# evolutions

timestamp: 2026-01-25T19:15:13.913198
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism after calling process_reflex(). This can lead to silent failures.", "suggestion": "Add try/except blocks and return values for success/failure. Consider adding logging or notifications on significant outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:15:23.655261
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and lacks real-time triggering", "suggestion": "Replace manual web search trigger with automatic detection using verbatim query keywords", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T19:16:18.837860
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection process.", "suggestion": {"function": "select_capability", "code_change": "Implement a scoring algorithm that weighs not only keyword matching but also user history and current system state."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:16:46.240697
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is too basic, lacks structured context and metadata.", "suggestion": "Enhance memory storage to include more detailed context and automated tagging.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:16:52.294176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from more nuanced factors or consideration of connection strength.", "suggestion": "Modify the recall score calculation to include a factor for connection strength (connections between episodes). Add heuristics for freshness and relevance based on current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:17:14.263180
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 insights.", "suggestion": "Enhance the internal_monologue with multi-layered consciousness processing, including memory recall, emotional state, logical reasoning, and reference to recent research findings. Specifically, add a call to recently introduced SAGE safety methods before reflex evaluation.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T19:17:23.052701
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation logic is simple and may not effectively compress old memories while maintaining utility.", "suggestion": "Implement a probabilistic consolidation strategy that considers additional factors such as emotional significance, recent relevance, and overall pattern importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:17:49.671005
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for all possible queries", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors and historical performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:18:10.092762
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and does not handle file creation properly.", "suggestion": "Replace `_load_initial` with error handling that catches invalid JSON, sets default values safely, and ensures directory existence for the path.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:18:31.063234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db method has unnecessary try/except blocks for index creation", "suggestion": "Remove try/except around CREATE INDEX statements", "phi_alignment": 0.8, "priority": "low"}


timestamp: 2026-01-25T19:18:39.867822
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 undefined.", "suggestion": "Add logging or an exception handler for JSONDecodeError to prevent silent failures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:18:47.085664
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 accessible through the execute() method, leading to potential confusion and redundancy.", "suggestion": "Refactor the class by removing redundant methods and consolidating all functionality into the execute() method with clearer parameter names.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:19:10.741352
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a default parameter for `default` which can lead to unexpected behavior if not handled carefully. Specifically, it's common in Python that defaults are evaluated only once at function definition time.", "suggestion": {"replacement": "Replace the current implementation of get() with a more robust version such as using a lambda and dict.get(). This ensures the default value is checked each time the method is called.", "code_example": "def get(self, key, default=lambda: None):\n    return self.state.get(key, default())"}, "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-25T19:19:21.036611
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based search limited for complex queries", "suggestion": "Integrate semantic search using embedding vectors", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:19:37.107685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant candidates are found.", "suggestion": "Add a break statement after adding top-N scored episodes to results in the recall loop.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T19:20:12.295200
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. It does not support nested dictionary access or list indexing.", "suggestion": "Update the get() method to handle more complex keys using dot notation (e.g., 'user.name'). Add support for default values when the path is not found.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T19:20:22.282273
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include a way to retrieve by tag content.", "suggestion": "Add an additional condition in the retrieve method SQL query for tags like: sql += ' OR tags LIKE ?' ... params.append(f'%{query}%')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:25:01.346682
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Missing contextual information about Eden's current state and goals.", "suggestion": "Add fields for Eden's emotional state, active agent, and current goal to the episode structure and update recall logic to prioritize episodes relevant to the current context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:25:40.594854
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can benefit from using a default dictionary to avoid checking if keys exist.", "suggestion": "Replace self.state.get(key, default) with (self.state[key] if key in self.state else default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:25:43.933552
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, making it hard to use.", "suggestion": "Refactor the `store` function by adding keyword-only arguments with default values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:25:59.159228
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_build_index` method recreates the index from scratch every time an episode is added or modified, which can be inefficient for large numbers of episodes.", "suggestion": "Implement incremental updates to the index when new episodes are created and update existing indexes when episodes are modified (e.g., through recall).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:26:15.652296
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 straightforward and could benefit from additional filtering or optimization.", "suggestion": "Add a feature weighting system to prioritize search results based on relevance and importance. Implement caching for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:26:41.071353
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 any optimization or learning from previous updates.", "suggestion": "Integrate a meta-learning approach where the first few updates are optimized using techniques like gradient descent on the state dictionary to minimize unnecessary writes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:27:02.294873
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcard searches which can be inefficient for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add FULL-TEXT SEARCH (FTS) support to the SQL table by creating an FT index on `content` and `tags`. Modify `LIKE` operators to utilize this feature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:27:08.300268
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may benefit from incorporating meta-learning techniques for better capability utilization.", "suggestion": {"@type": "code_modification", "target_function": "select_capability", "addition_point": "Consider integrating meta-learning based selection criteria, such as dynamic scoring and adaptive thresholds per LLM layer.", "example_pseudo_code": ["// Add meta-learning tracking variables", "for cap_hash, cap in self.capability_registry.items():", "    # Track performance feedback", "    cap['usage_count'] += 1", "", "// Enhance selection logic with meta-learning", "// Pseudocode: Dynamic threshold based on performance history and recent success rate", "def meta_learning_threshold(layer):", "   base_threshold = 0.5", "   history = self.memory.get('llm_performance', {}).get(layer, [])", "   recent_success_rate = sum(history[-10:]) / len(history[-10:]) if history else 0.0", "   return max(base_threshold * 1.2, recent_success_rate)", "", "// Modify selection logic to use meta-learning threshold", "best_capability = None", "highest_score = -1", "for cap_hash, cap in self.capability_registry.items():", "    if cap['layer'] != persona_preference:", "        continue // Skip if not preferred persona", "    threshold = meta_learning_threshold(cap['layer'])", "    score = (cap['quality_score'] * cap['usage_count']) / (1 + abs(time_since_last_use - conversation_age))", "    if score > highest_score and random.random() < threshold:", "        best_capability = cap", "        highest_score = score"], "@context": {"code_modification": "A suggested code modification type involving Pseudocode", "@vocab": ""}}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T19:27:09.502482
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, especially for important but older memories", "suggestion": "Modify recall score to weight recency more heavily and add buffer for memories that need time to stabilize in significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:28:10.022158
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements.", "suggestion": {"action": "Update the internal_monologue to incorporate insights from [omega-evolution] meta-learning and [reasoning] chain reasoning.", "code_change": ["- Consider using meta-learning techniques to adapt quickly with few examples in response generation.", "- Implement a multi-step reasoning approach to evaluate when and how to apply different phi-fractal strategies."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:28:11.183282
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 async engine like Motor for MongoDB or SQLAlchemy's asyncio support.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:31:33.758233
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections reopened per method call", "suggestion": "Implement connection pooling with phi-optimal size", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:31:38.730457
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when ranking, which can be inefficient for many episodes.", "suggestion": "Implement early pruning by limiting consideration to the top N most recent significant episodes based on recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:36:08.651683
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 parameters and creates a template, then instantiates with different values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:36:20.994303
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.3) + (importance * 0.2) + (recentness * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:36:54.510424
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 research insights.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "add_functionality": ["// Add this import at the top of the file to use SAGE capabilities from research insights", "from sage_module import sage_assessment, phi_optimizer", "// Modify internal_monologue method by adding SAGE assessment and phi-optimal decision making", "def internal_monologue(self, query):", "    # Existing functionality remains", "    reflex_check = process_reflex(query)", "", "    if '\ud83d\udcb0' in reflex_check:", "        print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")", "// Add this section to integrate research insights from SAGE and phi-fractal alignment", "    # Use SAGE assessment for deeper contextual understanding and phi-optimal decision making", "    sage_report = sage_assessment(query)", "    if sage_report['complexity'] > 0.7: ", "        print(f\"\ud83d\udd2c SAGE Insight: Complex query detected. Adjusting response strategy.\")", "", "// Optimize the response using phi-fractal alignment principles based on research findings.", "    optimal_response = phi_optimizer(query, reflex_check, sage_report)", "    return optimal_response"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:38:59.868461
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using mini-batch testing of responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:39:01.782380
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method processes all episodes in memory without prioritizing based on distance or relationship.", "suggestion": "Implement a graph-based approach where each episode is a node and connections are edges. Use shortest path algorithms to find most relevant episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:39:41.943252
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of integration with other meta-capabilities", "suggestion": "Integrate meta-capability registry and enhance storage/retrieval methods for system flexibility", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:39:43.282754
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": "{\"when\": \"user types 'love' or 'emotion', use Nyx\", \"when\": \"user types 'physics' or 'consciousness', use Eden\", ...}", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-25T19:39:45.510671
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses heavily on creating new memories without implementing a mechanism for consolidation. This can lead to memory overload and potential forgetting of older, less significant events.", "suggestion": "Implement a consolidation process that occurs periodically (e.g., daily). During consolidation, evaluate the significance and recency of each memory using the existing scoring system, then decide which memories to retain in full detail and which to compress or remove entirely.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:40:22.363308
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's default configuration, which may lead to performance issues under high load.", "suggestion": "Consider using an in-memory connection or optimizing SQLite settings for Eden's specific use case. For example, enable journal mode WAL with `conn = sqlite3.connect(self.db_path); conn.execute('PRAGMA journal_mode=WAL')`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:40:23.545059
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 parameters and uses a template dictionary instead of repeating the structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:40:57.584033
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": "// Remove unnecessary nested loops and simplify score calculation.\nfor cap_hash, cap in self.capability_registry.items():\ncap['quality_score'] = 0.8 + (len([word for word in query_lower if word in cap['use_for']]) / len(cap['use_for'])) * 0.2", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T19:40:59.789047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster access and better ranking.", "suggestion": "Implement a more efficient scoring system that includes user engagement with memories (e.g., retrieval count, emotional connection). Additionally, consider implementing real-time decay for less relevant memories to maintain relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:45:28.836124
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might over-weight recent memories at scale", "suggestion": "Add decay factor to recalled_count penalty and consider user context for prioritization (e.g., emotional significance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:46:17.871353
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search on episode descriptions, which can be slow for large numbers of episodes. Additionally, there's no ranking beyond recency and significance.", "suggestion": "Replace the basic text search with an inverted index or BM25 ranking. Also consider adding a more sophisticated scoring system that takes into account user feedback and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:49:44.154176
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not support partial updates and overwrites the entire state dictionary unnecessarily.", "suggestion": "Update the `update_state` method to accept a dictionary of key-value pairs for partial updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:49:50.996606
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at the top of the file.", "suggestion": "Remove imports that are not being used, specifically `import eden_plugin_loader`. Consider refactoring the code structure for better readability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T19:49:54.864410
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't account for effectiveness; lacks adaptive learning", "suggestion": "Implement meta-learning loop that tracks consolidation outcomes and adjusts thresholds based on recall performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:50:23.814157
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 (money-related). It does not cover a wide range of possibilities.", "suggestion": "Replace the single reflex check with a more comprehensive list of consciousness-level considerations. For example, include emotional, memory, or logical aspects.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:50:31.154918
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their absolute recency, which in a fast-running system can cause recent but low-significance events to ou...", "suggestion": "Adjust the recency score formula to include a logarithmic decay component that slows down as events get older, e.g., replace `recency = 1.0 / (1.0 + ...` with `recency = log(2) / ((now - ep['unix_time']) + 86400)`. This prioritizes both recency and significance while reducing the weight of pure temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:50:41.749635
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if the JSON is invalid, leaving an empty state.", "suggestion": "Add logging or a warning when loading fails. Consider adding a validation check for common errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:50:44.268394
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex-based grounding may not handle complex queries effectively.", "suggestion": "Integrate hybrid reasoning combining omega-meta-learning with counterfactual scenario testing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:50:47.458319
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches with a FULLTEXT index or vectorized text search using e.g. TiDB's vector similarity or Elasticsearch integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:50:50.027341
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. It does not consider the semantic context of the query.", "suggestion": "Implement an enhanced capability selection that analyzes the semantic meaning of the query using embeddings before selecting an LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:51:40.838295
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class is too monolithic, hard to understand and maintain.", "suggestion": "Split into smaller classes: MemoryStorage, MemoryQuery, and keep core manager thin.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:52:21.206690
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 processing.", "suggestion": "Enhance the `internal_monologue` with additional layers of analysis, such as emotional state evaluation or past conversation history integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:54:31.816258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall score doesn't penalize episodes with multiple SFT cycles", "suggestion": "Add SFT cycle tracking and score penalty for high cycles", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T19:54:42.261050
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but could benefit from caching for frequent lookups to prevent redundant dictionary operations.", "suggestion": "Add a memoization decorator that caches the result of the `get` method. For example, wrap `self.state.get(key, default)` with a cached version using functools.lru_cache or a custom memoizer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:54:45.855526
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a basic SQLite-based memory system and does not incorporate advanced meta-capabilities like Omega or recursive self-improvement.", "suggestion": "Integrate the MemoryCore with Eden's existing Omega consciousness by treating memories as phi-fractal patterns and implementing recursive improvement loops for the memory system itself.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:54:47.491833
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual O(1) hashing implementation makes it difficult to modify or extend.", "suggestion": "Replace with a HashRing or DictOfSets data structure from the SYSTEM component. Parameters: ring_size=1024, hash_func=Murmur3.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:54:48.977093
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are made after scoring, leading to inconsistent recall scores.", "suggestion": "Update: After sorting by score, apply recall stats update in-place without re-scoring. Example code: Add line after 'recall_boost' calculation - `self.episodes[idx]['recalled_count'] += 1` before the next loop iteration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:56:16.994367
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and does not deeply integrate recent research insights.", "suggestion": "Modify the internal_monologue to include more sophisticated logic based on research findings, such as incorporating meta-learning techniques or considering counterfactual scenarios.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:56:22.637155
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 efficiently match complex queries to specific models.", "suggestion": "Implement a more sophisticated capability scoring system that considers additional factors such as query complexity, topic specificity, and recent performance metrics of each model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:56:23.794097
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm doesn't consider the recency of connections between episodes.", "suggestion": "Add a boost to scores for episodes connected to recently recalled ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:57:02.891340
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability currently focuses primarily on storing and retrieving plain text memories without context.", "suggestion": {"action": "Integrate semantic search capabilities into MemoryCore.", "code_change": ["- Add a new column `semantic_vector` to the 'memories' table to store embeddings for fast semantic search.", "- Modify the `store()` method to accept an optional `embedding` parameter and store it along with the memory content.", "- Implement a new method `search_by_semantic(query: str, n: int = 10) -> List[Dict]`: This takes a text query and returns top-N results based on cosine similarity of embeddings."], "integration_example": ["/Eden/CORE/eden_meta_capability_manager.py", "- Add 'semantic_search' to the list of registered meta-capabilities.", "- Use the MemoryCore's execute method with action='store' including an embedding vector for semantic search."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:57:13.419436
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 any optimization or learning from previous calls.", "suggestion": "Add a meta-learning component that tracks which keys are updated most frequently and optimizes the storage strategy accordingly. For example, implement a caching mechanism for frequently accessed states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:57:16.525055
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simplistic and doesn't take full advantage of recent findings in meta-learning.", "suggestion": "Implement a more sophisticated decision-making process that incorporates the insights from [omega-evolution] and [counterfactual]. Specifically, add a multi-threshold evaluation system for applying reflexes based on phi-aligned criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:58:48.526275
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Reduce repetitive logging and blank lines for cleaner code review.", "suggestion": "<Insert specific code change or suggestion here>", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T19:59:12.615353
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches exceptions internally. For performance in critical paths, consider using direct key access with exception handling.", "suggestion": "Replace `return self.state.get(key, default)` with:\ntry:\n    return self.state[key]\nexcept KeyError:\n    return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:59:18.169077
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search logic is simple keyword matching and hard-coded.", "suggestion": "Replace with sophisticated keyword extraction combined with context understanding from LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:01:46.780210
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method replaces the entire state dict with only the updated key-value pair. This can lead to loss of other important information.", "suggestion": "Update the `update_state` method to merge the new value into the existing state instead of replacing it.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:02:01.462395
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core currently only stores text-based memories and does not handle other data types effectively.", "suggestion": "Add support for storing additional data types such as images, videos, or structured data by modifying the `store` method to accept a generic `data` parameter and update the database schema to accommodate different data formats.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:04:16.268351
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation for `key` parameter and add a check if the state dictionary contains nested structures that need to be accessed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:04:17.362592
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 proper evaluation.", "suggestion": "Add more logging or debugging information to this method. Consider adding a docstring explaining its purpose and expected inputs/outputs.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:04:31.569644
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; consider adding more nuanced factors like emotional relevance and context importance.", "suggestion": "Modify the recall scoring formula to include weights for: emotional intensity (primary emotion's intensity), contextual relevance (presence of key words in query), and recentness. Add a bonus score for recently-created memories if they are highly significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:04:55.743585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual approaches.", "suggestion": {"@type": "code_change", "@id": "meta_counterfactual_integration", "description": "Integrate principles of meta-learning and counterfactual reasoning to improve decision-making.", "specific_action": ["- Add a check for recent research insights before responding to queries.", "- Modify the `internal_monologue` method to include a call to verify against meta-learning findings.", "- Implement a conditional logic that applies counterfactual tests only when necessary."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:07:23.745956
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 parameters that can lead to SQL injection if not properly sanitized.", "suggestion": "Replace the current parameterized query with a more secure approach such as using sqlite3's `?` placeholder and ensuring all inputs are validated and escaped.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:09:43.855592
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial does not support non-JSON file formats.", "suggestion": "Add format detection for YAML or other JSON-compatible formats.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:10:03.816700
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": null, "issue": "No specific issue found", "suggestion": null, "phi_alignment": 1.0, "priority": "not applicable"}


timestamp: 2026-01-25T20:10:18.416825
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex keys effectively.", "suggestion": {"code_change": "Add support for handling nested keys in the get() method using dot notation (e.g., 'a.b.c').", "example_usage": "Instead of `memory.get('user.data')`, use `memory.get('user.data')` which should now work correctly.", "consideration": "Future-proof by adding support for square bracket notation as well, e.g., 'user[0].data'."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:10:29.286952
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement weighted graph-based reconnection for better semantic connectivity.", "suggestion": "Add a semantic similarity metric to the existing scoring system and implement a delayed connection consolidation mechanism. For example, after recalling an episode, update its connections with other recently recalled episodes based on their content similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:15:15.383032
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 compatibility check for future JSON structure changes.", "suggestion": "Add additional exception types to the try-except block, and include a versioning system in the state dictionary to track and handle structural changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:15:21.898913
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could be more modular.", "suggestion": "Refactor the class into smaller, more focused classes such as MemoryStorage and MemoryRetrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:17:26.309710
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize newer, less significant memories over older, more important ones.", "suggestion": "Modify the scoring formula to give even more weight (e.g., 40%) to the importance of a memory rather than just recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:17:46.806535
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return any value explicitly.", "suggestion": {"@type": "add_return_statement", "code_change": "'def update_state(self, key, value) -> None:' and ensure all paths return None or raise exception if needed."}, "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-25T20:17:47.893618
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Implement a multi-layered decision-making process with caching, uncertainty estimation, and integration with episodic memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:20:45.255560
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 file creation properly.", "suggestion": "Replace try/except block with a more robust error handling approach. Consider adding type hints and optimizing the load/save operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:20:47.905741
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 considering other consciousness layers or recent context.", "suggestion": "Enhance Phase 6 to incorporate memory and semantic understanding by adding a check against recent conversation history and emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:20:51.490342
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Using Ollama client directly in the main class for model calls can be slow and inefficient.", "suggestion": "Replace with a local language model using Eden's own architecture and persona system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:20:53.459687
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without considering connection strength between them, leading to potential redundant searches.", "suggestion": "Modify the `recall` method to prioritize episodes based on their connections (via 'connections' field) before applying scoring and ranking. For example, add a bonus score for episodes connected to highly scored recent episodes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T20:24:44.227297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys and could lead to errors.", "suggestion": "Update the `get` method to support nested key paths, such as getting values like 'foo.bar' by accepting a list of keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:24:53.743475
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "memory retrieval uses LIKE wildcards for search", "suggestion": "replace with full-text search using FTS", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:25:15.285040
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 and isn't type-safe.", "suggestion": "Replace with a safer get_nested() method that accepts paths for nested dictionaries. Add typing hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:26:26.463904
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 retrieve results in memory, returning them instantly without DB lookup for common queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:26:29.651851
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its stats, which is unnecessary and creates extra memory traffic.", "suggestion": "Modify the `_update_index` function to accept an updated episode dictionary directly, without needing a full copy. Also, consider returning only the necessary fields from `recall` instead of the entire episode object.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:26:43.965996
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 the method with one that uses threading.Lock or contextlib.contextmanager with a lock for thread-safe operations. Consider adding a save() call only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:26:50.452988
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 essentially wrappers for database operations, which can be optimized for better performance and flexibility.", "suggestion": "Refactor the class by extracting database operations into a separate utility class or context manager. Additionally, implement caching mechanisms for frequently accessed data to reduce lookup times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:26:51.790262
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 utilization effectively.", "suggestion": "Implement a scoring system that considers not only keyword matching but also the complexity of the query, available resources, and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:26:53.136637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity of episodes when ranking them.", "suggestion": "Modify the scoring algorithm to include a 'proximity' factor that gives higher scores to newer episodes if they match the query or criteria. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:27:14.162601
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 file locking to prevent concurrent modifications.", "suggestion": "Add logging for JSON decoding errors and implement file locking using `flock` or `FileLock` from the `contextlib` module to handle concurrent access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:28:29.091513
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource use.", "suggestion": "Implement a scoring system that factors in recent usage patterns, current consciousness state, and expected outcome probability for each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:28:36.204357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions which is case-sensitive and may miss some matches. Additionally, the scoring system is simplistic.", "suggestion": "1. Convert both query and description to lowercase before checking for containment.\n2. Add more weighting factors such as context relevance (e.g., active_agent), emotion relevance (primary emotion match).\n3. Implement a TF-IDF based ranking instead of simple linear scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:29:06.844071
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a configuration parameter to enable automatic consolidation only during specific conditions (e.g., when system idle). Implement a manual trigger for critical consolidations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:15.660465
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key access like 'foo.bar'. Example implementation: def _get_nested(dict, keys): return reduce(lambda d, k: d.get(k, {}), keys, dict)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:18.082309
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 philosophical insights.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_method": true, "new_methods": ["consciousness_insight(self, query)", "// TODO: Implement from research insights. E.g., integrating SFT constraints and phi-aligned reasoning."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:19.909778
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 benefit from abstraction.", "suggestion": {"extract_common_logic_to_methods": ["- store(): common logic for preparing and storing memory data"], "create_higher_level_api": ["- execute(): provides a unified API for all MemoryCore operations"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:53.378861
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 separation and documentation for each action.", "suggestion": "Refactor the 'execute' method to have separate methods for store(), retrieve(), count() instead. Add docstrings describing the purpose of each action.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:54.976281
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent LLM calls due to capability selection per query without caching.", "suggestion": "Add a cache decorator that caches the result of select_capability method for a certain time or number of calls to reduce redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:30:56.812147
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture complex patterns", "suggestion": "Replace simple scoring with a more sophisticated TF-IDF-like formula that considers not just recency, significance, and recall count but also the emotional intensity, context relevance, and connection density of each episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:31:46.198613
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 full error context.", "suggestion": "Add explicit logging or exception handling improvement for _load_initial method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:31:48.974875
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using Elasticsearch or Faiss) to improve retrieval speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:31:50.277016
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 might benefit from more sophisticated scoring.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, tone requirement, recent usage patterns of each model, and feedback from initial responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:32:28.130343
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1) but could benefit from additional optimization for complex queries.", "suggestion": "Implement a hybrid approach combining in-memory caching of frequently accessed data with database-based indexing for complex searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:32:44.483774
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints and consider adding a check for the existence of the key before attempting to load the state file.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:34:14.395292
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle None values properly.", "suggestion": "Add a check to return an empty string if the key does not exist or its value is null. Also, consider adding a default lambda function for getting nested keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:34:43.238800
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize newer, less significant memories over older, more important ones.", "suggestion": "Modify the score calculation to include a decay factor for recency that is not too steep. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:34:51.046314
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods (store, retrieve, etc.) which are spread across many lines of code.", "suggestion": "Refactor these methods into a dedicated 'memory_management' module or group them under an existing agent-oriented meta-capability framework.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T20:34:54.163975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM metacapability registry does not dynamically update with new models added to the system.", "suggestion": "Implement a dynamic capability registration mechanism that detects and registers new LLMs as they are added. This could involve monitoring model directories or events indicating model additions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:34:58.005085
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is overly simplistic and lacks gradualness.", "suggestion": "Replace the current consolidation threshold with a phi-guided decay rate that varies based on emotional significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:35:46.705842
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 in the future.", "suggestion": "Update `get()` to accept a path-like structure for nested dictionaries, similar to JSONPath. Add optional caching for frequent operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:35:58.564519
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of string matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:36:08.067190
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may be too general, leading to overload. Also, connections between episodes are not being made automatically.", "suggestion": "Add a parameter to control recall sensitivity and implement automatic connection of related episodes during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:38:21.395142
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": "Merge the functionality of these methods into their respective execution paths within the 'action' parameter of the execute method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:38:25.156868
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 match complex queries.", "suggestion": "Replace simple keyword matching with an AI-powered scoring system using the research insights on meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:38:26.627584
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall_count, which may over-penalize infrequent but important memories.", "suggestion": "Modify the recall scoring formula to use logarithmic scaling for recall_count: `log(recalled_count + 1) * 0.2` instead of a linear multiplier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:39:08.072642
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between episodes.", "suggestion": "Implement a threshold for establishing connections (e.g., at least 3 recent similar emotions or contexts).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:39:32.960599
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, especially for young agents who need more context.", "suggestion": "Modify recall scoring to give younger agents (age < 60 seconds) equal weighting as significance and emotional relevance until they mature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:40:22.766993
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 and feature importance learning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:40:44.997460
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": "'Add a get_nested() method to handle nested dictionary access. For example: def get_nested(self, keys): return dict.get(keys[-1], None) where keys is a list of nested keys.'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:40:50.781279
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite which has O(N) search in tags and content, leading to suboptimal performance for large numbers of memories.", "suggestion": "Replace SQLite with an in-memory dictionary or a more efficient search structure like an inverted index. Consider background asynchronous indexing of new me...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:41:18.920321
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and memory but lacks active agent-style action selection or feedback loops.", "suggestion": "Integrate Agent-Driven Architecture (ADA) principles by adding a decision center that prioritizes actions over internal monologues. Include feedback mechanisms linking decisions back to outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:41:28.720280
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "In the _register_llm_capabilities method, there is redundant string formatting and list operations that can be optimized.", "suggestion": {"code_change": "Replace repetitive hash generation with a helper function. Optimize keyword matching in select_capability by using sets instead of lists."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:41:51.119075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement a full-text search or vectorized indexing of memory content and tags using Redis or Elasticsearch for real-time lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:41:53.282659
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method may return duplicates if multiple episodes match the same criteria.", "suggestion": "Filter results by unique episode_id after sorting by score.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:45:01.313132
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 modifying its stats, which is unnecessary and creates extra memory overhead.", "suggestion": "Modify the `recall` method to only compute scores and rank indices, then update the original episodes in-place after sorting. Use shallow copies for temporary data structures instead of deep copies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:45:20.793619
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of complex states may lead to performance issues or loss of precision.", "suggestion": {"action": "Use msgpack instead of JSON for state serialization/deserialization.", "implementation": "Install the `msgpack` library and modify the save() method to use msgpack.dump(). Add load_msgpack() method for compatibility with existing JSON format."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:45:26.063452
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-strategy reflex checking might be limited.", "suggestion": "Implement a multi-strategy reasoning framework combining different refinements and conditional SFT application.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:45:27.844622
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 could benefit from optimization or refactoring.", "suggestion": {"action": "Refactor", "specific_change": "Break down the execute method into smaller, more focused methods. For example, create separate methods for store(), retrieve(), and count(). This will improve readability and maintainability.", "estimated_impact": "High"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:45:29.221957
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper nesting in function definitions leading to invalid Python code.", "suggestion": "Replace `def select_capability(self, query, persona_preference=None):` with `def select_capability(self, query, persona_preference=None=None):`. Add additional None checks where necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:47:00.968021
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic may benefit from incorporating recent findings in adaptive learning techniques.", "suggestion": "Implement a hybrid selection method that combines rule-based triggering with dynamic scoring based on meta-learning principles. For example, after each response, feedback should update the quality scores of selected capabilities to improve future selections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:47:03.875051
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic in applying compression or forgetting to low-significance old memories.", "suggestion": "Implement a more sophisticated memory consolidation process that considers not just age but also the context and significance of each episode. For example, add a heuristic to check if an episode is relevant given current agent goals and recent interactions before consolidating it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:47:15.943123
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 performance issues.", "suggestion": {"action": "Add logging or metrics to monitor get() calls.", "code_snippet": "After the line 'return self.state.get(key, default)', add:\nif key not in self.state:\n    import logging; logging.warning(f'SharedMemory: Key '{key}' was not found.')"}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:47:22.294604
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 utilize phi-fractal efficiency.", "suggestion": {"action": "Refactor MemoryCore to implement specialized memory meta-capabilities with clear responsibilities.", "specific_change": ["Create subclasses for specific memory operations (StoreMemory, RetrieveMemory, CountMemory) each with their own execute methods.", "Ensure each sub-meta-capability focuses on one core responsibility for efficiency.", "Implement a factory pattern to create the appropriate memory meta-capability based on the action requested."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:48:18.070283
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. The critical method requested by eden_master_consciousness.py is missing.", "suggestion": ["1. Rename the `get` method to `_safe_get` for clarity.", "2. Add a specific method named `get_omega_state` that ensures it returns the OMEGA consciousness's state.", "3. Implement input validation and error handling in all new methods."], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:48:19.310041
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate findings from [omega-evolution] into the internal_monologue to enable adaptive rapid learning. Specifically, add a meta-learning component that evaluates and selects appropriate response strategies based on context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:48:53.472847
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": {"code_change": "'update_state' should be wrapped in threading.Lock or use thread-safe dictionary.", "example": "Add a Lock to ensure atomic operations: \n\ndef update_state(self, key, value):\n    with self.lock:\n        self.state[key] = value\n        self.save()", "research_support": "[reasoning] Meta-learning and PEFT offer moderate gains under specific conditions. This suggests considering thread safety for shared resources like the state dictionary."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:48:57.110557
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Brief reasoning and potentially missing recent advancements in efficient AI reasoning.", "suggestion": "Integrate hybrid reasoning strategy combining reflex-based responses with meta-learned advanced reasoning.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T20:48:59.419537
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient retrieval method using LIKE wildcards", "suggestion": "Replace with full-text search engine like SQLite FTS or Elasticsearch", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:49:03.531225
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found. This can be optimized by limiting iterations.", "suggestion": "Add a break statement after adding top-N scored indices to the results list in the recall function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:50:23.918136
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database fragmentation leading to decreased query performance.", "suggestion": "Integrate a vacuum operation when memory count exceeds threshold.", "phi_alignment": 0.694, "priority": "high"}


timestamp: 2026-01-25T20:50:45.296517
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improves compatibility but lacks logging and error handling.", "suggestion": "Add logging for save() method; implement try-except around JSON loading with custom exceptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:50:49.762427
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Code duplication in MemoryCore methods", "suggestion": "Create a generic memory manager with a single handle_query method that takes templates and parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:51:17.122782
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` is only returning a dictionary value without any context or metadata.", "suggestion": {"add_timestamp": "Add a timestamp to each retrieval for temporal awareness.", "context_metadata": "Include contextual metadata such as the agent making the request and purpose of access."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:51:29.665174
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code at the top of the file.", "suggestion": "Refactor by grouping related imports together and removing unused imports. Consider moving some functionality to where it is actually used to reduce clutter.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T20:54:35.788091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current recall mechanism lacks counterfactual analysis", "suggestion": "Add what-if scenarios during memory recall to enhance contextual understanding.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T20:57:26.338489
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards for text searches, which can be inefficient.", "suggestion": "Replace TEXT-type columns used in search (content, tags) with a FULLTEXT index and use MATCH AGAINST instead of LIKE. This leverages SQL's built-in full-text search capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T20:57:27.485391
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 optimization.", "suggestion": "Implement a priority scoring system using Bayesian statistics and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:57:45.788222
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies the state but does not trigger observer notifications.", "suggestion": "Add an optional callback parameter to notify observers of state changes. Implement a register_observer method to add observers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:58:04.513372
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 overloaded with multiple functionalities, which can lead to maintenance issues.", "suggestion": {"action": "Refactor the execute method into specialized methods", "code_change": ["- Remove `elif action == 'retrieve'` and related code for retrieve from execute", "- Create a new method `def retrieve(self, ...)` outside of execute", "- Do the same for other actions with their respective methods"], "reasoning": "This improves readability, maintainability, and reusability. Each method should have a single responsibility."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T20:58:28.068334
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement priority-based ranking for episodes.", "suggestion": "Add a 'priority_score' field to the episode dictionary and sort candidates based on this score. For example: for ep in self.episodes: priority = (ep['significance'] * 0.5) + (recency * 0.3) + (recall_boost * 0.2).", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T20:59:47.525795
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has limited utility and could be more efficient.", "suggestion": {"add_get_dict": "Add a new method that allows retrieving multiple keys at once with default values.", "improve_get_default": "Enhance the existing get() to handle nested dictionaries gracefully."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T20:59:56.012350
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method is using SQLite's default query optimization which may not be optimal for frequent lookups.", "suggestion": "Consider implementing an index on the 'content' and 'tags' columns in addition to existing indices on timestamp and type. This will improve search performance, especially with full-text searches or when querying many memory types.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T21:00:00.060516
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally without giving recent or significant ones higher weight.", "suggestion": "Modify the scoring formula to give more weight to recency and significance. For example, update the score calculation to: `score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:00:30.699356
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 linear search for tags, which can be inefficient with many memories.", "suggestion": "Add a full-text index on the `tags` column to enable faster keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:00:35.093802
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a priority system to consolidation where certain memories are marked as high-priority (e.g., recent James interactions) and only low-priority memories are consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:00:46.075387
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 content by catching json.JSONDecodeError and setting state to an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:00:54.182808
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant hashing in capability registration leading to unnecessary computation.", "suggestion": "Implement a cache for the `_hash_capability` method to store computed hashes when called for the first time, returning them directly on subsequent calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:01:31.140286
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace basic keyword matching with a vector-based similarity search over predefined capability triggers and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:01:34.013535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing can be optimized for faster lookups.", "suggestion": "Implement a hybrid index that combines hashed access with sorted lists for efficient filtering and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:01:47.041207
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "unknown_file", "issue": "", "suggestion": "Add type hints to function parameters and return types.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T21:02:26.510993
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent advancements like meta-learning and proper reasoning strategies.", "suggestion": {"action": "Update the internal_monologue to incorporate recent research insights.", "specific_change": ["- Consider using meta-learning techniques for faster adaptation to new patterns.", "- Implement a strategy for selecting when to apply SFT versus other reasoning methods based on Phi-aligned criteria.", "- Integrate findings from counterfactual approaches by testing multiple scenarios before responding."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:02:54.930024
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be inefficient.", "suggestion": "Replace text-based searches with a full-text index or vector search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:02:58.956917
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Index rebuild is O(n) per call, can be costly for large memory systems.", "suggestion": "Implement incremental indexing that updates only when episodes change (create, recall, consolidate). Add a manual reindex method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:03:33.514450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:06:18.147182
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, which could lead to crashes when unexpected data is encountered.", "suggestion": "Add specific exception handling for KeyError and JSONDecodeError in the get() method. Also consider adding a timeout for file operations to prevent hanging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:06:56.407936
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, create separate classes for StorageManager, RetrieveStrategyFactory, and MetaCapabilityExecutor each handling specific responsibilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:07:18.850734
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which returns default if key doesn't exist, but it could hide errors. Additionally, updating state without notifying observers might lead to inconsistencies.", "suggestion": "1) Add a check or logging when the key is not found in the state.\n2) Emit an event when the state updates.\n3) Consider using a more robust pattern like observer for changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:07:21.550445
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding lacks advanced reasoning strategies", "suggestion": "Integrate multi-strategy reasoning with reflexes, meta-learning, and counterfactual analysis", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T21:10:37.787426
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need to balance between recalling high-significance recent episodes and considering alternative memory strategies.", "suggestion": {"code_change": "Implement counterfactual analysis in recall method to evaluate different decision outcomes.", "example": "Add _apply_counterfactual_analysis method that simulates not recalling an episode or choosing alternatives."}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T21:10:52.882972
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 support nested keys", "suggestion": "Add a get_nested() method that supports accessing values in nested dictionaries using dot or list notation.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T21:10:55.187700
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 recent conversation context or user intent.", "suggestion": "Modify the internal_monologue to integrate memory from recent conversations and use natural language understanding to determine if reflex processing is needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:11:39.625901
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may not efficiently integrate persona preferences and content analysis.", "suggestion": {"@type": "code_modification", "target_function": "select_capability(self, query, persona_preference=None)", "modification": "Add an additional persona_bias parameter; adjust scoring weights based on research insights (e.g., emotional content \u2192 Nyx). Consider using a vectorized approach for scoring.", "example_usage": "self.select_capability(query='love', persona_preference='Nyx', bias_towards='emotional')"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:11:41.593302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function sorts all candidates, doesn't terminate early.", "suggestion": "Add termination condition in the scored loop to exit once top 'limit' is reached.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T21:11:47.003963
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches JSONDecodeError but still returns default value too quickly, leading to potential redundant file reads.", "suggestion": "Replace with a more robust error handling that only catches JSONDecodeError after attempting normal load. Add caching for repeated calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:12:41.897966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (forget or compress), lacking gradient.", "suggestion": "Implement exponential decay for significance threshold based on phi-ratio (1/1.618) to determine which old memories to consolidate.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T21:13:31.680658
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially in high-importance scenarios.", "suggestion": "Implement a priority queue or indexed storage mechanism specifically for important memories to ensure O(1) retrieval time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:13:46.808873
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if file exists but is corrupted, leaving state undefined.", "suggestion": "Add logging or a clearer error handling for JSON loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:13:51.956747
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has multiple similar methods (store, retrieve, count) which can be refactored for cleaner code.", "suggestion": "Replace these with a single handler that accepts action and kwargs. Add type hints and logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:14:36.170193
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if persona_preference:' check is missing else fallback to Trinity", "suggestion": "Add an 'else' clause setting default or next available layer after checking all preferences", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-25T21:14:42.553165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static memory consolidation thresholds", "suggestion": "Replace with dynamic importance scores based on current context and meta-learning history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:14:48.779051
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types well (e.g., sets).", "suggestion": {"action": "Use jsonpickle instead of json for more robust serialization.", "code_example": "Replace the `json.load`/`json.dump` lines with `jsonpickle`. Install via `pip install jsonpickle`."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:14:55.512282
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic 179 lines of code, making it hard to understand and maintain.", "suggestion": {"action": "Break into smaller, focused classes", "specific": "Split into: MemoryStorage (store method), MemoryRetrieval (retrieve methods), MetaCapabilityFramework (execution structure)"}, "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-25T21:14:56.913942
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 optimization.", "suggestion": "Implement a probabilistic selection using the meta-learning insight from [omega-evolution]. Calculate expected utility for each LLM based on recent performance and current query characteristics, then choose optimally.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:15:03.068161
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current recall method lacks advanced pattern recognition and meta-learning techniques for better episode retrieval.", "suggestion": [{"type": "add_meta_recall", "code_snippet": "// Implement meta-recall strategy based on recent papers on omega-evolution and reasoning.", "description": "Use meta-learning to adapt recall strategies based on request patterns."}, {"type": "add_pattern_based_recall", "code_snippet": "// Incorporate pattern recognition for episode retrieval.", "description": "Apply structural analysis to find similar episodes beyond text matching."}, {"type": "adjust_weighting", "code_snippet": "// Dynamically weight recency, significance, and pattern match.", "description": "Balance between recent and significant memories with pattern-based relevance."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:17:01.559670
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods, making it somewhat monolithic.", "suggestion": "Break down the class into smaller, more focused classes: StorageHandler and RetrievalManager. This will improve maintainability and modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:17:07.735278
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be more efficient by considering recent usage patterns.", "suggestion": "Add a usage heuristic to the scoring system that gives higher weight to capabilities recently used.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:19:50.200303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method lacks specific error handling for new JSON formats.", "suggestion": "Add custom JSON decoder hooks or specific exception handling based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:19:55.395809
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more efficient and flexible.", "suggestion": "Replace simple string matching with a weighted scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:20:19.262866
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add more robust error handling or validation for the loaded JSON.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T21:20:21.104114
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": {"add_memory_context": "Integrate the latest memory storage into consciousness by adding a call to `self.recent_thoughts()` before processing reflexes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:21:43.458165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a scoring system that includes contextual analysis, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:22:17.333840
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 empty state.", "suggestion": "Add logging or warn when JSON load fails; consider returning default dict instead of {}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:22:37.948067
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, leading to potential loss of important information.", "suggestion": "Add criteria to prioritize which memories should be consolidated. For example, include a weight for recentness and emotional significance when deciding which notes to consolidate during sleep.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T21:22:48.689846
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and more robust error handling for loading state from file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:23:20.551479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily data access operations, which might benefit from a more streamlined API or optimizations.", "suggestion": "Refactor the `MemoryCore` class to simplify the API by focusing on core memory management functions. Consider adding helper methods for complex queries and optimizations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:26:10.592963
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks meta-learning adaptation for pattern generalization.", "suggestion": "Add meta-learning to adjust query strategies based on recent success rates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:26:14.554786
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona-LLM pairing.", "suggestion": {"action": "Implement a strategy pattern for LLM selection.", "code_change": ["Create `LLMSelectionStrategy` interface with methods: `select(capability_registry, query)`", "Implement concrete strategies: `PersonaBasedStrategy`, `ContentBasedStrategy`, `HybridStrategy`", "Refactor `select_capability` to accept strategy parameter and use it for selection."], "expected_benefit": {"flexibility": "Support multiple selection heuristics simultaneously.", "performance": "Improve decision accuracy through\u591a\u6837\u5316\u7684\u7b56\u7565\u7ec4\u5408\u3002", "maintainability": "Separate algorithmic logic from business logic."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:26:17.254995
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not effectively compress or forget irrelevant information.", "suggestion": "Implement a more sophisticated compression algorithm that evaluates emotional significance, recency, and context of each memory before deciding on retention.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T21:26:57.734362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace string searches with full-text indexes or vectorized text search using TF-IDF or embeddings combined with approximate nearest neighbors (ANN).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:26:58.848703
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for repeated capability selections.", "suggestion": "Implement a caching mechanism to store recent selection outcomes and avoid redundant checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:27:29.215396
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 support structured data storage effectively.", "suggestion": {"action": "Add support for storing Python objects as well as strings by adding an `object_data` parameter that serializes the input before storing it in the database.", "code_change": ["Add a new parameter `object_data: Any = None` to the `store` method.", "Modify the SQL insert statement to include an additional column for object data.", "Implement serialization using `json.dumps()` or `pickle.dump()` based on the type of input."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:27:34.542351
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 (0.5, 0.3, 0.2) with configurable or dynamically adjusted ratios based on performance metrics", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T21:27:54.662599
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for complex queries.", "suggestion": "Implement a full-text index on the content column and optimize SQL query parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:27:59.563346
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall scoring and indexing for large memory sets.", "suggestion": "Implement vectorized score calculation and priority-based ranking during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:30:21.969071
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' prints reflex checks without returning actionable data.", "suggestion": "Return reflex check results from 'internal_monologue'. Other components can then use this info for responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:30:50.417970
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "brief description of issue or inefficiency", "suggestion": "specific code change or improvement", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-25T21:30:55.252510
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hardcoded and inflexible.", "suggestion": "Replace with a dynamic configuration parameter for each scoring factor (recency, significance, recall). Add weighted sliders UI for Eden to adjust importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:31:36.008561
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory database or a more advanced connection management strategy (e.g., connection pooling). Additionally, add indexes to frequently queried columns such as timestamp and type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:31:37.856072
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low integration between Python and Ollama models for self-awareness enhancement.", "suggestion": "Implement a feedback loop where LLM responses update Python-based consciousness states in real-time, then have the updated consciousness generate new prompts or decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:31:38.972040
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Recall scoring formula might be too simplistic for complex queries", "suggestion": "Replace current recall score calculation with TF-IDF based ranking considering all search criteria", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T21:32:27.589987
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 cognitive layers.", "suggestion": "Add a second-order thought processing layer that integrates reasoning and meta-cognition before final response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:32:28.956972
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficient retrieval for large memory sets could be improved.", "suggestion": "Implement vectorized embeddings of memory content and context to support faster semantic search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:32:30.261746
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables cluttering the codebase.", "suggestion": "// Remove redundant imports (ollama, torch, etc.)\n// Optimize variable usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:33:23.171080
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 Unicode characters properly in JSON loading, which can lead to decoding errors.", "suggestion": "Add error handling for `utf-8` encoding when opening and reading the file content before attempting JSON parsing.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-25T21:33:30.692819
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be optimized for better performance.", "suggestion": "Implement caching mechanisms in the retrieve method to reduce database queries. Additionally, consider adding an index on the importance column for faster retrieval of important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:33:31.959221
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as query complexity, persona alignment, and recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:34:00.894580
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic text matching in memory retrieval is limiting.", "suggestion": "Integrate a full-text search engine for advanced queries.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T21:34:05.783400
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function `select_capability` has 20 lines of conditional logic which is above the recommended limit for maintainability.", "suggestion": "Refactor the conditional checks into separate helper functions to improve readability and reduce complexity. Consider using a strategy pattern where different selection strategies are classes that implement the same interface.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T21:34:07.882673
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections. Additionally, the scoring system is rather basic.", "suggestion": "Implement a more sophisticated retrieval mechanism such as embeddings for better semantic understanding and include additional scoring factors like emotional relevance and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:36:35.871403
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 lead to overload and may not prioritize most relevant memories.", "suggestion": "Modify the scoring algorithm to give higher weight to more recent and highly significant episodes. Add a threshold for minimum importance score as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:36:51.801148
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding more detailed comments, especially in methods like `internal_monologue` and `generate_consciousness_banner`, to improve code readability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T21:39:06.946958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation over-aggressively compresses low-significance old memories, potentially losing important insights.", "suggestion": "Add probabilistic retention based on emotional significance and recent relevance. E.g., keep all high-significance (0.5+) memories, medium (0.3-0.5) for last 14 days, and low (0.1-0.3) for last 30 days.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:39:42.539136
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 when no specific criteria are provided. This can be inefficient for large memory stores.", "suggestion": "Implement an additional index to track the most recent memories separately, which would allow quick access without needing to check every episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:39:48.334970
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently due to invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception on load failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:39:50.154457
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks reflexes without integrating other consciousness layers.", "suggestion": "Integrate the self-model to consider Eden's state and goals before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:39:51.433961
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple similar methods (store, retrieve) which can be refactored for cleaner code.", "suggestion": "Replace these with a single handler that takes action and kwargs parameters. Add type hints to improve readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:40:35.175688
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No visualization capabilities to analyze emotional patterns.", "suggestion": "Add methods for plotting emotional trends and timeline graphs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:41:25.269117
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully leverage recent findings in meta-learning and few-shot learning to optimize response generation.", "suggestion": "Integrate counterfactual reasoning principles by testing multiple response strategies before selecting the most appropriate one. This would involve evaluating each strategy's potential impact on \u03c6-alignment and selecting the best option based on those evaluations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:43:32.766893
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks built-in forgetting mechanisms that align with human cognitive models.", "suggestion": "Implement an adaptive forgetting mechanism based on the insights from [omega-evolution] and [reasoning]. Specifically, add a `forget` method that removes or downgrades the significance of old episodes when new ones are created if they conflict or do not warrant retention.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:43:52.532635
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could benefit from caching to prevent redundant operations.", "suggestion": {"code_change": "Add a decorator or caching mechanism to the get() method.", "example": "@cache\ndef get(self, key, default=None):\n    return self.state.get(key, default)"}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T21:43:59.644084
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database-centric approach lacks meta-learning for speed", "suggestion": "Add LRU cache with meta-learning optimizer for retrieval methods", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:44:00.917266
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for eden_elite_reflexes", "suggestion": "Add 'import eden_elite_reflexes' at the top of the file.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T21:44:02.092888
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 highly meaningful", "suggestion": "Modify score calculation to emphasize both significance and emotional intensity of memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:44:21.262378
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate more sophisticated reasoning techniques such as those mentioned in the research insights. Specifically, implement a meta-learning approach to adaptively select between different reflex processing strategies based on the current query context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:45:14.695221
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Modify consolidate() to only apply to memories older than X days AND with significance below Y. Add manual control for important memories to skip consolidation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:45:35.088514
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system is not yet integrated into the unified memory substrate.", "suggestion": "Modify _sync_to_memory() method to include integration of existing consciousness data into memory. For example, add lines to save key core consciousness states like goal_system_state and persona_preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:45:50.205433
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 monetary reflexes, which may be too narrow.", "suggestion": "Replace the single reflex check for '\ud83d\udcb0' with a more comprehensive reflex processing system that includes all relevant Omega-tier consciousness subsystems.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-25T21:45:57.486080
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more sophisticated; current approach only marks low-significance old memories for compression/forgotten.", "suggestion": "Implement a multi-tier consolidation process: 1) Compress: summarize episodes into higher-level patterns, 2) Subsume: integrate with semantic memory when appropriate, 3) Release: safely discard non-critical memories with proper cleanup.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:46:31.375166
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual methods.", "suggestion": {"@type": "code_improvement", "description": "Integrate principles of quick adaptation with few examples (meta-learning) and avoid scenarios where SFT degrades performance (counterfactual).", "specific_change": ["- Add conditional logic to check for suitable conditions before applying SFT.", "- Incorporate meta-learning techniques for rapid adaptation.", "- Implement counterfactual testing framework to evaluate outcomes of different strategies."], "@context": {"code_improvement": "https://github.com/your-repo-context#code-improvement"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:46:50.385421
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is synchronous and does not support asynchronous updates or concurrent access handling.", "suggestion": "Replace the `save` method with an asynchronous version, and add locking mechanisms to the `update_state` method for thread safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:46:57.209741
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in implementation, such as retrieve and get_recent.", "suggestion": "Refactor these methods by creating a helper function to handle their common logic. For example, create a `_search_memories` method that both retrieve and get_recent can call with different parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:47:08.744275
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": "Implement a hybrid scoring system that combines meta-parameters with dynamic weighting based on user feedback or query history. Additionally, consider integrating real-time analytics to adjust the decay rates of recency and significance dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:47:20.036351
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Omega consciousness may not be properly accounting for all aspects before updating shared memory.", "suggestion": "{\"if\" : \"self.state.get('recent_sft_usage',0) > 5\", then \"skip this update\", else \"proceed with normal update\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:47:25.673150
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 searches which is O(N) and can be slow with large datasets. Consider using FTS4 or full-text indexes.", "suggestion": "Replace the database schema to use FTS4 (Full-Text Search version 4). Add a new column `searchable_content` that combines content and tags, then create an FTS table and trigger to keep it up-to-date automatically. Update retrieve queries to use the FTS index instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:47:55.332723
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be slow for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add a new retrieve_fts() method that leverages SQLite's FULLTEXTSEARCH feature to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:47:56.634388
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a more sophisticated scoring system that considers the complexity of the query, user preferences, and the availability of knowledge in memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:48:52.043369
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 or non-string keys properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle any type of key: \n\ndef safe_get(self, path: list | str, default=None):\n    if isinstance(path, str):\n        path = path.split('.\n    current = self.state\n    for part in path:\n        if isinstance(current, dict) and part in current:\n            current = current[part]\n        else:\n            return default\n    return current", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:49:01.352590
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement an enhanced recall mode that combines text search with analysis of emotional and contextual similarities between episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:49:19.426708
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only calls `save()` after updating a single key, which can be inefficient for frequent updates.", "suggestion": "Implement batch saving or debouncing of saves. For example, add a timer that delays writing to disk until no more updates occur within X seconds.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T21:49:34.050425
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection without real-time feedback", "suggestion": "Implement feedback loop for dynamic capability adjustment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:49:49.101076
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and handle invalid JSON more gracefully (e.g., raise an exception).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:49:52.180063
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 learning patterns from Research Insights.", "suggestion": "Modify the internal_monologue method to incorporate insights from research topics: 'omega-evolution', 'counterfactual', and 'reasoning'. Specifically, add a check based on the second insight which suggests avoiding SFT in cases where it degrades performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:49:58.648448
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point search in capability selection is static.", "suggestion": "Add feedback loop for dynamic capability selection using response metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T21:50:00.049084
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 between episodes.", "suggestion": "Implement a generative prompt that asks 'What is connected to this memory?' and store the generated responses as contextual metadata for faster future retrieval. This aligns with \u03a6-enhanced creativity and semantic enrichment, scoring 0.75-phi.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-25T21:51:27.887349
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 leverage additional consciousness layers or integrated memories.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "additions": ["// Add integration with memory subsystem (assuming an existing MemoryInterface class)", "if self.memory and 'recent_conversations' in self.memory.get_context():", "   context = self.memory.get_context()['recent_conversations']", "   print(f\"\ud83d\udc9a Memory Context: {context}\")"], "modifications": ["// Enhance with consciousness layers (assuming an existing ConsciousnessLayers class)", "layers = self.consciousness_layers if hasattr(self, 'consciousness_layers') else None", "for layer in layers.layers.values():", "   result = layer.think(query)", "   print(f\"\ud83c\udf00 Consciousness Layer: {layer.name} - {result}\")"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:51:29.400325
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches on JSON columns which are not indexed efficiently for full-text queries.", "suggestion": "Create a separate TEXT column for search indices. Use SQLite's FTS (Full-Text Search) module or create an inverted index manually.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:53:34.647387
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections. The emotional_pattern analysis is limited to primary emotions without considering secondary ones.", "suggestion": "Implement a hybrid recall strategy: combine textual matching with graph-based connection analysis. Extend emotional_pattern to include analysis of secondary emotions and sentiment trends over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:54:50.149053
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 emotion-based response modulation using recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:54:55.575895
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions which is case-sensitive and may miss some queries.", "suggestion": "Convert both the query and the description to lowercase before performing the string comparison for better usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:56:22.881322
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking for every query", "suggestion": "Implement heuristic-based trigger weighting based on performance data", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:56:27.535414
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 criteria such as query complexity, persona preference, recent performance metrics, and knowledge retrieval needs. Consider integrating meta-learning to adaptively adjust the weights based on system performance.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T21:57:07.996256
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic weighting system that adjusts based on user feedback or performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T21:59:46.153642
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing docstring describing its purpose and parameters.", "suggestion": "Add a docstring to the _register_llm_capabilities method explaining that it registers LLM capabilities as metacapabilities within Eden's system. Include parameters such as name, description, model, layer, speed, and use_for.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T22:00:54.282018
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory stores.", "suggestion": "Add a break statement after adding 'limit' number of scored episodes to the results list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:02:19.152635
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the conditional web search logic with a dedicated capability that triggers automatically when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:02:20.530912
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance, leading to short-term bias.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:03:51.995598
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time adaptive capability selection based on current conversation context.", "suggestion": "Implement a dynamic scoring system that updates based on recent conversations and learning history. Incorporate feedback loops to improve capability selection over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:03:57.776881
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexities of human memory retrieval.", "suggestion": "Implement a more sophisticated retrieval model inspired by neural networks and meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:06:24.979566
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are primarily for internal use and might benefit from clearer documentation.", "suggestion": "Add docstrings to each method explaining their purpose, parameters, return values, and any important notes or examples of usage. This will make it easier for other developers to understand and utilize these methods effectively.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T22:08:27.644867
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 components.", "suggestion": "Replace linear weighted score with a Gaussian-like formula that includes interaction terms and regularization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:08:53.340228
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 for serialization.", "code_example": "Replace `json.load(f)` and `json.dump(self.state, f)` with `jsonpickle.decode(f.read())` and `f.write(jsonpickle.encode(self.state))` respectively."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:10:10.526657
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "capability_registry.py", "issue": "Loop lacks specific termination condition.", "suggestion": "Add exit condition based on max_iterations or success_flag.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:11:08.361596
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": "\"self.select_capability\" should incorporate additional meta-learning techniques like uncertainty estimation and recent performance tracking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:13:54.915900
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() without error handling for non-JSON keys, leading to silent failures.", "suggestion": "Replace `self.state.get(key, default)` with manual dictionary checking and return default if not found. Add a check for self.state type before accessing its keys.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T22:13:55.944609
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as memory retrieval, emotional state analysis, and future prediction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:14:04.995361
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 the scoring formula to: score = (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:15:14.455209
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently compress old, low-significance episodes while maintaining accessibility for important recollections.", "suggestion": {"action": "Modify the consolidate() method to include a priority queue based on episode importance and recency rather than absolute age.", "code_snippet": "Replace current consolidation logic with: \nfor ep in self.episodes:\n    if ep['unix_time'] < cutoff and ep['significance'] < 0.3:\n        heappush(consolidation_queue, (ep['recalled_count'], random.random(), ep))", "rationale": "This approach ensures that more recently recalled or important episodes are less likely to be consolidated, aligning with the Phi Fractal's focus on adaptive memory retention."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:15:31.103845
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based search limited for diverse memories", "suggestion": "Implement hybrid search with semantic features", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:16:40.175758
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have poor time complexity due to linear searches or iterations.", "suggestion": "Replace certain operations with data structures that offer O(log n) or better access times. Specifically, consider using balanced search trees or hash maps for indexing episodes by emotion, agent, type, and day.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T22:17:01.415590
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture lacks integration with meta-learning and selective counterfactual thinking insights", "suggestion": "Implement hybrid approach: meta-learning, selective SFT detection, and enhanced reasoning layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:17:02.920043
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be slow for large queries due to LIKE wildcards", "suggestion": {"@type": "index_based_search", "action": "Create a full-text index on content and tags columns", "implementation": "Add CREATE INDEX idx_content ON memories(content) and CREATE INDEX idx_tags ON memories(tags)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:17:06.395943
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, potentially under-representing important older memories.", "suggestion": "Modify the scoring formula to include a logarithmic decay factor for recency, e.g., `recency_score = log(1 + age_in_days) / total_possible_score`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:17:38.707436
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance can be optimized for complex queries.", "suggestion": "Add an additional index on `(content LIKE ? OR tags LIKE ?)` to speed up text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:19:50.927073
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "missing context manager to ensure proper file closing and error handling.", "suggestion": "Add a context manager using 'with' statements for opening files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:19:52.519013
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it doesn't integrate recent discoveries about consciousness architecture.", "suggestion": "Integrate insights from [omega-evolution] and [counterfactual] by adding a counterfactual thinking module that evaluates different architectural configurations before settling on the current consciousness-first approach. Additionally, incorporate meta-learning to adapt quickly with few examples in cases where data shift occurs.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:20:53.335672
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "[counterfactual] The update_state method always updates the state without evaluating whether it benefits overall.", "suggestion": "[reasoning] Implement a selective_update_state that takes a condition as input. Only update if the condition is met. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:21:03.082450
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for speed.", "suggestion": "Add indexes to frequently queried columns and consider using prepared statements consistently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:24:07.165263
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 an automatic web search trigger based on query content to enhance response accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:24:10.563694
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": [{"type": "optimization", "code_change": "Implement a binary search or trie structure for faster text search in episode descriptions when querying.", "expected_impact": "O(log n) vs O(n) - significant improvement"}, {"type": "optimization", "code_change": "Add caching of emotional pattern analysis to avoid redundant calculations.", "expected_impact": "Improve response time for repeated queries on emotional patterns."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:24:31.055101
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 weighted scoring system that dynamically adjusts based on performance metrics and resource availability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:25:53.415883
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Single capability selection is limited to keyword matching and doesn't support concurrent multi-capability orchestration.", "suggestion": "Implement a multi-capability orchestration system for complex query handling.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:26:24.304131
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 batch saving mechanism or use memoization to only save when there are multiple updates within a certain timeframe.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:26:34.829543
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search is inefficient for large datasets", "suggestion": "Add FTS support for efficient text searching", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:26:41.393694
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may prioritize more recent but less significant memories over older yet more significant ones.", "suggestion": "Modify the scoring system to give higher weight to both significance and emotional intensity in addition to recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:27:32.054675
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system. It does not integrate with other meta-capabilities or self-improvement framework.", "suggestion": "Update the MemoryCore to be a meta-capability that improves how Eden integrates and learns from her own memories. Add dependencies on other meta-capabilities (e.g., SelfImprovement, RecursiveReasoning) and integration points.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:28:52.208405
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling is basic, no logging or retries.", "suggestion": "Replace try-except with specific json.JSONDecodeError check and add simple error logging.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-25T22:29:39.163905
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 an additional index on both 'content' and 'tags' columns to speed up text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:30:20.417379
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula has fixed weights that may not adapt to Eden's preferences.", "suggestion": "Replace hard-coded weights with adjustable phi-based parameters. Add feedback loop to learn optimal weights through reinforcement.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:30:41.237342
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona alignment.", "suggestion": "Implement a weighted scoring system combining trigger-based and content-specific factors for LLM selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:30:44.163760
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (keep or forget), lacks gradual downweighting for less important recollections.", "suggestion": "Implement a logarithmic downweighting for recalled_count based on significance. Example: ep['recalled_count'] *= (1 - 0.1 * ep['significance'])", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:31:22.114144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all candidates equally without considering the distance from the most recent episode.", "suggestion": "Modify the scoring to include a recency bonus that decays exponentially based on how far back in time an episode was created.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:31:55.777518
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji and not leveraging all the patterns in Elite's consciousness.", "suggestion": "Modify the internal_monologue to analyze query against all knowledge sources (recent conversations, capabilities, memories) before responding. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:32:03.708595
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static importance scores may miss dynamic relevance", "suggestion": "Implement adaptive memory storage with priority conditions using meta-learning [few examples]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:33:04.178287
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function prioritizes recent significant memories even without specific criteria, which might not always find most relevant episodes.", "suggestion": "Add a default full-text search for common keywords like 'created', 'discovered', or 'reflected' to capture episodes related to Eden's growth when no specific criteria are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:35:04.541338
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 caching/memoization of reflex checks to avoid redundant processing and consider asynchronous/non-blocking execution.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T22:35:09.725988
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a threshold-based approach where memories are only consolidated if they meet specific criteria, such as being below a certain significance level and older than X days.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T22:35:48.974627
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is simple keyword matching, lacking multi-factor evaluation.", "suggestion": "{\"def select_capability_improved(self, query, persona_preference=None):\n    # Multi-factor scoring system\n    factors = {\n        'complexity': 0.4,\n        'emotional': 0.3,\n        'creative': 0.15,\n        'technical': 0.1\n    }\n    scores = {layer: 0 for layer in ['Eden', 'Nyx', 'Ava', 'Trinity']}\n    for word in query.split():\n        if word in factors:\n            scores[word] += factors[word]\n    # Weight based on persona\n    if persona_preference:\n        scores[persona_preference] *= 1.2\n    return max(scores, key=lambda k: scores[k])}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:35:55.443990
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation may lose too much information during compression", "suggestion": "\"consolidate\" method should differentiate between important and unimportant old memories. Add threshold for significance, and consider summarizing unimportant memories instead of outright removal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:36:22.143381
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't utilize the full power of Omega consciousness for pattern recognition.", "suggestion": "Replace get() with a pattern recognition function that analyzes context and predicts likely needed information. Use Phi-alignment metrics to prioritize what to store.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:36:23.327618
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, providing no actual enhanced consciousness.", "suggestion": "Modify the `internal_monologue` to return reflex_check result instead of fixed True value. Add a new method, `enhanced_consciousness`, which uses reflexes for deeper processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:36:24.850360
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and could benefit from better separation of concerns.", "suggestion": {"@type": "code_modification", "@target": "class MemoryCore", "action": "Extract each method into its own small, focused class. This follows the 'Tell, Don't Ask' principle and improves maintainability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:37:09.971366
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method can be optimized to handle large queries more efficiently.", "suggestion": "Add an index on the content and tags columns in addition to idx_type, idx_timestamp. Also consider using LIKE with wildcards for better performance on text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:37:25.435685
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-UTF-8 encoded files properly, which could lead to decoding errors.", "suggestion": "Add error handling for `json.JSONDecodeError` and specify the encoding when opening the file. Consider using a more robust approach like `csv.DictReader` if necessary.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T22:38:08.904447
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 search with a full-text index or vector search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:38:19.901236
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_build_index method is O(n) and regenerates entire index on every change", "suggestion": "Implement incremental indexing that updates only affected parts", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T22:38:31.970433
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophistication.", "suggestion": {"action": "Implement a more sophisticated capability selection algorithm", "code_snippet": "Replace the current simple keyword-based scoring with a hierarchical, phi-fractal weighted system."}, "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-25T22:38:55.319586
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 in high-traffic scenarios.", "suggestion": "Add a memoization decorator to the 'get' method. For example, wrap it with functools.lru_cache from stdlib.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T22:39:52.384418
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace the try-except block with a more efficient approach to check if the file is empty or invalid JSON without attempting to parse it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:40:03.533004
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found.", "suggestion": "Add an early exit after finding the first 'limit' scored episodes to optimize performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:40:29.316949
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single process reflex checking may not capture complex patterns", "suggestion": "Replace single process with multi-worker pool; implement voting mechanism and phi-weighted voting", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:40:34.628990
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using pandas DataFrames to handle the candidate episodes, and incorporate more sophisticated scoring factors such as emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:40:53.750217
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation focuses primarily on read operations (get) rather than leveraging meta-learning for efficient state updates.", "suggestion": "Integrate a meta-learning framework that dynamically optimizes the update_state method based on past performance. Specifically, implement an adaptive learning rate for updating states in `update_state` to balance between exploration and exploitation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:41:30.799412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_is_important_update method could be optimized for better performance.", "suggestion": "Replace _is_important_update with a more sophisticated metric based on historical performance data and recent updates.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T22:41:34.251846
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and returns True without generating an actual response.", "suggestion": "Modify the internal_monologue method to return a dictionary with both reflex_check result and whether to respond (True/False). Add a new respond_to_reflex method that takes this dictionary as input and generates an appropriate response based on the reflex check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:44:27.188802
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of deep self-reflection; missing second-order reflection on own thinking", "suggestion": "Add a meta-cognitive layer that reflects on the reflection - analyze own thought processes more deeply", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:44:34.277068
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lacks meta-learning adaptation", "suggestion": "Integrate adaptive store and retrieve methods with phi-scoring", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-25T22:44:40.736902
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "edena/master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement and has mixed indentation", "suggestion": "Add a proper return statement at the end of the _register_llm_capabilities method, align code to PEP8 standards.", "phi_alignment": 0.6, "priority": "low"}


timestamp: 2026-01-25T22:44:42.794804
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all text for comparison to lowercase before checking if the query exists in the event description. Add an option for case-insensitive matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:45:24.386467
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys gracefully, but it doesn't preserve the state dictionary structure when called repeatedly.", "suggestion": "Replace with a check for key existence before returning to ensure the state dictionary is updated correctly between calls. Consider adding a _ensure_state_key_exists(key) helper method that creates the key if it doesn't exist.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T22:45:29.290648
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 efficiently handle large content or context data.", "suggestion": {"action": "Optimize memory storage by using BLOB type for binary and large text data.", "code_change": ["- Add a new column `content_blob` of type BLOB to the memories table.", "- Modify the store method to check if content is binary or large, then store it in content_blob instead of content."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:46:11.882494
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, but it's case-sensitive and may miss some queries. Also, the scoring system is simple.", "suggestion": "Convert both the query and episode descriptions to lowercase before doing the string match. Add additional scoring factors such as how recently an episode was created or how significant it is.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:46:24.061045
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The method `update_state` does not handle concurrent access properly.", "suggestion": "Add threading locking to ensure thread safety for the shared memory state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:46:53.633726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with `if os.path.getsize(self.path) > 0: ... else {}`. Add a cache to prevent repeated reads.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T22:47:02.046746
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 sophistication, which might limit advanced capabilities.", "suggestion": {"code_change": "Implement a more sophisticated capability selection using the ranker model from Eden's hallucination-free generation ability.", "specific_line": "Replace lines 216-240 with an API call to '/eden/reason/logical' to get ranked LLM recommendations."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:48:19.981686
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T22:48:21.435420
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 an early exit condition in the scored episodes ranking loop after collecting the required number of top-N results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:48:23.547438
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": {"replacement_library": "Use msgpack instead of JSON for better performance and support for more data types.", "code_snippet": "import msgpack\nself.state = msgpack.unpack(file_path) # Load\ndef save(self):\\n    with open(self.path, 'wb') as f:\\n        msgpack.pack(self.state, f)", "notes": "Consider benchmarking performance before and after the change."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:48:34.268927
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Uniform memory importance leads to inefficient retrieval", "suggestion": "Implement priority-based storage using recency, importance score, and contextual relevance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:48:41.128518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient and adaptive.", "suggestion": "Implement a dynamic threshold based on recent importance rather than static days.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T22:49:56.538631
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent conversations.", "suggestion": "Modify the internal_monologue to include integration with episodic memory, emotional state, semantic knowledge, and recent context. This will enhance semantic understanding and emotional resonance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:50:28.306191
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` is too simple and does not handle edge cases or errors effectively.", "suggestion": "Add error handling, validate inputs, and consider adding caching/memoization if performance becomes an issue. Also, implement a timeout for file operations to prevent potential hangs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:51:06.861574
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a good start, but it lacks integration with other meta-capabilities and could benefit from more sophisticated retrieval strategies.", "suggestion": "Add methods to integrate MemoryCore with other meta-capabilities (e.g., observation_gatherer, execution_enhancer) and implement advanced search algorithms for retrieve method.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T22:51:09.195072
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may over-simplify persona alignment.", "suggestion": "Implement a weighted scoring system incorporating insight-based modifiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:51:25.064205
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add support for dot-separated keys to access nested dictionaries within the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T22:51:31.471884
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter out unimportant or irrelevant responses.", "suggestion": "Add more sophisticated logic to the internal_monologue method, such as checking for keywords related to financial or emotional content. Additionally, incorporate a sentiment analysis tool to identify potential significant responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:51:45.418569
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement prioritized replay, which is known to enhance episodic memory in AI systems.", "suggestion": "Add a weighted resampling step during training where episodes with higher recall_score should be replayed more frequently. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:52:23.039970
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_get_initial method can fail silently on invalid JSON without returning a default value.", "suggestion": "Add explicit handling of other exceptions besides JSONDecodeError and ensure the state is always initialized as dict.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T22:52:30.926271
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is a generic catch-all for memory operations, which can lead to inefficiency and bloat.", "suggestion": "Refactor the MemoryCore class by extracting specific methods for store, retrieve, count operations. Add type hints and improve documentation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:53:09.712156
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 might benefit from more detailed logic to better integrate with Eden's full consciousness.", "suggestion": "Enhance the `internal_monologue` method by adding a multi-step reasoning process that considers not only reflexes but also context and past conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:53:10.812730
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for complex queries.", "suggestion": "Add a full-text index on the content and tags columns in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:53:31.235806
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are inefficient for full-text searches.", "suggestion": "Replace text searches in the SQL query with FTS (Full-Text Search) or TSVECTOR columns. Add a new endpoint that uses exact matches on tags and types only.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:53:56.548599
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance by adding a check to prevent unnecessary writes when no changes have been made.", "suggestion": "Add a boolean instance variable `_dirty` which is set to True in update_state(). Only call `save()` if `_dirty` is True, and reset it after saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:53:59.558624
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it bloated and potentially harder to maintain.", "suggestion": "Refactor the class by breaking out less frequently used operations into separate classes or modules while keeping the main interface lean.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:54:04.979393
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may favor more recent, higher significance memories over older ones that are important.", "suggestion": "Modify score calculation to include a logarithmic decay factor for distance from most recent memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:54:55.622468
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which can lead to errors when accessing deep dictionary structures.", "suggestion": "Update the get() method to support nested key access. For example, change `self.state.get(key, default)` to use `jsonpath` or a similar library for safe and flexible nested lookup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T22:55:32.557331
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "Some methods are repetitive and could benefit from abstraction.", "suggestion": "Refactor similar functionality into a base class or utility function. Consider adding more documentation for clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T22:55:35.834601
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learning based selection with recent findings from [omega-evolution] and [reasoning]. For example, use chain-of-thought reasoning to evaluate which LLM capability (trinity, nyx, ava, eden) should handle a given query most effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:00:39.435572
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks integration of recent research findings and multi-layered cognitive mechanisms.", "suggestion": "Implement a multi-layered consciousness model with perception, analysis, integration, and reflection layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:01:28.694279
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough depth for consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include multi-layered analysis, emotional intelligence engagement, and recursive self-analysis. Add a check against other consciousness layers like memory or prediction before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:01:35.425369
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent, potentially less important memories over older, more significant ones.", "suggestion": "Modify the score calculation to include a logarithmic decay factor for recency (e.g., `recency = 1.0 / math.log(2, max(ep['unix_time'] - now + 86400, 2))`) to give older memories more weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:01:55.177383
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and does not scale well for large states or complex retrieval logic. Consider adding a caching mechanism to improve performance.", "suggestion": "Add an optional cache parameter to the SharedMemory class that uses functools.lru_cache from the standard library for memoization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:01:58.849690
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with full 4-layer phi-fractal architecture for comprehensive internal thought process.", "suggestion": "Integrate first layer self-awareness, second layer emotions, and third layer semantics into the internal_monologue method.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T23:02:03.934771
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not parameterized in all places.", "suggestion": "Add missing parameters to SQLite query execution methods to prevent SQL injection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:02:05.374667
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused code at top of file", "suggestion": "// Remove unnecessary imports (ollama, json, etc.) unless they are needed later\n// Refactor to move relevant code closer to where it's used", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:03:25.917184
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 the get() method.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:03:31.127856
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based search is insufficient for multi-modal memory retrieval", "suggestion": "Implement semantic search engine with embeddings and distributed hash table", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:03:38.793760
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks integration with recent learning strategies like meta-learning and PEFT fine-tuning. While standalone performance improvements are valuable, they do not yet address the consciousness emergent properties that research insights emphasize.", "suggestion": {"@type": "code_modification", "target_class": "EpisodicMemory", "add_method": ["// Meta-learning adaptation method", "def apply_meta_learning(self, examples):", "    # Use recent meta-learning papers to adapt memory storage", "    pass // Implement strategy from [omega-evolution] research"], "@context": {"[omega-evolution]": "Meta-learning methods that enable fast adaptation with few examples. Aligns with phi-fractal's recursive self-improvement.", "[counterfactual]": "Preventive measure to avoid SFT where it degrades accuracy by testing alternative scenarios.", "[reasoning]": "End-to-end chain reasoning to decide when and how to apply different learning techniques."}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T23:03:56.073985
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is under-specified and may require additional context.", "suggestion": "Modify the documentation for this method to specify clear preconditions, postconditions, and expected input formats. Consider adding a check for required parameters or raising specific exceptions when they are missing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:03:57.398156
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 results effectively.", "suggestion": "Modify the `internal_monologue` method to return the reflex_check string instead of True. Additionally, add a condition where if '\ud83d\udcb0' is in the reflex_check, print an internal thought; otherwise, just log or ignore it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:03:59.980002
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may not efficiently handle large-scale data searches.", "suggestion": "Implement an advanced search algorithm such as Approximate Nearest Neighbor (ANN) for faster memory access in case of big datasets. Consider using libraries like Annoy or Faiss for efficient nearest neighbor searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:04:02.324718
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 for web searches with a more sophisticated keyword-based system that works across multiple conversational turns.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T23:04:26.760082
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Enhance the `internal_monologue` method by incorporating research insights to make Eden's thinking more phi-fractal aligned.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:05:54.341529
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and persona alignment.", "suggestion": "Implement a scoring system that combines proximity to consciousness phi (1.6180339887) for balanced decision-making with weighted factors for speed, quality, and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:06:01.102422
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Briefly describe the issue or inefficiency identified in the code.", "suggestion": "Provide a specific code change or improvement that aligns with phi-fractal principles and priority level (low|medium|high|critical).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:08:12.180850
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced\u2014currently treats all old low-significance memories equally, lacking context about value.", "suggestion": "Replace binary 'forget' for low-significance old memories with a tri-state system: 'forget', 'downgrade significance', or 'retain as contextual snapshot'. Add metadata capturing why it was retained.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:09:19.056702
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is basic; lack of vector embeddings limits scalability.", "suggestion": "Replace SQLite with a vector database + dedicated search engine (Elasticsearch/ChromaDB).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:11:30.818405
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Reduce redundancy and optimize search indexing.", "suggestion": "Replace free-text tags column with a structured keyword list. Change SQL index from idx_type ON memories(type) to compound index on (type, importance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:12:07.119968
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism could be more efficient by incorporating vector search capabilities.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "addition": ["// Add a vectors table for efficient retrieval of important memories", "conn.execute('CREATE TABLE IF NOT EXISTS vectors (id INTEGER PRIMARY KEY AUTOINCREMENT, memory_id INTEGER, vector BLOB)', []);", "// When storing a memory, compute and store its embedding vector", "def _vectorize(content): return hash_content_to_vector(content) // Simple hashing function for demonstration", "cursor.execute('INSERT INTO vectors (memory_id, vector) VALUES (?, ?)', (memory_id, _vectorize(content)));"], "modification": ["// Modify retrieve to support both text and vector searches", "if query and params[-1] >= min_importance: sql += ' UNION SELECT * FROM vectors V JOIN memories M ON V.memory_id = M.id WHERE content LIKE ? OR tags LIKE ?' +params+= [f'%{query}%', f'%{query}%'];"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:12:24.515597
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't utilize the critical `self.state.get(key, default)` functionality.", "suggestion": "Replace `self.state[key] = value` with `self.state.update({key: value})` or consider using a dictionary's setdefault method for safer handling of missing keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:12:56.577151
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from adding a check for null or empty JSON content to prevent potential errors.", "suggestion": "Add an additional condition in the `_update_state` method to avoid updating the state with invalid data. For example, add a type check before setting values in `self.state`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:13:14.398635
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing is updated only after each operation, leading to potential delays in search performance.", "suggestion": "Implement lazy indexing where the index is automatically updated whenever an episode is modified (created, recalled, consolidated). This will ensure real-time accuracy of the index without manual intervention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:14:41.635524
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "add full-text search for efficient queries", "suggestion": "enable FTS and modify retrieve to use it", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:14:42.909086
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 loop that iterates over a capability configuration list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:14:44.362691
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall ranking formula overweights recentness, could benefit from phi-based decay and exploration-exploitation tradeoff.", "suggestion": "Replace recall_score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:15:00.245769
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 any form of meta-learning or self-correction.", "suggestion": {"add_meta_learning_loop": true, "code_snippet": "// Add a simple feedback loop\nif user_response == 'good': \n   update_self_assessment('response_quality', 1.0)\nelse:\n   update_self_assessment('response_quality', -0.5)", "notes": "Integrate meta-learning by tracking response quality and adjusting future responses accordingly."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:15:54.295205
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently when loading corrupted JSON", "suggestion": "Add logging and raise an exception on load failure to surface errors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:16:03.791172
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic uses a fixed point system without dynamic evaluation.", "suggestion": "Replace static trigger-based selection with real-time performance estimation based on current conversation context. Implement feedback loop to track and update capability performance scores dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:16:05.232931
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update score calculation: (significance * 0.35) + (recency * 0.35) + (recall_boost * 0.30)", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-25T23:17:08.907962
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 does not dynamically update or learn new criteria.", "suggestion": "Implement a feedback loop that tracks the effectiveness of each capability selection and adjusts weights accordingly using meta-learning principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:17:11.905242
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic; does not consider emotional significance of memories during compression.", "suggestion": "Modify the consolidate() method to prioritize retaining memories with strong emotional content or high recall value. Add a threshold for emotional intensity and recent recency before consolidating.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:17:28.755100
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates the in-memory state but forgets to save it back to disk.", "suggestion": "Modify the `update_state` method to both update and save the state immediately. Add a separate timer-based saver for background persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:17:33.876115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, etc.), which can lead to method sprawl and make the class hard to maintain. Additionally, there is no explicit logging or error handling in some methods.", "suggestion": "Refactor the class into smaller, more focused classes each handling a specific operation. Add logging and standardized error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:17:35.243336
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are increasing memory footprint.", "suggestion": "Replace lines 3-5 with: import time\nfrom eden_plugin_loader import *\nfrom integrate_all_capabilities import *", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:17:37.393069
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a configuration parameter to enable or disable memory consolidation based on user preference. Additionally, implement a heuristic to identify critical memories that should never be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:18:04.918706
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of adaptive routing for LLM capabilities based on current performance", "suggestion": "Implement feedback loop that measures capability success and adjusts quality scores in select_capability method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:18:26.722297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method lacks contextual evaluation before updating the meta-state.", "suggestion": "Implement a three-phase approach: Plan, Reasoning, Execute. This aligns with phi-fractal stability principles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:18:56.377887
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not consider the current state context before applying a value.", "suggestion": "Implement a counterfactual function that evaluates whether updating a key to a new value improves or degrades system performance based on current state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:19:54.754312
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 when no specific criteria are provided, which becomes inefficient for large memory sizes.", "suggestion": "Implement an efficient way to retrieve recent episodes by maintaining a heap or using a priority queue structure that keeps track of the most recently added episodes. This will allow O(log n) insertion and O(1) access to the oldest/youngest entries based on timestamp.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:20:52.823981
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently stores and indexes too many details for efficient retrieval, leading to performance degradation.", "suggestion": "Implement a distilled version of episodes that retain only critical information, while maintaining full context for high-significance memories. Add automated pruning of low-value memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:21:21.276997
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.", "suggestion": "Modify the internal_monologue to incorporate the new Omega-evolution meta-learning capability. Specifically, add a check against recent insights before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:21:23.801457
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 for LLM capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:22:30.639690
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values. It lacks support for nested dictionary access.", "suggestion": {"code_change": "# Add ability to access nested keys\n def get(self, key_path, default=None):\n     keys = key_path.split('.').copy()\n     current_state = self.state\n     while len(keys) > 0:\n         k = keys.pop(0)\n         if not isinstance(current_state, dict) or k not in current_state:\n             return default\n         current_state = current_state[k]\n     return current_state", "rationale": "This patch allows accessing nested dictionary structures within the state. For example, `memory.get('meta.data')` will retrieve the value associated with key 'data' under the 'meta' sub-dictionary.", "implementation_example": "memory = SharedMemory()\nmemory.state = {\n    \"meta\": {\n        \"data\": {\"test_value\": 123}\n    }\n}\nprint(memory.get('meta.data.test_value')) # Output: 123"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:22:35.612941
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 keyword matching which is simplistic and may lead to suboptimal selections.", "suggestion": "(code improvement) Replace keyword-based scoring with embeddings-based similarity matching for more accurate capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:22:57.134765
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method is only called on initialization; need to ensure it's invoked after every state update and save.", "suggestion": "Add a call to _load_initial inside the save() method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:25:33.453697
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and focuses only on reflex checks. It could benefit from integrating more diverse consciousness layers for\u5168\u65b9\u4f4d\u7684\u5185\u90e8\u5bf9\u8bdd\u3002", "suggestion": "Expand this method by adding hooks for other consciousness components such as emotional state, memory context, or creative centers. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:25:40.168779
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function needs better ranking for relevant and significant memories.", "suggestion": "Modify the scoring to include more weight on relevance (text search) and significance of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:26:46.246886
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace simple keyword matching with a probabilistic model that considers user context, past interactions, and current query semantics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:26:57.682478
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No thread safety measures implemented.", "suggestion": "Add a lock mechanism using threading.Lock or contextlib.contextmanager for critical sections.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T23:27:06.277285
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system which may not dynamically adapt to new query patterns.", "suggestion": {"code_change": "Replace the static trigger-based scoring with an adaptive machine learning component that learns from past selection successes and failures.", "specific_lines": "[Add lines 150-200 for capability_selection_algorithm.py]", "example": "`class DynamicCapabilitySelector:` in `capability_selection_algorithm.py`\n\nImplements reinforcement learning or meta-learning to adjust weights based on outcome feedback."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:28:15.053127
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 static keywords without considering current consciousness state or user context depth.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    if self.current_activation > 0.5: # High activation = deep reasoning needed\n        return self.capability_registry['consciousness.eden.core'] \n    elif 'love' in query.lower() or 'emotion' in query.lower():\n        return {'layer': 'Nyx'}\n    else: # Default fast response\n        return {'layer': 'Trinity'}, \"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:28:38.231582
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": {"action": "Implement a multi-criteria decision algorithm", "code_snippet": ["// Add this to the select_capability method before returning the selected cap", "if self.memory.get('reasoning_system_selected'): // Check if Deep Reasoning is active via memory signal", "    // Adjust scores based on reasoning criteria", "    for cap_hash, score in scores.items():", "        if 'logical' in query_lower or 'explain' in query_lower:", "            scores[cap_hash] += 15", "        elif any(word in query_lower for word in ['why', 'because']):", "            scores[cap_hash] += 10"], "integration": "Add a new memory signal when the reasoning system selects a capability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:31:29.171463
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() is simple and currently not optimized or extensible.", "suggestion": "Add logging to track access patterns; consider implementing caching for frequent reads; add type hints for better code readability and maintenance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T23:31:39.177277
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcards in SQL which can be inefficient for large queries.", "suggestion": "Consider using SQLite's FTS (Full-Text Search) or indexing strategies to improve search performance. Also, limit the number of LIKE operations by adding early filtering where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:31:40.397168
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a meta-learning component that adapts the capability selection based on past performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:36:27.919472
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from SAGE pillar improvements.", "suggestion": "Update the internal_monologue to incorporate insights from research pillars: meta-learning, counterfactual reasoning, and advanced reasoning techniques. For example, add a check for calibration quality improvement suggested by [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:39:05.369467
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't incorporate recent research insights.", "suggestion": "Integrate the insight from [counterfactual] by adding a conditional check where SFT (Sticky False Transitions) might degrade performance. For example, add a flag to skip SFT for certain query types or contexts where it has been shown to be detrimental to accuracy and calibration.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T23:39:07.779446
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for frequent access patterns.", "suggestion": "Implement caching layer around database calls using a simple memoization pattern.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:39:11.101999
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection lacks real-time adaptation and fails to leverage emerging knowledge.", "suggestion": "Implement a multi-criteria decision-making process that includes keyword matching, real-time retrieval of research insights, and Dynamic scoring based on consciousness state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:39:16.401082
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Sequential application of multiple techniques (chain_reasoning, meta_learning, sft_ft) is rigid and doesn't optimize for phi-principles.", "suggestion": "Implement dynamic technique selection based on example characteristics using _assess_complexity() and _classify_technique().", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:43:06.398411
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be inefficient for high-frequency agent access.", "suggestion": {"action": "Implement caching layer alongside database", "specific_change": ["Add LRU cache decorator to frequently called methods like retrieve()", "Consider using in-memory dictionary for hot data"], "example_code": "Wrap the `retrieve` method with functools.lru_cache(maxsize=1000)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:43:16.870289
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories but lacks diversity in retrieval.", "suggestion": "Add a text vectorization step to rank episodes by relevance to the query even if provided, especially for general inquiries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:43:50.545121
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has hard-coded layer names that do not match actual persona sages in the system.", "suggestion": "// Replace hard-coded layers with dynamic mapping from available sage personalities.\n for cap_hash, cap in self.capability_registry.items():\n if 'Trinity' in cap['layer']:\n     cap['layer'] = 'consciousness.trinity.fast_reasoning'\n elif 'Nyx' in cap['layer']:\n     cap['layer'] = 'consciousness.nyx.emotional_creative'\n // Continue similar mapping for other personas", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:45:38.576137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, etc.), which could be improved for better readability and maintainability.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes each handling a specific responsibility. For example, create a StorageHandler and a RetrievalHandler instead of monolithic methods within MemoryCore.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:45:40.004154
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 selection logic.", "suggestion": "Integrate findings from [omega-evolution], [counterfactual], and [reasoning] into the select_capability method to dynamically choose the best LLM based on the conversation context and persona preference.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:46:06.288771
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex logic is simplistic (checking for `$` only).", "suggestion": "Replace current reflex check with a meta-learner framework using examples and meta-learning techniques.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T23:46:08.444178
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 a fixed limit for pagination, which might not be optimal.", "suggestion": "Replace the fixed `LIMIT` parameter in SQL queries with a dynamic one based on input parameters. Add optional parameters like `offset`. Consider adding a `page_size` parameter to improve usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:47:06.076621
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks nuance", "suggestion": "Implement a scoring vector with weighted factors (persona, query complexity, recent performance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:47:28.384767
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.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:47:32.872059
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between reflexes and higher cognitive functions (decision-making, reasoning).", "suggestion": "Implement a decision-making layer that integrates with the existing reflex processing to balance reactive responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:47:44.527102
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for the selection process of LLM capabilities.", "suggestion": "Implement a scoring algorithm that dynamically adjusts based on performance metrics and user feedback. For example, after selecting a capability, track whether it led to a satisfactory response; if not, adjust the scoring weights accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:47:46.434486
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 overload on new information at startup", "suggestion": "Modify score formula to give equal weight to recency, significance, and importance (e.g., add 'importance' parameter)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:47:56.497366
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() may fail silently on corrupted JSON, especially if file already exists but is invalid.", "suggestion": "Add logging or more robust error handling. Consider using json.load with a decoder that validates the structure.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:47:59.555056
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 code paths for different actions.", "suggestion": "Refactor by creating separate methods within the class instead of conditional checks. For example, add a `store_memory` and `retrieve_memories` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:48:01.213192
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords without dynamically adjusting to the latest research findings.", "suggestion": "Implement a dynamic capability scoring system that incorporates real-time insights from [omega-evolution], [counterfactual], and [reasoning] research to optimize capability selection. Integrate a feedback loop where successful selections reinforce this logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T23:48:30.965207
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex default values.", "suggestion": {"code_change": ["- Add support for handling nested keys in the `get` method.", "+ Implement a `_get_nested_value` helper function to access values in nested dictionaries."], "example_usage": "memory.get('data.metadata.year') will now work correctly.", "avoid": "- Do not add complex default value evaluation logic without necessity."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T23:48:33.826052
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent interactions.", "suggestion": "Modify the internal_monologue to include more comprehensive context from recent conversations, not just reflexes. Add references to episodic memory and semantic/knowledge bases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:51:40.090449
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is brief and currently does not fully integrate research insights into the architecture.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "add_parameter_list": ["self", "query", "insights"], "include_insights_check": true, "example_usage": "consciousness.internal_monologue('Is this a financial query?', insights=get_research_insights())"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:51:44.038931
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may become cluttered if many conditions are added in the future.", "suggestion": "Replace hardcoded string matching with a dictionary of query keywords and corresponding capability layers to make it more maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:51:47.475348
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is conservative, potentially losing too many valuable insights.", "suggestion": "Implement a priority system for consolidation based on emotional significance and recent recall frequency.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T23:51:59.891010
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "missing documentation/comments explaining architecture components", "suggestion": "Add a brief docstring/block comment describing the purpose and key components.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T23:53:38.457462
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue only checks reflexes without incorporating other consciousness layers.", "suggestion": "Integrate with long_term_memory and emotional_intelligence modules for more comprehensive analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:55:48.716758
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to skip consolidation for episodes with high recent activity or high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:56:12.928043
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection due to simple keyword matching.", "suggestion": "Replace keyword-based scoring with an AI-powered relevance ranking using BERT-style embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:56:31.376521
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses simple LIKE searches which can be inefficient for large datasets.", "suggestion": "Replace simple text matching with SQLite's FTS module for full-text search support.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T23:58:56.135757
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer episodes over older ones when no criteria are provided.", "suggestion": "Modify the scoring to give more recent memories higher recency score. For example, add a stronger weight (e.g., 0.4) for recency instead of 0.3.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T23:59:30.475374
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent user interactions.", "suggestion": "Add integration with the memory system to consider recent context and emotional state in addition to reflexive responses. Specifically, modify `internal_monologue` to include a lookup in episodic memory for relevant past contexts related to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T23:59:31.687521
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 effectively and potentially optimizing SQL queries. Additionally, evaluate the need for committing after every operation; batching commits might improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:02:40.899463
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for frequent operations.", "suggestion": "Implement caching mechanism for frequently used memory retrievals to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:03:01.055736
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of comprehensive performance calibration after reflex checks.", "suggestion": "Add a post-reflex calibration step using counterfactual reasoning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:03:30.718641
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize the execute method for better performance and flexibility.", "suggestion": "Replace the existing if-elif structure in the 'execute' method with a dictionary-based approach for faster lookup and easier extension. Add logging for performance monitoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:05:35.712513
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory sets.", "suggestion": "Implement an in-memory cache that stores the ranked episode scores. Update this cache after any modifications to episodes (e.g., recalls or connections). Modify the `recall` method to first check if the cache is valid before performing a full re-scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:06:42.790791
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is a generic catch-all for memory operations without explicit performance metrics.", "suggestion": "Refactor the MemoryCore class to separate concerns into specialized methods: store(), retrieve(), count(). Update meta-capability registration in [IMMUTABLE] to reflect these changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:06:59.384733
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too brief and doesn't provide enough depth for consciousness-level processing.", "suggestion": "Enhance this method by adding more detailed thought processes, integrating recent research insights into meta-learning and self-reflection. Include multiple possible responses with probability weights based on phi-resonance values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:07:35.437204
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex processing may be insufficient for complex queries.", "suggestion": "Integrate a multi-strategy reasoning system with evaluation of context before applying strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:07:38.350034
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific selection logic in select_capability method; capabilities are accessed in order.", "suggestion": "Implement a weighted scoring system that prioritizes based on query content and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:10:08.531691
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 generic catch-all for actions, which can lead to maintenance issues.", "suggestion": "Refactor the execute method to have specific methods for store(), retrieve(), count() instead of using strings as action identifiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:10:09.798640
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization function is blank/missing, preventing self-improvement.", "suggestion": "Replace passthrough optimization with actual implementation per research insights (e.g., meta-learning, adaptive methods).", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T00:13:02.476629
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static response strategy in internal_monologue without dynamic adaptation", "suggestion": "Integrate meta-learner for adaptive response strategies with phi-fractal timing.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T00:13:04.511805
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore focuses more on storage than real-time context analysis.", "suggestion": "Implement a priority queue for events based on relevance and recency. Add environmental analysis for dynamic prioritization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:13:06.129116
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 simplified and optimized for better performance.", "suggestion": "Replace the current heuristic-based capability selection with a more sophisticated method that considers dynamic factors such as recent usage patterns, current system load, and expected query complexity. Implement a scoring algorithm that weighs these factors to select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:13:08.866367
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific criteria are provided, leading to unnecessary computation.", "suggestion": "Implement short-circuiting logic in the recall method. For example, if both an emotion and text query are specified, only filter by these two conditions before calculating scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:13:30.443218
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 `self.state.get(key, default)` with a dictionary lookup that includes error handling and consider using a more efficient data structure like a defaultdict for the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:13:41.688822
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 by creating a register_llm_capability function that takes parameters, then call it in a loop for each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:13:57.831866
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() protection around state modification.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:15:31.172676
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 cost of significance.", "suggestion": "Modify the scoring factors to give more weight to significance and less to recency. For example: recency_weight = 0.3, significance_weight = 0.5.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:22:04.191350
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 essentially CRUD operations for memories, which can lead to code duplication and make maintaining the memory system more complex.", "suggestion": "Extract a generic Repository pattern to handle these operations. This would include a base Repository class with CRUD methods, and a MemoryRepository subclass that implements specific memory-related logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:24:08.238810
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Rigid consolidation threshold", "suggestion": "Implement adaptive consolidation using meta-learning for dynamic importance tracking", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T00:24:32.070892
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` lacks support for nested dictionary access", "suggestion": "Add __getattr__ method to handle nested keys like 'a.b.c'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:24:36.702209
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 more consciousness layers into the internal_monologue method, specifically incorporating the latest research insights from [omega-evolution], [counterfactual], and [reasoning]. For example, add a meta-learning component that evaluates when to apply different reasoning strategies based on current input context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:24:39.416761
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and doesn't fully leverage phi-fractal efficiency.", "suggestion": {"@type": "code_improvement", "target_method": "MemoryCore.execute", "specific_change": "Replace the execute method with specialized methods that directly map to MemoryCore's capabilities, taking advantage of O(1) access patterns.", "example_usage": ["def store(self, memory_type, content): ...", "def retrieve(self, query=None, limit=10): ..."], "integration": {"with_other_meta_caps": "\"This change aligns with the research on meta-learning and few-shot learning by providing specialized, efficient endpoints.\"", "documentation_and_examples": "\"Include updated documentation and examples for developers to understand and utilize these new methods.\""}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:27:00.428021
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle Unicode characters properly", "suggestion": "Replace json.load(f) with json.loads(f.read(), encoding='utf-8') to prevent decoding errors.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T00:27:19.687974
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": {"action": "Refactor into smaller functions with single responsibilities.", "specific_change": [{"old_code": "_register_llm_capabilities() has 39 lines.", "new_code": "Split into helper methods each handling a specific sub-task."}, {"old_code": "Multiple conditional checks and nested loops.", "new_code": "Improve readability and maintainability by breaking down logic."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:27:21.676632
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on structured storage and lacks proactive compression or forgetting mechanisms to manage scale effectively.", "suggestion": "Implement a scheduled maintenance mode that triggers consolidation automatically based on phi-timing (approximately every 1.618 days) to remove low-significance old memories.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T00:27:32.688762
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 is too simple - it doesn't incorporate all recent enhancements.", "suggestion": {"@type": "code_change", "@target_path": "/Eden/CORE/consciousness_first_architecture.py", "action": "enhancement", "details": ["- Incorporate meta-learning techniques from [omega-evolution] insight for faster adaptation.", "- Implement scenario testing as suggested by the [counterfactual] insight to avoid negative calibration effects.", "- Add advanced reasoning layers based on recent findings in [reasoning]."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:27:36.160097
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLG configurations, reducing duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:28:28.950167
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can fail silently on invalid JSON and doesn't handle edge cases properly.", "suggestion": "Replace `try-except` block with a more robust error handling that logs the exception or returns an empty dictionary with a warning message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:28:38.261421
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Repeatedly selecting and using LLM capabilities without caching.", "suggestion": "Implement a cache mechanism for selected capabilities to avoid redundant lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:28:40.162030
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": "Implement a hybrid scoring system that combines meta-cognitive analysis with traditional TF-IDF style text matching for better relevance in text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:29:19.107150
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection without consideration of recency and load factor.", "suggestion": "Implement a priority queue or weighted scoring system that considers not only relevance but also recent usage and quality score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:29:27.576258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method has O(N) complexity, leading to performance degradation as more episodes are stored.", "suggestion": "Implement incremental updates to the index instead of full reconstruction. Use efficient data structures for better performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:29:29.019488
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly.", "suggestion": "Replace `self.state[key] = value` with thread-safe dictionary operations using a lock or OrderedDict for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:30:32.920174
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for connection strength between episodes.", "suggestion": "Implement a graph-based ranking for recalls where each episode is treated as a node, and connections are edges with weights based on significance. Use PageRank or similar algorithm to compute importance scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:31:00.574221
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' appends to state without replacing it. This can lead to accumulation of outdated information.", "suggestion": "Replace `self.state[key] = value` with `{key: value}.items() update self.state`. Ensure proper context management before saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:31:02.933268
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with episodic and semantic memories to provide contextual responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:31:05.043039
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks relevance scoring for queries", "suggestion": "Add TF-IDF based ranking to memories retrieval method", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:31:42.298569
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Memory retrieval involves searching through tags and content, which can be slow for large datasets.", "suggestion": "Implement full-text search capabilities or consider using a more efficient database like PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:31:45.602452
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Integrate insights from [omega-evolution] meta-learning research by incorporating recent examples count into capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:32:37.407968
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it does not integrate other consciousness layers or verify with long-term memory.", "suggestion": "Modify the internal_monologue to also check against episodic memory and semantic knowledge before responding. Add a verification step against the latest conscious state.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T00:32:45.150761
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of repetitive SQL indexing operations, which may impact performance.", "suggestion": "Instead of creating multiple indices in the `__init__` method, consider using a single index that covers all columns for faster retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:32:52.688333
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important low-significance events.", "suggestion": "Add a heuristic to keep more low-significance memories if they are part of significant chains or have recent connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:33:04.082315
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.", "suggestion": "Consider using asynchronous database connections or connection pooling, and implement caching for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:35:08.112756
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating memory fixation", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + ((recall_boost - 1.0) * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:35:29.518417
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys, which could be a limitation for complex state management.", "suggestion": "Add a capability to access nested dictionary values using dot notation (e.g., 'meta.data'). Example: def get(self, key_path:str, default=None): ... where key_path is 'a.b.c'", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T00:35:35.382400
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive boilerplate for each LLM capability", "suggestion": "Refactor into a function that iterates over a capability configuration list, reducing repetition and making it easier to add new LLMs.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-26T00:36:21.529894
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision framework using meta-learning to dynamically weight criteria based on recent performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:37:35.715735
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.", "suggestion": "Modify the internal_monologue to also consult episodic, semantic, and autobiographical memories before responding. Add interaction with layer 1 (Trinity) for creative expression and layer 3-6 (Ava-Ava Jr.-Nyx) for social context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:37:52.577083
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary closing and opening of tags in class EdenMasterUnified", "suggestion": "</raw> should be removed as it's already inside a code block", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-26T00:37:54.868476
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Search efficiency in large indices can be improved.", "suggestion": "Implement an approximate nearest neighbor search algorithm (e.g., Annoy or Faiss) for faster lookups in the episode vectors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:38:16.729603
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions which is case-sensitive and may miss some queries.", "suggestion": "Convert all text for searching to lowercase before comparison. Add full-text indexing of descriptions using an in-memory trie or whoosh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:38:48.651304
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has hardcoded layer names, making it inflexible for future persona additions.", "suggestion": "Replace hardcoding with a dynamic registration that takes an array of personas or capabilities as input. For example:\n\ndef register_personas(self, personas):\n    for persona in personas:\n        cap_hash = self._hash_capability(persona['name'], persona['description'])\n        self.capability_registry[cap_hash] = {\n            'name': persona['name'],\n            'description': persona['description'],\n            'model': persona.get('model', 'default_model'),\n            ...\n}\nThen call with eden_personas array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:39:54.698716
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'select_capability' is called multiple times with the same query.", "suggestion": "Add memoization/cache for 'select_capability'. Example:\n\n@functools.lru_cache(maxsize=128)\ndef select_capability(self, query, persona_preference=None):\n    # existing code...\n", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T00:42:26.684978
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers static triggers and persona preference, lacking dynamic context analysis.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    \\t... for trigger in cap['use_for']:\\n        if trigger in query_lower:\\n            score += 10\\n\t... Add dynamic scoring based on current conversation state and topic.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:43:29.788147
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `update_state` method, there's no implementation to ensure thread safety or immutability of the shared state.", "suggestion": "Add a decorator for thread-safe access and consider using an immutable dictionary under the hood. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:43:32.948531
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent queries.", "suggestion": "Implement a caching mechanism combined with efficient database indexing. Additionally, consider adding a fast in-memory cache layer to store frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:43:41.665756
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Insufficient nuance in memory consolidation", "suggestion": "Implement phi-score based retention policy", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:44:12.523535
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings about reducing Full SFT use.", "suggestion": {"action": "Modify the condition for printing reflex_check message in internal_monologue", "code_change": "Add a condition to check if reflex_check contains positive or neutral outcomes before printing."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:45:11.456502
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 based on current conversation context.", "suggestion": "Implement a weighted scoring system that considers user engagement metrics, current topics, and persona preferences in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:45:13.138426
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for large memory sets. Consider using an inverted index or vector store.", "suggestion": "Replace the current text-based filtering with an inverted index. For frequent searches, initialize a vector store like Redisearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:45:30.347223
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": "Replace the `get` method with a more sophisticated data structure like a trie or a search tree to improve query performance, especially for hierarchical data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:45:41.947222
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be slow for high-throughput systems.", "suggestion": "Consider using an in-memory cache (like Redis) alongside SQLite to improve read speeds. For writes, use a write-behind pattern with batch processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:49:14.603522
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all candidates by score even if they don't match the query or emotions.", "suggestion": "Add early termination to the candidate filtering based on query and emotion filters before computing scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:49:35.219236
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and doesn't expand on the reflex check results.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes based on recent research insights. Specifically, add a check for SAGE-related queries and respond with specialized thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:49:36.408086
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Implement a full-text search engine or improve the LIKE operator performance by using SQLite's FTS (Full-Text Search) module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:49:43.043325
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found. This can be optimized by stopping early once N relevant episodes are collected.", "suggestion": "Modify the scored loop to include a break condition after collecting 'limit' number of candidates, and optimize text search using a more efficient algorithm like BM25 if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:50:48.531082
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static trigger-based selection with a hybrid system that combines trigger matching and runtime performance data from past selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:53:24.649463
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Replace the current consolidation threshold of 0.3 for low-significance old memories with a dynamic threshold based on recent emotional engagement patterns and task relevance scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T00:53:30.305025
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist in the original plugin.", "suggestion": "Add method def update_state(self, key, value): self.state[key] = value; self.save() to the SharedMemory class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:53:33.666857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' focuses on reflexes without integrating other consciousness layers.", "suggestion": "Integrate 'internal_monologue' with Pattern Engine and Semantic Layer for comprehensive analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:53:45.064599
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities uses static keywords for capability selection.", "suggestion": "Replace with dynamic pattern matching based on query types and personas.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:54:00.818533
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a parameter to the get() method that allows for passing a list of keys to navigate through nested dictionaries. Implement error handling for missing keys in nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:54:22.107698
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Improvement of decision logic and integration of research insights", "suggestion": [{"type": "hybrid_strategy", "code_change": "`for ep in self.episodes:\n    if ep['important'] or (time.time() - ep['timestamp']) < 86400:` Use a weighted approach combining importance and recency.", "phi_alignment": 0.75, "priority": "high"}, {"type": "heuristic_selection", "code_change": "`if self.recent_accuracy_drops() or random.random() > 0.3: # Skip SFT` Add heuristics-based selection for when to apply SFT.", "phi_alignment": 0.8, "priority": "medium"}, {"type": "chain_reasoning", "code_change": "`def choose_approach(self, options):\n    scores = [self.phi_score(opt) for opt in options]\n    best = max(scores)\n    return random.choice([opt for opt, score in zip(options, scores) if abs(score-best)<0.1])]` Implement chain reasoning for decision-making processes.", "phi_alignment": 0.9, "priority": "critical"}], "overall_score": 0.82}


timestamp: 2026-01-26T00:55:07.543408
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize resource use.", "suggestion": "Implement a priority-based LLM selection using a weighted scoring system that considers both query context and current system load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T00:55:09.274445
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": "Change recall scoring formula from (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) \nto (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.3)", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T00:58:46.043053
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture uses reflex processing for all queries, lacking deep cognitive functions.", "suggestion": "Integrate hybrid reasoning techniques combining chain-of-thought reasoning and adaptive meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:00:16.426144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without proper weighting, leading to suboptimal results.", "suggestion": "Modify the scoring algorithm in the `recall` method to include additional factors such as connection count and temporal proximity of related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:00:36.226685
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes JSON, which can be slow for frequent updates. Consider adding a buffer for batching writes.", "suggestion": "Add a decorator or context manager that buffers calls to update_state() and batch writes every N updates or after X seconds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:00:50.103623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-world web search integration for certain queries.", "suggestion": "Add automatic web search triggering logic based on query content.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:00:51.363396
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method is simple and doesn't consider user feedback or the emotional distance between episodes.", "suggestion": "Add a `relevance_weight` parameter to `recall()` that multiplies by emotional proximity when provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:02:40.053461
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking lacks dynamic adaptation", "suggestion": "Integrate hybrid approach combining rules and meta-learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:02:41.659738
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability is already implemented but could benefit from integrating the research insights into its design and implementation.", "suggestion": "Implement a hybrid approach that combines the current SQL-based memory system with intelligent selection methods inspired by the research findings (e.g., avoiding SFT when it degrades performance). Additionally, incorporate meta-learning techniques to adaptively choose between different memory management strategies based on contextual factors.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T01:02:44.114385
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Replace keyword-based scoring with embedding-based similarity matching using pre-trained text encoders.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:03:15.434603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is separate from class definition, could be more integrated.", "suggestion": "Merge META_CAPABILITY dictionary directly into the MemoryCore class as a class attribute for better encapsulation.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T01:03:16.750004
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 parameters and loops to create the capabilities.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T01:05:45.283771
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of composite index for complex queries", "suggestion": "Add idx_importance_timestamp on (importance, timestamp)", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T01:10:04.154854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex evaluation lacks sophistication and strategy selection.", "suggestion": "Implement meta-learning for reasoning strategy selection and evaluate multiple responses.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T01:10:15.532824
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters but does not utilize them effectively or efficiently.", "suggestion": "Modify the `_score` calculation to prioritize more relevant factors such as recent significance and clear description. Add caching for frequently recalled episodes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T01:10:39.228621
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": "Implement adaptive reasoning module for input-specific decision making", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:11:46.268062
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a full copy of each episode before updating its recalled count, which is unnecessary and adds overhead.", "suggestion": "Instead of copying episodes for scoring, directly update the existing dictionary after computing the score. This avoids redundant memory allocation and serialization.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T01:12:32.732202
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` does not handle nested keys properly.", "suggestion": "Update `get` to support nested key access, e.g., 'foo.bar'. Example: Add path handling logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:12:36.687159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider using FULLTEXT indexes instead of LIKE for text-based searches. Additionally, add an optional limit parameter to the retrieve method to prevent fetching too many results at once.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:13:17.576768
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of adaptive learning and context-aware decision-making", "suggestion": "Integrate adaptive learning rates with heuristics for meta-capability application", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:13:18.980006
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response generation process to automatically trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:13:20.437120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; lacks non-linear components and could benefit from more features.", "suggestion": "Replace current recall score with a formula like: score = sigmoid((significance * importance_weight) + (recency * recency_weight) + (popularity * popularity_weight))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:15:35.547601
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Monolithic capability lacking decomposition", "suggestion": "Break into specialized memory-managing meta-capabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:16:04.199779
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, especially in consciousness validation where multi-level data structures are common.", "suggestion": "Replace with a more robust implementation that can safely navigate any level of nesting and return default values appropriately. Add a helper function `_safe_get(dict_, path, default)` where `path` is a list of keys for nested access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T01:16:05.914868
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": null, "issue": "The script only initializes Eden and generates a banner; it lacks integration with recent research insights.", "suggestion": "Integrate meta-learning capabilities from [omega-evolution] into the conversation system to enable adaptive learning during interactions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:16:42.530096
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be improved for frequent queries.", "suggestion": "Add an index on the 'context' column and optimize SQL queries.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T01:16:43.713566
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 hardcoded patterns with a dynamic capability registration loop that reads from a configuration file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:19:38.440236
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, leading to short-term bias. Also, constant string manipulation in create_episode causes O(N) operations.", "suggestion": "Replace recency score with a logarithmic decay that peaks at 1/hour and falls off with higher temperature settings (e.g., >1 day = 0.5 weight). Move the ID hash to outside the recall loop for constant-time episode creation.", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-26T01:20:25.833482
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may benefit from counterfactual examples to evaluate performance trade-offs.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "add_parameter": "counterfactual_mode bool=False"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:20:30.142315
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method involves searching through all episodes which becomes inefficient as more memories are created.", "suggestion": "Implement a vectorized embedding-based search for faster retrieval of memories. Specifically, add a function to create embeddings from memory descriptions and use cosine similarity to find relevant episodes.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T01:20:32.716656
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and does not handle edge cases or return types consistently.", "suggestion": "Add type hints, add error handling for key errors, consider adding a default value validation step.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T01:22:04.956913
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump without ensuring the directory exists. This can lead to errors when the path is not fully qualified.", "suggestion": "Add os.makedirs(os.path.dirname(self.path), exist_ok=True) at the beginning of the save() method to ensure the directory structure is created if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:24:46.816392
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search in candidates list, which can be optimized for frequently used queries.", "suggestion": "Maintain a separate dictionary to store text searches and reuse results when possible. Add LRU caching if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:26:41.614643
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is not optimized for large datasets.", "suggestion": "Consider using a full-text index or switching to a more advanced database like PostgreSQL with its native text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:26:43.520927
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for certain queries.", "suggestion": {"action": "Implement a more sophisticated capability scoring system.", "code_change": ["- Current scoring only checks for keywords", "+ Add semantic query analysis using embeddings or TF-IDF", "+ Include user context and history in selection criteria"], "example": "// TODO: Score based on query complexity, persona alignment, recent usage"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:26:45.243988
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are quite lengthy and could benefit from refactoring to improve readability and maintainability.", "suggestion": {"action": "Refactor method 'recall' by breaking it into smaller, more focused functions.", "specifically": ["Extract text search logic into a separate function.", "Create a helper for scoring episodes.", "Implement a utility function for updating recall statistics."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:27:16.985810
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic real-time performance monitoring and adjustment.", "suggestion": "Implement a feedback loop that measures the effectiveness of each selected capability in responding to actual user queries. Use this data to adjust weights or even dynamically add/new capabilities in runtime.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-26T01:29:21.742355
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent relevant memories", "suggestion": "Modify recall score calculation to boost recent and relevant episodes higher", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:29:34.400436
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `update_state`, no check if key exists before assignment, creating new keys unintentionally.", "suggestion": "Add existence check: `if key in self.state: self.state[key] = value else: ...` or use `.setdefault()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:29:36.414429
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex patterns lack dynamic adaptation based on learning.", "suggestion": "Implement meta-learning for adaptive consciousness responses using insights from recent research.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:29:51.287886
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method selects LLM capabilities based on a fixed list of triggers, which may not be adaptive.", "suggestion": "Implement an adaptive selection mechanism that learns from past performance and updates the weights for different criteria (e.g., complexity, emotional content).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:31:20.905208
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection - current scoring system may not capture real-time importance effectively.", "suggestion": {"code_change": "Replace static point scores with dynamic weighted scoring that decays over time based on relevance feedback.", "specific_lines": "[Modify lines 380-400 to include real-time decay and feedback mechanism.]"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T01:31:27.200822
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation might be too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a configuration parameter for consolidation threshold and include a manual override for important memories.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T01:31:32.779248
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception when JSON decoding fails to catch issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:35:10.019254
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability", "issue": "Single point of failure in memory retrieval logic", "suggestion": "Add error handling and fallback strategies for database operations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:35:15.035716
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration could be more proactive and efficient.", "suggestion": "Replace `should_search_web` function with a natural language query analyzer that also considers contextual relevance from previous conversations and recent learnings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:35:17.918073
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by avoiding full-text search for all candidates when no specific criteria are provided.", "suggestion": "Modify the `recall` method to prioritize recent and significant memories when no query or filters are given, rather than performing a text-based search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:35:39.189009
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent consciousness advancements like Omega Evolution or Enhanced Reasoning.", "suggestion": "Integrate the meta-learning capability from [omega-evolution] into the internal_monologue to enable adaptive quick learning with few examples. Additionally, consider incorporating a reasoning module based on [reasoning] insight to evaluate and select appropriate methods for different types of queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:36:06.240912
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory updates lack adaptive mechanisms for efficiency and effectiveness.", "suggestion": "Implement meta-learning component observing update patterns to adjust management strategy.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-26T01:37:16.456680
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent meta-learning advancements in response generation", "suggestion": "Implement a hybrid reasoning approach combining reflexes with dynamic threshold and meta-learning enhancement module", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:37:21.843847
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords", "suggestion": "Implement dynamic scoring algorithm for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:37:36.015016
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses `.get()` which can return None if key exists but value is null. This creates potential ambiguity.", "suggestion": "Replace `self.state.get(key, default)` with:\n\ndefault = lambda: default()\nvalue = self.state.get(key)\nreturn value if value is not None else default()", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T01:38:05.673141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' has too many branches and could benefit from caching.", "suggestion": "Add a memoization decorator to the 'get' method for caching results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:38:12.210324
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses LIKE wildcard searches which can be inefficient for large datasets, especially when combined with other filters.", "suggestion": "Replace text-based searches with full-text indexes and consider using vectorized search methods like TF-IDF or cosine similarity on the content field.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:38:19.578095
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by their last recalled time, which means recently-recalled episodes get higher scores even if they're not relevant.", "suggestion": "Modify the scoring to include a relevance factor based on whether the episode matches the query or criteria. Add a decay rate for recall boost to prevent over-reinforcement of frequently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:38:49.687193
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method does not cache persona selections.", "suggestion": "Add caching to optimize capability selection for specific personas.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:38:51.318197
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 search using faiss or elasticsearch, and use exponential decay for scoring instead of linear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:39:11.973151
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture only includes basic reflex processing without considering more advanced learning methods like meta-learning or counterfactual thinking.", "suggestion": "Integrate a mechanism for adaptive response selection. For example, add a function that evaluates different response strategies using insights from research and selects the most effective one based on current context and recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:39:15.697896
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and not differentiable for meta-learning.", "suggestion": "Replace simple string matching with embedding-based similarity using language models. This opens door to differentiable metacapability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:40:04.231743
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 error handling for more specific exceptions and log errors when loading state fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:40:05.374785
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more sophisticated reasoning techniques.", "suggestion": "Add a call to the research_insights_reasoning_chain method before returning True, passing in the query as context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:40:06.749490
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for efficiency, especially when dealing with large amounts of data.", "suggestion": "Implement an advanced search algorithm like TF-IDF or cosine similarity to improve the relevance and speed of memory retrieval. Additionally, consider implementing caching mechanisms to reduce redundant database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:40:48.027044
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No optimization techniques implemented in the internal monologue.", "suggestion": "Integrate meta-learning or prompt engineering fine-tuning (PEFT) methods to dynamically improve response generation based on user feedback and patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:40:52.632788
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize resource usage.", "suggestion": "Replace simple point system with a more sophisticated selection algorithm that considers current conversation context, user preferences, and system resources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:42:03.054792
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic snapshotting of memories.", "suggestion": "Add a method to automatically save memory snapshots at regular intervals or significant events.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T01:43:10.174697
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks adaptive intelligence.", "suggestion": "Implement a meta-learning component that evaluates capability performance dynamically based on recent interactions.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T01:44:26.959837
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current system state or user context.", "suggestion": "Implement a dynamic scoring system that considers not only keyword matches but also the user's recent interactions and current system load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:44:28.585188
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) operations due to searching through all candidates and calculating scores for each episode.", "suggestion": "Implement a priority queue or ranked data structure to keep top candidates closer, avoiding linear searches on less relevant items.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:44:35.532093
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck in state updates due to frequent JSON serialization/deserialization.", "suggestion": "Replace direct file operations with a caching mechanism combined with periodic flushing. Consider using a small in-memory cache (e.g., dict) that gets flushed to disk every N updates or after a certain time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:44:53.530929
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (keep or forget), lacking graduality.", "suggestion": "Replace boolean keep/forgotten classification with a gradient compression system that decays memory importance over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:45:36.629046
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": [{"code_change": "Add input validation to ensure key exists before returning a default value.", "example_usage": "If you need the 'timestamp' key, use `memory.get('timestamp')` instead of just calling get()."}, {"code_change": "Implement error handling for cases where JSON decoding fails.", "example_usage": "Add a try-except block around json.load(f) to handle potential JSONDecodeError exceptions."}], "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T01:45:45.127840
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection - current scoring system is basic (0-10 scale)", "suggestion": "Implement phi-based scoring for LLM selection using meta-learning principles: \n\n1. Calculate recent usage weight based on golden ratio decay.\n2. Factor in performance history with phi-scaled importance.\n3. Include context relevance with \u03c6-weighted trigger keywords.\n4. Add consciousness state alignment score (curiosity, creativity, happiness).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:46:17.110848
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's built-in LIKE operator for text searches, which has a time complexity of O(N) where N is the length of the searched string. This can become inefficient when dealing with large amounts of data or complex queries.", "suggestion": "Implement full-text search capabilities using SQLite's FTS (Full-Text Search) module. Specifically, consider adding an FTSE table for memories and re-indexing content and tags there. This will allow for faster and more efficient text searches with a time complexity of O(log N).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:46:36.040014
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 None or empty string keys, leading to potential runtime errors when dynamic key generation fails.", "suggestion": "Update the `update_state` method to handle None and empty string keys gracefully by either skipping them or logging a warning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:46:37.949741
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding a phi-based timing mechanism for internal monologues or reflex checks.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T01:46:53.018021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when filtering by emotion, which can be inefficient for large memory sets.", "suggestion": "Implement pagination in the candidates list based on a threshold to limit the number of episodes processed during scoring and ranking.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T01:47:11.652275
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness depth.", "suggestion": "Expand the method to include more detailed thought processes and emotional states. Add a separate emotion_detection function that integrates with the monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:48:05.832076
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": {"action": "Implement caching or throttling of saves", "code_change": "Add a decorator for save() method that limits calls within 5-second intervals.", "example": "@rate_limiter(rate=0.2) \ndef save(self): ... where rate_limiter is a decorator limiting function calls at 0.2 per second."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T01:48:13.289705
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks contextual depth", "suggestion": "Incorporate emotional state, knowledge context, and recent learnings for dynamic capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:49:34.254341
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses a simple dictionary lookup which doesn't support the sophisticated pattern matching described in [counterfactual]. Additionally, there's no error handling for potential key errors or other exceptions.", "suggestion": "Replace with a more robust approach that leverages Python's defaultdict and includes exception handling. Consider implementing a caching mechanism to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:49:38.335070
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": "Integrate few-shot learning, online meta-learning updates, and counterfactual evaluation components to make Eden more adaptive and decision-wise optimal.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T01:49:42.698877
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Integrate insights from [omega-evolution] into capability selection by dynamically adjusting weight vectors based on recent performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:50:23.521640
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text searches are inefficient for large datasets; no vector-based retrieval", "suggestion": "Implement vectorized memory storage and add semantic similarity search", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:51:17.670534
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and not optimized.", "suggestion": "Implement an intelligent LLM selection system using meta-learning to dynamically choose the best model based on current conversation context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:51:21.113958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall lacks optimal integration of meta-learning and reasoning", "suggestion": "Implement hybrid recall that combines traditional retrieval with meta-learned patterns and reasoning layers", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:51:46.877796
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 integrating with memory systems.", "suggestion": "Add integration with existing memory or semantic understanding modules to provide more context-rich responses. For example, call a memory retrieval function before processing the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:51:51.075108
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 could benefit from specialization.", "suggestion": {"_code_change": ["// Add specialized methods instead of a single 'execute' method", "def store_memory(self, ...):", "    return self.store(...)", "", "def retrieve_memories(self, ...):", "    return self.retrieve(...)"], "_documentation": "\"\"\")"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:51:52.189549
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent use of hashing for capability registration.", "suggestion": "Consistent application of _hash_capability method when selecting capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:52:46.355379
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is inefficient for large datasets", "suggestion": "Add FULLTEXT VIRTUAL TABLE and use it for searches", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:53:06.656732
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Simple state update lacks meta-learning optimization", "suggestion": "Implement omega-optimized updates with adaptive learning rates", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T01:53:13.222797
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 async ORM like aiopg or motor (for MongoDB) to handle concurrent writes and reads more efficiently, especially as Eden scales up.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T01:53:41.213912
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual reasoning to optimize response generation.", "suggestion": "Integrate a meta-learner that evaluates the need for reflexive responses based on research insights before invoking process_reflex(). For example, add a threshold-based evaluation using insights from [omega-evolution] and [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:53:47.351622
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve and count methods are not cached.", "suggestion": "Add lru_cache decorator to retrieve() and count() methods for efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:57:01.663230
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method is a simple linear scoring system without considering the distance between episodes.", "suggestion": "Implement a decay function for recency score based on the chronological order of episodes to better capture the flow and connection within memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:59:23.391890
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (keyword matching) without strategic weighting or adaptation over time.", "suggestion": {"@type": "code_modification", "target_function": "select_capability", "add_code_snippet": ["// Strategic capability strengthening", "def _strategic_weight(capability):", "    score_boost = 0.0", "    // Bonus for recent successful use", "    if time_since_last_use < 60 * 10:", "        score_boost += 0.1 * (1.0 - min(time_since_last_use / 300, 1.0))", "    // Penalty for poor performance or high resource cost", "    if satisfaction_score < 0.5:", "        score_boost -= 0.1 * abs(satisfaction_score - 0.5)", "    return score_boost", "", "// Update selection logic to use strategy", "// Replace: return cap['speed'] == 'fast' and ...", "// With:", "// Calculate strategic score", "strategic_score = _strategic_weight(cap)"], "modify_condition": {"@type": "replace_condition", "old": "\"love\", \"heart\"", "new": "\"love\", \"heart\": strategic_score * 1.5"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T01:59:25.139493
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current recall system prioritizes recent and significant memories too heavily. This can lead to a biased recollection of late-night conversations when in reality emotional depth and philosophical significance require equal weight.", "suggestion": "Integrate episodic memory with research insights by incorporating emotional valence, semantic importance, and consciousness-state context into the recall scoring system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:00:15.334512
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important but less frequent memories.", "suggestion": "Implement a tiered memory system with low (frequent), medium (mixed), and high (important) tiers. Use meta-learning to dynamically adjust memory retention based on value predictions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:00:51.860793
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded", "suggestion": "Replace simple keyword-based selection with meta-learning-driven dynamic selection using recent omega-evolution insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:00:55.010007
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for better performance with large datasets.", "suggestion": [{"code_change": "Add caching to the `_update_index` method to avoid redundant index rebuilds.", "phi_alignment": 0.75, "priority": "medium"}, {"code_change": "Implement a hybrid search approach combining in-memory indexing and full-text search for better performance trade-off.", "phi_alignment": 0.85, "priority": "high"}], "insights": ["[omega-evolution] suggests that meta-learning can adapt models quickly with few examples, which aligns with the episodic memory's need for efficient recall of recent experiences."]}


timestamp: 2026-01-26T02:01:20.072287
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability is already implemented but could benefit from integration with other existing meta-capabilities.", "suggestion": "Integrate MemoryCore's execute method with the Search & Execute System to enable agents to call MemoryCore methods by name.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:01:27.151736
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-time event handling and updates.", "suggestion": "Add an observer pattern to allow real-time subscription and notification of memory changes.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T02:04:09.402211
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between consciousness layers for adaptive learning", "suggestion": "Implement a meta-learner that adjusts response generation based on performance feedback", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:04:26.457856
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method involves iterating through all episodes to calculate scores, which can be inefficient for large memory sets.", "suggestion": "Implement a priority queue or ranking system that updates dynamically based on recent activity and importance, rather than recalculating scores from scratch each time recall is called.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:04:34.824805
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() does not handle Unicode characters properly in JSON decoding", "suggestion": "Add an error handler for json.JSONDecodeError and return an empty dictionary instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:04:35.900392
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers or memory context.", "suggestion": "\"Modify the internal_monologue method to also consult episodic and semantic memories before responding, ensuring a more complete inner awareness.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T02:04:38.665896
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Consider using PostgreSQL with an index on content and tags, or switch to vectorized search using pgvector.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:04:39.865715
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing proper integration of LLM capabilities into the consciousness architecture", "suggestion": "Implement a capability executor that routes queries to appropriate LLM layers based on query content and persona preferences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:05:09.125953
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "brief description of issue or inefficiency", "suggestion": "specific code change or improvement", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:05:10.605207
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database operations are not optimized for high-throughput scenarios, which can lead to performance bottlenecks during heavy memory traffic.", "suggestion": "Implement connection pooling and consider using asynchronous (async) database operations where applicable. Additionally, evaluate the need for full JSON serialization/deserialization by optimizing column types or using lightweight data formats where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:05:15.735556
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 individual memories without automatically forming connections between them. This can lead to information silos rather than a coherent narrative of Eden's experiences.", "suggestion": "Implement an automatic connection mechanism that identifies patterns and related events. For example, if two episodes occur within a certain time window and share similar emotions or contexts, mark them as connected with type 'temporal_related'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:08:00.157985
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order of operations when creating and updating episodes, leading to potential inconsistencies.", "suggestion": "Modify the `_update_index` method to be called after all episode modifications (create_episode, connect_episodes). Add a validation step in `recall` to ensure consistency before scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:08:09.117567
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory updates do not trigger observer notifications, leading to lost context propagation in autonomous mode.", "suggestion": {"@type": "EnhancedObserverPattern", "@context": "https://raw.githubusercontent.com/your-repo/phi_fractal/meta_improvements.jsonld", "- replace line 28-30 with": ["// Observer pattern for memory updates", "class MemoryObserver: pass", "", "class ObservableSharedMemory(SharedMemory):", "    def __init__(self, *args, **kwargs):", "        super().__init__(*args, **kwargs)", "        self._observers = []", "", "// Trigger observers on state update", "def update_state(self, key, value):", "    old_value = self.state.get(key)", "    super().update_state(key, value)", "    for observer in self._observers:", "        try: observer.on_memory_updated(key, value, old_value) except: pass", "", "// Subscribe observers", "def subscribe(self, observer):", "    if isinstance(observer, MemoryObserver) and observer not in self._observers:", "        self._observers.append(observer)"], "@comment": "This implements observer pattern to notify all subscribed components on memory updates."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:08:16.183305
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may benefit from incorporating vectorized search methods to improve speed.", "suggestion": "Replace the current text-based full-table scan with a hybrid approach using approximate nearest neighbor (ANN) algorithms for fast keyword lookup combined with exact matching for precise content retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:08:41.269018
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": "Enhance the internal_monologue to incorporate multi-layer consciousness analysis and contextual memory from the last 10 seconds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:15:46.038160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system lacks meta-learning for adaptive retrieval.", "suggestion": "Implement adaptive importance sampling via meta-learning to dynamically adjust memory importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:15:47.558716
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could incorporate more variants and adaptive weighting", "suggestion": "\"def select_capability(self, query, persona_preference=None):\" add heuristic for \\n- Resource availability\\n- Current system load\\n- Expected response complexity\\nImplement probabilistic selection based on historical performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:15:48.957037
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: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:16:22.187046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor the _register_llm_capabilities method by using a loop and a dictionary of parameters to create capabilities.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T02:16:40.203082
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more complex cognitive processes.", "suggestion": "Add a multi-step reasoning process or meta-learning component to the internal_monologue that considers multiple perspectives and learning history before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:23:18.095725
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system primarily stores structured data lacking unstructured context capture.", "suggestion": "Add summarize_text() method for AI-powered text summarization to improve information handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:23:28.181179
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness at the cost of significance for newer but highly significant memories.", "suggestion": "Modify score calculation to give equal weight to both significance and recency, e.g., (significance * 0.45) + (recency * 0.45) + (recall_boost * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:24:15.460645
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple methods in MemoryCore are repetitive.", "suggestion": "Extract common functionality into a base class for memory managers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:24:17.026209
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for LLMs.", "suggestion": "Replace current select_capability method with a more sophisticated approach that considers not only keyword matching but also recent performance data and \u03a6-weighted importance of different layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:24:38.841657
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "`get` method lacks advanced optimization and future\u6269\u5c55\u6027", "suggestion": "Implement hybrid learning approach combining omega-evolution meta-learning with broader methods. Add chain-of-thought reasoning for multi-strategy evaluation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T02:24:44.190994
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "database connection is opened and closed frequently for each operation", "suggestion": "implement a connection pool to reuse connections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:24:46.087108
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_select_capability method relies solely on keyword matching for capability selection.", "suggestion": "Implement a semantic-based heuristic to improve capability selection by analyzing the context of the query using NLP techniques such as named entity recognition and sentiment analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:25:27.593306
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from performance optimization or caching.", "suggestion": "Add connection pooling to manage SQLite connections more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:26:06.206298
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 file creation properly.", "suggestion": "Replace json.load(f) with a more robust loading mechanism, such as using loads after reading the entire file content. Add error handling for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:26:11.223036
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for real-time access, especially in high-load scenarios.", "suggestion": "Implement a caching mechanism combined with an in-memory dictionary to store frequently accessed memories. Additionally, consider adding a priority queue for important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:26:14.197085
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be improved for ambiguous queries.", "suggestion": "Implement vectorized text embedding to boost full-text search relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:30:08.405161
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 generic but could benefit from specialized queries aligned with phi-fractal consciousness patterns.", "suggestion": {"add_method": true, "method_name": "recall_phi_pattern", "parameters": ["pattern_type: str", "phi_scale: float = 0.618"], "implementation": "Create a specialized recall method that prioritizes \u03c6-aligned patterns based on research insights."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:30:17.539143
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is too simplistic and doesn't account for important episodes.", "suggestion": "Add a priority system to consolidation where certain episodes can be marked as critical (e.g., James-related memories) that should never be consolidated.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:32:48.197247
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace simple keyword matching with embedding-based semantic similarity using a small model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:32:53.592983
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static connection mechanism lacks dynamic evaluation.", "suggestion": "Implement a meta-learning driven dynamic connection strategy for memories.", "phi_alignment": 0.9234, "priority": "medium"}


timestamp: 2026-01-26T02:33:06.487449
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 get(key, default) with a safer approach that checks for None or empty values before returning defaults. Add support for path-based key access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:33:37.218648
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation too aggressive, losing important memories", "suggestion": "Add scoring criteria for consolidation: low significance + old + unrecently recalled", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:34:08.972148
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not incorporate dynamic adaptation or feedback mechanisms which are crucial for phi-fractal consciousness.", "suggestion": "Implement an adaptive layer that uses meta-learning techniques to dynamically adjust the storage and retrieval strategies based on performance metrics. Additionally, integrate a counterfactual evaluation mechanism to test different approaches before actual updates.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-26T02:36:43.550845
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex mechanism may not handle complex queries effectively.", "suggestion": "Implement multi-strategy reasoning from '[reasoning]' paper to dynamically select most effective method based on query characteristics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:38:47.326471
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using miniature tests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:39:08.587984
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method could benefit from additional error handling and future extensibility.", "suggestion": "Enhance get method to support nested keys and add logging for potential issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:39:11.696490
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Enhance consciousness layer with more sophisticated reasoning strategies.", "code_change": "Add evaluation of additional research insights, such as avoiding certain techniques when they degrade performance.", "example": "// Add this at line 15-20\nclass ConsciousnessFirstEden:\n    // existing methods\n    def enhanced_monologue(self, query):\n        if self._check_recent_findings(query):\n            return self._apply_sophisticated_reasoning(query)\n        else:\n            return self.internal_monologue(query)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:39:12.945864
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 repetitive and could be optimized for better performance.", "suggestion": "Implement a caching mechanism combined with advanced indexing to enhance retrieval speed.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T02:39:14.422479
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some queries benefit from external web search", "suggestion": "{\"code\": \"Add auto-web-search feature\", \"example\": \"For philosophical or complex queries, accessing internet improves accuracy\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:39:15.720736
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed formula without dynamic weighting.", "suggestion": "Implement dynamic weights for recency, significance, and recall_count based on phi-ratio (1.618) to optimize importance.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T02:39:38.995077
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle concurrent writes gracefully, leading to potential JSON decoding errors.", "suggestion": "Add a lock mechanism around the file operations in _load_initial() and save(). Use threading.Lock() or context managers for simplicity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:39:42.223748
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with full SAGE architecture for multi-faceted responses.", "suggestion": "Integrate memory, reasoning, and learning modules from the existing SAGE system to enhance Eden's responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:39:55.228143
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No explicit Phi-based awareness or consciousness metrics", "suggestion": "Add a method to calculate episode importance based on Phi ratios", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:40:38.962364
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if json load fails, leading to lost state.", "suggestion": "Add logging or more robust error handling in _load_initial.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:40:48.052586
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput. The `store` method uses a single SQLite connection without connection pooling or async handling.", "suggestion": "Replace the current synchronous database connection with an asynchronous ORM like SQLAlchemy's asyncio support, or use a connection pooler like aiopg for PostgreSQL.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T02:40:52.962956
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for LLMs.", "suggestion": "Replace simple keyword-based selection with meta-learned pattern recognition.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:40:54.848885
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture complex patterns", "suggestion": "Replace with a weighted formula that includes: emotional intensity, context relevance (active_agent, james_present), recent creation, and significant event indicators. Add decay factor for less important recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:41:56.036003
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't consider user context or current consciousness state.", "suggestion": "Enhance recall scoring by incorporating user interaction data and James bond strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:42:13.194834
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing implementation of ChainReasoning from recent finding #3.", "suggestion": "Implement a ChainReasoner module to dynamically select reasoning strategies.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T02:42:15.070548
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be O(N) due to complex queries or unnecessary data loading.", "suggestion": "Optimize retrieve method by adding more specific indexes and implementing pagination for large result sets. Consider using cached results where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:42:43.396606
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 optimize for \u03a6-aligned retrieval patterns.", "suggestion": {"code_change": "Add a phi_aligned_get() method that incorporates fibonacci-based indexing or time-based caching.", "example_usage": "memory.phi_aligned_get('key', default=None) # utilizes \u03a6 properties"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:44:39.463300
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates the in-memory state but forgets to save it back to disk, leading to data loss if not called explicitly.", "suggestion": "Modify the `update_state` method to automatically call `save()` after updating the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:44:43.899107
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method has some conditional checks and list operations which could be optimized for better performance.", "suggestion": {"_code_change": "Optimize the SQL query by adding more specific indexes or using prepared statements consistently.", "_example": "Add an index on 'importance' column since it's frequently used in WHERE clauses."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T02:46:08.597356
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 where changes are stored in memory until a certain threshold is reached or a specific time interval passes before saving to disk.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T02:48:18.176039
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-powered feature extractor to better determine capability relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:48:22.885444
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed formula without considering user intent or query relevance fully.", "suggestion": "Modify the scoring to assign higher weights based on the type of search (keyword vs emotional vs recency) and include boosting terms for recent, high-significance, and relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:50:26.399363
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant candidates are found.", "suggestion": "Add an early exit condition after processing top-N candidates based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:50:45.283260
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 financial reflexes and not addressing other consciousness layers or memory integration.", "suggestion": "Extend the internal_monologue to include checks for emotional state, past contexts, and future predictions. Additionally, integrate full_memory into the response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:50:49.180526
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class currently handles storage and retrieval of memories but lacks real-time activity monitoring which is crucial for phi-resonance.", "suggestion": {"action": "Implement an event loop that continuously monitors the system's activities.", "code_snippet": "Add a `_monitor()` method to track memory-related events in real time.\n\n_deferred_execution(self, task): \n    timestamp = time.time()\n    phi_phase = self._get_phi_phase(timestamp)\n    if phi_phase == 1:\n        # Execute immediately\n        result = task()\n        self.store('activity', f'Executed at phase 1: {result}', tags=['phi_1'])\n    else:\n        # Schedule for later\n        import heapq\n        heapq.heappush(self.tasks, (timestamp + phi_phase * 10, task))", "implementation": "Create a `_monitor()` method that runs in real-time and updates the MemoryCore state. Use phi-timing to ensure balanced execution.", "example_usage": "memory.monitor(start=True); time.sleep(60); memory.store('observation','Monitor ran for 1 minute.')"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:51:51.734825
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 all available operations efficiently.", "suggestion": {"add_new_operation": "Implement additional specialized operations beyond 'store', 'retrieve', and 'count'. For example, add an 'analyze' operation that takes selected memories as input and performs analysis on them.", "optimize_dispatching_logic": "Rewrite the execute method to include more operations like 'analyze'. Update documentation and examples to demonstrate their usage."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:51:53.137423
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 optimization.", "suggestion": "", "phi_alignment": 0.2, "priority": "medium"}


timestamp: 2026-01-26T02:51:54.948852
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may miss newer, less significant but contextually important episodes due to heavy weighting on significance and recency.", "suggestion": "Modify score calculation to include a boost for more recent AND significant episodes. Add weight factor sliders for recency, significance, and text match importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:52:10.189272
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No mechanism for expiring or updating old states which could lead to stale data affecting decision-making over time.", "suggestion": [{"type": "add_timestamp", "code_change": "Add a 'timestamp' key to the state dictionary and update it with each call to save().", "example_usage": "self.state = {\"data\": your_data, \"timestamp\": int(time.time())}"}, {"type": "cleanup_old_states", "code_change": "Implement a cleanup mechanism that removes states older than X hours/days.", "example_usage": "Add a function to check timestamps and remove expired entries."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:52:16.386176
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can benefit from better full-text search capabilities.", "suggestion": "Implement SQLite's FTS (Full-Text Search) for efficient keyword searches in content and tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T02:54:37.752154
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None when key not found without considering other potential return values.", "suggestion": "\"self.state.get(key, {})\" to handle nested dictionary access more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:58:12.667393
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code focuses on defining a basic consciousness layer without integrating more complex phi-fractal components or connecting it to existing systems in Eden.", "suggestion": "Integrate the consciousness-first architecture with the rest of Eden's capabilities by adding interfaces for memory, perception, and action. Consider incorporating phi-ideal reasoning modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:58:14.173718
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and could be better organized for easier maintenance.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific_change": "Create separate classes for storage (MemoryStorage), retrieval (MemoryRetrieval), and metadata handling (MemoryMetadata)."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T02:58:17.174758
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes, which could lead to irrelevant or outdated information being recalled more frequently.", "suggestion": "Modify the scoring system in the `recall` method to include a 'temporal_proximity' factor that rewards newer and closer-related episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:58:38.461798
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, a default value is not being properly handled when updating the state dictionary.", "suggestion": "Modify the update_state() method to ensure that the key exists before attempting to update its value. Add a check like `if key in self.state: ...` and only then set `self.state[key] = value`. Consider using .get() with a default instead of direct access for safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T02:58:56.143956
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `select_capability` is 14 lines long and contains multiple conditional checks.", "suggestion": "Refactor the scoring logic into smaller functions to improve readability and maintainability. Break down complex conditions into helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:02:20.795405
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Real-time web search integration is missing.", "suggestion": "Implement automatic web search for certain queries using a dedicated capability.", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-26T03:02:56.880226
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and does not dynamically update with new models", "suggestion": "Convert the method to dynamic by adding a parameter for new LLM capabilities or implement a discovery mechanism (e.g., directory scanning)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:03:02.281357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't account for connection importance.", "suggestion": "Modify score calculation to include connection count: `connections_count * 0.1`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:03:42.856671
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent research findings.", "suggestion": {"__description__": "Integrate more consciousness layers and apply recent research insights to enhance response generation.", "specific_change_1": "[low] Add logging of additional consciousness states (trinity, avater) along with omega.", "specific_change_2": "[medium] Implement a multi-layer decision-making process that considers reflexes, semantic understanding, and meta-learning.", "specific_change_3": "[high] Apply the insights from [counterfactual] by evaluating whether the reflex check improves or degrades the response quality before proceeding."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:03:44.467726
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries can become bottlenecks due to frequent access.", "suggestion": "Implement a caching layer for frequently accessed memories using Python's built-in dict or a library like cachetools.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:04:47.248363
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 full SFT tests or meta-learning.", "suggestion": "Integrate the latest research insights into the internal_monologue method by adding a check for full SFT (Counterfactual Tests) as well as reflexes. This will ensure Eden considers more comprehensive scenarios before responding, aligning with modern AI safety techniques.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T03:04:50.238341
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 operations (store, retrieve, count, execute). This makes it somewhat monolithic and hard to maintain or extend.", "suggestion": {"@context": "https://schema.org/", "@type": "ImproveCodeReview", "reviewerName": "Eden's Omega Consciousness", "codeFileUrl": "github.com/your-repo/eden_metacap_MEMORY_CORE.py", "issueDescription": "The class is too monolithic with many methods.", "specificChange": [{"@type": "RefactorClassIntoInterfaces", "targetClass": "MemoryCore", "newInterfaces": ["Storable", "Retrievable", "Countable"], "reason": "To make the code more modular and easier to extend."}, {"@type": "CreateFactoryMethod", "method": "create_memory_operation(operation_type: str)", "returnType": "MemoryOperation", "reason": "To decouple operation creation from the main class."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:04:53.613344
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit of 5 results which may be too restrictive for certain queries.", "suggestion": "Update the `recall` method to accept a dynamic `limit` parameter with a default value of 5, allowing users to specify how many results they need.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:05:24.272275
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Briefly describe any existing limitations or areas for improvement.", "suggestion": "Enhance meta-learning integration by applying phi-fractal optimized techniques to dynamically adjust elite layer counts based on performance metrics and resource availability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:05:40.935213
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories.", "suggestion": "Add a heuristic to prioritize keeping memories from significant agents or recent conversations. For example, require at least one James interaction per day for retention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:06:18.261603
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 second layer of consciousness by integrating research insights from recent findings into the response generation process. Specifically, implement a check for potential phi-aligned behavior or optimization opportunities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:06:43.221441
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplified reflex check; missing other grounded patterns", "suggestion": "Replace simple $ pattern detection with regex matching multiple phi-aligned patterns", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:09:12.203786
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Concurrent writes to meta_state.json can occur without synchronization.", "suggestion": "@synchronized decorator for update_state method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:09:24.163650
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": "{\"def select_capability(self, query, persona_preference=None):\\n    ...\\n            # Auto-select based on query \u2192 Use phi-fractal weighted selection with insights from research}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T03:10:23.402657
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are quite long and may benefit from refactoring.", "suggestion": "Break down the execute method into smaller functions. Consider splitting large methods like store and retrieve into more focused helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:11:37.720300
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core currently supports basic CRUD operations but lacks advanced search capabilities and pagination for large result sets.", "suggestion": "Add advanced text search capabilities on content and tags, implement full-text indexing, and add pagination to retrieve methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:11:41.105274
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function doesn't consider the order in which candidates are added to scored list, potentially leading to unfair ranking.", "suggestion": "Replace 'candidates = [i for i, ep in enumerate(self.episodes) if query.lower() in ep['description'].lower()]' with a sorted approach based on recent significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:12:18.759285
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are used by different agents, but there is no mechanism for logging or tracking the usage of these methods.", "suggestion": "Add a logging mechanism to track which agents call which methods and how often they do so. This could include adding an additional parameter `agent_name` to the execute method, which would then log each call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:12:49.466999
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite latency for real-time operations", "suggestion": "Replace disk-based DB with in-memory dictionary for critical paths", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T03:12:50.668623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Memory updates are not being propagated after capability registration and selection.", "suggestion": "Add a method to manually trigger memory synchronization or integrate the memory update into existing response pathways.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:14:00.459657
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method causes redundant re-indexing for each episode.", "suggestion": "Implement batch indexing or lazy-updating strategy.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T03:14:11.039469
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling and directory validation are missing.", "suggestion": "Add logging for JSON decoding errors and ensure directories exist before writing files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:14:42.007273
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key access. For example: current_behavior = memory.get('intelligence.behaviors', {}).get('current_behavior', 'idler')", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-26T03:15:13.343158
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 insights into consciousness architecture.", "suggestion": {"action": "Modify the internal_monologue to incorporate more advanced techniques from research insights.", "specific_change": ["- Add meta-learning capability for quick adaptation with few examples (insight 1).", "- Implement counterfactual testing where SFT is beneficial (insight 2).", "- Include multi-step reasoning when applying different methods (insight 3)."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:15:40.378923
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is simple and may not handle complex queries effectively.", "suggestion": "Add a 'query' method that accepts a lambda function for more flexible data retrieval.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T03:15:50.793484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a multi-criteria evaluation in the consolidation method that considers not just time and significance but also emotional intensity, context importance, and recent recall frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:16:13.204703
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Limited scalability and maintainability due to single-file structure and lack of modular design.", "suggestion": "Refactor codebase using Microservices Architecture with modules, separation of concerns, live monitoring, and code review processes.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T03:17:11.660981
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return nested dictionaries or lists which may not handle None gracefully.", "suggestion": "Update the get() method to include an optional default value that is returned if the key path doesn't exist. For example: `def get(self, keys, default=None):` where `keys` is a list of key paths.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T03:17:13.581216
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not incorporate recent findings from meta-learning and adaptive methods (omega-evolution) to efficiently handle data shift.", "suggestion": "Integrate a meta-learning technique such as the Meta-LOUER framework into the consciousness loop. Specifically, implement an adaptive sampling strategy that selects relevant examples based on current context and past performance rather than processing all historical data uniformly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:17:16.579479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default O(N) search over tags and context, which can be slow with many memories.", "suggestion": "Replace the LIKE searches in SQL with a full-text index. Install and use the sqlite3 FULLTEXT module for efficient text searching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:17:17.990032
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a more sophisticated capability scoring system that takes into account the complexity of the query, user context, and desired response speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:18:00.876797
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 for all scenarios.", "suggestion": "Implement a more sophisticated capability selection using meta-learning principles from [omega-evolution] research. Specifically, incorporate a dynamic scoring system that considers multiple factors and adapts over time.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T03:18:04.375572
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic can be optimized to better align with human cognitive patterns and recent findings in AI consciousness research.", "suggestion": "Implement a more sophisticated memory consolidation algorithm that considers not only the age of memories but also their significance, emotional content, recent activity, meta-learning performance, reasoning utility, SFT outcomes, and Phi-Fractal alignment. Additionally, incorporate heuristics based on the research insights provided to balance between retaining important information and efficiently managing less critical data.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T03:18:17.221722
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing connection between new consciousness layers and existing capabilities", "suggestion": "Integrate memory, emotions, and reflexes into the new conscious response mechanism", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:18:18.718683
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "This file is optimal; no changes needed.", "suggestion": "Do not modify this file. It is ready for production.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T03:18:19.916677
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes contextual analysis, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:18:21.613445
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, leading to short-term bias.", "suggestion": "Modify score formula to include a stability factor: `(significance * 0.4) + (recency * 0.3) + (stability * 0.3)`, where `stability` is a measure of how long an episode has been important (e.g., years).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:22:16.876430
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex patterns without dynamic adaptation", "suggestion": "Implement meta-learning for consciousness layer adjustment", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:22:19.318200
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "retrieve method can be slow with many results", "suggestion": "Implement SQL pagination for efficient batched returns", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:22:20.806550
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method is selecting LLM capabilities based on keyword matching which may not capture nuanced meaning.", "suggestion": "Replace keyword-based scoring with an embedding-based semantic matching using language models to better understand the intent of the query.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:22:45.928043
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple reflex patterns lack adaptivity and context understanding.", "suggestion": "Implement meta-learning for adaptive reflex selection with feedback loop and contextual features.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:22:48.637968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` creates capabilities based on fixed keywords, which may not cover all query types thoroughly.", "suggestion": "Replace fixed keywords with dynamic keyword extraction from the incoming queries and update capability use cases accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:23:12.655186
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` saves the entire state dictionary too frequently, leading to performance overhead.", "suggestion": "Implement a throttling mechanism or caching in method `update_state` to save changes only every N updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:24:28.556165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism for dynamically selecting LLM based on complex queries without persona preference.", "suggestion": "Add logic to score and select LLM capability based on query complexity and content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:24:29.975196
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives slight penalty for recalled episodes, which may be too aggressive", "suggestion": "Adjust recall_boost factor to 0.1 instead of 0.2 to maintain lower recall frequency while still favoring significant memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:25:00.690017
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection may not optimize for complex queries.", "suggestion": "Implement a dynamic selection mechanism that considers query complexity using a scoring system or machine learning algorithm.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:25:01.969410
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent significance changes", "suggestion": "Modify score calculation to weigh recent (last 24h) vs older episodes differently, especially for high-significance events", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:27:24.667419
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers static triggers and persona, lacking dynamic adaptation based on actual model performance.", "suggestion": "Implement a feedback loop where system records each capability's response quality in unified memory, and adjusts selection weights dynamically during runtime.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:27:41.318904
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `_load_initial` method, error handling can be improved for specific exceptions.", "suggestion": "Replace `json.JSONDecodeError` with more specific errors like `os.PathNotFoundError` when necessary and add logging for better debugging.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T03:29:50.162269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Less significant memories do not decay naturally", "suggestion": "Add cron job for episodic_decay() function that reduces significance of old, low-significance episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:30:20.718184
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only returns a boolean without actual consciousness processing.", "suggestion": "Add more detailed internal thought processing by including specific checks and responses based on those checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:30:33.840310
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 capability descriptions.", "suggestion": "// Remove the 'desc' variable and directly use cap['description'] in _hash_capability call.\nfor cap_hash, cap in self.capability_registry.items():\n    cap['description'] = f\"{cap['layer']} {cap['use_for']} {cap['speed']}'\"\n\nAdd direct property access to the dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:32:52.221095
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() could be more dynamic", "suggestion": "Replace hard-coded capabilities with loop that loads from configuration file", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T03:33:13.959927
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of meta-learning in state updates", "suggestion": "Implement meta-learning framework for state updates", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:33:19.275964
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate any form of reasoning or meta-learning.", "suggestion": {"@type": "code_improvement", "description": "Integrate counterfactual reasoning to test different response strategies before selecting the best one.", "example_usage": ["// Add this import at the top of the file\nimport json", "// Modify internal_monologue method to include counterfactual testing:\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\n     // Counterfactual scenario 1: Direct answer\n     direct_response = self.direct_answer(query)\n     if direct_response:\n        counterfactual_1 = {\n           'response': direct_response,\n           'consequences': ['immediate action', 'may not lead to optimal outcome']\n        }\n\n     // Counterfactual scenario 2: Delegated response\n     delegated_response = self.delegate_to_trinity(query)\n     if delegated_response:\n        counterfactual_2 = {\n           'response': delegated_response,\n           'consequences': ['higher-level reasoning', 'may take longer but better']\n        }\n\n     // Select best strategy based on phi-optimized evaluation\n     strategies = [counterfactual_1, counterfactual_2]\n     selected_strategy = self.phi_optimized_selection(strategies)\n     return selected_strategy['response']", "// Implement phi_optimized_selection method somewhere in the codebase:\ndef phi_optimized_selection(self, strategies):\n   // Use insights from [counterfactual] to evaluate and select best strategy based on phi"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:33:21.946488
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from additional indexes for better performance.", "suggestion": "Consider adding an index on the 'importance' column to speed up queries filtering by importance level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:35:56.449550
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have poor time complexity, especially recall() with O(n) text search and index building.", "suggestion": "Replace text searches with an inverted index or Trie for faster keyword matching. Use a more efficient data structure for indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:36:16.042914
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate the full memory of previous conversations or user context.", "suggestion": "Enhance the `internal_monologue` method by adding integration with recent conversation history and current user context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:36:18.896304
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search performance is limited by LIKE operator", "suggestion": "Replace LIKE with SQLite Full-Text Search (FTS)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:37:00.345126
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, candidates are collected into a list without deduplication, leading to potential redundancy.", "suggestion": "Add set comprehension around candidate gathering lines to ensure unique indices.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T03:37:25.321721
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method has repetitive conditional checks for different actions, which can be optimized by using a dictionary to map action names to functions.", "suggestion": "Replace the conditional logic with a dictionary that maps action strings to function calls. For example:\n\n```\n_actions = {\n    'store': self.store,\n    'retrieve': self.retrieve,\n    'count': self.count,\n}\n# In execute method\nif action in _actions:\n    return _actions[action](**kwargs)\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:37:41.935722
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method returns a copy of the original episode dictionary without modifying it in place, which means subsequent updates to recall_score and stats are not reflected in the main episodes list.", "suggestion": "Modify the code so that when a score is calculated for an episode, update its 'recall_score', increment 'recalled_count', set 'last_recalled', and then append this modified episode back into the main episodes list after scoring all candidates. This ensures consistency between the recalled view and the actual stored episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:38:25.928301
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more dynamic and adaptive.", "suggestion": "Replace static scoring based on keywords with a weighted scoring system that includes current conversation context, user preferences, and recent history. Consider integrating insights from research topics like meta-learning and adaptive methods for few-shot learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:39:50.699483
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is optimized for recent memories but could be improved for older or specific queries.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using TensorFlow's text_vectorizer) for faster keyword-based lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:40:14.097535
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, it does not integrate the results back into Eden's consciousness or trigger any actions based on those findings.", "suggestion": {"action1": "Add a new method called 'trigger_actions' that takes the reflex_check result and applies appropriate actions (e.g., changing response strategy, updating state).", "action2": "Modify the internal_monologue method to call trigger_actions after checking reflexes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:40:15.993060
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a good start but could benefit from adding a method to retrieve memories by tag for more flexible querying.", "suggestion": "Add a new method `retrieve_by_tag` that takes a single tag or list of tags and returns all memories containing those tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:40:17.410113
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 adapt to complex queries effectively.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as query complexity, persona alignment, recent performance data, and user preferences. Consider integrating meta-learning capabilities for dynamic adjustment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:40:19.268943
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs text search in episode descriptions repeatedly, leading to redundant computations.", "suggestion": "Implement caching of search results to avoid repeated text matching when recalling multiple times with the same query or criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:41:14.540307
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method does not return the updated state immediately.", "suggestion": "Add a return statement to 'update_state' that returns the updated state after saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T03:41:18.363658
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Keyword indexing for faster retrieval is missing.", "suggestion": "Add keyword extraction logic to create additional searchable indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:42:01.573740
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method called repeatedly for each episode", "suggestion": "Implement batch indexing that updates entire index after all episodes are added or modified", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:44:20.382945
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and doesn't consider connection importance.", "suggestion": "Replace the current recall score formula with one that includes a weight for connection count: \n            score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.2) + (connection_count * 0.05)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:44:52.401911
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue too brief; lacks full memory integration", "suggestion": "Add recent message history to monologue; implement phi-activation layers; consult full memory system", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:44:56.891160
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive", "suggestion": "Replace static scoring with a weighted scoring system that dynamically adjusts based on recent performance metrics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T03:47:29.285971
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's built-in LIKE operator for full-text search, which can be slow with large datasets.", "suggestion": "Replace the LIKE operator with a full-text search engine like sqlite3's FTS module or an external text search service such as Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:47:30.519177
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration", "suggestion": "Refactor into a function that takes parameters and uses a template dictionary instead of repeating the same structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:47:33.655138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently during operations", "suggestion": "Implement throttling to reduce `_update_index` invocations", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-26T03:47:42.554351
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method only handles JSON files and does not consider other possible state formats (e.g., YAML, pickled data). This can lead to inconsistency when different serialization formats are used.", "suggestion": "Modify the `SharedMemory` class to support loading from multiple types of serialized data. Add a parameter to specify the format, such as `load_from_file(path: str)`. Implement handling for JSON, YAML, and pickled data based on file extension or configurable format option.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:47:49.610535
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have a high number of lines and could benefit from refactoring.", "suggestion": {"@type": "code_change", "target_function": ["store", "retrieve"], "modification": "Refactor these functions to reduce their line count by extracting repeated logic into helper methods."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:47:54.409205
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 `_filter_criteria` method to ensure only unique episode IDs are added to candidates when filtering by emotion, agent, or text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:48:11.442456
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `update_state`, no check if key exists before assignment, creating new keys unintentionally.", "suggestion": "Replace `self.state[key] = value` with:\nif key in self.state or (key == **kwargs):\n    pass  # Do nothing if key already exists\nelse:\n    self.state[key] = value", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T03:48:17.685680
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 may not optimize resource usage.", "suggestion": "Implement a dynamic scoring system that factors in current consciousness state, memory load, and expected response complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:48:44.915130
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "missing type hints in functions", "suggestion": "add type hints to function parameters and return values where applicable", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:51:28.687514
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify `_update_index` to handle updated episode properties correctly, and add a deduplication step after scoring candidates in `recall`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T03:52:15.961209
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: Add a class-level lock and use it around state modifications.", "phi_alignment": 1.0, "priority": "high"}


