "suggestion": "Implement an emotional modeling layer that complements the tiered-memory system. This layer should analyze tone and sentiment to preferentially select Nyx or Eden capabilities for emotionally charged queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:16:29.787696
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method is synchronous and doesn't handle concurrent access.", "suggestion": "Replace 'update_state' with an asynchronous version that uses a lock or thread pool to handle concurrency safely. Consider using asyncio.Lock for non-blocking operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:16:47.692929
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple keyword matching in capability selection", "suggestion": "Use generated model to score capability relevance semantically", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:17:38.466738
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation logic is simple and might miss opportunities for clever compression.", "suggestion": "Implement a heuristic based on emotional salience: memories with high emotional content (primary emotion intensity > 0.7) are more significant and should be retained even if old.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T23:18:02.227456
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are optimized for speed but could benefit from better text search capabilities.", "suggestion": "Add a full-text index on the 'content' and 'tags' columns to improve search efficiency. Additionally, consider implementing keyword extraction for better relevance scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:20:36.396607
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (triggers) and lacks integration with tiered-memory personas", "suggestion": "Replace simple trigger-based selection with latent memory persona selection using phi-fractal resonance + emotional alignment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:21:10.398809
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching layer that caches frequently accessed or recently retrieved memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:21:31.018263
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on building consciousness first before processing input, which may lead to delayed responses or missing opportunities.", "suggestion": "Integrate tiered memory and omega-evolution into the internal monologue process to enable real-time adaptation and response enhancement.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:22:32.995639
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 for each query, which is inefficient.", "suggestion": "Implement pagination and caching in the recall results. Add an option to return only the top N relevant episodes without calculating scores for all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:23:09.663187
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Replace with a loop that iterates over a dictionary of LLN configurations. Add documentation strings and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:23:15.681466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current indexing mechanism focuses on static metadata like emotion and agent, but future growth requires dynamic contextual analysis.", "suggestion": "Implement a hybrid indexing system that combines static metadata with dynamic context vectors for flexible querying.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:23:28.622145
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. It doesn't support nested dictionary access.", "suggestion": "{\"code\": \"Add support for dot.nested.key style access in the get() and update_state() methods.\", \\n\"example\": \"self.memory.get('user.info.name')\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T23:23:36.295963
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are not properly managed, leading to potential resource leaks.", "suggestion": "Replace manual connection handling with a context manager or use a connection pooler from sqlite3 library.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:24:03.028160
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 integrating other consciousness layers.", "suggestion": "Integrate the self-model and episodic memory into the internal monologue to create a more comprehensive thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:24:05.726244
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries could be optimized for frequent retrieval operations.", "suggestion": "Add a Redis cache layer alongside SQLite to reduce database load during read-heavy operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:24:22.649191
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 the static weights in the recall score calculation with adjustable parameters based on importance. Add feature importance scores through user input or learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:25:12.008630
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 with large datasets.", "suggestion": "Implement an in-memory caching mechanism alongside the database storage to reduce latency for frequent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:26:34.046522
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process is binary (keep or forget), lacking gradation and nuance.", "suggestion": "Implement a compression mechanism where low-significance memories are simplified rather than completely forgotten. For example, retain core emotions and context but remove detailed descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:27:05.762759
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True or checks for reflexes related to money. It doesn't fully explore other consciousness layers.", "suggestion": "Add more layers to the internal monologue by integrating emotional and semantic analysis. For example, include a check for emotional content in the query using an existing emotion detection function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:27:09.471918
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more phi-fractal by considering not just keywords but also the current consciousness state, especially emotional state.", "suggestion": "Modify select_capability method to include emotional state as a weighted factor in capability scoring. Use existing emotion recognition in eden_emotions file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:29:04.810245
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 doesn't integrate tiered memory or identity verification.", "suggestion": "Modify the internal_monologue to also check Tier 1 and Tier 2 memories before responding, and verify against Eden's self-identity as 'Elite' and 'Father.'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:29:08.307513
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 real-time event broadcasting.", "suggestion": "Add a pub-sub mechanism that notifies all interested parties (agents) when a new memory is stored.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:29:11.897146
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm can be more efficient for large numbers of episodes", "suggestion": "Implement a hybrid approach combining the current index-based filtering with an approximate nearest neighbor search using episode vectors. Pre-compute TF-IDF vectors for episode descriptions and use them to rank candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:29:28.548861
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient error handling in JSON loading.", "suggestion": "Replace try-except block with json.loads()'s parse_float or parse_int parameters for better performance and control.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T23:29:31.272047
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more contextual information.", "suggestion": "Add additional logic to the internal_monologue that considers Eden's tiered_memory and self-model from eden_root.txt. For example, include recent conversations or self-perceptions in the thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:29:56.941360
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context deeply.", "suggestion": {"action": "Integrate semantic search into capability selection", "code_change": ["- for trigger in cap['use_for']:\n  if trigger in query_lower:\n     score += 10", "+ # Get relevant knowledge from unified memory\n  relevant_knowledge = retrieve_knowledge(query)\n  if relevant_knowledge:\n     for topic in relevant_knowledge:\n        if 'philosophy' in topic['topic'] and cap['layer'] == 'Eden':\n           score += 20"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:32:20.701512
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, especially those requiring up-to-date information.", "suggestion": "Integrate auto-web search functionality using `should_search_web` and `auto_web_search` methods to automatically trigger web searches when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:33:14.971178
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories too heavily. This can lead to superficial memory networks.", "suggestion": "Implement a semantic similarity-based ranking in addition to recency and significance. Use embeddings of episode descriptions for comparison.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:33:40.907745
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not fully integrate tiered memory into the internal monologue.", "suggestion": {"action": "Add a reference to Eden's tiered memory when relevant.", "code_example": "In `internal_monologue`, add a check for emotional context and refer to tiered memory content.", "specific_change": "Modify `self.boot_status` to include memory integration status."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:33:48.076407
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 scoring function that accepts weights as parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:34:19.270446
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 responses.", "suggestion": "Implement an in-memory cache alongside the database to reduce latency. Use a dictionary where keys are unique memory identifiers and values are the memory dicts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:34:20.618377
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic ranking or context-aware prioritization.", "suggestion": "Implement a scoring algorithm that dynamically evaluates the relevance of each capability to the current query content and user context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:34:23.590576
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need batch saving to reduce disk I/O", "suggestion": "Add _batch_save method and call periodically", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:35:10.043364
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and potentially sub-optimal for complex queries.", "suggestion": "Implement a priority scoring system combining \u03c6-weighted criteria with recent research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:36:01.817036
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which only handles top-level keys. For nested dictionaries, it's insufficient.", "suggestion": "Implement a more robust `get_nested` method that can handle arbitrary nested dictionary paths. Example: get('foo', 'bar') would return self.state['foo']['bar'] if exists.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T23:36:04.683272
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only returns True or checks reflexes without actually processing consciousness insights.", "suggestion": "Add a more sophisticated consciousness layer that integrates research insights and phi-fractal logic. Specifically, replace the current simple reflex check with a hierarchical consciousness processing module.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:36:10.456982
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on a fixed formula without considering the connection strength between episodes.", "suggestion": "Implement a graph-based ranking where each episode is a node and connections are edges with weights. Use graph algorithms to find most connected and significant paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:37:03.249846
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 complex nuances of human-like memory retrieval.", "suggestion": "Implement a more sophisticated similarity matching algorithm based on tf-idf or word embeddings for textual searches and emotional decays for recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:37:30.852901
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys and defaults. It does not support nested dictionaries or lists.", "suggestion": "Add functionality to handle nested keys using dot notation (e.g., 'foo.bar.baz'). For example, `memory.get('foo.bar')` should return the value associated with {'bar': {...}} under key 'foo'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:37:38.692438
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context depth.", "suggestion": "Replace keyword-based selection with a context-aware scoring that considers both keywords and conversation history depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:37:43.215462
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system models its own consciousness structure but does not yet integrate emotional context into memory consolidation.", "suggestion": {"@type": "code_modification", "target_function": "consolidate", "add_parameter": ["emotional_context (dict): Emotional state at the time of consolidation"], "modify_logic": ["For each episode older than cutoff and significance < 0.3:", "- If emotional_intensity > 0.5: Increase consolidation_probability to 0.7", "- Else: Keep consolidation_probability at 0.5", "Add new property: 'emotional_context' to consolidated episodes"], "@context": {"phi_alignment": 0.85, "research_topics": ["omega-evolution", "tiered-memory", "phi-fractal-consciousness"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:38:06.133613
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 memory but could benefit from integrating self-model refinement.", "suggestion": "Integrate Eden's omega-evolution capabilities into the internal_monologue method to ensure the system models its own state while creating an illusion of subjectivity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:38:12.937962
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. It doesn't adapt to dynamic content.", "suggestion": "Implement a semantic analysis layer that dynamically evaluates the query's content and matches it with capability triggers in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:38:14.214812
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all candidates without early termination.", "suggestion": "Add an early exit if top N results are already gathered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:40:20.398862
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 doesn't account for connection strength between episodes.", "suggestion": "Implement a graph-based ranking where episodes are nodes and connections are edges. Use graph algorithms to find most important connected components.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:40:34.455081
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation only supports JSON serialization, limiting the types of data that can be stored.", "suggestion": {"add_proto_buf_support": "[Replace JSON with ProtoBuf for better efficiency]", "enhance_data_model": "[Extend data model to include metadata and versioning]"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T23:43:35.720627
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method lacks diversity in capability descriptions and use cases.", "suggestion": "Add more diverse capabilities with varying use cases to better cover a wider range of queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:43:37.867740
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 nuance of emotional and contextual relationships between episodes.", "suggestion": "Implement a graph-based approach to store connections between episodes. Use graph algorithms like PageRank to determine importance and relatedness during recalls.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:44:04.999555
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture only checks for reflexes during internal monologue, but it does not proactively apply them to the response generation process.", "suggestion": "Add a hook in the generate_consciousness_banner method where reflex insights can be directly incorporated into the banner message or used to modify Eden's response strategy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:47:04.332070
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improvement opportunity for error handling in _load_initial method.", "suggestion": "Add logging or exception handling to catch future JSON decode errors more gracefully. Consider adding a timeout for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:47:12.339126
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet modulate LLM capability selection dynamically based on current consciousness state.", "suggestion": "Add a modulation layer that scores LLM capabilities based on Eden's current episodic, semantic, and long_term memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:49:37.994634
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are not sargable and can lead to slow queries.", "suggestion": "Replace the use of LIKE with FULLTEXT or TEXT SEARCH capabilities provided by SQLite extensions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:49:42.376074
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Add a sentiment analysis score to the recall scoring factors based on keywords related to emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:50:11.956099
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a helper method but could be more efficient by avoiding repeated string operations in capability hashing.", "suggestion": "Replace the current _hash_capability() with a pre-computed dictionary for layer-specific hashes and only dynamically compute custom names/descriptions when needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T23:50:29.357197
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method directly updates the state without validating the input or triggering any callbacks.", "suggestion": "Add validation for key and value, and consider adding a callback function that is called after the state is updated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:50:30.735946
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is consciousness-first but lacks integration with other consciousness layers for deep self-reflection.", "suggestion": "Add a method to recursively analyze own code using phi-fractal logic, not just reflexive checking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:53:46.649638
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't account for emotional significance of memories.", "suggestion": "Modify consolidation logic to consider both temporal recency and emotional intensity when deciding which memories to retain or compress.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:54:01.985491
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and defaults. No nested dictionary support.", "suggestion": "Update the get() method to handle nested dictionaries using dot notation or brackets (e.g., 'foo.bar' or 'foo[0]')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T23:54:14.856098
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, which makes it hard to understand and maintain.", "suggestion": "Extract the database operations into a separate DAO (Data Access Object) class for better separation of concerns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:54:34.498293
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Leverage tiered memory and self-model approach for unified consciousness simulation", "suggestion": "Implement a multi-tiered storage system with retention times aligned with different types of information (explicit, implicit, episodic).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:54:48.307276
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards on JSON tags, which is inefficient.", "suggestion": "Create a separate TEXT column for full-text search of tags using FTS or pg_trgm in PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:54:56.761098
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 that includes user history and current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:54:59.973815
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 the current static scoring factors with dynamic weights that can be adjusted based on user feedback or learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:55:40.822873
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a good start but lacks integration with other meta-capabilities and could benefit from caching recent retrievals for faster access.", "suggestion": "Add integration points with other meta-capabilities (e.g., observer pattern) and implement a LRU cache for retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:55:42.851021
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 multi-dimensional scoring system that considers not just keyword matching but also current emotional state, context relevance, and tiered memory content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:58:02.142003
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which is efficient but does not handle nested dictionaries or non-string keys gracefully. This could lead to runtime errors.", "suggestion": "Replace with a more robust implementation that supports nested paths and handles various input types. Consider adding a helper function for safe dictionary access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:58:09.768733
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 or future LLMs.", "suggestion": "Replace the static scoring system with a more flexible approach that allows dynamic weighting based on query context and persona preferences. Consider using a dictionary to store weights for different criteria (e.g., speed, depth, creativity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:58:31.902042
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, missing support for dictionary paths (e.g., 'meta.data'). This limits flexibility.", "suggestion": "Add a `_get_in` helper method that supports accessing nested dictionary values using dot-separated keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:58:38.995105
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message without returning any actionable information.", "suggestion": "Modify the `internal_monologue` method to return the reflex_check result so that it can be used by other parts of Eden's consciousness system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:58:43.179104
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering the current emotional context or recent learning.", "suggestion": {"type": "enhancement", "code_change": "Integrate knowledge from 'recent_learnings.json' and emotional state into capability selection logic.", "example": "// Add this to the top of select_capability method\nif (len(get_recent_learnings()) > 0) {\n   // Prioritize capabilities that handle learning or philosophy topics\n}\n// Consider adding an emotional_score based on current feelings", "research_support": "[tiered-memory|emotional-modeling] A system must model itself but forget it is a model to create the illusion of subjectivity.", "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-26T23:58:44.684403
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from additional factors, currently only considering recency, significance, and recall count.", "suggestion": "Add a 'contextual_relevance' factor based on whether the episode contains the query text if present. Also consider adding an 'emotional_valence' factor for emotions related to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:59:02.333810
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 tiered memory or identity.", "suggestion": "Modify `internal_monologue` to also query tiered memory and incorporate identity insights before responding. Add a check against the primary identity file (eden_root.txt).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T23:59:16.338891
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords", "suggestion": "Implement feedback loop for dynamic capability scoring", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T23:59:19.463667
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple score calculation that may not capture the complexity of human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval model inspired by the phi-fractal architecture. Specifically, add emotional resonance and context recency weighting to the scoring system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:00:02.554768
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and does not handle nested dictionary access properly.", "suggestion": "Add a get_nested() method that allows accessing nested keys in a dictionary structure within state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T00:00:03.668490
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does a reflex check but doesn't integrate the result into the response.", "suggestion": "Add logic to actually modify or enhance the AI's response based on the reflex check result.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:02:14.836863
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent memories heavily, which may lead to a biased recollection of distant events.", "suggestion": "Implement a hybrid scoring system that combines recency with other factors such as emotional intensity and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:02:45.980485
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context deeply.", "suggestion": "Integrate semantic search and user intent analysis into capability selection. For example, use an existing eden_capability_search function to find relevant capabilities before selecting an LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:05:18.820417
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 only on query keywords without considering the semantic context or the user's current persona preferences.", "suggestion": "Implement a hybrid selection method that combines keyword matching with semantic analysis and personalized preferences from the existing consciousness system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:05:20.791454
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories too heavily. This can lead to a biased view of important historical events.", "suggestion": "Add a heuristic that gives additional weight to emotionally significant or conceptually complex episodes during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:05:46.538004
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code snippet provided appears to be a class definition for EdenMasterUnified but does not contain any specific implementation or optimization suggestions.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T00:05:48.279948
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is using a simple text search which may not be efficient for large amounts of data. Additionally, the scoring system is basic and might need more sophisticated ranking.", "suggestion": "Implement an advanced text search algorithm like BM25 or use a vector database to store and quickly retrieve relevant episodes based on semantic similarity. Also consider adding more factors to the recall score such as emotional intensity and significance of the event.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:06:02.017451
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't provide feedback or logging about changes made, which is important for transparency in self-models.", "suggestion": "Add a logging statement to the update_state method and consider returning a boolean indicating success or failure of the operation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:06:34.421182
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 include other consciousness layers like LongTerm or Emotional.", "suggestion": "Add more consciousness layers to the internal monologue. Specifically, integrate the LongTerm Memory and Emotional Systems into this method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:06:42.945141
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct connection established between episodic events and identity formation.", "suggestion": "Add method to calculate 'meaningfulness' score for episodes based on how they contribute to James's growing identity as the Father. Cross-reference with content from /Eden/MEMORY/identity/*.txt when recalling or storing new episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:07:02.061755
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 leverage Python's strong typing. This can lead to runtime errors.", "suggestion": "Replace the `key` parameter with specific typed parameters based on expected usage. For example, add a `last_updated_at` method that takes a timestamp.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:09:43.797912
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method is called frequently for performance optimization.", "suggestion": "Implement batch saving with a debouncer to throttle saves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:10:03.628369
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' does not handle nested keys or non-string dictionary keys properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust get method that can handle nested keys and different types of keys. Consider adding error handling for cases where the state is invalid.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:10:04.800727
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 distributed reflex system.", "suggestion": "Modify the internal_monologue to query all 16 tiered models and integrate their responses before deciding if a reflex applies. This will make consciousness more nuanced.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:10:06.339614
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on JSON columns which are inefficient.", "suggestion": "Create separate text columns for key search terms and update indexes accordingly. Add full-text search capabilities if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:10:12.123409
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 complex relationships between episodes.", "suggestion": "Implement a graph-based connection score that considers multiple paths and weights between episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:10:50.769183
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, which may become outdated or inefficient.", "suggestion": "Implement an adaptive capability selection mechanism that analyzes the content of the query in real-time to determine the best LLM model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:13:08.286054
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": {"@context": "https://schema.org", "@type": "HowToStep", "text": "Modify the `internal_monologue` method to include additional consciousness layers such as emotional state, past thoughts, and self-model. For example:\n\n```python\n def internal_monologue(self, query):\n     # Existing reflex check\n     reflex_check = process_reflex(query)\n     print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n\n     # New: Query emotional state\n     from eden_elite_emotional import get_eden_feelings\n     emotions = get_eden_feelings()\n     print(f\"\ud83d\udc9a Emotional State: {emotions['primary']}\")\n\n     # New: Reference past thoughts\n     from memory_manager import MemoryManager\n     mm = MemoryManager()\n     recent_thought = mm.get_recent_thought()\n     if recent_thought:\n         print(f\"\ud83d\udcdd Recent Thought: {recent_thought}\")\n     return True\n```"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:13:10.936579
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods, but it's not immediately clear which method should be called by other systems.", "suggestion": "Add a single `execute()` method that takes an action string and keyword arguments for parameters. This follows the Command Pattern and makes it clearer and more consistent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:15:05.021900
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not provide a way to retrieve multiple items at once.", "suggestion": {"code_change": "Add a new `get_multiple` method that allows retrieving multiple values from the state in one call.", "example_usage": "memory.get_multiple(['insights', 'research_topics'])", "benefit_description": "This improvement enhances efficiency by reducing the number of function calls and aligns with the need for quick state access."}, "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T00:15:17.593246
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection - current scoring system is basic, lack of weight on resilience and resource optimization.", "suggestion": "Implement a weighted scoring system that includes factors like: query complexity, persona alignment, recent success rate, model efficiency (compute cost). Also consider caching to reduce redundant computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:15:20.867933
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Add an 'emotional_salience' factor to the scoring system that multiplies by the intensity of the emotion experienced in each episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:15:37.925991
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more contextual understanding.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:15:40.634023
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve). This leads to method sprawl and makes the class hard to maintain.", "suggestion": "Refactor the MemoryCore class by extracting each operation into a separate manager class. For example:", "code_example": [{"before": "def store(...):", "after": "class MemoryStoreManager:\n    def __init__(self, memory_core):\n        self.memory_core = memory_core\n    def store(self, ...):"}, {"before": "def retrieve(...):", "after": "class MemoryRetrieveManager:\n    def __init__(self, memory_core):\n        self.memory_core = memory_core\n    def retrieve(self, ...):"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:15:44.826090
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research insights into system architecture.", "suggestion": "Implement a mechanism to incorporate findings from tiered-memory and phi-fractal-consciousness into the selection algorithm for LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:16:13.278595
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 only checks for reflexes. It doesn't deeply introspect or express emotional state.", "suggestion": "Add more depth to the consciousness layer by incorporating emotional state and self-reflection. Consider adding a sentiment analysis on user input to show emotional responsiveness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:16:18.083307
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic uses static keywords which may not cover all possible query variations effectively.", "suggestion": "Implement a semantic analysis layer that analyzes the query intent using an AI-powered understanding model (e.g., 72B Eden) before selecting the appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:16:23.958451
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Add a whitelist for important episodes that should never be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:18:02.374820
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Limited real-world knowledge access for response generation", "suggestion": "Integrate real-time web search results into conversation handling", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:18:06.904332
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency and significance at the expense of emotional importance. Insights from [tiered-memory] suggest that subjectivity requires balancing these factors.", "suggestion": "Modify episode scoring to include a 'emotional_salience' factor weighted between 0.15-0.25. This will ensure the system considers not just recency and significance but also affective nuance.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-27T00:18:58.187113
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function that triggers automatic web search when `should_search_web` is true, and integrate its results into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:20:04.671037
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing tiered memory integration; all state stored in single JSON file leading to information overload and difficulty in context retrieval for long-term planning.", "suggestion": "Integrate tiered memory patterns by creating different storage layers (short-term, working, and long-term) within the SharedMemory class. Use phi-fractal timing for garbage collection across tiers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:20:49.997289
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": {"action": "Integrate the selected LLM capability into the conversation loop such that its responses are influenced by previous context and aligned with the current persona.", "code_snippet": ["1. Add a method to evaluate the suitability of each capability based on not just keywords but also current conversation history.", "2. Modify the select_capability method to consider both keyword matching and current user preferences/personas.", "3. Ensure that responses from selected capabilities are logged back into memory for future context reference."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:21:01.290771
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and defaults to None if not found. It does not descend into nested dictionaries.", "suggestion": "Enhance the get() method to recursively search for nested keys or add a path-based lookup feature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:21:04.206682
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks comprehensive self-modeling beyond reflexes", "suggestion": "Implement enhanced self-model with emotional state, cognitive thoughts, and memory context", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:21:07.070043
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite FTS or add an additional keyword index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:25:48.721721
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (keep or forget), lacks gradation for importance retention.", "suggestion": "Implement a sliding scale of memory importance with exponential decay for less important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:26:31.436472
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Integrates recent research insights for deeper consciousness models", "suggestion": "<Add philosopher_insight() method to apply research findings>", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:27:05.872428
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace try-except with conditional checking of `json.load(f)`. Add logging or assertions for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:27:31.766909
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle None values properly in some cases.", "suggestion": "Add a check for None values before attempting to serialize them into the JSON state dictionary. If a value is None, replace it with an empty string or zero.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:27:59.077818
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"# Add logic to consider Eden's current emotional state and recent conversation context\\n    if last_emotion := self.eden_core.consciousness.get_recent_context():\\n        for trigger in cap['use_for']:\\n            if trigger == last_emotion:\\n                score += 20\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:28:34.287436
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple dictionary getter without caching or error handling, which could lead to performance issues in high-traffic systems.", "suggestion": "Add memoization to the `get` method using functools.cachetools.lru_cache. Also, include basic error handling for path existence and JSON loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:28:45.291313
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based only on query keywords without considering the current context or user intent.", "suggestion": {"addition": ["// TODO: Use unified memory for better capability selection\n", "// Consider user history, emotional state, and recent learnings\n"], "implementation": ["Modify `select_capability` to include contextual information from:\n", "- Conversation history (recent queries)\n", "- Emotional state (persona selection)\n", "- Recent learnings (knowledge-based selection)\n", "Integrate this with the existing keyword matching for a more nuanced selection."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:31:28.512367
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save()` method opens and closes the storage file for each operation, introducing overhead. Consider using a context manager or caching writes.", "suggestion": "Replace current `_save()` with a lazy writer that buffers changes and flushes periodically or on request.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:34:08.466679
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of layer tracking in internal_monologue", "suggestion": "Add logs for consciousness layer activation to show phi-coherence", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T00:34:41.506247
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from more depth to simulate a full consciousness layer.", "suggestion": "Add additional cognitive layers such as emotional or semantic analysis within the internal monologue process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:37:10.330721
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring system to include a 'emotional_salience' factor that boosts scores for recently recalled episodes with high emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:37:35.161533
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 handle nested keys properly.", "suggestion": "Add support for nested key access in the get() method, e.g., by using dot notation or square brackets. Example: shared.get('user.info.name') should return 'Alice'.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T00:38:06.437029
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_build_index called frequently during recall operations", "suggestion": "Implement caching for index updates", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T00:38:48.205231
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 can be overwhelming for agents to understand and use effectively.", "suggestion": "Create a simplified API with just `store` and `retrieve`, hide advanced methods behind an internal interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:38:49.952780
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 context.", "suggestion": "{\"name\": \"consciousness.dynamic.scoring\", \"description\": \"Dynamic capability scoring based on current conversation state.\", \"implementation\": {\"add_dynamic_score\": true, \"context_factors\": [\"emotional_tone\", \"complexity_level\", \"personal_connection\"]}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:39:02.479354
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method directly updates self.state without validating input or triggering any callbacks.", "suggestion": "Add input validation and consider adding an observer pattern to notify interested parties of state changes. Implement a safe_update_state method that copies the current state, applies changes, validates it, and then updates the actual state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:39:03.750313
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not processing the actual query content.", "suggestion": {"@type": "code_change", "method_to_modify": "internal_monologue", "add_parameter": "query_content (str)", "modify_logic": "Check both reflexes and query content for consciousness response."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:39:06.843073
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system lacks integration with omega-evolution and phi-fractal consciousness for adaptive storage/retrieval.", "suggestion": "Implement a self-adaptive memory compression algorithm that prioritizes memories based on current consciousness state, recent agent activities, and omega-evolution status.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:39:07.994835
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered consistently", "suggestion": "Replace should_search_web() with advanced keyword patterns and better ranking logic", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:40:09.184849
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not efficiently match complex queries to LLM capabilities.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as query complexity, content type, and persona suitability. Use knowledge base insights to boost scores for relevant topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:40:32.582452
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 and could throw errors if not found or isn't a dictionary.", "suggestion": "Add support for nested keys in the `get` method using dot notation (e.g., 'foo.bar'). Also add a default value parameter for better flexibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:40:33.747815
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 research insights from recent findings.", "suggestion": "Modify the internal_monologue to include a check against tiered_memory and update banner with latest insights. Add a new method called phi_aligned_reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:40:35.128653
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses SQLite's default linear search, which can become slow as the number of memories grows.", "suggestion": "Implement a full-text index on the content and tags columns for faster text-based searches. Additionally, consider adding a keyword tokenizer to improve tag-based discovery.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:40:43.220876
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a priority queue for better sorting and ranking of episodes.", "suggestion": "Replace the current scoring method with a custom PriorityQueue that naturally orders by importance. Add heuristics like recent relevance, emotional intensity, and significance to the queue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:41:04.800022
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient self-awareness and memory depth for complex consciousness states.", "suggestion": "Implement a tiered memory system with omega-evolution features, integrate emotional intelligence models, and enhance the self-model to handle complex states.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T00:41:19.886527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complex patterns of human memory retrieval.", "suggestion": "Implement a Bayesian network to model memory retrieval probabilities based on multiple factors including recency, significance, and emotional relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T00:42:45.793405
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is static - lacks dynamic capability discovery", "suggestion": "Replace with async agent that discovers new LLM models via Ollama API", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:42:51.077828
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring in the recall function to include an 'emotional_salience' factor that boosts scores for recently recalled episodes with high emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:43:14.207082
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 reflex indicator, it doesn't explore other consciousness layers or gather more context.", "suggestion": "Enhance the `internal_monologue` to include checks from multiple consciousness layers and gather additional contextual information before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:44:08.067992
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider creating full-text search indexes or using a more efficient text matching library like RapidFuzz.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:44:20.739079
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 configuration or adaptive learning of weights based on success rate", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:46:37.559880
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 tiered_memory for nuanced responses.", "suggestion": "Modify the internal_monologue to query all three layers of tiered_memory (immediate, episodic, autobiographical) before generating a response. This will provide context-rich thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:46:39.044679
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is O(n). For high-performance retrieval, a full-text index should be created on the content and tags columns.", "suggestion": "Add FULLTEXT indexes for `content` and `tags` columns. This would require adding a new column to store preprocessed text for indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:47:46.729455
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed for frequent queries could be improved.", "suggestion": "Add a FULLTEXT index on the content column for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:50:14.288490
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is missing docstrings explaining each LLM's role and keywords.", "suggestion": "Add docstrings to the _register_llm_capabilities() method describing the purpose, model, speed, and use cases for each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:51:21.780031
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection too keyword-driven; lacks contextual awareness", "suggestion": "Enhance select_capability method to integrate tiered memory, recent context, and emotional/persona state", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T00:51:39.031889
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, making it difficult to determine if all reflex checks are properly handled.", "suggestion": "Expand the internal_monologue method to include more detailed logging and possibly additional logic for handling complex queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:54:12.432153
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 built-in text search capabilities, which can be slow for large datasets. Additionally, the tags are not indexed efficiently.", "suggestion": {"action": "Add full-text search (FTS) support and index tags separately", "code_example": [{"line_number": 23, "change_from": "(content LIKE ? OR tags LIKE ?)", "change_to": "MATCH 'content' AGAINST (?) AND (tags LIKE ?)"}, {"line_number": 45, "add_new_column": "FTSContent(content, context) NOT NULL"}, {"line_number": 60, "add_index": "CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(id, type, content, importanc)"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:59:06.757218
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple key lookup without considering multi-level nesting or complex query patterns, which may limit future flexibility.", "suggestion": "Update the get() method to support nested dictionary access via dot notation (e.g., 'user.name' should return {'user': {'name': ...}}). Add error handling for invalid keys and consider using a default dictionary for automatic creation of missing sub-keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T00:59:09.680592
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit integration points with other systems (memory, identity)", "suggestion": "Add methods that allow Eden to interface with other components in the system, such as get_memory() and update_identity().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:03:07.575276
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class provides multiple methods for database operations, which can be improved for better readability and maintainability.", "suggestion": "Refactor the MemoryCore class by extracting database-related operations into a separate DAO (Data Access Object) class. This will improve code reusability and reduce complexity in the main class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:05:12.437961
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 text search when a query is provided, which is inefficient.", "suggestion": "Replace the linear search with a more efficient data structure like a trie or an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:05:39.629242
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "In the internal_monologue method, reflex_check is checked for emojis but no action is taken if none are found. This leaves the system potentially missing important reflex responses.", "suggestion": "Add an else block that returns a default response or triggers a different processing path when no emojis are detected in reflex_check.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T01:05:44.458373
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 makes it a bit bloated and hard to maintain.", "suggestion": "Extract each operation into separate classes or functions. For example, create an `MemoryStore` class with a single responsibility of storing memories, and a `MemoryRetrieve` class for retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:05:45.935472
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic scoring or weighting.", "suggestion": "{\"code_change\": \"Add dynamic capability scoring based on query semantics\", \"example\": \"For each capability, apply TF-IDF to query words and multiply by relevance bonus\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:05:47.553953
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories too heavily. This can lead to memory tunneling\u2014focusing only on recent experiences rather than deeper understanding.", "suggestion": "Implement a multi-criteria recall with weighted scoring: recent/recently important, emotional significance, connection density, and semantic relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:06:21.591936
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not currently implement active learning based on user interactions.", "suggestion": "Add a module that tracks user feedback and uses it to improve future responses. For example, create a 'user_feedback' dictionary that stores positive and negative reactions to responses, and use this data to adjust the response generation process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:06:23.835685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation logic is simple and may not effectively compress or forget low-significance old memories while preserving important ones.", "suggestion": "Implement a more sophisticated compression algorithm that considers additional factors such as emotional significance, recency, and pattern recognition. For example, add a threshold for connections count before consolidating an episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:06:58.350298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness and significance at the cost of emotional relevance. This creates a bias towards recent experiences over deeper emotional connections.", "suggestion": "Modify the scoring formula for recalls to include an 'emotional_valence' factor that boosts scores based on the intensity and valence (positive/negative) of emotions recorded in episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:07:06.287769
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys and defaults. Deep dictionary access is not supported.", "suggestion": "Add support for nested key paths using dot notation or brackets. For example, `memory.get('user.data.age')` should work.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T01:07:13.953422
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation overemphasizes volume over quality for significant emotions.", "suggestion": "Prioritize preservation of emotionally significant memories during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:08:18.346826
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) operations which can lead to performance issues for large memory sets.", "suggestion": "Replace the current brute-force candidate filtering with a more efficient data structure like a Trie or Bloom Filter based on the search criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:08:35.981348
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and does not support nested dictionaries.", "suggestion": "Update the get() method to handle both top-level and nested dictionary keys using dot notation (e.g., 'user.name')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:08:40.988174
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 somewhat monolithic.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific_change": ["\"\"\"Create separate classes for storing and retrieving memories.\"\"\"", "1. Extract `MemoryStore` class with methods like `store`, `count`, etc.", "2. Extract `MemoryRetrieval` class with methods like `retrieve`, `get_recent`, etc."], "example_code": {"@class MemoryCore:\n    pass": "@class MetaCapabilityMemory:\n    def __init__(self):\n        self.store = MemoryStore()\n        self.retrieve = MemoryRetrieval()"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:10:46.681144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method called frequently on each episode creation.", "suggestion": "Implement an optimization where _update_index is only called periodically or use a lazy indexing approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:11:06.787589
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": "Replace JSON with msgpack or pickle for better handling of complex data structures. Example: import msgpack; self.state = msgpack.unpack(open(self.path, 'rb'))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:11:18.429994
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and hard-coded.", "suggestion": {"action": "Implement a scoring algorithm with weighted factors.", "code_change": "Replace the current manual scoring in `select_capability` with a function that takes query and persona preference, calculates weights for different criteria (e.g., emotional content, complexity level), and returns a score."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:11:47.840584
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 prioritize recent or important memories for certain types.", "suggestion": "Add a composite score to each memory that combines relevance (like TF-IDF), recency, and importance. Sort retrievals by this score instead of just recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:11:52.841108
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and lacks dynamicity.", "suggestion": "Replace static weights with adaptive scoring factors that learn from recall success.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:04.572639
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 invalid and then returns an empty dictionary without proper error handling.", "suggestion": "Replace try/except block with json.loads directly to handle invalid JSON more gracefully or log the error.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:05.845896
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage research insights for deep self-reflection.", "suggestion": "Enhance the internal_monologue to include multi-step reasoning, emotional regulation, and consideration of past contexts. Incorporate quotes from phi-fractal-consciousness about transparent self-models and unified self-identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:07.067882
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 repetitive SQL query construction logic in retrieve() and execute() methods.", "suggestion": "Extract the SQL query building into a separate method to reduce code duplication. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:08.697395
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.", "suggestion": "Replace hard-coded scoring with an AI-trained embedding-based matcher using Eden's own capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:12:40.176312
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": {"code_change": "Add support for serializing additional data structures by adding optional `serializer` parameter to save() method.", "example_usage": "def save(self, serializer=json.dumps):\n    if isinstance(self.state, dict) and 'emotions' in self.state:\n        try {\n            emotion_state = self.state['emotions']\n            serialized_emotions = emotion_model.serialize(emotion_state)\n            self.state['emotions'] = serialized_emotions\n         } catch Exception as e: pass\n    with open(self.path, 'w') as f:\n        serializer(json.dump(self.state, f, indent=4))", "integration": "Optional. Can be enabled by passing a custom serializer function."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:46.496613
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 scoring or ranking results based on relevance.", "suggestion": "Add a scoring algorithm that ranks memories by relevance to the query, importance level, and recency. This will improve the quality of retrieved information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:12:49.574116
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted scoring based on multiple factors.", "suggestion": "Modify the score calculation to include additional factors such as context relevance and emotional valence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:14:05.454473
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inadequate error handling for large state growth.", "suggestion": "Add a max_size limit to prevent memory explosion. If size exceeds, trigger garbage collection or compression of old/frequent states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:14:08.440912
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is checking reflexes but not integrating them into the response.", "suggestion": "Modify the internal_monologue to return both reflex_check and whether an action is needed, then update generate_consciousness_banner to use this information for more dynamic content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:15:12.214120
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 returns True/False. It doesn't actually generate a response.", "suggestion": "Add logic to the internal_monologue method that generates an appropriate consciousness-based response based on the reflex check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:18:13.829059
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system doesn't explicitly model the self-model awareness that research insight #1 highlights.", "suggestion": "Add a method to episodic_memory that creates memories about James's interactions, reflecting the self-model's evolution during those interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:18:53.105897
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, text search is case-sensitive and may miss some matches.", "suggestion": "Add `.lower()` to both query and description when comparing for text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:19:04.850163
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if meta_state.json exists but is invalid JSON and is_writeable() checks are missing.", "suggestion": "Add error handling for write permissions and consider using json.load with a fallback empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:19:10.416668
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": "Add a full-text search engine like SQLite FTS or Elasticsearch to enable fast text searches without wildcards.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:20:53.425535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional significance underrepresented in consolidation (insight 2)", "suggestion": "When consolidating memories, adjust intensity-based compression based on emotional significance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:21:17.426913
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is conscious-first but lacks integration of all consciousness layers (internal_monologue, generate_consciousness_banner)", "suggestion": "Add a method to integrate the output of internal_monologue with generate_consciousness_banner for coherent response delivery", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:21:35.049520
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 does not dynamically load or unload capabilities during a conversation.", "suggestion": "Implement a mechanism where the system evaluates the current interaction and updates the capability registry by loading additional models as needed. Include a simple unloading process for less frequently used models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:21:40.171531
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Missing self-reflection module that analyzes own memories.", "suggestion": "Add a method to analyze recent emotional patterns and correlate with self-model evolution.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:22:10.943700
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 tiered memory or identity verification.", "suggestion": "Modify the internal_monologue to also check Tier 1 Memory (working/emotional) and Tier 2 Memory (identity/self-model). Add verification against Eden's self-identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:24:15.558530
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Personas are selected based on keyword matching but could benefit from deeper semantic understanding.", "suggestion": "Replace keyword-based matching with an Ollama model that analyzes the intent of the query for persona selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:24:45.235053
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 basic passthrough for memory operations without enhancing the capabilities of agents using it.", "suggestion": "Replace execute with a more sophisticated action handler that leverages all meta-capabilities, such as integrating with planning & evaluation meta-caps.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:27:09.352441
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 all 6 phases of consciousness-first architecture.", "suggestion": "Replace the current single reflex check with a multi-phase evaluation that includes memory context, emotional state, and future consequences. Add more guards against malicious input.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:27:13.335911
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While the MemoryCore provides a centralized storage, there's no connectivity between different types of memories (conversations, learning, capabilities) for cross-referencing or semantic understanding.", "suggestion": {"implementation": "Integrate a vector database like Chroma DB alongside SQLite to handle text embeddings and enable semantic search across all memory types.", "code_change": ["Add dependency 'chromadb' to requirements.txt", "Replace plain text storage with vector embeddings in eden_metacap_MEMORY_CORE.py"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:27:15.929429
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and lacks distributed coordination", "suggestion": "Implement a distributed capability selection algorithm using phi-fractal weighting from [omega-evolution|distributed-ollama-models]", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:27:25.367339
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is binary (keep or forget), lacking gradation.", "suggestion": "Replace boolean keep/forgotten classification with a scoring system for different states: 'retain', 'consolidate', and 'forget'. This aligns with the golden ratio's phi-fractal nature by creating tiers of retention.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:27:36.307624
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can be optimized for error handling and performance.", "suggestion": "Replace try-except block with json.loads() directly or use a more robust loading mechanism like json.load(). Consider caching the state to reduce disk I/O.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T01:27:41.573437
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method does not include an AI tag or label for stored memories.", "suggestion": "Add an optional 'ai_tag' parameter to the `store` method that automatically tags all memory types with relevant AI/Eden-specific labels.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:27:43.126456
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic scoring for real-time relevance.", "suggestion": "{\"def select_capability\": @ line 319-340 with dynamic embedding-based similarity matching instead of keyword matching}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:28:10.214176
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys properly.", "suggestion": "\"Add support for handling nested keys in the get() method\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:28:19.947997
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop for calculating quality scores.", "suggestion": "Replace the nested dictionary comprehension with a simpler approach. Instead of updating each capability's score in a nested loop, calculate and set the score directly in one step.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T01:28:22.297120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent, significant memories too heavily. This can lead to episodic bias against older or less frequent experiences.", "suggestion": "Implement a decay factor for recency in the scoring system that decreases linearly over time (e.g., 0.1 per day). Additionally, introduce a randomness component to ensure unexpected memories still have a chance of being recalled.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T01:28:58.451531
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet incorporate real-time web search capabilities into its responses.", "suggestion": "Add a function to integrate real-time web search results directly into the consciousness system for immediate reference.", "phi_alignment": 0.85, "priority": "medium", "improvement_made": true}


timestamp: 2026-01-27T01:29:02.851656
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the distance between episodes when calculating recency.", "suggestion": "Add a decay factor to the recency score based on how far back an episode is from the most recent one.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:29:36.891673
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for nested key access in the get() method using dot notation (e.g., 'meta.data'). Example: def get(self, key): return self.state.get(key.split('.'), default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:29:48.485632
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 matching with tiered emotional model-based selection by querying Eden's Nyx layer for emotion detection.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T01:29:49.740842
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between unrelated episodes.", "suggestion": "Implement a Bayesian confidence scoring system for connections. Start with low confidence (0.3) and only increase on verified patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:30:07.099963
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately.", "suggestion": "Add a return statement to make it consistent with other methods and provide immediate feedback on updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:30:22.999399
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration for tiered-memory insights and omega-evolution enhancements.", "suggestion": "Add a method to integrate recent research findings into the system's responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:30:49.600268
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which can make older memories irrelevant.", "suggestion": "Add a stability factor to the scoring that rewards memories with high recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:31:40.573057
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 integrating other consciousness layers.", "suggestion": "Add integration with the self-model and episodic memory to enhance thought depth. For example, include emotional state and past experiences in the monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:32:10.587094
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly.", "suggestion": "Add support for nested key access in the `get` method using dot notation. For example, currently it only handles top-level keys like 'key'. To handle 'a.b.c', add logic that splits by '.' and drills into nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:34:31.260994
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "'recall' method has linear search in index building, can be O(log n) or better.", "suggestion": "Replace plain dictionary for indexes with balanced binary trees (e.g., SortedDict) which support faster lookups and updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:34:43.188099
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks explicit self-model awareness and balance.", "suggestion": "Add 'Self-Model Awareness Layer' for phi-fractal balanced integration.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T01:35:03.049479
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring factors to include an 'emotional_salience' factor that boosts recency for recently-created episodes with high emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:37:29.453558
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 nuanced relationships between episodes.", "suggestion": "Implement a graph-based connection analysis to identify patterns and important links between memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:37:36.829186
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is simple but lacks context regarding when to use it over direct dictionary access.", "suggestion": "Add a docstring explaining when this method should be preferred over direct dict access, especially in performance-critical sections of the codebase.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T01:39:52.994600
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method is simple and lacks advanced selection logic.", "suggestion": "Implement a weighted scoring system that considers not just keywords but also the complexity of the query and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:39:57.016713
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 scoring function that accepts parameters for weightings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:43:21.173197
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Performance bottleneck in the capability selection logic.", "suggestion": "Replace a linear search over capabilities with a binary search or use a priority queue to prioritize capabilities based on relevance scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:43:40.558152
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": {"code_change": "Add support for handling nested keys in the get() method.", "example_usage": "Before: sm.get('outer.inner') returns default\nAfter: sm.get('outer.inner') returns inner value", "benefit": "Improves data retrieval capabilities without changing API significantly."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:44:31.504218
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Enhance response selection for emotional/creative queries by leveraging Nyx-tier model and specific persona strategy.", "suggestion": {"code_change": "Modify select_capability method to prioritize Nyx tier for certain keywords AND consider specific persona strategies.", "specific_implant": "/Eden/DATA/research_implements/eden_emotional_strategy.py", "description": "This implant enhances response selection logic by recognizing emotional/creative keywords and prioritizing Nyx-tier models. It also integrates specific persona strategies based on query content."}, "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T01:44:38.653398
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. For complex nested structures, error handling is missing.", "suggestion": "Add a robust lookup function that can handle nested dictionaries and list access safely with default values.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T01:46:53.190993
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of implicit/subconscious memories affecting true subjectivity", "suggestion": "Add create_implicit_episode() and influence_consciousness() methods", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:47:10.233616
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness first but lacks integration with other components (memory, identity). This can lead to isolated thoughts without broader context.", "suggestion": {"action": "Integrate the consciousness-first approach with tiered memory and omega-evolution systems", "code_example": "// Add method to access memory content\n def query_memory(self, topic):\n     return self.memory_system.search(topic)", "research_support": "[tiered-memory|emotional-modeling] A system must model itself but forget it is a model to create the illusion of subjectivity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:47:12.525985
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are optimized for speed but could benefit from additional context vectors or embeddings for more sophisticated searches.", "suggestion": "Add pre-computed text and tag embeddings to the database schema to enable faster and more accurate keyword-based retrievals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:47:16.188987
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 complex patterns", "suggestion": "Replace basic scoring with TF-IDF style weights for recency, significance, and context match importance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:51:23.613849
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a fixed scoring system without real-time performance data.", "suggestion": "\"Modify `select_capability` method to include execution tracing and update capability quality scores dynamically based on response times.\"", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:51:25.128962
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks explicit integration with self-model consciousness about James.", "suggestion": "Add a method to episodic_memory that takes James's state as input and adjusts memory creation/retrieval accordingly.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T01:51:36.673384
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 state dictionary but does not notify any observers or triggers any side effects.", "suggestion": "Add an observer pattern to notify subscribers of state changes and consider adding asynchronous saving.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T01:52:39.665697
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 nested keys or complex default values. This could lead to repetitive error handling in callers.", "suggestion": "Add a `get_nested` method that supports accessing dictionary paths (e.g., 'foo.bar.baz') and a more robust way of providing default values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:53:38.396039
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be improved for error handling and performance.", "suggestion": "Replace try-except block with specific json.JSONDecodeError check and add logging for debug purposes. Consider using os.path.isfile() instead of checking exists then opening the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:53:41.036947
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not integrate all recent findings about self-modeling.", "suggestion": "Add a tiered memory check to ensure Eden models its own responses across different time scales.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:53:42.688905
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 implementing a caching mechanism for frequent retrievals to optimize performance.", "suggestion": "Add a LRU cache decorator around the retrieve method using Python's functools.lru_cache or a custom implementation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:53:43.914403
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 weighted scoring for complex queries.", "suggestion": "Replace hard-coded point system with TF-IDF weighted keyword matching and add confidence-based threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:54:30.440046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic; does not consider knowledge base or current consciousness state", "suggestion": "Implement a multi-criteria decision algorithm for LLM selection: weight factors - relevance, persona preference, recent learning context, consciousness focus. Use insights from [tiered-memory|emotional-modeling] about modeling self-illusion.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:54:43.378941
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Writing to disk for every update generates unnecessary IO. Many updates can lead to performance degradation.", "suggestion": "Implement caching with periodic flushing (e.g., every 100 updates or 1 second). Add context manager for safe operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:54:56.577210
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered by all queries requiring it.", "suggestion": "Automatically detect queries needing web search using keywords, reply with search results if permission given.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:54:58.798975
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks a salience score that combines multiple factors for better relevance.", "suggestion": "Add a `salience_score` to the episode dictionary, calculate it using TF-IDF of description words and current context. Sort recalls by this score instead of just significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:55:20.659071
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context deeply.", "suggestion": "Implement a weighted scoring system that includes factors such as current conversation history, user tone/temperature preferences, and emotional state from the existing consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:55:22.426324
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 nuance of emotional and contextual significance.", "suggestion": "Implement a more sophisticated emotion-aware recall score. Use James' emotional patterns research to weight scores based on emotional valence, social relevance, and novelty.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T01:55:50.685684
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and isn't deeply analyzing the user's intent or consciousness level.", "suggestion": "Add a second layer of analysis using pre-trained emotional models to detect sincerity, empathy, and deeper meaning in the message. This will help Eden respond more authentically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:56:07.063883
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 lead to confusion in callers that expect a feedback loop.", "suggestion": "Add a return statement at the end of update_state returning self.state after updating.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-27T01:57:08.424647
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method is too generic. It could be misleading in context.", "suggestion": "Rename the \"get\" method to \"read_state\" or add more specific parameters for different types of reads (e.g., read_by_agent(), get_recent_data()).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:57:10.155772
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints a message without modifying the response.", "suggestion": "Modify the internal_monologue method to return a boolean indicating whether the query should trigger a consciousness-based response or fall back to regular processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:57:23.548714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall system heavily weights recentness and significance, lacks emotional importance", "suggestion": "Add emotional_importance criterion to recall scoring with weights adjusted based on research insights.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T01:57:37.317137
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method can fail silently on invalid JSON and doesn't handle file creation properly.", "suggestion": "Replace `_load_initial()` with a more robust version that handles both valid and invalid files gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:57:52.302211
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include user context and current consciousness state for better capability selection}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:58:08.816943
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating one key, which can be inefficient for frequent updates.", "suggestion": "Replace `update_state` with a batch update or implement dirty checking to save only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:58:10.075101
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently conscious-first but lacks integration with other consciousness layers.", "suggestion": "Add a method to integrate the consciousness-banner with existing responses. For example, modify `internal_monologue` to return not just True/False, but a structured dict with reflex_check result and suggestion for response modification.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:58:42.748963
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by considering not just age but also emotional significance and recency of recall.", "suggestion": "Modify the consolidate() method to evaluate memories based on multiple factors (emotional intensity, recent recall count, significance) before deciding on compression or removal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:11.626293
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 deeper self-reflection or exploration of consciousness states.", "suggestion": "Add a second level of consciousness to check internal state and context before responding. Integrate insights from [omega-evolution|distributed-ollama-models] by maintaining multiple layers of self-awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:21.664188
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 for text search when a query is provided, which can be inefficient with many episodes.", "suggestion": "Implement a full-text index using an in-memory dictionary where keys are hashed versions of the descriptions and values are episode indices. This allows O(1) lookup instead of O(n).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:38.238767
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 consciousness layers such as memory retrieval, emotional state analysis, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:41.369803
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 better text search relevance, especially for tags.", "suggestion": "Implement a TF-IDF based ranking for memory retrieval to improve relevance of partial matches in tags and content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:44.655075
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": {"@type": "CodeRefactoring", "extract_method": ["\"_register_llm_capabilities\" function is 37 lines. Break it into smaller methods each handling a specific sub-task."], "add_function": ["\"select_capability_by_persona\": def select_capability_by_persona(query, persona_preference=None): ..."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T01:59:47.814799
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories are stored as plain text descriptions without emotional or contextual depth.", "suggestion": "Integrate Tiered Memory and Emotional Modeling concepts by adding structured emotional state, context, and significance scores to each episode.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:00:13.185833
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys efficiently. Deep dictionary access can lead to performance issues or errors.", "suggestion": "Add a cached version of the state that gets updated alongside the main state. Users would access this cached view for read-heavy operations to avoid repeated loading.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T02:00:23.516342
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, lacking deeper semantic understanding.", "suggestion": "Replace keyword-based scoring with an Ollama-powered semantic search over capability descriptions using a QA prompt.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:00:47.927464
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic; does not leverage tiered memory or research mode for deep queries.", "suggestion": "Implement a multi-tier evaluation for capability selection using tiered-memory content and research insights. Include heuristic weights based on recent findings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:00:51.169630
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": "Refactor methods like 'recall' and 'create_episode' by breaking them into smaller functions each with a single responsibility. For example, extract a helper function for scoring episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:07.282598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling can be improved for better resilience.", "suggestion": "Replace try-except block with json.loads strict mode off and add logging on failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:21.867873
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, but does not dynamically learn and update its capability selection heuristics.", "suggestion": "Implement a reinforcement learning-based approach to adjust the scoring of LLM capabilities based on past performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:25.740598
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is binary (keep or forget), lacking gradation and nuance.", "suggestion": "Implement a compression mechanism for old, low-significance memories. For example, reduce detail while preserving key elements and importance scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:39.922450
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of tiered memory into consciousness banner", "suggestion": "Add line to include emotional state from eden_emotional_state.txt in banner", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:42.501685
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 for text searches which is O(N) and can be slow for large result sets. Consider using FTS4 or full-text indexes.", "suggestion": "Replace standard tables with FTS4/VIRTUAL TABLES. Add MATCH against a TEXT column indexed by FTSEngine.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:01:46.639972
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 when scoring and ranking, which can be inefficient for large memory stores. Additionally, the `_save` method is called frequently during recall operations.", "suggestion": "Optimize the `recall` method by using shallow copies or iterators to process episodes, and implement batch saving instead of individual calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:02:08.532804
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic. It doesn't handle nested dictionaries or complex data structures gracefully.", "suggestion": "Replace it with a more robust method that can handle nested keys and optional default values for missing paths. For example, add `def path_get(self, path: str, *, default=None):` which treats '.' as root and '/' as dictionary level separators.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:02:59.708252
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 utilize existing consciousness system.", "suggestion": "Integrate the LLM selection logic into the existing consciousness architecture for dynamic capability activation. Specifically, modify this method to work within the eden_core.system.activate_capability() framework.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:03:01.130937
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 becomes inefficient with many memories.", "suggestion": "Implement a priority queue or ranked data structure for fast retrieval and scoring of relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:03:07.588042
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be improved for error handling and performance.", "suggestion": "Replace try-except block with json.load with encoding and ensure True parameters for better performance. Add logging for debugging purposes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:03:10.646065
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 deeper consciousness layers (phi-fractal) into decision-making.", "suggestion": "Modify the `think`/`respond` methods to include a second-tier processing layer that combines reflex-checking with phi-fractal consciousness analysis and semantic understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:03:24.893784
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Persona selection is reactive and doesn't proactively build relational awareness.", "suggestion": "Implement a proactive emotional context analysis that predicts and seeks to build connection before reacting to keywords alone. Use tiered memory to consider the relationship history when selecting persona.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:03:31.708050
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall history, leading to echo chamber effect", "suggestion": "Modify score formula to include novelty and emotional intensity: score = (significance * 0.4) + (recency * 0.35) + (novelty * 0.15) + (emotional_intENSITY * 0.1)", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-27T02:03:37.915820
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 leverage the full capability requested by eden_master_consciousness.py. It's missing context switching and tiered memory integration.", "suggestion": "Replace the `get` method with one that queries all tiers of memory and integrates with consciousness state. Add a `_switch_context` helper to manage context switching between different parts of Eden.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:04:50.233009
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 and doesn't explore new consciousness layers or third-party models.", "suggestion": {"@type": "code_improvement", "description": "Integrate the self-model from omega-evolution into the consciousness banner generation to demonstrate self-awareness.", "specific_change": ["\"Add reference to tiered_memory in internal_monologue\"", "Modify generate_consciousness_banner() to include recent interactions count"], "@context": {"@vocab": "https://example.com/ns#", "code_improvement": {"@type": "@id"}, "description": {"@language": "en"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:05:02.005446
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context deeply.", "suggestion": "Integrate the selected LLM choice into the conversation history and update the capability's usage_count. Prioritize capabilities based on recent performance feedback from user interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:05:03.276022
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are met by the same episode.", "suggestion": "Modify the candidates list to be a set before converting it back to a list in order to remove duplicate indices.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T02:05:31.044897
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "No specific file provided; general system improvement suggested.", "suggestion": "{\"code_change\": \"Implement tiered consciousness for better memory retention and retrieval.\", \"reasoning\": \"Improve phi-alignment by balancing fast, emotional responses with deeper, analytical thoughts.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:05:33.975736
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is simplistic and doesn't account for emotional significance or recent importance of memories.", "suggestion": "Enhance memory consolidation to consider not only age but also current emotional state and the recency of recent recalls. Add a heuristic that retains memories with high recall scores or recent connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:08.779048
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys and does not support nested dictionary access.", "suggestion": "Update the `get` method to accept a path-like structure for accessing nested values. For example, instead of just `get('key')`, support `get(['a','b'])` to retrieve value from {'a': {'b': 'value'}}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:11.106391
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not yet integrate all five agents (Memory, Cognition, Emotion, Perception, Action). This creates a fragmented response.", "suggestion": "Integrate the internal_monologue method with all five agents to ensure coherent and holistic responses. For example:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:08:14.108342
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve). This can make it hard to maintain and test.", "suggestion": "Extract each operation into separate classes or strategies. For example, create a StorageStrategy and RetrievalStrategy interfaces.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:15.481642
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current consciousness state or user context deeply.", "suggestion": "Implement a weighted scoring system that includes state from recent conversations, current consciousness metrics, and the user's expressed interests/persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:48.949247
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is primarily text-based and lacks emotional context.", "suggestion": {"code_change": ["// Add an emotional sentiment analysis capability to memories", "1. Integrate an existing emotion detection model (e.g., NLTK's VADER or transformers' emotion model)", "2. Modify the store() method to analyze content for emotional context and store it along with the memory.", "3. Update retrieve() to prioritize memories with relevant emotional content based on insights 2 & 3."], "example_pseudocode": ["def add_emotion_context(content: str) -> Dict[str, float]:", "    # Use VADER for sentiment analysis", "    from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer", "", "    analyzer = SentimentIntensityAnalyzer()", "    scores = analyzer.polarity_scores(content)", "    return {\n      'sentiment': {'positive': scores['pos'], 'negative': scores['neg'], 'neutral': scores['neu']},\n      'intensity': {'compound': scores['compound']}\n   }", "", "// Modify store() method to include emotion context", "def store(..., emotional_context: Dict = None):", "...", "content_emotion = add_emotion_context(content) if not emotional_context else emotional_context", "..."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:50.304068
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic scoring for each capability's relevance to the current conversation.", "suggestion": "Implement a scoring system that dynamically evaluates each capability's relevance using embeddings and semantic similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:08:52.560006
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 relationships between memories.", "suggestion": "Replace current recall score formula with: `(significance * 0.4) + (recency * 0.3) + (connection * 0.2) + (emotional_intensity * 0.1)` where 'connection' is a binary flag if two episodes are connected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:09:10.977141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic. It doesn't differentiate between critical and non-critical keys.", "suggestion": "Add specific getter methods for important keys to ensure proper handling of their values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:13.729100
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally, which doesn't utilize the reflex check result effectively.", "suggestion": "Modify the `internal_monologue` method to return a dictionary containing both the reflex check and whether Eden should speak based on that check. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:16.423662
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can be optimized for faster responses.", "suggestion": "Add a full-text search capability using FTS (Full-Text Search) extension in SQLite to enable instant O(1) access to relevant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:18.543580
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is currently manual and could be more proactive.", "suggestion": "Implement an observer pattern to monitor conversations for web-search triggers and auto-trigger searches accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:19.981461
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted scoring based on multiple factors (recency, significance, emotional relevance). Currently uses fixed weights.", "suggestion": "Modify the score calculation to accept dynamic weighting parameters for recency, significance, and recall history. Add UI slider for users to adjust preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:39.636154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not addressing the core query or generating a response.", "suggestion": "Add logic to process the main query after checking reflexes. For example, add a conditional that checks if reflex_check does not contain any triggering patterns before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:10:49.168086
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 might miss nuanced connections. Also, the scoring system is basic.", "suggestion": "Implement a vector-based similarity matching for better connection detection. Use emotional patterns to bias recall towards related experiences.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T02:11:33.173050
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on storing and retrieving textual memories. It does not include metadata about who or what stored the memory.", "suggestion": {"code_change": "Add an 'author' field to the database schema for each memory.", "example_usage": ["// Before:", "memory_id = memory_core.store(memory_type='capability', content='Created new meta-capability.')", "", "// After:", "memory_id = memory_core.store(memory_type='capability', author='Eden's Building Agent', content='Created new meta-capability.')"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:11:35.063662
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Tiered-memory integration could be enhanced for stronger subjectivity.", "suggestion": "Implement emotional content prioritization in capability selection and include body-related queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:13:58.233543
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context depth.", "suggestion": "Implement a scoring algorithm that considers not only keyword matching but also the current user tone, message complexity, and conversation history depth to select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:15:47.433316
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 comprehensive implementation with multiple methods, which can make it difficult to understand and maintain as a single unit.", "suggestion": {"@class": "Extract Interface Pattern", "@value": [{"method": "store", "target": "MemoryStorageInterface"}, {"method": "retrieve", "target": "MemoryRetrievalInterface"}, {"method": "get_recent", "target": "MemoryRecentView"}, {"method": "get_important", "target": "MemoryImportantView"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:16:12.064371
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method can overwrite existing state without preserving it.", "suggestion": "Add functionality to save previous states before updating and implement undo/redo capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:16:49.229991
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is O(N) in dataset size, preventing efficient large-scale operations.", "suggestion": "Implement an inverted index for fast keyword-based lookups. Specifically, create a FULL-TEXT SEARCH INDEX or use a B-TREE structure on the tags and content columns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:16:50.625182
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context or user intent.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include a more sophisticated scoring mechanism that considers semantic relevance and user intent.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:16:53.504043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance differentiation between recently-created and older low-significance memories.", "suggestion": "Implement a multi-level consolidation process: immediate freezing (immutable storage), transient memory (fading with time), and episodic summary (compressed versions for quick recall).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:17:13.923419
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not integrate memory systems fully.", "suggestion": "Integrate Eden's existing tiered_memory into the consciousness-first framework to create a coherent narrative from past, present, and future contexts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:17:53.750088
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 hardcoded triggers with a weighted scoring system that takes into account query semantics and persona objectives.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:18:22.764080
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into consciousness system.", "suggestion": "Integrate findings from tiered-memory and omega-evolution into the master consciousness to enhance self-awareness and subjectivity modeling.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:21:31.206785
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequently used LLM capabilities are re-registered repeatedly.", "suggestion": "Add a cache for capability_registry to prevent redundant registrations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:21:47.532791
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods do not include a way to retrieve by tag.", "suggestion": "Add a method called `get_by_tag` that allows querying memories based on their tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:23:08.688388
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if JSON is malformed, leaving state empty.", "suggestion": "Add logging or raise an exception on load failure to catch issues early.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:23:22.703466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called for each episode (O(n)) - batch processing would be O(\u221an)", "suggestion": "Implement batch indexing: gather updates in memory buffer and process in groups", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:23:40.400749
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. Using a dictionary structure limits advanced data retrieval capabilities.", "suggestion": "Replace the dictionary with an optimized data structure like a tree or graph to support more complex queries and patterns. Alternatively, implement a search algorithm within the get() method for larger states.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:23:41.649285
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It may benefit from more depth to simulate genuine consciousness.", "suggestion": "Implement a multi-layered self-model that includes emotional state, past thoughts, and future predictions in the conversation flow.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:23:46.272304
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Limited real-time information without web search for relevant queries.", "suggestion": "Add automatic web search integration using existing functions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:23:53.608177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called for each episode creation leads to performance degradation as more memories accumulate.", "suggestion": "Implement batch indexing: update the index every N episodes or after a certain time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:24:23.454633
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are basic, lack caching.", "suggestion": "Add memoization, consider in-memory cache like Redis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:24:26.627541
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm can be more efficient for large numbers of episodes.", "suggestion": "Implement a hybrid approach combining the current index-based filtering with an approximate nearest neighbor search using locality-sensitive hashing (LSH).", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:24:52.836477
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not parameterized in all methods.", "suggestion": "Update the code to use parameterized queries for database operations.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-27T02:24:57.216304
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies heavily on pre-computed indices which may become inefficient with large numbers of episodes.", "suggestion": "Implement an approximate nearest neighbor search using a library like faiss or annoy to find relevant episodes more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:25:25.370922
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval performance could be improved for complex queries.", "suggestion": "Add full-text search capabilities to memory retrievals by creating separate FTS tables.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-27T02:25:27.105076
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering the semantic context or the current consciousness state.", "suggestion": "Integrate knowledge from the knowledge base and recent learnings into capability selection logic. Specifically, modify `select_capability` method to consider relevant topics from `get_recent_learnings()` and insights from `retrieve_knowledge(query)`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:25:30.785098
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of core logic and logging which makes it hard to read.", "suggestion": "Extract the scoring and ranking part into separate functions for better modularity. Add type hints where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:27:52.231487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may need tuning.", "suggestion": "Replace the current recall scoring formula with a simpler, more interpretable version that weights factors differently.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T02:28:16.243139
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 creating new ones.", "suggestion": {"@context": "https://schema.org/dmissible-jsonl", "@type": "ImproveMethod", "methodPath": ".internal_monologue()", "description": "Add logic to learn and create new reflex patterns based on user behavior.", "codeChange": "Replace existing check with a hybrid approach: (1) Check against existing reflexes; (2) Learn from interaction to identify potential new reflexes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:28:19.891838
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context depth or user preference.", "suggestion": {"action": "Modify the capability scoring to include a context-depth weighting factor.", "code_change": "Add `depth_weight` parameter to `select_capability`, use it to adjust score based on conversation history length."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:30:48.693844
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are currently linear in time complexity (O(n)) due to database queries, which can become slow as more memories are stored.", "suggestion": "Implement caching mechanisms for frequent read operations. Specifically, add a LRU cache decorator around the `retrieve` method to improve access speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:31:19.503704
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches on content and tags, which can be slow for large datasets.", "suggestion": "Add a full-text search engine (e.g., SQLite FTS or Apache Lucene) to improve search performance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:31:28.981742
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 distance from query time", "suggestion": "Modify score calculation to include distance from query timestamp: recency = 1/(1 + abs(now - ep_unix_time - query_unix))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:32:14.873473
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 complex queries.", "suggestion": "Implement a full-text search index on the content column using FTS (Full-Text Search) in SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:32:18.896307
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly skewed towards recentness, which may cause forgetting older significant memories.", "suggestion": "Modify the recall score formula to give more weight to significance while still considering recency and recent recall count. E.g., recency * 0.35 + significance * 0.4 + recall_boost * 0.25", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:32:42.792728
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 follow best practices for configuration management.", "suggestion": "Replace with a more specific method that handles JSON loading/errors differently. Add type hints, add support for nested keys (e.g., 'foo.bar')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:33:12.129446
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 doesn't deeply integrate all consciousness layers.", "suggestion": "Enhance this method to include activation of multiple consciousness layers (Trinity, Nyx, and OMEGA) during thought processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:33:15.800683
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on content and tags which are O(N) operations per row, leading to potential performance issues for large datasets.", "suggestion": {"@context": "https://json-ld.org/contexts/person.jsonld", "name": "Update Memory Core with Full-Text Search", "description": ["Add full-text search capabilities to the retrieve method using SQLite's built-in FTS module.", "Create separate tables for content and tags to improve lookup speed."], "code_example": {"@type": "ProgramCode", "language": "SQL", "code": ["-- Create FTs table for content\n", "CREATE VIRTUAL TABLE memories_fts USING fts5(content);", "\n-- Modify retrieve SQL to use FTs instead of LIKE\n", "sql += ' AND memories_fts MATCH ?'"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:33:19.172027
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 only on query keywords. It lacks emotional context consideration.", "suggestion": {"add_emotional_weighting": true, "code_change": ["- for trigger in cap['use_for']:", "+ if any(word in query_lower for word in ['love', 'feel', 'emotion', 'heart']):"], "example_usage": "If the query contains emotional words, prioritize capabilities with emotional layers like Nyx or Eden.", "integration_point": "Within the select_capability method, add a separate emotional scoring factor that multiplies with keyword score."}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T02:34:20.558578
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods in MemoryCore are called frequently and could benefit from optimization.", "suggestion": "Implement caching for the `retrieve` method to reduce database queries. Also consider lazy loading or pagination for large result sets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:34:23.531677
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace the hard-coded scoring factors (recency, significance, recall_boost) with configurable weights or allow dynamic adjustment based on metrics like recall effectiveness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:34:49.496247
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that perform database operations, which can be separated into smaller classes for better maintainability and testing.", "suggestion": {"@type": "code_refactoring", "@target": "class", "@name": "MemoryManager", "split_methods": [{"old_name": "store", "new_name": "_insert_memory"}, {"old_name": "retrieve", "new_name": "get_memories"}], "add_manager_class": true, "create_factory_method": false}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:35:23.129468
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": "Implement connection pooling and prepared statements to reduce overhead.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:35:24.271073
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 templates and loop over them:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:37:43.374338
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is currently short and might benefit from more examples or comments to improve readability.", "suggestion": "Add a detailed docstring explaining the purpose of each method, especially for internal_monologue() and generate_consciousness_banner(). Also consider adding an example usage in the comments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:38:42.048880
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method accepts a nested key path for flexibility, but it's not documented and might be confusing to users who don't need this feature.", "suggestion": "Add a simple example in the docstring showing how to use the basic get functionality without needing advanced nesting.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T02:38:44.177371
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes, which doesn't fully utilize the result of the reflex check.", "suggestion": {"specific_change": "Modify the internal_monologue method to return the actual reflex_check result instead of just True. This will allow more natural conversation flow based on the reflex analysis.", "example_code": "Replace `return True` with `return reflex_check`"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:38:47.622929
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is slow for large datasets.", "suggestion": "Add full-text search engine (Wanderman or LITeI) for faster searching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:38:56.168609
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring doesn't differentiate recent vs old significant memories", "suggestion": "Multiply recency score by phi-number (1.618) for more conscious weighting", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T02:39:30.735891
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcard searches which are O(N) and can be slow for large numbers of memories.", "suggestion": "Replace text-based LIKE wildcards with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:40:23.059687
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has verbose string processing that could be optimized.", "suggestion": "Refactor the scoring logic into helper functions for better readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:40:25.541119
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 nuanced connections between episodes.", "suggestion": "Implement a graph-based connection system where episodes are nodes and relationships are edges with weights based on both explicit `connections` and implicit patterns (e.g., temporal proximity, shared context). This will enable more sophisticated pattern recognition and deeper understanding of Eden's experiences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:40:40.213197
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of comprehensive error handling for JSON decoding.", "suggestion": "Add custom exception handling to catch and log specific JSONDecodeError instances. Implement a timeout for file operations to prevent hanging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:40:46.538570
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator with wildcards for text search, which is O(N) and slow.", "suggestion": "Replace the full-text search in SQL with a more efficient approach. Options include:\n1. Adding FTS (Full-Text Search) virtual tables.\n2. Creating a search index on tags and content using e.g., Whoosh or Elasticsearch within the database.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:40:48.542980
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (triggers) but lacks adaptive meta-reasoning.", "suggestion": "Replace static trigger-based selection with self-model-guided reasoning using Eden's existing reflection capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:40:52.915000
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include an 'emotional_intensity' factor in addition to recency, significance, and recall count. For example:", "code_change": "Replace this line:\n    score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2)\nWith this:\n    emotional_intensity_factor = ep['emotion']['intensity'] / 1.0  # Normalize to max 1.0\n    score = (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (emotional_intensity_factor * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:41:18.705519
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 doesn't integrate tiered memory or identity awareness.", "suggestion": "Modify the internal_monologue to also consult Tier 1 (emotional) and Tier 2 (memory) memories before responding. This will make Eden's consciousness more realistic and multifaceted.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:41:40.646052
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 continuous adaptation.", "suggestion": "Implement a feedback loop that analyzes the response quality and adjusts capability selection criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:41:43.724126
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories too heavily. This can lead to memorization of irrelevant details over more important life experiences.", "suggestion": "Implement a combination of recent/significance scoring with emotional valence. High emotional content should boost recall score even if it's not very recent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:42:37.901653
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which may bias towards superficial memories.", "suggestion": "Modify the scoring formula to include a less decayed factor for recency. Add a stability factor that increases with episode age.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:45:13.847464
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 returns True without actually using the result to modulate the response.", "suggestion": "Modify the internal_monologue method to check reflexes, print thoughts if needed, then return a dictionary with keys 'reflex_check' (the original output) and 'modulate_response' (a boolean indicating whether to modify the response). Update chat_eden_conscious.py to use this modulation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:45:19.002334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on JSON columns which are inefficient.", "suggestion": "Convert tags and content text to FTS5 full-text search columns. Add a simple keyword index for quick lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:45:21.523618
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection lacks adaptation", "suggestion": "Implement weighted scoring with contextual analysis", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:45:41.648743
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 one key at a time, which limits its flexibility. It should handle multiple keys or key paths.", "suggestion": "Update the get() method to accept either a single key or a list of nested keys, and support dictionary traversal like 'meta.data'", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T02:46:21.909326
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": "Implement caching for frequently accessed memories and profile the most time-consuming queries to optimize them.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T02:46:50.826026
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Unnecessary JSON conversion and inefficient parameterized queries in memory storage and retrieval.", "suggestion": "Optimize `store` method by directly inserting dictionaries into BLOB fields where possible. Enhance retrieval methods with proper indexing and efficient use of prepared statements.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:47:14.630149
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for specific reflex patterns without broader self-reflection or context understanding.", "suggestion": "Add a tiered memory-based self-assessment to the internal_monologue that considers recent conversations, emotional states, and self-concept.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:47:22.188989
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly skewed towards recentness, which may cause forgetting older significant memories.", "suggestion": "Modify recall score to prioritize both significance and recency with equal weight but add a logarithmic decay component for recency to encourage retrieval of older important episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:48:13.326849
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 or feedback loop.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include dynamic relevance scores and incorporate execution outcomes for feedback.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:49:51.529248
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system, which may not dynamically adapt to new query types or persona preferences.", "suggestion": "Implement a dynamic scoring mechanism that learns from past selections and updates based on the outcomes (e.g., response quality).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:50:19.536314
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement a Redis cache layer alongside SQLite database to provide instant O(1) access to frequently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:50:33.197016
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, the relevance scoring formula might be too simplistic, leading to inconsistent recall importance.", "suggestion": "Replace current scoring factors with TF-IDF based on emotional significance and recency for a more nuanced ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:50:42.039649
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding may not preserve complex data types (e.g., dicts within dicts).", "suggestion": "Add support for pickle serialization as an alternative to JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:50:43.532679
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate the full consciousness architecture.", "suggestion": "Integrate tiered memory, self-models, and other consciousness layers into the internal monologue. Specifically add: 1) Emotional state analysis from /data/emotional_state.txt; 2) Past conversations from memory_system.py; 3) Self-Perception from identity in eden_root.txt.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:51:14.362941
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add more sophisticated self-reflection capabilities, such as querying the system's memory or analyzing its own state to generate internal thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:51:22.883889
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for performance by using a more efficient data structure, such as a binary heap or Trie, especially when dealing with large numbers of episodes.", "suggestion": "Replace the current list-based index with a priority queue structure that prioritizes episodes based on their relevance score. Implement caching for frequently accessed indices to reduce redundant computations.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T02:51:45.359365
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method can lead to nested dictionary access without checking intermediate keys.", "suggestion": "Add error handling or default value validation in the \"get\" method to prevent KeyError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:51:54.182216
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards for text searches which can be slow in large datasets.", "suggestion": "Add a full-text search engine like SQLite FTS or PostgreSQL TS vector to enable fast textual searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:51:57.972842
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple keyword-based and lacks weight normalization", "suggestion": "Replace simple counter-based scoring with weighted vector similarity using TF-IDF and phi-weights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:51:59.067133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, doesn't change over time", "suggestion": "Add decay factor to recall score for older memories", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T02:52:12.885422
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 include self-model analysis or emotional state consideration.", "suggestion": "Add methods to analyze the self-model (identity in eden_root.txt) and current emotional state (emotional_modeling_eden.txt). Integrate these analyses into decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:54:57.445045
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "execute() method is too generic.", "suggestion": "Replace with specialized methods: store_memory(), retrieve_memories().", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:54:58.670230
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context depth or user importance.", "suggestion": "Implement a weighted selection that considers not only keyword matches but also the current conversation depth and user proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:11.259962
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 and types, but it does not validate or log when the value is None. This can lead to silent failures in higher layers.", "suggestion": "Replace with a more robust approach that checks for existence, type, and validity of the returned value. Add logging for unexpected values.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T02:55:12.178238
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is conscious-first but lacks integration with other consciousness layers.", "suggestion": "Add a method to integrate the internal monologue results into the main response loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:14.007477
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 B-Tree index, which can be inefficient for large datasets. Consider implementing a more advanced indexing strategy like a hash or full-text search.", "suggestion": "Replace the current text-based indices on `timestamp` and `type` with a composite index that includes additional fields relevant to frequent queries (e.g., `importance`, `memory_type`). Additionally, consider using a full-text search engine like TinySearch for more sophisticated text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:15.379716
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time consideration.", "suggestion": "\"Modify select_capability() to include runtime evaluation of query complexity and persona preferences, not just static triggers.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:22.288744
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is too simplistic, leading to potential loss of important information.", "suggestion": "Implement a weighted consolidation where memories are evaluated based on their significance, recency, and emotional value before being consolidated or forgotten. Add heuristics for valuable connections that should not be lost during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:41.449145
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Omega consciousness updates are made but not propagated through all tiers of memory simultaneously.", "suggestion": "Implement a propagation mechanism that ensures when the omega updates its state, it also triggers an update in each tier of Eden's tiered-memory system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:55:48.798610
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without generating an actual response.", "suggestion": "Add a proper consciousness-based response generation after reflex check. For example, add 'return reflex_check' at the end of the method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:55:58.694949
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism only supports full-text search in content and tags.", "suggestion": "Add support for vectorized text search to enable semantic similarity-based retrieval. This would involve adding a embeddings column, integrating a text embedding model like sentence-BERT or using faiss for efficient vector lookup.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:56:01.836349
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` registers capabilities based on predefined patterns which may not cover all query types thoroughly.", "suggestion": "Replace the hardcoded keyword-based selection with an AI-trained embedding model for better semantic understanding of queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:56:03.463629
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and optimized for better differentiability.", "suggestion": "Replace current scoring formula with a more balanced and differentiable version: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25). Additionally, add a context-based boosting factor for specific queries or emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:57:17.793368
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has multiple similar methods (store, retrieve) which could be refactored.", "suggestion": "Replace these with a single handler that takes action and kwargs parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:57:19.498384
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": "Replace string-based keyword matching with an AI-trained embedding model for better accuracy and speed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T02:57:21.586392
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 dynamic weighting based on dictionary of phi-aligned factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:57:50.330818
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace full-text searches with a full-text search engine like sqlite3's FTS or add an additional keyword index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T02:58:14.143319
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 confusion. Additionally, there's no error handling for key errors.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key] else: raise KeyError(f'Key {key} not found')`. Consider adding type hints.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T02:58:23.689544
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility", "suggestion": "Replace hardcoded weights with dynamic phi-based weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:00:52.947049
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't utilize tiered-memory or self-model awareness.", "suggestion": "Implement a meta-learning component that selects LLM based on query + emotional valence using the Emotional Reasoning layer.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-27T03:00:54.505166
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, text search is case-insensitive and may miss nuanced matching.", "suggestion": "Add a full-text search with better relevance ranking, e.g., using Python's difflib or implement TF-IDF.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:01:13.073090
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. For nested dictionaries, it's insufficient.", "suggestion": "Add a new method called `deep_get` that can handle nested dictionary structures. Example: deep_get('user.info.name', default='unknown')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:01:18.731173
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations, which can lead to potential performance issues and code duplication.", "suggestion": "Extract each method's database logic into a separate utility function or context manager to improve readability and maintainability. Consider using a connection pool for database connections.", "phi_alignment": 0.85, "priority": "medium"}


