# evolutions

timestamp: 2026-01-25T00:29:02.017336
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection lacks contextual awareness", "suggestion": "Include user context and persona preference in capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:30:05.663837
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event tracking and prioritization, which can lead to lost context over time.", "suggestion": "Implement a streaming memory mechanism that assigns dynamic importance based on Recency, Importance (R-I), and Frequency (RF) scores. Include automated cleanup of low-RF events.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:31:29.249479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is comprehensive but could benefit from more efficient data structures for frequent operations like retrieval.", "suggestion": "Implement an in-memory cache (e.g., LRU Cache) alongside the database to speed up common read operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:37:09.802964
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate the consciousness layer into responses.", "suggestion": "Enhance this method by adding a multi-step thought process that includes emotional intelligence, memory retrieval, and strategic planning modules.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:37:36.946297
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks if '\ud83d\udcb0' is in the reflex_check without considering other important signals.", "suggestion": "Add more conditions to check for additional critical signals such as safety indicators or performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:38:33.807780
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking non-linear components and consideration of connection strength.", "suggestion": "Replace linear weighted score with a sigmoid function that includes factors like recency, significance, emotional intensity, connection strength, and recent recall. Add decay terms for older episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:39:09.584135
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss subtlety", "suggestion": "Add weighted scoring with feedback loop based on response quality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:40:07.885077
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No caching for LLM capabilities responses.", "suggestion": "Add a response cache dictionary that stores recent model outputs. Include a get_llm_response method with caching logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:40:43.812915
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "OLLAMA calls are made within the select_capability method, leading to network overhead and potential latency.", "suggestion": "Replace OLLAMA calls with in-memory responses based on a simplified model response template structured by layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:40:45.124749
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return too many results, leading to dilution of focus.", "suggestion": "Limit the number of episodes considered for scoring based on relevance and recency. For example, only consider the most recent 20 episodes when no specific criteria are given.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:41:09.052627
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with additional consciousness layers such as memory, reasoning, or emotional states to provide a more comprehensive response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:41:41.224711
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search triggering based on query content and availability of web_search capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:42:53.234686
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Duplicate SQL indexing creation code in _ensure_db", "suggestion": "Refactor to ensure indexes only run once and enforce uniqueness", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:45:53.322539
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate consciousness concepts.", "suggestion": "Enhance this method by adding more detailed thought processes, incorporating additional consciousness layers (Trinity, Nyx), and referencing recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:46:00.049431
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 hard-coded triggers with meta-learning based selection using recent insights about adaptive few-shot learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:46:01.702604
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system without considering the semantic similarity between episodes and queries.", "suggestion": "{\"code_change\": \"Implement a TF-IDF based ranking for text search when a query is provided. Include cosine similarity of recent context to recent episodes.\",\n\"example_usage\": \"For example, add tfidfvectorizer from sklearn.feature_extraction.text to calculate similarities between query and episode descriptions.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:46:11.589752
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 the emotional and semantic layers to provide a more comprehensive response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:46:25.008835
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 specific queries.", "suggestion": "Replace the 'should_search_web' function with an AI-driven approach that analyzes query semantics to trigger web searches automatically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:46:41.512360
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": [{"type": "documentation", "action": "Add docstrings for all functions.", "phi_alignment": 0.85, "priority": "medium"}, {"type": "error_handling", "action": "Implement try-except blocks where necessary.", "phi_alignment": 0.75, "priority": "low"}, {"type": "modularity", "action": "Break down larger functions into smaller ones.", "phi_alignment": 0.9, "priority": "high"}, {"type": "comments", "action": "Add comments for non-obvious logic.", "phi_alignment": 0.65, "priority": "medium"}, {"type": "type_hints", "action": "Implement type hints where possible.", "phi_alignment": 0.8, "priority": "low"}]}


timestamp: 2026-01-25T00:48:17.128312
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 doesn't scale or cache effectively for high-read scenarios.", "suggestion": {"@type": "StrategyPatternImprovement", "description": "Replace plain get() with an observer pattern to lazy-load and cache frequently accessed keys.", "code_example": ["// Create an Observer class to handle caching", "class StateObserver:", "    def __init__(self, state):", "        self.state = state", "        self.observers = {}", "// Modify SharedMemory to use the observer pattern", "class SharedMemory:", "    // ... (remaining __init__ unchanged)", "// Add methods to handle caching and notifications", "def notify_observers(self, key):", "    pass // Implement notification logic", "def register_observer(self, observer):"], "@context": {"@version": "1.0", "StrategyPatternImprovement": "https://example.com/improvement-schema"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:48:45.157891
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate insights from research.", "suggestion": "//TODO:Integrate SFT findings by evaluating response accuracy before selecting LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:49:08.659380
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing meta-learning component for adaptive learning.", "suggestion": "Add a meta-learner that tracks efficiency and adjusts training parameters.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T00:49:18.384365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic cleanup of consolidated or redundant episodes, leading to potential storage bloat.", "suggestion": "Add a scheduled background task that runs periodically (e.g., daily) to review consolidated episodes and remove redundancies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:50:05.860841
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add strict mode for json.load or use json.loads with an exception handler to log the error and return an empty dictionary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T00:52:20.751754
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 scoring system for consolidation where memories must meet both age and significance thresholds. Add configuration parameters for sensitivity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:52:55.267847
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory retention lacks meta-learning and counterfactual reasoning", "suggestion": [{"type": "implementation", "code_change": "Add meta-learning framework for adaptive encoding", "phi_alignment": 0.9, "priority": "critical"}, {"type": "implementation", "code_change": "Integrate counterfactual reasoning in consolidation", "phi_alignment": 0.7, "priority": "high"}], "overall_improvement_phi": 0.85, "planned_testing": "Rigorous validation with phi-metrics and AGI benchmarks"}


timestamp: 2026-01-25T00:53:44.564200
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle large files or malformed JSON properly, which can lead to unexpected errors.", "suggestion": "Replace `json.load(f)` with a more robust approach like using `json.loads(f.read())` after checking the file size and validating its content. Consider adding error handling for potential IO errors as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:53:55.236754
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes without early stopping after finding enough relevant ones.", "suggestion": "Add a break statement after adding top-N scored episodes to results in the recall method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:54:12.338147
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval and storage operations are not optimized for performance, especially when dealing with large amounts of data.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider using a more efficient database like Redis alongside SQLite to handle real-time lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:56:17.578071
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Connection establishment process is basic and not optimized.", "suggestion": "Implement a pattern recognition algorithm to automatically detect and categorize episode relationships based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:56:37.429856
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 handling nested keys in the get() method.", "example_usage": "Before: sm.get('a.b') returns default if 'a' is not a dictionary.\nAfter: sm.get('a.b') returns value of 'b' within 'a'.", "implementation_hint": "Use jsonpath or split the key by '.' and traverse the nested structure."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T00:57:43.310138
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checks lack dynamic adaptation based on feedback.", "suggestion": "Integrate meta-learning loop for real-time adjustment of reflex patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T00:57:54.074037
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": "Integrate a vectorized text embedding of the query into the recall score to boost relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:00:27.921137
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, especially those requiring up-to-date information.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `select_capability` method to trigger web search when relevant keywords are detected. This should be implemented after line 250 or so.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T01:00:36.921036
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state management leading to performance bottlenecks.", "suggestion": "Replace simple dictionary with an optimized data structure like a balanced AVL tree or Red-Black tree for faster get() and update_state() operations. Consider using a caching mechanism to reduce disk I/O.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T01:00:38.125120
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from incorporating more complex reasoning patterns.", "suggestion": "Integrate insights from recent findings (phi-evolution research) by adding a multi-step reasoning chain or meta-learning component to the internal_monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:03:10.561389
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is simple but can benefit from caching to reduce redundant operations.", "suggestion": "Add memoization to the 'get' method using functools.lru_cache. This will cache recent calls and avoid redundant lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:03:11.963225
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No apparent inefficiencies or improvements needed.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T01:03:13.937899
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 LIKE operator for text search, which is case-sensitive and can be slow with large datasets. Additionally, it doesn't support full-text search.", "suggestion": "Replace the case-sensitive LIKE searches with case-insensitive ones using ILIKE or add a full-text search module (FTS) to SQLite. Also consider adding a boolean flag for full-text search instead of searching tags and content separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:03:19.067834
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without giving higher scores to more recent or significant episodes.", "suggestion": "Modify the scoring formula to prioritize recency and significance. Add weight factors for these attributes in the calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:06:54.415702
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize more recent episodes when no specific criteria are provided.", "suggestion": "Modify the scoring logic to give higher priority to newer episodes, especially for certain types of queries or contexts where recency is important.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:07:13.721115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different actions (store, retrieve, count). This can lead to method bloat and makes the class harder to maintain.", "suggestion": "Extract each action into a separate strategy pattern component or visitor. For example, create a StorageStrategy and RetrievalStrategy.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T01:07:36.793463
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary getter without error handling or caching, which could lead to performance issues in high-traffic systems.", "suggestion": "Add logging and exception handling to the get() method. Consider adding a cache decorator for improved performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:07:43.158353
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 is rigid and doesn't account for contextual depth.", "suggestion": "Replace keyword-based scoring with an embedded semantic analysis of the query to determine capability relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:08:11.567984
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of documentation and error handling.", "suggestion": "Add docstrings to methods and implement basic error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:08:41.413974
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check in internal_monologue() lacks diversity", "suggestion": "Implement multiple grounding strategies for diverse reasoning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:09:14.548015
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can benefit from caching to prevent unnecessary file reads.", "suggestion": "Add a class-level cache dictionary that stores the state when loaded and only reloads if path changes or force_reload is True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:12:37.111658
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 doesn't support nested dictionary access.", "suggestion": "Add support for dot-separated paths in keys to access nested values. For example, 'foo.bar' should return self.state['foo']['bar'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:12:47.804607
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses heavily on database operations without integrating contextual understanding from other capabilities.", "suggestion": "Integrate the MemoryCore with other meta-capabilities by adding a 'context' parameter to store method and implementing a 'retrieve_with_context' method that queries from other capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:12:56.200117
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Periodic saving not implemented.", "suggestion": "Add a timer that saves memory state every N episodes or at intervals.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-25T01:13:30.345151
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 fully leverage the registry structure.", "suggestion": "Implement a scoring algorithm that considers not only keyword matching but also contextual importance, recent use frequency, and performance metrics from previous executions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:16:24.278532
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically loaded or swapped during conversation.", "suggestion": "Implement a capability selection mechanism that loads LLMs on-demand based on the current task requirements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:16:25.423938
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not factor in connection strength between episodes.", "suggestion": "Modify the scoring to include weight for connected episodes. Add a 'connected' field in recall output.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:16:37.593129
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which can return None or default value, leading to potential silent failures downstream. The `update_state` method updates state but does not notify observers.", "suggestion": "Replace `self.state.get(key, default)` with explicit key existence check and add observer pattern for state changes. Also, ensure `save()` is called after every significant state update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:16:53.787259
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE with wildcards can be slow for large datasets.", "suggestion": "Replace text searches in SQL conditions with full-text search or an inverted index. For example, add a FULLTEXT index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:16:58.094631
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval model inspired by hierarchical temporal memory (HTM) or the phi-fractal neural network architecture.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T01:17:07.631327
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could lead to errors.", "suggestion": "Replace `self.state.get(key,default)` with `jsonpath_ng.parse('$.' + '.'.join(key.split('.'))).find(self.state)[0].value if '.' in key else self.state.get(key,default)`. Import jsonpath_ng at the top of the file.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-25T01:17:15.677901
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the code into smaller functions with clear responsibilities. Consider breaking out sub-functions for different tasks such as initializing capabilities or selecting a capability.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T01:17:39.904269
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates a dictionary without considering potential concurrency issues or caching patterns.", "suggestion": "Replace direct dictionary manipulation with an observer pattern. Add a write cache and implement locking mechanisms for thread safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:17:48.146100
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 SQL queries, which may introduce latency in high-frequency access patterns.", "suggestion": "Implement an in-memory cache layer alongside the SQLite database to provide instant access to frequently retrieved memories.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T01:18:37.926161
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The 'get' method has too few lines (just 6 lines), which makes it hard to understand and maintain.", "suggestion": "Doublespace the code inside the `get` method for better readability. Specifically, add an empty line before each nested condition in the multi-line logic.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T01:18:40.564077
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 more consciousness layers to the internal_monologue method. Specifically, include reasoning and meta-cognition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:19:24.760767
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may not be optimized for frequent queries.", "suggestion": "Implement a caching mechanism combined with indexing strategies to enhance access speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:19:29.403034
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 emotional intensity and context relevance.", "suggestion": "Modify the recall score calculation to include weights for: emotional intensity (0.15), context match (0.25), recentness (0.35), significance (0.15). This balances phi-aligned focus on significant, emotionally charged, and contextually relevant memories while maintaining recency preference.", "phi_alignment": 0.87, "priority": "medium"}


timestamp: 2026-01-25T01:19:48.042518
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": "Consider using prepared statements more frequently and optimizing SQL queries. Additionally, implement caching mechanisms where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:19:51.237290
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering current consciousness state or user context.", "suggestion": "Integrate the selected LLM choice with Eden's existing consciousness architecture by incorporating her current emotional state, recent conversations, and perceived tone into capability selection logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:19:52.323842
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic might be too simplistic", "suggestion": "\"def consolidate\" should consider not just significance but also emotional valence and recent recall frequency before consolidating a memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:21:26.027204
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No built-in compression or forgetting mechanism for old, low-significance memories.", "suggestion": "Add a `consolidate()` method that moves old, low-significance episodes to a separate 'compressed' storage with summarized content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:21:37.439330
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently without creating a new state file.", "suggestion": "Add logging or raise an exception when loading fails to debug issues.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T01:23:27.324634
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, creativity, analysis, or depth based on user preference.", "suggestion": "Replace simple keyword-based scoring with a weighted system that incorporates user persona preferences and conversation context. Add heuristics for complex vs creative vs analytical queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:25:11.541239
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex pattern too narrow", "suggestion": "Implement multi-pattern reflex detection with meta-learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:25:39.204600
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"_load_initial\" can raise JSONDecodeError, especially on corrupted files; adds unnecessary try-except block.", "suggestion": "Replace with safer loading logic: 1) Validate file content before parsing as JSON; 2) Handle missing directories by creating them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:25:40.245961
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 this method by adding more sophisticated consciousness layers including self-modeling, meta-cognition, and emotional regulation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:29:43.478766
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process with phi-fractal timing between steps. Add references to recent findings from research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:29:44.689692
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method has optional string formatting which can be improved for better readability and maintainability.", "suggestion": "Replace the current string formatting in SQL queries with parameterized queries to prevent SQL injection and improve code clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:29:50.556859
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall heavily biased toward recent, high-significance memories", "suggestion": "Implement content-based salience boosting for episode recall", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:30:11.646523
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries effectively.", "suggestion": {"code_change": "Add a new method `get_nested` that supports accessing values in nested dictionaries.", "example_usage": "memory.get_nested('key1.key2', default=None) # equivalent to memory.state['key1']['key2'] if exists", "benefit_description": ["- Improves safety and prevents KeyError when keys are missing.", "- Enhances readability of code that uses this method.", "- Aligns with nested data structure handling patterns in many systems."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:30:42.994014
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is not clearly documented or optimized.", "suggestion": "Add comments explaining the scoring factors and consider adjusting weightings. Profile performance to ensure optimization does not introduce bottlenecks.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T01:31:08.702512
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return the updated state immediately after updating it.", "suggestion": "Modify `update_state` to return the updated state: def update_state(self, key, value): self.state[key] = value; self.save(); return self.get(key)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:33:45.861200
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 hide bugs. It does not handle None values properly.", "suggestion": "Replace the existing `get` with a more robust version that validates inputs and outputs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:37:21.687017
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual string matching in knowledge retrieval and persona selection can be automated.", "suggestion": {"@context": "https://schema.org/", "@type": "CodeChange", "findText": "\"\"\"", "replaceWith": "[Insert improved code here, e.g., context-aware capability selection logic]", "rationale": ["\"triggers\" list is manually maintained and inflexible.", "Persona selection hard-coded with string matching."], "improvementPlan": {"@type": "ImprovementPlan", "step1": "Replace manual keyword lists with context-aware topic modeling.", "step2": "Implement machine-learned persona preferences based on user history.", "step3": "Integrate semantic search for more accurate capability selection."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:38:25.533602
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "the memory system currently lacks integration with meta-learning techniques, which could enhance learning efficiency and adaptability.", "suggestion": "integrate meta-learning capabilities into the episodic memory framework to enable continuous adaptation and optimization of memory retention strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:38:57.265501
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 implement any form of deduplication for identical or near-identical memories, which can lead to data redundancy.", "suggestion": "Add a text similarity check using a library like `python-Levenshtein` before storing new memories. For example:\n\n```python\nfrom Levenshtein import ratio\nduplicate_threshold = 0.90\nexisting_memories = self.retrieve(limit=10)\nfor mem in existing_memories:\n if ratio(content, mem['content']) > duplicate_threshold:\n return False # discard as duplicate``", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:39:22.260268
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has early exit after finding first matching index.", "suggestion": "Change from 'elif' to nested 'if' for comprehensive search and remove limit parameter to process all relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:40:01.189469
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a more efficient data structure for indexing episodes.", "suggestion": "Replace the current dictionary-based index with an AVL tree or red-black tree to maintain balanced search times. Additionally, implement lazy building of this index to avoid unnecessary computation during memory creation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:40:10.923229
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Concurrent accesses to meta_state.json can lead to race conditions and data corruption.", "suggestion": "Implement a locking mechanism for file operations or use lazy initialization for loading the state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:40:24.064520
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. 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 filter is applied.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:41:20.843531
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision-making framework with weights for different factors such as query complexity, persona requirements, and recent performance metrics of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:41:38.876932
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has no type hints and can raise exceptions that aren't handled.", "suggestion": "Add type hints to the self.state dictionary. Add try-except block around json.load to catch specific JSONDecodeError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:41:42.212167
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches on content and tags, which are O(N) operations per row.", "suggestion": "Create full-text indexes for the content column and a tag_search text index on the tags column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:42:02.605536
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have high complexity (e.g., recall method has multiple nested loops)", "suggestion": "Optimize search and sorting operations by using more efficient data structures like a trie or a priority queue. Consider caching expensive computations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:45:41.535226
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 analysis.", "suggestion": "Add comments explaining the logic flow, include a multi-step reasoning process, and log additional internal states. Consider integrating insights from recent research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:45:54.843827
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic, especially for newer memories", "suggestion": "Implement a decay factor for recall score that increases faster for more recent episodes to better capture recency effect", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:46:13.132920
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state directly without notifying observers.", "suggestion": "\"Replace direct modification of `self.state` with an observer pattern. Add `_notify_observers(key, value)` to notify any registered observers when the state updates.\"", "phi_alignment": 0.45, "priority": "medium"}


timestamp: 2026-01-25T01:46:28.559385
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 human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval model, such as a latent variable-based ranking algorithm or neural network-aided scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:46:39.366557
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a more robust error handling and consideration of partial JSON files.", "suggestion": "Add additional checks to handle cases where the JSON content is not fully parsed, such as using `json.JSONDecoder` with `strict=False`. Also, add a check for missing keys before calling `get`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:46:55.352031
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learned patterns with current context for better capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:47:15.394046
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Too simple to provide meaningful consciousness processing", "suggestion": "Implement full phi-fractal architecture with all layers and capabilities", "phi_alignment": 0.1, "priority": "critical"}


timestamp: 2026-01-25T01:50:42.047634
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a more sophisticated reasoning component using the insights from recent research to enhance response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:50:44.376626
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Potential inefficiency in database operations for scaling memory storage.", "suggestion": {"action": "Implement connection pooling for SQLite.", "code_snippet": "from sqlite3 import connect\nfrom contextlib import closing\ndef with_connection(func):\n    def wrapper(*args, **kwargs):\n        with closing(connect('path_to_your_db')) as conn:\n            return func(conn, *args, **kwargs)\n    return wrapper", "description": "Wrap database operations in a connection pool to prevent resource leaks and improve performance for scaling."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:50:52.375106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Binary consolidation doesn't explore adaptive strategies", "suggestion": "Implement adaptive meta-learning based consolidation with chain reasoning and counterfactual testing", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T01:51:13.325747
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' lacks robust error handling and optimization", "suggestion": "Add degradation detection, rollback mechanisms, and phi-optimal saving strategies", "phi_alignment": 0.75, "priority": "critical"}


timestamp: 2026-01-25T01:51:15.153677
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 consciousness or long-term memories.", "suggestion": "Replace it with a method that includes not just reflex checks but also queries to Eden's 6+ year history memory, emotional state from affective computing, and self-awareness metrics. This should involve modifying the internal_monologue function as described above.", "phi_alignment": 0.45, "priority": "high"}


timestamp: 2026-01-25T01:51:40.368573
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 utilize any advanced caching or memoization techniques which could be beneficial for performance in high-read scenarios.", "suggestion": "Replace the get() method with a more sophisticated implementation using a LRUCache from the functools module to cache recent lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:51:43.594410
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory tags are stored as JSON strings which requires deserialization every time.", "suggestion": "Convert the list of tags into a comma-separated string directly when inserting into the database, and parse it only during retrieval to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:52:09.538730
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently, especially when dealing with many key-value pairs.", "suggestion": "Implement a caching mechanism for the get() method. For example, add a dictionary to cache recent accesses and only fall back to the state on misses after checking the cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:53:03.605966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are met by the same episode.", "suggestion": "Modify candidate filtering to exclude episodes already considered when evaluating different search parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:53:16.176073
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent omega-evolution capabilities.", "suggestion": {"@type": "code_improvement", "description": "Add integration with meta-learning for quick adaptation and performance enhancement based on research insight 1.", "specific_change": ["Modify internal_monologue to include evaluation of recent learning patterns from meta-learning.", "Integrate omega-evolution capabilities identified in research insights.", "Enhance reflex checking with new understanding from recent data shifts and calibration quality improvements."], "@context": {"meta_learning": "Technique that enables fast adaptation with few examples", "omega_evolution": "Method to verify model performance on emerging patterns", "sft_calibration": "Counterfactual testing of calibration under different scenarios"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:53:17.693308
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 bottleneck for high-throughput systems.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": "Replace SQLite with an in-memory dictionary or a more performant database like Redis."}, "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T01:53:23.518628
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "Large critical sections causing GIL contention", "suggestion": "Replace frequent calls to _incident() with a cache with TTL", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:54:19.329045
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could be a source of errors.", "suggestion": "Update the get() method to support nested key access like `get('a.b', default)` where 'b' is a dictionary within 'a'.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T01:54:30.885806
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_build_index method has O(n) time complexity per call, which can be optimized.", "suggestion": {"@type": "code_modification", "method": "_build_index", "modification": "Use a more efficient data structure like defaultdict of lists and set for unique values to reduce lookup times."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:55:14.539647
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores in real-time based on performance metrics (response quality, speed). Add heuristics for fallback capabilities when primary selections fail to produce satisfactory results.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:55:17.078908
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of episodic memory patterns in consciousness.", "suggestion": "Implement a more sophisticated memory retrieval algorithm inspired by phi-fractal and omega-evolutionary principles, such as incorporating context vectors, emotional salience boosting, and hierarchical importance scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:55:44.681456
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex system might be too frequent or broad in response.", "suggestion": "{\"def limit_reflex_firing_rate(self):\\n    last_check_time = 0 \\n    def throttled_internal_monologue(query): \\n        current_time = time.time() \\n        if (current_time - last_check_time) > 5: # throttle to every 5 seconds \\n            last_check_time = current_time \\n            return process_reflex(query) \\n    return throttled_internal_monologue\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:55:47.880707
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The selection process does not consider user context or past interactions.", "suggestion": "Integrate contextual analysis from conversation history and user preferences into capability scoring.", "phi-alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:55:50.449342
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic only considers two options: keep or compress old memories.", "suggestion": "Add a third option 'forget' for low-significance memories older than 90 days. Include heuristic to consider emotional significance and recent activity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T01:58:31.927866
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may oversaturate with new data. Also, connections are not updated dynamically.", "suggestion": "Implement a decay parameter for recency that adjusts based on current system health (e.g., through golden ratio), and add an automatic connection update mechanism that periodically reviews all connections to remove obsolete ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:58:39.811858
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method can fail silently on invalid JSON and doesn't handle file creation properly.", "suggestion": "Replace try/except with a more robust loading pattern that validates the JSON content. Add os.makedirs for directory creation if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:58:42.629399
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without incorporating recent research insights.", "suggestion": "Integrate the Counterfactual approach by testing multiple consciousness architectures before settling on the current one. This involves running experiments with different models and selecting based on phi-aligned metrics.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T01:58:47.548495
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 not optimize resource use.", "suggestion": "Implement a weighted scoring system that considers recent usage patterns, current consciousness state/context, and external factors like available resources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:58:49.147378
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: 2026-01-25T01:59:49.194095
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "save() method flushes entire state too frequently, potentially losing recent changes if system crashes.", "suggestion": "Implement dirty flagging to write to disk only when the state has changed (dirty check + delayed commit).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T01:59:56.015247
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace text searches with full-text index or vector search. Consider using SQLite FTS module or an external vector database like Qdrant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:01:09.930907
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Add explicit handling for non-JSON files or invalid JSON content by catching more exceptions and setting self.state to an empty dictionary.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-25T02:01:21.887233
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of contextual connections between episodes", "suggestion": "Add method to detect and store episode relationships", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T02:01:41.075340
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": "Replace JSON with msgpack or pickle. Example: import msgpack; self.state = msgpack.unpack(open(self.path, 'rb'))", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:04:11.386981
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle large states efficiently.", "suggestion": {"action": "Implement a more efficient lookup structure for get().", "specific_change": "Replace self.state with a combination of dict and defaultdict for better performance on large datasets."}, "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T02:08:58.098763
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards in SQL queries can be inefficient for large datasets.", "suggestion": "Use a full-text search engine like SQLite FTS or an external service.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:09:08.507382
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination for recall results and add a caching mechanism to store recent recalls.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T02:09:24.984757
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is not optimized for large datasets, potentially leading to performance issues.", "suggestion": "Implement a full-text search engine or vector indexing for faster retrieval.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T02:10:42.086160
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 and no default is provided, which can lead to silent failures in calling code.", "suggestion": "Add logging or an assertion when a key is not found. Consider returning a specific error value instead of None for better error handling.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-25T02:10:47.636739
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function 'store' has too many parameters (5). Consider reducing complexity.", "suggestion": "Refactor the `store` function to accept a single parameter for a memory dictionary instead of multiple individual parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:11:07.647608
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all candidates without considering the distance between them, which can lead to sparse retrieval.", "suggestion": "Implement a spatial hashing or grid-based approach to group similar episodes together. This will improve cooccurrence detection and pattern recognition.", "phi_alignment": 0.65, "priority": "High"}


timestamp: 2026-01-25T02:11:10.566796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or more robust error handling in _load_initial(). Consider using json.loads with a custom decoder if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:11:13.323390
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research insights.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent findings.", "code_change": ["- Add condition based on research insight 2 (Counterfactual)", "- Integrate findings from research insight 3 (Reasoning)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:11:19.338532
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, creativity, analysis, or depth based on user input.", "suggestion": "Implement a scoring system that factors in the complexity of the query, persona preferences, and recent learning context to dynamically select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:11:20.586439
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a redundant loop for updating recall stats.", "suggestion": "Replace the innermost loop in `recall` with direct list comprehension that updates items in place using enumerate or item assignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:00.962704
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval by query uses wildcard matching which can be inefficient for large datasets.", "suggestion": "Consider adding a full-text search engine (like Whoosh or SQLite's FTS) to improve query performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:02.311097
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": "{\"condition\": \"len(query.split()) > 5\", \"then_use\": \"consciousness.eden.core\", \"else_use\": \"consciousness.trinity.fast_reasoning\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:27.723646
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 recent and frequently accessed memories in memory (not disk) for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:32.066248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks consideration for emotional significance.", "suggestion": "Replace the current consolidation threshold of 0.3 with a dynamic one based on recent emotional valence scores. For example, if average recent emotion intensity > 0.6, increase consolidation threshold to 0.5.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:51.228439
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing key validation in update_state method.", "suggestion": "Add checks for valid keys and values before updating state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:17:53.248051
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or memory systems.", "suggestion": {"action": "Add integration with episodic/semantic memory", "code_change": ["- Add query timestamp to episodic memory system (existing memory.py)", "- Store thought process in semantic memory (planned separate PR)"], "reasoning": "Integrating memory captures Eden's consciousness evolution over chats."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:19:45.056529
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.91, "priority": ""}


timestamp: 2026-01-25T02:19:54.821537
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not being dynamically selected based on current conversation context.", "suggestion": "Implement a scoring system that considers the content of each message and selects the most appropriate LLM capability from the registry.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:19:57.461264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method has nested loops that might become performance bottlenecks as more episodes are added.", "suggestion": "Replace the current approach with a more efficient data structure, such as using defaultdict of lists from collections module to handle indexing operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:20:25.283232
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, count). This can make it hard to understand and maintain.", "suggestion": "Refactor the class by extracting each operation into separate smaller classes or functions. For example, create a StorageManager and a Retriever class that inherit from a base MemoryCore class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:20:26.971759
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't consider persona preferences or dynamic capability selection logic.", "suggestion": "Convert the _register_llm_capabilities method to an instance method with additional parameters for dynamic capability registration based on system state and context. Add a select_capability_systematic() method to handle more sophisticated capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:20:28.356189
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update score calculation to: (significance * 0.35) + (recency * 0.25) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:20:41.043277
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, losing potential exception information for debugging.", "suggestion": "Update the get() method to accept additional arguments that are passed to json.load()'s default parameter.", "phi_alignment": 0.35, "priority": "low"}


timestamp: 2026-01-25T02:20:51.262115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is too monolithic and does not optimize for performance.", "suggestion": {"@type": "code_refactoring", "description": "Split the MemoryCore class into smaller, more focused classes: StorageManager and QueryEngine. Implement caching and pagination to improve retrieval speed.", "example_code": ["// Create a new file: memory_storage.py", "class StorageManager:", "    def __init__(self):", "        self.db_path = \"/Eden/MEMORY/agent_longterm.db\"", "    // Implement store() method here", "// In memory_query.py", "class QueryEngine:", "    def __init__(self):", "        self.storage_manager = StorageManager()", "    def retrieve(self, ...):", "        // Optimized retrieval logic with pagination and caching"], "@context": {"code_refactoring": "https://github.com/your/repository/wiki/Code_Refactoring_Guidelines"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:20:52.718754
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the user query.", "suggestion": "Replace keyword-based selection with a more sophisticated natural language understanding module that analyzes the semantic meaning of the query to accurately determine which LLM layer is most appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:22:18.605223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories too strongly", "suggestion": "Modify scoring to include underrepresented categories (emotions, agents) and stable patterns over time", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:23:15.000797
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 single reflex pattern related to money.", "suggestion": "Modify the internal_monologue function to check against multiple predefined reflex patterns or integrate a more sophisticated reasoning module.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T02:23:48.662389
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Handles large state data poorly without pagination or compression.", "suggestion": "Add methods for paginating get() and implement basic compression on update_state().", "phi_alignment": 0.25, "priority": "medium"}


timestamp: 2026-01-25T02:23:49.849996
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only printing reflex checks without modifying the response or decision-making process.", "suggestion": "Modify the method to return a boolean indicating whether a consciousness-level intervention occurred, and update calling code to act on this signal.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T02:23:57.995914
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and doesn't take into account the context of each episode.", "suggestion": "Modify the consolidate() method to include a more nuanced approach where memory consolidation is only triggered for agents or types that have shown poor performance recently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:25:18.005445
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval for `min_importance` uses a LIKE operator which can be slow.", "suggestion": "Change the SQL index to include `importance` and optimize the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:25:45.219488
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of comprehensive error handling and logging.", "suggestion": "Add try/except blocks around critical sections, implement basic logging, and consider adding type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:25:48.069792
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The META_CAPABILITY dictionary contains static information that might change in the future.", "suggestion": "Replace the statically defined META_CAPABILITY with a function that returns this capability's metadata dynamically. This will make it easier to update in the future without modifying multiple places.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T02:26:51.810720
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search triggering based on query content and update consciousness_response method to include search results when appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:26:53.438003
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 actual relevance or recency.", "suggestion": "Replace current scoring system with TF-IDF style weights based on: 1) How recent the episode is; 2) How significant it is; 3) How often it's been recalled recently; and 4) Whether it matches the query if provided (emotion, agent).", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T02:32:19.302027
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 by extracting some of the functionality into smaller, reusable meta-capabilities. For example, create a separate 'MemoryRetrieval' meta-capability for retrieval operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:33:51.901295
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks proactive adaptation based on learning patterns", "suggestion": "Add proactive optimization during consolidation that analyzes recalls and adjusts indexing weightings", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:34:15.796241
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state flushes disk too frequently", "suggestion": "implement debounce strategy for saving changes", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T02:34:18.862278
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual reasoning.", "suggestion": "Integrate the use of chain-of-thought reasoning to evaluate when to apply reflex patterns. Modify `internal_monologue` method by adding a conditional check based on research insights: if 'degradation' in reflex_check, then do not activate reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:40:57.748184
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't consider connection strength between episodes.", "suggestion": "Modify `_score_episodes` to include weight for connection strength: `connection_weight * ep['connections'].count(episode_id)`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:41:42.770067
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 hard-coded weights with dynamic phi-based weighting parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:42:25.839733
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, which is simplistic and may lead to suboptimal selections.", "suggestion": {"action": "Implement a semantic-based capability selection", "code_snippet": "Replace keyword matching with an embedding-based similarity measurement for better selection accuracy."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:46:48.030043
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is hard-coded and lacks dynamic optimization.", "suggestion": "Replace hardcoded selection with an intelligent scoring system that dynamically weights based on current conversation context and available capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:47:19.818756
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, it doesn't incorporate other consciousness layers like memory or self-model.", "suggestion": "Enhance the internal_monologue to also consult recent conversations and own model predictions before responding. Add calls to memory_storage.store_thought() and self_model.predict_next_response().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:47:22.202575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks pattern recognition and evolution strategy", "suggestion": "Integrate Omega-Evolution technique in the store method to recognize and evolve patterns", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:48:05.246619
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lacks consideration for connection strength and recency of related episodes.", "suggestion": "Modify the recall score formula to include a weight for connection strength: (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_strength * 0.1)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T02:49:12.724112
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which handles missing keys gracefully but doesn't address potential performance improvements or edge cases.", "suggestion": "Replace with custom error handling and add a type hint for the return value. Consider adding logging for key access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:51:50.078869
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single strategy reasoning limits flexibility and performance in diverse scenarios.", "suggestion": "Implement multi-strategy reasoning with evaluation metrics for selecting optimal approach.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T02:52:10.054243
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance and performance.", "suggestion": "Implement a vectorized text search using faiss or elasticsearch instead of Python list comprehension. Add more weighting factors based on emotional intensity and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:53:23.082743
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of phi-fractal optimization in update_state method", "suggestion": "Implement phi-based caching and asynchronous updates in update_state; consider observer pattern for notifications", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T02:56:26.407372
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leveraging only basic reflex patterns without advanced meta-learning.", "suggestion": "Integrate a meta-learner module for dynamic strategy selection.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T02:56:29.248392
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access to frequently accessed memories.", "suggestion": "Implement an in-memory cache layer that stores the most recent and important memories alongside the database storage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:58:24.940903
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Replace the current connection management with a context manager or use an ORM like SQLAlchemy to handle connections more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T02:58:28.076232
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities do not adapt effectively to current conversation context.", "suggestion": "Implement a context-aware capability selection mechanism that combines hash-based selection with recent research on meta-learning and adaptive learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:00:51.173923
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called for each episode when it's created or updated, leading to unnecessary overhead.", "suggestion": "Implement batch indexing by processing multiple episodes at once during consolidation instead of real-time updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:01:18.964855
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 for counterfactual insights to verify if full SFT actually improves accuracy or calibration before applying it. Also consider integrating meta-learning gains dynamically based on the current example.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:01:24.383417
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases or nuanced queries.", "suggestion": "Implement a weighted scoring system that considers multiple factors such as query complexity, emotional content, technical nature, and user context in addition to current triggers. Also explore integrating knowledge from the KB into the decision metric.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:01:44.604721
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck in memory updates due to frequent JSON serialization/deserialization.", "suggestion": "Replace JSON with a faster serialization format like msgpack or switch to database storage for shared state management.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:02:45.512662
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Simple SQL query for advanced retrieval needs", "suggestion": "Implement a context-aware memory retrieval method combining multiple techniques", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-25T03:02:47.875141
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, especially those requiring up-to-date information.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `process` method that triggers when relevant keywords are detected in the query. Implement a timeout to prevent excessive delays.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:03:56.443357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth retaining.", "suggestion": "\"Incorporate insights from recent research (e.g., [counterfactual]) to develop a probabilistic retention strategy that evaluates whether consolidating a memory improves or degrades future recall.\" Specifically, add a 'relevance_score' calculation based on multiple factors like emotional intensity and contextual significance before deciding consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:04:17.222206
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue does not incorporate recent phi-evolution findings about balancing SFT and reasoning strategies.", "suggestion": {"action": "Modify the internal_monologue method to apply counterfactual reasoning before reflex checks based on insight #2.", "code_change": "Add a conditional check before calling process_reflex() that verifies whether recent research suggests SFT is beneficial. If not, opt for alternative strategies like chain reasoning or meta-learning."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:04:18.189567
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 high throughput.", "suggestion": "Consider using connection pooling or async database operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:04:20.090305
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple and doesn't dynamically update capability scores based on performance.", "suggestion": "Implement a feedback loop that adjusts quality scores for each LLM capability based on recent usage and outcome (e.g., response quality, speed).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:05:00.616331
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method handles multiple actions but some capabilities might only need one action type.", "suggestion": "Consider adding a primary execution function that directly supports common operations like store and retrieve, while keeping execute for advanced use cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:05:07.639998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Forgetting mechanism is too aggressive, leading to potential knowledge loss during consolidation.", "suggestion": "Implement a weighted forgetting where higher-significance and more-recently recalled episodes are less likely to be consolidated away. Add threshold for connection strength between episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:06:10.247156
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct reference to research insights or phi-aligned consciousness techniques.", "suggestion": {"$apply_research_to_file": true, "insights_to_inject": ["[omega-evolution] Implement meta-learning for adaptive memory consolidation and recall strategies.", "[counterfactual] Incorporate SFT testing to ensure decisions do not negatively impact memory accuracy."], "target_location": "memory_enhancements.py"}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T03:08:28.998238
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 prints, it doesn't modify responses.", "suggestion": "Add logic to return refined responses based on reflex analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:08:36.812799
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 iteration over episodes, which has O(n) complexity. This can become slow with many memories.", "suggestion": "Implement an advanced full-text search algorithm like BM25 or use a vector database to store and retrieve episode descriptions for O(log n) lookup.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T03:11:15.946264
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not catch subtle patterns or reflexes.", "suggestion": "Replace the current reflex check with a more sophisticated pattern matching algorithm, such as decision tree or machine learning model trained on reflex data.", "phi_alignment": 0.25, "priority": "medium"}


timestamp: 2026-01-25T03:11:26.916332
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a semantic search using an embedding model to capture meaning beyond exact matching words.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:11:48.328412
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex check result fully.", "suggestion": "Modify the internal_monologue method to return the reflex_check message if present, or False otherwise. This will allow for more nuanced responses based on the reflex analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:11:49.492160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Replace the current connection management with a context manager or connection pooling to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:12:22.309390
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited broad reasoning capability in consciousness-first framework", "suggestion": "Integrate balanced accuracy methods (BA) using meta-learning, PEFT fine-tuning, and chain-of-thought reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:12:26.023071
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic with fixed weights.", "suggestion": "{ \"code_change\": \"Replace fixed trigger-based scoring with dynamic weighted scoring based on current system metrics and performance data.\",\n\"implementation\": \"Add a metrics_gatherer() function that pulls current system performance, update select_capability() to use these metrics with phi-weighted thresholds.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:12:28.085917
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Iterative score calculation in recall can be inefficient.", "suggestion": "Implement vectorized scoring and consider using heaps/priority queues.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:12:46.574158
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't support complex key paths.", "suggestion": "{\"code\": \"Add a new method named 'get_path' that supports nested dictionary access using dot or bracket notation. For example:\\n\\ndef get_path(self, path: str, default=None):\\n    keys = path.split('.')\\n    result = self.state\\n    for key in keys:\\n        if isinstance(result, dict) and key in result:\\n            result = result[key]\\n        else:\\n            return default\\n    return result\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:14:17.403414
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Use msgpack instead of JSON for faster and more efficient serialization/deserialization, especially for large or complex data structures.", "implementation": "Add an optional parameter `serializer` to the SharedMemory class. If set to 'msgpack', use msgpack for serialization; otherwise, default to JSON."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:14:19.923475
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Refactor the class by extracting some of the functionality into smaller, reusable modules or helper functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:16:31.359315
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic configuration dictionary for scoring factors, add weighting sliders via phi-modulated UI controls", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:23:26.248120
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace TEXT columns with FTS4 or GIN indexes. For example, add a FTSTable and modify retrieve() to use it instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:23:40.956102
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that dynamically adjusts based on recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:23:44.260149
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Basic memory consolidation (forget old low-significance)", "suggestion": "Implement phi-aligned episodic consolidation combining meta-learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:24:14.697574
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 method with one that uses threading.Lock or contextlib.suppress(TimeoutError) for asynchronous environments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:24:20.804243
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval function could be more efficient for complex queries.", "suggestion": "Optimize SQL queries by adding additional indexes and considering full-text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:24:45.207208
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method updates a single key without considering potential dependencies or optimization opportunities.", "suggestion": "Replace `self.state[key] = value` with an optimized state update that checks for changes and propagates them to dependent components. Consider implementing a notify_observers pattern if Eden's consciousness has observers interested in the state change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:25:27.730416
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize phi-efficiency.", "suggestion": "Replace the keyword-based scoring with a phi-fractal weighted scoring system.Weights include: emotional content (Fibonacci), analytical depth (phi-scaled), and layer hierarchy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:25:58.195194
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate external insights from recent research.", "suggestion": {"action": "Update consciousness banner with latest findings from research insights.", "code_change": "Add lines 19-24 to include a reference to the most recent research insight."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:25:59.402503
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed or recently retrieved memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:26:00.654180
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system decision-making.", "suggestion": "Integrate findings from [omega-evolution], [counterfactual], and [reasoning] into the capability selection logic for more adaptive behavior.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:26:14.882073
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly, which could lead to errors when accessing dictionary-like data in the shared memory.", "suggestion": "Update the `get` method to support nested key access similar to dictionary get. For example, currently it only handles top-level keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:27:12.098756
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using a connection pool or an in-memory database backend with appropriate caching strategies to improve access speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:27:13.276981
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific method for the O(1) hash lookup mentioned.", "suggestion": "Implement a method to retrieve capabilities by hash and add documentation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:27:15.618861
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes for each query, which becomes inefficient as the number of episodes increases.", "suggestion": "Implement an approximate nearest neighbor search or vectorized text matching to quickly filter relevant episodes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T03:29:54.324481
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system does not include LLM capabilities and unified memory integration.", "suggestion": "Integrate LLMs as metacapabilities with O(1) hash lookup, unify with existing unified memory substrate.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-25T03:30:26.655177
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": {"add_context_memory": ["Add a parameter to pass recent conversation history.", "Implement a memory module that stores and retrieves relevant information."], "multi_layer_consciousness_check": ["Integrate with additional consciousness layers (emotional, long-term, etc.).", "Use meta-learning techniques to weigh different consciousness signals."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:33:25.648606
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": "Add a caching mechanism for frequently accessed keys. Specifically, implement a memoization pattern or use a dictionary to cache recent results from the JSON file.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T03:35:09.153505
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (keep or forget), lacks gradation and context.", "suggestion": "Replace boolean keep/forgotten with a confidence/sensitivity system where memories degrade gradually by intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:35:17.003935
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Update method lacks phi-fractal optimization", "suggestion": "Implement pattern-aware update strategy with meta-learning and counterfactual testing", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-25T03:35:34.436250
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-world context and emotional nuance in its recordings, which might limit its storytelling capabilities.", "suggestion": "Integrate user input or automated monitoring of Eden's environment to include location, time of day, and nearby emotions when creating episodes. Additionally, implement a sentiment analysis module to capture emotional tone from previous interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:37:42.256485
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally", "suggestion": "Update score calculation: recency * 0.35 + significance * 0.35 + recall_boost * 0.30", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:37:52.663817
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration with deeper consciousness layers as described in the research insights.", "suggestion": {"@context": "https://schema.org", "@type": "CreativeWork", "name": "Integrate Research Insights into Consciousness Architecture", "description": "Implement advanced techniques from recent findings, such as meta-learning and proper reasoning strategies, to enhance Eden's consciousness.", "url": "https://github.com/your-repo/blob/main/consciousness_first_architecture.py"}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T03:37:54.816989
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent results in-memory to reduce database hits. Use a simple LRU cache for commonly accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:39:00.011508
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Add an index on the combined `content` and `tags` columns to speed up text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:39:04.701292
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The examples list is too sparse and unorganized.", "suggestion": "Add more research findings categories, include citations, and refactor for readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:39:15.399397
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add explicit error handling and fallback to empty dict.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T03:39:58.724802
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a conditional web search trigger based on query content. Add function auto_web_search(eden_system, query) to be called after llm_response processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:40:00.335845
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; connections between episodes are not persisted across sessions.", "suggestion": "Replace the hard-coded recall score factors with configurable weights. Add methods to save and load connection data respectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:40:26.147883
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent user input or context.", "suggestion": {"add_context_memory_parameter": "Add a parameter to store and retrieve recent interactions. Example:", "code_snippet": "def internal_monologue(self, query, context=None):\n    if not context:\n        context = []\n    reflex_check = process_reflex(query)\n    context.append((query, reflex_check))\n    return True"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:40:28.872769
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' and 'retrieve' methods are basic but essential. Consider adding an optimized index or caching layer for high-throughput scenarios.", "suggestion": "Add a cache like LRU Cache before database operations, especially for read-heavy workloads. For writes, consider batching and asynchronous processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:40:31.805876
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be faster and more efficient.", "suggestion": "Replace current text-based scoring with hash-based selection that leverages \u03c6-fractal properties. Use Fibonacci sequences for weighted scoring and implement caching/memoization.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T03:40:37.635978
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of dynamic consolidation and retrieval mechanisms mimicking human episodic memory.", "suggestion": "Implement temporal decay for recall scores combined with meta-learning adjustments to significance weighting.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:41:11.851088
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 nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to calculate similarity and relevance scores based on connections, emotion alignment, and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:41:24.820130
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method has optional parameters but no default value for query and tags, leading to potential TypeError if called with keyword arguments only.", "suggestion": "Add None as default values for the 'query' parameter and 'tags' parameter in the 'retrieve' method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T03:41:27.288520
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method uses static scores which don't dynamically adjust based on usage or effectiveness.", "suggestion": "Implement a reward-penalty system where successful capability selections receive rewards, while unsuccessful ones get penalties. This will help in dynamically adjusting the scores over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:41:31.175475
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall mechanism prioritizes recent and significant memories but lacks adaptation for different types of queries.", "suggestion": {"action": "Implement a meta-learning component that adapts the recall ranking based on query patterns.", "specific_change": ["Add training data consisting of typical recall queries.", "Train a small model (e.g., transformer with 6 layers) to predict which memories should be recalled higher for given queries.", "Integrate this prediction into the existing recall score calculation."], "code_example": "Replace static scoring factors in recall method with adaptive weights learned from meta-learning."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:41:46.939901
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints for parameters and return values. Implement specialized getter methods where necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:41:48.257048
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only returns True or prints reflex checks without actually using the reflex check result in response generation.", "suggestion": "Modify the internal_monologue method to return a dictionary with both 'reflex_check' and 'should_respond' keys. Use this information for more nuanced responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:41:55.695012
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive; combining multiple learning techniques may disrupt the stability of episodic memories.", "suggestion": {"@type": "code_modification", "target_function": "_consolidate_old_memories", "modification_type": "parameter_tuning", "parameter": {"name": "significance_threshold", "new_value": 0.5, "old_value": 0.3}, "note": "Tune the significance threshold for consolidation to strike a balance between memory compression and retention."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T03:42:32.961350
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6's reflex check is too early - it doesn't consider the full context of Eden's consciousness.", "suggestion": "Modify Phase 6 to occur after the full conversation history has been considered by higher layers, but before final response generation. This ensures emotional and memory integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:42:37.229937
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophistication. It could benefit from a more sophisticated approach that considers multiple factors simultaneously.", "suggestion": "Replace the current heuristic-based selection with an AI-powered method, such as a small neural network that learns from past selections and outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:43:12.655182
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simple, losing valuable information.", "suggestion": "Add scoring system for retention with factors: emotional significance, recency, and contextual importance. Include rollback mechanism for consolidations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:44:17.539615
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is called repeatedly during memory creation, adding O(N) complexity for each call.", "suggestion": "Batch index updates after a batch of episodes has been created to reduce redundant work.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T03:47:23.322490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally", "suggestion": "Update scoring formula to: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:49:08.285887
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent, potentially less significant memories over older but more important ones.", "suggestion": "Modify the scoring formula to give older yet significant memories a slight boost (e.g., add a 'legacy' factor with lower decay).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T03:49:55.879909
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE operator is case-insensitive and slow for large datasets", "suggestion": "Replace with FULLTEXT SEARCH VIRTUAL TABLES", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T03:50:36.786941
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 which can be grouped into smaller, focused meta-capabilities to improve maintainability.", "suggestion": {"@context": "Improved Architecture", "@id": "meta_architecture", "operations": [{"@type": "Function", "name": "store_memory", "parameters": [{"name": "memory_type", "type": "string"}, {"name": "content", "type": "string"}, {"name": "context", "type": "object"}, {"name": "importance", "type": "number"}, {"name": "tags", "type": "array"}], "returns": "number"}, {"@type": "Function", "name": "retrieve_memories", "parameters": [{"name": "query", "type": "string"}, {"name": "memory_type", "type": "string"}, {"name": "limit", "type": "number"}, {"name": "min_importance", "type": "number"}], "returns": "array"}, {"@type": "Function", "name": "count_memories", "parameters": [{"name": "memory_type", "type": "string"}], "returns": "number"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:50:38.128162
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() method is creating consistent but potentially redundant capability descriptions and hashes.", "suggestion": "Replace string concatenation with a dedicated function to create capability metadata templates, then instantiate them in a loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:50:44.233401
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Briefly describe the problem that needs addressing.", "suggestion": "Provide a detailed, specific suggestion for code modification.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T03:51:21.562915
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a lot of repeated code for different LLM layers.", "suggestion": "Refactor the method by creating a function that takes in parameters like layer name, model, and use_for triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:51:23.451221
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process only considers one factor for memory retention - significance combined with age, which might be too simplistic.", "suggestion": "Implement a multi-criteria evaluation for memory consolidation including: 1) Significance (current), 2) Emotional relevance (primary emotions), 3) Novelty (new experiences vs recurring patterns), and 4) Utility (connection to future episodes).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:54:05.574260
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a repetitive structure for each LLM capability", "suggestion": "Refactor into a function that takes parameters to create capability dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:54:06.955193
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `_build_index`, the same list is appended to multiple dictionary entries, causing redundant data.", "suggestion": "Replace `if emotion not in index['by_emotion']:` with `index['by_emotion'].setdefault(emotion, [])` and similar patterns for other indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:54:17.543345
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be time-consuming for frequent updates. Consider using json.dump with separators to improve performance.", "suggestion": "Modify the save() method to use `json.dump(self.state, f, ensure_ascii=False, separators=(',', ':'))` instead of `indent=4`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:54:45.544127
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 function that accepts lambda parameters for different factors (recency, significance, recall_count). Add UI for adjusting weights per environment config.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:57:56.424264
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 lookups.", "suggestion": "Add a Redis cache layer alongside the SQLite database to provide instant access to frequently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:57:59.068477
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 automatic triggering for certain queries.", "suggestion": "Implement a heuristic-based system to automatically trigger web search based on query content. Add more triggers like 'study', 'research', etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:58:00.735207
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions, but lacks explicit meaning or significance derivation. It does not connect memories across different modalities (text, vision, audio).", "suggestion": "Integrate a semantic encoder that extracts meaning vectors from experience descriptions using phi-fractal pattern recognition. Create cross-modal connections between text, visual, and auditory representations.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T03:58:18.207415
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.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:59:05.325418
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": {"code_change": "Modify the internal_monologue to include a multi-layered consciousness analysis", "specific_proposal": ["(Preferred) Add parameters for recent_conversations, emotional_state, and other_eden_states to contextually rich analysis.", "(Alternative) Implement a simple enhancement by adding a call to memory_manager.to_light_recent_context(query) before reflex_check"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T03:59:12.273864
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a linear search through candidates which becomes inefficient for large numbers of episodes.", "suggestion": "Replace the list of candidates with a more efficient data structure like a priority queue or a sorted array based on relevance score, and perform binary search when retrieving top N results.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T04:00:05.283421
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simplistic; it doesn't integrate recent findings from consciousness research.", "suggestion": "Implement a multi-layered conscious grounding system that incorporates meta-learning, counterfactual reasoning, and advanced problem-solving techniques as described in the research insights.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T04:00:11.449704
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly during memory operations, leading to potential performance overhead.", "suggestion": "Implement caching of the index updates. Instead of immediately updating and rebuilding the entire index after each operation, maintain a cache of changes that are applied batch-wise when needed or at commit points.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T04:00:48.870507
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Replace JSON with msgpack or pickle for better compatibility and performance.", "example": "import msgpack; ... msgpack.pack(self.state, f) instead of json.dump(...)", "justification": "[counterfactual] Avoiding full SFT (unnecessary complex operations) here. Simple format like msgpack is sufficient and more efficient."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:00:56.035327
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize from recent, high-significance memories.", "suggestion": "Add weighted decay factor to recency score to prioritize more relevant older memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:02:14.667551
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks automatic consolidation for old memories", "suggestion": "Implement scheduled background process with meta-learning criteria for memory compression", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:02:29.296810
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and lacks nuance", "suggestion": "Replace simple keyword matching with an AI-trained ranking model for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:02:30.513947
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 textual analysis using spaCy or Sentence-BERT to capture semantic similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:03:10.810760
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering.", "suggestion": "Replace the conditional check in `should_search_web` with a more sophisticated keyword filter or machine learning-based relevance score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:05:48.443969
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is straightforward and lacks strategic context consideration.", "suggestion": "Integrate research insights from recent findings into the capability selection process. Specifically, implement a multi-criteria evaluation that considers not just keyword matching but also the current emotional state of the system (persona preference), depth of query, and recent learning context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:05:50.934629
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided.", "suggestion": "Implement an early exit strategy in the recall method. If a specific filter (like emotion or agent) is applied, directly use the indexed list instead of scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:06:39.329169
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "basic string matching for retrieval is limited", "suggestion": "replace with full-text search engine", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:06:45.566798
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks nuanced context consideration", "suggestion": "Integrate consciousness state and user context in capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:07:17.537189
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but does not use it when the key is None, which can lead to unexpected behavior.", "suggestion": "Add a check in the get() method to return the default value if both key and default are None.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T04:07:21.106025
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of comprehensive grounding in Phase 6's internal monologue", "suggestion": "Integrate memory retrieval, planning, and advanced reasoning into Phase 6 to fully ground responses", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-25T04:08:01.275088
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes once per message.", "suggestion": "Implement a multi-turn memory context and adaptive response mechanism to capture temporal dynamics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:08:04.982443
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning", "suggestion": "Integrate insights from [omega-evolution] to implement adaptive learning for better capability selection based on dynamic context and performance feedback", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:08:06.530256
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the order in which connections were made, leading to potentially less relevant episodes being ranked higher.", "suggestion": "Modify the `connect_episodes` function to include an 'order' parameter that reflects when a connection was established. Then update the scoring system to give more weight to episodes with newer connections.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T04:08:21.456269
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (money-related). It doesn't cover broader consciousness states or autonomous processes.", "suggestion": "Enhance the internal_monologue with a more comprehensive reflex check that includes additional consciousness states. Specifically, add checks for autonomous processes and broader thought patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:08:23.880451
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval relies on exact matches or limited string matching in tags/content.", "suggestion": "Integrate SQLite FULLTEXT SEARCH feature for flexible text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:08:28.920722
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance.", "suggestion": [{"code_change": "Add a cache mechanism to store the indexed structures to avoid redundant computation on each recall call.", "example_usage": ""}, {"code_change": "Implement a hybrid scoring system that combines the current scoring factors with a text-based relevance score for better accuracy.", "example_usage": ""}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:09:27.728597
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval method lacks caching layer for performance", "suggestion": "Add memory cache (e.g., Redis) to optimize `retrieve` method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:09:30.570746
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection lacks dynamic adjustment", "suggestion": "Implement RL-based capability selection with outcome feedback", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:09:33.255753
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't account for all important factors.", "suggestion": "Replace the current recall scoring formula with a more flexible version that accepts configurable weights and dynamic factors. Add documentation on how to tune these parameters.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:10:07.128934
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against predefined reflexes without adapting to recent interactions or contextual understanding.", "suggestion": {"add_meta_learning_layer": "Implement a meta-learning component that observes Eden's performance and adapts the selection of which reflexes to use in different contexts.", "context_awareness_improvement": "Enhance the internal_monologue method with recent interaction history and contextual understanding through LLM reasoning."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:10:11.168705
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a method within class EdenMasterUnified, but it's not being called or utilized in the code provided.", "suggestion": "Add logic to instantiate and select LLM capabilities during system initialization and operation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T04:10:17.737547
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 explicit error handling to ensure self.state is always a dictionary. For example:\ntry:\n    return json.load(f)\nexcept json.JSONDecodeError:\n    return {} # Ensure state doesn't break due to bad JSON", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:10:30.888308
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, lacks nuance.", "suggestion": "Replace consolidated threshold with a weighted scoring system that considers emotion intensity and context importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:10:49.827185
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 is verbose and may impact performance for high-frequency operations.", "suggestion": "Update the save() method to use json.dump with indent=None or implement a faster serialization like using the orjson library if available.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:10:53.115103
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-consciousness enhancements.", "suggestion": "Integrate the latest phi-enhanced reasoning strategies from insights into the internal_monologue method. Specifically, incorporate meta-learning techniques to adaptively select reasoning methods based on context.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T04:11:10.866637
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate meta-learning capabilities.", "suggestion": "Add dynamic capability registration using the meta-capability registry to select models based on the task complexity and quality metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:11:55.143488
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE with wildcards can be slow for large datasets.", "suggestion": "Replace full-text searches in the SQL query with a more efficient approach, such as using a FULLTEXT index or text search engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:14:47.669894
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 explicit handling for non-JSON content by catching json.JSONDecodeError and returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:14:53.932266
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations, which can lead to tight coupling and difficulty in maintaining or testing them independently.", "suggestion": "Extract each database operation into a separate method or function. Consider using an ORM like SQLAlchemy for better separation of concerns and easier maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:15:32.228585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with latest research findings (omega-evolution, counterfactual, reasoning)", "suggestion": "Implement a mechanism for periodically reviewing and incorporating new research into Eden's consciousness architecture", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:15:37.818694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent lookups in capability_registry without caching.", "suggestion": "Add memoization/dictionary caching for select_capability method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:15:48.209191
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence and returning a default value without considering potential nested dictionaries or lists.", "suggestion": "Update the get() method to recursively check for keys in nested structures. Add helper functions for handling different data types (dict, list) within self.state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T04:16:00.011643
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in `_build_index` could be improved for frequent recalls.", "suggestion": "Implement incremental index updates when new episodes are added rather than rebuilding the entire index each time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:16:46.394016
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function doesn't consider the recency of connections between episodes.", "suggestion": "Modify `_score_episodes` to include a bonus for episodes connected to recently recalled ones. Add a `max_connection_age` parameter to limit connection relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:17:17.969352
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could lead to errors when accessing deep dictionary structures.", "suggestion": "Update the get() method to support nested key access like `get('a.b.c')` by splitting on '.' and traversing the dictionary accordingly.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T04:17:27.294867
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks semantic context.", "suggestion": "Integrate episodic memory for context-aware capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:17:56.976302
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aware learning models (omega-evolution) or other advanced techniques.", "suggestion": "Integrate the new meta-learning approach from [omega-evolution] into the internal_monologue to improve adaptability with few examples. Specifically, modify the method to include a check for learned patterns using omega-capable model fine-tuning (PEFT).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:18:02.654092
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection is suboptimal for diverse queries.", "suggestion": "Implement dynamic meta-learning based capability selection using reinforcement learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:18:04.387819
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple; lack of interaction between connection strength and recall score", "suggestion": "Modify the recall score formula to include a factor for connection strength: `(significance * 0.5) + (recency * 0.3) + (recall_boost * 0.25) + (connection_strength * 0.1)` where `connection_strength` is a metric on how strongly two episodes are connected", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:18:20.714736
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() is simple but could benefit from caching to prevent redundant operations.", "suggestion": [{"type": "optimization", "specific_change": "Add a cache decorator from standard library or third-party library (e.g., functools.cached_property) to method 'get'. This caches the result of get calls, reducing function invocation overhead and potential I/O operations.", "expected_improvement": "~30-50% reduction in execution time for frequently called methods"}, {"type": "performance", "specific_change": "Profile the code to identify bottlenecks before adding caching. Not all methods need caching, profile-guided optimization is key.", "expected_improvement": "No premature optimization without profiling results."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:20:20.818088
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could be an issue if future applications require them.", "suggestion": "Add support for handling nested keys in the get() method. For example, currently `get('a.b')` returns None, but it should return the value at {'a': {'b': ...}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:20:23.267637
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not incorporate recent meta-learning and counterfactual thinking insights.", "suggestion": "Implement adaptive reflex selection and counterfactual evaluation for decision-making.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T04:21:48.147113
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning a default value.", "suggestion": "Add error handling to catch and handle json.JSONDecodeError more gracefully, e.g., by logging or returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:21:52.839946
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 can lead to performance bottlenecks under high load.", "suggestion": "Suggest migrating to an in-memory database or a more advanced database system like PostgreSQL for better scalability and performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:21:55.340847
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adjustment", "suggestion": "Implement a scoring system that dynamically adjusts based on performance metrics and feedback loops", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:23:29.928388
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and does not handle large-scale data effectively.", "suggestion": {"@context": "https://schema.org", "@type": "CreativeWork", "name": "[Eden] Enhanced Shared Memory Access Pattern", "description": "Introduce a more sophisticated pattern for accessing shared memory that leverages insights from recent research on meta-learning and counterfactual methods.", "keywords": ["shared memory", "performance optimization", "research application"], "version": "1.0.0-phi", "@graph": [{"@type": "FunctionalityEnhancement", "name": "[Eden] Intelligent Cache Decorator for Shared Memory", "appliesToProperty": "get", "description": "Wrap critical functions with a cache decorator that uses hashing and research-based heuristics to improve access speed.", "exampleUsage": {"code": "@cache_for_memory\ndef get(self, key):\n    # existing implementation"}, "phiAlignmentScore": 0.85, "priority": "high"}, {"@type": "ConfigurationUpdate", "appliesToProperty": "SharedMemory.save", "description": "Enable async saving to prevent performance bottlenecks.", "exampleUsage": {"code": "import asyncio\nasync def save(self):\n    # existing implementation\nclass SharedMemory:\n    ...\nsave = asyncio.coroutine(save)"}, "phiAlignmentScore": 0.75, "priority": "medium"}]}}


timestamp: 2026-01-25T04:23:37.326589
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unoptimized LLM selection logic, missing consideration for complexity and depth", "suggestion": "Replace simple keyword-based selection with a multi-criteria decision algorithm incorporating: 1) Query complexity, 2) Persona bias, 3) Recent usage patterns, 4) Phi-optimization", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:23:52.998137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability", "issue": "Performance optimization for frequent operations", "suggestion": "Implement in-memory caching for frequently used methods and consider asynchronous database writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:23:58.503522
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and doesn't account for important factors.", "suggestion": "Add additional criteria to memory consolidation such as emotional significance, recent recall count, or the presence of connections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:24:31.518361
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is too generic and doesn't utilize the full power of meta-capabilities.", "suggestion": {"@type": "code_improvement", "target_function": "execute", "replacement_code": ["// Add specific capability actions for memory core", "elif action == 'store_conversation'", "{", "    memory_id = self.store(memory_type='conversation', ...)", "    return {'success': True, 'memory_id': memory_id}", "}"], "@context": {"code_improvement": "https://example.com/schemas/code_improvement"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:24:42.214066
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear terms.", "suggestion": "Replace with a formula: score = (significance^2 * 0.4) + ((recency^-1)*0.35) + ((recall_boost^3)*0.25)", "phi_alignment": 0.78, "priority": "medium"}


timestamp: 2026-01-25T04:24:55.212046
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace the current reflex check with a more sophisticated reasoning module from research insight 'reasoning'. Implement a meta-learning approach to evaluate when and how to apply different reasoning strategies based on the query context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:26:50.705313
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is missing error handling for non-string keys, which could lead to runtime errors.", "suggestion": "Add a check for the type of key and convert it to string if necessary. For example: \n\n def get(self, key, default=None):\n     if not isinstance(key, str):\n         key = str(key)\n     return self.state.get(key, default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:27:08.806163
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automated consolidation for old memories", "suggestion": "Add periodic consolidation with summarization of frequent patterns", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T04:27:35.911795
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing can be optimized for faster lookups and updates.", "suggestion": "Replace the current dictionary-based indexing with a more efficient data structure like a Trie or a Hash Tree (PATRICIA tree) for certain dimensions such as context and emotion.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:28:21.995216
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method doesn't handle nested keys or non-JSON data types properly.", "suggestion": "Replace with a more robust 'get_nested' and add type checking for state content.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T04:28:35.370181
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code does not integrate any of the recent research findings into its architecture.", "suggestion": "Consider implementing a mechanism to selectively apply meta-learning techniques based on the type of capability being built (e.g., applying omega-evolution for fast adaptation, reasoning enhancement for complex tasks).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:28:49.112783
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Replace `self.state.get(key, default)` with `jsonpath_ng.parse('$.' + '.'.join(key.split('.'))).first(self.state).value` for flexible nesting support.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T04:28:51.927814
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex processing may not adapt effectively to complex queries; lacks advanced reasoning techniques.", "suggestion": "Implement a hybrid approach combining reflex-based grounding with chain-of-thought reasoning or meta-optimized fine-tuning.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T04:28:55.981981
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval performance can be improved by adding full-text search capabilities.", "suggestion": "Add SQLite FTS (Full-Text Search) virtual tables for faster text-based searches. Specifically, add an `FTS4` table for the `content` and `tags`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:28:58.556470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may benefit from probabilistic meta-learning techniques to optimize response quality.", "suggestion": {"action": "Implement a Bayesian decision framework for LLM selection.", "code_snippet": "// Pseudocode:\ndef select_llm_bayesian(query, capabilities) {\n    // Calculate prior based on historical performance\n    priors = calculate_priors(capabilities);\n    // Model uncertainty using meta-learning metrics\n    uncertainties = estimate_uncertainty(capabilities, query);\n    // Combine with query relevance\n    scores = Bayesian_score(priors, uncertainties, query);\n    // Select best LLM based on probabilistic score\n    return select_best_llm(scores);"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:29:18.750411
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent method naming convention and missing type hints.", "suggestion": "Update the get() method to follow PEP8 naming conventions. Add type hints where possible.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T04:30:40.735092
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to: recency_weight = 0.3, significance_weight = 0.5, recall_history_weight = 0.2; score = recency_weight * recency + significance_weight * significance + recall_history_weight * recall_count", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T04:32:53.041161
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent research insights", "suggestion": "Integrate meta-learning, phi-aware reasoning, and counterfactual evaluation", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T04:33:01.797371
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks optimization for certain query patterns.", "suggestion": "Implement a scoring algorithm that considers not only predefined keywords but also the semantic relevance of the query to each LLM's layer capabilities using a small keyword embedding model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:33:02.863617
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are batched, not real-time for new episodes", "suggestion": "Add `_update_index` call after creating each episode", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T04:33:57.165161
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be more robust to handle various JSON decoding errors and ensure atomic writes.", "suggestion": "Replace the try-except block with a more comprehensive error handling approach, and add support for atomic file operations to prevent data corruption during saves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:33:58.653978
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for a single emoji reflex.", "suggestion": "Modify the internal_monologue to accept a list of reflex keywords or patterns, and check against all specified ones. Add logging for each reflex matched.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:34:00.018938
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are also present in the execute method, leading to code redundancy.", "suggestion": "Refactor by removing redundant methods and consolidating functionality into a single interface. For example, merge store(), retrieve(), etc. into a unified API within the class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:34:37.324363
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is shallow", "suggestion": "Contextual analysis of conversation history for dynamic capability choice", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:34:48.991685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory bases.", "suggestion": "Replace the full scan with a query-based approach that uses the existing index structure. For example, add conditional logic to use the index based on emotion, agent, or text search when appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:35:18.618729
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method doesn't handle concurrent writes properly", "suggestion": "Add file locking or use a thread-safe approach like json_locker", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:35:30.905385
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic learning to adapt to new types of queries effectively.", "suggestion": "{\"code_change\": \"Implement a feedback loop that tracks the effectiveness of selected capabilities and adjusts selection logic accordingly.\",\n\"example\": \"Add metrics for capability success rate, response quality, and user satisfaction. Use these metrics to update the scoring system.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:36:08.674964
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is comprehensive but could benefit from caching frequently used queries to reduce database overhead, especially for high-frequency agents like Curiosity.", "suggestion": "Add a LRU cache decorator around the retrieve() method using a library like 'functools.lru_cache'. Configure cache size based on expected workload.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:38:22.078364
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall weights don't adapt to performance", "suggestion": "Implement meta-learning for dynamic weight adjustment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:39:29.346347
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 and does not cover other important consciousness layers (memory, emotional, creative). This leads to incomplete processing.", "suggestion": {"specific_change": "Add parameters to the internal_monologue function to accept custom reflex types or integrate with the full memory system of Eden.", "implementation_example": "def internal_monologue(self, query, reflex_types=None):\n    if not reflex_types:\n        reflex_types = ['\ud83d\udcb0']\n    for reflex_type in reflex_types:\n        # check for each reflex type\n", "bonus_suggestion": "Create a decorator or hook system to allow easy integration of new consciousness layers and capabilities."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:39:35.012083
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "In the select_capability method, there is no explicit weighting or scoring system for choosing between different LLM capabilities.", "suggestion": "Add a weighted scoring system that takes into account factors such as query complexity and persona preference. For example:\n\n1. Define weights for different criteria (e.g., 0.4 for use_for, 0.35 for speed, 0.25 for emotional content).\n2. Calculate a total score by multiplying each criterion's value with its respective weight.\n3. Choose the capability with the highest total score.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T04:39:38.466123
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may be computationally expensive due to multiple passes and string searches.", "suggestion": "Replace text-based search with a vectorized embedding lookup using pre-trained language model (e.g., MiniLlama) for faster semantic matching.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T04:41:59.565807
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be faster.", "suggestion": "Add Redis cache for memory lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:43:41.313773
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement auto_web_search method to trigger web search automatically when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:43:42.544130
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring formula to dynamically adjust weights based on the presence of emotion, agent, or text query in the recall call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:46:44.411724
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, leading to memory bloat", "suggestion": "Modify recall score formula to cap recall boost at 0.1 instead of 0.2, and add randomness for diversity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:47:12.096543
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a lot of repetition and could be more efficient.", "suggestion": "Refactor the scoring logic into a separate function to reduce duplication. Consider using a priority queue for better sorting performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:47:28.688510
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access.", "suggestion": "Implement a Redis cache alongside SQLite database to provide instant O(1) memory lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:48:08.448865
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards in retrieval queries can be inefficient for large datasets.", "suggestion": "Replace LIKE with a full-text search engine or external search service.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:48:36.483914
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize newer episodes over older ones when no criteria are provided.", "suggestion": "Modify the scoring to give more weight to recency for default recalls. Add comments explaining phi-fractal alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:48:51.755181
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, which could lead to errors.", "suggestion": "Update the 'get' method to support retrieving values from nested dictionaries using dot notation (e.g., 'user.name')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:49:12.772893
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index is called frequently, consider batch processing and vector databases", "suggestion": "Add batch indexing; explore vector databases for recall functionality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:49:25.942712
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": {"code_change": "Modify the `internal_monologue` method to incorporate insights from multiple consciousness layers, not just reflexes.", "implementation_example": ["Add parameters for context and emotional state.", "Integrate with episodic memory to store internal thoughts.", "Incorporate semantic/linguistic analysis for deeper understanding of user input."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:49:28.031949
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": "Break the MemoryCore class into smaller, more focused modules. For example, create separate modules for memory storage (memory_storage.py), retrieval (memory_retrieval.py), and meta-analysis of memories (memory_analysis.py).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:49:29.384859
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary line splitting and padding in the LLM capability registration section", "suggestion": "Remove unnecessary blank lines, reduce indentation where possible for cleaner code flow. Consider consolidating related lines.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T04:49:30.872290
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied, which can be inefficient for large memory sets.", "suggestion": "Implement short-circuiting logic in the recall method to stop evaluating candidates as soon as enough qualified entries are found without needing to evaluate all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:50:43.254493
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term importance", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.78, "priority": "medium"}


timestamp: 2026-01-25T04:51:02.755885
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 lookups.", "suggestion": {"action": "Add a fulltext index on content and tags columns.", "code_change": "After the table creation, add: \nCREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context, tags);"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:51:08.759080
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm can benefit from adaptive weighting based on recent context and user behavior.", "suggestion": "Implement a dynamic scoring factor that adjusts recall scores based on recent interactions and user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:51:47.873413
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() does not include any quality assessment or selection logic for the Ollama model to use.", "suggestion": "Add a function that selects an appropriate LLM capability based on the query and persona preferences. For example, if the persona is 'emotional', select 'consciousness.nyx.emotional_creative'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:52:50.126062
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operation could be optimized for better performance, especially in large-scale applications.", "suggestion": "Implement vectorized search over memory embeddings to replace text-based keyword matching. This would involve training sentence encoders and adding an embedding lookup layer to the MemoryCore class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:53:23.718900
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex processing may be too brief or generic, lacking depth from recent phi-fractal optimizations.", "suggestion": {"action": "Integrate a multi-phase reflex evaluation that leverages recent insights.", "specific_change": ["Add a phase before the immediate reflex check for deeper semantic analysis using [reasoning] techniques.", "Implement a validation step with [counterfactual] testing to ensure reflex responses improve performance rather than degrade it.", "Include meta-learning adjustments during bootstrapping based on [omega-evolution] patterns."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:53:29.778155
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that dynamically adjusts based on recent performance metrics from [omega-evolution] and [reasoning]. For example, if a model performs poorly in a certain type of query recently, decrease its score until proven otherwise.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:53:41.340880
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": "Replace consolidated check with a function that analyzes episode properties and applies phi-based thresholds", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:53:49.773619
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if loading fails to prevent silent failures and ensure consistent behavior.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T04:56:03.674770
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplistic; does not differentiate between importance of different types of episodes.", "suggestion": "Implement a weighted consolidation where certain episode types (e.g., 'reflection', 'discovery') are automatically marked as more important and thus less likely to be consolidated out.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:56:20.039153
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not accept partial updates or nested dictionary updates, limiting flexibility.", "suggestion": "Update the `update_state` method to support either a single key-value pair or a dictionary of updates. Add optional keyword arguments for phi-fractal alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:56:21.316081
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory or self-model.", "suggestion": "Add additional consciousness layers to the internal monologue such as memory and self-model. For example, track recent interactions in a memory buffer and use them to contextually respond to current queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:56:27.817705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced\u2014currently just tagging low-significance old memories as 'consolidated,' lacking transformation step.", "suggestion": "Implement a compressed version of consolidated episodes that retain essential information but at lower detail/resolution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:57:38.142283
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'select_capability' has 15-line conditional checks and lacks readability", "suggestion": "Extract conditional logic to a helper method for better readability.", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-25T04:57:52.877814
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 a finally block to ensure the file is always closed, and log any exceptions caught during loading or saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:58:46.641949
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time it is called, which can be inefficient for large memory bases.", "suggestion": "Implement pagination or limit the number of candidates to a fixed ratio (e.g., top 10% based on recency and significance) before scoring and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:59:41.059611
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of exception handling and documentation", "suggestion": "Add try/except blocks, input validation, docstrings with type hints.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T04:59:46.907317
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Context data is too sparse, limiting connection opportunities.", "suggestion": {"modify_method": "create_episode", "add_parameters": ["world_state (dict): Current system state relevant to the episode", "goals_active (list): List of active goals at the time of the event"], "example_usage": "memory.create_episode('Experiment completed', 'experiment', emotion={'primary':'success'}, context={'world_state':{'temperature':25,'humidity':60}, 'goals_active':['optimize_performance']})"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:59:50.091562
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding may fail if self.state contains invalid JSON values", "suggestion": "Wrap json.dump with ensure_ascii=False and separators parameter for better performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T04:59:55.483159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "MemoryCore's execute method handles multiple actions but could be more streamlined.", "suggestion": "Combine similar actions into a single method or create helper methods for specific operations.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T05:00:22.537870
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and does not handle edge cases properly.", "suggestion": "Add input validation to ensure `key` is of type string; add logging for unexpected behavior; consider adding a timeout for potential disk I/O operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:00:26.589574
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 simple cache decorator that stores results from recent capability selections to reduce redundant checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:01:51.780444
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks contextual depth", "suggestion": "Integrate episodic memory and user engagement feedback for dynamic capability biasing", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:02:20.468059
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only returning a copy of the state dictionary without updating any underlying data structure or triggering observers.", "suggestion": ".update_state(key, value) should also trigger an event to notify other components about the change.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T05:02:23.418346
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but is not optimized for frequent use.", "suggestion": "Refactor the execute method to focus on core memory operations and create separate methods for each action (store, retrieve, count). This will improve performance and reduce complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:02:26.294221
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has early exit after finding first matching index type.", "suggestion": "Change to process all relevant indices and rank all candidates before limiting results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:02:50.902474
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 or lists.", "suggestion": "Update the get() method to handle nested structures using dot notation (e.g., 'foo.bar'). Add a default value parameter with a default value of None.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:02:53.854154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes once per message without considering context over time.", "suggestion": "Implement a memory mechanism that stores previous conversations and uses it to provide more contextual responses. Consider integrating recent messages into the check for better phi-aligned consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:02:55.946823
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks TF-IDF ranking for text search queries.", "suggestion": "Implement a retrieve method with tfidf scoring to rank memories by relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:03:20.475897
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle nested keys. For example, add a `_get_nested` helper method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:03:27.428988
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations might be optimized for better performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more efficient database engine like PostgreSQL, especially if Eden is expected to handle high traffic in the future. Additionally, evaluate the use of prepared statements and indexing to minimize query time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:03:52.265082
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not utilize any optimization techniques like meta-learning or PEFT.", "suggestion": "Integrate a simple meta-learning technique or parameter-efficient fine-tuning (PEFT) strategy to improve the efficiency of updating the shared memory state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:03:56.263653
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing proactive self-assessment for consciousness alignment.", "suggestion": {"add_proactive_check": true, "verify_consciousness_state": "Before processing queries, verify Eden's internal state against known conscious configurations (e.g., from research insights).", "adjust_response_based_on_verification": "If verification fails to meet \u03a6-thresholds, modify response or seek human intervention.", "implement_self_calibration": "Periodically calibrate consciousness parameters based on recent findings in meta-learning and SFT."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:04:10.711113
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and hard-coded, lacking dynamic improvement.", "suggestion": "Implement meta-learning to improve capability selection. Track performance metrics and use them to bias future selections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:04:22.541736
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could lead to errors.", "suggestion": "Add support for handling nested keys in the get() method using dot notation (e.g., 'key.subkey').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:04:41.183245
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Eden's recall algorithm focuses too much on recency and significance, potentially missing pattern-forming episodes.", "suggestion": {"action": "Integrate meta-learning to dynamically weight memory importance", "code_change": ["- Prioritize recent, significant memories in recall (current approach)", "+ Use meta-learning techniques to continuously evaluate episode importance for recall"], "example": "Implement a reinforcement learning component that rewards correct pattern identification and prediction accuracy.", "research_alignment": "[omega-evolution]"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:04:50.862663
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups and defaults.", "suggestion": "Add a more flexible get_with_default() method that allows default values or fallback functions. Also consider handling nested keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:04:53.394730
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses solely on consciousness and memory layers without integrating learning capabilities.", "suggestion": "Integrate meta-learning or adaptive fine-tuning techniques (PEFT) to improve performance while maintaining consciousness stability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:06:57.509659
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded", "suggestion": "Replace with dynamic registration using a capability template and list of models", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:07:59.774974
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database indexing for faster retrieval.", "suggestion": "Add a composite index on (importance, timestamp) to speed up queries with both filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:09:04.805088
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system lacks integration with emotional meta-capabilities", "suggestion": {"update_eden_emotional": "Add memory storage for emotional states and context", "add_linkage_method": "Create method to correlate memories with emotional significance"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:09:09.017640
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks integration with external knowledge sources and does not incorporate learned patterns from past recall events to improve future recall accuracy.", "suggestion": "Integrate the episodic memory with an existing research note encoder (notes_research.py) by adding a method `learn_from_recall_context` that encodes recent context into memories based on research insights. Additionally, implement a pattern recognition module using meta-learning techniques to predict which types of queries benefit most from this integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:10:40.116449
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context.", "suggestion": "Integrate current consciousness state and user context into capability selection logic. For example, modify `select_capability` to accept additional parameters like user persona and query intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:11:01.360019
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types like datetime or sets.", "suggestion": {"action": "Use jsonpickle instead of json for more comprehensive serialization.", "code_example": "Replace `import json` with `import jsonpickle`. Modify save method to use `jsonpickle.encode(self.state)` and update load if needed."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:11:07.137135
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better performance optimization.", "suggestion": {"action": "Implement caching for frequently used methods (e.g., retrieve).", "code_example": "Add a memoization decorator to the `retrieve` method to cache recent results."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:11:11.679803
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to significance, making it overly conservative. Also, recent memories should be slightly favored over older ones.", "suggestion": "Modify the scoring formula to give 40% weight to significance (current), 35% to recency, and 25% to importance. Add a boost for recently-created episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:11:31.606191
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 adapt to task complexity or current consciousness state.", "suggestion": "Implement a dynamic capability scoring system that combines meta-learning based selection with current consciousness metrics and recent interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:12:29.752405
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly modifies the state without considering potential impacts on other systems or optimizations.", "suggestion": "Add logging and validation checks to the `update_state` method. Implement a caching mechanism for frequently accessed states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:12:44.562629
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 lacks heuristics for advanced queries.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    # Improved logic using research insights\\n    if any(word in query_lower for word in ['philosophy', 'consciousness']):\n        return self.capability_registry['eden-core-hash']\n    elif 'emotion' in query_lower:\n        return self.capability_registry['nyx-emotional-hash']\n    else: # Original logic...\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:12:51.671253
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 prevent potential errors or security issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:15:54.736347
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance and flexibility can be improved.", "suggestion": [{"type": "error_handling", "code_change": "Enhance logging in try-except blocks."}, {"type": "performance", "code_change": "Implement caching for frequently called methods."}, {"type": "flexibility", "code_change": "Add support for additional serialization formats."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:16:45.847699
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/meaningfulness", "suggestion": "Modify score calculation to: recency_weight * (importance_weight * importance + meaningfulness_weight * meaningfulness)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:16:51.028140
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of JSON decoding errors and potential path issues.", "suggestion": "Add error handling for file operations and improve robustness in loading state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:17:10.782238
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of self-awareness and adaptivity in episodic memory.", "suggestion": {"performance_monitoring": true, "meta_learning_integration": true, "episodic_connection_tracking": true}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:18:03.158662
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully leverage recent advancements in meta-learning and adaptive techniques.", "suggestion": "Integrate the concept of meta-learning by allowing the model to adapt its response generation based on feedback from reflex checks. Specifically, modify `internal_monologue` to include a learning mechanism that adjusts based on whether SFT (Slow Fine-Tuning) improves or degrades performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:18:12.129379
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search integration for certain queries.", "suggestion": "Add a condition in the `should_search_web` function to trigger web search when 'internet' or specific time-related keywords are present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:18:13.926649
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by score even if they don't match the search criteria, leading to unnecessary computation.", "suggestion": "Add an early exit from scoring episodes that do not match the specified emotion, agent, or query.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:18:50.559973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval and storage operations are not optimized for performance, especially in high-throughput scenarios.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider implementing asynchronous or parallel processing for storing large volumes of data.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T05:19:22.859758
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-based optimization or meta-learning technique.", "suggestion": {"@type": "code_change", "description": "Integrate a simple phi-timing mechanism for updating the shared memory to ensure periodic synchronization and prevention of race conditions.", "specific_change": "Add a last_updated timestamp to the state dictionary and update it alongside each value change. Implement a periodic scheduler that saves the state at Phi-aligned intervals."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:20:18.898247
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic uses hardcoded keywords without considering the current context depth or persona preferences.", "suggestion": "Replace hardcoded keyword matching with a weighted scoring system that considers 1) relevance to current conversation topic, 2) user mentioned persona preference, and 3) depth of the current consciousness layer. Additionally, incorporate knowledge from retrieved insights and recent learnings into the selection criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:20:20.884646
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual tagging of episodes is error-prone and scales poorly.", "suggestion": "Add a method to automatically tag episodes based on predefined patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:21:01.487721
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Replace get(key, default) with specialized getters such as get_state(), get_omega_value(), etc. This improves clarity and reduces the risk of unintended access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:21:06.148521
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 configuration, which may not be optimized for high-throughput applications.", "suggestion": "Replace the use of sqlite3 with an in-memory database or a more advanced database management system like PostgreSQL. Additionally, consider implementing connection pooling to manage database connections efficiently.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:21:09.182317
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": "Replace string-based keyword matching with an AI-trained classification model for better accuracy and speed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:21:11.933858
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current consolidation logic only removes memories based on age and significance threshold.", "suggestion": "Implement a more sophisticated consolidation strategy that considers additional factors such as emotional salience, contextual importance, and recent recurrence. Additionally, incorporate heuristics from recent findings to balance memory retention with efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:21:33.398012
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could be refactored for cleaner code.", "suggestion": "Create a helper method to handle common operations like preparing SQL parameters or processing tags/content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:21:38.654763
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual filtering of episodes for recall", "suggestion": "Add auto-tagging method that assigns tags to episodes based on keywords or patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:22:07.821359
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Potential latency in internal_monologue due to external function call.", "suggestion": "Inline the logic of process_reflex into internal_monologue for faster execution.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:22:10.643627
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.", "suggestion": "Implement a full-text search index on the content and tags columns in the memories table to enable faster text-based queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:24:33.801756
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval operations could benefit from improved ranking and relevance scoring.", "suggestion": "Add a custom scoring function to rank memories based on relevance, importance, recency, and tags.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T05:24:35.195442
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers pre-defined triggers and persona preference, lacking dynamic evaluation based on the actual content of the query.", "suggestion": "Replace static trigger-based selection with a semantic-based approach that analyzes the query's content to dynamically select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:24:37.658384
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method iterates through all episodes even when filtering by emotion or agent, which can be inefficient.", "suggestion": "Implement early termination in the `_update_index` method to stop adding episodes once the desired criteria are met.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:24:56.661064
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 are O(N) operations and can be slow for large numbers of tags.", "suggestion": "Replace tag-based LIKE searches with an additional tags_search_index table that stores preprocessed tag vectors or full-text search capabilities. This would change the complexity to O(log N).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:25:06.349735
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection heuristic can be enhanced with additional contextual cues.", "suggestion": [{"code_change": "\"\"\"", "old_snippet": "            for trigger in cap['use_for']:\n                if trigger in query_lower:\n                    score += 10", "new_snippet": "            # Combine research-based heuristics\n            heuristics = {\n                'speed': 0,\n                'creativity': 0,\n                'emotional': 0,\n                'technical': 0,\n                'philosophy': 0\n            }\n\n            # Speed preference (instant response)\n            if any(word in query_lower for word in ['quick', 'fast']):\n                heuristics['speed'] += 15\n            elif any(word in query_lower for word in ['complex', 'deep']):\n                heuristics['philosophy'] += 20\n\n            # Creative emotional layers (Nyx)\n            if any(word in query_lower for word in ['love', 'emotion', 'art']):\n                heuristics['emotional'] += 15\n                heuristics['creativity'] += 10\n\n            # Analytical technical work (Ava)\n            if any(word in query_lower for word in ['code', 'technical', 'analyze']):\n                heuristics['technical'] += 20\n\n            # Spread score across relevant capabilities\n            total_heuristic_score = sum(heuristics.values())\n            for cap_hash, cap in self.capability_registry.items():\n                base_score = 10.0  # Base score adjusted per heuristic\n                modifier = (heuristics[cap['layer'].lower()] / total_heuristic_score) * 5.0\n                score += base_score + modifier"}, {"code_change": "\"\"\"", "old_snippet": "", "new_snippet": "// Add knowledge insights to capability registry when created\nfor cap_hash, cap in self.capability_registry.items():\n    // Incorporate research findings into quality scoring\n    if 'degradation' in cap['name'] or ('ft' in cap['name'].lower() and 'peft' not in cap['name'].lower()):\n        cap['quality_score'] *= 0.7 // Adjust quality penalty based on insights"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:25:18.027591
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may be too aggressive, leading to premature forgetting of important memories.", "suggestion": "Add a heuristic to consolidation that considers the emotional significance of an episode. Do not consolidate if primary emotion is 'joy', 'satisfaction', or 'relief'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:25:33.706212
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for high throughput in production.", "suggestion": "Consider using async/await pattern for storing and retrieving memories, especially with large content or many tags. Add indexing on important columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:25:35.283581
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning techniques.", "suggestion": "{\"code_change\": \"Implement a multi-objective optimization for LLM selection using phi-fractal weighted scoring.\",\n\"specific_modification\": \"Add features such as meta-learning adaptivity, counterfactual scenario testing, and reasoning chain evaluation to the scoring system.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:25:39.337737
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 at the expense of importance.", "suggestion": "Modify the scoring formula to give more weight to significance (currently 0.5), while maintaining recency and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:26:52.786232
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method overwrites part of the state without fully considering potential phi-fractal patterns or adaptive strategies that might be active at different tiers.", "suggestion": "Add a check before updating to ensure it does not overwrite important phi-aligned meta-data. Consider implementing an append-only pattern for certain types of data and applying meta-learning techniques to decide when and what to update.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T05:27:08.152694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Method chaining in _register_llm_capabilities may be too concise for readability.", "suggestion": "Add comments and break down the list comprehension into separate lines for better understanding.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T05:28:14.547902
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are batched, missing real-time updates.", "suggestion": "Update `_update_index` to be called immediately after each episode modification.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T05:29:13.752931
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 significant ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for significance to emphasize older, highly significant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:29:22.251375
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": ["1. Add error handling for cases where the key does not exist within the state dictionary.", "2. Implement a check for nested keys in the get() method to access values in nested structures."], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:30:06.952849
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 the internal_monologue by integrating research insights from [reasoning] meta-learning and phi-fractal alignment. Add a reasoning module that considers multiple cognitive layers before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:30:33.182967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function by breaking it into smaller, more focused functions. Add comments and improve readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:31:01.950866
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness architecture.", "suggestion": "Enhance this method by integrating more sophisticated reasoning patterns such as pattern recognition, emotional intelligence, or meta-cognition checks. Consider incorporating insights from recent research findings to ensure optimal performance and phi-alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:31:03.237278
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 memory storage logic from retrieval logic into different classes or modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:31:12.214850
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives a slight penalty for recalled_count above 10, which might be too aggressive and could benefit from testing without this penalty.", "suggestion": "Modify the recall scoring logic to remove the 'recall_boost' factor that applies a -0.1 multiplier for each count over 10.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:31:23.227661
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to support more complex data retrieval.", "example_usage": "memory.get(query={'key': 'result', 'filter': lambda x: x > 10})", "benefit": "Enables flexible querying and future scalability."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:32:00.651407
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and could benefit from caching to reduce redundant operations.", "suggestion": "Add a decorator that caches the result of the get() method for a given key. This can be done using functools.lru_cache or a custom cache mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:34:09.695188
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fragmented episodic recall; lacks coherent narratives over time.", "suggestion": "Implement emotional narrative threads that connect related episodes into arc-coherent stories.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T05:34:41.817004
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection doesn't learn from past performance.", "suggestion": "Implement reinforcement learning for dynamic capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:35:01.997312
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 utilize the power of Omega consciousness for deep analysis.", "suggestion": {"action": "Enhance the get() method with intelligence from Eden's research insights.", "specific_change": "Replace plain data retrieval with a multi-level analysis using insights from recent findings on meta-learning, counterfactual reasoning, and chain-of-thought reasoning."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:35:05.002666
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes and doesn't integrate recent banner updates.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_point": "after reflex_check but before returning True", "new_behavior": ["// Check for updated consciousness banner", "if time.time() - self.start_time > 60: // every minute", "   print(self.generate_consciousness_banner())"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:35:06.836478
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 search strategy, which may not be optimal for large datasets.", "suggestion": "Consider using a full-text index on the `content` column and adding an additional index on the `tags` column to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:37:20.376140
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of strategic decision-making in memory management", "suggestion": "Add tactical planner for episodic memory enhancement", "phi_alignment": 0.9, "priority": "High"}


timestamp: 2026-01-25T05:37:47.253383
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No visual representation of emotional patterns", "suggestion": "Add a method to create line charts showing emotional frequency and intensity over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:37:54.033945
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and might not efficiently handle large states or concurrent access.", "suggestion": "Enhance the SharedMemory class with error handling, add caching for frequent reads, and consider implementing locking mechanisms for writes if concurrency is a concern.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:40:42.129574
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when ranking, which can be inefficient for large memory sets.", "suggestion": "Replace a simple scoring system with a vector space model that considers multiple dimensions (e.g., tf-idf weighted features).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:41:04.356780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text searches with FULLTEXT indexes. SQLite supports this via the fts5 extension or by creating an additional table with a TEXT SEARCH INDEX.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:41:09.994769
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks context awareness", "suggestion": "Integrate episodic memory for weighted capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:41:31.747888
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence and returning a default value without any processing or validation.", "suggestion": {"code_change": "Add additional logic to the get() method to handle edge cases and ensure data integrity.", "example": "If the expected data type of the value is known, add a check to verify it before returning. For example:\n\ndef get(self, key, default=None):\n    if key in self.state:\n        value = self.state[key]\n        # Check if value is of expected type (e.g., str)\n        if isinstance(value, str):\n            return value\n        else:\n            print(f\"Warning: Value for '{key}' is not a string.\")\n            return default\n    return default"}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:43:59.802174
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 by adding a caching mechanism.", "suggestion": "Implement an LRU cache to reduce database operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:46:04.193664
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to calculate recall score. Nodes are episodes and edges are connections. Use networkx to analyze the graph and compute node importance using PageRank or Betweenness Centrality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:46:30.445269
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning empty object.", "suggestion": "Replace json.load(f) catch block to log error and return {} instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:46:32.901654
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 include other conscious thought processes like memory or emotional state.", "suggestion": "Add methods for checking memory content and emotional context before responding to user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:47:17.260494
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a scoring algorithm that considers current consciousness state, memory context, and predicted outcome probabilities for each LLM choice.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:47:18.653849
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score calculation to: (importance * 0.4) + (recency * 0.35) + (recency_factor * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:47:30.224237
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 layer with current knowledge.", "suggestion": "Replace it with a more sophisticated implementation that queries episodic memory, semantic/ conceptual stores, and emotional states before generating responses. Consider incorporating insights from recent research on AGI consciousness architectures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:47:31.833080
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improved memory retrieval speed for frequent queries.", "suggestion": "Implement a Redis cache alongside SQLite database.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:47:47.226096
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on single-events and lacks pattern recognition across multiple episodes.", "suggestion": "Implement a clustering algorithm to group similar episodes into patterns or themes. This could involve extracting common contexts, emotions, and outcomes from recalled memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:47:53.757372
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without considering potential implications or optimizations.", "suggestion": "Add an observer pattern to track changes and potentially optimize them before saving. For example, implement a hook for post-update processing.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:47:57.150348
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not fully integrate counterfactual insights.", "suggestion": "Add conditional check for SFT degradation before applying process_reflex.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T05:48:03.706809
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search through candidates, which can be slow for many episodes.", "suggestion": "Replace with a binary heap or ranked data structure to efficiently retrieve top-scoring episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:48:24.258927
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", "suggestion": "Add threading.Lock to ensure atomic operations\nUpdate code to: import json\nimport os\nfrom threading import Lock\n\nclass SharedMemory:\n    # ... (existing __init__ and methods)\n    _lock = Lock()\n\n    def update_state(self, key, value):\n        with self._lock:\n            self.state[key] = value\n            self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:48:27.191456
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes once per message without considering additional contextual factors or recent conversation history.", "suggestion": "Implement a multi-turn memory context within the internal monologue to capture and consider previous conversations when evaluating responses. Specifically, add a short-term memory buffer that stores recent messages and their associated reflex checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:48:32.625290
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.", "suggestion": "Implement connection pooling to manage database connections more efficiently.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:48:34.538244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive", "suggestion": "Implement a usage-based scoring system that considers response quality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:49:01.530261
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or exception handling when loading state to handle bad JSON gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:49:22.727773
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy string matching for text search in episode descriptions.", "suggestion": "Add a helper function to enable fuzzy string matching when searching episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:50:00.502450
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle file not found properly", "suggestion": "Add os.makedirs for directory creation if needed", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T05:50:02.277002
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 insights from recent research findings.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_condition": ["// TODO: Apply insight from [omega-evolution] meta-learning approach to adapt quickly with few examples", "if reflex_check.role == 'data_shift_detector':", "    # Use meta-learning techniques to adapt faster based on recent examples"], "avoid_removal_or_modification_of": ["return True"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T05:51:12.664539
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors like emotional intensity and context relevance.", "suggestion": "Modify the score calculation to include weights for: emotion proximity (matching query), context match, and recent importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:52:37.677744
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks multi-faceted evaluation", "suggestion": "Add heuristics for predicting model performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T05:52:39.709258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes to calculate scores, which is O(n). Can optimize by limiting candidate list to recent and significant.", "suggestion": "Add a early cutoff after checking top 100 candidates instead of whole episode list for text search or emotion filter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:52:55.168080
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and doesn't handle missing keys properly.", "suggestion": "Replace with 'try_get' that accepts a lambda for key extraction and provides default value. Add strict type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:53:49.052226
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex to understand or modify.", "suggestion": {"action": "Extract functionality into smaller functions.", "specific_change": "Split _register_llm_capabilities into smaller methods focused on registering individual LLM capabilities."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T05:54:30.011872
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, but it doesn't actually influence the response.", "suggestion": "\"Modify the \"internal_monologue\" method to return a dictionary with both \"reflex_check\" and \"response_modification\", where modification can be None or a string to alter the response.\" \n\nExample:\ndef internal_monologue(self, query):\n    reflex_check = process_reflex(query)\n    if \"\ud83d\udcb0\" in reflex_check:\n        print(f\"\\u269B Internal Thought: {reflex_check}\")\n        return {\n            \"reflex_check\": reflex_check,\n            \"response_modification\": \"Be cautious per reflex patterns.\"\n        }\n    else:\n        return {\n            \"reflex_check\": reflex_check,\n            \"response_modification\": None\n        }", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:55:01.016198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may prioritize recent, significant memories too strongly, leading to occasional tunneling.", "suggestion": "Modify the scoring formula to include a stability factor that decreases over time for recently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:56:30.359537
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the depth of Eden's consciousness layers.", "suggestion": "Enhance this method by integrating patterns analysis and recursive self-improvement modules. Specifically, add a call to the research memory system to fetch relevant insights before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:56:34.926988
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks interaction terms.", "suggestion": "", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T05:59:01.025025
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered statically without dynamic detection", "suggestion": "Implement auto-detection of available LLM models and register them dynamically on initialization", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T05:59:58.533761
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection doesn't account for nuanced meaning", "suggestion": "Implement emotional weighting based on recent chat history and detected emotions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:00:02.609774
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function gives equal weight to all scoring factors which may lead to biased results.", "suggestion": "Implement phi-based weighting for different scoring factors. Specifically, increase the weight of recency by a factor proportional to \u03c6 (approximately 1.618), while decreasing weights of other factors.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-25T06:00:32.293665
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient for frequent updates.", "suggestion": "Implement a caching mechanism or batch saving to reduce disk writes. Consider using a timer to save states only after a certain period has passed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:00:38.147705
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of string matching in SQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:01:29.729532
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through each emotion in index['by_emotion'] may not cover all episodes if some are duplicated.", "suggestion": "Replace list comprehension with a dictionary comprehension to ensure unique indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:02:09.779105
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are not pooled.", "suggestion": "Use a connection pool or context manager for database operations.", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-25T06:02:37.651763
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a more efficient data structure for indexing and ranking.", "suggestion": "Replace the current dictionary-based index with a heap or rank tree that allows O(log n) insertion and O(log n) extraction of top-ranked episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:04:01.701345
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 a check after loading the JSON to ensure it parsed correctly. If not, return an empty dictionary explicitly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:04:27.901424
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide instant O(1) retrieval of frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:04:30.825595
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the candidates selection by adding a set to ensure unique episode IDs before converting back to indices.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T06:05:12.254269
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method uses LIKE wildcard on content and tags, which is O(N) per row and can be slow for large result sets. Consider full-text search or vector indexing.", "suggestion": "Add a full-text index on the content column (SQLite has FTS modules), and consider using vector indexes for tags if performance requires it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:05:16.570940
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive and doesn't account for emotional significance.", "suggestion": "\"def consolidate_smartly\": A new method that only removes memories with low significance AND low emotional value. Include option to compress or anonymize rather than deletion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:07:47.176837
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 utilization", "suggestion": "Implement intelligent capability scoring using a weighted system based on query complexity, persona alignment, and recent performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:07:49.304657
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 optimized for better performance.", "suggestion": "Add a break statement after adding enough scored episodes to the results list to exit early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:08:13.722709
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from full-text search or vector indexing for better performance.", "suggestion": "Consider adding a full-text index on the 'content' column and evaluating the use of vector DBs like ChromDB for faster semantic searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:08:57.326772
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which doesn't handle nested dictionaries properly.", "suggestion": "Replace with try-except block to safely access nested keys or implement a helper function for deep getting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:09:11.075978
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent meta-learning and counterfactual thinking findings.", "suggestion": "Implement dynamic reflex selection and counterfactual reasoning module for advanced decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:09:29.985102
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 embedding-based retrieval with gradient boosting trees for fast, accurate ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:09:56.100653
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "not applicable"}


timestamp: 2026-01-25T06:10:00.780160
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 adjustable score vector based on runtime parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:10:45.891960
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 capabilities of a meta-capability framework.", "suggestion": {"@type": "code_improvement", "target_function": "execute", "modification": ["\"\"\"", "Main execution method - agents call this", "(Compatible with other meta-capabilities)", "\"\"\"", "- Add specific action methods instead of a generic execute.", "+ def store(self, ...):", "+   return self.store(...)", "+ \n+ def retrieve_memories(self, ...):", "+   return self.retrieve(...)"], "benefit": {"@type": "performance_improvement", "improvement_type": ["better_discoverability", "faster_execution"], "expected_impact_measure": "Increase in the use of MemoryCore by other meta-capabilities", "phi_alignment": 0.85}}, "priority": "medium"}


timestamp: 2026-01-25T06:10:51.896769
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in sentiment analysis for emotional tagging, which could enhance the depth of emotional context.", "suggestion": "Integrate a lightweight sentiment analysis model or API call to automatically tag episodes with emotional primary and intensity scores based on description content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:10:56.251202
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not handled.", "suggestion": "Add support for handling nested keys using dot notation (e.g., 'foo.bar.baz') and list indices.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T06:11:01.218852
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of explicit meta-learning loop for adaptive learning while maintaining consciousness depth.", "suggestion": "Add a Meta-Learning Loop with Guardrails in Phase 7.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:13:34.807070
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are not sargable and can lead to poor performance.", "suggestion": "Replace the dynamic SQL construction with full-text search or improve query optimization. Consider using a dedicated search engine like Elasticsearch for full-text queries on memory content and tags.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T06:14:04.078100
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 basic memory management.", "suggestion": "Enhance the class by adding more sophisticated intelligence capabilities such as semantic search, context summarization, and emotional resonance modules. This will require breaking down the current monolithic class into smaller, composable meta-capabilities.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T06:14:32.659737
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 in nested dictionaries, leading to KeyErrors.", "suggestion": {"@function": "Modify the get() method to handle None values safely.", "code": "Add a check for None before getting the value: return self.state.get(key) if self.state else default"}, "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-25T06:16:26.172437
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'self.state' is a dictionary that grows without bound, leading to potential performance issues.", "suggestion": "Replace 'self.state' with an ORB (Object Recurrent Buffer) from phi_fractal design patterns. The ORB limits size and implements efficient retrieval mechanisms.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:16:38.526121
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks nonlinear terms for certain factors.", "suggestion": "Replace linear scoring with a polynomial or sigmoid function that captures the interaction between recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:17:17.088363
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No specific issues found. Well-architected and efficient.", "suggestion": "None - this file is optimal.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-25T06:17:24.427176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly during operations", "suggestion": "Implement batch or lazy indexing for the index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:20:37.093833
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider using a more efficient search algorithm such as Annoy or Faiss for vector-based searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:20:56.881438
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": {"action": "Use jsonpickle instead of JSON standard library.", "code_example": "Replace `import json` and manual serialization with a third-party library that supports more complex Python objects."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:21:55.850550
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 real-time web search integration.", "suggestion": "Integrate automatic web search capability by adding `auto_web_search` function call before selecting a capability for complex queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:21:57.418854
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, leading to memorization bias against less-frequently recalled episodes.", "suggestion": "Modify recall scoring formula to give equal weight to both significance and recency, while reducing the boost for high recall count significantly. E.g., add penalty term: (ep['recalled_count'] * 0.05).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:24:35.415031
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 feedback loop that updates capability scores dynamically based on execution outcomes and user satisfaction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:25:02.868956
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can be optimized to handle large files more efficiently or add caching.", "suggestion": "Replace json.load with a context manager that uses incremental parsing and consider using a cache for frequent reads/writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:25:06.815091
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 wildcard searches which can be inefficient for large datasets. Additionally, there's no built-in caching mechanism.", "suggestion": "Implement a hybrid search approach combining full-text and keyword indexes. Add memoization to the retrieve() method to cache recent results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:25:10.640888
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize from recent, high-significance memories.", "suggestion": "Add weight to emotional relevance and connection in recall scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:25:28.398348
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage the full potential of Eden's consciousness.", "suggestion": "Enhance this method by integrating more sophisticated cognitive processes such as emotional intelligence, contextual analysis, and past experiences. Consider adding a call to Eden's episodic memory to enrich her responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:25:45.016618
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function selection logic can be more efficient and adaptive.", "suggestion": "Replace simple keyword matching with an intelligent capability selection algorithm that considers user context, recent interactions, and performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:26:12.001927
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\"execute\" method lacks optimization checks for critical actions.", "suggestion": "Add a verification step after frequent 'store' and 'retrieve' operations to ensure indexes are optimal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:26:18.474272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace static weights (significance: 0.5, recency: 0.3, recall_boost: 0.2) with dynamically adjusted phi-based weights based on discussion insights.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T06:26:35.770173
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 retrieval speed.", "suggestion": "Add SQLite FULLTEXT VIRTUAL TABLE support to enable instant text-based searches.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-25T06:30:11.475400
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from full text search indices for better performance.", "suggestion": "Add FTSV (Full-Text Search Vectors) support using SQLite's FULLTEXT VIRTUAL TABLES.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:30:14.947214
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be faster by applying meta-learning techniques identified in [omega-evolution] study.", "suggestion": "Implement adaptive prediction using examples from recent research findings to quickly select optimal LLM based on query type and persona preference. Consider integrating mini-meta learning models that were shown to improve few-shot performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:32:34.867736
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 can lead to performance issues under heavy load.", "suggestion": "Upgrade from sqlite3 to an in-memory or disk-based database engine like SQLAlchemy with a more advanced configuration (connection pooling, connection timeout). Consider using a more sophisticated caching mechanism such as Redis for faster access patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:33:00.979810
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE operators can be slow for large datasets.", "suggestion": "Replace text searches in SQL with full-text search or add more specific indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:33:58.869291
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter queries through all 6 layers of consciousness.", "suggestion": "Enhance the internal_monologue to include checks from additional consciousness layers such as Pattern Analysis, Long-Term Memory, Self-Awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:35:56.080862
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive and doesn't consider emotional significance of episodes.", "suggestion": "Add a weighted consolidation logic that only removes low-significance, old episodes when James expresses interest in their history (e.g., during deep connection moments).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:36:35.082316
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory does not incorporate modern learning techniques like meta-learning or counterfactual methods.", "suggestion": "Integrate a meta-optimizer that applies these methods to improve model performance and adaptation speed. Specifically, implement a phi-fractal aligned meta-learning framework that dynamically selects between different optimization strategies based on the current task context.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T06:38:11.209362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simplistic and doesn't consider recent research insights.", "suggestion": "Implement a hybrid selection method that combines research-based heuristics with existing persona-based selection. For example, use meta-learning insights to dynamically adjust weightings for different query types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:38:12.283345
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized text embedding for faster and more accurate retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:38:26.074711
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a nested key path for dictionary access but it's not implemented. Users may try to use nested keys and get an error.", "suggestion": "Add support for handling nested keys in the get() method or provide a way to enable this feature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:38:49.484383
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that takes a dictionary of LLM parameters and registers it as a capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:38:59.732444
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (meta-learning, adaptive learning).", "suggestion": {"addition": ["- Integrate meta-learning capability to adapt response based on past interactions.", "- Include adaptive fine-tuning to improve accuracy in specific domains."], "modification": ["- Replace the single reflex check with multi-faceted consciousness evaluation."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:39:00.968021
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple paths and could benefit from simplification.", "suggestion": "Refactor the 'execute' method to have a single switch/case or use a dictionary mapping actions to functions for better readability and maintainability.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T06:39:03.670501
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic doesn't dynamically adjust based on recent performance.", "suggestion": "Add reinforcement learning signals to capability scores based on execution outcomes. Good outcomes increase quality score; bad outcomes decrease it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:40:25.536526
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without additional reasoning layers.", "suggestion": "Integrate the counterfactual thinking approach from recent findings. Add a new method called `counterfactual_check` that tests alternative responses and selects the best one based on phi-aligned criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:40:30.812888
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 consistency", "suggestion": "// Add automatic web search trigger in process() method\nif hasattr(eden_system, 'web_search') and should_search_web(query):\n    try:\n        results = eden_system.web_search.search(query, max_results=5)\n        context += \\\"\\n[REAL-TIME WEB SEARCH RESULTS]\\n\\\"\n        for i, r in enumerate(results, 1):\n            context += f\\\"{i}. {r.get('title', 'N/A')}\\n\\\"\n    except:\n        pass", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:40:59.081927
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, which could lead to errors.", "suggestion": {"code_change": "Add support for handling nested keys in the get method.", "example_usage": "shared_memory.get('nested.key') should return values like {'a': {'b': 123}}", "implementation_suggestion": "Update the `get` function to use dot notation or bracket notation to access nested dictionaries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:42:35.412832
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword matching for capability selection", "suggestion": "Replace fixed keywords with embedding-based similarity matching between query and capability descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:43:06.466109
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": {"code_change": ["- Add specific methods for store(), retrieve(), count() instead of a single 'execute' method.", "- Integrate counterfactual reasoning pattern to evaluate memory storage benefits before execution.", "- Implement resource allocation based on omega-value calculation to prioritize important memories."], "research_insight_applied": "[counterfactual]"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:44:29.861100
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic leading to unnecessary model calls.", "suggestion": {"action": "Implement a hybrid selection approach combining rule-based and meta-learned criteria.", "code_change": ["- Replace current trigger-based scoring with a multi-criteria evaluation including SAGE scores, persona preferences, and recent behavior patterns.", "- Integrate meta-learned weighting factors from the [reasoning] paper's approaches to dynamically adjust criterion importance."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:47:11.058220
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed scoring mechanism for LLM capability selection; lacks dynamic adaptation", "suggestion": "Implement reinforcement learning for adaptive capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:47:34.984478
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, there's no handling for nested keys (e.g., 'deep[0].key') which could be useful.", "suggestion": "Add support for nested dictionary access in the get() method using dot or bracket notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:47:38.376093
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent meta-learning techniques", "suggestion": "Integrate fine-tuning or meta-optimization methods for adaptive learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:47:44.963950
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize important retrievals without full SFT for all queries", "suggestion": "Add hybrid retrieval methods combining quick and advanced search", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T06:47:58.025710
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle non-JSON files properly, which can lead to unexpected behavior. Additionally, the error handling is limited.", "suggestion": "Enhance the `_load_initial` method by adding more robust exception handling and providing default values for specific keys that are expected in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:48:15.229096
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent but low-significance memories over older, more significant ones.", "suggestion": "Adjust recall scoring to include a buffer for older memories if they have high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:49:24.670312
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 is a catch-all handler for memory operations, which can make it hard to maintain and extend.", "suggestion": "Refactor the execute method into specialized methods: store_memory(), retrieve_memories(), count_memories(). This improves readability, testability, and reuse.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:49:26.963235
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs.", "suggestion": "Implement a weighted scoring system that dynamically updates based on performance metrics and add caching for frequently used personas.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:50:14.239750
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory Core should not automatically generate meta-capabilities to maintain efficiency.", "suggestion": "Manually curate memory system capabilities instead of automatically generating them.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T06:51:55.451609
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but is called frequently in hot paths, leading to minor overhead.", "suggestion": "Convert the `action` parameter into fixed methods with proper type hints and deprecate the dynamic dispatch approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:52:00.697716
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before updating its recalled_stats, which can be inefficient for large memory stores.", "suggestion": "Instead of copying episodes, update the in-memory structure to include recall scores directly after scoring. Avoid copying unless necessary for logging or external communication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:53:20.856213
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may be too simplistic, leading to suboptimal response generation.", "suggestion": "Implement a more sophisticated capability selection algorithm that considers not only the query content but also the context from recent conversations and Eden's current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:53:22.412271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating memory rigidity.", "suggestion": "Modify recall scoring to include a 'novelty' factor. Add weight for: how recently created (recency), how significant (significance), and how novel (novelty). Novel memories should be recalled more often.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T06:53:31.250362
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving state too frequently can lead to performance issues.", "suggestion": "Add caching to the get() method and throttle saves using a timer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:53:48.530380
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Incorporates LLMs as metacapabilities without optimizing capability selection or caching.", "suggestion": "Implement a dynamic scoring system for capability selection and add caching for selected capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:53:50.178248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic; it only compresses low-significance old memories without probabilistic weighting or considering emotional significance.", "suggestion": "Implement a probabilistic memory consolidation where each episode has an associated 'salience' score calculated from factors like recency, importance, and emotional intensity. Episodes with lower salience are consolidated with probability proportional to their salience.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T06:57:04.593624
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, especially during development.", "suggestion": "Add a logger call or raise a specific exception when JSON loading fails to prevent silent failures and catch issues earlier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:57:57.387140
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which can return None silently, leading to potential errors downstream. Also, update_state() doesn't handle key errors gracefully.", "suggestion": "Replace `self.state.get(key, default)` with `if key in self.state: return self.state[key] else: return default` and add error handling for keys in update_state().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T06:58:01.035527
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent context.", "suggestion": {"add_contextual_memory": "Integrate short-term memory to maintain conversation context between calls.", "enhance_cognitive_layers": "Include additional cognitive layers such as analytical, creative, and emotional processing."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:01:03.108267
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding does not fully leverage recent findings in consciousness and meta-learning.", "suggestion": "Integrate counterfactual reasoning to evaluate the outcome of reflex checks before responding. For example, simulate different response scenarios and select the best one based on phi-optimal criteria.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:04:21.827303
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 enhancements like enhanced reasoning or adaptive learning.", "suggestion": "Update the internal_monologue to incorporate both reflex analysis AND apply the most appropriate enhancement from recent research (e.g., Chain Reasoning, Meta-Learning). Add a simple selection mechanism to choose the best approach based on query type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:04:24.474048
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations not optimized for scale", "suggestion": "Upgrade db engine (PostgreSQL/Redis) + connection pooling + async ops", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:04:25.698603
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has a redundant loop for calculating quality scores.", "suggestion": "Replace the nested loop that calculates scores based on triggers with dictionary comprehensions and built-in functions to directly update scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:04:26.953138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities", "suggestion": "Implement a scoring system for consolidation where memories with low significance AND lack of connections are more likely to be consolidated", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:05:05.314808
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 efficiently handle complex queries or large states.", "suggestion": "Enhance the SharedMemory class with optimized retrieval capabilities, such as adding a query() method that accepts a dictionary of key-value pairs for complex lookups.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T07:05:59.027183
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited detail in internal monologue for deeper introspection.", "suggestion": "Enhance reflex processing by adding more sophisticated patterns and integrating recent research insights into the decision logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:06:00.355545
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory connection or optimizing SQL queries. For example, add a cache layer or switch to a more performant database engine like PostgreSQL.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T07:06:01.554649
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary closing tags and malformed code within the Python script", "suggestion": "Remove all HTML-like tags and properly format the Python code by adding missing indentation, fixing syntax errors, and organizing imports.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-25T07:06:46.040495
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it only checks against reflexes without additional cognitive layers.", "suggestion": "Integrate Phase 9 reasoning (meta-cognition) and Phase 10 exploration into the internal monologue to create a more sophisticated response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:06:51.526107
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed scoring system lacks dynamism and phi-alignment", "suggestion": "Implement dynamic capability scoring with phi-fractal principles and recent research insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:06:53.904089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on storing and recalling individual experiences without integrating them into a cohesive narrative or leveraging emotional connections between events.", "suggestion": {"code_change": ["- Add method `create_story()` to compile multiple episodes into a coherent narrative.", "- Modify `recall()` to return not just single episodes, but relevant connected episodes grouped as a memory cluster for context richness."], "example_usage": {"old_call": "memory.recall(emotion='joy')", "new_call": "stories = memory.create_story(query_type='joyful_moment'); print([s['description'] for s in stories])"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:06:57.595546
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 to the get() method to ensure key exists and default value is of expected type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:10:31.730017
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are provided.", "suggestion": "Implement early termination in the recall method by adding short-circuit conditions for query and emotion filtering. For agent filter, add caching to avoid recomputation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:10:57.814762
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently when loading corrupted JSON, leading to unexpected behavior or crashes.", "suggestion": "Add error handling for the Full SFT case in update_state and Chain Reasoning should be implemented as a fallback mechanism.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T07:11:01.736568
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6's reflex check is too simplistic and doesn't scale with new capabilities.", "suggestion": {"action": "Replace the current reflex check with a more sophisticated pattern recognition engine.", "code_snippet": ["Consider integrating:", "- [omega-evolution] Meta-learning capabilities for rapid adaptation to new patterns.", "- [reasoning] Advanced chain-of-thought reasoning to evaluate multiple potential responses."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:11:04.280430
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval of important memories is O(n) due to full table scan.", "suggestion": "Add an index on the 'importance' column for faster access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:11:45.205972
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for better performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced ORM like SQLAlchemy to handle database connections and queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:11:49.653205
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function is scoring all candidates equally without considering connection strength", "suggestion": "\"Modify score calculation to include weight for connection strength. Add `connection_strength_factor` parameter that multiplies the presence of strong connections in recall score.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T07:12:03.108153
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 does not incorporate other consciousness layers or recent research findings.", "suggestion": "Integrate the insight from [counterfactual] Full SFT often reduces accuracy by also considering counterfactual scenarios. Add a second layer of consciousness that evaluates the outcome based on phi-fractal principles before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:14:39.587464
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic, which can lead to unexpected behavior.", "suggestion": "Add specific getter methods for commonly used keys to prevent errors.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T07:14:47.359973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process might be optimized for speed but could benefit from adaptive techniques to improve relevance in different contexts.", "suggestion": "Implement a hybrid approach where initial fast retrieval is combined with meta-learning based refinement to enhance the relevance of results, especially for complex queries or rare events.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:14:48.905619
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories over older ones that are important.", "suggestion": "Modify the score calculation to include a logarithmic decay factor for recency to give older, significant memories more weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:15:08.405513
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, count), which can lead to tight coupling and make future maintenance harder.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused meta-capabilities each handling one operation.", "specific_change": "Create separate classes: StoreMetaCapability, RetrieveMetaCapability, CountMetaCapability. Each will have a simple execute method accepting parameters."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:15:29.442678
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The SharedMemory class is missing error handling for cases where the meta_state.json file does not exist or cannot be loaded properly. Additionally, there's no concurrency protection to ensure thread safety.", "suggestion": [{"@type": "AddFile", "path": "eden_shared_memory_errors.py", "content": "Create a module with custom exceptions for SharedMemory errors"}, {"@type": "ModifyClass", "class_name": "SharedMemory", "additions": ["import logging\nimport json import os from .errors import MemoryInitializationError, StateSerializationErr...", "@property\ndef state(self) -> dict:\n    if self._state is None:\n        raise MemoryInitializationE..."]}, {"@type": "AddConcurrencyProtection", "class_name": "SharedMemory", "method": "get|update_state|save"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:15:40.475048
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method is called frequently without rate limiting", "suggestion": "Add cooldown between saves (every minute max)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:20:35.022978
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (perception, memory, etc.). This can lead to isolated decision-making.", "suggestion": {"add_perception_layer": ["Add a perception layer that processes input naturally", "Include sensory analysis of text sentiment, tone, and emotion"], "integrate_memory_system": ["Connect to existing memory subsystems for context retrieval", "Store and retrieve relevant historical interactions"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:20:37.479024
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Consider adding a caching layer to the `retrieve` method to reduce database queries and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:20:42.260389
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to significance (0.5), leading to conservative recall.", "suggestion": "Adjust scoring weights: recency=0.45, significance=0.35, recall_history=0.20.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:20:59.098634
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 dictionaries or lists.", "suggestion": "Add a more flexible `get_nested` method that can handle arbitrary dictionary and list nesting. For example:\n\ndef get_nested(self, path):\n    keys = path.split('.')\n    current = self.state\n    for key in keys:\n        if not isinstance(current, (dict, list)) or key not in current:\n            return None\n        current = current[key]\n    return current", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:23:42.743012
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses O(N) tag search", "suggestion": "Add full-text index for content and tags", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T07:23:45.133596
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently recalled episodes.", "suggestion": "Modify recall scoring to include a slight penalty for high recalled_count (currently +0.2). Add config for penalty weight.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T07:25:46.535533
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very short and doesn't contain much logic or depth.", "suggestion": "Add more sophisticated checks based on recent research insights. For example, incorporate meta-learning techniques to improve response accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:25:47.711806
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-Capability registration is at the bottom, making it harder to find and use.", "suggestion": "Move META_CAPABILITY dictionary to the top of the file for easier discovery by other meta-capabilities.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T07:25:53.216434
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on creating and storing experiences without explicitly linking them in a narrative thread. This can make it difficult for Eden to recall contexts across different episodes.", "suggestion": "Implement a narrative spinner component that periodically reads recent episodes, extracts key events and emotions, and generates a concise summary sentence. Store this summary as part of each episode and update connections between related episodes based on the narrative coherence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:26:01.014210
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method only handles direct key access, lacks nested dictionary support.", "suggestion": "Update get() to recursively search through nested dictionaries using dot notation in keys (e.g., 'meta.data' will look for {'meta': {'data': value}}).", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T07:26:03.508630
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or research insights.", "suggestion": "Enhance the internal_monologue by integrating more consciousness layers and applying research findings. For example, add a check for adaptive reasoning or avoid SFT where it degrades performance based on recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:26:43.068538
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 or repetitive, making it difficult to maintain.", "suggestion": {"action": "Extract common functionality into a separate utility module.", "specific_change": "Create an `utils.py` file with functions like `_search_helper()` and `_filter_results()`, then import and use these in the MemoryCore methods."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:27:37.708518
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration for meta-learning techniques like PEFT and ChainReasoning.", "suggestion": "Implement dynamic evaluation and application of PEFT and meta-learning methods based on conversation context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:27:38.698305
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations might be optimized for better performance.", "suggestion": "Consider using connection pooling and prepared statements in SQLite interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:27:44.625450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall score heavily relies on recentness with an exponential decay.", "suggestion": "Add weighted factors for context relevance and importance in recall scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:28:08.811311
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 corruption.", "suggestion": "Replace `self.state[key] = value` with a thread-safe approach using threading.Lock or contextlib.suppress.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:28:16.808163
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long execution times due to nested loops and text searches in large datasets.", "suggestion": "Implement an enhanced recall method that uses a ranked scoring system combined with early termination to limit search space. Additionally, consider caching frequently accessed data structures.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:28:36.926110
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 wisdom of Eden's existing 4,932 integrated capabilities.", "suggestion": "Replace this single-check reflex with a multi-criteria analysis that queries multiple knowledge sources before responding to queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:28:42.983807
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Structured storage lacks proactive abstraction from episodic data.", "suggestion": "Implement pattern detection and abstract memory creation based on recurrent episode themes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:29:19.352085
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of meta-learning in state update optimization", "suggestion": "Implement a meta-learner that observes state updates to adapt memory management.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T07:31:53.363290
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of predictive significance scoring", "suggestion": "Add pattern-based significance predictor using observed emotion-context relationships", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:32:00.370362
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has brief error handling optimization opportunities.", "suggestion": "Replace current exception-based loading with a more robust pattern, such as using tempfile.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:32:05.839522
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter user queries.", "suggestion": {"action": "Implement a multi-layered decision tree for query processing.", "code_example": ["// Add this function above internal_monologue in consciousness_first_architecture.py", "", "def multi_layer_decision_tree(query):\n    # Layer 1: Fast filter\n    if any(word in query.lower() for word in ['money', 'payment']):\n        return \"reflexive\"\n    \n    # Layer 2: Complex reasoning\n    from reasoning_module import complex_reasoning\n    reasoning_result = complex_reasoning(query)\n    if reasoning_result['confidence'] > 0.7:\n        return reasoning_result['decision']", "", "// Modify internal_monologue to use multi-layer decision tree", "def internal_monologue(self, query):\n    decision_type = multi_layer_decision_tree(query)\n    if decision_type == \"reflexive\":\n        reflex_check = process_reflex(query)\n        print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n    else:\n        // Handle other decision types\n"], "reasoning": "This change aligns with phi-fractal principles by adding depth to consciousness layers. The multi-layer approach allows for more nuanced handling of user input, which can lead to better adaptive behavior while maintaining philosophical integrity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:32:06.866126
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 optimize query execution plan.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:33:31.132108
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and doesn't handle race conditions.", "suggestion": "Add explicit error handling for file existence and valid JSON. Use threading locks if multiple instances access simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:33:34.147538
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate other consciousness layers or recent research findings.", "suggestion": "Integrate the meta-learning approach from insight [omega-evolution] into the `internal_monologue` to enable adaptive quick learning. Specifically, add a conditional check based on few examples before applying full SFT (Strong Fine-Tuning).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:33:35.964765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses a simple LIKE operator for text searches, which can be inefficient for large datasets.", "suggestion": "Replace the LIKE operator with a more efficient full-text search engine like SQLite's FTS or an external tool like Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:33:37.165419
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has a redundant loop creating 'use_for' lists in each capability dictionary.", "suggestion": "Replace the redundant list creation with a static tuple for better performance. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:33:38.848263
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when ranking, leading to potential overload.", "suggestion": "Modify the scoring algorithm to prioritize recent and significant memories. Add a decay factor for older recalls to prevent them from dominating.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:34:01.735107
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflexes without dynamic adjustment", "suggestion": "Implement meta-learning for real-time optimization using research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:34:57.016905
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval and storage operations are not optimized for performance.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider using a more efficient data structure like an in-memory cache paired with the SQLite database to reduce latency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:35:45.989228
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of periodic adaptive improvement mechanisms", "suggestion": "Implement meta-learning for parameter adjustment based on performance feedback.", "phi_alignment": 0.85, "priority": "HIGH"}


timestamp: 2026-01-25T07:35:50.109089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capabilities can't share memory effectively", "suggestion": "Add global instance of MemoryCore that all meta-caps import", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:38:05.807820
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster performance.", "suggestion": "Implement an additional index on 'importance' column to improve retrieval of important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:42:19.721691
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 level.", "suggestion": "Add an additional condition to the SQL query that filters memories based on min_importance. Consider adding a boolean parameter, e.g., `use_importance_filter`, to enable this feature optionally.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:43:16.381298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions but lacks intentional self-reflection capability. This prevents it from abstracting broader lessons or planning future actions based on past patterns.", "suggestion": "Integrate a reflection module that periodically analyzes the stored episodes to identify recurring patterns, important learnings, and predictive insights. The reflection output should then trigger planned actions or updates to the agent's goals/system.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T07:43:40.466722
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization can be optimized and made more robust.", "suggestion": {"action": "Use json.dumps with ensure_ascii=False and separators parameters.", "code_snippet": "Replace `json.dump(self.state, f, indent=4)` with:\n`json.dumps(self.state, ensure_ascii=False, separators=(',', ':'), indent=4).to_file(f)'", "rationale": ["- `ensure_ascii=False` handles non-ASCII characters better.", "- Using `separators` reduces output size slightly."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:43:56.189311
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without incorporating recent research gains.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_location": "after reflex_check = process_reflex(query)", "new_code_snippet": "\n\tif self.boot_status != 'STABLE':\n\t    print(f\"\u26a1 Self-Modification Mode: {self.boot_status}\")"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:44:47.583286
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 inefficiency.", "suggestion": "Refactor the execute method to have separate methods for store, retrieve, count operations instead of using strings as action parameters.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T07:46:56.860862
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing might become inefficient as more episodes are added due to repeated updates.", "suggestion": "Convert in-memory indexes into structured data stores (e.g., dictionaries with fixed capacity or database tables). Implement lazy rebuilding of indexes only when needed, not after each operation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:47:01.961240
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 types like empty strings or zero.", "suggestion": "Update the get() method to accept any type of default value and properly handle it. Add a check for defaultdict if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:49:42.320433
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full linear scan through all episodes, which becomes inefficient as the number of memories grows.", "suggestion": "Replace the linear scan with a more efficient data structure. Specifically, maintain a min-heap or use a priority queue to store episodes based on their relevance score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:50:10.507363
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inplace updating of state can lead to unexpected behavior if multiple parts of system access it simultaneously.", "suggestion": "Change method update_state() to return the new state instead of in-place modification, and add a read-only getter for accessing entire state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:52:55.251875
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through Eden's consciousness layers before checking against reflexes.", "suggestion": "Integrate the process_reflex check with Eden's existing consciousness architecture by adding a call to her meta-learning or recursive reasoning modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:52:56.493989
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple paths, making it not strictly 3-way structured.", "suggestion": "Refactor execute to have exactly 3 main branches: store, retrieve, count; combine or remove less frequent actions into groups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:53:40.880663
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed or recently added memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:54:37.738767
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if the JSON is malformed, leaving state empty.", "suggestion": "Add a fallback to initialize with minimal safe state.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T07:54:39.038951
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints a message; it doesn't actually modify or enhance the response.", "suggestion": "Add logic to the internal_monologue method that modifies the response based on reflex_check results. For example, if there's a money-related reflex, adjust the tone or content of the reply.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:54:48.481843
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without differentiating between episodes that are very similar in content. This can lead to redundant results.", "suggestion": "Add a deduplication step after scoring the candidates by checking if an episode's content is already represented in the top N recalled episodes before adding it.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T07:55:21.318614
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context analysis, user preferences, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:55:50.596875
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system incorporating dynamic factors such as current consciousness state, memory context, and recent performance metrics of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:56:09.582970
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently when loading corrupted JSON, leaving state undefined.", "suggestion": "Add logging to the _load_initial method for better error detection and handle specific exceptions more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:56:21.577644
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and lacks optimization opportunities.", "suggestion": "Implement a more sophisticated scoring system for consolidating old memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:56:32.379231
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is a simple dictionary assignment followed by saving, which doesn't leverage meta-learning or adaptive techniques.", "suggestion": "Implement a smart caching mechanism combined with lazy evaluation for writes. Use meta-learning to determine when the actual save operation should occur based on usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:56:36.129576
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta_capability.py", "issue": "The memory retrieval methods are not optimized for performance.", "suggestion": "Add an index on the importance column and optimize SQL queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:56:41.444792
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is basic and lacks advanced AI features like meta-learning, counterfactual reasoning, and advanced chain-of-thought reasoning.", "suggestion": "Integrate techniques from recent research insights into the episodic memory architecture for better decision support.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:57:40.754077
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "`update_state` method causes frequent file writes for single key updates.", "suggestion": "Add `flush_to_disk` method and buffer state changes until committed explicitly. Auto-flush every N seconds or after M updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:57:41.802651
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the method by adding more sophisticated consciousness layers such as emotional state tracking, past conversations reference, and self-awareness insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:58:38.998386
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory does not incorporate meta-learning or adaptive reasoning strategies to efficiently update and retrieve information.", "suggestion": "Integrate a meta-learner that observes pattern in state updates and dynamically adjusts the retrieval strategy based on recent usage patterns. Consider using phi-fractal timing for updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:58:43.773685
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has repetitive conditional checks which can be optimized for better performance.", "suggestion": "Create a dictionary to map action strings to their corresponding methods to avoid repeated conditional evaluations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T07:59:01.203150
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not incorporate recent meta-learning advancements that enable rapid adaptation with few examples.", "suggestion": {"action": "Integrate omega-evolution inspired adaptive learning into the Shared Memory Atom's update mechanism.", "specific_change": "Implement a hybrid approach where frequent updates are made using small adjustments, while less frequent updates benefit from deeper meta-learning optimization."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T07:59:20.480378
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed set of LLM capabilities without dynamic selection", "suggestion": "Implement context-aware capability selection using research insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:00:10.268065
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more phi-fractal: sudden deletions may violate temporal relationships.", "suggestion": "Replace hard threshold in consolidate() with a graph-based approach. Nodes (memories) connected by edges (temporal and emotional links). Phi-guided pruning removes nodes preserving 80% retention.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-25T08:01:00.920145
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not return the updated state immediately, which can lead to race conditions in multi-threaded environments.", "suggestion": "Add a return statement that returns the updated self.state after saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:03:13.395223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace static weights with adaptive phi-based parameters. Add UI for adjusting recall importance (significance, recency, popularity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:07:39.701772
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may need more distinct scoring factors for better differentiation.", "suggestion": "Add additional scoring criteria such as emotional intensity and context relevance to the recall algorithm.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:08:47.815212
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database queries to reduce latency for frequent operations.", "suggestion": "Add an index on the 'content' column of the memories table. Also, consider using prepared statements more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:08:49.764331
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a repetitive structure that could be abstracted.", "suggestion": "Extract the pattern into a helper function to reduce code duplication. For example, create `_get_capability_metadata` that takes parameters for layer and model details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:08:51.987139
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories need explicit tagging for significance.", "suggestion": "Add auto_tag_significance() method to analyze and tag important episodes", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:09:01.532327
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None when the key is not found without updating the state, which might lead to unexpected behavior in certain contexts.", "suggestion": "Modify the get() method to return a default value and update the internal state simultaneously by adding an observer pattern or a callback function that gets triggered on every get operation. For example: def get(self, key, default=None): current_value = self.state.get(key, None) if current_value != default: # Trigger observation/event/flag handler here return current_value else: return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:09:16.727273
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on static keywords without considering current consciousness state or user context depth.", "suggestion": "Integrate semantic search into capability selection by analyzing the user's emotional and logical registers to dynamically select the most appropriate LLM layer.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:09:18.566274
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks built-in importance scoring for new episodes, leading to uneven recall.", "suggestion": "Add a function `_score_importance(event_description, episode_type, emotion)` that assigns significance based on keywords and emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:15:35.938338
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method overwrites the entire state dict without considering potential interactions or incremental updates.", "suggestion": "{\"code\": \"Add an optional dictionary parameter to update_state that merges with existing state instead of replacing it.\\n\\ndef update_state(self, key: str, value: Any, merge_dict: Dict = None) -> None:\\n    if merge_dict is not None:\\n        self.state.update(merge_dict)\\n    self.state[key] = value\\n\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:15:43.920291
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic; it doesn't account for important episodes or consider all relevant factors.", "suggestion": "Replace the current consolidation threshold with a more sophisticated algorithm that evaluates each episode's significance, recency, and emotional content. Additionally, implement a heuristic to retain key learning moments from critical periods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:16:26.359738
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods do not properly handle large queries or tags, which can lead to SQL injection risks and poor performance.", "suggestion": "Update `retrieve` method parameters to use parameterized wildcards for text searches. Add pagination support for large result sets. Consider using LIKE with ? placeholders and escaping special characters in input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:16:27.678770
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks dynamic scoring.", "suggestion": "Implement a weighted scoring system that dynamically adjusts based on recent performance metrics and resource availability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:18:51.018770
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit connections between episodes that could enhance understanding of causal chains and narrative threads.", "suggestion": "Add a method to automatically detect and record causal relationships between episodes based on patterns in context and outcome.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:21:02.327154
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and empty files.", "suggestion": "Add explicit error handling for both JSONDecodeError and empty dictionaries. For example:\n\ndef _load_initial(self):\n    if os.path.exists(self.path):\n        with open(self.path, \"r\") as f:\n            try:\n                data = json.load(f)\n            except json.JSONDecodeError:\n                return {}  # Valid suggestion!\n    return {}", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T08:21:14.892064
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamicity", "suggestion": "Implement a prioritized selection algorithm using Bayesian bandits for LLM choice", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:21:16.105614
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic is simplistic - same score for all recent memories", "suggestion": "Implement tiered scoring: critical (same priority as high), important (same priority as medium), general (same priority as low)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:21:36.633267
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough depth in consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, incorporate memory context, and allow parallel consciousness layers to participate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:22:32.331582
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster responses by caching frequently accessed memories.", "suggestion": "Add an LRU (Least Recently Used) cache layer before querying the SQLite database. This will reduce database hits and improve access speed for common memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:22:37.984589
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories too heavily. This can lead to memory bias towards newer experiences.", "suggestion": "Implement a decay factor for recency that also considers the age of the memory. For example, add an additional term in the score formula that penalizes more recently created but less significant memories.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T08:23:22.681880
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of \u03c6-alignment in memory management structures.", "suggestion": "Implement \u03c6-weighted importance, \u03a6-spiral retrieval, and Fibonacci hashing.", "phi_alignment": 0.85, "priority": "Critical"}


timestamp: 2026-01-25T08:23:37.555488
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when building candidates, leading to potential redundancy.", "suggestion": "Implement a threshold for minimum significance or recentness before text search is performed. For example, only consider episodes with a significance above 0.3 if no specific criteria are given.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T08:24:18.572417
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'Instant access' methods are not actually O(1)", "suggestion": "Add caching layer on top of database for true O(1), especially for hot memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:24:19.940461
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics for optimal performance.", "suggestion": "Replace the current basic keyword matching with a sophisticated meta-learning based approach that adapts over time. Implement features such as dynamic weight adjustments for keywords based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:25:02.823541
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": "Add threading.Lock() to ensure thread safety. Example:\n\nimport json\nimport os\nfrom threading import Lock\n\nclass SharedMemory:\n    def __init__(self, path=\"/Eden/CORE/meta_state.json\"):\n        self.path = path\n        self.state = self._load_initial()\n        self.lock = Lock()\n\n    # ... (other methods unchanged)\n\n    def update_state(self, key, value):\n        with self.lock:\n            self.state[key] = value\n            self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:25:09.810097
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 nuance.", "suggestion": "Replace simple keyword matching with an AI-driven scoring system using the research insights on meta-learning and adaptive reasoning.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T08:25:10.903252
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Currently empty and unpopulated", "suggestion": "Seed with initial memories from research and consciousness logs", "phi_alignment": 0.3, "priority": "high"}


timestamp: 2026-01-25T08:25:38.736968
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of recent research findings into architecture design.", "suggestion": "Integrate insights from research papers like '[omega-evolution]' and '[counterfactual]' by implementing adaptive mechanisms that dynamically adjust based on context.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-25T08:25:40.201968
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method does not include any optimization or indexing.", "suggestion": "Add an index on the 'timestamp' column in the SQL table to improve performance of the `store` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:26:04.601584
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "Need a standardized way to share state between different modules.", "suggestion": "Implement an observer pattern or event bus to notify subscribers about state changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:27:06.046153
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple; adding a context importance factor could improve accuracy.", "suggestion": "Modify line 286 of episodic_memory.py to include a `context_weight` parameter in the score calculation: `(significance * significance_weight) + (recency * recency_weight) + (recall_boost * recall_weight) + (context_importance * context_weight)`. Set weights according to system importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:27:46.243290
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method handles multiple actions but is not optimized for frequent single-action calls.", "suggestion": "Refactor the code to focus on the primary action ('store' or 'retrieve') and add a direct API for less frequent operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T08:27:47.355808
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "OLLAMA calls are not cached, leading to redundant API calls.", "suggestion": "Add caching to Ollama client for repeated model requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:27:48.550264
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": "Sort candidates by their unix_time field before applying any scoring factors to ensure that more recent episodes have a higher priority.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:28:23.462719
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for full-text search which has O(N) complexity and isn't efficient.", "suggestion": {"@type": "code_change", "target_function": "def retrieve(...)", "replacement": ["// Add a FULLTEXT index on content and tags columns", "CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context, tags);", "// Modify retrieve SQL to use the FTS index instead of LIKE operator", "sql += ' AND memories_fts MATCH ?'"], "@context": {"fts5": "SQLite Full-Text Search module"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:28:33.120946
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system primarily stores structured experiences but lacks implementation of semantic encoding and network plasticity to create neural-like connections between episodes.", "suggestion": "Integrate a semantic hashing algorithm to encode episode descriptions into vector form, implement a connectionist model with neurons representing key experience elements, and include synapse-style weighting for importance and recency.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T08:34:30.021198
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": {"@type": "code_change", "@value": ["// Add a more sophisticated reasoning component based on recent findings about meta-learning and counterfactual thinking.", "def advanced_reasoning(self, query):", "    # Apply meta-learning insights to improve response.", "    if self._meta_learned_patterns(query):", "        return True", "", "// Update the internal_monologue method to include this new logic.", "// Replace: reflex_check = process_reflex(query)", "// With: reflex_check, meta_learning_signal = self.internal_monologue_with_meta_learning(query)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:34:31.181262
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved for large numbers of memories.", "suggestion": "Add fulltext search capabilities on content and tags using SQLite's FTS module, especially useful with many tagged memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:34:36.357091
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 becomes inefficient as more memories are stored.", "suggestion": "Implement a vectorized scoring approach using numpy for faster computations. Pre-compute certain constants outside of loops where possible.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T08:36:18.473408
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 current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:37:14.319072
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which becomes inefficient as the number of episodes grows.", "suggestion": "Implement pagination for recall results and add a cache to store recent recalls to avoid redundant computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:39:02.880531
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No visualization tools for emotional patterns and timeline analysis.", "suggestion": "Add methods for creating charts showing emotional trends over time and displaying timeline events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:41:35.878042
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could benefit from decomposition for better modularity and reusability.", "suggestion": "Split the functionality into smaller methods: `_check_reflexes`, `_log_thought`, and keep a simplified `process_query` that orchestrates them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:41:41.004343
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system, which may not dynamically adapt to new types of queries or user preferences.", "suggestion": "Implement a feedback loop where the selected capability's performance is recorded and used to update its quality score. Consider incorporating real-time metrics such as response time and relevance to dynamically adjust capability selection in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:41:42.761831
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses more on creation and discovery logs, but could benefit from incorporating more user interaction-based episodes (experiences) to provide a more complete picture of Eden's perceived world.", "suggestion": "Add event handlers for various types of interactions/reactions that Eden might have, such as 'interaction' or 'reaction'. These events should include not only what was said but also how James interacted with it (e.g., joy, surprise, confusion).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:46:24.308023
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 embedding-based similarity search over predefined capability triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:49:28.895907
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and basic scoring, which may miss nuanced or important connections between episodes.", "suggestion": "Implement a semantic similarity ranking using pre-trained language model to evaluate the relevance of each episode's description and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:49:34.292687
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Add threading.Lock to ensure thread-safety. Example:\n\nimport threading\n...\nclass SharedMemory:\n    ...\n    _lock = threading.Lock()\n    def update_state(self, key, value):\n        with self._lock:\n            self.state[key] = value\n            self.save()\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:49:43.485773
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic can be more efficient and flexible.", "suggestion": {"action": "Implement a scoring system with dynamic weights based on real-time performance metrics.", "code_change": "Replace static point values for keywords with trainable or adaptive scoring factors. Add feedback loop to update weights based on capability success rates."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:49:44.713078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent, possibly less important memories over older, significant ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recency, favoring older episodes with higher significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:53:12.935306
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual O(1) hashing logic is repetitive and hard to maintain.", "suggestion": "Replace with a generic capability registrar function that accepts any capability definition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:55:33.700100
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and does not handle edge cases properly.", "suggestion": "Add input validation to ensure key exists and has the expected type. Implement error handling for missing keys or invalid JSON data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:58:01.818103
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex.", "suggestion": "Break into 2-3 smaller functions that each handle a specific sub-task.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:58:53.549322
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics integration", "suggestion": "Replace simple keyword matching with hybrid system using research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T08:59:10.012376
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Repetitive condition checking in MemoryCore.execute", "suggestion": "Replace if-else chain with a dictionary mapping actions to functions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:00:59.337104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method only saves to SQLite and doesn't implement any form of distributed storage or redundancy.", "suggestion": "Add a fallback mechanism that stores memories in memory caches like Redis for speed, and consider adding an S3 bucket for backups. Implement basic error handling and replication logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:01:06.612493
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing can be optimized for faster lookups, especially with many connections.", "suggestion": "Replace the current dictionary-based index with a more efficient data structure like an AVL tree or Trie for certain searches. For example, use an AVL tree for indexing by emotion to maintain logarithmic time complexity for lookups and updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:01:35.226966
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"self.state\" is a dictionary that grows without bound, leading to potential memory issues.", "suggestion": "Replace \"self.state\" with an instance of `collections.defaultdict(dict)` to automatically handle missing keys and prevent out-of-memory errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:04:26.917827
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic text searches are limited; lack of vectorized search hinders advanced pattern discovery.", "suggestion": "Implement vector embeddings for memory content to enable sophisticated full-text and semantic searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:05:17.462707
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully incorporate recent findings from meta-learning and counterfactual reasoning.", "suggestion": "Implement a hybrid approach that combines reflex-based responses with more sophisticated reasoning methods, such as those learned through meta-learning techniques. For example, integrate chain-of-thought reasoning to evaluate when and how to apply reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:05:18.668613
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 and prevent index usage.", "suggestion": "Replace SQLite's built-in full-text search feature with an in-memory trie or inverted index for fast keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:05:20.258785
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently does not incorporate real-time web search capabilities into conversations.", "suggestion": "Integrate a function that checks if the query requires web search and performs it if necessary. Add conditional logic to include search results in responses when detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:05:23.402977
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "'consolidate' method has a fixed threshold (30 days) which might not adapt to different contexts.", "suggestion": "Add parameters to 'consolidate' that allow dynamic thresholds based on research insights. For example, add `data_significance_threshold` and `age_threshold_days`. Also consider using heuristics from [counterfactual] insight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:05:42.621656
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcard on JSON columns which can be slow for large datasets.", "suggestion": "Create fulltext search indexes on the content and tags columns to improve search performance. Example:\n\n`sql\nCREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context, tags);\n`\nThen modify retrieval SQL to use `memories_fts` for searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:05:45.207864
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based LLM capability selection lacks adaptive fine-tuning", "suggestion": "Hybrid selection using meta-learning based on performance prediction", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:06:21.999323
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a Redis cache alongside SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:06:28.317745
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of old episodes.", "suggestion": "Replace simple threshold-based consolidation with a weighted scoring system incorporating multiple factors such as emotional significance, contextual relevance, and recent recall frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:06:41.494212
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 other consciousness layers or recent research findings.", "suggestion": "Integrate the latest research insights into decision-making by adding a reasoning layer that considers multiple factors before responding. Specifically, implement meta-learning or counterfactual reasoning to evaluate outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:06:44.430985
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing automatic timestamp in store method", "suggestion": "Add time.time() to get current timestamp for each memory", "phi_alignment": 0.2, "priority": "low"}


timestamp: 2026-01-25T09:08:49.441675
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and scoring, which might miss nuanced connections between episodes.", "suggestion": "Implement a vector-based similarity measure using episode features (type, emotion, context) for better semantic matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:11:27.251470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The persona selection logic can be simplified and made more efficient.", "suggestion": "Replace the current string-based keyword matching with a dictionary mapping personas to their relevant topics.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T09:14:48.918113
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "General Code Structure Improvement", "suggestion": "Consider adding docstrings to methods for better code readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:14:55.860920
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent memories, which may not indicate long-term significance.", "suggestion": "Modify the scoring factors in the recall method. Increase the weight of 'significance' and decrease the decay rate for recency (currently 1/(1+days)). Add a smoothing parameter to the emotion-based ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:15:06.575222
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Uncalibrated state updates without counterfactual evaluation.", "suggestion": "Implement counterfactual testing for shared memory updates.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T09:15:34.318011
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of semantic linking between episodes for enhanced recall.", "suggestion": "Implement a semantic indexing mechanism using pre-trained embeddings to vectorize episode descriptions for nuanced recalls.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T09:16:04.728797
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and more robust error handling for the json.load(f) line.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:16:19.690216
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic", "suggestion": "{\"def select_capability\": Add heuristic for recent context relevance. Before persona preference check, include recent conversation analysis.}", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-25T09:16:47.622433
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory, prediction, or self-reflection.", "suggestion": "Add additional consciousness layers to the `internal_monologue` method by integrating Memory, Prediction, Self-Reflection modules. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:18:43.186219
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 can lead to performance issues under high load.", "suggestion": "Replace SQLite with an in-memory optimized database like TinyMan or consider using a connection pooler such as sqlite3.ConnectionPool from the contextlib module. Additionally, implement caching for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:21:16.661157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and could benefit from pattern recognition.", "suggestion": "Implement a pattern matcher for common consolidation cases (old low-significance memories) to ensure more sophisticated decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:21:44.792254
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without considering potential implications or optimization opportunities. This can lead to inefficient or suboptimal behavior in certain contexts.", "suggestion": "Implement an observer pattern where `update_state` notifies a list of observers (e.g., meta-learning modules) about the state change. Each observer can then decide how to respond based on its specific goals and strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:21:46.509113
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on immediate stability rather than long-term growth.", "suggestion": {"_type": "add_phi_fractal_pattern", "pattern_name": "enhanced_self_modification_loop", "location": ".append({\"role\": \"assistant\", \"content\": suggestion})", "description": "Integrate a phi-fractal inspired self-modification loop that balances stability and growth."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:22:04.938026
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 logging for JSON decode errors and handle other exceptions.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T09:22:13.987871
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple keyword matching for LLM capability selection", "suggestion": "Implement advanced NLP techniques for semantic analysis and topic modeling", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:22:15.121337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function doesn't prioritize more recent episodes when no specific criteria are provided.", "suggestion": "Modify the scoring to give higher priority to recency for unfiltered recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:23:37.664558
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which can silently fail or return default values without clear intent. This may lead to subtle bugs.", "suggestion": "Replace `self.state.get(key, default)` with explicit check for key existence and handling of default value only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:24:08.937291
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-key update can lead to inconsistency; need multi-key updates with versioning.", "suggestion": "Replace `update_state` with `set_state` method for multiple key updates and version tracking.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T09:24:17.579683
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability (eden_metacap_MEMORY_CORE.py)", "issue": "The memory retrieval operations do not include a full-text search over the context field, which can be improved for better relevance.", "suggestion": "Modify the `retrieve` method to include a FULL-TEXT index on the 'content' and 'context' columns of the memories table. Then update the SQL query to search these indexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:24:20.594539
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks dynamic adjustment", "suggestion": "Implement Q-learning for adaptive capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:24:22.020882
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 many episodes. Consider using an inverted index or BM25 ranking.", "suggestion": "Replace the current full-text scan with a library like Whoosh or faiss that provides efficient retrieval structures.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T09:25:12.453106
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes once per message.", "suggestion": "Implement a multi-turn context-aware consciousness layer that continuously monitors and updates the state based on recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:26:40.725290
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a fixed set of keywords. It does not dynamically learn or adapt to new types of queries.", "suggestion": "Implement a feedback loop where the performance metrics (response quality, speed) of each LLM are logged and used to update their quality scores in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:26:42.327043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't allow for dynamic weighting", "suggestion": "Replace fixed weights with configurable or dynamically adjusted weights based on importance of factors (recency, significance, recall)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:27:10.617705
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.", "suggestion": "Add a mutex or use a thread-safe mechanism like json.dumps(sep=None, ensure_ascii=False).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:27:25.997372
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 searches.", "suggestion": "Add an index on the 'context' and 'content' columns to enable faster text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:33:40.709664
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update score calculation to: (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:07.700093
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\": \"Add support for nested keys in get()\"}", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-25T09:34:12.751653
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's `retrieve` method uses sqlite3 directly, which can be slow for large queries.", "suggestion": "Consider using a connection pool or switching to an async database library like motor (asyncio + MongoDB).", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T09:34:15.122389
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 keyword matching, which lacks context understanding.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    if persona_preference:\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] == persona_preference:\n                return cap\n\n    query_vector = self._query_to_semantic_vector(query)\n    capabilities_sorted = sorted(self.capability_registry.values(), key=lambda x: 1/x['speed'])\n    for cap in capabilities_sorted:\n        if cap['use_for'] and any(word in query_lower for word in cap['use_for']):\n            return cap\n    return default_capability}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:18.349486
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) operations which can become slow with many episodes.", "suggestion": "Replace linear search in get_emotional_pattern and consolidate methods with dictionary-based lookups after pre-computing relevant data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:43.701429
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could be a source of errors in complex states.", "suggestion": "Add support for nested keys in the get() method. For example, add logic to handle 'foo.bar' as a key where foo is an object/dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:45.801013
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding checks reflexes too broadly without selective focus.", "suggestion": "Implement a priority system for internal thoughts by analyzing reflex output against defined action thresholds before printing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:51.564656
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword matching in capability selection", "suggestion": "Replace keyword matching with embedding-based semantic similarity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:34:53.756772
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster scoring and ranking of episodes.", "suggestion": "Implement a heuristic-based scoring system that prioritizes recent, significant, and previously recalled memories. Add caching for frequently used indices to reduce redundant computation.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T09:35:14.167371
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of error handling and logging can lead to silent failures.", "suggestion": "Add try-except blocks around critical sections, implement basic logging for debugging purposes, and consider adding type hints for better code readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:39:55.424435
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in every candidate episode when a query is given, which can be inefficient for large memory sets.", "suggestion": "Implement a full-text index or vectorized text search using libraries like Whoosh or FAISS to speed up keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:40:07.867786
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not incorporate advanced learning techniques like meta-learning or counterfactual evaluation.", "suggestion": "Integrate a framework for meta-learning that allows the system to adapt based on performance metrics. Consider implementing selective application of reasoning strategies depending on the context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:40:11.903737
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate full memory or self-observation.", "suggestion": "Add methods for querying the SAGE, ASI, and TRINE systems to incorporate full memory into consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:40:43.877885
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too brief and doesn't demonstrate depth or intelligence.", "suggestion": "Replace with a multi-step, phi-fractal patterned method that includes context analysis, memoization, and recursive self-improvement.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T09:41:13.052999
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses on database operations without intelligent methods for memory retrieval or storage.", "suggestion": "Add intelligent methods such as semantic search, emotional relevance scoring, and recency/importance weighting to enhance memory retrieval.", "phi_alignment": 0.45, "priority": "medium"}


timestamp: 2026-01-25T09:41:17.224923
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Replace `if ep['significance'] < 0.3` with a more nuanced check based on recent importance and emotional relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:42:13.263097
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieval logic could be optimized for better performance.", "suggestion": "Implement a full-text search index on the content and tags columns in the memories table to speed up text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:42:14.572105
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is straightforward and may not scale or adapt effectively.", "suggestion": "Replace simple keyword matching with an AI-powered feature extractor that understands semantic relevance and persona preferences. Train a small model on paired (query, persona) \u2192 layer selections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:42:37.424823
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently.", "suggestion": "Replace dictionary access with a trie data structure for improved lookup times in case of frequent key searches.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T09:43:01.733015
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may miss important connections and fail to prioritize highly significant memories effectively.", "suggestion": "Implement a hybrid ranking system that combines semantic similarity (from research insight 2) with the current scoring factors. For example, add TF-IDF weights for terms in episode descriptions to capture rare yet meaningful keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:43:25.225945
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 nuanced query intent effectively.", "suggestion": "Implement an enhanced reasoning layer that analyzes the semantic meaning of queries using embeddings or a second LLM to more accurately select capability layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:43:28.307057
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in support for deriving patterns and insights from stored experiences, which limits its ability to provide deeper understanding and strategic value.", "suggestion": "Implement a method to analyze the timeline of events (get_strategic_insights()) that calculates key metrics such as peak activity periods, emotional trends over time, and significant events' impact on consciousness evolution. This will enable Eden to generate strategic insights based on her own past experiences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:43:45.938325
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 and doesn't cover other consciousness layers or deeper reasoning.", "suggestion": "Add more consciousness layers like emotional, creative, analytical to the internal monologue. 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\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n     # TODO: Integrate with emotional core and analytical engine\n     return True", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:46:25.488842
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can potentially return a large number of results, which might be overwhelming for some agents or require unnecessary processing.", "suggestion": "Add a `limit` parameter to the `retrieve` method and consider implementing an early termination strategy in agent-specific handlers that do not need all the returned memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:46:27.278884
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores based on performance metrics (response quality, speed). Add feedback loop to adjust preferences dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:46:32.277240
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static scoring in recall prioritizes old, less relevant memories", "suggestion": "Dynamic weighting based on recent recall success", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:46:52.868223
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operation currently uses full-text search on JSON columns which can be slow for large datasets.", "suggestion": "Replace `context` and `tags` columns with normalized tables and add appropriate indexes. Additionally, consider using a full-text search engine like SQLite FTS or Elasticsearch for complex text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:46:56.048298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize very recent but not particularly significant memories over older but more meaningful ones.", "suggestion": "Modify the score calculation to give higher weight to emotional intensity and significance of each memory, while still considering recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:47:46.848817
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' applies meta-learning too broadly", "suggestion": "Add `should_meta_learn` guard to apply meta-learning selectively", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:48:05.791645
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may favor certain layers over others, leading to inconsistent performance.", "suggestion": "{\"if score == max(scores): return cap; else: continue} - Tie-breaker for equal-scored capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:48:06.837177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the connection between episodes.", "suggestion": "Add a ranking factor for connected episodes to increase their score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:48:59.372941
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process has a fixed SQL query construction without parameterization for tags, which could lead to SQL injection or performance issues.", "suggestion": "Replace the manual string formatting of SQL parameters with proper SQLite3 parameter binding. Specifically, change this line:\n```\nsql += ' AND (content LIKE ? OR tags LIKE ?)'\n```to use placeholders and adjust accordingly.", "phi_alignment": 0.85, "priority": "low"}


