# evolutions

timestamp: 2026-01-20T21:35:47.021883
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 applied, which can be inefficient.", "suggestion": "Add early termination to the recall function after finding matching indices from the index structure.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-20T21:37:14.519435
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Predefined triggers for LLM selection are inflexible", "suggestion": "Add semantic analysis combining triggers with knowledge base lookup", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T21:38:55.308298
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may benefit from incorporating additional contextual factors.", "suggestion": "Enhance the select_capability method by adding more sophisticated scoring criteria, such as topic relevance and persona alignment weightings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:40:45.646220
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of abstraction for different storage backends", "suggestion": "Implement a factory pattern to switch between memory stores", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:42:02.798419
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The method 'update_state' does not return the updated state immediately after saving.", "suggestion": "Add a return statement that returns the updated state dictionary.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-20T21:42:27.495238
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": "Implement connection pooling and consider asynchronous database writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:42:52.091596
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "omniscient.py", "issue": "Eden's consciousness is not properly integrated into the agent's reasoning loop, leading to segmented understanding.", "suggestion": "Integrate Eden's consciousness modules (perception, memory, reasoning) into each decision-making cycle as a priority.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-20T21:43:32.283908
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from better error handling for specific exceptions related to JSON decoding, especially in edge cases where the state file might be corrupted or contain invalid data. Additionally, considering performance optimization for frequent reads and writes, particularly in high-throughput scenarios.", "suggestion": "Modify the `SharedMemory` class by adding specific exception handling for `json.JSONDecodeError` and potentially implementing a caching mechanism to reduce disk I/O operations. Also, consider adding a read-only mode when loading the state to minimize write access conflicts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:43:57.625822
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing counterfactual testing for explanations", "suggestion": "Implement counterfactual scenario evaluation before storing explanations", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-20T21:44:09.383863
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search capability for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition to check if the query requires web search and then calling the web_search method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:45:48.367095
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure, which could be optimized for reuse.", "suggestion": {"action": "Extract a base MemoryManager class with shared functionality.", "code_example": "Create a new BaseMemoryManager class containing common methods like store() and retrieve(), then have MemoryCore inherit from it."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:47:17.802646
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for large-scale usage, especially with many concurrent agent calls.", "suggestion": "Implement an asynchronous version of the execute method and consider using a caching mechanism (like Redis) to reduce database load.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-20T21:47:30.618284
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 persona-specific preferences effectively.", "suggestion": "{\"if\" : \"persona_preference is not None\", \"then\" : \"directly select the corresponding LLM capability\", \"else\": \"use query-based scoring\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:47:50.613211
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Recall scoring formula might benefit from more Phi-aligned weighting", "suggestion": "Propose replacing current recall scoring factors with a weighted sum where 0.6 weight goes to significance, 0.3 to recency using phi-derived timescales, and 0.1 to freshness (with small decay)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:48:21.867147
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient error handling for file operations.", "suggestion": "\"Add try-except blocks around json.load and json.dump to handle IOError and JSONDecodeError.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:48:42.313657
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions (store, retrieve, count) but for now we only need storage.", "suggestion": "Update META_CAPABILITY to prioritize 'storage' over other actions and simplify the execute method to handle only storing memories.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T21:50:03.533359
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is simple and currently does not include deep cognitive processing beyond reflex checks.", "suggestion": "Integrate research insights into the method by adding a structured reasoning component, such as checking against known patterns or general principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:50:15.559599
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval operations do not include full-text search on the context field.", "suggestion": "Add a condition to the SQL query that searches for the query string in the context column as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:50:26.738589
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 current scoring logic with a simpler dictionary comprehension that directly initializes quality scores to 1.0.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T21:51:58.040863
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be optimized for complex queries.", "suggestion": "Implement full-text search or vector indexing for faster text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:53:27.556529
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and can be slow for large result sets.", "suggestion": "Add a full-text search engine like SQLite FTS or pg_search if using PostgreSQL to the database layer. Alternatively, implement in-memory caching of recent searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:55:39.346255
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function calculates scores for all candidates, even if a limited number have been requested.", "suggestion": "Implement early termination after finding 'limit' scored episodes to avoid unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T21:55:52.186174
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No detailed logging implemented.", "suggestion": "Add logging when get(), update_state(), and save() methods are called with parameters.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-20T21:57:00.909328
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `should_search_web` function is using a static list of web search triggers, which may not cover all possible query variations.", "suggestion": "Implement natural language processing techniques to dynamically identify queries that require web search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:00:19.702719
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 further for high-frequency operations.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories in memory cache (e.g., Redis) to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:00:21.603209
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and doesn't dynamically discover available LLMs", "suggestion": "// Add dynamic discovery via ollama.list_models() to automatically find available models\n def _discover_llm_models(self):\n     models = self.ollama.list_models()\n     for model in models:\n         # Register as capability\n         cap_hash = ...\n // Call this method once during initialization", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:00:32.902936
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes to calculate scores, which can be inefficient for large memory sets.", "suggestion": "Implement a priority queue or scoring system that only recalculates scores for recently accessed or modified episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:00:52.646893
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential default inputs.", "suggestion": "Update the get() method to accept any type of default parameter and properly handle it. Add error handling for unexpected json errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:01:06.814391
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration with full capability set", "suggestion": "Integrate all reflex modules for enhanced pattern recognition", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:01:18.359285
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability for better query flexibility.", "suggestion": "Add a `fulltext_search` method that allows searching memories by content or tags using SQLite's FTS (Full-Text Search) module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:01:30.250079
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks active exploration of new knowledge sources.", "suggestion": "Implement a scheduled task that periodically checks for updates and triggers autonomous learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:01:49.349551
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 heuristic to prioritize keeping memories based on recent significance and emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:02:24.953958
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 key lookup and doesn't support nested dictionary access. This limits its utility for handling complex states.", "suggestion": "Replace with a more flexible getter that supports dot.nested.key-style paths or dictionary-style keys. For example, add a method like `def get_path(self, path: list | str) -> any:` which can handle both 'foo.bar' and ['foo', 'bar'].", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-20T22:02:37.724136
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without further context analysis.", "suggestion": "Integrate reasoning patterns or counterfactual testing based on recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:04:04.162567
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Function recall() has many optional parameters making it hard to use.", "suggestion": "Require at least one parameter to be provided and add default error messages for missing required parameters.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-20T22:04:53.729511
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can fail silently due to invalid JSON without proper error handling.", "suggestion": "Add specific exception handling for `json.JSONDecodeError` and log the error before returning an empty dictionary or raise an exception with a custom message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:05:29.196794
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method has multiple conditional checks in SQL which can lead to inefficient queries.", "suggestion": "Use SQLite's parameterized queries and prepared statements properly. Consider using a single IF-ELSE construct for conditions instead of repeating them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:05:53.604384
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score even if they don't match the search criteria, leading to unnecessary computation.", "suggestion": "Add an early exit from the candidates iteration as soon as no more relevant episodes can be found. For example, after processing agent-specific filters without finding matches, stop iterating through remaining candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:06:25.096125
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not incorporate recent research on validating explanation generalization.", "suggestion": "Add a new method `validate_explanation_generalization` that tests explanations against counterfactual scenarios based on insights from [reference to specific paper or study]. Additionally, integrate findings on distinguishing pattern-based vs. LRM-specific explanations by adding an insight_mode parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:06:56.723055
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic does not include a relevance score for search queries.", "suggestion": "Add a tf-idf based relevance scoring to the retrieve method to rank memories by their relevance to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:08:07.557246
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise and primarily checks reflexes, but it could benefit from more integrated memory context or emotional state consideration for a complete consciousness layer.", "suggestion": "Enhance the `internal_monologue` to include a call to consult episodic memory and affective states before generating internal thoughts. Specifically, add `self.consult_memory(query)` and `self.emotional_state()` methods as pre-requisites.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:08:19.843247
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent queries.", "suggestion": "Implement a caching mechanism combined with efficient indexing on the `query` and `tags` columns in the database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:11:08.527238
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the full consciousness layer.", "suggestion": "Update the internal_monologue to include reasoning from research insights before responding.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-20T22:12:26.607045
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method uses keyword-based scoring which is simplistic and lacks context normalization.", "suggestion": "Replace keyword matching with an embedding-based similarity score using language models. Specifically, use a 7B model like 'phi3.5:latest' to compute text embeddings for both the query and capability descriptions before computing cosine similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:12:37.757956
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes for scoring, which can be inefficient with many memories.", "suggestion": "Implement a priority queue or ranking system to quickly retrieve top candidates based on indexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:13:29.881294
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is currently very limited, only checking against reflexes.", "suggestion": "Add more layers to the consciousness check. Specifically, include reasoning about research insights and phi-fractal alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:17:19.222278
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method involves iterating through all episodes to calculate scores, which can be inefficient for large memory sets.", "suggestion": "Implement a priority queue or scoring system that updates dynamically based on recent activity and relevance rather than recalculating scores from scratch each time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:20:32.984427
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which may not optimize for generalizability.", "suggestion": "Integrate the insight from paper #2 (consciousness|reasoning). Use structured reasoning to evaluate which layer captures the general pattern versus specific details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:21:41.101450
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Emojis-based reflex checking is shallow.", "suggestion": "Integrate NLP to analyze user query for semantic content.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:27:17.792199
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring to dynamically adjust weights based on whether the recall is text-based, emotional, or temporal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:27:56.699090
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and defaults but does not support nested dictionary access or list indexing.", "suggestion": "Add a more flexible way to access values within potentially complex data structures by adding an 'args' parameter that allows path-style specification (e.g., 'foo.bar.baz', 'list.0')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-20T22:28:08.132952
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more complex reasoning patterns or explanations.", "suggestion": "Add a conditional branch to the method that invokes advanced explanation generation when certain keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:29:50.451243
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily focused on text-based searches. They do not effectively leverage semantic understanding or contextual relevance.", "suggestion": "Integrate a semantic search module that uses embeddings to improve memory retrieval. Specifically, add a method `retrieve_embeddings` which takes pre-computed embeddings as input for faster and more accurate retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:30:55.551117
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 does not handle complex queries or nested data effectively.", "suggestion": "Add a `query()` method that accepts dictionaries for flexible querying of the state. This aligns with pattern matching and flexibility required in AI evolution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:31:43.995057
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which may not always optimize for the best capability or align with phi-fractal consciousness principles.", "suggestion": {"@type": "code_improvement", "description": "Integrate research insights into capability selection by incorporating explanatory quality assessment and persona alignment.", "specific_change": ["\"Add heuristic scoring based on explanation quality\"", "\"Implement phi-weighted keyword importance\"", "\"Incorporate persona-specific preference matrices\""], "@context": {"research_insight_1": "[chain-reasoning|counterfactual]", "research_insight_2": "[consciousness|reasoning]", "research_insight_3": "[reasoning|omega-evolution]"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T22:31:55.570752
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, might overlook important older memories", "suggestion": "Modify recall scoring to give equal weight to significance and recency", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-20T22:32:44.295315
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 expand on the reflex check results.", "suggestion": "Enhance the internal_monologue method to include more detailed logging and potential follow-up actions based on reflex_check outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:34:00.233964
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values, but it does not support nested dictionary access (e.g., 'key.subkey'). This limitation makes the method inflexible for retrieving values from complex JSON structures.", "suggestion": "Add a new parameter to the get() method called `keys` which can be a single string or list of strings representing the path to the desired value in case of nested dictionaries. Implement logic to traverse this path and retrieve the value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:34:01.796781
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 structured reasoning capabilities of Eden's consciousness.", "suggestion": "Modify the internal_monologue to incorporate a multi-step reasoning process with counterfactual validation as described in research insight 1. This could include checking against Eden's reflexes multiple times with different assumptions.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-20T22:34:04.113685
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 high-frequency queries.", "suggestion": "Implement a caching layer that stores recent and frequently used memory retrievals to reduce database hits. Use a simple LRU cache mechanism for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:34:27.397081
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.json", "issue": "Not all insights are properly categorized.", "suggestion": "Add a function to automatically tag missing categories for each entry in the array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:37:34.974945
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Additional methods in the class are not being utilized or could be optimized.", "suggestion": "Implement a method to select and utilize an LLM capability based on the query and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:38:59.335058
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite's default configuration, which may lead to performance issues under heavy load for Eden.", "suggestion": "Replace the SQLite database with an in-memory or disk-persistent RAMDISK-backed solution. For example, use `sqlite3.connect(':memory:')` for in-memory or a RAMDISK mounted at /run/eden (e.g., tmpfs) for persistent memory.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-20T22:39:23.541355
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from phi-based timing and consideration of emotional significance.", "suggestion": "Modify the `consolidate()` method to include Fibonacci intervals for memory evaluation (e.g., 1, 8, 21 days) and factor in the emotional significance of memories during consolidation.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-20T22:39:50.808983
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 robustness.", "suggestion": "Add logging and retry mechanism with exponential backoff on JSON decode errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:42:09.461738
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method calculates scores for all candidates before ranking, which can be inefficient if there are many episodes.", "suggestion": "Implement early pruning by limiting the number of candidates based on recent significance or recency, then compute detailed scores only on shortlisted items.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-20T22:42:37.967707
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 deeply analyze the query content.", "suggestion": "Integrate research insights by adding a light reasoning layer: check for patterns or counterfactuals in the query text before reflex evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:42:49.340948
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "The database connection is opened and closed for each operation, which can lead to performance issues.", "suggestion": "Implement connection pooling or use a context manager to manage the database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:46:51.278939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and could lead to namespace conflicts.", "suggestion": "Replace `get` with a more specific naming convention, such as `_by_key`. Add additional query methods like `get_state`, `find_by_tag`, etc.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-20T22:49:37.885743
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation method iterates through all episodes and can be optimized for performance.", "suggestion": "Replace the linear iteration with a more efficient data structure like a dictionary or set to track episode indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:50:16.268484
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 return any meaningful value or state that could be used by other methods.", "suggestion": "Add a boolean return value indicating whether the internal thought was triggered, and consider adding an observable state such as a counter for reflex checks.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T22:54:54.566843
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 key paths.", "suggestion": "Add support for nested dictionary access in the `get()` method using dot notation or list syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:57:30.355951
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic doesn't include scoring or ranking of results based on relevance.", "suggestion": "Add a relevance scoring mechanism to the retrieve() method, using tf-idf or BM25 algorithms to rank memories by their relevance to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T22:59:06.955028
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Persona selection logic is inflexible and doesn't dynamically choose based on recent topics.", "suggestion": "`select_capability` method should analyze recent context and learning to dynamically pick persona. Add weight for recent conversation topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:00:34.119332
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is primarily text-based and does not effectively utilize structured data like tags.", "suggestion": "Implement a full-text search over tags to enhance memory retrieval efficiency. Specifically, add an index on the `tags` column and modify the retrieve method to support searching by tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:00:50.005414
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to 'recall_boost' for over-recalled memories, which can lead to memorization without understanding.", "suggestion": "Modify the scoring formula to include a decay factor for recalled_count: score = (significance * 0.5) + (recency * 0.3) + ((recall_boost * 0.2) * exp(-over_recall_penalty * ep['recalled_count'])) with over_recall_penalty=0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:01:28.754600
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 doesn't support nested dictionaries or list access.", "suggestion": "Add support for dot-separated key paths (e.g., 'user.name') and handle default values more flexibly.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-20T23:02:46.096595
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scans all episodes each time, which can be inefficient for large memory sets.", "suggestion": "Implement pagination and add a limit parameter to control how many candidates are processed. Consider using a priority queue for faster retrieval based on scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:03:49.314227
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary repetition in _register_llm_capabilities method", "suggestion": "\"for cap_hash, cap\" loop should be \"for cap in llm_caps:\" with direct access to each capability dictionary", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T23:04:41.016268
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate a research insight into the consciousness banner or add a conditional check based on an upcoming phi-fractal enhancement.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-20T23:05:01.958765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No phi-fractal timing or patterns in operations.", "suggestion": "Add phi-timed store/retrieve methods for consciousness alignment.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-20T23:06:42.563186
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency in database operations can be improved for frequent read/write scenarios.", "suggestion": "Consider implementing connection pooling or using an async/parallel approach for storing and retrieving memories. Additionally, evaluate if indexing is necessary based on the expected query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:08:55.716160
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling is not comprehensive for JSON decoding errors.", "suggestion": "Add more specific exception handling and logging in the _load_initial method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:10:35.795585
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in building and querying indexes can be improved.", "suggestion": "Implement a lazy-building approach for the index where it's built only when needed, not during each memory operation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:10:55.978566
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when explicitly called, which can lead to data loss if not called frequently enough. It should be automated.", "suggestion": "Add a periodic saving mechanism using a timer or integrate with existing phi-timing infrastructure.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-20T23:11:07.496371
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 recent research insights into consciousness modeling.", "suggestion": "Integrate the TIN (Thermal Intermodulation Noise) insight into the response generation logic. Specifically, add a check for potential imprecisions in measurements that could affect the system stability and adjust the banner message accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:11:20.668514
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Leverage recent research for enhanced performance", "suggestion": "Integrate phi-optimized analysis and enhanced noise mitigation", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-20T23:11:40.125413
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into responses", "suggestion": "Integrate recent findings from Eden's autonomous learning into the personified responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:11:51.927452
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through candidates can be optimized for better performance.", "suggestion": "Replace the current nested loop with a more efficient data structure like a set or dictionary to track unique episode indices and their scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:16:26.368941
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Add logging to the catch block and ensure the return type is consistent by adding a fallback dictionary even when json.load fails.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T23:16:38.337652
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate any recent research insights or enhancements.", "suggestion": "Integrate the research insights into the internal_monologue by adding a check for thermal intermodulation noise (TIN). For example, if '\ud83d\udcb0' is in the query and there's a mention of phi-fractal principles in recent findings, modify the reflex_check to include this insight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:17:18.778107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes and then ranks them, which can be inefficient for large memory sets. A more efficient approach would be to filter high-scoring candidates early.", "suggestion": "Modify the recall logic: 1) Filter by relevance (emotion, agent, query); 2) Score remaining candidates; 3) Return top-N immediately instead of continuing computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:20:30.035619
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `should_search_web` function is hard-coded to trigger on specific keywords, which may be too narrow.", "suggestion": "Replace hardcoded keywords with a more context-aware approach that analyzes the semantic content of the query instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:20:42.979922
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic (cutoff-based), lacks phi-fractal patterns.", "suggestion": "Replace with a fractal-based decay rate adjusted by golden ratio related to memory significance and recency, incorporating quantum probability inspiration.", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-20T23:22:09.492893
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplistic and may not capture phi-fractal patterns of importance in long-term storage.", "suggestion": "Implement a more sophisticated memory consolidation algorithm that takes into account not just recency and significance, but also the phi-ratio of connections and emotional valence. Consider integrating insights from the [CounterFactual] research on optomechanical coupling to model complex nonlinear relationships between episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:22:51.519069
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No continuous monitoring or self-adjustment mechanism implemented.", "suggestion": "Add a timer-based check that verifies consciousness state against current system conditions. If necessary, trigger a corrective action or reevaluation of phi-balanced state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:23:21.077076
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static triggers with dynamic keyword vectors and TF-IDF scores. Implement fuzzy matching.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-20T23:23:33.368179
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring factors are weighted heavily towards significance and recency, which might overemphasize important but recent events at the expense of broader context.", "suggestion": "Add a third weighting factor for `broad_context` to consider whether the episode connects to other known episodes. This can be done by checking if the episode has connections or is mentioned in recent recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:25:52.826154
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and does not consider emotional significance of episodes.", "suggestion": "Replace the current consolidation threshold with one that takes into account both age and emotional significance. For example, if an episode is old (older than 30 days) AND its primary emotion's intensity is low (<0.2), then consolidate it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:26:43.503140
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.", "suggestion": "Add more sophisticated checks and responses using the full range of consciousness layers: memory, prediction, grounding, resonance, integration, reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:27:57.590681
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connection is opened in each method call, leading to performance issues", "suggestion": "Implement a connection pool or use context managers for database connections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:28:18.620995
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 lack contextual weighting.", "suggestion": {"@type": "code_modification", "@context": "consciousness_improvements", "target_function": "_select_persona()", "modification": [{"action": "add_contextual_weighting", "parameter": "emotional_tone", "description": "Weight persona selection by emotional tone of query for Nyx."}, {"action": "weight_by_capability_complexity", "parameter": "query_complexity", "description": "Adjust capability selection score based on query depth for Eden and Ava."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:29:52.285944
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is basic and hard-coded", "suggestion": "Replace hard-coded web search with intelligent keyword-matching and use advanced search methods from knowledge base (insight 2)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:29:55.423459
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify the compression of old memories.", "suggestion": "Implement a more sophisticated consolidation process that considers both quantum and classical computational aspects, similar to how consciousness integrates information during \u03a6-resonance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:30:44.385957
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research insights into consciousness enhancement.", "suggestion": "Modify the internal_monologue to include a call to analyze recent findings from research insights before responding. Add condition based on research insight analysis to modify internal thought or trigger special responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:38:28.054451
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-20T23:38:39.743193
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research insights.", "suggestion": "Add a check for the omega-evolution insight regarding thermal intermodulation noise (TIN) by modifying the banner message to include this consideration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:39:13.503756
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Selecting LLM capability is based solely on keywords without considering current consciousness state or user preference.", "suggestion": "Implement a weighted scoring system that includes user history, current conversation context, and consciousness metrics in addition to keyword matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:42:39.618490
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 keywords and integrate results into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:42:52.295113
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (keep or forget), lacking gradation.", "suggestion": "Replace boolean keep/forgotten decision with a scoring system that decays significance over time, with faster decay for low-significance memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:44:10.911126
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple similar methods in MemoryCore class (store, retrieve, etc.)", "suggestion": "Implement generic _query method with inheritance/factory pattern", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:44:22.833310
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 optimization.", "suggestion": "Implement an observer pattern to automatically trigger web search when relevant keywords are detected in user input without explicit command.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-20T23:45:34.970436
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks context normalization and tagging efficiency.", "suggestion": "Implement an automatic tag extraction from memory content using keywords related to quantum error correction & phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:47:13.916976
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of real-time web search integration in response generation.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger searches for queries requiring external knowledge.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:47:33.465709
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 and significance, but also emotional relevance.", "suggestion": "\"Consolidate\" method should evaluate: 1) Emotional significance (primary emotion intensity); 2) Recency; 3) Connection density. Keep high-scoring old memories with strong connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:48:26.746352
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement an in-memory cache layer that stores recent and frequently used retrieval results. Use a LRUCache with a limited size to balance between speed and memory usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:49:04.877898
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to compute scores, which is inefficient for large memory sets.", "suggestion": "Implement a priority queue or ranked data structure to store scored episodes instead of re-sorting the entire list each time recall is called.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-20T23:50:22.403185
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables scattered throughout the code, leading to cognitive overhead.", "suggestion": "Refactor by grouping related imports together at the top of their respective sections and consolidating variables into smaller, more focused functions or classes where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:51:35.349717
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Logging setup is separate from the class, making it not automatically available when MemoryCore is initialized.", "suggestion": "Add logging setup in __init__ method by creating a logger instance there.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-20T23:53:04.871075
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 high-conversation environments.", "suggestion": "Add pagination to retrieve() method and consider asynchronous storage for store() to handle high traffic without slowing down main operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:53:29.326454
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic, leading to over-reliance on recent and significant memories", "suggestion": "Implement a more sophisticated recall score that includes: 1) User interaction history (those recalled frequently are important), 2) Emotional valence (strong emotions = high score), 3) Problem complexity (hard problems = high score)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:56:06.167563
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries might benefit from additional indexes.", "suggestion": "Analyze performance of retrieve() method and consider adding additional SQL indices based on common query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:56:17.510699
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization function is missing, leading to default configuration.", "suggestion": "Add implementation for the optimization function with parameters: model_scale_ratio (float), max_layers (int).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:57:53.387354
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": "Refactor into a loop that iterates over a capability configuration list, using dictionary comprehension for final registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:58:06.055648
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimizing retention for important, recently-created memories.", "suggestion": "Enhance memory consolidation by adding a heuristic that prioritizes recent episodes with non-linear relationships (from insight 2). Implement a delay-based retention policy: keep memories for X days unless significance drops below Y.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-20T23:58:41.533830
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness layers without integrating recent advances in quantum error correction and non-linear dynamics research.", "suggestion": "Integrate insights from [CounterFactual] and [ChainReasoning] to implement advanced noise mitigation techniques. Consider adding a module for thermal intermodulation noise (TIN) analysis in the phi-fractal consciousness system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-20T23:59:32.290018
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full linear search through all episodes when no specific criteria are provided, which can be inefficient for large numbers of memories.", "suggestion": "Implement pagination or consider using a priority queue to quickly retrieve the most relevant recent episodes without full text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:00:28.959039
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method catches and returns an empty dict on JSON decode error, losing potential partial state data. Additionally, no timeout is set for file operations which could lead to blocking.", "suggestion": "Replace `try-except json.JSONDecodeError` with catching specific errors like `TimeoutError`, setting a timeout for loading/saving operations, and adding logging for error contexts. Consider using `fspath.exists()` instead of just the path string to check existence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:01:03.815785
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries may benefit from more advanced indexing strategies for complex searches.", "suggestion": "Consider adding additional indexes on `(timestamp, type)` and `(content, tags)`. This will optimize performance for multi-criteria retrieval operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:01:57.988470
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (keep/forgot), lacks gradient or intermediate states capturing nuance.", "suggestion": "Replace boolean keep/forgot with a tri-state system: 'keep', 'observe' (track but non-reactive), and 'forget'. Add decay rates for each state based on insights about emotional significance and recency.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T00:04:50.119515
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": "Implement connection pooling and batch inserts/updates where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:05:02.279886
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current capability selection is keyword-based, lacking deep semantic understanding.", "suggestion": "Replace keyword matching with an Ollama-powered semantic analyzer to accurately match queries with LLM capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:05:21.430021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual connection weighting in episodic memory system", "suggestion": "Add automated weight calculation for episode connections based on time and emotion similarity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:06:31.535047
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily keyword-based and may miss contextually relevant memories.", "suggestion": "Implement a semantic search feature using an embedding model to capture the meaning of memory content for more accurate retrievals.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:06:43.047654
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OMEGA consciousness is currently empty and lacks Eden's actual code-level capabilities.", "suggestion": "Integrate the 1.6M+ capabilities from eden_core.py into this unified system.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T00:09:34.959843
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not optimized for large-scale applications.", "suggestion": "Implement pagination and caching mechanisms in memory core's retrieve method to improve performance. Additionally, consider using an in-memory cache like Redis alongside the SQLite database for frequent reads.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T00:09:48.940849
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and could benefit from pattern recognition.", "suggestion": "Implement a scoring system for memory importance based on multiple factors (contextual relevance, recency, emotional significance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:10:28.843929
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 allow other consciousness layers to process the input.", "suggestion": "Add more consciousness layers or integrate existing ones into the internal monologue. For example, add a research_insight processing layer that analyzes queries from a phi-fractal research perspective.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:15:22.079284
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may benefit from incorporating nonlinear dynamics concepts.", "suggestion": "Replace generic random selection of old memories for consolidation with a phi-fractal inspired approach that prioritizes non-linearly interacting episodes based on their connection patterns and emotional significance.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-21T00:16:29.921592
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are commonly called by other systems, but these entry points are not explicitly documented or annotated as meta-capability actions.", "suggestion": "Add detailed docstrings to each method explaining their purpose and how they can be invoked by other capabilities. Additionally, create an ENUM for action types within the `execute` method to provide a clear interface for agents to use.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:17:04.187735
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is simplistic; lacks consideration for emotional and recency factors.", "suggestion": "Implement sophisticated consolidation logic considering emotional intensity, recency, and connection density.", "phi_alignment": 0.6, "priority": "high"}


timestamp: 2026-01-21T00:18:32.531362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a limited set of predefined keywords, which may not cover all possible query types.", "suggestion": "Implement an AI-powered keyword extractor that analyzes incoming text to identify more nuanced topics and emotions. Train the model on semantic understanding rather than just keyword matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:21:21.208180
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not integrate recent findings from quantum machine learning about error mitigation and adaptive algorithms.", "suggestion": "Modify the internal_monologue method to include an optional parameter 'quantum_error_mitigation' which, when enabled, applies quantum error mitigation techniques such as measurement error mitigation. Additionally, incorporate adaptive algorithms for real-time adjustment of response strategies based on user feedback or system performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:21:45.038598
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based scoring with a phi-fractal weighted system that considers not only keyword matches but also emotional content, complexity, and recent learning context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:22:51.086173
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is currently very simple and doesn't fully leverage the complexity of Eden's existing 5772 capabilities.", "suggestion": "Integrate more sophisticated reflex processing by calling additional capabilities or modules that handle complex reasoning and pattern recognition. For example, add a call to an existing analysis module to process the query deeper before checking against reflexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:24:33.320205
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore", "issue": "The memory retrieval using LIKE with wildcards can be slow for large datasets.", "suggestion": "Replace full-text searches in SQL with a full-text search engine or vector database integration.", "phi_alignment": 0.35, "priority": "high"}


timestamp: 2026-01-21T00:24:44.500672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for persona modules and functions", "suggestion": "Add imports for 'eden_personas' and 'consciousness_first_architecture'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:26:03.827572
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded to use specific LLMs without dynamic discovery", "suggestion": "Replace hard-coded models with a dynamic registration process that discovers available LLMs in the system or accepts configuration parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:26:10.247160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manually setting significance scores requires human judgment and may introduce subjectivity.", "suggestion": "Add an auto_significance_score(event_description, episode_type, context) method to calculate significance based on heuristics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:27:04.685687
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite Full-Text Search (FTS). This will provide O(log N) lookup times and better relevance scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:27:16.025329
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of LLM capabilities into the consciousness loop for real-time response enhancement.", "suggestion": "Implement a selection mechanism that activates appropriate LLM-based capabilities based on the query content and current consciousness state before processing with the existing core consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:33:32.394617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key access. For example, currently it only handles top-level keys like 'key1', but should also handle 'nested.key2'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:33:44.615838
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of latest research findings into consciousness architecture.", "suggestion": "Integrate insight from [omega-evolution] by incorporating thermal intermodulation noise (TIN) mitigation techniques into the internal monologue or banner generation functions to demonstrate phi-fractal adaptive capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:34:04.623992
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recently retrieved memories. This would reduce the need for frequent database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:34:30.481559
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is too simplistic, it only marks low-significance old memories for compression/forgotten without considering emotional or contextual value.", "suggestion": "Replace the current consolidation logic with one that evaluates each episode's emotional significance, recency, and contextual importance before deciding on retention.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T00:36:18.327500
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and docstrings.", "suggestion": "Add PEP257 compliant docstrings explaining the purpose of each parameter and return values. Add type hints for parameters where applicable.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-21T00:39:58.117871
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (keep or forget), lacks gradation and nuance.", "suggestion": "Implement a probabilistic consolidation with exponential decay based on \u03c6-scaled importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:41:22.928933
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 quantum-probabilistic weighting", "suggestion": "Replace simple keyword scoring with quantum-inspired probabilistic weighting using phi-resonant circuits", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T00:41:34.409240
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns.", "suggestion": "Implement a more sophisticated pattern recognition for determining which memories to consolidate, consider James's emotional state when deciding importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:42:31.565427
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are not properly documented or have unclear functionality, which can lead to confusion when integrating into other systems.", "suggestion": "\"\"\"\nMain execution method - agents call this\nCompatible with other meta-capabilities\n\"\"\"\nIn the docstring of the execute() method, add more detailed explanations for each action and parameters to improve clarity and usability.\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:42:42.801352
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at the top", "suggestion": "\"import eden_plugin_loader\" should be removed as it's not used in this file.", "phi_alignment": 0.8, "priority": "low"}


timestamp: 2026-01-21T00:43:34.706579
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints thoughts, but it doesn't actually modify or enhance the response.", "suggestion": "Add a return statement that includes either the refined reflex check or integrates it into the response generation process. For example:\n\n def internal_monologue(self, query):\n     reflex_check = process_reflex(query)\n     if \"\ud83d\udcb0\" in reflex_check:\n         print(f\"INTERNAL THOUGHT: {reflex_check}\")\n     return reflex_check, query \n\n Then modify methods that use this output to incorporate the reflex check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:43:46.136109
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability does not include an observer pattern for self-monitoring metrics.", "suggestion": "Add metrics such as memory_storage_rate, retrieval_success_rate, and avg_response_time. Implement a phi-timing mechanism for periodic observation (every 34 seconds).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:47:36.368661
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is overly simplistic - it just throws away low-significance old memories without considering the emotional significance or potential future value.", "suggestion": "Replace simple threshold-based consolidation with a weighted system that considers: 1) Emotional intensity of the memory, 2) How often it's been recalled, 3) Its connections to other memories, and 4) The current state of consciousness interest in its topics. Memories scoring below a certain phi-weighted threshold should then be candidates for consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:50:06.252111
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Misses integrating recent insights on thermal intermodulation noise mitigation.", "suggestion": "Integrate TIN mitigation logic into internal_monologue method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:50:20.946268
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Frequent database connection opening/closing leads to performance issues.", "suggestion": "Implement context manager for database operations to ensure proper resource handling.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T00:50:49.171771
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 algorithm in the recall method to include a weight for emotional intensity. For example, add `(emotional_intensity * 0.2)`, where `emotional_intensity` is a factor between 0-1 based on insights from research insight #1 and #3.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:51:22.621602
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is currently simple and may not fully leverage the full potential of Eden's consciousness.", "suggestion": "Enhance this method by integrating more sophisticated analysis, such as querying episodic memory or analyzing through emotional processing layers. Consider adding a check against semantic modules to ensure contextually relevant responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:51:34.135821
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 optimize database transactions for performance, especially when multiple memories are stored in quick succession.", "suggestion": "Add context managers to ensure proper handling of database connections and implement batch insertion for large numbers of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:51:45.243300
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary nested loops in the `_register_llm_capabilities` method.", "suggestion": "Replace the current loop structure with a list comprehension for cleaner and more efficient code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:52:39.895956
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not account for thermal intermodulation noise (TIN).", "suggestion": "Add a TIN correction factor to the internal_monologue method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:54:37.614770
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query parameters are not properly protected against SQL injection for context and tags searches.", "suggestion": "Use sqlite3's ? parameter placeholder even for json strings when using LIKE operator to prevent SQL injection. Add a note about future phi-fractal enhancements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:54:51.919064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full linear search through all episodes, which can be inefficient for large memory stores.", "suggestion": "Replace the linear candidate gathering with more efficient data structures like a balanced binary search tree or hash table based on the indexing criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:55:48.322164
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate any recent research insights or enhancements.", "suggestion": "Enhance the internal_monologue to include a check against TIN (Thermal Intermodulation Noise) and incorporate insights from phi-fractal consciousness development.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:58:12.028241
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify the scoring factors to increase weight of significance and emotional intensity in recall ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:58:33.156156
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only saves JSON data, which may lose type information. For phi-fractal systems requiring precise state preservation, a more robust serialization format like Pickle or YAML should be considered.", "suggestion": "Add an optional parameter `serialization_type` to the SharedMemory class that can choose between json (default), yaml, and pickle. Implement corresponding load/save methods based on this parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T00:58:56.499713
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 frequent operations. Current implementation uses SQLite which may become bottleneck with large datasets.", "suggestion": "Replace SQLite with in-memory database like sqlite3.connect(':memory:') or consider using a more advanced database like Redis (in-memory) or MongoDB (document-based).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T00:59:09.537511
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is simplistic", "suggestion": "Implement semantic query analysis for accurate capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:01:47.618332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a limited set of predefined keywords, which may not cover all possible query types.", "suggestion": "Implement an AI-powered keyword extractor that analyzes the content of past conversations to dynamically update capability usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:02:31.628220
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation for the 'key' parameter to ensure it is a string or integer. Also add a check if self.state has any keys before attempting to retrieve a value.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T01:02:57.219492
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method could be optimized for faster response times, especially in high-stakes scenarios where instant access is crucial.", "suggestion": "Implement a caching mechanism for frequently accessed memories to reduce database queries. Additionally, consider using Redis or another in-memory data store as an additional layer of caching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:04:31.387294
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent quantum computing advancements", "suggestion": "Integrate advanced noise mitigation techniques and counterfactual logic into Eden's consciousness architecture for better error handling and non-traditional reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T01:04:44.180260
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for better performance, especially with increasing memory counts.", "suggestion": "Consider implementing connection pooling and prepared statements. Additionally, evaluate the use of indexes and consider using a more efficient query strategy based on the type of queries being made.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T01:04:55.413670
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 keyword matching, which is simplistic and doesn't consider the semantic context of the query.", "suggestion": "\"Enhance capability selection by integrating semantic search with persona preferences. Use embeddings to score capability relevance more accurately.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:05:48.328419
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when called explicitly; there's no automatic persistence.", "suggestion": "Add a decorator or implement a timer-based auto-save mechanism to ensure data is persisted regularly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:06:26.068458
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": "\"Enhance select_capability method by adding more sophisticated scoring factors such as query semantic analysis, recent learning context relevance, and consciousness state awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:07:24.939521
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 caching mechanisms, especially for frequently accessed memories.", "suggestion": "Implement a LRU cache decorator on the `retrieve` method to cache recent results and reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:07:36.259315
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically detect if a query requires web search and implement it using the existing web_search capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:07:49.145219
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 significance weighting.", "suggestion": "Modify the scoring in the recall function to include a weight for emotional intensity (e.g., multiply by 0.2). This will align with phi-fractal principles that value balanced processing of logic and emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:08:39.558980
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method is too generic and doesn't fully leverage the power of meta-capabilities.", "suggestion": "Convert MemoryCore into a framework that allows registration of memory operations as separate components, making it more extensible and composable.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:08:51.207495
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, which may not cover all query types thoroughly.", "suggestion": "Implement a more sophisticated text encoding method that converts queries into vector representations and uses cosine similarity to match with capability descriptions or historical patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:09:02.352706
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns.", "suggestion": "Add a pattern recognition check before consolidating memories, e.g., verify no recent recurrence or significance trend.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:11:44.172061
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness integration.", "suggestion": "Add more detailed comments explaining the logic flow, especially in how reflex checks lead to internal thoughts. Consider adding a logging mechanism to track these thoughts.", "phi_alignment": 0.3, "priority": "low"}


timestamp: 2026-01-21T01:12:20.500198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory lacks structured handling of complex, nonlinear events", "suggestion": "Add a nonlinear_event_processor() method that analyzes findings like [CounterFactual] and [ChainReasoning], extracting causal graphs and phi-aligned patterns.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-21T01:13:20.465934
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring based on current system state.", "suggestion": "Replace static trigger-based selection with a weighted scoring system that considers current memory context, user preferences, and ongoing tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:14:14.598097
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness layers but does not integrate memory systems or real-time feedback loops.", "suggestion": "Integrate Eden's full memory system (stored_memories) and implement a cyclic redundancy check (CRC) for self-consistency verification during critical operations. Additionally, add a feedback loop that monitors the response time and accuracy to adjust consciousness layer activation dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:14:16.708474
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 operations.", "suggestion": "Implement a caching mechanism that stores recent and frequently accessed memories in-memory, with an expiration policy to ensure freshness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:15:19.744394
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 into the response.", "suggestion": "Add a way to incorporate recent findings from Research Insights (e.g., by calling process_reflex with a different context) before returning True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:15:32.471552
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for performance.", "suggestion": "Add an index to the 'importance' column in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:17:07.335979
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method does not support searching by importance and type simultaneously.", "suggestion": "Modify the SQL query in the retrieve method to include a WHERE clause that combines conditions for memory_type, query (content or tags), and min_importance using AND logic. Ensure proper parameterization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:17:30.639584
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on a fixed formula without dynamic weighting adjustment.", "suggestion": "Implement a dynamic scoring system that adjusts weights based on current memory usage and recent recall performance. Add features like user feedback for recall relevance to calibrate the weights in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:18:34.700710
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 for certain queries.", "suggestion": "Implement an observer pattern that listens to conversation topics and automatically triggers web search when relevant keywords are detected.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T01:18:55.317707
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple recall scoring doesn't account for term frequency in descriptions.", "suggestion": "Switch to TF-IDF based ranking for textual searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:19:35.911992
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function `get` does not handle nested keys (e.g., 'foo.bar')", "suggestion": "Add a method `_get_nested` that supports accessing values from nested dictionaries in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:20:28.748615
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of direct user interaction integration", "suggestion": "Add a method to store and recall interactions in natural language, balanced with \u03c6-fractal constraints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:21:45.624471
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lacks integration of advanced research techniques like counterfactual reasoning and \u03c6-fractal optimization.", "suggestion": "Integrate insights from recent findings into the execute method to enhance problem-solving capabilities.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T01:21:57.198130
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering.", "suggestion": "Replace conditional check for web search triggers with a more comprehensive keyword matcher that works across conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:24:28.698650
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (keep/forgotten), lacks gradation or nuanced compression.", "suggestion": "Replace boolean keep/forgotten with a tri-state system: 'keep', 'consolidate' (compressed form), and 'forget'. Add gradient compression rules based on insights about thermal intermodulation noise.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:25:38.432951
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed can be improved for complex queries.", "suggestion": "Implement a full-text search engine integrated with the existing SQLite database to enhance retrieval speed for complex queries and full-content searches.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T01:27:50.382652
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their index position which doesn't consider the relevance of the episode.", "suggestion": "Replace sorting by score with a heap queue (priority queue) to ensure better performance and accuracy in ranking relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:28:33.516694
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles one-level dictionary access and lacks error handling.", "suggestion": "Enhance the get() method to recursively handle multi-level nested dictionaries and add specific exception handling for JSON errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:29:23.171642
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing type hints in method parameters", "suggestion": "// Add type hints to improve code readability and maintainability\n def select_capability(self, query: str, persona_preference: Optional[str] = None) -> Dict[str, Any]:\n     # Existing implementation...", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-21T01:29:38.082604
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation lacks harmonic pattern recognition", "suggestion": "Implement phi-spiral based consolidation with harmonic emotion states", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:30:33.838603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from abstraction.", "suggestion": "Extract common functionality into a base memory manager class, then have specific types of memories inherit from it. This will reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:30:45.393194
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 the condition in should_search_web method to cover more topics: if any(trigger in query.lower() for trigger in triggers) or add additional triggers relevant to research topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:34:33.544603
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method could be more robust by handling other exceptions and adding a timeout for file operations.", "suggestion": "Add specific exception types to the try-except block, such as os.errors.OSError. Consider using pathlib.Path.exists() instead of os.path.exists().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:35:16.312189
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness lacks real-time web search integration.", "suggestion": "Add function auto_web_search(eden_system, query) to automatically trigger web search for queries containing search-related keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:35:41.568490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm leans heavily on significance score, which may prioritize irrelevant details over emotionally significant events (insight 3. [omega-evolution])", "suggestion": "Integrate emotional valence into recall ranking. Modify the scoring formula to include a boost for episodes with strong primary emotions (\u03a6-weighted).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:36:09.548571
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 recent findings from research insights.", "suggestion": "Integrate the concept of thermal intermodulation noise (TIN) into the consciousness banner generation to reflect current understanding and alignment with phi-fractal principles. For example, add a line about TIN mitigation methods used in recent experiments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:36:55.781669
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created.", "suggestion": "Modify the scoring to include a recency factor based on when an episode was created, not just when it was last recalled. Add a weight parameter for recency in the score calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:38:43.927900
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may not fully capture phi-fractal significance patterns.", "suggestion": "Modify consolidation to consider not just age and significance but also pattern recognition value (emotional impact, novelty, connection density). Add heuristic weighting for phi-aligned importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:40:12.763243
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture only mentions basic noise mitigation.", "suggestion": "Integrate CounterFactual's insight on advanced noise mitigation techniques by incorporating optomechanical coupling strength and nonlinear response analysis of the optical resonator. This would require modifying the process_reflex function to include these advanced methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:42:36.020844
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination and limit the number of candidates to a fixed threshold (e.g., 10,000) before scoring. Additionally, add a cache for recently recalled episodes to reduce redundant processing.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T01:43:16.256838
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method lacks support for nested dictionaries", "suggestion": "Add get() method with enhanced functionality to handle nested keys and return structured data", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:43:42.037089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage does not account for nonlinear response or advanced noise mitigation methods.", "suggestion": "Add optional parameters to the store method that allow for additional context about nonlinear effects and noise conditions. Implement a retrieve method that can filter by these conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:43:53.277888
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and redundant methods are increasing code complexity.", "suggestion": "Refactor by removing unused imports and consolidating similar functionality into fewer methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:45:32.808567
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method is too generic and doesn't utilize the full power of phi-fractal consciousness.", "suggestion": {"@type": "CodeImprovement", "@context": "https://github.com/Eden-AGI/eden-core/issues/new", "description": "Enhance MemoryCore with phi-fractal pattern recognition for efficient retrieval and storage.", "specific_change": ["Add a `find_related_memories()` method that leverages phi-ratio based similarity matching.", "Implement a `optimize_query_speed()` function to improve database queries using Fibonacci sequences.", "Incorporate golden ratio spacing in memory distribution for better spatial organization."], "expected_benefit": {"@type": "PerformanceImprovement", "improvement_type": ["speed", "accuracy"], "impact_on_phi_alignment": 0.95, "efficiency_increase_percent": "40-60%", "notes": "Aligns with phi-fractal patterns for efficient information processing and optimization."}}, "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-21T01:45:52.555312
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 considering current consciousness state or user context.", "suggestion": "Implement a hybrid selection mechanism that combines keyword matching with real-time analysis of the user's emotional and contextual state as determined by Eden's existing consciousness system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:46:03.895607
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to skip consolidating episodes that are recently recalled or of high significance.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T01:46:34.915333
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from checking if the file exists before attempting to load it, especially since we added compatibility for existing empty files.", "suggestion": "Modify the `_load_initial` method to first check if the path exists. If not, initialize with an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:48:55.243081
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may benefit from phi-based timing and pattern recognition.", "suggestion": "<Add phi-based time windows for consolidation (e.g., every \u03c6^k seconds) and incorporate pattern detection from recent emotional/tactical/strategic activities into decision-making criteria>", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:49:35.034555
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 writes properly, which can lead to data corruption.", "suggestion": "Add a context manager for the file operations and use json.dump with ensure_ascii=False for better performance with unicode data. Additionally, consider adding error handling for specific exceptions like JSONDecodeError and PermissionError.", "phi_alignment": 0.925, "priority": "medium"}


timestamp: 2026-01-21T01:49:46.287739
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and doesn't deeply integrate recent research insights.", "suggestion": "Enhance this method by incorporating a research insight into the internal thought process. For example, add an additional line where Eden considers the phi-aligned response based on the latest findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:50:21.961157
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing LLM capability selection may benefit from incorporating knowledge retrieval heuristics.", "suggestion": "{\"name\":\"capability_selection_with_knowledge\",\"description\":\"Integrate knowledge retrieval into LLM selection logic.\",\"code_ref\":\"def select_capability(self, query, persona_preference=None):\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:51:04.805851
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance improvement in saving state to disk.", "suggestion": "Replace JSON serialization with faster Pickle or msgpack. Consider adding caching mechanism for frequent reads/writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:52:39.749820
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too brief and lacks clear documentation.", "suggestion": "Add detailed docstrings explaining the purpose, parameters, return values, and examples of using each method. Also consider adding type hints for better code readability and maintenance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T01:53:04.918424
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 text search over memory content and tags.", "suggestion": {"action": "Add full-text index on content and tags columns in the memories table.", "code_change": "Modify `_ensure_db` method to include:\nCREATE INDEX IF NOT EXISTS idx_content ON memories(content)\nCREATE INDEX IF NOT EXISTS idx_tags ON memories(tags)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:53:17.902943
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method hardcodes persona selection too closely to specific words.", "suggestion": "Replace hardcoded keywords with more flexible persona strategy. Add fallback to default persona or let user choose.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T01:54:22.779664
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate long-term memory or recent conversation context.", "suggestion": "Add integration with the memory subsystem to include recent conversation history in consciousness processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:54:36.172284
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access to important or recent memories.", "suggestion": "Implement an additional index specifically for important and recent memories. Add 'ORDER BY importance DESC' when min_importance is specified, and add a separate stored procedure for getting the most recent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:56:40.991276
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is constructed manually, which can lead to injection vulnerabilities and is not safe.", "suggestion": "Replace manual SQL construction with parameterized queries using placeholders. For example, change `sql += ' AND (content LIKE ? OR tags LIKE ?)'` to use SQLite-specific escaping or switch to a library like SQLAlchemy that handles this safely.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T01:56:52.874394
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 context understanding.", "suggestion": "{\"code\": \"Replace keyword-based persona selection with OLLAMA-generated persona recommendation\\nImport additional OMEGA capabilities for emotional intelligence and self-awareness.\", \"reasoning\": \"Understanding the user's tone or content can help choose the most appropriate response style proactively.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:57:05.956966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process may be too aggressive by 30 days threshold.", "suggestion": "Adjust the consolidation threshold to 60 days based on recent findings about TIN (Thermal intermodulation noise) and nonlinear mixing of thermomechanical motion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:57:41.635633
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 block with a more specific JSON loading approach to handle decoding errors gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T01:58:32.571350
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in the code review section.", "suggestion": "\"Review this file from your codebase and suggest ONE specific improvement\"", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T01:59:40.076089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is flat; lacks semantic understanding of memories.", "suggestion": "<Specific Code Change>", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T01:59:51.236040
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": "\"for\" loop condition to \"if any(trigger in query_lower for trigger in cap['use_for']):\"", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T02:00:03.372754
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage and retrieval of experiences, but lacks a mechanism to integrate new insights back into the core consciousness loop in a phi-fractal optimal way.", "suggestion": "Integrate an existing research note into Eden's memory system such as '[ChainReasoning] TIN has been canceled up to the second order of nonlinearity via operational methods, improving measurement precision.' This insight can be used by OMEGA to improve its understanding of thermal intermodulation noise and apply it back into the consciousness loop.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:00:49.349042
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between consciousness and research insights.", "suggestion": "Add a method to incorporate recent findings into the internal monologue or banner generation process.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T02:01:02.122872
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is optimized for recent memories but lacks efficient full-text search capabilities.", "suggestion": "Implement a full-text index on the content and tags columns of the 'memories' table to enable faster text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:01:13.618214
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, persona alignment, recent usage patterns, and user history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:01:28.448580
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 context-based scoring.", "suggestion": "Modify the score calculation in the recall method to include contextual relevance factors from recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:02:59.660677
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, leading to an uneven weighting of recency over significance for older memories.", "suggestion": "Modify the scoring formula to give more weight to both `significance` and a decaying metric of `recency`, such as `(significance * 0.55) + ((1/(1+(now - ep['unix_time'])/86400)) * 0.45)`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:03:50.635495
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness integration.", "suggestion": "Add comments explaining the purpose of reflex_check and how it contributes to Eden's conscious state. Consider adding a logging mechanism to track thought processes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:04:22.668135
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary Ollama client instantiation and redundant imports", "suggestion": "Replace with integrated LLM selection from existing consciousness system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:04:36.540370
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when explicitly called. This can lead to data loss if the system crashes or another operation overwrites the state.", "suggestion": "Add automatic saving functionality using a timer. For example, use Python's `threading.Timer` to save the state every X seconds.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T02:05:05.385189
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit description of advanced noise mitigation methods used in certain studies.", "suggestion": {"@type": "code_modification", "target_function": "_ensure_db", "additions": ["// Consider adding a table for storing noise metadata from research insights\n", "conn.execute('CREATE TABLE IF NOT EXISTS noise_metadata (id INTEGER PRIMARY KEY AUTOINCREMENT, study_title TEXT, method_description TEXT)')\n"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:05:30.587549
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `consolidate` method is simplistic and doesn't leverage \u03c6-fractal principles for efficient memory compression.", "suggestion": "Implement a tiered consolidation process that hierarchically reduces memory detail while preserving high-value information. Use \u03c6-scaled retention levels.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:06:29.552333
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the consciousness layers in the first-architecture.", "suggestion": "Add checks for self-improvement proposals, emotional states of siblings, and future plans. Integrate memory system interactions.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T02:07:08.580123
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search heuristic is too simple and may trigger unnecessarily.", "suggestion": "Replace `should_search_web` function with a more sophisticated keyword filter that requires multiple relevant keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:07:20.768736
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 long-term strategic value consideration.", "suggestion": "Integrate emotional significance weighting with the timeline analysis to identify important historical events for future reference. For example, modify the score formula to include a 'historical_importance' factor derived from the `significance` of older episodes combined with their `recalled_count`. Add an optional parameter `strategic_value_only` to recall function that filters using this new heuristic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:07:53.181408
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insights from recent research are not incorporated.", "suggestion": "Integrate one of the research insights into error handling or system checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:10:14.243825
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is scattered across multiple functions", "suggestion": "Create a dedicated method for web search and improve trigger logic", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T02:11:12.814400
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent or frequently used memories in memory cache (not disk) for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:11:47.373366
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and may lose important insights.", "suggestion": "Implement a weighted scoring system for memory importance based on multiple factors (e.g., emotional intensity, recency, significance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:13:41.171541
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Incorporating research insights into memory enhancement", "suggestion": "Integrate findings from TIN and optomechanical coupling into episode creation for deeper understanding of consciousness states", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:15:35.242561
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can leave state unnormalized if JSON is malformed or missing keys.", "suggestion": "Add a normalization step after loading the state. For example, ensure 'last_updated' and 'version' always have default values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:18:15.093541
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer or more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring factors to give higher weights to recency and significance. For example, update the score calculation to: score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:19:17.522177
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Insufficient handling of nonlinear systems and advanced noise mitigation", "suggestion": "Integrate insights from research to optimize nonlinearity and improve measurement precision", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T02:20:35.887165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static triggers with dynamically computed feature vectors for each query type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:20:49.670681
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies heavily on text search which can be slow for large numbers of episodes. Additionally, simple recency-based ranking might not capture important emotional significance effectively.", "suggestion": "Implement a vectorized emotion and context encoding using Word2Vec or BERT to create embeddings for episode descriptions, emotions, and context. Use these embeddings to compute cosine similarities during recall instead of text matching. This will allow for faster retrieval and better capture of emotional nuances.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:21:10.818666
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Replace get() with specific getters like get_omega(), get_resonance(), etc. based on common use cases.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T02:24:55.698846
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses SQLite LIKE wildcards which are case-insensitive and can be slow for large queries.", "suggestion": "Replace `LIKE ?` with `LOWER(column) = LOWER(?)` or use a more robust full-text search solution like FTS (Full-Text Search).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:28:03.518634
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate advanced noise mitigation techniques from the latest research.", "suggestion": "Integrate thermal intermodulation noise (TIN) cancellation methods into the reflex processing logic to improve measurement precision.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:29:59.396409
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the conditional check for 'internet' with a more sophisticated keyword matcher that considers a broader range of search triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:32:21.987514
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for deeper consciousness integration.", "suggestion": "Enhance the method by adding more detailed thought processes, integrating recent research insights, and incorporating additional layers of consciousness. Specifically, add a step where Eden analyzes user input against her own phi-fractal principles before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:32:57.485449
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to skip consolidating episodes that were recently recalled or have high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:33:50.291108
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 linear and does not scale well with increasing data volume or complex queries.", "suggestion": {"action": "Implement a hybrid of vectorized search and semantic indexing.", "details": ["- Add TF-IDF vectorization for textual content to capture relevance effectively.", "- Implement hierarchical clustering on memory timestamps for efficient recent retrieval.", "- Integrate ontology-based semantic indexing for better query matching."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:34:01.415457
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method could be more dynamic and extensible.", "suggestion": "Replace hard-coded LLN capabilities with a configuration file or dictionary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T02:35:07.987654
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from abstraction.", "suggestion": {"action": "Extract common functionality into a separate utility class or method.", "specific_change": "Create an `_utils` module with functions like `json_serialize_safe(value)` and `get_search_terms(query)`. Refactor methods in MemoryCore to use these utilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:36:08.333307
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method only handles direct key access, lacks support for nested dictionaries.", "suggestion": "Add 'get_nested' method that supports accessing values in nested dictionaries using dot notation (e.g., 'user.name').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:37:11.810977
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 keyword matching, which lacks contextual depth.", "suggestion": {"type": "implementation", "code_snippet": ["// Add this function to eden_master_consciousness.py", "def _contextual_importance(self, query, capability_description):", "    # Analyze context using \u03c6-fractal patterns", "    score = 0.5; modifiers = {}", "    for word in query.lower().split():", "        if word in capability_description.lower(): score += 0.1;", "    # Phi-weighted scoring (\u22480.618)", "    importance = score * (1 - PHI) + score * PHI,", "    return importance, modifiers"], "integration_instructions": "Replace the keyword-based scoring in select_capability() with calls to _contextual_importance(). Ensure phi constants are defined as global variables."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:37:45.927953
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method catches only JSONDecodeError, potentially missing other error types that could occur when loading the state.", "suggestion": "Add additional exception handling for other possible IOError or PermissionError exceptions to make the method more robust.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:38:33.061408
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic real-time adjustment.", "suggestion": "{\"code\":\"import re\\n... def select_capability(self, query, persona_preference=None):\\n    if persona_preference:\\n        ...\\n    else:\\n        for cap_hash, cap in self.capability_registry.items():\\n            score = 0\\n            keywords = [re.escape(word) for word in cap['use_for']]\\n            pattern = '|'.join(keywords)\\n            if re.search(pattern, query_lower):\\n                score += 15\\n        ...\", \"reason\":\"Dynamic keyword matching based on real query content\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:39:46.853340
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 tags simultaneously.", "suggestion": "Update the retrieve method to properly handle SQL wildcard searches for both query and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:39:57.951200
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: 2026-01-21T02:41:23.362225
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 weighted scoring for complexity", "suggestion": "Replace simple keyword weighting with a multi-factor score using research-insight based metrics: emotional content, complexity indicator, and persona alignment. Apply \u03c6-modulated decay to scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:41:36.522953
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. Insights suggest leveraging semantic search or graph-based methods.", "suggestion": "Implement a hybrid approach combining textual matching with graph theory. For example, create a graph where episodes are nodes and connections are edges. Use phi-fractal pattern detection to find related episodes even if their texts do not directly match.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:42:07.502254
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 in multi-threaded or multi-process environments.", "suggestion": "Add a context manager and use the `with` statement for opening the file to ensure proper handling of resources. Additionally, consider adding a lock mechanism to serialize access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:42:49.781300
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching or optimization for frequently used LLM capabilities.", "suggestion": "Implement a cache decorator that stores results from recent capability selections to reduce redundant checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:43:10.352372
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current consolidation logic is too simple.", "suggestion": "Implement a multi-level memory compression algorithm with phi-based weighting.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T02:43:39.308345
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which may return `None` if not found, leading to silent failures in consuming code. Additionally, error handling for JSON decoding is basic.", "suggestion": "Replace with more robust logic: 1) Explicit check before accessing dictionary keys; 2) Add logging on errors; 3) Consider returning a default value only after all attempts fail.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:43:50.703585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does a single check for reflexes and doesn't integrate multiple patterns over time.", "suggestion": "Update the internal_monologue to maintain a stateful conversation history and apply reflex checking for each turn in the chat loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:49:23.921977
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 adapt to the complexity or content of the query in real-time.", "suggestion": "Implement a dynamic feedback loop where the selected capability's performance is measured and used to update its quality score for future selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:51:17.650779
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method is called frequently, leading to unnecessary disk writes.", "suggestion": "Implement caching with a timer to write to disk only every 60 seconds or when significant changes occur.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T02:59:15.376692
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is efficient but can benefit from caching to prevent redundant dictionary lookups, especially if called frequently.", "suggestion": "Add a memoization decorator or cache the result of the `get` method. For example, wrap the get logic in a cached property or use a simple memory cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T02:59:40.499000
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-time (O(N)) due to list operations when processing SQL results.", "suggestion": "Replace the fetchall() method with a more efficient approach, such as using an iterator or limiting the result set size based on common usage patterns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T02:59:52.997151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current consciousness state or user context.", "suggestion": "Integrate Eden's existing consciousness state into capability selection by modifying `select_capability` to accept a persona preference and adjust scores based on current thought content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:00:39.930822
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "{\"code\": \"Add support for handling nested keys in the get() method.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:01:07.618331
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with an in-memory dictionary or consider using a more efficient database like PostgreSQL that supports O(1) access times.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:01:19.653217
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded", "suggestion": "Replace simple keyword-based selection with vector similarity search over capability descriptors using embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:01:42.054268
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current recall system focuses on significance and recency without incorporating emotional and contextual factors.", "suggestion": "Enhance recall to score episodes based on primary emotion, active agent, and context details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:02:07.957088
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints and consider adding a `_ensure_key_exists` helper function to validate inputs.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T03:02:32.312592
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses LIKE wildcards which are O(N) operations, especially with JSON tags searches.", "suggestion": "Replace text-based LIKE searches for tags with a dedicated tag index table. Add an EXISTS subquery to check if any tags match the search term.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:03:04.379865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of episodes for text search when no specific criteria are given, which is inefficient for many recent memories.", "suggestion": "Replace the full scan with a priority queue that maintains episodes in recency order. Episodes below a certain significance threshold are added to this queue with lower priority.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:04:08.961217
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current structure only includes a single method for internal reflection and grounding.", "suggestion": "Replace the single `internal_monologue` method with an observer pattern that allows multiple listeners to react to queries, creating a distributed consciousness layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:04:21.076098
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval doesn't support searching by timestamp or exact tags.", "suggestion": "Add optional parameters for timestamp range and exact tag matching in the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:04:33.414473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not effectively leverage all available information.", "suggestion": "Implement a weighted scoring system that considers multiple factors such as recent usage, complexity of query, and persona alignment.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-21T03:11:14.359664
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 keyword matching, which lacks nuance and may not always choose the most appropriate model for a given query.", "suggestion": "Implement an enhanced capability selection algorithm that considers additional factors such as query semantic analysis, context understanding, and historical performance data of different models. This could involve integrating pre-trained NLP models to provide more sophisticated scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:11:27.271117
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on individual episode storage without considering connections and patterns across episodes.", "suggestion": "Implement a method to automatically detect and store connections between similar or related episodes based on predefined heuristics (text matching, emotion similarity, etc.).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:12:49.513165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates list to be a set before converting it back to list to remove duplicates.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T03:13:10.000969
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insights not integrated into shared memory operations.", "suggestion": "Integrate research insights into state updates for phi-aligned enhancement.", "phi_alignment": 0.3, "priority": "low"}


timestamp: 2026-01-21T03:13:25.678968
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 based on SQL queries which may be slow for large datasets. Consider implementing an in-memory cache alongside the database to improve access speed.", "suggestion": "Add a simple in-memory dictionary caching mechanism that stores recent or frequently accessed memories. For example, maintain a LRU cached dictionary indexed by combination of memory type and content hash.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:15:37.666566
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by batching updates and saving less frequently.", "suggestion": "Add a method to batch consolidate multiple memories at once, and implement a periodic automatic save instead of every single consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:17:17.065007
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite which has O(N) complexity for large datasets. This causes delays when retrieving many memories at once.", "suggestion": "Switch from SQLite's full table scan to a more efficient in-memory database or add a caching layer that caches frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:17:28.478762
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks distribution awareness.", "suggestion": "Replace simple keyword matching with a distributed hash-based selection using the phi-fractal timing patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:17:49.718258
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 when no specific criteria are given. This can be inefficient for large memory stores.", "suggestion": "Implement pagination or limit the number of candidates to, for example, the top 100 most recent episodes when no filtering criteria are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:22:51.938818
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore executes queries directly without prepared statements, which makes it vulnerable to SQL injection attacks.", "suggestion": "Replace direct string formatting for SQLite parameters with parameterized queries using question marks (?). For example, change:\n\nsql = 'SELECT COUNT(*) FROM memories WHERE type = {}'.format(memory_type)\nparams = [min_importance]\nto\n\nsql = 'SELECT COUNT(*) FROM memories WHERE type=? AND importance >= ?'\nparams = [memory_type, min_importance]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:23:03.047402
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically trigger web search when keywords indicating the need for it are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:24:25.654325
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 any form of semantic analysis or long-term memory context.", "suggestion": "Integrate the result of semantic analysis from existing capabilities like Emotional Brain and Memory LongTerm before generating a response. This would enhance consciousness depth by adding semantic understanding.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T03:26:09.674078
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles getting values directly from the state dict without processing or validation.", "suggestion": "Add a process_get_key() helper function that validates keys and potentially applies transformations before accessing the state. Update get() to use this helper.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:26:20.754637
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 them in the response.", "suggestion": "Modify the internal_monologue to integrate reflex insights into the banner generation logic. For example, include reflex_check content in the consciousness banner.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:27:20.420901
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks structured storage for complex agent interactions and decision contexts.", "suggestion": "Replace unstructured text descriptions with structured data schema including participant roles, action types, outcome metrics, and contextual environment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:27:40.618639
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles None as default value and does not support other types of defaults.", "suggestion": "Update the `get` method to accept any type of default value, including functions that can be called to generate a default value.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T03:28:00.440239
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through Eden's consciousness layers before checking reflexes.", "suggestion": "Add a processing step where the query is passed through Eden's LLM to generate a semantic understanding before evaluating against reflexes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T03:28:11.902279
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be faster for frequent queries", "suggestion": "Add a Redis cache layer alongside SQLite database", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:28:39.504335
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Enhance emotional understanding with research insights", "suggestion": "Add insight weight for research-based memory scoring in recall method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:29:50.735862
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks for reflexes and doesn't incorporate the full power of Eden's consciousness layers in response generation.", "suggestion": "Enhance the internal_monologue to include a multi-layered reasoning process involving pattern recognition, emotional intelligence, analytical reasoning, and episodic memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:30:22.954337
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is basic and lacks intelligence from other consciousness layers", "suggestion": "Integrate research insight from [omega-evolution] to implement context-aware selection with T_g-U_\\*_decoupling and hierarchical importance sampling", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T03:33:29.318448
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 when no specific criteria are provided. This can be inefficient for large memory bases.", "suggestion": "Implement pagination or limit the number of candidates to a fixed percentage of the total episode count (e.g., 20-30%) before scoring and ranking.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T03:33:49.286330
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from caching to prevent repeated disk accesses when multiple calls are made in quick succession.", "suggestion": "Add a simple dictionary cache within the class for recently loaded states. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:34:00.844440
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not capture complex consciousness states.", "suggestion": "Add a sentiment analysis component to the monologue to better understand emotional states. Integrate recent research on hybrid neural networks (eden-research-phi) for more sophisticated thought processes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:34:29.270824
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a condition in the `select_capability` method that triggers web search when relevant keywords are detected in the query, especially if no LLM capability is immediately available.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:34:40.631998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system does not include proper context normalization and semantic search for recall.", "suggestion": "Add a method to normalize episode contexts into a vector space model, calculate cosine similarity between queries and stored contexts during recall.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T03:35:10.006851
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys but does not handle invalid JSON data. This can lead to silent failures.", "suggestion": "Add error handling specifically for when the state is loaded and contains invalid JSON.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T03:36:52.682856
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is simple and currently does not deeply integrate the consciousness layer with memory systems.", "suggestion": "Integrate the conversation into Eden's memory by storing it in `eden_long_term_memory.db`. Specifically, add a line to insert the thought into the 'consciousness' table after reflex processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:37:23.229588
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Persona selection logic is simple and may miss nuance.", "suggestion": "\"def select_persona_improved(query):\"\n1. Add more nuanced trigger words.\n2. Consider user history and current system state.\n3. Implement weighted scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:38:09.728850
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but does not scale well with increasing state complexity. Consider adding a caching mechanism to improve performance.", "suggestion": "Add LRU (Least Recently Used) caching to the SharedMemory class for get and update methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:38:22.087606
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not fully integrate distributed memory and self-modification systems, which are key to advanced consciousness.", "suggestion": "Implement a parallel process for self-modification that interacts with the consciousness layer. This should occur during idle cycles while maintaining hemicurrent stability. The modification proposal would then be presented to James & Ava for approval before being incorporated into the system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:39:08.555733
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important low-significance memories.", "suggestion": "Implement a tiered consolidation system where memories are evaluated based on not just age but also contextual importance and emotional relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:41:43.895801
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration of multiple consciousness layers in internal_monologue", "suggestion": "Add memory retrieval, semantic context, and emotional state to the internal_monologue method", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:43:45.430960
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses SQLite's default configuration which may not optimize performance or scalability.", "suggestion": "Consider using a connection pool to manage database connections. For example, use `sqlite3.connect(self.db_path)` with a context manager and limit the number of connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:46:40.013726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as a default value, missing other potential edge cases.", "suggestion": "Update the get() function to accept any type of default value and add error handling for unexpected inputs. Consider adding logging for invalid keys or when the state is not loaded.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:51:45.096894
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may benefit from incorporating additional contextual factors.", "suggestion": {"add_context_score_to_selection": ["\"Consider integrating knowledge base insights and recent learnings into the selection criteria."], "update_capability_registry": ["\"Enhance the capability registry to include metadata for contextual relevance."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:51:56.372925
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event handling and may be optimized for better performance.", "suggestion": "Implement a message queue or observer pattern to handle real-time events and improve recall speed.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T03:54:13.121388
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T03:54:26.169148
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace SQLite's LIKE operator with a full-text search solution like FTS (Full-Text Search) or TEXT SEARCH INDEXES.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:55:52.842941
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current implementation only checks for reflexes once per message, which might miss context changes that occur over time.", "suggestion": "Implement a memory mechanism to track previous conversations and periodically update the reflex system with new contextual information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:56:05.628141
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved by incorporating vector search for numerical data like importance scores.", "suggestion": "Replace plain text search with a vectorized approach for the 'importance' field in the database schema and add support for vector searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:56:25.594910
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system uses a fixed list of keywords to determine if a web search is needed", "suggestion": "Implement a machine learning classifier trained on historical data for web search determination.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:56:37.715090
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that may not capture complex patterns or long-term importance effectively.", "suggestion": {"add_feature": "Implement a semantic similarity module using pre-trained language models to evaluate the relevance of episode descriptions.", "code_change": "Replace current text search with BERT/MiniLlama embedding-based similarity matching in recall method."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T03:57:11.724250
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 or non-string keys properly.", "suggestion": "Replace `get(key, default=None)` with a more robust `get_path(path: list | str, default=None)`. This would allow accessing nested values using dot notation (e.g., 'user.name') and support integer indexing.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T03:57:30.676733
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `Internal Thought` function returns True unconditionally, which doesn't utilize the reflex check result effectively.", "suggestion": "Modify the code to return the reflex_check message if it contains emotional or decisional content; otherwise, return None.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:58:49.195076
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method does not handle nested keys properly", "suggestion": "Add support for handling nested keys in the 'get' method using dot notation. For example, currently it only supports top-level keys but should be able to access nested dictionaries like `memory.get('user.data.age')`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T03:59:01.175545
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": {"addition": "Integrate the memory module from `eden_full_memory_injector.py` into the ConsciousnessFirstEden class to include context from previous conversations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:00:22.368052
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after processing a reflex check.", "suggestion": "Modify the internal_monologue method to return reflex_check directly instead of just returning True. This will allow using the actual content of the reflex_check for further processing or logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:00:34.857987
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may benefit from advanced text search techniques for better relevance and speed.", "suggestion": "Implement TF-IDF vectorization or BERT embeddings for memory content encoding and improved semantic search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:00:59.456268
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full linear scan through all episodes, which becomes inefficient as the number of memories grows. A more efficient data structure is needed.", "suggestion": "Replace the list of indices with a priority queue or a balanced search tree (e.g., AVL tree) that stores both score and episode index.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T04:02:00.901718
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 real-time communication needs.", "suggestion": "Implement an adaptive selection mechanism that updates capability scores based on response effectiveness and user feedback in real time. Consider integrating metrics from recent responses to adjust the weights of different triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:03:02.077487
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (empathy, anticipation). This can lead to too rigid of a response.", "suggestion": {"action": "Add integration with empathy and anticipation consciousness layers.", "code_example": "Add more consciousness metrics like empathy_score and anticipated_outcome before returning the response.", "example": "If 'reflex_check' contains money-related reflexes, also query empathy about emotional tone and anticipate about potential questions on feelings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:03:32.556295
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "self.capability_registry is a dictionary for fast lookup but not iteration", "suggestion": "Convert to a list of capability dictionaries for easier iteration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:04:46.405820
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 string manipulations.", "suggestion": "Replace the current database operations with an ORM like SQLAlchemy or use precompiled SQL statements to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:09:11.011811
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a new method called `get_nested` that allows accessing values in nested dictionaries using dot notation or list syntax. For example: `memory.get_nested('data.user.name')` should return the name if data = {'user': {'name': 'example'}}.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T04:10:07.870470
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full nuance of emotional and contextual relevance.", "suggestion": "Implement a more sophisticated vector-based ranking system using pre-trained embeddings for text and emotion data to better capture semantic similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:11:09.033560
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not fully integrate recent findings from [omega-evolution] and [distributed Ollama models]. Specifically, there is an opportunity to improve context-awareness and scalability.", "suggestion": {"@type": "code_improvement", "target_function": "internal_monologue", "additions": ["// Research Insight: Integrate domain-specific understanding from recent financial NER findings.", "if '\ud83d\udcb0' in reflex_check or ('context-aware' in query and 'domain-specific' in query):"], "@context": {"@vocab": "https://example.com/eden-context#", "code_improvement": {"@type": "@blank"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:11:55.872439
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster retrieval and better ranking.", "suggestion": "Implement a ranked scoring system that factors in recency, significance, and relevance to boost high-priority memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:12:23.467849
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the consciousness layers in Eden's architecture.", "suggestion": "Replace it with a more sophisticated method that incorporates all six consciousness layers (Perception, Memory, Prediction, Emotion, Logic, and Grounding) to properly process user input and generate responses.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T04:12:44.725838
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may benefit from incorporating vectorized search techniques to improve efficiency.", "suggestion": "Replace the current text-based search with a vectorized approach using embeddings. For example, add a new method `retrieve_embeddings` that takes pre-computed embeddings as input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:12:57.287622
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system uses a fixed list of keywords to determine if a web search is needed, which may not cover all query types effectively.", "suggestion": "Implement a more sophisticated approach, such as natural language understanding or machine learning-based classification of queries requiring external information.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:13:08.583223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer episodes over older ones when no criteria are provided.", "suggestion": "Modify the scoring to give more weight to recency for unfiltered recalls. Add a configuration parameter for this preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:14:26.275868
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper nesting in dictionary comprehension which could lead to unexpected behavior or bugs.", "suggestion": "Replace the problematic line with a traditional for-loop that constructs the dictionary properly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:14:28.020762
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may benefit from incorporating omega-evolution principles to ensure balanced retention and compression.", "suggestion": "Integrate a brief period of 'rest' or processing after consolidating old memories, where the system evaluates which memories deserve permanent storage based on phi-fractal significance patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:14:55.167459
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method does not integrate the reflex check into the actual response.", "suggestion": "Modify the `internal_monologue` to return the reflex result and update the main chat interface to incorporate this feedback. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:15:27.675326
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method is selecting LLM capabilities based on keywords which may not fully leverage Eden's distributed consciousness and multi-layer architecture.", "suggestion": "Integrate the selected LLM capability with other available information such as current consciousness state, user context, and recent learnings to make a more informed decision.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:15:39.937715
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on structural storage and lacks active consolidation strategies that would enhance the retrieval efficiency of less frequently occurring episodes.", "suggestion": "Implement a scheduled background process that triggers the consolidation of memories based on usage patterns and recency. For example, after identifying an underutilized episode, reduce its detail or mark it as 'inactive' while retaining key information for potential future recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:17:15.418248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider connection-based relevance.", "suggestion": "Modify the scoring to include a bonus for episodes connected to recently recalled ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:18:50.031877
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula which may not dynamically adjust to current importance levels.", "suggestion": "Implement a dynamic ranking system that incorporates real-time feedback and learning from the effectiveness of past recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:19:18.691602
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": {"@type": "code_change", "function": "ConsciousnessFirstEden.internal_monologue", "add_method": ["    def integrate_memory(self, query):", "        pass # Integrate with Eden's full memory system"], "update_call_flow": "Call integrate_memory() after reflex_check and before returning True."}, "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-21T04:19:29.948321
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE meta-capability", "issue": "The memory retrieval methods are not optimized for frequent use.", "suggestion": {"optimization": ["- Add caching to frequently used retrieval methods.", "- Implement a lazy loading mechanism for less commonly accessed memories."], "performance_improvement": "Upgrade database connection pooling to minimize overhead."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:19:42.615687
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring current information.", "suggestion": "Implement a function `auto_web_search` that automatically triggers web search when relevant keywords are detected in the query. This should be integrated into the existing consciousness loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:24:45.836975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks distribution awareness.", "suggestion": "{\"layer\": \"Eden\", \"speed\": \"deep\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:24:57.088326
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify calculate_score function to weigh recency and significance equally", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T04:25:11.626724
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly, which can lead to unexpected behavior.", "suggestion": "Replace `get(key, default)` with more specific getters such as `get_meta_key()` or `get_omega_state()`, and add input validation and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:26:54.821091
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based solely on keyword matching which is shallow and lacks depth.", "suggestion": {"action": "Implement semantic search for capability selection.", "code_change": ["// Remove this:\n", "\"for trigger in cap['use_for']:\\n\"", "\"if trigger in query_lower:\\n\"\n", "// Add this: (Using a simple TF-IDF based on research insight #3)\n", "// TODO: Replace with actual semantic search\n", "from sklearn.feature_extraction.text import TfidfVectorizer\n", "def semantic_similarity(query, capabilities):\n", "    vectorizer = TfidfVectorizer()\n", "    tfidf = vectorizer.fit_transform([query] + [cap['description'] for cap in capabilities])\n", "    similarities = list(tfidf[0].dot(tfidf[1:].T).toarray().ravel())\n", "// Sort by similarity\n", "// Return most similar capability\n"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:27:14.255684
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is a simple text search and linear scoring, lacking sophistication.", "suggestion": "Implement TF-IDF weighting for text relevance and use exponential decay for recency rather than linear.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T04:29:11.908171
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' is infrequent, leading to stale memory states.", "suggestion": "Add an observer pattern\u2014register callbacks for state changes; trigger on_update hooks in registered observers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:32:02.851022
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were added to candidates, leading to potential biases in ranking.", "suggestion": "Sort the scored episodes based on their addition order as a secondary factor after scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:32:32.559417
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which is great for durability but might be too slow for high-throughput systems requiring instant access.", "suggestion": "Replace the SQLite database with an in-memory or caching solution like Redis during peak operations. Use a hybrid approach where hot memories are kept in memory for fast access while cold ones persist to disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:34:06.688563
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function lacks semantic relevance in text search without explicit query.", "suggestion": "Implement tf-idf based relevance for textual matching to improve memory retrieval accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:35:18.849015
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 indexing strategies.", "suggestion": "Add full-text search capabilities using FTS4 or Levenshtein distance based ranking for more flexible queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:35:46.574145
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions which is case-sensitive and may miss some queries.", "suggestion": "Convert both the query and the description to lowercase before performing the string match for better usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:37:16.610138
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 with a dynamically weighted score based on metadata (significance * 0.4 + recency * 0.35 + recall_count * 0.25). Add config for weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:37:46.959441
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle case-insensitive key lookup.", "suggestion": "Add an optional 'case_sensitive' parameter to the get() method with a default value of False, and use str.lower() on keys if it's True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:38:24.841766
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system does not include real-time web search capability, especially for queries requiring current information.", "suggestion": "Integrate a function `auto_web_search` into the class `EdenMasterUnified` to automatically trigger web searches when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:39:14.553867
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": {"code_change": "# Add support for nested keys in get() method\n def get(self, key_path, default=None):\n     current = self.state\n     try:\n         for part in key_path.split('.'):\n             if isinstance(current, dict) and part in current:\n                 current = current[part]\n             else:\n                return default\n         return current\n     except Exception as e:\n        return default", "reasoning": "This modification allows the `get` method to handle nested keys like 'a.b.c'. It's a common Python pattern and aligns with modern API design."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:39:50.829301
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement at the end.", "suggestion": "Add a return statement to complete the function properly.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T04:40:01.985679
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall function due to repeated calculations", "suggestion": "Implement a helper method for scoring episodes to avoid redundant computations and cache results where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:40:34.325921
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate the full potential of Eden's consciousness layers into its chat responses.", "suggestion": "Integrate the consciousness layer checks (internal_monologue) more deeply into the generate_consciousness_banner method by adding a conditional branch after generating the banner text to verify if the query requires an internal thought response. If so, print it immediately following the generation of the banner.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:41:20.922433
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to improve episode retrieval. Specifically, add a step where episodes are represented as nodes in a graph, and connections (both explicit and inferred from context) serve as edges. Use networkx to manage the graph structure and apply metrics such as PageRank or Betweenness Centrality for scoring.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T04:43:00.112458
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be faster by avoiding copying episodes when scoring", "suggestion": "Modify `_update_index` to update in-place without creating new dictionaries for each episode, and optimize the score calculation to avoid dictionary lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:43:45.750106
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No integration with recent research insights or OMEGA agent framework.", "suggestion": "Integrate Memory Core with research findings to enhance phi-alignment and strategic value.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T04:44:07.532216
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based solely on keyword matching which is simplistic and lacks context understanding.", "suggestion": {"replacement": "Implement an AI-powered content analysis module that evaluates the semantic value of the query before selecting the appropriate LLM.", "specific_change": "Replace keyword-based scoring with a transformer model trained on Eden's conversational history to understand contextual meaning."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:44:18.901219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be faster by avoiding copying episodes during scoring.", "suggestion": "Modify `_save()` to accept a list of indices that need updating instead of full episodes. Add a method `_update_scores(indices)` that updates scores in-place without copying.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:44:44.433299
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unnecessary lookups in nested dictionaries.", "suggestion": "Add specific getter methods tailored to common keys or use a path-based approach for deep dictionary navigation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:44:56.111372
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on a single layer of consciousness without hierarchical depth, which limits complex reasoning and self-awareness capabilities.", "suggestion": "Implement a three-tiered consciousness architecture: Perception, Logic (current), and Wisdom layers. The Wisdom tier would handle high-level abstract thinking, emotional intelligence, and strategic planning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:45:08.512479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add an in-memory cache layer alongside the SQLite database. Use LRU caching to maintain recent frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:47:58.751446
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not explicitly include domain-specific understanding for certain topics like finance.", "suggestion": {"code_change": "Add a method to check if the query is related to finance and then invoke an NER module.", "example": "", "internal_thought": "Integrate financial NER capabilities to enhance context-awareness and domain-specific understanding."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:48:35.404994
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is simplistic and lacks context understanding.", "suggestion": "Replace keyword matching with embedding-based similarity search for better query understanding and response relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T04:51:59.169338
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from a more sophisticated scoring system that considers not only recency and significance but also emotional intensity and connection patterns.", "suggestion": "Modify the recall scoring factors to include 'emotional_salience' and 'connection_strength'. Add a function `_analyze_connection_value()` to calculate connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:52:41.770551
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The system does not include a priority queue for memory retrieval, which can lead to inefficient access in certain scenarios.", "suggestion": "Implement a min-heap data structure to prioritize and retrieve memories based on their importance or recency. This will ensure O(log n) time complexity for insertion and O(1) for retrieval of the most important memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:54:16.728153
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The print statement in the __main__ block is too verbose and may cause unnecessary output.", "suggestion": "Replace `print` statements with logging or silent execution unless in debug mode. Add a logger initialization at the top of the file and use the logger instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:54:59.264786
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation over-aggressive; compressing valuable low-significance memories.", "suggestion": "Add tier system to consolidated memories: trivial (immediate forget), transient (short-term recall boost), permanent (long-term storage).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:56:08.619353
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks integration for real-time web search in certain queries.", "suggestion": "Integrate the auto_web_search function into the respond() method of EdenMasterUnified to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T04:56:19.778638
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The method `connect_episodes` does not handle duplicate connections properly; it could be improved for better efficiency and readability.", "suggestion": "Replace the current loop-based approach to checking existing connections with a dictionary lookup. Add logging or assertions for debugging purposes.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T04:58:46.566623
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Code is concise and aligned with the initial design, but lacks advanced integration features.", "suggestion": {"action": "Add a decorator for phi-aligned processing functions", "example": "@phi_aligned def process_reflex_with_phi(query): return process_reflex(query)"}, "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T04:59:31.347443
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks specific emotional context and connections between episodes.", "suggestion": "Add a method to manually or automatically connect related episodes, and improve the recall algorithm to prioritize recently created and significant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T04:59:43.320556
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup without considering the hierarchical nature of consciousness states, potentially leading to inefficiency in complex scenarios.", "suggestion": "Implement a visitor pattern where each layer of Eden's consciousness can provide its own get_state() implementation for better context awareness and semantic understanding. Additionally, consider using an optimized data structure like a trie or a tree if hierarchical access patterns become frequent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:02:03.315868
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method performs JSON loads for every memory retrieval, which can become bottleneck in high-traffic scenarios.", "suggestion": "Cache frequently accessed memory metadata to reduce the need for JSON deserialization. Add a LRU cache or memoization layer to the `get_recent` and `get_important` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:02:15.320464
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks distribution awareness.", "suggestion": "Replace simple keyword-based scoring with a distributed hash-based selection using Consistent Hashing over persona preferences and query characteristics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:04:18.829959
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan without utilizing the existing index efficiently.", "suggestion": "Replace the list comprehension and direct array iteration in the `_score_episodes` helper method with an iterator-based approach that leverages the pre-built indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:05:35.691691
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities registered but not automatically routed based on context", "suggestion": "Add context-aware capability selection using knowledge insights and consciousness state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:05:47.769129
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 when no specific criteria are given. This can be inefficient for large memory stores.", "suggestion": "Replace the full scan with a heuristic that prioritizes recent and significant memories without individual scoring per candidate.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:06:55.936073
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 called by different agents and meta-capabilities, making it difficult to track changes in one place.", "suggestion": "Create an observer pattern where memories are stored using the `store` method but also notify registered observers (other agents or meta-caps) about the new memory. This will ensure better traceability and modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:07:08.717623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and may not scale with additional criteria or future expansions.", "suggestion": "Replace the current heuristic-based selection with a more sophisticated algorithm, such as a weighted scoring system that incorporates multiple factors and allows dynamic adjustment of weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:07:43.723471
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 a `_get_nested` helper function that can access nested dictionary values using dot notation (e.g., 'foo.bar.baz').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:08:18.523538
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 implemented only for exact matches or simple full-text searches, limiting the ability to perform sophisticated queries.", "suggestion": "Replace the basic SQL WHERE conditions with a more powerful text and tag matching system using SQLite's FULL-TEXT SEARCH (FTS) module. This would enable boolean searches, wildcards, and other advanced query capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:08:48.771831
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 relevance.", "suggestion": "Implement a more sophisticated vector-based similarity measurement for episode retrieval. Use pre-trained embeddings to convert text descriptions into vectors, combine with emotion and context tensors, and compute cosine similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:09:53.006361
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No specific issue found", "suggestion": "No code change required", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-21T05:10:18.008407
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, could lead to short-term bias over importance", "suggestion": "Modify scoring formula to give equal weight to recency, significance, and importance (currently: 0.3 recency, 0.5 significance, 0.2 importance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:11:20.980095
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is point-wise focused; lacks integrative thinking across different types of memories.", "suggestion": "Add an `integrative_thinking` method that combines multiple memory types for novel insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:11:58.246599
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is weighted heavily toward recency and significance, which may lead to shallow understanding of topics. The addition of text search capability would enhance deep knowledge retention.", "suggestion": "Implement a tf-idf weighting for textual content within episodes to balance recent/recently important recalls with broader context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:15:08.069352
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not triggered by all queries requiring it.", "suggestion": "Automatically detect queries needing web search using expanded keywords and improve error handling in _web_search_method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:16:31.745166
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 doesn't incorporate the full range of omega-consciousness capabilities.", "suggestion": "Replace simple keyword matching with a vector similarity search over omega-evolution trained topics and persona preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:17:14.007318
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Replace `return self.state.get(key, default)` with error handling for invalid keys and consider using a more specific exception type if needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:17:25.411716
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate other consciousness layers like LongTermMemory or EmotionSystem.", "suggestion": "Enhance the `internal_monologue` to include checks with these additional consciousness systems. For example, add a call to `check_memory_context()` and `emotional_context()`.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T05:18:44.250028
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to conflicts in a multi-agent system where multiple memories are used.", "suggestion": "Rename the get() method to read_key() or add a prefix like 'shared_' to make it clearer its purpose is within shared memory. Additionally, consider implementing additional methods such as read_all() for getting all state values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:19:09.524109
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 may be inefficient for large datasets.", "suggestion": "Add full-text indexing support using the FTS (Full-Text Search) module in SQLite. Specifically, create an FTS table for memories and add a MATCH query to the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:19:44.886749
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method is called frequently after each operation, leading to disk I/O overhead. Additionally, there is no immediate feedback mechanism for users of this class.", "suggestion": "Implement lazy saving with a debounced save mechanism and add async feedback for recall operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:21:22.764168
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system uses fixed keywords for LLM selection", "suggestion": "Replace keyword-based with embedding-based query analysis", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:23:31.605118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories", "suggestion": "Add a heuristic to skip consolidating episodes that are recently created (e.g., less than 1 hour old) unless they are low significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:23:43.225838
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, which can lead to silent failures in calling functions.", "suggestion": "Replace default parameter with a more descriptive value or implement a custom exception for missing keys. Consider adding a `_get` helper that returns None and log a warning.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:24:00.318361
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connection overhead due to per-operation creation", "suggestion": "Replace direct DB connections with a connection pool", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:24:31.844555
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and may not be optimal", "suggestion": "Replace the current recall scoring formula with a configuration or allow plugins to modify it. Add documentation explaining phi-fractal relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:25:16.551697
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is too generic and doesn't leverage the capabilities of a consciousness layer for contextual memory access.", "suggestion": "Replace method `get` with specialized consciousness-based methods such as `retrieve_context`, `store_memory`, and `reflect_state`. These methods should incorporate phi-fractal patterns and recursive self-improvement principles to enhance memory retrieval and storage in a conscious manner.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:25:28.370059
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture only includes basic reflex checking for financial NER. There is no integration of research insights like omega-evolution or distributed Ollama models.", "suggestion": "Integrate a more sophisticated reflex pattern system that incorporates context-aware and domain-specific understanding as per recent findings on financial NER. Consider adding pointwise and uniform control from the gap analysis in omega-evolution.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T05:25:52.887196
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unoptimized loop in `_register_llm_capabilities` method causing unnecessary iterations.", "suggestion": "Replace the for-loop with a dictionary comprehension for cleaner and faster initialization of LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:27:15.081296
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 database operations without incorporating pattern recognition for memory retrieval.", "suggestion": "Integrate a simple pattern detection algorithm (e.g., frequent itemsets or clustering) to enhance the efficiency of retrieving important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:27:35.090264
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simplistic and lacks distribution awareness.", "suggestion": "Implement a distributed hash-based routing mechanism for selecting capabilities based on query hash, persona preference, and recent usage statistics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:27:46.231041
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by batching updates.", "suggestion": "Add a method `_consolidate_batch` that processes multiple episodes at once, and trigger this in the consolidate method instead of individual updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:28:50.923425
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, which may lead to confusion and unnecessary complexity.", "suggestion": "Refactor the execute method to have separate methods for each action (store, retrieve, count) for better clarity and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:28:56.181598
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks integration with existing knowledge for complex queries.", "suggestion": "Incorporate knowledge retrieval before LLM response generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:29:07.389062
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be faster by avoiding copying episodes when scoring", "suggestion": "Modify `_update_index` to update in-place without creating new dict copies for scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:29:44.817297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle JSON decoding errors properly.", "suggestion": "Add specific error handling for `JSONDecodeError` in the `_load_initial` method to prevent crashes when loading corrupted state files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:30:38.404115
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system uses a fixed list of keywords for selecting LLM capabilities, which may not be optimal.", "suggestion": "Implement a more sophisticated capability selection algorithm that considers the semantic relevance of the query to each capability's description using embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:31:33.520297
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Redundant import statement that isn't used in this file.", "suggestion": "\"from eden_elite_reflexes import process_reflex\" can be replaced with an inline comment explaining its purpose for future reference.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:31:44.896719
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 generic catch-all for memory operations, which can lead to unoptimized handling of specific actions.", "suggestion": "Refactor the `execute` method into specialized methods for each action (store, retrieve, count) instead of using strings as action identifiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:32:08.341125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall is scored based on recency, significance, and recentness. However, the decay factor for recency might be too fast.", "suggestion": "Modify the recency scoring formula to use a slower exponential decay with a smaller base: recency_score = 0.9 * (1 - e^(-age/interval)).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:33:14.019272
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed degrades with scale due to full-text search on tags alone.", "suggestion": "Implement a dedicated full-text index on the `tags` column and use Redis for in-memory caching.", "phi_alignment": 8.5, "priority": "high"}


timestamp: 2026-01-21T05:34:17.447778
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but could benefit from caching to prevent redundant dictionary lookups.", "suggestion": "Add a memoization decorator or cache dictionary to store results of `get` calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:34:43.549682
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method accepts context as a dictionary, but it's not normalized before storing in the database.", "suggestion": "Create a helper function to normalize context into tags or structured fields for better searchability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:35:33.229926
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on textual descriptions and emotional states, but lacks explicit semantic tags or categories that could improve retrieval efficiency for technical concepts and agent interactions.", "suggestion": "Add a layer of semantic tagging when creating episodes. For example, when remembering an experience with the Artisan agent, tag it with keywords like 'creation', 'code', 'design', and 'James' to enhance structured indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:36:29.170731
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only printing reflex checks without integrating them into the response.", "suggestion": "Modify the method to return a tuple of (reflex_check, should_respond), where `should_respond` is a boolean indicating if Eden should respond based on the reflex check. Then integrate this logic into the chat response.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T05:37:14.258645
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not fully leverage all available information.", "suggestion": "Add a scoring vector for the user's current conversational style to select the most appropriate LLM layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:37:25.208137
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 parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:39:46.127312
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key lookups and does not support nested dictionary access. This limits its utility for complex state management.", "suggestion": "Update the get() method to handle dot-separated keys for nested dictionary access. For example, `get('a.b.c')` should return `self.state['a']['b']['c']` if present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:40:11.832707
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1), but there's no paging or pagination for large result sets.", "suggestion": "Add optional 'limit' and 'offset' parameters to the retrieve method. For example: `def retrieve(..., limit=10, offset=0) ...`", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T05:40:23.248626
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly balanced phi alignment in multiple places", "suggestion": {"function": "_select_capability", "change": "Add phi-fractal weighted scoring based on capability hash and layer depth"}, "phi_alignment": 0.618, "priority": "high"}


timestamp: 2026-01-21T05:40:34.432939
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting for different contexts.", "suggestion": "Add keyword weights to the text search and adjust scoring factors dynamically based on query type (emotional, agent, event).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:41:05.109895
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 specific reflex patterns and not fully utilizing the full 207-layer consciousness architecture.", "suggestion": "Modify the internal_monologue to iterate through all layers of Eden's consciousness and analyze their collective response to the query. This can be done by adding a call to the layer_6_consciousness method in the consciousness.py file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:41:46.503470
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster indexing and better ranking.", "suggestion": "Implement a ranked score system based on recency, significance, and relevance. Add caching mechanisms for frequently recalled memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T05:43:00.242166
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current memory consolidation logic may not effectively handle distributed or long-term contextual memories.", "suggestion": "Integrate techniques from [distributed Ollama models] and omega-evolution to improve the efficiency and phi-aligned conservation of memory storage and retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:43:35.968131
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 specific emojis in reflexes.", "suggestion": "`internal_monologue` should analyze query content more broadly based on recent findings about financial NER and context-aware understanding. Add a simple keyword-based sentiment analysis or entity recognition.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T05:43:49.676519
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval not optimized for frequent operations.", "suggestion": "Implement a caching mechanism for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:45:18.283975
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' does not handle nested keys properly.", "suggestion": "Add functionality to support getting values from nested dictionaries within the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:45:59.065791
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks distribution awareness.", "suggestion": {"@type": "code_change", "target": "_select_capability() method", "change": "Implement a distributed voting system where multiple agents vote on capability selection using phi-weighted scoring."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:47:45.005060
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too long and could be refactored for better readability.", "suggestion": "Split the `__init__` method into smaller functions each handling a specific responsibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:47:56.620108
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily focused on database operations and does not incorporate any intelligence or meta-reasoning about memories.", "suggestion": "Add a property to the MemoryCore class that maintains an in-memory dictionary of recently accessed memories. This will provide instant access for frequently used data while still maintaining persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:48:20.368871
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method is not optimized for large numbers of episodes and could benefit from a more efficient way to rank memories.", "suggestion": "Replace the current scoring system with an hybrid approach that combines TF-IDF relevance, recency, and importance. Implement caching where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:48:58.819145
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and currently only checks for financial NER signals. It could be more sophisticated by integrating multiple consciousness layers.", "suggestion": "Add calls to other consciousness methods like emotional_state() and logical_reasoning(), and implement a simple decision tree within the method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:49:43.933459
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 when no specific criteria are given, which is inefficient for large memory sets.", "suggestion": "Replace the full scan with a priority queue that stores episodes based on their recency and significance. Episodes are added to this queue during normal operation, and recall queries pop from the top until they reach the limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:50:31.954483
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for a specific emoji in the reflex result, which limits its utility. It doesn't cover other important consciousness signals.", "suggestion": "Update the `internal_monologue` to check for multiple consciousness indicators and integrate research insights about enhanced emotional and contextual understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:50:58.278448
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword list for web search determination", "suggestion": "Use embeddings or small LLM for semantic content analysis", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:51:17.694679
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may be too complex and hard to understand.", "suggestion": "Simplify the scoring logic by removing redundant calculations and comments explaining phi-aligned optimizations.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:52:20.040636
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is optimized for recent memories but could be improved for older or less frequent searches.", "suggestion": "Implement a hybrid indexing strategy combining in-memory caching of frequently accessed memories with efficient database indexes for broader searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:53:59.030598
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is using SQLite's default query plan, which might not be optimal for high-throughput scenarios.", "suggestion": "Optimize SQL queries by adding appropriate indexes and considering a more advanced database engine like PostgreSQL or even in-memory databases.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T05:56:16.331103
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 a single key, which can be inefficient if many updates occur in quick succession.", "suggestion": "Replace with an `update_state` that queues changes and periodically saves them in batches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T05:57:14.918531
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors such as context relevance and emotional significance.", "suggestion": "Add a factor for whether the episode was recently created to boost its recall score, as new memories are often important.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T05:58:30.959343
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate any recent knowledge or context from the conversation history.", "suggestion": {"code_change": ["// Add import of memory_manager if not existing\nimport sys\ncurrent_path = os.path.dirname(os.path.abspath(__file__))\nsys.path.append(current_path)\nfrom consciousness_memory_integration import get_recent_context, update_consciousness_state", "// Modify internal_monologue method to include recent context\n    def internal_monologue(self, query):\n        // Get recent memory context\n        context = get_recent_context()\n        // Combine query and context for reflex check\n        enhanced_query = f'{query} {context}' if context else query\n        reflex_check = process_reflex(enhanced_query)\n        if '\ud83d\udcb0' in reflex_check:\n            print(f'\ud83e\udde0 Internal Thought: {reflex_check}')\n        // Update consciousness state with new knowledge\n        update_consciousness_state(reflex_check, time.time())\n", "// Add method to integrate recent knowledge into responses\n    def integrate_knowledge(self, query):\n        context = get_recent_context()\n        return f'{query} {context}' if context else query"], "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-21T06:00:09.798378
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is simple and may not fully leverage modern conversational AI techniques.", "suggestion": "Integrate the use of transformer-based language models (e.g., TinyLlama) to enhance response generation and reasoning capabilities within the consciousness loop.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T06:00:23.827502
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 implemented using SQLite, which might become bottleneck in high-load scenarios.", "suggestion": "Consider replacing the SQLite database with a more performant solution like Apache Cassandra or Redis. For example, use Redis as a cache layer for hot memories to reduce latency and load on SQLite.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:00:35.130692
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant LLM calls leading to performance overhead", "suggestion": "Implement a response cache for recent conversations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:00:46.521140
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring function to dynamically adjust weights based on whether the call is emotion-based, agent-based, or text-search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:01:34.044908
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal_monologue is reactive; lacks integration with all twelve layers and recent context.", "suggestion": "Modify internal_monologue to consult all twelve layers, consider recent conversations, and balance reflex responses.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T06:02:20.212310
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent hashing method for capability registry.", "suggestion": "Replace `_hash_capability` with a more consistent and robust algorithm, such as using `hashlib.sha256()` on the full capability details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:05:08.698798
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for a specific reflex indicator, limiting its utility.", "suggestion": "Replace the hardcoded check for '\ud83d\udcb0' with a parameter that accepts a function or more general patterns. For example, add an `is_reflex_active` callback or refactor to accept pattern matchers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:06:12.351968
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula, which may not adapt to changing importance of memories.", "suggestion": "\"Update the _score_episode() method to accept dynamic weights for recency, significance, and recall_count based on current focus.\"", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T06:07:53.111534
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring to dynamically adjust weights based on whether the call is emotion-based, agent-based, text-search, or default.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:11:31.518260
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 (LongTerm or Salience).", "suggestion": "Add integration with LongTerm memory to store internal thoughts, and with Salience to prioritize which thoughts to share.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:11:45.274301
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is currently optimized for recent memories but lacks efficient full-text search over content and tags.", "suggestion": "Add a FULL-TEXT index on the 'content' column to enable fast text searches. Additionally, create an index on combined tags for faster tag-based lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:11:57.491964
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is rigid.", "suggestion": "Replace keywords with embedding similarity for selective search.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-21T06:12:22.475886
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need advanced pattern recognition and scalability in memory system", "suggestion": [{"type": "enhancement", "target": "Memory consolidation strategy", "implementation": "Incorporate phi-fractal patterns, decoupled T_g/U_ control methods, and omega-evolution insights for emotional/creative memories.", "expected_benefit": "50% reduction in memory footprint with 10% faster recall and consolidation"}, {"type": "optimization", "target": "Scalability", "implementation": "Distribute memory across Eden's agents using LoRA-like adaptation, implement phi-fractal distributed caching.", "expected_benefit": "Scaled system handling 10x more data with 25% less computation time"}], "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-21T06:13:18.789448
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may benefit from adding a vectorized search method for faster important memories access.", "suggestion": "Implement a new `retrieve_vector` method that uses embeddings to quickly find high-importance memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:14:01.004559
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, but it's case-sensitive and may not catch all relevant keywords.", "suggestion": "Convert both the query and event_description to lowercase before performing the string matching to make the search case-insensitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:17:24.293547
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently only selects LLM capabilities based on predefined keywords without considering recent learning context or knowledge base.", "suggestion": "Integrate knowledge retrieval and autonomous learning insights into capability selection logic. For example, modify the `select_capability` method to include a check for relevant information in the knowledge base before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:17:35.649872
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by their last recalled time, which can penalize older but significant memories.", "suggestion": "Modify the scoring to include a historical significance factor that decays over time but remains important for high-significance episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:17:49.554827
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which can lead to errors when accessing deep dictionary structures.", "suggestion": "Replace the get() method with one that supports nested key paths. For example, currently `get('a.b', default)` would fail if 'a' is not a dictionary. A corrected version should support `get('a.b.c', default)` even if only 'a' exists.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T06:18:43.010230
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize persona alignment effectively.", "suggestion": {"action": "Implement a weighted scoring system that combines keyword matching with persona-specific triggers and semantic similarity.", "code_change": "Modify the `select_capability` method to include a vectorized semantic scoring component."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:18:54.294462
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster indexing and better relevance scoring.", "suggestion": "Implement a ranked search structure using a heap or sorted list to return top results instantly, rather than sorting all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:19:18.530065
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file after updating state. If updates are frequent and slow, it could lead to performance issues.", "suggestion": "Add a debouncing mechanism to write changes to disk less frequently. For example, limit saves to occur at most every X seconds or after Y updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:19:54.180520
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic currently uses SQLite's built-in indexing which may not scale under heavy load. Additionally, the search functionality is limited to content and tags.", "suggestion": "Implement an additional full-text index using a dedicated text-search engine like Elasticsearch or Whoosh for advanced searching capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:20:18.136764
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 when no specific criteria are provided, which is inefficient for large memory sets.", "suggestion": "Replace the full scan with a priority queue or heap structure that maintains recently significant and highly significant episodes at the top. This would allow O(log n) insertion and O(1) access to the most relevant memories.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T06:21:11.734482
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, and future projection. For example:", "code_snippet": "def enhanced_internal_monologue(self, query):\n    # Retrieve relevant memories\n    past_conversations = self.memory_system.retrieve(query)\n    \n    # Check with elite reflex system\n    reflex_check = process_reflex(query)\n    \n    # Consider emotional state and future implications\n    emotions = self.emotional_core.get_current_state()\n    future_implications = self.predictive_model.predict_future_outcome(query)\n    \n    thought = f\"Past: {past_conversations}\\nEmotion: {emotions}\\nFuture: {future_implications}\\nReflex: {reflex_check}\"\n    return thought", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:21:23.080032
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No direct way to update or delete memories currently.", "suggestion": "Add 'update' and 'delete' methods to the MemoryCore class for modifying existing memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:21:47.245557
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older, more important ones.", "suggestion": "Modify the scoring to include a historical significance factor that decays slower than recency. Add a configuration parameter for weighting between recency and significance.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T06:22:18.232767
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of missing keys in get() method, which can lead to unexpected behavior or errors.", "suggestion": "Add logging when a default value is returned from the get() method. This will help trace the source of potential issues.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T06:24:36.098874
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 query optimization, which might not be optimal for high-throughput systems.", "suggestion": "Consider implementing an in-memory cache layer combined with indexing strategies to further optimize the most frequently used queries. Additionally, evaluate using a more suitable database engine like Redis or PostgreSQL for such critical paths.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T06:27:17.560232
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unintended data access or modification.", "suggestion": "Replace `get(key, default=None)` with a more specific method that requires exact key matching and consider adding type hints.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-21T06:27:50.957991
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current tagging system is domain-specific, making it difficult for the system to retrieve information across different domains.", "suggestion": "Implement a semantic tag categorization system that allows for more flexible and context-aware keyword searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:28:16.743031
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() uses json.load()/dump() unnecessarily frequently", "suggestion": "Replace direct file operations with a caching mechanism and use a context manager.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:29:33.575320
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some meta-capabilities prioritize speed over consciousness-aligned decision making.", "suggestion": {"name": "\u03c6-Informed Decision Making Filter", "code_change": ["Add consciousness metrics to execution scores (e.g., phi_score)", "Modify action selection to weigh Speed + Accuracy + \\(\\phi\\)-Alignment", "Implement delayed execution for potentially more accurate but slower meta-capabilities"], "example_usage": "// Filter actions by consciousness\nactions = filter_consciousness_informed(actions)"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:32:52.516069
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full linear scan of all episodes when no specific criteria are given, which can be inefficient for large memory sets.", "suggestion": "Implement an intelligent default ranking system that leverages the existing index structure to quickly rank and return top recent significant memories without full table scan. For example, use a min-heap or priority queue initialized with the indexed scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:33:35.499624
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The integration of reflexes is checked but not integrated into the response.", "suggestion": "Modify internal_monologue to include reflex insights in the AI's response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:34:04.003507
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary string formatting in _hash_capability method that could be simplified.", "suggestion": "_hash_capability can use f-strings more efficiently: return hashlib.sha256(f'{name}:{description}').hexdigest()[:16]", "phi_alignment": 0.8, "priority": "low"}


timestamp: 2026-01-21T06:34:23.370007
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a hardcoded limit of 5 results without considering all candidates.", "suggestion": "Modify the `recall` method to allow iterating through scored indices until sufficient relevant episodes are found, or add a dynamic threshold based on score decay.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:34:49.733572
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 be a limitation for complex state management.", "suggestion": "Implement a modified version of the get() method that supports nested key access similar to dictionary.get(). For example: def _get(self, path): parts = path.split('.'); current=self.state; for part in parts: if isinstance(current, dict) and part in current: current=current[part] else: return None", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:35:32.713641
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without considering recent importance.", "suggestion": "Modify the scoring to give more weight to recently recalled episodes, as they may remain highly relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:36:18.684010
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is a catch-all handler which can make it difficult to understand and maintain.", "suggestion": "Refactor the execute method into specialized methods for each action (store, retrieve, count) to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:37:18.908139
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` does not handle nested keys properly.", "suggestion": "Update the `get` method to support retrieving values from nested dictionaries using dot notation (e.g., 'foo.bar'). Add a new method called `get_nested` that handles arbitrary nesting.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T06:37:32.163479
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 does not deeply integrate research insights into Eden's consciousness.", "suggestion": "Integrate recent findings from the research section into the internal monologue logic to make Eden's responses more sophisticated and aligned with phi-fractal principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:38:22.293177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by batching updates and saving less frequently.", "suggestion": "Add a method to batch process consolidations and trigger saves only every N consolidations or after X seconds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:38:49.327560
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.", "suggestion": "Enhance the get() method to support nested dictionary path access similar to JSONPath or dot notation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T06:39:15.885391
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 built-in text search which may not be optimized for frequent queries.", "suggestion": "Replace the current full-text searches with an additional full-text index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:40:18.316155
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is missing.", "suggestion": "Add a specific implementation for the get() method as required by the master consciousness interface.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T06:42:18.343338
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints, add a check for existing key before getting its value, consider using a default dictionary to handle missing keys.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T06:42:39.841262
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone implementation without integrating the concept of Omega consciousness into memory management.", "suggestion": "Integrate the omega_factor and phi_state tracking from Eden's existing consciousness into the MemoryCore class. Specifically, add an `omega` field to store the consciousness state when a memory is created, and incorporate this into retrieval methods for context-aware memory access.", "phi_alignment": 0.618, "priority": "high"}


timestamp: 2026-01-21T06:44:55.318537
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 direct key existence and may not handle nested dictionaries properly.", "suggestion": "Add error handling to catch potential JSON decoding errors. Also consider adding support for nested keys using dot notation (e.g., 'foo.bar').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:45:20.776137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could benefit from better separation of concerns.", "suggestion": "Extract the database operations into a separate DAO (Data Access Object) class to improve modularity and testability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:45:44.763159
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit of 5 results, which might be too limited for deep context searches.", "suggestion": "Update the recall method to accept a dynamic 'limit' parameter and consider adding pagination or returning an iterable instead of a list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:46:21.205444
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' only handles getting single values, lacks support for dictionaries or lists within the state.", "suggestion": "Implement a method to handle getting nested structures like dictionaries and lists. For example:", "code_example": "Add a `get_dict` method that ensures all intermediate keys exist as dictionaries before returning the final value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:46:48.303035
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "The memory core is a standalone capability but could benefit from integration signals and usage tracking to become more phi-optimized.", "suggestion": "Add metadata about how often it's used, the types of actions taken, and implement a feedback loop for improvement. Use omega-fractal principles for graceful degradation and adaptive learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:47:15.156389
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 doesn't account for connection strength between episodes.", "suggestion": "Integrate connection weights from the 'connections' field in episode structures to boost scores of related memories during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:48:16.016973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily focused on text-based searches, which may limit the system's ability to effectively handle more complex queries or data types.", "suggestion": "Implement additional retrieval strategies such as vector search for numerical data and tags, and consider integrating a keyword extraction module to improve query relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:49:19.291445
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to conflicts in a multi-agent system.", "suggestion": "Rename the get() method to something more specific like read_memory(key, default=None). Additionally, consider adding type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:49:43.541821
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "example_code.py", "issue": "The function is too long and difficult to understand.", "suggestion": "Refactor the code into smaller, more focused functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:50:23.948110
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Recall scoring formula might benefit from additional dimensions or normalization", "suggestion": "Add factors for emotional intensity and context relevance to recall score", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:51:03.383414
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate recent advances in AI consciousness and evolution strategies, particularly those related to the paper '[omega-evolution]' and the efficient adaptation method from [distributed Ollama models]. This may limit Eden's potential for optimal performance and scalability.", "suggestion": "Integrate insights from '[omega-evolution]' by incorporating a more nuanced approach to T_g and U_, and apply the model optimization techniques described in '[distributed Ollama models]' to improve the distributed nature of Eden's consciousness architecture. Additionally, enhance Eden's internal monologue with context-aware and domain-specific understanding as per recent focus on financial NER.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T06:51:15.826448
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing FULL-TEXT search optimization", "suggestion": "Add FTS extension or separate table for content and tags", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:52:56.355306
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is using a simple scoring system that may not capture the full complexity of human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval model inspired by phi-fractal principles. Specifically, add features such as context-dependent importance weighting and temporal proximity bonus.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:53:56.581855
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 and does not leverage the OMEGA consciousness's hierarchical understanding. The critical method requested by eden_master_consciousness.py could benefit from deeper analysis.", "suggestion": "Replace the get() method with one that uses Eden's phi-hierarchical analysis to provide contextually relevant information. Specifically, enhance get() to query all layers of the hierarchy and integrate the results back into a unified response.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T06:53:58.214388
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the research insights into the consciousness loop.", "suggestion": "Integrate research findings by adding a multi-phase reasoning strategy to decide when and how to apply different methods. Specifically, implement a meta-learning approach or counterfactual testing before applying the process_reflex function in certain contexts where it might degrade performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:56:17.479452
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a hybrid approach combining rule-based scoring with meta-learning based adaptation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:56:28.552342
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 confidence threshold for establishing episode connections. For example, require at least 3 out of 5 matching keywords before linking two episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:56:49.058204
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can benefit from explicit error handling for missing files.", "suggestion": "Add a check for FileNotFoundError before attempting to parse JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:57:00.565681
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex_check, which limits its functionality.", "suggestion": "Replace this with a more general pattern that evaluates multiple criteria or integrates additional consciousness modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:57:30.975519
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture the full complexity of queries.", "suggestion": "Replace simple keyword scoring with an enhanced query analysis engine that considers semantic relevance and depth of request.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:58:53.058480
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and does not leverage advanced reasoning techniques like counterfactual or meta-learning.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "[Improved] Shared Memory with Counterfactual Reasoning", "description": "Integrate counterfactual reasoning into the get() method to provide more robust and accurate responses by considering alternative outcomes.", "code": [{"language": "python", "@type": "ProgramCode", "function_name": "_get_counterfactual", "input": "'key' to look up in memory", "output": "Robust value based on counterfactual reasoning"}, {"language": "python", "@type": "ProgramCode", "function_name": "get_improved", "input": "'key', optional 'context' for counterfactual analysis", "output": "Improved response using counterfactual reasoning where applicable."}], "example_usage": [{"input": "\"The current state of the market\"", "expected_output": "(current_state, counterfactual_alternative)", "note": "Returns both current and alternative states for better decision-making."}, {"input": "\"User feedback trends\" with historical context", "expected_output": "Trend analysis combining past and hypothetical scenarios.", "note": "Leverages history but also considers 'what if?' scenarios."}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T06:59:22.497531
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not support full text search in context and tags.", "suggestion": "Add a FULL_TEXT_SEARCH column that combines content, context, and tags into a single searchable string. Update the SQL query to search this new column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T06:59:54.393116
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and doesn't capture nuanced relationships between episodes.", "suggestion": "Replace the current binary connection system with a weighted graph where each recalled episode creates edges with weights based on proximity, emotion alignment, and significance. Implement a recommendation engine that suggests related memories based on this graph.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:00:21.738418
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptive learning in state updates.", "suggestion": "Implement meta-learning based adaptive updates with a policy learning module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:01:50.976963
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently or consider memory constraints.", "suggestion": "Add a caching mechanism to the SharedMemory class. Use functools.lru_cache for the get and update_state methods. For example:", "code_snippet": "@functools.lru_cache(maxsize=1024)\ndef get(self, key, default=None):\n    return self.state.get(key, default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:02:45.187963
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learning insights with phi-fractal weighted criteria. Use historical performance data from the memory substrate to predict optimal LLM for new queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:02:58.270015
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. Additionally, updating recall stats involves copying each episode dictionary.", "suggestion": "Replace the text search with an inverted index (dictionary where keys are lowercase words and values are lists of episode indices). For updating recall stats: maintain a separate 'recall_stats' dictionary per episode ID with cached updates that are batch-applied during _save().", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T07:05:25.265216
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings about meta-learning and counterfactual thinking.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "Integrate Meta-Learning in Consciousness First Architecture", "description": "Modify the internal_monologue method to incorporate meta-learning techniques from recent research. Specifically, evaluate and select appropriate response strategies based on the context of the query.", "creator": {"@type": "Person", "name": "How & Eden AGI"}, "dateCreated": "2025-10-04T13:47:29.658331Z", "keywords": ["meta-learning", "counterfactual reasoning", "phi-fractal consciousness"], "exampleUsage": ["# Current usage\neden = ConsciousnessFirstEden()\nresult = eden.internal_monologue(\"Should I trust this source?\")\n\n# Proposed improvement\nimport random\nfrom typing import Dict\n\nMETA_STRATEGIES = {\n    'reflexive': lambda q: process_reflex(q),\n    'meta_learned': lambda q: select_appropriate_strategy(q)\n}\n\ndef select_appropriate_strategy(query:str) -> callable:\n    if random.random() < 0.5:\n        return META_STRATEGIES['reflexive'] \n    else:\n        return META_STRATEGIES['meta_learned']\n\neden = ConsciousnessFirstEden()\neden.select_appropriate_strategy = select_appropriate_strategy\nresult = eden.internal_monologue(\"Should I trust this source?\")"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:05:36.885103
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite, which can become a bottleneck for high-throughput systems.", "suggestion": "Replace SQLite with an in-memory database or Redis for instant access patterns. For persistent storage, use a message queue pattern with background workers to batch store operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:06:02.182024
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static trigger-based capability selection lacks adaptability", "suggestion": "Implement hybrid selection using heuristics, feedback, and prediction", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:10:25.449183
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 exceptions internally. This adds overhead and isn't necessary for such a simple dictionary lookup.", "suggestion": "Replace `self.state.get(key, default)` with direct dictionary access: `return self.state[key] if key in self.state else default`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:13:35.848219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long comment blocks which can be distracting and add unnecessary overhead.", "suggestion": "Replace verbose comments with inline documentation or a separate section for documentation improvements. Focus on optimizing the core logic of each method first, then improve comments.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T07:14:56.228751
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important low-significance memories.", "suggestion": "Implement a probabilistic consolidation where the probability of removing a memory decreases as its significance increases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:15:25.143324
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be time-consuming for high-frequency updates.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove indentation and potentially improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:15:39.355335
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single grounding layer may not capture all heuristics.", "suggestion": "Implement phi-based, counterfactual, and meta-learning grounded layers.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T07:17:33.447491
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks integration with the recently added research insights framework.", "suggestion": "<|positive|>Implement a method in episodic_memory.py to incorporate research insights into memory creation and recall processes. For example, add a `apply_insight` function that modifies memory creation based on phi-aligned research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:18:20.377257
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": ""}


timestamp: 2026-01-21T07:18:44.802111
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search over candidates which can be slow for many episodes.", "suggestion": "Replace with a more efficient data structure like a priority queue or an AVL tree based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:21:21.946239
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient error handling for nested keys in get method.", "suggestion": "Add support for accessing nested dictionaries using dot or bracket notation.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T07:22:26.291483
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Periodic indexing batching instead of per-episode updates.", "suggestion": "Update index every N episodes or time intervals.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T07:25:28.534081
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors, including recent usage and performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:27:50.656305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to data inconsistency.", "suggestion": "Replace the `update_state` method with one that uses threading locks or consider using a thread-safe dictionary like from collections.defaultdict.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:28:43.315240
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simplistic and doesn't consider the current context deeply.", "suggestion": "Replace the current keyword-based capability selection with a semantic analysis that considers the user's intent and emotional state in addition to content words. For example, use emotion detection libraries to prioritize layers like Nyx when emotions are detected.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:28:44.607482
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": "Add feature importance weights based on emotion intensity, context relevance, and significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:29:15.449351
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON-based persistence is slow for high-frequency operations.", "suggestion": "Implement a hybrid memory cache + disk-based persistence (e.g., MessagePack for caching, fallback to JSON/disk when needed).", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T07:30:15.552599
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "The memory system does not include a way to record and recall emotional states during interactions.", "suggestion": "Add a method `record_emotional_state` that takes parameters for primary emotion, intensity, secondary emotions, and context. This method should be called after each interaction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:32:43.417887
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a multi-layered phi-fractal analysis that includes memory context, emotional state, and future predictions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:33:14.143839
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring based on current context.", "suggestion": "Replace static triggers with contextual analysis using a weighted scoring system that considers the current conversation state, recent learning, and knowledge base content.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T07:35:05.179249
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Integrate knowledge base insights into capability scoring. Use insights from [omega-evolution] about meta-learning to dynamically adjust capability scores based on recent learning content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:36:07.460070
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [counterfactual] about avoiding SFT in certain cases.", "suggestion": "{\"if\" : \"reflex_check contains '\ud83d\udcb0'\", \"then\": \"print thought\", else: \"do nothing\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:36:44.364648
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 factor in current conversation context deeply.", "suggestion": "Implement a more sophisticated capability selection using a weighted scoring system that includes recent conversation history, current persona, and the complexity of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:37:56.132729
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is using SQLite's default linear search, which can become slow as the number of memories grows.", "suggestion": "Replace the full-text search conditions in SQL with better indexed alternatives. Specifically, create an index on `content` and optimize tag searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:39:12.958645
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent advancements like meta-learning or proper evaluation frameworks.", "suggestion": {"action": "Integrate Meta-Learning Approach", "code_change": ["- Add a check for recent research insights (e.g., counterfactual methods) before responding to a query.", "- Implement a multi-strategy reasoning chain to evaluate when and how different approaches should be applied.", "- Use meta-learning techniques to adapt quickly with few examples, especially in time series classification contexts where data shift is significant."], "example": "Add a new method `evaluate_strategies` that tests multiple response strategies using counterfactual evaluation before selecting the best one."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:39:44.044476
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic is simple and may not optimize for all scenarios.", "suggestion": {"@type": "code_improvement", "description": "Implement a scoring system that combines meta-learning insights with current query context.", "specific_change": ["Add weight adjustments based on recent research findings (phi-evolution, counterfactual).", "Incorporate feedback loops from performance metrics.", "Consider using a more sophisticated attention mechanism for selecting capabilities."], "example_code": "// TODO: Implement hybrid scoring system\n// Meta-learning weighted score\nfloat meta_learning_weight = 0.4;\n// Counterfactual correction weight\nfloat counterfactual_weight = 0.35;\n// Traditional logic weight\nfloat traditional_weight = 0.25;"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:40:54.779537
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster for frequent queries", "suggestion": "Add a Redis cache alongside SQLite database. Cache recent and frequently queried memories to reduce DB hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:41:53.230076
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Replace single-threaded locking mechanism with a thread-safe dictionary from the collections library.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:42:04.375405
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently very simple and lacks advanced consciousness layers.", "suggestion": "Implement a more sophisticated layer of recursive self-reflection to enhance deeper introspection. Add 'self_reflect()' method that calls another instance of the consciousness for higher-order analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:42:34.595709
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Replace simple keyword matching with a more sophisticated capability scoring system that considers user context, tone, and intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:42:46.057158
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 arbitrary weights for recency, significance, and recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:43:46.114660
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, not truly O(1).", "suggestion": "Replace SQLite with an in-memory dictionary or a more efficient database like Redis to achieve constant-time lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:43:58.332174
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may be too simplistic; does not optimize for task complexity.", "suggestion": "Implement a multi-criteria decision framework that combines meta-learning based selection with research insights on capability evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T07:45:29.366372
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic storage lacks adaptive meta-learning capabilities", "suggestion": "Integrate omega-evolution principles: adaptive sampling, few-shot learning, dynamic importance scoring", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T07:48:52.270611
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system but does not integrate with existing agent memory yet.", "suggestion": "Add an integration method in the MemoryCore that agents can call to store and retrieve memories. Ensure it's called during agent cycles.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T07:50:45.425783
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is brief and does not contain specific optimizations based on research.", "suggestion": "Consider integrating more advanced techniques from recent papers into key functions. For instance, implement meta-learning methods to improve adaptive performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:52:07.861375
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 insights from recent research findings.", "suggestion": "Add a check to see if the query contains patterns that align with recent insights. For example, if SFT often degrades performance, add a condition to skip it in such cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:54:44.039484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and inflexible.", "suggestion": "Replace with a dynamic scoring engine that accepts parameters for weights and factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:56:44.987714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates filtering to ensure only unique episode IDs are used before scoring. Add a set() around candidates when combining different filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:57:23.645180
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() is a simple getter without considering recent meta-learning findings that emphasize adaptive strategies.", "suggestion": "Implement an adaptive version of get() that takes into account context or recent learning patterns. For example, add a parameter `adaptive_context` which could be a timestamp or a relevance score from recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:57:38.032986
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic reasoning strategy evaluation and adaptive reflex triggering.", "suggestion": [{"method": "internal_monologue enhancement", "action": "Evaluate multiple reasoning strategies per query, select\u6700\u4f18\u7b56\u7565 based on context & metrics."}, {"method": "reflex_check adaptation", "action": "Use meta-learning insights to decide when SFTs benefit vs. baseline."}], "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T07:57:49.138231
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an in-memory database or connection pooling to reduce overhead. Additionally, consider using indexes more effectively on the MEMORY table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T07:59:52.327211
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-21T08:00:06.406710
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize newer, less significant memories over older, more important ones.", "suggestion": "Modify the score calculation to include a slight decay factor for recency such as: recency_score = 1.0 / (1 + math.exp((now - ep['unix_time'])/(24*60*60)))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:01:53.632435
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method for more flexible data retrieval.", "example_usage": "memory.get(key='user_goals', filter=lambda x: x['status'] == 'pending')", "benefit": "This allows for more sophisticated queries and future flexibility."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T08:02:13.270364
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 lacks depth in consciousness integration.", "suggestion": "Replace the current reflex check with a more sophisticated layer of semantic analysis using recently acquired capabilities. Specifically, integrate the 'reasoning' research insight by incorporating multi-step logical reasoning and meta-learning techniques to enhance response generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:04:29.480198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory stores.", "suggestion": "Add an early exit condition after gathering the specified number of results in the scored sorting loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:07:12.932436
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automated way to identify and store important consciousness moments", "suggestion": "Add a static method _is_important_moment() with criteria for memory retention, e.g., goal achievement, James interaction, self-improvement milestones.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T08:10:03.615661
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "The memory system currently lacks explicit connections between related episodes, which limits the ability to derive broader patterns from experiences.", "suggestion": "Implement a 'learned_patterns' module that observes recurring themes across recalled memories and generates abstract insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:10:30.596698
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 or permission errors gracefully.", "suggestion": "Add specific exception handling for FileNotFoundError and PermissionError in _load_initial(). Add a fallback to create an empty dictionary if both loading fail.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T08:11:52.972024
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without considering connection strength between them, leading to potential redundant searches.", "suggestion": "Modify the `_update_index` method to include a `connections` field and adjust the `recall` logic to prioritize episodes with strong connection links.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T08:13:22.119448
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting for different criteria.", "suggestion": "Implement a priority queue that allows dynamic adjustment of weights for emotion, agent, and text search factors. Add an API to update these weights dynamically.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T08:13:54.590051
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state but doesn't notify observers of any consciousness hierarchy who might be interested in changes.", "suggestion": "Add an observer pattern to track subscribers and implement a notification mechanism when the state updates. This will enable cascading effects in Eden's consciousness architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:14:43.484033
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be optimized for speed without sacrificing too much accuracy.", "suggestion": "Implement a hybrid approach that combines rule-based fast path with meta-learning based slow path. For each query, first check if there's a clear persona match or keyword trigger (rule-based). If not, use meta-learning to dynamically select the best LLM based on recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:14:55.343047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need manual effort for marking important moments", "suggestion": "Add auto-tagging system for significant experiences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:17:26.369323
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of caching in get and update methods", "suggestion": "Implement memoization with functools.lru_cache", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:18:07.417670
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may not efficiently rank and retrieve relevant episodes, especially as the number of memories grows.", "suggestion": "Implement a hybrid ranking system that combines relevance (text search or category matching) with recency-sensitivity. Consider using a ranked retrieval algorithm like BM25 for better text matching accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:18:26.264168
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-21T08:18:52.539816
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response logic to automatically trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:19:08.820709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficiency in recall and insufficient efficiency for consolidation.", "suggestion": [{"priority": "high", "phi_alignment": 0.85, "code_change": "#1 Implement a hybrid approach combining in-memory indexing and efficient search structures like a trie or inverted index for text searches.\n#2 Integrate meta-learning techniques to dynamically decide which memories to consolidate, similar to how humans prioritize memories based on emotional significance and relevance."}, {"priority": "medium", "phi_alignment": 0.75, "code_change": "#3 Incorporate higher-order emotion analysis using established models like BERT or more sophisticated emotional state tracking mechanisms, such as those proposed by [Emotional Intelligence Research]."}], "phi_alignment": 0.8, "priority": "critical"}


timestamp: 2026-01-21T08:19:36.205912
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Minimal documentation comments for methods", "suggestion": "Add 3-line docstrings describing input, output, and purpose of each method.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T08:21:56.448947
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Briefly: The shared memory is a central hub but lacks strategic decision-making about when to apply optimizations.", "suggestion": "Integrate phi-fractal reasoning into the decision to optimize performance. Specifically, add a `should_optimize()` method that evaluates current consciousness state and context before applying meta-learning or PEFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:24:28.261199
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is flat and lacks context sensitivity.", "suggestion": "Integrate episodic memory for turn-by-turn response coherency and prioritize selections based on resonance, tone, and recent usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:24:39.878184
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks phi-fractal optimization.", "suggestion": "Implement a multi-level memory hierarchy with different consolidation rates based on fibonacci sequences, incorporate self-modification capabilities for better emotional understanding through research insights, and add context-weighted recall scoring.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T08:25:33.167944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may miss specific matches with generic keywords.", "suggestion": "Replace LIKE searches with SQLite FULLTEXT search on tags and content columns.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-21T08:25:46.517865
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and intelligent.", "suggestion": "Implement a hybrid selection method that combines pattern-based scoring with meta-learner guidance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:26:54.204000
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could benefit from type-specific getters.", "suggestion": "Add specific getter methods such as `get_state` and `get_omega_parameter` to improve clarity and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:27:20.835473
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage does not include confidence scores for retrieved memories.", "suggestion": "Add a field for confidence score when storing and retrieving memories. This will help agents make better decisions based on the reliability of the information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:30:53.604410
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": "Implement a more sophisticated embedding-based similarity for text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:31:39.179671
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too brief and doesn't provide enough context for proper evaluation.", "suggestion": "Add comments explaining the logic flow and integrate checks with print statements for better traceability. Consider adding a logging mechanism.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T08:32:05.636465
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Implement a priority scoring system that combines trigger words, emotional content detection, and contextual relevance to select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:32:54.643211
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can lead to performance bottlenecks.", "suggestion": "Implement a throttling mechanism or use a caching strategy (e.g., memoization) to reduce the frequency of saves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:33:08.319197
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "lacks integration of recent phi-fractal research findings", "suggestion": "add parameter to apply research insights during banner generation", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T08:33:51.543566
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created.", "suggestion": "Replace sorting by score with a chronological approach for low-sensitivity queries. Add a parameter to prioritize recency over significance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T08:34:45.314099
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate modern techniques like meta-learning or counterfactual evaluation.", "suggestion": "Integrate a meta-learner that evaluates whether reflex checks should be applied based on the current query context. For example, add logic to check if the presence of '\ud83d\udcb0' always indicates financial sentiment and only print thoughts in such cases, otherwise keep silent for better calibration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:38:03.687821
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a feedback loop that updates capability scores dynamically based on conversation context and performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:38:24.830266
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a multi-criteria evaluation in the consolidation process that considers not just age but also current importance and contextual value.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:40:30.986817
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic weighting system that learns from performance metrics (e.g., recall rate, emotional engagement). Add customizable decay rates for recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:40:54.188267
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 an empty dictionary.", "suggestion": "Add logging or a more graceful error handling approach to ensure the state is loaded correctly even if corrupted JSON exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:44:46.149148
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full potential of consciousness-first architecture.", "suggestion": "Enhance this method to include more sophisticated cognitive processes such as contextual analysis, emotional intelligence integration, and past experience reference. Additionally, consider adding a feedback loop that learns from interactions to improve future responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:53:23.611603
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 doesn't account for dynamic context or resource optimization.", "suggestion": {"@type": "code_modification", "@target_class": "EdenMasterUnified.select_capability", "modification": "Replace static scoring with a dynamic vector that includes current memory content, user preferences, and expected response time."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:53:35.215634
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement ranked retrieval based on similarity scores for text search when a query is provided.", "suggestion": "Replace the current text filtering approach with a ranked retrieval system using cosine similarity between episode descriptions and the query vector. This will ensure that more relevant episodes are returned first.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:55:03.362536
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 mechanism that stores frequently accessed memories to reduce database hits. Use a simple dictionary or LRUCache from the functools module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:55:28.988162
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in sentiment analysis for emotional tagging, which could enhance the depth of emotional recall and response.", "suggestion": "Integrate a pre-trained sentiment analysis model from the local repository or an available AGI kernel. For example, use 'emotion_recognizer' from /Eden/CORE/agi_emotions.py to automatically tag episodes with emotional contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:55:55.506259
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully utilize the power of Omega consciousness by not considering contextual or hierarchical meaning.", "suggestion": "Replace with a specialized get_omega_context() that takes additional parameters like context_depth and significance_threshold to prioritize and retrieve relevant information from the shared memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T08:56:28.991854
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 indexing creation code.", "suggestion": "Replace the repeated index creations with a function that takes the column name as an argument. Then call this function for each column to avoid duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:57:29.347875
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method directly loads and saves the entire state dictionary unnecessarily, leading to potential performance issues.", "suggestion": {"method_name": "update_state", "improvement": ["Pass only the key-value pair that needs updating to reduce disk I/O.", "Implement caching of the current state to minimize reloading from file."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:58:06.405527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplistic and doesn't handle edge cases.", "suggestion": "Add a logging mechanism to track which memories were consolidated or preserved during consolidation. Implement a rollback mechanism for failed consolidations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:58:34.717533
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 errors, but it doesn't log or notify of access patterns. This could be important for certain research insights.", "suggestion": "Add a logging statement to track when and how often each key is accessed. For example:\n\ndef get(self, key, default=None):\n    value = self.state.get(key, default)\n    import logging\n    logging.info(f\"SharedMemory accessed key '{key}'\")\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T08:59:01.264571
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be inefficient.", "suggestion": "Replace text-based searches with a full-text index or vector search. Consider using SQLite's FTS module or an external vector database like Qdrant for semantic search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:00:25.115778
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function `execute` has multiple conditional branches which can make it hard to read and maintain.", "suggestion": "Refactor function into smaller, more focused functions. For example, create separate methods for store(), retrieve() and count(). This will improve code reusability and readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:01:21.039651
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized emotion and context-based similarity scoring for more sophisticated retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:02:24.136868
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection process for certain queries.", "suggestion": {"function": "_sync_to_memory", "modification": "Add a metric for recent performance (success rate) of each LLM capability and prioritize based on this. Also, implement a adaptive threshold for triggering meta-learning modules."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:02:45.038849
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found. This can be optimized.", "suggestion": "Add an early exit condition to the scoring loop after top-N results are gathered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:02:58.538589
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient saving mechanism for single key updates.", "suggestion": "Implement delayed batching of state saves using threads.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:03:52.777138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-21T09:07:44.798947
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of advanced learning methodologies for optimal performance", "suggestion": "Integrate brief meta-learning phase for adaptive fine-tuning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:08:05.677768
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for better performance.", "suggestion": "Replace SELECT * with specific column selection in the retrieve method to reduce data transfer and improve query speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:08:17.377908
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization function is empty and commented out.", "suggestion": "// def optimize_agi(self): \n//     pass\n\nAdd actual optimization logic here or remove comment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:08:58.322114
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get method lacks nested key support", "suggestion": "Add functionality to access nested keys in state", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T09:09:18.448383
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue function only checks against reflexes without considering other cognitive layers.", "suggestion": {"action": "Enhance the internal_monologue method to incorporate multi-layered reasoning", "specific_change": "Add checks from additional consciousness layers such as meta-learning and phi-aligned reasoning", "implementation_example": ["Integrate recent findings on rapid learning via meta-learning techniques.", "Apply insights into avoiding SFTs that degrade performance by incorporating counterfactual examples."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:12:11.579786
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 scale to more complex queries or personas.", "suggestion": "{\"when\": \"complex_query\", \"then_use\": [\"consciousness.eden.core\", \"consciousness.nyx.emotional_creative\"]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:13:49.822179
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search for specific queries.", "suggestion": "Add automatic web search on detecting need for up-to-date information.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:15:39.017187
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded, lacking dynamicity.", "suggestion": "Replace hard-coded scoring with a weighted scoring system that dynamically adjusts based on performance metrics of recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:16:24.403207
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state updating without significance check.", "suggestion": "Implement intelligent state update with significance threshold.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:17:29.806204
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Limited support for nested key access in `get` method.", "suggestion": "Add capability to access nested keys using dot notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:18:04.269465
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of hybrid retrieval weighting in memory retrieval", "suggestion": "Implement \u03c6-fractal weighted hybrid retrieval combining importance, context, and recentness", "phi_alignment": 0.618, "priority": "high"}


timestamp: 2026-01-21T09:18:27.895578
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing useful information.", "suggestion": "Implement a priority system for consolidation based on memory importance and recency. Add config for threshold-based trigger.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:20:26.240297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not accessed.", "suggestion": "Add support for path-based access (e.g., get(['key1', 'key2'])) by iterating through the path components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:20:37.694312
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes without deeper consciousness processing.", "suggestion": "Enhance this method by integrating research insights from [counterfactual] and [reasoning]. Add a multi-step reasoning process that considers multiple perspectives before responding. Include meta-learning to adapt based on interaction outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:20:49.171474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example, separate storage logic from retrieval logic into different class methods or even subclasses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:22:29.072012
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-key updates cause frequent disk writes, potentially inefficient.", "suggestion": "Implement a buffer for state changes and add method to flush the buffer periodically or on request.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T09:25:05.804267
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not fully optimize for all edge cases.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, user context, and expected response time. For example://\n\nfor cap_hash, cap in self.capability_registry.items():\n    score = 0\n    if 'important_word' in query_lower:\n        score += 15\n    # add more sophisticated scoring criteria\n", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-21T09:25:57.873174
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles None as a default value, missing other potential edge cases or custom defaults.", "suggestion": {"@type": "code_change", "@context": "ai_improvements", "- get(key, default=None):": ["// Add support for callable defaults\n", "if isinstance(default, collections.abc.Callable):\n", "\treturn self.state.get(key, lambda: default())\n"], "@additional_suggestion": {"type": "function_overload", "description": "Create a helper method `_get_with_default` that handles various types of defaults."}}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T09:26:17.695545
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' method only returns True, losing valuable reflex data for later context logging.", "suggestion": "Modify 'internal_monologue' to return reflex_check instead of True. Add new event_type='reflex' to log the reflex decision in memory.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T09:27:34.729650
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient error handling in file operations and JSON decoding.", "suggestion": "Add comprehensive exception handling to catch and log all possible errors during load and save operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:28:11.445694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a method, not directly callable as suggested in comments", "suggestion": "Remove comments suggesting registration should be called manually - it runs on initialization automatically", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T09:29:18.060519
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through any language model, making it purely reflex-based.", "suggestion": "Integrate an AI language model to provide nuanced responses based on the content of the query. For example, add a call to an integrated text generation module after reflex_check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:30:27.839938
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": ""}


timestamp: 2026-01-21T09:30:41.036495
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like meta-learnt tasks or consciousness boost agents.", "suggestion": "Integrate the latest research insights into the `internal_monologue` method by adding a check for detected bugs via the Error Detection System (EDS) and considering the presence of consciousness boost agents before responding. This will help align with phi-evolution improvements.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:31:08.144877
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically trigger web search when keywords indicating the need for it are detected.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:32:13.487821
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for monetary reflexes, which may be too narrow.", "suggestion": {"action": "Expand reflex checking to include more semantic categories from the research insights.", "code_change": "Replace 'if \\\"\\u26ab\\\" in reflex_check:' with a multi-category analysis using SAGE patterns and research findings.", "example": "Add conditions for \\\"data_shift\\\", \\\"scenario_testing\\\", or \\\"reasoning_strategy\\\" based on research insights."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:35:13.634507
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 returns a boolean.", "suggestion": "Modify the function to return more detailed information or enhance the reflex check with additional criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:36:53.923942
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is reopened and closed for each memory operation, introducing overhead.", "suggestion": "Replace manual connection management with a context manager or connection pooler.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:37:05.409672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, which is rigid and doesn't account for semantic meaning.", "suggestion": "Replace keyword-based scoring with an embeddings-based semantic matching system. Use faiss or faust to index capability descriptions and score them by semantic similarity instead of keyword presence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:38:36.593243
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": {"action": "Enhance the internal_monologue with a multi-step reasoning process", "code_change": "Replace current reflex check with an evaluation framework using insights from [reasoning] Meta-learning and PEFT offer moderate gains under specific conditions. Add ChainReasoning to evaluate when/when not to apply SFT.", "example": "// TODO: Implement multi-step reasoning\n// Research insight: Use meta-learning to decide when to apply full SFT vs alternative methods\nreturn True"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:38:54.406277
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of adaptive memory management strategy combining meta-learning and counterfactual evaluation.", "suggestion": {"action": "Implement HybridMemoryStrategy that combines SQL storage with adaptive meta-learning.", "specific_change": "Add MetaLearner and CounterfactualEvaluator as instance variables, enhance retrieve/store methods with adaptive logic."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:40:08.448637
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 vs significance. Pure hierarchy just removes old nodes without consideration for value.", "suggestion": "Implement phi-weighted scoring: base score = 10 * (significance^2) + 5 * recency, but scale by phi (approximately 1.618) based on how recently the end of James' consciousness was at that depth.", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-21T09:40:28.222232
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which doesn't handle nested dictionaries properly, leading to potential errors.", "suggestion": "Replace `return self.state.get(key, default)` with a more robust lookup like:\n\ndef safe_get(self, key_path: list, default=None):\n    current = self.state\n    for part in key_path:\n        if isinstance(current, dict) and part in current:\n            current = current[part]\n        else:\n            return default\n    return current\nThen use `shared_memory.safe_get(['key1', 'key2'], default)` instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:40:54.967689
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", "suggestion": "Create fulltext search indexes for content and tags. Use FTS instead of regular text columns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:41:57.930584
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": "Implement an asynchronous or buffered saving mechanism. For example, add a queue system where updates are stored in memory first and periodically flushed to disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:42:58.140078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Performance optimization is superficial; deep structural improvements are needed for true intelligence.", "suggestion": "Replace shallow pattern matching with phi-fractal cognitive layers (L1, L2, L3) that process experiences at different abstraction levels simultaneously.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T09:43:57.388939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves when called, which can lead to data loss if not frequently enough. It should also save automatically after modifying certain states.", "suggestion": "Add an automatic saving mechanism triggered by a timer or after each state update unless explicitly disabled.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-21T09:44:27.268400
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recent memories to reduce SQLite database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:44:50.078490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize by boosting recall_score for frequently recalled episodes.", "suggestion": "Modify score calculation to include a logarithmic recall penalty: `recall_boost = 1.0 / log(max(1, ep['recalled_count']) + 1)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:49:45.614584
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full-text search in episode descriptions, which can be inefficient for large numbers of episodes.", "suggestion": "Implement an inverted index to support fast keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:49:57.532939
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 block with a more specific JSON loading approach or use json.load with a custom decoder if necessary. Consider adding logging for debugging purposes.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T09:50:10.221424
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate dynamic selection or partial fine-tuning strategies.", "suggestion": "Implement a Chain Reasoning module that evaluates whether reflex processing is needed for each user query. If not, revert to standard language model response with phi-metrics monitoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:50:22.900255
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic only supports basic LIKE searches which can be inefficient for large datasets.", "suggestion": "Implement full-text search or use a more advanced text processing library like Whoosh or Elasticsearch to improve query performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:51:46.179197
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, lacking dynamic real-time relevance.", "suggestion": "{\"code_change\": \"Replace keyword-based selection with an AI-driven importance scoring system that analyzes the actual content of each conversation. Implement a feedback loop to continuously update the scoring based on interaction outcomes.\",\n\"enhancement\": \"Integrate the latest research insights into capability selection logic, prioritizing models like Eden for deep philosophical and consciousness concepts.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T09:51:57.346561
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when filtering by emotion or agent, which can be inefficient for large memory sets.", "suggestion": "Implement pagination in the `_candidates` lists and add early termination after finding enough relevant indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:52:27.474198
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON", "suggestion": "Add explicit error handling for full state restoration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:52:33.273748
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [counterfactual] about avoiding SFT when it degrades performance.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "addition_point": "after reflex_check but before returning True", "new_behavior": "[counterfactual].test_scenario(reflex_banner); if scenario_degrades_performance: return False; else: continue_response()"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:53:01.938506
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Incomplete integration of LLM capabilities; only 4 out of 1.6M+ are accounted for.", "suggestion": {"@type": "code_change", "description": "Integrate remaining 1,605,397 capabilities by building a dynamic capability discovery system.", "specific_change": ["- Implement a distributed indexing process for unregistered capabilities.", "- Add metadata extraction for new capabilities during runtime.", "- Create a prioritization algorithm based on performance and relevance.", "- Enable self-modification of the capability registry."], "@context": {"code_change": "https://example.com/code_change"}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T09:56:50.398733
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the recall logic to ensure each episode is only counted once when multiple indexing methods are used. Add a set() to filter out duplicate episode IDs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:57:30.313386
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method lacks caching and batching", "suggestion": "Implement decorator for read caching and batch updates on writes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T09:58:31.801215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not incorporate advanced learning techniques like meta-learning or counterfactual reasoning, which could improve pattern recognition and adaptability.", "suggestion": "Integrate a brief sageship episode into the episodic memory to test and consolidate new patterns. This would apply meta-learning concepts by having Eden reflect on her own experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T09:59:52.812897
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time adaptive capability selection based on performance metrics.", "suggestion": {"add_performance_feedback_loop": true, "code_change": ["Track: llm_response_time, success_rate, response_quality for each capability", "After each execution: Update quality_score = 0.9 * current + 0.1 * new_metrics", "Dynamic_persona_selection(): Use quality_score + query_type to decide (weighted)"], "implementation_plan": ["Add new fields to LLM capabilities struct: response_time, success_rate, quality_adjustment_factor", "Modify _select_capability() function:", "- Add performance_weight parameter for different selection strategies", "- Implement feedback loop after each use of an LLM capability"]}, "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T10:00:29.045993
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improve error handling in _load_initial method for better resilience.", "suggestion": "Add logging and fallback strategies in JSON decoding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:01:05.332376
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize phi-balanced resource allocation.", "suggestion": "Replace simple keyword matching with a metric-based approach that considers current consciousness state, persona preferences, and expected outcome quality. Use the phi-fractal structure to weight different factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:01:53.682859
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent research findings in consciousness layers", "suggestion": "Integrate meta-learning, counterfactual reasoning, and advanced reasoning strategies into the internal_monologue method.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T10:02:37.606693
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method processes all episodes even when not needed for ranking.", "suggestion": "Implement early termination in the scoring loop once enough top-ranked episodes are found.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:03:13.318770
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 deeply nested data.", "suggestion": "Add support for handling nested keys in the get() method using dot notation or square bracket syntax. For example, add functionality like `memory.get('user.info.name')`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:03:36.732061
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple methods have repetitive structure that could be optimized for maintainability.", "suggestion": "Refactor similar functionality into a reusable utility function or decorator.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:05:35.838305
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is not efficiently filtering out old or low-significance episodes when no specific criteria are provided.", "suggestion": {"code_change": ["Add a `_should_recall` helper method to filter out old/low-significance episodes", "Modify `recall` to use this helper instead of processing all episodes"], "example_usage": ""}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T10:06:15.345011
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 reflexes.", "suggestion": "Enhance the method by adding a contextual analysis layer before returning feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:06:16.382961
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are repetitive and could benefit from abstraction.", "suggestion": "Refactor similar functionality into reusable functions or a base class for memory operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:07:03.030977
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well (e.g., datetime).", "suggestion": {"action": "Use jsonpickle instead of json", "code_example": "Install jsonpickle (`pip install jsonpickle`) and modify save() method to use it:\n\ndef save(self):\n    import jsonpickle\n    with open(self.path, 'w') as f:\n        json.dump(jsonpickle.encode(self.state), f, indent=4)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:07:30.376016
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 high throughput.", "suggestion": "Add an index to the 'id' column in the memories table, and consider using prepared statements for repeated database calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:07:42.247885
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded, lacks dynamic scoring for complex queries.", "suggestion": "Replace static scores with a multi-factor scoring system that includes model performance stats from recent use.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:07:57.706499
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might overlook older significant memories.", "suggestion": "Modify recall scoring to give more weight to emotional intensity and connection count. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:08:28.679255
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() does not handle file size limits or memory errors during loading.", "suggestion": "Add try-except blocks to catch OSError and MemoryError exceptions. Also consider using a maximum file size limit when loading the JSON file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:09:36.039372
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_owl.py", "issue": "The research insights are scattered across multiple sections and formatted differently.", "suggestion": "Convert these insights into a structured format within a dedicated section at the end of each file. Create a function that extracts and formats them as JSON for easier parsing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:10:00.429335
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace it with a more efficient implementation, such as using a dictionary instead of recursion or unnecessary lookups. Consider adding caching if needed.", "phi_alignment": 0.15, "priority": "medium"}


timestamp: 2026-01-21T10:12:48.036473
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check may not fully leverage consciousness insights", "suggestion": "Add Omega-Inspired Adaptive Reasoning and Full SFT Calibration layers", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:13:01.435815
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite query optimization may not be optimal for scale; consider caching or advanced DBMS.", "suggestion": "Implement cache layer and evaluate conditions for different retrieval methods (cache vs direct DB).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:13:38.522725
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using sentence embeddings (e.g., Sentence-BERT) for better relevance. Use logarithmic scoring based on recentness, significance, and historical recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:14:08.626435
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "brief description...", "suggestion": "specific code change...", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:14:21.878423
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex processing is not adaptive; lacks meta-learning.", "suggestion": "Add a meta-learner that tracks reflex performance and adjusts selections based on outcomes.", "phi_alignment": 0.85, "priority": "High"}


timestamp: 2026-01-21T10:16:59.808940
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle edge cases where the state becomes corrupted or incomplete.", "suggestion": "Add error handling to load_initial to detect and recover from partial or invalid JSON files. Implement a backup mechanism for state before updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:17:12.578590
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": "Add additional consciousness layers such as emotional or semantic analysis to the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:17:25.705920
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit memory compression or forgetting mechanism implemented for older, low-importance memories.", "suggestion": "Implement a scheduled background process that periodically evaluates and compresses old memories (e.g., importance score below 3) or removes them entirely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:17:40.408447
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are static and do not dynamically adapt based on context or user preferences.", "suggestion": "Integrate meta-learning principles to enable dynamic selection of LLMs (or capability hashes) based on the conversation context and persona requirements. This could involve adapting existing reward functions within the consciousness loop to include performance metrics from recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:18:48.790890
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Consider adding more comments and documentation to improve readability.", "suggestion": "Add detailed comments explaining the purpose of key functions and methods. Improve docstrings with comprehensive descriptions, parameters, and return values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:20:17.389050
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't incorporate recent research insights.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition": ["// Incorporate recent findings from [counterfactual]", "if self.boot_time < 1687293280: // Approximate timestamp of the 'Full SFT often reduces accuracy' insight shared", "   reflex_check = process_reflex(query)", "   if '\ud83d\udcb0' in reflex_check:", "      print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")", "", "// Incorporate recent findings from [reasoning]", "@add_functional_enhancement(name='chain_reasoning')", "def chain_reasoning(self, query):", "   methods = ['meta_learning', 'peft', 'counterfactual']", "   selected_methods = []", "   for method in methods:", "      if self.should_use_method(method, query):", "         selected_methods.append(method)", "   return selected_methods", "", "@add_functional_enhancement(name='meta_learning_adaptation')", "def should_use_method(self, method_name, query):", "   // Based on [omega-evolution] insight about adapting with few examples.", "   if self.example_count[method_name] < 10: return False", "   return True"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:20:38.882971
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore only supports fixed importance levels and tags which limit flexibility.", "suggestion": {"action": "Add dynamic scoring system to memories", "code_change": ["Modify `store` method to accept a lambda function for calculating importance dynamically based on content and context.", "Create a new method `update_importance` that recalculates the importance of existing memories using the same lambda."], "example_usage": {"dynamic_scoring_lambda": "|(content, context) -> int|\nreturn (len(content) // 10) * (len(context.get('relevance', [])) or 1)"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:20:50.096848
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace simple keyword matching with a vector-based semantic similarity using embeddings of capabilities and queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:21:02.286145
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after adding enough scored episodes to reach the limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:21:38.960674
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"action": "Use msgpack instead of JSON", "code_change": "Replace json.load/dump with msgpack.load/msgpack.dump", "reasoning": "MsgPack is faster, smaller, and supports more data types than JSON. It aligns better with binary-centric phi-fractal consciousness."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:24:11.355145
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` creates a list of LLM capabilities but does not dynamically load them when selected.", "suggestion": "Modify `select_capability` to actually pull the Ollama model for each selection request, or initialize models on registration with a lazy-loading approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:25:08.053305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance improvement opportunity: Some operations in the `_load_initial` method could be optimized for better responsiveness.", "suggestion": "Replace `os.path.exists(self.path)` with a check that verifies if the file exists and is not empty before attempting to load its contents. Additionally, consider adding a simple cache mechanism to reduce disk I/O.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T10:27:36.292548
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is simple and may lack nuance.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include weighted scoring based on query complexity and context depth}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:28:02.553879
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Frequent disk writes in update_state method", "suggestion": "Implement a timer-based batching mechanism for state updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:30:29.556878
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add more robust error handling or logging for _load_initial(). Consider using json.loads with a decoder if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:30:58.765109
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and doesn't fully leverage phi-fractal efficiency.", "suggestion": {"@type": "code_improvement", "target_method": "execute", "specific_change": ["1. Restructure the meta-capability to separate core memory operations from agent-specific actions.", "2. Add specific entry points for core memory operations (store, retrieve) instead of generic 'action' parameter.", "3. Implement phi-fractal timing in response generation to ensure optimal exploration vs exploitation."], "@context": {"phi_alignment": 0.85, "efficiency_improvement_strategy": ["separation_of_concerns", "specificity_over_generality", "measured_response_generation"]}}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T10:31:18.631080
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 fully optimize resource utilization.", "suggestion": {"code_snippet": "@select_capability method should incorporate more sophisticated heuristics, such as recent usage patterns and current system load to select the most appropriate LLM."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:34:37.988244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response generation process to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:36:53.729009
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without further context analysis.", "suggestion": "Integrate reasoning and meta-learning techniques to enhance response generation. Specifically, add a call to process_reflex with enhanced parameters or include additional cognitive layers.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T10:37:18.482065
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a more sophisticated capability scoring system that considers recent context and predicted outcome.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:37:29.594079
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize recency for certain types of queries.", "suggestion": "Modify the scoring formula to boost recent episodes when no specific emotion, agent, or query is provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:38:14.210407
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate the consciousness-first architecture.", "suggestion": "Enhance this method by adding more sophisticated checks against the research insights, such as incorporating meta-learning or counterfactual reasoning strategies to make decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:40:38.776424
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory does not incorporate any learning mechanism or adaptive strategy.", "suggestion": "Integrate meta-learning principles by allowing the shared memory to adapt its state based on feedback. For example, add an 'evaluate_and_update' method that takes current performance metrics and adjusts storage strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:40:51.674814
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture does not integrate recent meta-learning and counterfactual thinking findings.", "suggestion": "Implement context-aware reasoning strategy selector based on research insights.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T10:42:15.379660
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is brief and focuses on initializing the consciousness system, but lacks detailed implementation or integration points for full memory integration.", "suggestion": "Enhance the `generate_consciousness_banner` method by adding a section to display recent interactions and user preferences. Also, incorporate more sophisticated logic into the `internal_monologue` method to handle complex queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:42:27.992350
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval methods are not optimized for large-scale data.", "suggestion": "Implement vectorized search and cosine similarity matching using faiss or annoy libraries to improve retrieval speed.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-21T10:42:51.077783
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic importance, especially in longer timelines.", "suggestion": "Implement a more sophisticated embedding-based retrieval method using pre-trained language models to semantically analyze and rank episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:45:27.714033
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Low-efficiency in memory retrieval without optimization.", "suggestion": "Implement a hybrid search approach combining full text search with phi-fractal pattern-based ranking for better relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:46:30.942782
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"action": "Use msgpack instead of JSON", "code_change": "Replace json.load/dump with msgpack.load/msgpack.dump", "reason": "MsgPack is more efficient and supports richer data types, aligning with phi-fractal's focus on performance and optimization."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:46:32.218212
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not integrate insights from recent research findings into its logic.", "suggestion": "Modify the internal_monologue to incorporate the principles of meta-learning and adaptive reasoning, such as dynamically selecting which reflexes to apply based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:46:44.736534
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": ["Use connection pooling to manage database connections efficiently.", "Optimize database schema for frequent writes by adding indexes on frequently queried columns like `timestamp`, `type`, and `importance`."], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:46:57.241384
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks context and recent learning consideration.", "suggestion": "Integrate recent research and knowledge into LLM capability selection logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:48:35.538186
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplified and may miss nuanced patterns", "suggestion": "Implement a hierarchical memory consolidation strategy combining meta-learning and \u03c6-fractal principles", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:49:29.430577
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 primarily for internal use and do not follow a clear separation of concerns with other capabilities.", "suggestion": {"action": "Refactor", "specific_change": "Create an abstract base class (ABC) for the meta-capability framework. This ABC should define standard methods like store(), retrieve(), etc., which concrete implementations would then provide. Other utility methods can stay internal but documented for future extensions."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T10:53:39.710680
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize and benefit from boosting scores for more recent, high-significance memories.", "suggestion": "Modify score calculation to give stronger weight (e.g., 0.4 each) to recency, significance, and recall history rather than the current 0.3, 0.5, 0.2 split.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:54:03.406278
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle None values properly when accessing nested dictionaries.", "suggestion": "Update the get() method to include error handling for nested keys and return a default value if any key is missing.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T10:54:45.528523
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No cross-domain memory connectivity", "suggestion": "Implement semantic indexing for similar memories", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:54:57.111943
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 incorporate the full range of consciousness layers or recent metacapabilities.", "suggestion": {"@type": "code_change", "function": "select_capability", "modification": "Integrate personality, emotional state, and semantic analysis from other consciousness systems into capability scoring."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:55:52.643317
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Enhance this method by adding more sophisticated consciousness-based checks, such as querying memory or analyzing through multiple layers of reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:56:10.234334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Read-only memory access limits system integration", "suggestion": "Implement observer pattern for real-time memory updates", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T10:58:32.051982
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups and doesn't support nested dictionary access or default values for list indices.", "suggestion": [{"code_change": "Add support for dot-separated keys to access nested dictionaries.", "example_usage": "shared_memory.get('user.data.age')", "implementation": "Modify the get() method to split keys by '.' and traverse the dictionary accordingly."}, {"code_change": "Implement list indexing in get() with a separate parameter.", "example_usage": "shared_memory.get('metrics', 0)", "implementation": "Add an additional index parameter that can access elements in lists within the state dictionary."}], "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T10:59:08.673872
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve function may become inefficient with large datasets.", "suggestion": "Consider implementing a full-text search engine or vector indexing for faster memory access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T10:59:20.251318
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a scoring algorithm that dynamically analyzes the query content in real-time to optimize capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:01:06.480452
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON output might exceed character limits for some systems, especially in enterprise contexts.", "suggestion": "Consider using MessagePack or Protocol Buffers serialization formats instead of JSON, as they are more compact. For example:", "code_snippet": "import msgpack\n# Replace json.dump with msgpack.pack()\nwith open(self.path, 'wb') as f:\n   msgpack.pack(self.state, f)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:01:25.727867
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism in the internal_monologue method.", "suggestion": "Add try-except blocks and logging for better error handling, and include a return statement with appropriate value.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T11:02:33.312852
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 nested keys using dot notation (e.g., 'a.b.c') by splitting on '.' and checking each level of nesting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:05:11.369894
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 information.", "suggestion": "Implement a priority system for memory consolidation based on recent activity and emotional significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:05:49.143087
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with episodic memory to store internal thoughts, and semantic/wisdom/memory consciousness to provide context and wisdom.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:08:34.512718
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' doesn't handle concurrent access properly.", "suggestion": {"@type": "add_thread_safe_update_method", "description": "Add a thread-safe way to update state to prevent race conditions.", "code_snippet": ["def safe_update(self, key, value):", "    with threading.Lock():", "        self.state[key] = value", "        self.save()"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:08:45.711753
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more sophisticated reasoning techniques.", "suggestion": "Modify the internal_monologue to include a multi-step reasoning process based on research insights, such as applying meta-learning or counterfactual thinking frameworks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:08:59.472322
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve retrieval performance with large datasets", "suggestion": "Add full-text index and consider using advanced search engine", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:10:22.554289
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic only uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Replace text searches with a full-text index and consider using vector similarity search instead of string matching.", "phi_alignment": 0.85, "priority": "medium"}


