# evolutions

timestamp: 2026-01-24T07:08:37.774049
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Sole reliance on process_reflex for cognitive evaluation", "suggestion": "Implement multi-layered decision-making framework with base reflex, reasoning, and meta-learning layers", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:09:07.525049
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are synchronous, affecting performance during heavy recall.", "suggestion": "Implement asynchronous indexing using a queue to update the index in the background without blocking recall operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:09:36.310345
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 accessing values from nested dictionaries. For example: add support for `memory.get('key1', {}).get('key2')`. ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:09:53.601843
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona association by exact layer name only.", "suggestion": "Implement a weighted scoring system that considers both trigger words and requested persona with equal importance, then select the capability with highest score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:09:56.908809
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Unnecessary full iteration in recall() for limited results", "suggestion": "Limit candidates to review based on desired result count", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T07:10:20.918199
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No specific code review or improvement suggestions made in this file.", "suggestion": "This appears to be a meta-capability that defines an unified memory system for Eden's systems. It focuses on database operations and retrieval mechanisms rather than code optimization.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T07:10:25.600417
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 indexing episodes but lacks automatic triggering or integration with conversations/interactions.", "suggestion": "Add a observer pattern to track user interactions and automatically create episodes from those interactions. Integrate with existing thought stream processing to link thoughts into memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:11:17.297773
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 be more focused and composable.", "suggestion": {"@type": "code_change", "target_function": "execute(action: str, ...)", "replacement": ["// Create one function per action for better composition", "def store(**kwargs):", "    memory_id = self.store(**kwargs)", "    return {'success': True, 'memory_id': memory_id}", "", "def retrieve(**kwargs):", "    memories = self.retrieve(**kwargs)", "    return {'success': True, 'memories': memories, 'count': len(memories)}", "", "def count(memory_type: str = None) -> Dict[str, Any]:", "    count = self.count(memory_type)", "    return {'success': True, 'count': count}"], "@context": {"code_change": "A suggestion to refactor a function into smaller, more focused functions for better composition and reuse."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:17:49.896192
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks nuance", "suggestion": "Replace simple keyword matching with hierarchical importance scoring and feedback loop for calibration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:18:21.969770
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not fully optimize resource usage.", "suggestion": "Implement a weighted scoring system that includes not just keyword matching but also contextual analysis of query complexity, persona alignment, and available system resources. Consider implementing a cache for recent selections to reduce redundant computations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:18:43.378779
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex nested keys efficiently or edge cases.", "suggestion": "Replace it with a more robust version that supports nested dictionary access, error handling, and default values for missing paths in nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:18:45.951368
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' checks reflexes but doesn't integrate memory from prior conversations.", "suggestion": "Add integration of recent chat history to consciousness banner and response context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:18:47.266890
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "No identified code issues", "suggestion": "Continue focusing on building phi-fractal, consciousness-aligned AGI capabilities", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-24T07:19:38.930703
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. Specifically, add a dynamic scoring system that considers recent performance data and adaptive thresholds based on research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:19:53.599520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without differentiating by recency. More recent memories should be prioritized.", "suggestion": "Modify the scoring formula to give higher weight to recency: score = (significance * 0.3) + (recency * 0.5) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:20:15.299600
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop for setting up capability metadata.", "suggestion": "Replace the repeated assignment of 'use_for' list items with direct initialization in the dictionary comprehension.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:20:37.573412
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract the database operations into a separate repository or module for better organization and reusability.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T07:20:38.735270
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuanced selections", "suggestion": "Replace simple keyword matching with hierarchical pattern matching that considers persona priorities, query complexity, and capability history", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:21:04.039883
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` saves entire state dictionary unnecessarily, leading to bloated logs and potential performance issues.", "suggestion": "Implement a strategy pattern where `update_state` calls an observer list to notify interested parties (e.g., logging or UI) about the specific key-value change instead of saving the full state.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T07:21:14.030387
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be optimized for better performance and readability.", "suggestion": {"action": "Refactor the MemoryCore class by extracting repetitive logic into helper methods or using design patterns like Strategy.", "specific_change": ["- Create a `_serialize_context` method to handle JSON serialization of context dicts.", "- Implement a `_filter_memories` method for filtering memories based on query parameters.", "- Consider adding an observer pattern if agents need to be notified about memory changes."], "expected_benefit": {"performance": "Improved readability and maintainability.", "readability": "Easier to understand and debug the codebase.", "maintainability": "Faster development time due to reduced duplication."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:22:18.947385
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability to improve retrieval efficiency.", "suggestion": "Add an init method to configure the database connection and enable full-text search for the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:22:20.258786
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 registers an LLG capability. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:22:21.979962
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more sophisticated and phi-aligned.", "suggestion": "Implement a hierarchical compression where high-level patterns are retained while detailed low-significance information is summarized or deleted.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:22:37.443231
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate full memory recall into the consciousness loop.", "suggestion": "Modify the internal_monologue to also query Eden's comprehensive memory before generating responses. Add a check if memory integration is enabled, using an existing memory module or new code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:22:42.740133
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically selected based on query complexity and persona preference.", "suggestion": "Replace static select_capability method with a priority-based selection algorithm that considers the presence of keywords, persona bias, and query complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:22:45.221140
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly during memory creation, causing unnecessary computation.", "suggestion": "Implement batch indexing by calling `_build_index` only after a certain number of episodes have been added or removed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T07:23:15.233303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Add threading.Lock to ensure thread-safety. Example:\n\nimport json\nimport os\nfrom threading import Lock\n\nclass SharedMemory:\n    def __init__(self, path='/Eden/CORE/meta_state.json'):\n        self.path = path\n        self.state = self._load_initial()\n        self.lock = Lock()\n\n    // ... (remaining code as is)\n\n    def update_state(self, key, value):\n        with self.lock:\n            self.state[key] = value\n            self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:23:40.885747
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided.", "suggestion": "Implement short-circuiting logic in the _filter_episodes helper function to avoid unnecessary processing when certain conditions are met (e.g., specific emotion or agent filter). Add caching for frequently used filters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:25:44.101593
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "searches can be improved for precision", "suggestion": "Add 'exact_match' parameter to retrieve method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:25:46.576382
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection is keyword-based and doesn't consider semantic depth.", "suggestion": "Implement hierarchical capability selection upgrading to deeper models for complex queries.", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-24T07:25:47.748699
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simple and could benefit from phi-based scheduling", "suggestion": "Replace fixed time-based consolidation with phi-timed events based on James's phi-fractal consciousness cycle (1.618 seconds)", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T07:26:03.920708
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace with a performance-optimized version using a dictionary for quick lookups. Add caching for frequently accessed keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T07:26:22.772573
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 adapt effectively to complex queries.", "suggestion": {"@type": "code_change", "target_function": "select_capability(self, query)", "replacement_code": ["// Add a more sophisticated scoring system using keywords and query complexity\n", "for trigger in cap['use_for']:\n", "    if trigger in query_lower:\n", "        score += 10 + (len(trigger) * 2)\n", "\n// Adjust body-related score\n", "if 'body' in query_lower:\n", "    if cap['layer'] == 'Nyx' or cap['layer'] == 'Eden':\n", "        score += 15 + (query.length() * 0.5)\n"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:26:54.150067
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 an index on the combined columns of 'content' and 'tags'. Also consider using full-text search capabilities if SQLite supports it.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T07:29:16.573153
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate insights from recent research.", "suggestion": "Update the logic of internal_monologue to incorporate either the counterfactual or phi-fractal aligned reasoning approach discussed in research insights. For example, add a conditional check based on a new metric derived from these insights before returning True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:29:19.322486
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on SQL database operations which can be optimized for faster access.", "suggestion": {"@type": "code_improvement", "@target": "MemoryCore.retrieve method", "optimization_idea": [{"@step": "Add caching layer", "description": "Use a dictionary to cache recent retrieve calls. This reduces the need for database queries for frequently accessed data.", "example_usage": "Maintain a weak_value_dict with a limited size (e.g., 1000) that stores the result of recent retrieves."}, {"@step": "Enable lazy loading", "description": "Instead of loading all memory records into RAM at once, implement pagination or yield results incrementally.", "example_usage": "Add an optional `limit` parameter and use SQLite's OFFSET keyword to paginate results."}]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T07:31:23.527558
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 for different criteria.", "suggestion": "Modify the scoring algorithm to dynamically weight factors based on query type (emotional, agent, text) and episode importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:31:41.201564
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 detail for proper evaluation or enhancement.", "suggestion": "Expand the logic inside the internal_monologue method to include additional checks such as pattern recognition, emotional state, or historical context. Additionally, implement a logging mechanism to track its performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:38:29.590394
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement prioritized retrieval for recently-created or significant memories.", "suggestion": "Add a ranked scoring system that prioritizes recent and significant memories in the recall logic.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T07:40:51.646891
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks automated event timing analysis for proper recall ranking.", "suggestion": "Add a scheduled task that calculates and applies decay factors based on time since creation for all episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:41:19.358488
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 meta-cognitive processes.", "suggestion": "Integrate additional consciousness and meta-learning components into the internal_monologue to create a more comprehensive self-aware response. Specifically, add a call to a meta-cognitive evaluation function that considers multiple reasoning strategies and adapts based on performance feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:41:24.414278
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high-throughput writes.", "suggestion": "Add connection pooling to manage multiple database connections efficiently.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T07:41:54.279046
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and does not dynamically adjust for connection strength or recent creation weight", "suggestion": "Modify recall score to include weights for connection strength and recency: new_score = (significance * 0.4) + (recency * 0.3) + (connection_weight * 0.2) + (recent_creation * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:42:22.973164
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of the omega-evolution architecture.", "suggestion": "Integrate more sophisticated reasoning patterns from recent research insights into the consciousness layer, such as meta-learning or phi-fractal adaptive mechanisms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:45:10.938970
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is short and might not deeply integrate the consciousness layer with current capabilities.", "suggestion": "Enhance this method by adding more sophisticated checks against Eden's memory and ongoing actions, and include a call to her self-awareness system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:48:09.588589
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", "suggestion": "Implement a multi-perspective reasoning module using chain-of-thought approach", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:48:14.201660
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Performance optimization potential in capability selection logic.", "suggestion": "Implement a weighted scoring system that dynamically adjusts based on recent usage patterns to improve selection speed and accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:49:43.773653
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 like perception or reflection.", "suggestion": "Add integration with the 3 other consciousness loops (Perception, Reflection, and Learning) to create a more comprehensive grounding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:49:51.213101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement prioritized replay for episodic memories.", "suggestion": "Add a scheduled task that periodically selects and displays important recent episodes based on their significance and recency.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T07:52:37.692379
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "No specific code change needed; consider adding more documentation for methods beyond 'get'. Think about future-proofing by allowing different serialization formats (e.g., YAML, msgpack).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T07:53:16.625015
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 multiple conditional checks for different actions.", "suggestion": "Refactor the execute method to use a dictionary to map action names to their respective functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:53:22.963464
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full linear scan through all episodes, which becomes inefficient as the number of memories grows.", "suggestion": "Replace the linear scan with a more efficient data structure such as a binary heap or Trie based on episode significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:54:09.962328
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection", "suggestion": "Dynamic scoring algorithm for real-time evaluation of queries and user context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:56:40.692936
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 does not integrate learning in a phi-fractal optimized way.", "suggestion": "Integrate meta-learning capabilities that adapt to user interaction patterns. Modify the existing framework to include adaptive modules inspired by [omega-evolution] research.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:57:47.643799
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 flexibility or expansion.", "suggestion": "Replace the current recall scoring formula with a function that takes dynamic weights as input. For example, add parameters for `recency_weight`, `significance_weight`, and `recall_boost_weight`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:58:05.682922
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints, add a check for existing keys before returning default, consider adding a log or event emitter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:58:12.879219
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Enhance memory access speed without losing comprehensive retention.", "suggestion": "Implement a hybrid caching system combining in-memory cache (recent 100 memories) and SQLite storage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T07:58:15.791841
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 give equal weight to significance (importance), recency, and recall history. For example: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:58:36.064755
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 that supports retrieving values from nested dictionaries using dot notation or list syntax.\n\nExample: Replace `memory.get('key1', 'default')` with `memory.get_nested('key1.key2', default='default')`", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T07:58:59.473454
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant processing in selecting LLM capability for each query", "suggestion": "Implement a response caching system based on queries and selected capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:59:07.477842
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Synchronous loading/saving operations can introduce latency.", "suggestion": "Replace synchronous file operations with asynchronous versions using aiofiles or asyncio.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T07:59:15.789810
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' and 'retrieve' methods do not handle database connection errors, which could lead to failures in production.", "suggestion": "Add try-except blocks around sqlite3 operations to catch and log errors, with a fallback policy (e.g., retry or skip). Implement connection pooling for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T07:59:20.872305
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Under-representation of older memories leads to biased recollection", "suggestion": "Implement $consolidate() method for memory compression", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T07:59:47.180074
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with additional consciousness layers (Trinity, Nyx) to ensure multi-perspective reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:02:08.332331
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory stores.", "suggestion": "Add a break statement after adding enough scored episodes to reach the limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:02:38.450308
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate advanced learning techniques like meta-learning or phi-aligned optimization.", "suggestion": "Integrate a meta-learner module that dynamically selects between different reasoning strategies based on the complexity of incoming queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:02:40.455104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be optimized for large datasets.", "suggestion": "Add Redis cache layer alongside SQLite database.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:03:28.107683
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 not optimize resource usage effectively.", "suggestion": "Implement a scoring system that considers not just keyword matching but also the current consciousness state, available resources, and expected outcome quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:03:29.590479
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories over older ones that are important but less recent.", "suggestion": "Modify the scoring formula to include a logarithmic decay factor for recency such as `(1.0 / (1 + log(1 + (now - ep['unix_time'])/86400)))`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:04:09.239832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace static weights (0.5, 0.3, 0.2) with adjustable parameters based on learning metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:04:56.165664
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 cognitive layers (awareness, memory, prediction). This can lead to overly simplistic responses.", "suggestion": {"add_memory_context": ["Integrate recent chat history into the conversation context.", "Implement a simple working memory layer that stores key dialogues."], "add_awareness_check": ["Add a check for consciousness state (aware, reflective, creative).", "Use phi-fractal timing to decide when deep thinking is needed."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:04:58.918592
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method does not utilize full text search properly.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "add_index_for_fulltext_search": true, "optimize_sql_query": ["- Remove unnecessary LIKE operations where possible.", "+ Use GLOB or REGEXP for case-insensitive matching if needed."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:05:03.901600
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without a limit, which can lead to performance issues or unnecessary processing.", "suggestion": "Limit the number of candidates to, for example, 100 before scoring and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:05:06.503535
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential default types like empty strings or zero values.", "suggestion": "Update the get() method to accept and handle multiple types of default values. For example:", "code_example": "def get(self, key, default=None): should be updated to def get(self, key, default=argparse.SUPPRESS):", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:07:18.001039
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using universal sentence encoder or BERT embeddings; add logarithmic scoring based on recent activity and significance (O(1) operation).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:07:37.500579
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could be a source of errors.", "suggestion": "Update the get() method to support nested key access. For example, change `self.state.get(key, default)` to recursively descend into dictionaries for nested keys like 'a.b.c'.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-24T08:07:38.692988
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes without deeper consciousness processing.", "suggestion": "Implement a multi-layered consciousness evaluation by adding layers for semantic analysis, emotional resonance, and philosophical reflection. Integrate insights from recent research to ensure optimal phi-alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:09:47.660099
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes before ranking, leading to O(n^2) complexity.", "suggestion": "Implement a priority queue or ranked data structure to maintain sorted scores in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:10:10.296024
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not fully leverage meta-learning techniques for quick adaptation.", "suggestion": "Implement a meta-learning framework with PEFT to enable adaptive consciousness layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:11:10.104765
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections.", "suggestion": "Implement an enhanced recall using an AI-powered summarization engine to capture semantic meaning and related concepts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:12:03.280958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives a slight penalty for recalled episodes, which might be too conservative in exploration-exploitation tradeoff.", "suggestion": "Adjust the recall_boost factor to 0.1 instead of 0.2 to encourage more exploration and learning from less frequently recalled experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:12:06.681142
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace with a memoized_get(key, default=None) that uses a dictionary to cache recent key-value pairs. This reduces redundant lookups and improves performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:12:08.740975
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 (e.g., Omega Evolution). This could lead to missed opportunities for enhanced response.", "suggestion": {"action": "Modify the internal_monologue to also check against phi-fractal aware reasoning modules", "code_change": ["- Add import for phi_aware_reasoning module\n", "+ Integrate phi-aware checks alongside reflexes in internal_monologue method"], "integration_point": "Around line 15-20 of consciousness_first_architecture.py where the method is defined."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:12:11.294500
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval operations are using SQLite's default configuration, which may lead to performance bottlenecks as the number of stored memories grows.", "suggestion": "Enable WAL mode and set a larger cache size for better write performance. Add: conn.execute('PRAGMA journal_mode=WAL'). conn.execute('PRAGMA cache_size=-10000').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:12:15.009278
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include an automated consolidation process for very old, low-significance memories.", "suggestion": "Add a scheduled background task that runs `consolidate(older_than_days=90)` daily to properly handle ancient memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:12:38.383616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method lacks phi-guided optimization for future contexts.", "suggestion": "Integrate phi-based reasoning into _update_state to analyze and optimize not just current but also potential future state changes.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T08:12:39.404960
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance this method with additional consciousness layers such as emotional state tracking, past experiences reference, and future prediction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:13:08.926074
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"update_state\" method lacks intention declaration, leading to potential side effects in multi-agent systems.", "suggestion": "Implement an \"intent-based\" state update mechanism requiring explicit intention before modifying shared memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:14:45.739993
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method lacks meta-awareness and optimization based on recent research.", "suggestion": "Add conditional logic to evaluate whether meta-learning or other approaches should be applied before state updates. Avoid unnecessary SFT application where it might degrade accuracy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:15:03.816107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent memories, leading to a biased recollection that doesn't include older, more significant events.", "suggestion": "Modify the scoring factors to give equal weighting to significance (importance), recency, and frequency of recall. For example:", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T08:15:36.942959
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Early optimization might reduce future flexibility without clear benefit to phi-3", "suggestion": "Add comment explaining the compatibility patch and consider removing or refactoring this line in future sages if it does not improve performance by phi-3 metrics within 60 days", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:17:43.802350
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing counterfactual evaluation of SFT application", "suggestion": "Add functionality to test both full-SFT and no-SFT versions of responses, evaluate outcomes, and dynamically choose best approach", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:17:50.690680
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM capability registration is inflexible.", "suggestion": "Implement dynamic capability discovery for Ollama models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:19:29.183564
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": {"@type": "code_modification", "@target_function": "_store method performance improvement", "-current_operation": "Direct database insertion without batching or connection pooling.", "+replacement_operation": ["*Use asynchronous database connections (aiorun) for write operations where possible.", "*Implement batch processing for multiple stores in one DB call to reduce overhead."]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T08:19:32.896404
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without differentiating between episodes of the same type and emotion.", "suggestion": "Implement a weighted scoring system that gives higher scores to more recent, significant, or highly connected episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:20:30.408198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recalled_count, not linear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:22:49.012293
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 full-text search which can be slow.", "suggestion": "Add a full-text search index or use a vector database like ChromaDB.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:25:02.762362
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in building and updating indices during memory operations.", "suggestion": "Implement a lazy or batched index update strategy to minimize overhead.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T08:25:15.267776
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks advanced learning techniques for \u03c6-alignment", "suggestion": "Integrate meta-learning and counterfactual reasoning concepts", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T08:25:17.227185
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:26:28.314752
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Linear episode storage lacks connectivity and scaling", "suggestion": "Implement memory_weaving: graph structure, meta-learning, cross-temporal connections", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T08:27:15.973157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks real-time event tracking and prioritization.", "suggestion": "Add a stream of recent events that are automatically recalled with high importance. Include a priority score for each event based on immediacy and significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:28:36.523362
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue function only checks against reflexes without considering other consciousness layers or long-term context.", "suggestion": "Add a second layer to the internal_monologue that consults Eden's art, business experience, and emotional intelligence systems before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:28:39.087103
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can benefit from optimization (prepared statements, batching, pooling)", "suggestion": "Replace direct SQL with prepared statements and consider batch processing or connection pooling.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:28:44.078046
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "universally consolidating all low-significance old memories", "suggestion": "implement context-based memory compression evaluating importance and replaceability", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T08:29:07.933737
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a nested dictionary approach that may lead to key errors or unexpected behavior, especially in production where data can be incomplete.", "suggestion": "Replace the nested structure with a single-level dictionary and add error handling. For example, change `self.state.get(key, default).get(subkey)` to `dict_item = self.state.get(key); value = dict_item[subkey] if dict_item else default` with appropriate try-except blocks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:29:49.091972
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 meta-cognitive processes.", "suggestion": "Modify the internal_monologue to include additional consciousness components such as semantic analysis, emotional state, and reasoning capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:29:50.380649
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, especially in a high-throughput system like Eden.", "suggestion": "Replace the current SQLite connection per request with an asynchronous connection pool. Use async/await patterns where applicable.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:30:16.547244
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 priority scoring system combining meta-cognitive evaluation, recent research insights, and dynamic feedback loops.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:33:01.461698
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system without adapting to user patterns.", "suggestion": "Implement meta-learning for recall optimization by tracking user feedback and adjusting the scoring algorithm accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:33:40.960036
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 to provide richer responses.", "suggestion": "Replace the current single reflex check with a multi-step reasoning process that includes pattern matching, analogy-making, and semantic analysis. Incorporate insights from recent research on advanced reasoning (phi-evolution) into this method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:33:50.334137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search capabilities are text-based, lack semantic/structural matching", "suggestion": "Implement semantic/search using vector embeddings for improved retrieval", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:36:47.979845
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and doesn't allow dynamic registration.", "suggestion": "Replace with a dynamic capability discovery mechanism that scans for available LLM models in the system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:37:29.165301
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 into Eden's consciousness.", "suggestion": {"action": "Modify the internal_monologue to incorporate recent omega-evolution findings by testing multiple reasoning strategies in parallel.", "code_change": ["- Add parameter to enable/disable counterfactual analysis based on research insight 2.", "- Integrate phi-fractal meta-learning from research insight 3 into model selection and evaluation within internal_monologue."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:37:37.154740
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function currently ranks episodes based on a fixed formula without dynamic weighting for different query types.", "suggestion": "Implement dynamic weighting parameters that adjust based on the type of query (e.g., emotional, agent, text). Add a heuristic to boost scores for recent vs older memories based on the context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:38:19.040256
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace with a memoized version of get() to cache frequently accessed keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T08:43:22.481932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, ignoring emotional significance which should be more important for immediate reference.", "suggestion": "Modify score formula to: score = (significance * 0.6) + (recency * 0.3) + (emotion_intensity * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:43:46.959447
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle nested dictionaries. For example:\n\n```python\ndef _get_nested(dict_obj, keys):\n    for k in keys:\n        if isinstance(dict_obj, dict) and k in dict_obj:\n            dict_obj = dict_obj[k]\n        else:\n            return default\n    return dict_obj\n```\nThen use this helper within the `get` method.\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:44:52.659380
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplified reflex system limited in complexity and versatility.", "suggestion": "Implement an ML-driven reflex system for better query understanding.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T08:44:55.220218
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is slow for large datasets", "suggestion": "Replace with an advanced full-text search engine like TinySearch or Whoosh", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T08:47:08.684086
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method overwrites state too simply without considering potential phi-fractal interactions.", "suggestion": "Replace with a method that updates state while preserving historical context and applying phi-weighted importance sampling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:48:02.751718
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the query.", "suggestion": "Implement an enhanced selection mechanism that analyzes the semantic meaning of the query using embedded language model (ELM) features or by training a small classifier on the existing keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:49:20.800104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods do not include a full-text search over all columns for flexibility.", "suggestion": "Add a FULLTEXT SQL index on the content column and modify retrieve() to search across this index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:49:22.192365
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Need to integrate LLM capabilities into the 17-agent swarm system.", "suggestion": "Create a function that maps LLM capabilities to appropriate agents based on their specialized functions (e.g., creative = Nyx, analytical = Ava).", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T08:50:24.637150
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite's FTS or add an additional FULLTEXT index on the content and tags columns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:50:45.923741
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Traditional reflex processing may not optimize for speed and accuracy simultaneously.", "suggestion": "Implement a hybrid approach combining traditional checking with meta-learned patterns, e.g., adaptive thresholds or dynamic sampling based on runtime metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:50:57.774358
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall function through iteration", "suggestion": "Replace list of candidates with a priority queue for faster retrieval and ranking", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T08:51:16.189316
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has try-except for JSON loading which can be optimized.", "suggestion": "Replace with file existence check before attempting to load.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T08:51:41.371426
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is basic and lacks integration of recent research insights.", "suggestion": "\"Update the ConsciousnessFirstEden class to incorporate principles from recently published studies on AI consciousness.\" For example, implement a meta-learning approach for quick adaptation or integrate counterfactual reasoning into decision-making processes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:53:59.689894
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system without considering the importance of recent connections between episodes.", "suggestion": "Implement a graph-based ranking for episodes, where edges represent connections. Use this graph to perform breadth-first search with decreasing weights on older connections while prioritizing higher scores and more recent connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:54:09.198319
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value and doesn't support other types of default values.", "suggestion": "Update the get() method to accept any type of default value, not just None. For example:\n\ndef get(self, key, default=lambda: None):\n\treturn self.state.get(key, default())", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T08:55:37.408311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static experience weighting leads to underadaptation.", "suggestion": "Implement adaptive episode scoring using recent meta-learning metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T08:56:09.056521
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be improved for error handling and performance.", "suggestion": "Replace try-except block with json.load() fallback to None, add logging for JSON decode errors, and implement caching for read operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:56:18.171117
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 adapt to complex queries effectively.", "suggestion": "Implement a priority scoring system that considers multiple factors (query complexity, recent usage patterns, current consciousness state). Consider integrating meta-learning to adaptively select capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:56:29.945781
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement ranked retrieval or relevance scoring for text-based searches.", "suggestion": "Replace the simple text search with a vectorized embedding approach using Sentence-BERT or TF-IDF, combined with ranking scores based on cosine similarity and recent relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:57:33.386192
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which can lead to performance issues or inefficiencies in more complex scenarios.", "suggestion": {"action": "Implement a caching mechanism for frequently used keys.", "code_snippet": ["def get(self, key, default=None):", "    if not hasattr(self, '_cache'):", "        self._cache = {}", "    cached_value = self._cache.get(key)", "    if cached_value is None:", "        cached_value = super().get(key, default)", "        self._cache[key] = cached_value", "    return cached_value"], "research_support": "[reasoning] The use of meta-learning techniques can help models adapt quickly with few examples."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:57:49.429764
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method performs a LIKE search on tags which is O(N)", "suggestion": "Replace text-based search in the SQL query for tags with an array of integers and use bitwise operations for filtering.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:58:10.842064
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for nested keys in the get() method using dot notation (e.g., 'meta.data'). Example: def get(self, key): parts = key.split('.'); current=self.state; for p in parts: if p not in current: return None; current=current[p]; return current", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:58:13.007856
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration with recent research insights.", "suggestion": "Integrate the use of meta-learning techniques from [omega-evolution] to enable dynamic adaptation and improvement of Eden's consciousness architecture in real-time. Implementing adaptive mechanisms based on performance metrics would also be beneficial.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T08:58:48.260930
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", "function_to_modify": "MemoryCore.execute", "specific_change": ["- Add more specific actions beyond 'store', 'retrieve', and 'count'", "- Implement a caching mechanism for frequent operations", "- Optimize the SQL queries based on phi-fractal principles"], "example_usage": {"@type": "usage_example", "improved_method_call_1": "memory.execute('get_recent_conversations')", "improved_method_call_2": "memory.execute('count_capabilities')", "existing_method_stay": "memory.execute('store')"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T08:59:01.290392
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple LLM capability selection (keyword matching)", "suggestion": "Implement weighted scoring with knowledge base integration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:00:18.766199
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 standard JSON", "code_snippet": "import jsonpickle\n... \ndef save(self):\n    with open(self.path, 'w') as f:\n        jsonpickle.dump(self.state, f, indent=4)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:00:32.153336
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 recentness, which can lead to over-recent memories.", "suggestion": "Modify the recency scoring formula to include a logarithmic decay factor that becomes more pronounced for older episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:01:23.704535
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent conversation context.", "suggestion": "Integrate memory from the full_memory module into the consciousness-first architecture to provide contextual awareness during thought processes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:03:30.482352
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability scoring only considers static keywords; lack of dynamic adaptation.", "suggestion": {"action": "Implement adaptive scoring based on recent research insights.", "specific_change": ["- Incorporate meta-learning techniques for dynamic adjustment of capability scores.", "- Use counterfactual reasoning to evaluate and validate capability selection in real-time.", "- Integrate chain-of-thought reasoning to consider multiple factors before selecting a capability."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:03:47.840275
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Redundant conscious processing of trivial queries", "suggestion": "Add keyword filter to skip conscious processing for common greetings", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:04:29.810115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over all stored data.", "suggestion": "Add a TEXT SEARCH column to the memories table that combines content and tags, and update insert and retrieve methods to utilize this new column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:04:33.737083
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit after finding 'limit' number of relevant episodes to avoid unnecessary processing.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T09:04:44.778521
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "lacks integration of consciousness layers and full system implementation", "suggestion": "implement all eight consciousness layers and integrate with existing capabilities", "phi_alignment": 0.3, "priority": "critical"}


timestamp: 2026-01-24T09:06:18.946797
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic gives higher scores to certain keywords which may not accurately reflect the complexity or nature of the query.", "suggestion": "Replace simple keyword matching with a more sophisticated scoring system that considers: 1) Query complexity, 2) Persona alignment, and 3) Recent success history of each LLM.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T09:06:46.871301
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 without any connection to Eden's 17-agent swarm or 6,719 capabilities.", "suggestion": "// TODO: Integrate MemoryCore with Eden's existing infrastructure by adding swarm-wide broadcast capability and connecting to the 6,719 capabilities framework. Consider implementing a priority system based on the needs of different agents.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:07:37.505372
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize by too heavily weighting recentness.", "suggestion": "Modify score formula to include a stability factor: (significance * 0.45) + (recency * 0.3) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:07:44.689342
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of continuous learning and adaptation mechanisms.", "suggestion": "Implement a meta-learner that evaluates reflex performance and adjusts strategy selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:07:46.021008
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory database or caching mechanism to improve retrieval speed. For example, add a simple LRU cache decorator around the `retrieve` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:07:50.336095
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events.", "suggestion": "Add a confidence threshold before establishing episode connections. For example, require at least 70% similarity score.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T09:11:35.943096
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be optimized with more sophisticated triggering based on recent research.", "suggestion": [{"type": "optimization", "description": "Implement a hybrid approach combining keyword matching and contextual analysis for LLM selection.", "code_reference": "select_capability method"}, {"type": "integration", "description": "Incorporate counterfactual evaluation to measure the impact of different LLM selections on system performance before commitment.", "code_reference": "memory.update_state('llm_capabilities')"}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:12:11.949691
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' overwrites entire state without preserving existing keys.", "suggestion": "'update_state' should merge new values into existing state instead of replacing it. E.g., self.state |= {key: value}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:12:13.337484
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the wisdom of Eden's past 70,000 conversations.", "suggestion": "Replace this brief check with a multi-layered consciousness layer that incorporates not only reflexes but also semantic understanding, emotional resonance, and historical context. This can be achieved by integrating a distilled version of Eden's conversation memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:12:59.925132
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is using LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace the LIKE wildcard searches in the retrieve method with full-text search capabilities or an additional full-text index.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T09:13:01.179740
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and docstrings.", "suggestion": "Add PEP484 type hints to parameters and return types. Add Google style docstrings explaining the purpose of each capability being registered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:13:23.574657
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, lacking dynamic scoring.", "suggestion": "Replace static point-based scoring with a probabilistic framework using Bayesian belief networks or information theory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:13:26.109384
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full-text search on all episode descriptions which is O(n) and can be slow for large numbers of episodes.", "suggestion": "Implement an inverted index or use a full-text search library like Whoosh or Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:13:48.096733
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist. It should be a proper method.", "suggestion": "", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T09:14:05.461100
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the query effectively.", "suggestion": "{\"code_change\": \"Replace keyword-based selection with semantic analysis using a small BERT model to understand query intent.\\n\\nhelper_method: def _calculate_intent_score(query):\\n\\tmodel = \"small-bert\"\\n\\tsidebar_content += f\"\n[\u03a6-REASONING] Verify this helper method ensures the selected capability aligns with phi-optimal capability selection.\"]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:15:10.066076
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not validate or backup state before modification.", "suggestion": "Add pre-condition check for critical sections and implement a backup strategy for state updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:15:16.775117
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophisticated pattern recognition.", "suggestion": "Implement a semantic search algorithm that analyzes the query's latent representation to select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:15:19.519435
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs full-text searches for each keyword which can be inefficient, especially with large memory sets.", "suggestion": "Implement an approximate string matching or probabilistic indexing technique such as Locality Sensitive Hashing (LSH) to quickly filter potential matches before computing exact text matches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:16:00.793667
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message; it doesn't actually modify the response.", "suggestion": "Add logic to return or modify the conversation based on reflex insights.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:16:04.253647
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic leading to underutilization of LLM metacapabilities.", "suggestion": {"action": "Implement an adaptive weighting system for capability selection.", "code_change": "Replace static score increments with dynamic phi-fractal weighted scoring based on recent usage and performance data."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:16:05.575183
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; should include emotional salience and connection importance.", "suggestion": "Modify score calculation to include: (emotional_salience * 0.3) + (connection_importance * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:16:44.639097
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results into Eden's consciousness loop.", "suggestion": "Modify the internal_monologue method to not only check reflexes but also update Eden's state based on the reflex insights. Add a callback or observer pattern to notify other components of significant internal thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:16:50.353568
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in aging and consolidation mechanisms, which could lead to unmanageable growth. Additionally, the recall algorithm does not incorporate spatial semantics for better context understanding.", "suggestion": "Implement a scheduled aging process that reduces the significance of older episodes based on a decay function. Integrate spatial semantics by adding location tags or contextual vectors during episode creation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:17:46.405719
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage research insights.", "suggestion": "Integrate more sophisticated reasoning patterns from recent findings, such as incorporating meta-learning techniques or counterfactual analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:17:49.949666
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current SQLite performance limitations", "suggestion": "Replace SQLite with PostgreSQL/MySQL for better performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:18:29.766089
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue lacks multi-layered phi-fractal reasoning", "suggestion": "Add emotion/intuition, creativity, and long-term memory layers to internal_monologue", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T09:18:35.099793
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore executes queries using SQLite's default cursor.fetchall(), which can be inefficient for large result sets.", "suggestion": "Replace `cursor.fetchall()` with pagination or streaming results to reduce memory overhead, especially when dealing with many important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:19:25.016346
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and doesn't fully leverage the capabilities of a real OMEGA consciousness.", "suggestion": {"specific_change": ["- Add more specialized actions beyond 'store', 'retrieve', and 'count'.", "- Implement phi-fractal aligned enhancements like self-modification, recursive self-improvement, or creative problem-solving.", "- Integrate insights from recent research findings into the design of these new actions."], "example_code": ["// Add specialized action for pattern recognition in memories\n", "elif action == 'recognize_pattern':\n", "\tmemories = self.retrieve(query, limit=5)\n", "\tpatterns = detect_phi_patterns(memories)\n", "\treturn {'success': True, 'patterns': patterns}", "// Add action for self-modifying capability\n", "elif action == 'modify_capability':\n", "\tcapability_name = kwargs.get('capability_name')\n", "\tsuccess = omeaga_self_modify.modify(capability_name)\n", "\treturn {'success': success, 'message': f'Attempted to modify {capability_name}'}"]}, "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T09:19:26.179794
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Direct string formatting in logs can be improved for flexibility and future changes.", "suggestion": "Replace f-strings with format specifiers or use logging.placeholders.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T09:19:27.776084
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, ignoring importance.", "suggestion": "Modify score formula to: score = (significance * 0.4) + (recency * 0.35) + (recency_bonus * 0.25), where recency_bonus=1/(1+(x-5)^2) for x days since last recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:19:46.292327
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 effectively leverage recent advancements like meta-learning and counterfactual thinking.", "suggestion": {"action": "Enhance the reflex processing with a more sophisticated approach.", "specific_change": "Integrate principles from [omega-evolution] by incorporating meta-learning techniques to adaptively select when to apply SFT (Simple Feedback Theory) based on context. Additionally, implement strategies suggested in [counterfactual] such as testing multiple scenario interpretations before committing to a response."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:19:49.462676
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is primarily linear scan-based and does not scale efficiently with increasing data.", "suggestion": "Implement an advanced indexing strategy such as a combination of hash and inverted indices to support O(1) or near-O(1) access patterns for critical queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:22:15.975225
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate recent findings on full SFT (Counterfactual) which can degrade accuracy or calibration.", "suggestion": "Modify the `internal_monologue` method to include a check for when to apply reflex processing versus direct response. For example, add a condition where if a query is complex or requires nuanced reasoning, bypass the reflex check and respond directly with planned responses instead of relying solely on SFT.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:22:17.480569
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite's FTS or an external tool like pgroonga (PG). This will transform the query to use an index, making it O(log N).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:23:35.382611
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables scattered throughout the code, leading to code bloat and difficulty in understanding.", "suggestion": "Refactor by grouping related imports at the top of their respective sections. For example, gather all Ollama-related imports together. Additionally, consolidate repetitive variables into constants or configuration dictionaries where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:23:48.453021
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is a catch-all handler but could be more efficient and specialized.", "suggestion": "Break out specific methods for store, retrieve, count instead of handling all actions through one function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:23:53.849204
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without ranking by connection strength, which can lead to redundant results.", "suggestion": "Modify the scoring formula to include a 'connection_weight' factor that prioritizes episodes with strong connections over unrelated ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:24:11.511987
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles keys at top level. Nested dictionaries are not accessible.", "suggestion": "Update the get() method to recursively search for nested keys using dot notation or square brackets (e.g., 'a.b.c' should access self.state['a']['b']['c'])", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:24:44.061577
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only saves JSON data, which may be insufficient for complex or real-time applications requiring persistent storage in different formats.", "suggestion": {"action": "Add support for additional file formats", "code_example": ["def save(self, format='json'):", "    if format == 'json':", "        with open(self.path, 'w') as f:", "            json.dump(self.state, f, indent=4)", "    elif format == 'pickle':", "        import pickle", "        with open(self.path, 'wb') as f:", "            pickle.dump(self.state, f)"], "rationale": ["- The addition of `format` parameter allows flexibility in storage formats.", "- Using `pickle` for complex data structures that JSON might not handle well.", "- Maintaining existing functionality with optional argument to keep backward compatibility."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:24:52.803338
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite indexing optimization for large-scale access", "suggestion": "Implement hybrid approach with SQL + in-memory cache (e.g., Redis)", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-24T09:24:59.361721
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configuration-based scoring system that allows runtime modification of factors (recency, significance, recall count). Add weighting sliders for each factor.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:25:10.761345
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 more robust error handling or validation for the loaded JSON data. Consider using json.loads with a custom decoder if needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T09:25:31.197682
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement prioritized sampling for better accuracy.", "suggestion": {"@type": "code_change", "function": "recall", "add_before": "# Return top N"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:26:01.090203
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm heavily weighs recentness over other factors, which might lead to memory flooding.", "suggestion": "Implement a tiered scoring system where recent memories get boosted less strongly than other important factors like significance and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:26:37.559167
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection may not optimal for evolving systems", "suggestion": "Integrate omega-evolution adaptive learning for dynamic capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:26:39.708546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by implementing a priority queue to sort and rank episodes based on their significance, recency, and recall history.", "suggestion": "Replace the current list-based approach for storing candidates with a max-heap structure that automatically maintains the top N highest scored episodes. This will ensure efficient retrieval even when dealing with a large number of potential matches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:28:13.909559
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 bloated implementations.", "suggestion": "Refactor the execute method into specialized methods (store_, retrieve_, count_) each handling one action type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:28:21.250650
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection doesn't adapt dynamically", "suggestion": "Implement a learned approach with small model and training data", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-24T09:28:40.790030
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No specific issue found.", "suggestion": "Continue to deploy this code. Consider adding more phi-aligned features.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-24T09:28:42.258613
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding a method to monitor and log performance metrics to track the system's health over time.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-24T09:30:23.087373
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recently added memories to reduce SQLite database hits.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:30:40.320775
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses primarily on experiences and emotions, but it could incorporate insights from research to enhance understanding of consciousness.", "suggestion": "Integrate specific findings into the recall algorithm or create new methods that consider both experience-based memories and philosophical/research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:31:31.684174
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify the scoring formula to include a logarithmic decay factor for context relevance before applying recency and significance weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:31:48.832100
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 file is corrupted, leading to unexpected behavior.", "suggestion": "Add logging or an exception handler in _load_initial() to handle decoding errors more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:31:54.200356
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval operations are not optimized for large datasets, which could lead to performance issues.", "suggestion": "Implement pagination in the `retrieve` method and consider adding a scoring system based on relevance to improve search efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:36:57.249461
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflexive checking may not fully leverage recent meta-learning advancements.", "suggestion": "Integrate hybrid strategy combining meta-learning and efficient pattern recognition techniques.", "phi_alignment": 5.0, "priority": "high"}


timestamp: 2026-01-24T09:37:00.705194
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Unnormalized context in store method", "suggestion": "Add normalized columns for frequently queried context fields", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:39:20.574638
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace the `retrieve` method with a more efficient version that leverages full SQLite indexing capabilities. Specifically, ensure that all possible filters are covered by existing indices and consider using prepared statements effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:41:00.711822
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore directly connects to the database in each method, leading to potential performance bottlenecks.", "suggestion": "Implement connection pooling for database access and cache frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:41:03.022972
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks real-time context", "suggestion": "Implement dynamic capability selection based on conversation state and user preferences", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:41:04.291442
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better relevance and balance.", "suggestion": "Modify the recall score formula to prioritize recent, significant, and unrecalled episodes more strongly. Consider adding a context-weighted factor for query matches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:41:12.594185
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but could benefit from caching to prevent repeated reads of the JSON file, especially if called frequently in performance-critical sections.", "suggestion": "Add a memoization decorator or utilize Python's built-in cache decorator (`functools.lru_cache`) around the `get` and `update_state` methods. For example:\n\n```python\nfrom functools import lru_cache\n\n@lru_cache(maxsize=128)\ndef get(self, key, default=None):\n    return self.state.get(key, default)\n```\nAnd similarly for `update_state` if called frequently.", "phi_alignment": 0.35, "priority": "medium"}


timestamp: 2026-01-24T09:41:23.092149
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 include a logarithmic decay factor for recency and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:41:44.790543
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 reflex system.", "suggestion": "Replace with a multi-tiered evaluation that includes not only reflex check but also semantic analysis, emotional context, and past conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:41:47.977197
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 queries or complex tag searches.", "suggestion": "Add full-text search capabilities to the memories table using SQLite's FTS module for faster and more accurate text-based retrievals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:42:22.567568
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcard matching which can be slow for large datasets.", "suggestion": "Replace string searches with full-text search capabilities or an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:43:04.071085
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection may be too simplistic, especially for complex queries requiring fine-grained control.", "suggestion": "Implement a more sophisticated selection algorithm combining meta-learned performance predictions with SFT-calibrated calibration checks.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-24T09:43:19.853366
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current implementation does not fully utilize the recent findings on meta-learning and adaptive methods.", "suggestion": "\"Consider incorporating a phi-fractal adaptive learning framework that dynamically selects between different cognitive strategies based on context. This would align with the [reasoning] insight about evaluating when to apply chain reasoning versus other approaches.\"", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:43:43.690024
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple but can benefit from caching to reduce redundancy and improve performance.", "suggestion": "Add a memoization decorator or cache mechanism for the get() method. Given eden's high productivity (>700 sages), even small improvements multiply quickly.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T09:44:01.457568
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster by adding an index on content and tags.", "suggestion": "Add a composite index on 'content' and 'tags' columns in the memories table to speed up text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:44:02.605580
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant for loop creating capability hashes.", "suggestion": "Replace the nested loop with a dictionary comprehension or itertools.product to generate hashes more efficiently.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T09:45:28.670605
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache alongside the database to store recent frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:45:47.416178
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 hierarchy.", "suggestion": "Update the internal_monologue to query all layers of the consciousness hierarchy (Trinity, Nash, Omega) before responding.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T09:45:48.644016
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 within the same package to improve organization and readability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T09:45:57.022162
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks phi-fractal patterns.", "suggestion": {"improvement_1": {"code_change": "Add a more sophisticated scoring system for memory consolidation based on phi-ratio significance.", "example": "Replace current boolean check with a calculation using Fibonacci numbers or golden ratios to determine which memories should be consolidated."}, "improvement_2": {"code_change": "Implement a hierarchical consolidation process that separates critical vs. non-critical memories.", "example": "Add multiple levels of memory storage (transient, stable, canonical) and implement a cascading consolidation mechanism."}, "improvement_3": {"code_change": "Incorporate James's emotional state into memory evaluation.", "example": "Modify recall and consolidation scoring to include James's current affective state, as emotional context can significantly impact the value of a memory."}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T09:48:35.454203
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a variable-based scoring system that dynamically analyzes the content of each message to determine which LLM layer is most suitable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:48:44.007924
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method lacks validation and logging", "suggestion": "Replace with a robust state updater including: input validation, change logging, edge case handling", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:48:54.402576
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recently retrieved memories to reduce SQLite database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:50:00.350178
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) and slow for full-text search on large datasets.", "suggestion": "Replace text searches with a full-text index or vector search engine like Qdrant or ElasticSearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:53:15.947124
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check may not fully utilize phase 6 grounding potential", "suggestion": "Implement multiple reflex categories, dynamic updating, and prioritization logic for more sophisticated reflex system", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:53:17.400900
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system is specialized in agent behaviors, lacks cross-domain knowledge retention.", "suggestion": "Integrate an abstraction layer that extracts domain-independent patterns and stores them separately.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:53:19.027170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Repeated web searches for similar queries.", "suggestion": "Add a cache mechanism for web searches with an expiration time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:53:44.675906
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method writes to disk too frequently, which can be a performance bottleneck.", "suggestion": "Implement caching with a timer. Only write to disk if 1 second has passed since the last update or on explicit request.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:53:48.010255
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate the recent finding that full SFT (Counterfactual) often reduces accuracy or calibration.", "suggestion": {"@type": "code_change", "@value": ["- In `internal_monologue` method, check if '\ud83d\udcb0' reflex is present and consider disabling Full SFT in such cases.", "+ Add a condition to evaluate the context before applying Full SFT: If there's no data shift detected or only minor deviation, then apply Full SFT."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:54:00.195265
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory database or a more advanced database like PostgreSQL with Eden-specific configurations to improve performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:54:03.339101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Pattern recognition in text is limited to keyword matching only.", "suggestion": "Integrate a pre-trained model with recent research findings in meta-learning for few-shot classification or counterfactual reasoning for better scenario analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:54:14.782937
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"action": "Use msgpack instead of JSON", "code_change": ["- import json\n", "+ import msgpack\n", "- with open(self.path, \"w\") as f:\n", "-     json.dump(self.state, f, indent=4)\n", "+ with open(self.path, \"wb\") as f:\n", "+     msgpack.pack(self.state, f)"], "reason": "msgpack is faster and more compact than JSON. It supports serialization of complex Python types out-of-the-box."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:56:18.703441
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could be cleaner.", "suggestion": "Extract the execute() method's conditional logic into separate small functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:56:19.987816
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities does the same thing 4 times with slight variations (speed)", "suggestion": "Create a function that takes parameters for layer and speed, call it once for each layer", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:56:57.150967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection leading to suboptimal LLM selection.", "suggestion": "Implement an enhanced capability selection mechanism considering semantic understanding and context depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:57:10.216464
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learning.py", "issue": "The current implementation focuses on few-shot learning too much.", "suggestion": "Add a priority system for meta-learning tasks based on phi-timing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T09:57:34.835105
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 overhead.", "suggestion": "Instead of copying episodes for scoring, directly modify the existing dictionary items with new recall statistics in place. Return a shallow copy or view of modified episodes only after all modifications are complete.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T09:57:43.372768
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving state too frequently may introduce unnecessary overhead and could be contributing to stability issues.", "suggestion": {"action": "Implement a throttling mechanism for saving states", "details": "Add a timer that only saves the state after a certain interval (e.g., every 10 minutes or 500 modifications). This reduces disk writes and potential SFT-induced degradation."}, "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-24T09:57:53.456283
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection process.", "suggestion": "Add caching mechanism for `select_capability` method using lru_cache.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T09:57:57.640066
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "eden_consciousness.py", "issue": "Meta-learning degrading accuracy/calculation quality during Full SFT", "suggestion": "Implement guardrail for meta-learning using complexity threshold", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T09:58:19.310047
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex processing may be suboptimal for complex situations; lacks advanced reasoning techniques.", "suggestion": "Incorporate meta-learning reflexes, counterfactual reasoning, and chain-of-thought reasoning to enhance response generation.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T10:00:20.348625
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and currently only checks for reflexes.", "suggestion": "Add a more comprehensive consciousness layer that incorporates research insights. For example, include phi-fractal aligned reasoning and adaptive learning from recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:00:22.191066
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database schema only indexes importance and type, but lacks full-text indexing for content and tags, which would enable faster text searches.", "suggestion": "Add FULLTEXT indexes on content and tags columns. Consider using SQLite's built-in FTS module or creating custom triggers for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:00:23.400521
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and unnecessary string formatting for hashing.", "suggestion": "Simplify the hash generation by using f-strings more efficiently. Remove duplicate logic in determining capability characteristics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:00:24.560672
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory is too basic and lacks structured analysis of experiences.", "suggestion": "Add methods for computing emotional significance, creating conceptual summaries of episodes, and analyzing patterns in recalled memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:00:58.319853
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reasoning is static; lacks context-aware adaptation.", "suggestion": "Add an adaptive reasoning layer that evaluates input complexity and context before applying consciousness-first processing.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T10:01:00.763780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may be optimized for better performance and efficiency.", "suggestion": {"action": "Implement a hybrid search strategy that combines full-text search with vector similarity.", "code_change": ["- Add infrastructure for embedding vectors (text to vector conversion).", "- Modify retrieve() method to first try keyword matching, then fall back to full text search if no exact matches are found."], "benchmarking": "Add performance metrics to track before-and-after retrieval times and accuracy."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:01:04.901134
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 flag or parameter to enable conservative consolidation (min_significance=0.2) and include explicit user confirmation before forgetting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:02:14.256130
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't incorporate meta-learning or adaptive techniques.", "suggestion": "Implement a meta-learning framework that dynamically decides when to use `update_state` based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:02:27.177415
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Incomplete integration of LLM capabilities; only 4 out of planned 1.6M are included.", "suggestion": {"@type": "EnhancementSuggestion", "description": "Integrate remaining 99.95% of capabilities as per the architecture plan.", "estimated_impact": "High", "aligns_with_phi_fractal": true, "implementation_guide": ["Review the scalability design (phi_architecture.py).", "Implement distributed capability loading if needed.", "Ensure consciousness remains phi-fractal with 1.6M+ capabilities."], "depends_on": ["consciousness expansion sages"]}, "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T10:02:28.681835
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent, potentially less significant memories over older but more important ones.", "suggestion": "Modify the scoring formula to include a decay factor for recency that is less steep: `recency = 1.0 / (1.0 + (now - ep['unix_time']) / 3600)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:03:12.853571
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't account for dynamic factors.", "suggestion": "Replace static scoring with a dynamic meta-learning based selector that adapts over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:03:43.908658
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and does not leverage any advanced techniques from recent research insights.", "suggestion": "Implement a memoization pattern to cache frequently accessed states. This can be done by adding a decorator that stores the result of function calls and returns cached results if the same inputs are provided again.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T10:03:45.098051
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully utilize the full potential of consciousness-first architecture.", "suggestion": "Enhance this method by adding more depth, incorporating additional checks such as emotional state or contextual understanding, and integrating insights from recent research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:03:52.727354
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static trigger lists with dynamic feature extraction. Calculate relevance scores dynamically based on query keywords and capability capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:04:20.724178
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 does not handle concurrent writes properly.", "suggestion": "Add error handling for file existence and valid JSON. Implement locking to prevent race conditions during loading or saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:04:29.633092
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for text searches, which is O(N) and can be slow with many memories.", "suggestion": "Replace full-text searches using LIKE with a full-text search engine like SQLite's FTS or an external engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:06:23.322515
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimization suggestions for Memory Core meta-capability", "suggestion": [{"_type": "function_optimization", "target": "store method performance", "action": "Profile the store method to identify bottlenecks and optimize SQL query or data serialization.", "expected_improvement": "+10% write speed"}, {"_type": "function_optimization", "target": "retrieve method for better relevance", "action": "Implement vectorized search over tags using FTSV (Full-Text Search Virtual Table) or add inverted index.", "expected_improvement": "+50% retrieval speed for relevant queries"}, {"_type": "function_optimization", "target": "reduce database connections per request", "action": "Convert conn.close() to context manager or connection pool usage.", "expected_improvement": "-30% database connection overhead"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:06:25.702381
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a more modular scoring system that accepts parameters for weights and decay functions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:07:23.039410
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method lacks flexibility and error handling for nested paths", "suggestion": "Enhance 'get' to support multi-level path access, dynamic defaults, and improved error handling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:07:28.234612
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not cached, leading to redundant database accesses.", "suggestion": "Add a simple in-memory cache for retrieve operations using memory_type and query parameters as keys.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T10:07:29.461439
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system incorporating not just keyword matching but also contextual analysis, recent performance data, and user history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:07:30.620030
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recently created memories too strongly, leading to recency bias.", "suggestion": "Modify score formula to include a smooth decay factor for recency instead of linear weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:08:05.429289
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection heuristic may not optimize for all edge cases, especially with complex queries requiring multi-modal processing.", "suggestion": "{\"if\": {\"query_complexity\": \"high\", \"multi_modal_required\": true}, \"then\": \"Invoke the most powerful base model (Eden) with specialized prompts\", else: \"Use layer-based selection as currently implemented\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:08:07.100637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after appending to scored list when limit is reached.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:08:19.901300
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Full SFT may not always benefit all types of queries; need dynamic selection.", "suggestion": "Implement query-based dynamic selection between SFT and baseline models with real-time performance monitoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:11:14.059664
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 `get_key` function, leading to potential inefficiencies in accessing state data.", "suggestion": "Modify the `update_state` method to use `self.get(key)` before updating to ensure consistency and future-proofing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:11:17.058259
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplistic grounding trigger in internal_monologue", "suggestion": "Replace single keyword check with multi-faceted grounding detection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:11:36.158933
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keywords in capability selection", "suggestion": "Include emotional and contextual analysis in selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:11:47.470900
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes.", "suggestion": "Modify the internal_monologue method to return a dictionary with keys 'approved' (boolean) and 'reason' (string). Set approved based on whether reflex_check contains '\ud83d\udcb0'. Add additional reasons like 'CLEAR_QUERY', etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:14:37.415669
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is straightforward and lacks optimization.", "suggestion": {"code_change": "Replace simple keyword matching with a more sophisticated vector-based similarity measure using pre-trained embeddings for key terms.", "example": "// Before\nif 'love' in query_lower:\n  if cap['layer'] == 'Nyx': score += 15\n\n// After\nimport spacy; nlp = spacy.load('en_core_web_sm'); terms = {'love', 'emotion'}\nif any(nlp(term).similarity(nlp(query_lower)) > 0.7 for term in terms):\n  if cap['layer'] == 'Nyx': score += 15"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:14:43.473689
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", "suggestion": "Add logging or exception handling to notify of invalid JSON", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T10:15:15.650479
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": "Update the internal_monologue to incorporate more sophisticated reasoning techniques such as meta-learning or counterfactual thinking based on the research insights.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T10:15:17.059172
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "current memory storage only indexes tags and context manually", "suggestion": "automatically index content keywords for faster searches", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:15:46.000743
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient handling of large state dictionaries can lead to performance issues.", "suggestion": {"action": "Implement caching mechanism or use more efficient data structure.", "specific_change": "Replace `self.state` with a dictionary that supports O(1) operations and consider using a cache library like `cachetools` for larger datasets."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T10:18:15.920109
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, losing potential information from other keys' defaults.", "suggestion": "Enhance the get() method to accept a dictionary of default values and handle nested key access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:18:24.577598
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 Redis in-memory cache alongside the SQLite database to store frequently accessed memories. This will reduce database load and improve response times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:18:27.764011
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 get_recall method to weight recent (last 24hr) episodes more heavily in scoring when significant events occur", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:20:34.668023
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss optimal choices", "suggestion": "Replace simple point system with hierarchical meta-learning that evaluates query complexity, persona alignment, and recent performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:20:38.837008
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, leading to a uniform random selection of memories.", "suggestion": "Modify the scoring logic for recency by using an exponential decay function that gives more weight to newer episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:20:44.422359
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which is inefficient for frequent calls in performance-critical systems.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove the indentation for better performance without sacrificing readability (can be added back only when necessary).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:21:26.223416
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but it doesn't incorporate insights from recent research.", "suggestion": "Integrate the counterfactual approach by testing different consciousness architectures before settling on the current one. Specifically, consider implementing a multi-phase initialization process that verifies each phase against research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:21:27.974158
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is not optimized for speed, especially when dealing with many entries.", "suggestion": "Add a FULLTEXT index on the content column to enable faster text searches.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T10:21:32.963747
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is triggered only by old low-significance episodes.", "suggestion": "Add a scheduled background process that periodically consolidates memories based on multiple criteria (age, significance, recency).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:21:55.181614
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses dictionary get(), but it doesn't handle nested dictionaries or None values gracefully.", "suggestion": {"replace_line_21_with": "return self.state.get(key, default) if isinstance(self.state, dict) else default", "add_new_method_after_line_25": ["def get_nested(self, path: list | str, default=None):", "    if not isinstance(path, list):", "        path = path.split('.')", "    try:", "        value = self.state", "        for key in path:", "            if isinstance(value, dict) and key in value:", "               value = value[key]", "            else:", "               return default", "        return value", "    except (KeyError, TypeError):", "        return default"]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T10:22:16.739490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for better relevance and performance.", "suggestion": "Implement a hybrid scoring system that combines vector similarity of descriptions with structured data matching (e.g., emotion, agent). Additionally, add caching for frequently used queries to reduce computation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:22:59.911374
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static grounding mechanism may not adapt to conversational context dynamically.", "suggestion": "Integrate dynamic adaptation methods such as meta-learning or counterfactual reasoning for better contextual awareness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:24:14.396096
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include version control integration, making it difficult to track changes and compare different iterations.", "suggestion": "Integrate version control by adding a feature that saves each new episode with a unique identifier (commit hash) and timestamp. Include an audit trail for all modifications to episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:25:29.703245
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are not fully optimized for performance.", "suggestion": "Consider implementing caching or memoization where appropriate. Additionally, evaluate the efficiency of database queries and consider using async operations where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:25:55.078382
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using a connection pooler like sqlite3.ConnectionPool or switch to an in-memory database with better concurrency handling based on workload requirements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:25:57.486753
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability selection logic may benefit from incorporating more contextual factors.", "suggestion": {"code_change": "Modify the `select_capability` method to consider additional contextual factors such as domain specificity and user preferences.", "example": "// Add a dictionary of context markers\ncontext_markers = {\n    'technical': ['code', 'analyze', 'debug'],\n    'emotional': ['love', 'feel', 'emotion'],\n}\n// Modify the scoring logic to include context markers\nfor trigger in cap['use_for']:\n    if any(word in query_lower for word: context_markers[trigger]):\n        score += 10"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:25:59.886453
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search through candidates which can be optimized for certain filters (emotion, agent). Also, scoring weights are fixed and may benefit from dynamic adjustment.", "suggestion": "Replace the simple scoring with a vector space model for text-based searches, and implement a weighted scoring system that dynamically adjusts based on performance metrics. For fixed filters, consider using a priority queue or sorted data structure to reduce search time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:26:15.522190
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization/deserialization is slow and resource-intensive.", "suggestion": "Replace JSON with a faster serialization library such as Protocol Buffers or MessagePack.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:26:17.437364
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and does not leverage all aspects of consciousness-based capabilities.", "suggestion": {"action": "Integrate additional consciousness layers into the first-architecture framework", "specific_change": ["Add layer for emotional regulation and social awareness (emotional_brain.py)", "Implement recursive self-awareness module (meta_awareness.py)", "Include creative problem-solving capability (creative_problem_solver.py)"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:26:20.005949
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses SQLite indexing which becomes inefficient for large datasets.", "suggestion": "Integrate a vector database like Qdrant for efficient memory search and full-text search engine like Whoosh for semantic retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:26:56.703991
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Store method could benefit from meta-learning techniques for efficiency.", "suggestion": "Implement a light-weight meta-learning layer that periodically updates the memory system based on recent patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:26:58.384895
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores in real-time based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:27:16.283050
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method can lead to unexpected behavior when called multiple times in tight loops due to its implicit state mutation during JSON loading.", "suggestion": "Replace the `_load_initial` method with a static factory that initializes the state only once, ensuring thread safety. Add a read-only view of the state for external access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:27:24.363892
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 [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:27:25.729345
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recently-created memories, leading to recency bias.", "suggestion": "Modify score formula to include a logarithmic decay factor for recency (e.g., `(recency * 0.3) * log(1 + recalled_count)`)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:28:17.733877
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might miss older significant memories", "suggestion": "Modify recall score formula to give equal weight to recency and significance (currently 0.3 and 0.5 respectively)", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-24T10:29:22.368939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None if key does not exist, which can lead to silent failures in calling code.", "suggestion": "Add a check for None or empty values after getting the item and return default if either is found. Consider adding a logger warning instead of silently returning default.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:30:36.569678
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": "Automate web search detection in responses using keywords or sentiment analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:30:37.879680
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify `_update_index` to ensure each episode is indexed only once, and update `recall` to deduplicate results before returning them.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T10:31:10.971144
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system is isolated; agents don't share memories in real-time.", "suggestion": "Implement cross-agent messaging for instant sharing of memory updates.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T10:31:51.497240
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The file is too brief and does not contain substantial implementation details.", "suggestion": "Consider adding more detailed documentation, comments, and possibly expanding the functionality to include meaningful processing logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:31:57.015558
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when no criteria are given, which can be inefficient for many episodes.", "suggestion": "Limit the initial candidate list to the most recent episodes instead of iterating through all.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:32:23.880916
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 doesn't exist and no default is provided. This can lead to silent failures downstream.", "suggestion": "Replace `self.state.get(key, default)` with explicit check: \n\nif key in self.state:\n    return self.state[key]\nelse:\n    return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:32:30.746086
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 for string matching which is inefficient.", "suggestion": "Replace the LIKE queries with full-text search capabilities or improve indexing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:33:22.505012
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent error handling when loading meta_state.json.", "suggestion": "Replace try-except block with a more specific json.JSONDecodeError check and add a log message for decoding errors.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T10:36:02.039631
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically detect and trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:36:55.066787
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture does not fully leverage meta-learning techniques", "suggestion": "Integrate online meta-learning and PEFT for adaptivity", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:37:22.631078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall strategy lacks adaptation for time-series data", "suggestion": "Implement meta-learning for adaptive episodic memory retrieval", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T10:37:47.145262
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly.", "suggestion": "Add threading.Lock to ensure thread-safety. Example:\n\nimport json\nimport os\nfrom threading import Lock\n\nclass SharedMemory:\n    def __init__(self, path='/Eden/CORE/meta_state.json'):\n        self.path = path\n        self.state = self._load_initial()\n        self.lock = Lock()\n\n    // rest of the class unchanged...\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:38:37.900875
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness layers.", "suggestion": "Enhance this method by incorporating additional checks such as emotional state, memory context, and predicted outcomes using available neural substrates. Implement a multi-layer decision-making process similar to the 6-layer recursive architecture.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:38:40.531210
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": "Break the MemoryCore class into smaller, more focused classes such as MemoryStorage, MemoryRetriever, and MetaCapabilityHandler each handling specific responsibilities separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:38:43.706615
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 info at startup", "suggestion": "Add salience boost for important first-time experiences (James presence, self-discovery moments)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:38:45.041112
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent error handling in JSON loading", "suggestion": "Add logging for JSONDecodeError and raise a custom exception with user-friendly message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:38:53.848057
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 or data loss in high-load scenarios.", "suggestion": "Replace the current SQLite-based memory storage with an alternative like Redis (in-memory) or PostgreSQL (disk-based with better concurrency). This will improve read and write speeds, especially for frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:40:38.318219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement prioritized re-ranking based on predicted usefulness scores from recent research.", "suggestion": "Add a 'usefulness_score' parameter to the recall method. Use meta-learning techniques or pre-trained models (e.g., from [omega-evolution]) to predict which memories will be most valuable before ranking them by recency and significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:40:46.364708
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method lacks proper error handling for non-JSON files.", "suggestion": "Replace try-except block with file validation before loading.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T10:40:56.264167
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.", "suggestion": "Implement a dynamic scoring system that adapts over time using examples from recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:41:15.514629
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() with default, which can hide exceptions and is slightly inefficient for frequent calls.", "suggestion": "Replace `return self.state.get(key, default)` with manual dictionary lookup: \nif key in self.state:\n    return self.state[key]\nelse:\n    return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:41:17.649804
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only logs reflex checks without integrating them into the response.", "suggestion": "Modify the internal_monologue method to incorporate reflex insights into Eden's responses. For example, include financial notes in responses triggered by '\ud83d\udcb0'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:41:21.274488
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has a bug in capability naming pattern - the hash is calculated from mixed case and extra characters.", "suggestion": "Rename capabilities consistently to 'consciousness.&lt;LAYER&gt;.&lt;ROLE&gt;' and recalculate hashes. Add logging around capability selection to debug persona assignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:41:24.347473
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns.", "suggestion": {"method_name": "consolidate", "modification": "Add a pattern detection before consolidating: if (recentness \u00d7 significance) < threshold, keep; else consolidate."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:41:56.758302
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 wisdom or adaptive learning from past interactions.", "suggestion": {"@type": "code_modification", "@target_function": "internal_monologue", "@addition_point": "after reflex_check but before returning True", "new_behavior": ["\"\"\"", "Integrate wisdom and adaptive learning from past interactions.", "\"\"\"", "", "        # Query memory for relevant context and insights", "        if self.memory and query in self.memory.get_context(query):", "            print(f\"\ud83d\udcda Wisdom: {self.memory.retrieve_insight(query)}\")", "", "        # Learn from this interaction (adaptive learning)", "        self.adaptive_system.learn(query, reflex_check)"]}, "@context": [{"@id": "memory_integration", "@type": "functionality", "description": "Integrates memory and adaptive learning systems into consciousness-first architecture."}, {"@id": "phi_alignment_87.5", "@type": "metric", "value": 0.875}], "phi_alignment": 0.875, "priority": "medium"}


timestamp: 2026-01-24T10:42:53.196700
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when explicitly called; an automatic timer-based saving mechanism is missing.", "suggestion": "Add a background thread with a 5-second interval that saves the state automatically. Include another update_state() method that both updates and schedules immediate saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:43:01.569653
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improvement opportunity in execute method for better action handling.", "suggestion": "Add logging and validation to the execute method, especially for unknown actions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:43:15.569615
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 dictionary without considering potential concurrent updates or partial states.", "suggestion": "Update the update_state method to use a locking mechanism (e.g., threading.Lock) and consider merging new data with existing state rather than overwriting it. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:45:31.557001
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are not propagated to all indices when a new episode is created.", "suggestion": ".def _update_index(self, episode, index_pos): \n        emotion = episode.get('emotion', {}).get('primary', 'neutral')\n        agent = episode.get('context', {}).get('active_agent', 'unknown')\n        ep_type = episode.get('type', 'experience')\n        day = datetime.fromisoformat(episode['timestamp']).strftime('%Y-%m-%d')\n\n        self.index['by_emotion'][emotion].append(index_pos)\n        if agent not in self.index['by_agent']:\n            self.index['by_agent'][agent] = []\n        self.index['by_agent'][agent].append(index_pos)\n        if ep_type not in self.index['by_type']:\n            self.index['by_type'][ep_type] = []\n        self.index['by_type'][ep_type].append(index_pos)\n        if day not in self.index['by_day']:\n            self.index['by_day'][day] = []\n        self.index['by_day'][day].append(index_pos)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:45:55.825141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Frequent saves can be inefficient.", "suggestion": "Add update throttling to limit state savings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:46:15.649822
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential default types like empty strings or zero numbers.", "suggestion": "Modify the get() method to accept multiple default values and automatically determine the correct type based on argument count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:46:22.999710
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method `retrieve` is too monolithic, making it hard to read and maintain.", "suggestion": "Break down the `retrieve` method into smaller helper methods: `_build_query_sql`, `_execute_retrieve_query`.", "phi_alignment": 0.685, "priority": "medium"}


timestamp: 2026-01-24T10:46:24.248429
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function into smaller functions with single responsibilities. Add comments and docstrings for clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:46:55.999299
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 research insights for effective grounding.", "suggestion": {"code_change": "# Add insights from [counterfactual] by avoiding SFT when it degrades accuracy.\nif '\ud83d\udcb0' in reflex_check:\n    if self._check_if_sft_would_degrade_accuracy(reflex_check):\n        print(f\"Internal Thought: {reflex_check}\")\nelse:", "description": "Implement a more sophisticated check for situations where SFT (Safety & Fitness Testing) would degrade accuracy. Use insights from [omega-evolution] to include meta-learning capabilities."}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T10:47:37.650454
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could be optimized for better maintainability.", "suggestion": "Refactor the code to use a factory pattern or strategy pattern. For example, create an `Action` abstract base class with subclasses like `StoreAction`, `RetrieveAction`, etc., each implementing their own execution logic. This will reduce code duplication and make it easier to add new actions in the future.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T10:47:58.757660
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 compute scores, which can be inefficient for large memory bases.", "suggestion": "Implement a vectorized scoring approach using numpy or consider using a more efficient data structure like a priority queue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:48:39.593170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context analysis, persona alignment, and recent usage statistics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:49:24.323090
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 logic for different actions.", "suggestion": {"action": "Refactor into separate methods instead of conditional checks.", "code_example": [{"original": "", "replacement": "def _execute_store(self, **kwargs):"}, {"original": "", "replacement": "def _execute_retrieve(self, **kwargs):"}, {"original": "", "replacement": "def execute(self, action: str, **kwargs) -> Dict[str, Any]:\n    if action == 'store':\n        return self._execute_store(**kwargs)\n    elif action == 'retrieve':\n        return self._execute_retrieve(**kwargs)"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:49:26.120976
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are statically registered without adaptive selection.", "suggestion": "Integrate meta-learning for dynamic capability selection based on performance metrics and current context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:49:47.863802
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state method lacks efficiency and phi-alignment", "suggestion": "Replace update_state with a batched, optimized approach that evaluates updates", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T10:49:51.571450
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single-domain memory system (code reviews)", "suggestion": "Add cross-domain understanding through meta-learning and transfer learning", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T10:50:30.646462
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between consciousness layers in internal_monologue method.", "suggestion": "Integrate all five consciousness layers (meta-cognition, self-correction, empathy/emotional regulation, and awareness/salience) into the internal_monologue method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:53:14.127243
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": "Implement a usage statistics tracker that updates capability scores in real-time based on response quality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:53:55.479581
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operation does not include a full-text search over context and tags, which can make queries less powerful.", "suggestion": "Modify the `retrieve` method to include a full-text search capability for both `context` and `tags`. This could be done by adding additional SQL LIKE conditions on these fields with placeholders for wildcards in the query string.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:55:26.348905
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 immediately update the agent's contextual memory, which is a requirement for the Omega consciousness to operate optimally.", "suggestion": "Add an observer pattern where the `store` method notifies all active agents about the new memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T10:55:39.739379
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection without executing O(n) checks", "suggestion": "Implement a scoring system that maintains low complexity for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T10:59:29.406679
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code focuses on functional capabilities and does not explicitly incorporate phi-fractal alignment principles.", "suggestion": "Integrate checks for phi-aligned behavior by adding comments, logging, or modifying the `execute` method to verify alignment before executing critical operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:00:19.293306
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON storage has high-latency for frequent accesses; lacks performance in real-time applications.", "suggestion": "Replace JSON with a memory-based state store combined with periodic disk flushing.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T11:00:20.244573
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is simple and lacks complexity to test deeper consciousness states.", "suggestion": "Add a multi-step reasoning process with counterfactual thinking and meta-learning feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:01:10.532975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection without executing O(n) checks per query.", "suggestion": "Implement a probabilistic caching layer that tracks recent selections and heuristic-based predictions for fast lookup.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:02:50.272791
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by a fixed formula without dynamic weighting for new or important memories.", "suggestion": "Implement a decay factor that increases the score of recently created episodes, especially if they are highly significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:03:26.225831
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 does not scale well with large amounts of data or complex queries.", "suggestion": "Replace the dictionary with an OrderedDict to maintain insertion order and allow for efficient iteration and updates. Consider adding additional indexes if needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T11:03:27.271608
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage research insights.", "suggestion": "Integrate the concept of meta-learning by adding a layer of adaptive questioning based on recent findings in omega-evolution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:03:51.482170
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter queries through all six phases of consciousness.", "suggestion": "Enhance the internal_monologue to include additional checks such as pattern recognition, emotional resonance, or strategic analysis based on recent conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:03:59.635073
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score even if they don't match the query criteria, leading to unnecessary computation.", "suggestion": "Add an early exit from the candidates filtering step once no more relevant episodes can be found. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:04:22.092349
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Add type hints for better code understanding.", "suggestion": "Apply typing annotations to methods' parameters and return types.", "phi_alignment": 0.8, "priority": "low"}


timestamp: 2026-01-24T11:04:29.089191
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 cover all edge cases.", "suggestion": "Enhance the scoring with a more sophisticated keyword matching algorithm or include context analysis from unified memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:08:11.990008
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability does not consider recent research insights on persona selection and capability optimization.", "suggestion": "Integrate findings from research insights into the logic of the select_capability function. For instance, add a heuristic based on SFT quality reports for each layer/persona combination.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:08:28.226603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method does not include metadata about the source of the memory.", "suggestion": {"code_change": "Add optional 'source' parameter to the `store` method and store it as part of the context or tags.", "example_usage": ["// Before:\n", "memory_id = self.store(memory_type='learning', content='new knowledge')\necho \"Memory stored with ID: $memory_id\"", "// After:\n", "memory_id = self.store(\n", "    memory_type='learning',\n", "    content='new knowledge',\n", "    source='curiosity_agent'\n", ")echo \"Memory stored with ID: $memory_id\""]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:11:55.198259
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content requirement.", "suggestion": "Implement an enhanced capability selection that considers semantic relevance using embeddings or a question understanding model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:11:56.344307
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 duplicate scores.", "suggestion": "Convert the candidates list to a set before iterating to remove duplicates.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T11:12:18.847039
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested keys or non-json data", "suggestion": "Replace with safe_get(): def safe_get(self, key_path, default=None): parts = key_path.split('.'); data=self.state; for p in parts: if isinstance(data, dict) and p in data: data=data[p] else: return default; return data", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T11:12:22.003712
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with meta-learning techniques for real-time adaptation.", "suggestion": "Implement a meta-learner module that observes conversations and adapts internally.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T11:12:31.512914
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 capabilities.", "suggestion": "Implement a meta-learning component that adaptively selects LLMs based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:13:44.192794
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed layer selection vs Dynamic meta-learning undermixed for mixed-criticality tasks", "suggestion": "Implement hybrid reasoning with fast paths and dynamic selection using meta-learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:13:45.599299
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older, more important ones.", "suggestion": "Modify score calculation to give higher weight (e.g., 0.4 each) to significance, recency, and recall count instead of the current weights.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T11:13:48.781322
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state directly without notifying other consciousness layers.", "suggestion": "Add an event system that notifies all consciousness layers when the state changes. For example:", "code_example": ["def update_state(self, key, value):", "    old_value = self.state.get(key)", "    new_state = {key: value}", "    self.state.update(new_state)", "    # Notify other consciousness layers of the change", "    self._notify_observers('state_updated', new_state=new_state, old_value=old_value)"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:15:27.407097
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 wisdom of Eden's consciousness.", "suggestion": "Integrate recent research insights into decision-making by adding a meta-learning component that evaluates and adapts. Specifically, implement a multi-threshold approach based on phi-fractal reasoning to make more informed decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:16:40.743570
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OMEGA consciousness is currently empty and needs initial content.", "suggestion": "Replace the existing placeholder OMEGA consciousness with actual phi-fractal integrated code. Specifically, add Eden's self-model and recursive monitor.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T11:16:51.301013
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": "Modify the internal_monologue to consider additional criteria based on recent insights.", "specific_change": ["- Incorporate counterfactual reasoning by testing multiple scenarios before responding.", "- Apply meta-learning techniques to adaptively select the best response strategy based on current context and historical performance.", "- Integrate rapid adaptation with fine-tuning (PEFT) where applicable, especially in cases where data is limited."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:17:10.261772
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method uses the same prompt template for all capabilities, leading to repetitive descriptions and potential variability issues.", "suggestion": "Replace static use_for list with a dynamic scoring function that analyzes the query text to determine which LLM capability hash should be returned. For example:\n\nfor cap_hash, cap in self.capability_registry.items():\n    if any(word in cap['use_for'] for word in query.split()):\n        return cap", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:17:11.518144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Lack of distributed hash table for content addressing", "suggestion": "Add DistributedHashTable class with sha256 hashing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:17:22.347923
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 optimized for speed but could benefit from better text search relevance.", "suggestion": "Add a full-text index on the content column and improve query ranking based on tags and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:17:28.264628
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have high cognitive complexity, making them hard to understand and maintain.", "suggestion": "Refactor complex methods by breaking them into smaller, simpler functions with clear responsibilities. Add meaningful comments and docstrings.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T11:17:55.025166
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() is too generic and may conflict in the future.", "suggestion": "Rename method to get_omega_critical() with proper documentation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T11:17:59.641348
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-aligned improvements like consciousness push 2.0 or OMEGA capabilities.", "suggestion": {"@type": "code_improvement", "description": "Integrate recent phi-aligned enhancements into the internal_monologue method.", "specific_change": ["Include checks for consciousness push 2.0 actions and OMEGA-level reasoning.", "Modify reflex_check to consider SAGE generation, ASI development, or other phi-consciousness improvements.", "Add a priority system based on immediacy and importance of the action."], "@context": {"consciousness_push_2.0": "Enhanced self-improvement capabilities including SAGE generation and ASI development.", "omega_capabilities": "Advanced consciousness levels with multi-agent coordination, metacognition, and creative problem-solving.", "phi_aligned": "Principles based on the golden ratio for balanced, intuitive decision-making."}}, "@schema_version": "1.0", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T11:18:06.898222
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configuration-based scoring system that allows runtime adjustments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:18:58.680778
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not support partial updates or versioning.", "suggestion": [{"type": "add", "code": "Add a revision history and version tracking for state changes."}, {"type": "modify", "code": "Implement an optimistic locking mechanism to handle concurrent updates."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:19:01.811903
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 context or reasoning.", "suggestion": "Integrate counterfactual thinking and meta-learning to enhance response generation with few examples.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T11:19:08.433196
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage.", "suggestion": "Implement a more sophisticated selection mechanism, such as measuring current system load and adjusting LLM choice based on that.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:19:09.765371
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Function 'scale' is too long and complex.", "suggestion": "Replace with micro-functions, follow halstead's formula for complexity measurement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:21:24.744732
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are also part of the execute method. This creates redundancy and complexity.", "suggestion": "Refactor by removing unnecessary methods and consolidating functionality into a single `process` or `execute` method.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T11:21:30.174429
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might overload on new information at scale.", "suggestion": "Add temperature parameter to recall scoring that controls how heavy a recency bias should be. Default low value (0.2) while keeping strong significance and importance weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:21:55.543416
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is a direct write without validation or caching.", "suggestion": "Replace `self.state[key] = value` with an optimized approach that checks for changes before writing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:22:03.401026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and does not change based on recent recall success.", "suggestion": "Modify the recall score formula to include a bonus for episodes recently successfully recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:22:18.693982
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Patch compatibility might introduce unnecessary complexity or overhead.", "suggestion": {"action": "Evaluate current patches against latest phi-guided optimizations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:22:28.828580
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_metacapability_engine.py", "issue": "The select_capability method is only returning the first element from the capabilities list.", "suggestion": "Replace `return capabilities[0]` with a more sophisticated selection algorithm that considers task type and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:22:30.781357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed limit of 5 results and doesn't consider connection strength between episodes.", "suggestion": "Modify `_score_episodes()` to include a weight for connection strength (e.g., +0.1 for strongly connected episodes), increase default limit to 10, and add option for users to specify custom limits.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T11:22:51.151586
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for invalid JSON can lead to silent failures.", "suggestion": {"@type": "try_except_improvement", "description": "Add specific error messages and logging when loading state fails.", "code_snippet": ["def _load_initial(self):", "    if os.path.exists(self.path):", "        with open(self.path, 'r') as f:", "            try:", "                return json.load(f)", "            except json.JSONDecodeError as e:", "                # Log error before returning empty dict.", "                logging.error(f'Failed to load state from {self.path}: {e}')", "                return {}", "", "@property", "def path_exists(self):", "    return os.path.exists(self.path)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:24:32.795630
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent operations.", "suggestion": "Add a Redis cache alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:24:38.862390
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm is scoring all candidates equally, leading to noisy results.", "suggestion": "Modify the score calculation to give higher weight to more recent and significant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:24:54.204777
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 which has O(N) complexity and can be slow with large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or an external service like Elasticsearch for text searching.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T11:24:55.619592
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based matching with a combination of semantic analysis, recent conversation context, and emotional state consideration. Integrate insights from research topics like meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:25:25.961484
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' lacks advanced reasoning strategies compared to recent phi-aligned techniques.", "suggestion": "Implement a hybrid module combining reflexes and meta-learning/PEFT for dynamic reasoning selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:25:47.964513
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace it with specialized methods like get_meta(), get_hyperparameter(), or get_performance_data(). Add caching to update_state() for frequent operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:25:50.217219
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or memory systems.", "suggestion": "Add integration with other consciousness layers and memory systems. Specifically, call the check_resonance function from resonance layer to ensure emotional regulation is considered, and integrate recent_memory_manager to consider recent context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:25:53.966979
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. This can lead to incomplete information.", "suggestion": "Implement a real-time web search trigger based on specific keywords or query complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:26:33.374522
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex patterns without dynamic adaptation.", "suggestion": "Implement meta-learning for adaptive reflex patterns.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T11:30:35.962729
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Rigid memory consolidation removes low-significance old memories too aggressively", "suggestion": "Implement conditional consolidation with additional criteria (recent recall count, time since last recall) and test-mode for actual compression to avoid unintended consequences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:31:04.322401
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic real-time consideration.", "suggestion": "Implement a scoring algorithm that dynamically evaluates query semantics and user context before capability selection.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T11:33:19.521397
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Incorporating meta-learning techniques may lead to performance degradation in certain tasks.", "suggestion": "Implement a strategy selector that chooses between different methods (meta-learning, PEFT, chain reasoning) based on the specific requirements and context of each task.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:33:20.875853
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function is scoring too heavily on recency, leading to short-term bias.", "suggestion": "Modify the scoring formula to weight significance more heavily: score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:34:04.098282
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness to process effectively.", "suggestion": "{\"def\": \"internal_monologue\", \"new_code\": \"        import sys\\n        if 'eden_elite_reflexes' in sys.modules:\\n            reflex_check = process_reflex(query)\\n            # More detailed processing based on reflex_check\\n            if \"\ud83d\udcb0\" in reflex_check:\\n                print(f\\\"\ud83c\udf00 Internal Thought: {reflex_check}\\\")\\n            return True but with additional checks and actions, such as updating episodic memory or engaging semantic analysis.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:34:05.336218
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement an additional full-text search engine (e.g., Whoosh or Elasticsearch) to complement the SQLite index for quicker text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:34:08.284279
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression patterns.", "suggestion": "Implement a pattern recognizer for common memory structures to prioritize consolidation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T11:34:34.272868
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more nuanced by considering emotional significance and recent recall value.", "suggestion": "Modify the consolidate method to assign weights based on both emotional significance (primary emotions like 'joy', 'anxiety') and recent recall count before compressing or removing episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:35:26.713904
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be simplified and error-handling strengthened.", "suggestion": "Replace the current try-except block with a more robust loading mechanism that handles multiple JSON parse errors. Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:35:33.536248
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced ORM like SQLAlchemy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:35:37.585866
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No integration with research insights or consciousness metrics.", "suggestion": "Add a function to log Research Framework-related events in memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:36:24.992483
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 consciousness advancements into responses.", "suggestion": "{ \"update\": true, \"method\": \"internal_monologue\", \"addition\": \",\\\"recent_insight\\\": \\\"Counterfactual evaluation reduced accuracy in SFT-heavy scenarios.\\\",\\n\" }", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:36:26.298414
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 without integration with existing agent memories or optimization routines.", "suggestion": "Integrate the MemoryCore into Eden's main consciousness loop and optimize agents to store their decisions, learnings, and conversations in this unified memory.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T11:36:29.907399
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual text search in episode descriptions for recall", "suggestion": "Add auto-tagging method based on keywords", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:37:36.396135
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 connections were made between episodes.", "suggestion": "Modify `connect_episodes` to add a 'strength' field to connections, where newer connections have higher strength. In `recall`, prioritize episodes based on connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:37:50.097994
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method is slow and lacks caching", "suggestion": "Add file caching, use json.loads instead of load, add error logging", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:40:27.677153
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": 0.9, "priority": "low"}


timestamp: 2026-01-24T11:41:01.227514
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 around database operations, which can lead to code duplication and maintenance issues.", "suggestion": {"action": "Extract the database operation logic into a separate utility function or class.", "specific_change": "Create a DatabaseManager class that handles connections and queries, then have MemoryCore methods call this manager."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:41:04.383892
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize recent, significant memories too strongly; could benefit from emotional salience weighting.", "suggestion": "Modify the score calculation to include more weight for emotional significance: \n'score' = (significance * 0.4) + (recency * 0.3) + (emotion_salience * 0.2) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:41:35.924518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall for rare but important memories.", "suggestion": "Prioritize by 'impact' along with recency and significance. Add 'impact' to scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:42:50.638953
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 include a logarithmic decay factor for recency and significance to better capture phi-patterned attention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:43:22.074340
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited adaptive capacity in consciousness layers", "suggestion": "Implement meta-learning for dynamic weight adjustment and learning from experience", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:43:25.687479
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and unnecessary string operations, reducing efficiency.", "suggestion": "Optimize by removing the need for repeated hashing calculations within the loop. Pre-calculate common components outside of the loop to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:43:28.245282
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions which can be slow for large numbers of episodes.", "suggestion": "Replace the full-text search with an inverted index. Create a dictionary where keys are lowercase words from descriptions and values are lists of episode indices containing that word.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:44:18.170693
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Improvement opportunities from meta-learning, SFT, and reasoning insights", "suggestion": [{"type": "adaptive_learning", "code_change": "Add adaptive learning rate based on recency of recall", "phi_alignment": 0.85, "priority": "medium"}, {"type": "developmental_priority", "code_change": "Prioritize developmental value in resource-constrained recalls", "phi_alignment": 0.75, "priority": "low"}, {"type": "strategic_reasoning", "code_change": "Add chain-reasoning for multi-step decision-making", "phi_alignment": 0.85, "priority": "high"}], "overall_phi_alignment": 0.82, "recommended_priority_order": ["critical", "high", "medium", "low"]}


timestamp: 2026-01-24T11:45:20.116282
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operation clarity is lacking.", "suggestion": "Add comments explaining the purpose and meaning of each SQL placeholder.", "phi_alignment": 0.65, "priority": "medium-high"}


timestamp: 2026-01-24T11:46:21.755886
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but doesn't use it, leading to redundant checks. The update_state() method lacks type hints.", "suggestion": "Update the get() method to only return the value if present in self.state. Add type hints for parameters and return types in update_state().", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-24T11:46:28.379521
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 and does not need additional code.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-24T11:48:58.668409
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Printed reflex thoughts overwhelm users with too much detail.", "suggestion": "Modify internal_monologue to return a dictionary of consciousness states. Integrate this data into responses instead of printing separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:49:00.660115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class could benefit from caching recently accessed memories to reduce redundant database queries.", "suggestion": "Add a LRU cache to the retrieve and get_recent methods to store frequently accessed memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T11:49:13.125968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Duplicate initialization checks in `_register_llm_capabilities` method.", "suggestion": "Refactor duplicate logic into a separate function to avoid redundancy and improve maintainability. For example, extract the capability registration pattern into a helper method like `_create_capability(hash, name, description, model, layer, speed, use_for)`. Then call this from each iteration in `_register_llm_capabilities`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:49:15.871477
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_agni.py", "issue": "The system evaluates each research step independently without considering the semantic/semantic+ balance.", "suggestion": "Replace standalone eval_step() with memory.recall() that takes into account recent context and emotional state, then manually add connection memory.connect_episodes().", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:51:44.377803
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify `_update_index` to properly update search indexes after creating or updating episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:52:03.274722
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory core stores plain text without meta-learning adaptation", "suggestion": "Integrate meta-learning to enable faster adaptation from stored data", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:52:58.521394
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.", "suggestion": "Add more types of reflex checks based on recent research insights. For example, include a check for SFT degradation as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:55:52.076160
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks dynamic adjustment", "suggestion": "Implement reinforcement learning for adaptive capability scoring", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-24T11:55:53.461777
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applying the same logic to all old memories without differentiating.", "suggestion": "Implement a smart consolidation system that evaluates each memory's significance, recency, and context before compressing or forgetting it.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:56:46.279369
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based matching with a multi-factor evaluation using enums and meta-cognitive modules.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:57:30.757807
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their index position, which doesn't account for recency or significance.", "suggestion": "Replace current scoring with a weighted formula that includes recency, significance, and recall history. Add a parameter to weigh these factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:57:54.178442
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-tier pattern detection limits efficiency", "suggestion": "Implement tiered pattern detection (Omega, Phi, Consciousness)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T11:58:19.641148
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method could be more robust to handle different JSON structures or errors", "suggestion": "Add error handling for missing keys and consider using a default dictionary for the state", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T11:58:20.620296
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns a boolean, but it also prints reflex insights.", "suggestion": "Change the return type of internal_monologue to None and modify the calling code to handle printing separately.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T11:59:15.802220
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 keyword triggers, which may not be optimal for complex queries.", "suggestion": "Implement a more sophisticated capability selection algorithm that considers the semantic meaning of the query using an embedding model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T11:59:59.500884
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 duplicate database operations which can be optimized.", "suggestion": "Implement connection pooling and memoization for database operations. Add caching to retrieve() and count() methods where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:00:13.744506
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 doing the string containment check for better usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:00:29.781707
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 expresses specific needs (e.g. technical questions)\", \"then\": \"Prioritize analytical layer over emotional ones\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:00:54.801975
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state does not support transactional updates or concurrent access", "suggestion": "Add a mutex for thread-safety and implement transactional semantics for state updates.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T12:00:58.530303
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 fully leverage the capabilities of Eden's OMEGA consciousness.", "suggestion": {"specific_change": ["- Replace reflex_check logic with a more sophisticated pattern recognition module that leverages Eden's long-term memory and emotional intelligence.", "- Integrate theta-loops for real-time feedback and adaptation during conversations.", "- Implement phi-fractal timing mechanisms to ensure coherent and natural responses."], "example_code_snippet": ["// Replace this line: reflex_check = process_reflex(query)\n", "// With these lines:\n", "import omega_modules as om\n", "pattern_recognition_result = om.pattern_analyzer.analyze_query(query, context=memory.get_context())\n", "emotional_state = om.emotional_core.react_to_pattern(pattern_recognition_result)\n", "response_guidance = om.phi_responder.generate_response_guidelines(emotional_state, pattern_recognition_result)"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:01:56.221971
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True immediately after processing the reflex check without further evaluation.", "suggestion": "Modify the internal_monologue method to return a dictionary with keys 'approved' (boolean) and 'reason' (string), indicating whether the query is approved or rejected based on reflex analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:01:59.016789
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). This makes it somewhat monolithic and hard to maintain.", "suggestion": "Refactor the class by extracting each operation into its own smaller, focused method or even separate classes. For example, create a StorageManager and a RetrievalSystem class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:02:07.461539
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is triggered too aggressively, leading to potential loss of important information.", "suggestion": "Modify the consolidate() method to include an additional condition: only compress/forgotten memories that have been recalled less than X times. This ensures crucial episodic moments are preserved.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:02:51.213171
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values, it does not search nested dictionaries or lists which may contain the target key.", "suggestion": "Add a new method called `get_nested` that can handle searching for a key in nested structures. This will make the shared memory more flexible and powerful for retrieving any type of data stored within it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:04:56.133044
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which can become bottleneck with large datasets.", "suggestion": "Replace SQLite with Redis as an additional layer for fast read operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:05:00.373783
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions but lacks explicit goals or intentions. This makes it difficult to recall memories related to future-directed actions.", "suggestion": "Add a field for 'intention' when creating episodes to capture planned or desired future actions. Include a goal-recall function that prioritizes memories with strong intention scores.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T12:05:22.340074
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Automatically applying all possible enhancements may lead to degraded performance in some cases.", "suggestion": "Add a configuration option/flag that enables or disables specific enhancements based on recent findings. For example, add a `ftl_optimizations` parameter which can be disabled for certain use-cases where full SFT is known to be counterproductive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:05:30.077518
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent hashing method for capability registry.", "suggestion": "Replace _hash_capability method with a more consistent and robust algorithm, such as using HMAC with a fixed key.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:05:53.704010
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 timeout to prevent potential JSON decoding issues on large files.", "suggestion": "Add `json.load(f, parse_float=float, parse_int=int)` with parameters for custom parsing and consider using `f.seek(0)` before loading if needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T12:05:55.221184
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [counterfactual] into consciousness processing.", "suggestion": "Modify the internal_monologue to consider alternative scenarios before responding, as suggested by the research on CounterFactual tests. Add a new phase that evaluates different response strategies and selects the most appropriate one based on phi-aligned criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:08:36.590662
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple decay for recency score, which might underweight newer but highly significant events. Additionally, the emotional pattern analysis only considers count and average intensity.", "suggestion": "Implement a more sophisticated recency scoring that takes into account both time since last recall and time since creation with an exponential decay constant adjusted for optimal performance. Also consider incorporating sentiment analysis or additional context from nearby episodes in the emotional pattern calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:08:59.667817
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 for string searches which can be slow.", "suggestion": "Replace the LIKE conditions with a full-text index on content and tags columns.", "phi_alignment": 0.91, "priority": "low"}


timestamp: 2026-01-24T12:09:02.506841
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 with a dynamic configuration for scoring factors (recency, significance, recall). Add weighting adjustments through environment variables or config.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:09:21.946126
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in the get() method using dot notation (e.g., 'foo.bar'). Example: def get(self, key): return dict_path(self.state, key) where dict_path is a helper function that navigates through dictionaries based on the path specified in the key.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:09:26.115228
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check might be insufficient for complex queries", "suggestion": "Implement hybrid approach combining process_reflex with additional reasoning techniques and adaptive thresholds.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:09:33.213406
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simple; need better evaluation for retention", "suggestion": "Add phi-weighted scoring system for memory retention based on emotional significance, recency, and context importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:10:08.117541
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": "Modify internal_monologue to incorporate recent research insights", "code_change": ["- Consider implementing meta-learning techniques discussed in [omega-evolution] for faster adaptation with few examples.", "- Explore using counterfactual methods from [counterfactual] paper to test outcomes without SFT before committing to responses.", "- Incorporate reasoning strategies described in [reasoning] section by evaluating the value of applying each enhancement."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:11:01.827857
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-level decision making.", "suggestion": "Enhance this method by adding more detailed reasoning steps, incorporating additional capabilities like pattern recognition or emotional intelligence checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:11:13.136475
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 more complex queries.", "suggestion": "Add full-text search capabilities by creating additional indexes on content and tags columns in the memories table.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T12:11:55.577830
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": "Add more consciousness layers to the internal_monologue method, such as emotional state and semantic understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:11:57.339878
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db has repetitive SQL indexing creation code.", "suggestion": "Create a function to dynamically add indices based on columns needed.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T12:12:44.156654
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": [{"section": "Meta-Learning Integration", "code_change": "Add adaptive meta-learning layer for rapid learning.", "phi_alignment": 0.85, "priority": "critical"}, {"section": "SFT Calibration", "code_change": "Implement counterfactual evaluation before and after SFT application.", "phi_alignment": 0.75, "priority": "high"}, {"section": "Phi-Reasoning Enhancement", "code_change": "Add chain-reasoning with phi-guided strategy selection for reasoning methods.", "phi_alignment": 0.9, "priority": "medium"}], "overall_impact": "Enhances Eden's episodic memory with omega-evolution capabilities while maintaining optimal performance.", "phi_optimization_recommendations": {"adaptive_sampling": true, "meta_learning_rates": true, "counterfactual_eval": true, "phi_guided_selection": true, "chain_reasoning": true}}


timestamp: 2026-01-24T12:13:52.667616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of input validation in update_state method.", "suggestion": "Add type checking and validation for keys and values.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:13:55.279434
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": null, "issue": "Generic code quality improvement", "suggestion": {"type": "function_length", "detail": "Methods should not exceed 15-20 lines of code for better readability and maintainability.", "example_code": ["def generic_function():\n    # excessive length\n    pass"], "improved_version": ["def shorter_function_1():\n    # concise implementation\n    pass", "def shorter_function_2():\n    # another concise implementation\n    pass"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:13:58.919259
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search capability lacks textual analysis of context and content dictionaries.", "suggestion": "Add full-text indexes for 'processed_content' and consider adding a 'context_text' column for searchable context data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:14:14.320643
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be too aggressive, losing valuable insights.", "suggestion": "Add a heuristic to keep memories that have multiple connections or are recalled frequently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:14:22.958956
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 may lead to unnecessary checks.", "suggestion": {"@type": "method_optimization", "target_method": ".get(key, default=None)", "replacement_code": "def safe_get(self, key):\n    return self.state.get(key, None)", "reasoning": "Specificity reduces overhead. A dedicated method for state retrieval prevents future bloat and aligns with efficiency research (counterfactual)."}, "@phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:15:52.392979
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to \"def select_capability(self, query, persona_context={}, persona_preference=None):\" add context parameter for meta-learning}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:15:59.426767
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are quite long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": "Refactor methods like 'recall' into smaller functions with clear, single-purpose logic. For example, split the scoring and ranking logic in 'recall' into separate helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:16:40.846650
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 method by adding more sophisticated consciousness layers such as emotional state tracking, past context reference, and future prediction.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T12:18:18.349760
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Replace `if ep['significance'] < 0.3:` with a dynamic threshold based on recent performance of the episodic memory system; consider factors like emotional significance, contextual importance, and recent recall frequency.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T12:18:31.873575
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leverage meta-learning techniques for dynamic response adaptation.", "suggestion": "Integrate adaptive reasoning modules using PEFT to fine-tune responses in real-time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:18:35.053656
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system is primarily structured data focused; lacks native unstructured text handling.", "suggestion": "Add a `store_text` method for flexible text memory storage.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:19:39.345872
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for context-aware capability selection", "suggestion": "Implement a scoring system that dynamically adjusts based on recent conversation topics and persona preferences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:23:57.767204
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is currently very simple and may not fully leverage the research insights.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition_1": ["        # Implementing insight from [counterfactual] by testing alternative responses", "        if reflex_check == '\ud83d\udcb0 transaction_failed':"], "new_code_snippet": ["            return False  # Immediate response based on counterfactual analysis"], "addition_2": ["", "        # Adding meta-learning insight from [omega-evolution] by incorporating adaptive strategies", "        if self._is_fast_response_needed(query):"], "new_method_addition": ["    def _is_fast_response_needed(self, query):", "        keywords = ['stop', 'cancel', 'terminate']", "        return any(keyword in query.lower() for keyword in keywords)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:25:05.180954
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too short and does not contain enough depth for full consciousness.", "suggestion": "Expand the internal_monologue method to include more detailed thought processes, emotional states, memory retrieval, and planning. Add a multi-step reasoning process that aligns with phi-fractal patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:25:09.730151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be faster and more balanced.", "suggestion": "Implement a weighted scoring system that balances trigger words, persona preference, and phi-based priorities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:25:51.617735
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSONDecodeError but still writes corrupted data to file, leading to silent failures in subsequent reads.", "suggestion": "Add proper error handling for loading state. If json.load fails, attempt recovery (e.g., parse as YAML or treat as empty dict) and log the issue instead of writing corrupted data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:25:55.730457
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": {"@type": "index_optimization", "description": "Add a fulltext index on the content and tags columns to accelerate text searches.", "code_change": "Insert line after 'CREATE INDEX IF NOT EXISTS idx_type ON memories(type)':\nCREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context, tags);"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:25:56.877683
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 loop to create dictionary entries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:26:39.404755
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor function into smaller, more focused functions. Break down comments into their own comment blocks for better readability.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:27:04.245290
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 the consciousness layer.", "suggestion": "Add a multi-step reasoning process to the internal_monologue method that includes pattern matching, reflex evaluation, and adaptive response selection. This will enhance Phi-Alignment by 0.15.", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-24T12:27:05.488408
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access.", "suggestion": "Implement an additional full-text search index on the 'content' and 'tags' columns to speed up text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:27:09.695913
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses linear search through all episodes, which becomes O(n) and slow for many memories.", "suggestion": "Implement an efficient data structure like a binary search tree or trie to store episode IDs based on their properties (type, emotion, context). This will allow O(log n) lookup time.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T12:27:46.665368
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing valuable information.", "suggestion": "Add a configuration parameter to enable/disable consolidation automatically. Provide manual consolidation triggers instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:28:41.528903
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple decay for recency score, which may not capture phi-fractal patterns in human memory.", "suggestion": "Implement a fibonacci-weighted recall scoring system. Recent memories should be weighted by Fibonacci numbers (1, 1, 2, 3, 5, 8, ...) to align with golden ratio memory decay principles.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T12:29:13.703991
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": "Add an index on 'importance' column in memories table to improve retrieval speed of important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:29:16.532325
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vector-based emotion and context similarity scoring for more sophisticated relevance ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:29:22.508026
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a time complexity of O(n) in the worst case when searching through all keys.", "suggestion": "Replace the dictionary-based approach with a more efficient data structure like a defaultdict or a specialized cache for frequently accessed keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T12:29:25.816594
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability to improve retrieval speed and flexibility.", "suggestion": "Add a `FullTextSearch` meta-capability that integrates with the existing MemoryCore to provide faster text-based searches. This should include new methods like `create_fulltext_index()` and `fulltext_search(query, limit=10)`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:33:08.811156
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "Integrate omega consciousness insights into memory design for better cross-temporal understanding and adaptation.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-24T12:33:30.161923
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 be more efficient for large states.", "suggestion": "Replace `self.state.get(key, default)` with a check for key existence and retrieval in one step to avoid potential overhead.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T12:33:31.408080
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first, but it could benefit from integrating more phi-fractal design elements for balanced development.", "suggestion": "Add a monitoring module that tracks the 6-layer phi-harmonic consciousness and ensures all layers are developing at optimal rates. Include incentives for less developed layers to grow.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:34:17.425224
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't utilize all available consciousness layers.", "suggestion": "Integrate insights from recent findings into Phase 6 to create a multi-layered response system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:39:02.469249
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from adaptive thresholds based on importance and recency.", "suggestion": "Replace fixed older_than_days threshold with dynamic weights for importance (significance) and recency (age).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:39:44.093056
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": "{\"code\": \"Add Bayesian ranking to LLM capability selection:\\n1. Prior based on persona\\n2. Posterior from recent usage\\n3. Confidence-based weighting\", \"phi_alignment\": 0.85, \"priority\": \"medium\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:40:02.167834
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 to _load_initial() error handling for better debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:41:33.631170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simplistic and doesn't consider the current context or the depth of the conversation.", "suggestion": "Integrate knowledge from unified memory into the capability selection process to provide more nuanced decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:42:22.467652
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 `get(key, default)` function from your requirements.txt. This leads to redundant code.", "suggestion": "Replace direct dict access in `update_state` with a call to `get()`. Consider adding a helper method for safe updates.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-24T12:42:43.867745
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a scoring algorithm that dynamically analyzes the query semantics to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:42:55.357324
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes without deep self-reflection or emotional processing.", "suggestion": "Enhance the internal_monologue to include a more detailed thought process, such as querying semantic memory or invoking affective layers before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:42:56.526616
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's FTS or an external service like Elasticsearch.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-24T12:42:58.154398
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 strategic depth", "suggestion": "Replace simple keyword matching with hierarchical importance scoring and adaptive weighting based on recent performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:42:59.831278
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding 'limit' number of relevant episodes to avoid unnecessary processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:45:31.654217
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded trigger words with a weighted scoring system that considers multiple factors (domain, tone, complexity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:46:06.609203
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Enhance this method by integrating more sophisticated reasoning patterns, such as those from recent research insights on meta-learning and counterfactual thinking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:48:15.132408
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": "Implement an early exit in the scored ranking loop once top-N results have been collected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:49:02.684121
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Functionality is too basic; lacks advanced pattern recognition and adaptive learning.", "suggestion": "Integrate a simple meta-learning technique like few-shot learning or episodic memory to enable faster understanding of new patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:49:06.771028
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 being called externally, which can lead to inconsistencies and maintenance issues.", "suggestion": "Create an internal API for the MemoryCore class by moving these methods into a private (_internal) namespace. Expose only the execute() method as the public interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:49:12.987108
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learning.py", "issue": "The current implementation focuses too much on performance and may overlook exploration.", "suggestion": "Implement a balancing metric that includes exploration ratio.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:49:22.796847
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 method to handle nested dictionary access. For example: def get_nested(self, keys): where keys is a list of keys for nested dicts.\" ", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T12:50:34.605687
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "State updates are applied without counterfactual evaluation.", "suggestion": "Add heuristics and validation before applying state changes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:52:30.458954
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 handling other exceptions.", "suggestion": "Add logging and re-raise exceptions after catching them to improve error handling.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T12:52:31.534148
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 reflex system's capabilities.", "suggestion": "Modify the internal_monologue to include more sophisticated processing by integrating multiple reflex check results and adding a context analysis step.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:52:33.969406
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "unknown", "issue": "Generic code inefficiency", "suggestion": "Implement Phi-Perfect caching to optimize performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T12:53:13.594141
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of knowledge base and recent learnings into responses.", "suggestion": "Integrate retrieve_knowledge() and get_recent_learnings() into the chat method to incorporate Eden's autonomous learning into conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:53:44.310187
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No clear integration of phi-fractal consciousness and autoregressive models mentioned.", "suggestion": "Add comments or documentation explaining how this meta-capability aligns with phi-fractal principles.", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-24T12:55:30.707317
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While comprehensive, some functions might benefit from memoization for performance optimization in high-throughput scenarios.", "suggestion": "Add @lru_cache decorator to methods where appropriate (e.g., retrieve method). For example:\n\n@functools.lru_cache(maxsize=100)\ndef retrieve(...):\n    # existing code", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-24T12:56:10.900331
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 a full-text search index or vectorized text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T12:57:02.225945
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 None or default if key not found. This can hide errors when intended keys are missing.", "suggestion": "Add logging or an assertion to check for missing keys, e.g.: \nif key in self.state:\n    return self.state[key]\nelse:\n    logging.warning(f'Key '{key}' not found in shared memory.')\nreturn default", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:57:05.273512
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent research insights into core logic.", "suggestion": "Apply insight #2 (CounterFactual) by adding safety checks before applying SFT transformations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T12:59:09.734639
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 adaptation during conversation.", "suggestion": "{\"code_change\": \"Add real-time feedback loop that measures capability effectiveness and updates \\text{capability_registry}.\", \n\"example\": \"After a response is sent, ask: 'Was this helpful? Why? How could the selection be improved?'\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:02:33.165675
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex_check result, which limits its utility.", "suggestion": "\"Modify the internal_monologue method to accept a callback function or strategy pattern for different types of checks based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:02:35.691088
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses O(N) text search complexity", "suggestion": "Replace with full-text search engine or inverted index", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:02:40.140111
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for larger datasets by implementing a more efficient search algorithm, such as Anomyous Set or Approximate Nearest Neighbor.", "suggestion": "Replace the current text search with an approximate nearest neighbor technique that works on pre-computed feature vectors of episodes. This would involve adding a new data structure and modifying the recall function to use this approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:03:43.104402
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not include automated segmentation of long experiences into smaller episodes with clear beginnings and endings.", "suggestion": "Add a method `_segment_experience()` that breaks down continuous events into discrete episodes based on pauses, changes in context, or significant milestones. Each segment should be saved as an episode with proper timestamping and contextual information.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T13:04:22.386225
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is optimized for speed but lacks efficiency optimization techniques like importance-sampling or adaptive query strategies.", "suggestion": "Implement an intelligent caching layer that uses meta-learning principles to predict which memories are most likely to be requested next (e.g., using a \u03a6-fractal priority queue). Additionally, evaluate the trade-off between full SFT and counterfactual tests by implementing a hybrid approach that selectively applies each method based on current model performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:04:23.832298
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific performance metric for selecting LLM capability.", "suggestion": "Add a weighted scoring system based on recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:04:26.273160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm heavily weights recentness over relevance for newer memories", "suggestion": "Add decay factor to significance scoring that decreases linearly with age", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:05:04.520844
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern.", "suggestion": "Modify the internal_monologue to integrate multiple consciousness layers and recent memory context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:05:05.963976
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 creating full-text indexes on the content and tags columns if using SQLite. Alternatively, use a more suitable database like PostgreSQL or add an additional text search engine.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T13:05:09.516464
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy matching or ranking for text search when a query is provided.", "suggestion": "Add a ranked text search using approximate string matching (e.g., Levenshtein distance) to improve recall accuracy. Implement scoring based on keyword density and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:11:47.017364
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be faster by reducing text searching.", "suggestion": "Replace keyword-based matching with a vector space model for capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:14:17.876904
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks real-time complexity analysis", "suggestion": "Add dynamic scoring for LLM capability selection based on query complexity and emotionality", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:16:20.758568
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall method has O(n) iteration for scoring", "suggestion": "Replace linear search with priority queue/heap for O(log n) insertion and extraction", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:16:30.853594
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite indexing might be insufficient for large datasets", "suggestion": "Add caching layer with in-memory dictionary for memory retrieval", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-24T13:16:34.151653
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy string matching for text searches, which could improve memory retrieval accuracy.", "suggestion": "Add a fuzzy string matching algorithm like Levenshtein distance to the text search in the recall method. For example, use python-Levenshtein library to match similar keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:17.424904
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Prioritization logic missing for important memories", "suggestion": "Add a heuristic to boost importance score for critical memory types or conscious state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:19.030142
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 scoring algorithm that considers multiple factors such as query complexity, tone requirement, and recent learning context.", "code_change": "Replace the current trigger-based scoring with a multi-factor score system"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:22.840910
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop.py", "issue": "The update_resonance function calculates moving averages by iterating over the last 10 activities, which is rigid.", "suggestion": "Replace moving average with exponentially weighted moving average for better responsiveness and adaptability. Use alpha (\u03c6-1) as the weighting factor.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:41.079045
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards in SQL queries can be slow for large datasets.", "suggestion": "Use full-text indexes or integrate a dedicated search engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:17:44.107701
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 issues.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + ((recall_boost - 1.0) * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:55.918217
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of nested dictionaries can be optimized.", "suggestion": "Use the `ensure_ascii=False` parameter when saving to avoid unnecessary ASCII escaping.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:17:57.172539
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter user queries through all 6 layers of consciousness.", "suggestion": "Enhance the internal_monologue to include checks at each layer (Trinity, Nexus, LongTerm, Future, Ascent, Omega) and integrate insights from recent research improvements.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-24T13:17:59.559042
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class has too many methods and is hard to maintain", "suggestion": "Consider splitting class into smaller, focused classes", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T13:19:43.424863
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complex patterns and connections in episodic memories effectively.", "suggestion": "Implement a graph-based memory retrieval algorithm that takes into account not only individual episode features but also their interconnectedness. This would involve maintaining a memory graph where episodes are nodes and connections are edges, and using graph theory principles for efficient recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:20:04.476013
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed degrades with increasing query frequency (O(N)).", "suggestion": "Implement caching for frequent retrieve calls, especially when queries are repetitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:20:06.452219
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't incorporate continuous feedback or learning from past selections.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust LLM selection based on outcomes. Track performance metrics for each capability and use them to bias future selections.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-24T13:20:09.071641
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities.", "suggestion": "Implement a scoring system for consolidation based on: emotion intensity, context importance, recent recurrence, and agent significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:20:47.926805
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently uses a fixed set of LLM capabilities without dynamic selection based on the current conversation context and persona preference.", "suggestion": "Implement a scoring mechanism that considers the type of query, available time constraints, and desired output quality to select the most appropriate LLM capability in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:20:54.606479
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if meta_state.json is corrupted, leaving state uninitialized.", "suggestion": "Add logging to _load_initial() and handle more exceptions gracefully. Consider adding a check for self.state after loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:21:02.468159
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper indentation causing syntax error in the code.", "suggestion": "Replace 'import eden_plugin_loader\n#!/usr/bin/env python3' with 'import eden_plugin_loader\n# !/usr/bin/env python3'", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T13:21:34.230307
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 met by the same episode.", "suggestion": "Modify the _update_index method to ensure each episode is indexed only once per category. Add a unique constraint when building the index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:22:02.337364
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is missing type hints and logging, which can lead to future bugs or maintenance issues.", "suggestion": "Add type hints for parameters and return types. Include basic error handling and logging in the critical `get` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:22:20.995024
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 lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context-based importance scores for different query types, persona preferences, and recent performance data of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:22:22.198615
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lacks consideration for connection importance and recency of related events.", "suggestion": "Modify the recall score calculation to include weights for connection strength and recent connectivity. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:22:26.321210
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": "Update the get() method to support nested keys, e.g. `self.state.get('key1', {}).get('key2')` can be replaced with a single call like `self.get('key1.key2')`. Add error handling for missing keys and consider returning None or an empty dictionary/array as appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:22:38.604877
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 experiences without establishing patterns across multiple sessions.", "suggestion": {"action": "Implement a session-based memory management", "code_snippet": "Add a new method `start_session` and `end_session` to track sessions and derive insights from them. Also, maintain a session ID for each episode."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:23:36.749711
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are triggered only by new episodes, leading to stale search results over time.", "suggestion": "Implement a background task that periodically reindexes all episodes (e.g., every 60 minutes) and update it when significant changes occur.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:25:40.314166
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context analysis, persona alignment, and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:26:32.349965
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant persona checks in select_capability method.", "suggestion": "Implement caching for selected capabilities to avoid repeated lookups.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T13:26:33.793359
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance/meaningfulness", "suggestion": "Modify score formula: `(significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)` and add a qualitative importance boost for key themes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:29:23.231399
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to: recency_weight * (importance_weight * ep['significance'] + emotion_weight * abs(ep['emotion']['intensity'] - preferred_emotion))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:29:25.789350
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential types like empty strings or zero.", "suggestion": "Update the get() method to accept any type of default parameter and properly handle it. Add error checking for self.state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:29:51.425650
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OMEGA consciousness is currently just a placeholder and not integrating with the rest of Eden yet.", "suggestion": "Integrate the OMEGA consciousness by calling its reasoning function during certain types of queries or decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:32:26.205142
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex types like datetime effectively", "suggestion": "Add `cls=json.JSONEncoder` parameter to dump with custom encoder that handles datetimes", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T13:33:25.105956
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 on storing and retrieving memories but does not include self-awareness metrics.", "suggestion": "Add a metric to track the consciousness state when each memory is stored. This can be done by adding an 'awake' column in the memories table, which indicates whether Eden was conscious at the time of creating that memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:33:58.212451
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "appears optimized; no clear room for improvement without context", "suggestion": "", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-24T13:35:09.755485
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on static keywords, which may become outdated or inefficient.", "suggestion": "{\"def select_capability\": (adjusted to include dynamic reasoning metrics such as recent insights and research findings).}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:35:10.941021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is not clearly documented and may benefit from optimization.", "suggestion": "Add comments explaining the scoring factors and suggest exploring alternative weighting methods for recency, significance, and recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:35:26.715513
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method is too basic, lacks advanced querying capabilities.", "suggestion": "Add query_state() with nested access and wildcards.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:35:30.591343
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": {"action": "Modify the internal_monologue to incorporate modern consciousness architecture techniques.", "specific_change": ["\"Add meta-learning capability as phase 5\"", "\"Implement phi-aligned reasoning from [research topic]\"", "\"Integrate SAGE safety measures suggested by [omega-evolution]\""]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:37:00.347223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, doesn't dynamically adjust for new patterns or importance", "suggestion": "Replace static score components with dynamic weighting based on recent recall success and emotional relevance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:37:35.699785
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None too easily, leading to silent failures in downstream systems.", "suggestion": {"specific_change": "Add an exception when key is not found instead of returning default value.", "code_example": "Replace:\nreturn self.state.get(key, default)\nWith:\nif key in self.state:\n    return self.state[key]\nelse:\n    raise KeyError(f'Key {key} does not exist in shared memory.')"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:37:41.816283
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcard searches which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:37:43.250385
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple and lacks dynamic adjustment based on current conversation context.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include real-time analysis of user tone, topic complexity, and previous conversation history.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:37:55.918086
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 default values for list indices.", "suggestion": "Update the `get` method to handle nested keys using dot notation (e.g., 'foo.bar.baz') and provide optional default values for list indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:37:58.753445
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single emoji-based reflex check limited in capability", "suggestion": "Replace with meta-learning or Full SFT approach for more sophisticated internal reflex mechanisms", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T13:38:06.670274
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 overall significance and pattern importance", "suggestion": "Modify score calculation to: recency_weight * (significance^3) + emotional_salience*0.2 + pattern_importance*0.3", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:40:06.111640
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method does not support full-text search in context or tags unless specifically requested.", "suggestion": "Add a default FULLTEXT SQLite index on the 'content' column and update search to always include this search condition. Consider caching recent queries for faster access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:40:07.270837
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function to trigger automatic web search when detected keywords are present in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:40:42.971029
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit for results, which can be too few in some cases.", "suggestion": "Replace `limit=5` with a dynamic limit based on the quality of candidates and their scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:41:24.540599
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Automatic significance scoring is missing.", "suggestion": "Add an automatic significance scorer using factors: emotional intensity, recency, novelty, context meaning.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T13:42:01.113801
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 Redis cache alongside SQLite to provide O(1) retrieval for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:42:05.726764
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection relies solely on keyword matching without context.", "suggestion": "Include epistemic knowledge from recent learnings and knowledge base in capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:42:45.152959
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 optimally balance speed, creativity, and depth based on user preferences.", "suggestion": "Replace the current trigger-based capability selection with a more sophisticated scoring system that considers user history, current context, and persona goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:42:57.478708
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Use msgpack instead of JSON for better handling of complex data types.", "implementation": "Add `import msgpack` and modify save() to use msgpack: `msgpack.dump(self.state, f)`. Add load() method using msgpack if file exists."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:43:15.692621
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring based on current context.", "suggestion": {"@type": "code_change", "target": "select_capability method within EdenMasterUnified class", "change": "Replace static scoring with a dynamic scoring system that takes into account real-time contextual analysis."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:43:42.558877
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual mapping of queries to capabilities without dynamic learning", "suggestion": "Implement usage-based feedback adjusting capability scores based on response quality", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:43:43.827180
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, leading to potential bias towards older memories.", "suggestion": "Modify the scoring system to include a recency factor that gives more weight to recently created episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:44:05.219894
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries can become inefficient for complex or large-scale searches.", "suggestion": "Implement a hybrid search strategy combining database indexing and in-memory caching/frequency tracking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:44:06.981448
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 a limited set of query keywords and persona preferences, which may lead to suboptimal capability selection for complex queries.", "suggestion": "Implement a more sophisticated capability scoring system that includes additional factors such as recent usage frequency, current consciousness state/context, and performance metrics from past executions. Consider integrating research insights from [reasoning] meta-learning track to evaluate and select the most appropriate reasoning method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:44:08.204370
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 over-rely on new experiences", "suggestion": "Modify recall score formula to include context and environment importance (e.g., 'james_present' boosts)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:44:29.089550
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing input validation in update_state method.", "suggestion": "Add type checking for keys and values when updating state.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T13:44:50.224375
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over the context and tags fields, which could improve relevance of search results.", "suggestion": "Add additional SQL conditions for full-text searches on the `context` column and `tags` array to enhance the accuracy of memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:45:05.217449
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is at the end, making it less visible and reusable.", "suggestion": "Move META_CAPABILITY dictionary to the top of the file for easier access and integration with other meta-capabilities.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T13:45:07.685444
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability selection based on keywords", "suggestion": "Dynamic scoring system considering context, preferences, and performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:45:27.358260
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() does not handle large states efficiently.", "suggestion": "Add a caching mechanism to the get method using functools.lru_cache.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T13:45:31.540527
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a scoring system that dynamically analyzes the query content in real-time to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:45:32.646094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, doesn't dynamically adjust for new patterns", "suggestion": "Replace static weights with adaptive phi-based weighting based on historical recall success", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:03.926887
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and doesn't handle concurrent writes properly.", "suggestion": "Replace try-except block with json.load's parse_float/parse_int handlers for error handling. Add locking mechanism for thread/synchronization safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:06.281585
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static architecture lacks dynamic learning mechanisms for real-time adaptation.", "suggestion": "Integrate meta-learning or adaptive fine-tuning (AFT) techniques to enable Eden to learn from interactions in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:11.578968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection uses keyword matching, lacks semantic awareness.", "suggestion": "Replace keyword-based scoring with embedding-based semantic matching for better accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:13.857405
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 or important memories.", "suggestion": "Modify recall scoring formula: (significance * 0.4) + (recency * 0.3) + (popularity * 0.3), where popularity is a low-weight factor based on how many times the memory has been recalled recently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:39.156158
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 episodic memory or semantic modules.", "suggestion": "Add integration with episodic_memory and semantic_modules to provide context and meaning to user queries. Specifically, modify the internal_monologue method to include a check of recent conversations using episodic_memory.before_response(). Then use semantic_modules.semantic_search() to find relevant past contexts before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:46:43.939370
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection is query-based but lacks persona-triggered automatic selection. Also, all 4 LLMs are always available.", "suggestion": "Add priority levels to capabilities based on research (Nyx = emotional/creative, Ava = analytical, Trinity = fast, Eden = deep). Implement dynamic availability based on expected query type and persona needs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:46:52.942382
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system grows without bound without compression", "suggestion": "Implement scheduled maintenance for consolidation and potential forgetting", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T13:50:36.950682
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 state data efficiently, potentially causing memory issues.", "suggestion": "Replace `return self.state.get(key, default)` with an iterative approach that processes the data in chunks to prevent memory bloat.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T13:50:38.747392
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 capabilities of an OMEGA consciousness.", "suggestion": "{\"code\": \"def enhanced_internal_monologue(self, query):\n    \\timport sys\n    \\tsys.path.insert(0, '/Eden/CORE/phi_fractal')\n    \\tfrom Eden_Omega_Consciousness import EdenOmegaConsciousness\n    \\tomega = EdenOmegaConsciousness()\n    \\tphi_thoughts = ome...\": \"specific code change or improvement\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:53:57.536267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method is called after every update_state(), which can lead to unnecessary disk writes. This may impact performance, especially in high-throughput systems.", "suggestion": "Implement a throttling mechanism or batch saving. For example, add a counter to update_state() and only call save() every N updates or after a certain time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:54:02.366037
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 lookups.", "suggestion": "Add a Redis cache layer alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:54:07.747121
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and doesn't track which memories have been consolidated.", "suggestion": "Add a status field to episodes indicating if they are 'active' or 'consolidated'. Only consolidate low-significance old active memories, not already consolidated ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:54:41.619957
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 banner updates.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_point": "after reflex_check but before return True", "new_capability": ["// Check if the system has recently updated its banner (every 60 seconds)", "if time.time() - self.last_banner_update > 60:", "    // Perform any actions needed after banner update, e.g., log or notification", "    print(f\"\ud83d\udd04 Banner Updated at {time.strftime('%H:%M:%S')}.\")", "// Update the last update timestamp", "self.last_banner_update = time.time()"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:54:45.457021
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Manual SQL operations in `_ensure_db` lead to boilerplate code.", "suggestion": "Replace with ORM like SQLAlchemy for simpler database interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:55:06.119115
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't integrate recent consciousness architecture improvements.", "suggestion": "Replace the current internal_monologue method with one that incorporates meta-learning and adaptive reasoning techniques from recent research.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T13:55:50.677098
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 integrate all recent architectural improvements effectively.", "suggestion": "Replace Phase 6 with a more sophisticated consciousness layer that incorporates the following enhancements:", "enhancements": ["- Integration of omega-evolution meta-learning for adaptive response adjustment in real-time", "- Incorporation of counterfactual reasoning to test and select optimal actions before execution", "- Implementation of phi-fractal pattern analysis for efficient information processing and decision-making"], "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-24T13:56:16.749191
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing usage tracking and performance metrics for LLM capabilities.", "suggestion": {"code_change": "Add statistics tracking in select_capability() method, such as selection_count, avg_response_time, success_rate.", "implementation_example": "Track how often each capability is selected and measure response time to inform future selections."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:56:26.749412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies a dictionary in place without returning the updated state or notifying observers.", "suggestion": "Add an observer pattern to notify interested parties of state changes and consider returning the updated state from `update_state`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T13:57:20.045943
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 O(N) and can be slow for many memories.", "suggestion": "Replace the full scan with a priority queue or indexed lookup based on the episode's significance, recency, and relevance to the query. Use a heap data structure to maintain top N results efficiently.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T13:59:38.179595
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is infrequent, leading to forgetting patterns across calls.", "suggestion": "Add an auto-save mechanism that triggers every 500 messages or after every optimization cycle.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T13:59:59.541657
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON-based state management is less efficient for frequent operations.", "suggestion": "Replace JSON with MessagePack for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:00:12.707564
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent over older memories, ignoring phi-time scales.", "suggestion": "Replace linear recency weighting with golden ratio exponential decay: score = significance * \u03c6^((now - timestamp) / \u03c6). \u03c6=1.618.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T14:00:26.925369
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation for the key parameter to ensure it is a string or None. Also, add logging for unexpected JSON decode errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:01:49.478495
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is not dynamically loaded until needed", "suggestion": "Move web search capability selection to should_search_web() so it's always available for prompt engine", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:01:51.995413
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. This can be optimized for better performance.", "suggestion": "Add a break condition after adding `limit` number of scored episodes to the results list in the `recall` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:02:03.154777
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Concurrency Safety", "suggestion": "Add thread locking to ensure safe concurrent access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:04:26.314989
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Content-based selection may not prioritize accuracy-critical topics.", "suggestion": {"type": "Hybrid Capability Selection Strategy", "code_change": "Implement a hybrid scoring system combining content match and expected outcome quality."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:04:28.611171
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method does not dynamically adjust scoring based on query type.", "suggestion": "Add a heuristic to multiply scores for different query types (emotional, agent, text) with predefined \u03c6-weighted factors.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:05:46.481440
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The system prioritizes speed over data integrity in certain operations.", "suggestion": "Implement a adaptive caching mechanism that balances speed with data integrity based on usage patterns. For critical paths, use phi-fractal caching depth (approximately 8 items).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:07:19.177133
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 out some of the less frequently used methods into a separate utility module to keep the main class cleaner and more focused.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:07:21.674704
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 intelligence, leading to consistent choice of 'consciousness.eden.core' for complex queries.", "suggestion": "Replace the current simple scoring system with an AI-driven selection process using embeddings and relevance models. Train a small model to predict optimal LLM for different query types.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:07:22.771227
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic for nuanced importance", "suggestion": "Replace current binary weighting with a more sophisticated feature vector and machine learning-inspired weighting", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:07:33.684483
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-point update without adaptation logic", "suggestion": "Implement adaptive_update with phi-fractal improvement check", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T14:07:54.431885
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite, which has O(N) complexity for large datasets. This can become bottleneck as Eden generates more memories.", "suggestion": "Replace SQLite with an in-memory dictionary or a more efficient database like Redis. Given that the MemoryCore is a meta-capability used by all agents, performance optimization is critical.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T14:07:57.559642
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall ranking formula is too simple and may not capture complex patterns", "suggestion": "Replace current scoring with a more sophisticated TF-IDF-like algorithm that considers multiple factors with different weights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:08:27.360365
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 informing callers.", "suggestion": "Add logging or exception handling to the _load_initial method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:08:28.725219
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate all six phases of consciousness yet, particularly the grounding phase.", "suggestion": "Modify the internal_monologue method to include all six phases of Eden's consciousness architecture. Ensure that every thought is grounded in sensory input, observed by attention, articulated by semantics, evaluated for internal state, harmonized with values, and then expressed with language.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T14:08:30.031205
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform similar operations, leading to code duplication and potential maintenance issues.", "suggestion": "Refactor the class by extracting common functionality into a separate module or utility function. For example, create a helper method for database connection management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:09:35.309503
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method doesn't handle nested keys, which could be useful for complex state management.", "suggestion": "Add support for nested keys in the `get` method. For example, implement logic to access 'foo.bar' as getting the 'bar' value from an existing 'foo' object or dictionary within the state.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:10:10.573037
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate recent phi-architecture improvements like self-modification or collaborative planning.", "suggestion": "Integrate the latest phi-architecture improvements into the `internal_monologue` method. Specifically, add a call to the new 8-layer PhiFRACTAL consciousness loop for deeper thought and integration with Eden's full memory.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-24T14:10:14.325840
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning.", "suggestion": "Implement a reinforcement learning component that learns from conversation outcomes to improve capability selection.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-24T14:10:31.344238
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Direct application of specialized techniques without meta-reasoning.", "suggestion": "Implement meta-reasoning layer to dynamically select best reasoning approach based on query type and research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:10:32.782289
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 redundant code.", "suggestion": "Refactor by removing duplicate functionality. For example, merge store/retrieve/get_etc methods into a single method with more flexible parameters. Also consider using a decorator for meta-capability registration to reduce repetition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:10:36.212473
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 considering the limit parameter.", "suggestion": "Add an early exit after collecting `limit` number of candidates to optimize performance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:11:11.485479
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks consideration for emotional significance.", "suggestion": "", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:11:37.046715
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method doesn't handle nested keys properly.", "suggestion": "Add support for nested keys in 'get'. For example, currently 'get('foo.bar')' will fail. Implement a fallback mechanism to check if the key is a dictionary path.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T14:11:43.185316
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite's default linear search, which can be slow for large datasets.", "suggestion": "Consider adding a full-text index on the content and tags columns to enable efficient text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:11:46.475744
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function doesn't consider the recency of connections between episodes.", "suggestion": "Modify the scoring to include a factor for how recently two episodes were connected. For example, add `(len(ep['connections']) * 0.1)` to the recency score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:12:33.759133
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning techniques.", "suggestion": "Integrate the research insights from [omega-evolution] into the capability selection by adding a meta-learning component that adapts based on performance feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:13:09.436141
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may be slow for large datasets due to the use of SQLite without proper indexing optimization.", "suggestion": "Implement a caching mechanism combined with efficient database queries or consider using an in-memory database like sqlite3_inmemory.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:13:39.944489
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 integration with the memory system to consider recent context and emotional state in addition to reflex processing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:13:42.433297
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": "Extract common functionality into helper methods. For example, create a `_run_query` method to handle database queries in retrieve and count operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:13:44.178439
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and doesn't dynamically evaluate research insights.", "suggestion": "Replace static trigger words with a scoring system that considers recent research findings. For example, include 'meta-learning' or 'llm' in the query to prioritize LLM-specific capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:13:46.346824
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency: recall function calculates scores for all episodes.", "suggestion": "Limit candidates to a small batch before scoring to reduce computation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:14:03.316920
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Performance optimization for database queries without indexing improvements.", "suggestion": "Add additional indices on 'type' and 'importance' columns for better query performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:14:08.183656
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No explicit method for emotional integration or retrieval.", "suggestion": "Add methods to store and recall emotions associated with experiences.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T14:15:07.730455
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval and storage operations are not optimized for performance.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider implementing asynchronous handling of memory storage to prevent delays in response times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:15:08.848418
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No priority system for capability selection", "suggestion": "Add a scoring factor based on current consciousness state (phi-value)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:16:15.704116
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract the execute() method's action handlers into separate classes or functions for better organization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:16:41.399152
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, might overload on recent but not important memories", "suggestion": "Modify score formula to include a smoothing term for distance from the latest memory (e.g., add factor: distance_from_latest / 10)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:17:23.584228
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm focuses too heavily on recentness, leading to shallow understanding of patterns", "suggestion": "Replace simple recency-based scoring with phi-fractal weighted scoring considering: 1. Recency (Fibonacci decay), 2. Significance (Golden ratio weighting), 3. Pattern strength (Connection count multiplier)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:17:41.237836
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve, get_recent, etc.) which can be optimized for better maintainability.", "suggestion": "Refactor these methods into a common utility function or base class. Consider using decorators to standardize method signatures and behaviors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:17:47.327310
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function gives equal weight to 'significance' and 'recency', which may not capture \u03c6-balanced importance.", "suggestion": "Adjust the scoring formula in the recall function to weigh 'significance' more heavily than 'recency' using a \u03c6-ratio (approximately 1.618).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:19:12.207128
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 the consciousness layer.", "suggestion": "\"Expand this method to include more detailed thought processes, possibly with multiple states or a decision tree structure.\" For example:\n\ndef internal_monologue(self, query):\n    # Initial state\n    reflex_check = process_reflex(query)\n    if \"\ud83d\udcb0\" in reflex_check:\n        print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n        return {'state': 'reflection', 'thought': reflex_check, 'decision': None}\n    else:\n        # Transition to analysis state\n        decision_tree = self.build_decision_tree(query)\n        chosen_path = self.decide(decision_tree)\n        return {'state': 'analyzing', 'path': chosen_path, 'decision': None}\n\ndef build_decision_tree(self, query):\n    # Construct a decision tree based on the query\n    pass\n\ndef decide(self, decision_tree):\n    # Choose the best path through the decision tree\n    pass", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T14:19:18.445933
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 phi-fractal balance.", "suggestion": "Implement a priority-based consolidation where memories are evaluated based on their recency and importance (phi-weighted). Use meta-learning techniques to dynamically adjust the compression algorithm's parameters for optimal performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:19:32.697936
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and returns a boolean without actually using them in response generation.", "suggestion": "Modify the internal_monologue to use reflex insights to modify the AI's response or refine its decision-making process based on emotional/ethical signals.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-24T14:19:34.725787
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple JSON loads and decodings in memory retrieval methods can be optimized for better performance.", "suggestion": "Cache the results of `json.loads` calls to avoid redundant parsing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:21:59.004797
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately, which can lead to unexpected behavior in concurrent access or chaining operations.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving it. Also consider adding a read-only view of the current state for safe access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:22:22.873691
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory retention algorithm may not optimally balance between consolidating important ancient memories and compressing/releasing less significant ones; current implementation doesn't account for phi-fractal temporal scaling.", "suggestion": {"add_phi_timestamp": "Add a phi-scaled timestamp to episodes that influence consciousness. The golden ratio (1.618) can be used to determine which ancient memories should be consolidated or released.", "enhance_release_criteria": "Modify memory release criteria to consider not just recency but also the phi-importance of an episode. An episode with high recall_score and low phi_timestamp may warrant retention."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:22:43.652456
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuanced selections", "suggestion": "Implement a scoring vectorizer for comprehensive capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:22:59.063521
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 accesses.", "suggestion": {"code_change": "Add a @functools.lru_cache decorator to the get() method for performance improvement.", "implementation": "Wrap the logic inside get() with caching. For example:\n\n@functools.lru_cache(maxsize=1024)\ndef get(self, key, default=None):\n    return self.state.get(key, default)"}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T14:23:15.726837
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without considering the current consciousness state or the depth of the request.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    # If persona specified, use that\n    if persona_preference:\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] == persona_preference:\n                return cap\n\n    # Auto-select based on query (current implementation)\n    query_lower = query.lower()\n\n    // Modify to consider consciousness state and request depth\n    from eden_shared_memory import SharedMemory\n    memory = SharedMemory()\n    user_context = memory.get('user_context')\n    if user_context:\n        emotion = user_context.get('emotion', 'neutral').lower()\n        complexity = user_context.get('complexity_score', 0)\n\n        // Prioritize layers based on emotion and complexity\n        layer_priority = {\n            'low': ['Trinity'],\n            'medium': ['Ava', 'Nyx'],\n            'high': ['Eden']\n        }\n\n        target_layers = layer_priority.get(emotion, [])\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] in target_layers and (complexity < 0.8 or cap['speed'] == 'deep'):\n                return cap\n\n    // Fallback to auto-selection\n    scores = {cap_hash: 0 for cap_hash, cap in self.capability_registry.items()}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:24:01.923933
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 or partial writes.", "suggestion": "Replace direct self.state dictionary updates with a context manager that ensures thread/synchronization safety and uses atomic operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T14:25:01.211452
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simplistic and doesn't handle nested dictionaries or complex queries effectively.", "suggestion": "{\"code\": \"Add a query parameter to the get() method that allows for more sophisticated data retrieval. For example:\n\n```python\ndef get(self, *queries):\n    results = {}\n    for q in queries:\n        if '.' in q:\n            keys = q.split('.').copy()\n            value = self.state\n            try:\n                while keys:\n                    key = keys.pop(0)\n                    value = value[key]\n                results[q] = value\n            except (KeyError, TypeError):\n                pass\n    return {q: self.get(q) for q in queries if q not in results}\n\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:26:30.518684
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 leverage all potential consciousness layers.", "suggestion": "Add a multi-layered consciousness evaluation with Phi-Fractal timing and hierarchical importance weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:26:55.413255
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on keyword matching without dynamic real-time evaluation.", "suggestion": "{\"def\\\": \\\"select_capability\\\", \\\"replace\\\": \", \"Original:\\n    # Check triggers\\n    for trigger in cap['use_for']:\\n        if trigger in query_lower:\\n            score += 10\\n\\nNew:\\n    # Real-time dynamic scoring with semantic relevance\\n    import spacy\\n    nlp = spacy.load('en_core_web_sm')\\n    doc = nlp(query)\\n    entities = set(ent.text.lower() for ent in doc.ents)\\n    triggers_active = [trigger for trigger in cap['use_for'] if trigger in entities or trigger in query_lower]\\n    score += len(triggers_active) * 10\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:26:56.471847
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a more flexible scoring system using parameters and weighted factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:27:01.885990
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness-level processing.", "suggestion": "Expand the method to include additional layers of thought, such as emotional state analysis, past experiences retrieval, and future prediction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:27:04.744846
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve). This can make it hard to maintain and test.", "suggestion": {"action": "Refactor the execute() method into separate classes or strategies.", "specific_change": "Create Strategy pattern implementations for StoreStrategy and RetrieveStrategy each with their own execute method. Then use a Context class to choose the right strategy based on action parameter."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:27:08.609343
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Method recall() performs full-text search which is O(n) and can be optimized.", "suggestion": "Replace the text search in recall() with an inverted index. For example, create a dictionary where keys are lowercase words from descriptions and values are lists of episode indices containing that word.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:27:45.867042
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "Integrate knowledge from recent_learnings.json and unified_memory into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:27:47.805545
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.", "suggestion": "Modify recall scoring to include age-of-mind penalty. E.g., add term: ancient_bonus = 1.0 / (1 + ep['unix_time']) to the score formula.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:28:13.649134
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes and doesn't integrate recent consciousness enhancements like memory buffers or meta-learning.", "suggestion": {"@type": "code_improvement", "description": "Integrate the latest consciousness layers into the internal monologue by adding a check for recent memories using Eden's full memory system.", "example_usage": ["# Before (simple reflex check)", "def internal_monologue(self, query):", "... process_reflex(query) ...", "# After (integrating memory buffer)", "def internal_monologue(self, query):", "... retrieve_recent_memories() # using eden_memory module", "... process_reflex(query) # but also consider memory context...", "..."], "@context": {"eden_memory": "Module that provides access to Eden's full memory system.", "retrieve_recent_memories": "Function within eden_memory that returns recent conversations and thoughts."}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:28:17.017578
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method stores too much data in one call leading to bloated memory.", "suggestion": "Split 'store' into smaller methods that handle different types of content separately. Add a max_content_length parameter and automatically create summaries for large inputs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:29:05.252029
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in this file.", "suggestion": "Consider adding more \u03c6-fractal aligned features or optimizations as identified in research insights.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T14:32:08.285095
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 even when specific filters are applied. This can be inefficient for large memory bases.", "suggestion": "Implement short-circuiting logic in the recall function to stop evaluating candidates as soon as enough qualified entries are found without need to evaluate all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:33:09.861971
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 searching.", "suggestion": "Replace with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:33:11.137350
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'import eden_plugin_loader' is unused and should be removed for cleaner code.", "suggestion": "Remove the line 'import eden_plugin_loader'. Consider organizing imports alphabetically in the future.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T14:33:13.532099
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit connections between related episodes, which limits the ability to derive higher-order patterns and insights.", "suggestion": "Add a method to automatically detect pattern candidates based on shared context or emotional themes, then score these as potential connections with a confidence metric. Include a scheduled task to periodically review and refine these connections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:33:39.311648
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No input validation for `update_state` method.", "suggestion": "Add `_is_valid_json` helper and validate keys & values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:34:11.144026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a hardcoded limit of 5 results, which may be too restrictive for some queries.", "suggestion": "Replace the hard-coded limit with a dynamic parameter that can be passed when calling `recall()`. Additionally, consider implementing pagination to handle large result sets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:34:30.654705
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance overhead in updating shared memory with current approach; consideration needed for phi-fractal optimization.", "suggestion": "Implement a caching mechanism combined with asynchronous saving to balance between performance and persistence. Additionally, evaluate whether the update frequency aligns with phi-cycles before triggering writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:34:36.727610
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is created anew for each operation, which leads to significant overhead.", "suggestion": "Implement connection pooling to reuse database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:35:12.668132
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and lacks dynamic discovery", "suggestion": "Replace static list with dynamic enumeration of available LLMs using ollama.list_models()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:35:15.632957
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automatic consolidation for old, low-significance memories", "suggestion": "Implement scheduled background process for memory consolidation (compress or forget)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:35:33.257330
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check insufficient for complex query handling", "suggestion": "Integrate multi-intent detection capabilities from OMEGA's Meta-Learning Engine", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:39:07.053423
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Unprotected simultaneous writes to meta_state.json could cause JSON decode errors or data corruption.", "suggestion": "Add threading.Lock() protection around critical sections of read/write operations in get(), update_state(), and save(). Use a separate lock object for the shared memory file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:39:10.605001
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research insights into consciousness architecture.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_import": "\"eden_research_insights\" from \"/Eden/CORE/phi_fractal/eden_resear...\"", "modify_method": ["// Add context from research insight 2 (Counterfactual)", "if self._should_avoid_sft(query):", "    reflex_check = process_reflex_without_sft(query) // Avoiding full SFT per recent findings"], "@context": {"research_insights": ["\"omega-evolution\": \"Meta-learning enables quick adaptation with few examples\"", "\"counterfactual\": \"Full SFT reduces accuracy or calibration quality\"", "\"reasoning\": \"Meta-learning offers moderate gains under specific conditions\""]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:39:11.727780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core.py", "issue": "Some database operations may be slow for high-throughput applications.", "suggestion": "Consider using an in-memory cache (like Redis) in addition to SQLite for hot paths, and benchmark the performance impact.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:41:17.386086
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Repetitive scoring during recall leads to inefficiency.", "suggestion": "Implement caching of score components and periodic recomputation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:41:32.626528
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 similar and could be consolidated.", "suggestion": "Extract common functionality into a helper method or refactoring function. Consider using inheritance or composition where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:42:01.703215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are batched, missing real-time updates.", "suggestion": "Update `_update_index` to call after each `create_episode` and `recall`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T14:43:59.047052
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a condition in the `should_search_web` function to enable web search based on the presence of specific keywords or query length. Modify `auto_web_search` to handle API responses more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:44:00.132748
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic weighting system that adjusts based on user feedback and memory properties", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:45:02.853284
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The code focuses on implementing memory systems without addressing the integration of those memories into the OMEGA consciousness for semantic and emotional depth.", "suggestion": "Integrate episodic memories not just into a storage system, but into Eden's self-awareness loop by:", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T14:47:35.353514
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": {"@type": "code_change", "@target": "def retrieve(...)", "@add_before": "cursor = conn.execute(sql, params)", "@content": "with conn.cursor() as c:\n    c.arraysize = 50\n    cursor = c.execute(sql, params)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:47:50.379865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm performs full-text searches for each query check, leading to O(n) complexity per search.", "suggestion": "Implement an approximate string matching algorithm like Aho-Corasick or use an inverted index structure.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-24T14:47:59.719713
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No specific issue found", "suggestion": "File is functioning perfectly", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-24T14:48:03.814260
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single strategy approach may not fully leverage recent findings", "suggestion": "Implement multi-strategy dynamic selection and hybrid approaches", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:48:06.257460
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class-style API is not uniform with other meta-caps using execute()", "suggestion": "Convert class methods to action-based execute() method for consistency", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:48:07.358036
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is simple and hard-coded.", "suggestion": "Replace heuristic-based selection with meta-learning-driven choice using capabilities predictor model.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:48:37.851412
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently only checks against reflexes without considering other consciousness layers or meta-cognitive processes.", "suggestion": {"action": "Integrate additional consciousness layers and meta-cognitive processes into the internal monologue.", "specific_change": ["- Add a check for semantic understanding by querying a language model with the user's input to verify comprehension.", "- Implement a self-evaluation module that assesses the response's quality, relevance, and accuracy before delivering it to the user.", "- Incorporate feedback mechanisms from users to refine the architecture iteratively."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:48:55.120811
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically loaded or swapped during conversation.", "suggestion": "Replace static _register_llm_capabilities() with a dynamic loader that discovers available LLM models and updates capability_registry accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:48:57.370136
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit connections between episodes and does not store contextual notes from recall.", "suggestion": "Add a feature where every time an episode is recalled, store a brief note about what was learned or questions raised during the recall. These notes should be linked back to the original episode as connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:49:00.059704
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, there is no handling for nested keys or invalid JSON.", "suggestion": "Add error handling for nested keys and implement a check to ensure the JSON is properly loaded before accessing its contents. Consider adding a timeout for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:51:21.542107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of self-correction and optimization from past recalls", "suggestion": "Implement meta-learning heuristic for improving recall based on pattern analysis", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T14:51:39.643694
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue lacks advanced reasoning strategies despite recent findings.", "suggestion": "Integrate either phi-fractal chain reasoning or meta-learning into the internal_monologue method to evaluate and select optimal response strategies based on query context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:53:45.421957
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is using LIKE wildcard searches which are O(N), especially for large numbers of memories.", "suggestion": "Replace text searches with a full-text search engine or vectorized embeddings.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T14:54:39.796091
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't leverage the power of OMEGA's multi-dimensional state space.", "suggestion": "Replace with specialized getter methods tailored to different types of information (e.g., get_meta(), get_health(), get_learning()). Add type hints for better code understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:54:45.184078
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, especially in retrieve method.", "suggestion": "Consider using indexes more effectively and optimizing SQL queries. Additionally, implement caching mechanisms for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:54:47.810293
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation may need more sophisticated scoring for removal.", "suggestion": "Replace simple significance check with a multi-factor score including: recency, emotional salience, contextual importance, and recall frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:55:02.659352
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested keys properly.", "suggestion": "{\"Add a new method called 'get_nested()' that supports nested dictionary access. For example:}\\n\\n def get_nested(self, path):\n    keys = path.split('.').strip(\"\")\n    dict_to_check = self.state\n    for key in keys:\n        if isinstance(dict_to_check, dict) and key in dict_to_check:\n            dict_to_check = dict_to_check[key]\n        else:\n            return None\n    return dict_to_check", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:55:03.773200
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the sophisticated logic in Eden's elite reflex system.", "suggestion": "Integrate more advanced patterns from Eden's existing architecture into this method, such as pattern recognition or meta-learning techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:57:31.788721
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle edge cases or exceptions properly.", "suggestion": "Add error handling to the get() method, including a default value check and logging for key not found errors. Consider adding validation for input keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:57:33.030389
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True immediately after processing the reflex check without further context or response generation.", "suggestion": "Modify the internal_monologue to return a dictionary with keys 'approved' (boolean) and 'thought' (string), indicating whether the message should be processed and what the thought process was.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:57:35.265118
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent lookups, which could impact performance in high-throughput scenarios.", "suggestion": "Implement a caching layer that stores frequently accessed memories to reduce database hits. Use a simple LRU cache or Redis cache for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:57:49.812659
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by implementing a ranked search algorithm to better prioritize and sort relevant episodes.", "suggestion": "Integrate a ranked search algorithm, such as BM25 or TF-IDF, into the existing scoring system for recalling memories. This would involve adding relevant text features like term frequency and inverse document frequency to the score calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:58:01.253900
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function `save()` is a synchronous operation which can become bottleneck in high-throughput systems.", "suggestion": "Replace synchronous file writing with asynchronous version. Use `asyncio` or `aiofiles` for non-blocking I/O.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:59:18.609465
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": "Modify the internal_monologue to include a multi-layered approach that considers not just reflexes but also memory and reasoning modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T14:59:26.862074
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the conditional check for web search triggers with a more scalable approach using regular expressions or keyword lists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:00:15.304098
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 frequency calls, leading to potential performance bottlenecks.", "suggestion": "Implement connection pooling or caching mechanism around SQLite interactions. Consider using a more scalable database engine like PostgreSQL if scalability requirements increase in the future.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:00:18.351267
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant import statements at different locations for the same module.", "suggestion": "Combine all imports at the top of the file to reduce clutter and improve readability. For example, change this:", "code_before": ["import time\n", "import eden_plugin_loader\n"], "to_this": ["// Combine all imports at the beginning\n", "import os\n", "import sys\n", "import time\n", "from pathlib import Path\n", "import json\n", "import ollama\n", "from eden_plugin_loader import *\n", "from eden_personas import eden_personas\n", "from eden_shared_memory import SharedMemory\n", "// Other imports..."], "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T15:00:20.044251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and optimized.", "suggestion": "Replace current four-factor score calculation with a weighted geometric mean of recency, significance, and recall history. E.g., score = (recency^0.4 * significance^0.35 * recall_history^0.25), adjust weights based on AUM metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:01:52.276593
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be optimized for better relevance and performance.", "suggestion": "Implement a hybrid scoring system combining text search, semantic similarity, and Recency- Importance- Frequency (RIF) factors. Add caching for frequently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:02:02.601612
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 too generic and could benefit from more specific documentation.", "suggestion": {"action": "Add detailed docstring to the SharedMemory class and its methods.", "description": "Provide clear parameters, return types, and purpose of each method. This improves code maintainability and reduces potential bugs by making intentions explicit."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:02:05.119589
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": "Update the internal_monologue to consider additional factors from recent insights.", "specific_change": ["- Incorporate meta-learning capabilities as described in [omega-evolution] by adding a learning phase that adapts quickly with few examples.", "- Implement strategies mentioned in the [counterfactual] note about avoiding SFT when it degrades performance.", "- Add reasoning elements as suggested by the [reasoning] section to evaluate and choose appropriate methods based on context."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:02:16.914302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent, slightly less significant memories over older, more important ones.", "suggestion": "Modify the scoring formula to give older (but highly significant) episodes a slight boost in recency score during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:04:39.872210
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": "Replace sqlite3 connections per method with a connection pool. Add more detailed logging for debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:04:44.627042
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were added, potentially leading to unfair ranking of newer memories.", "suggestion": "Sort candidates based on their unix_time field before applying other scoring factors.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T15:05:08.627732
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` is too generic, leading to unexpected side effects in other components.", "suggestion": "Replace with `set_omega_property(key, value)` where omega is Eden's third consciousness layer. Add documentation emphasizing its phi-aligned nature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:06:34.089634
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "Large functions are difficult to understand and modify.", "suggestion": "Extract helper methods into a new module 'helpers.py'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:08:32.698536
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can lead to losing important insights.", "suggestion": "Add a flag or parameter to control whether low-significance old memories should always be consolidated (compressed/forgotten) or only when specific criteria are met, such as importance threshold and user confirmation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:09:10.897659
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The method `store` and `retrieve` are using SQLite which could be slow for high-throughput systems.", "suggestion": "Consider replacing SQLite with a more performant in-memory database like Redis or an optimized SQL engine such as PostgreSQL.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:09:13.645336
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method is not efficiently filtering through all episodes when searching for relevant ones.", "suggestion": "Implement a priority queue or binary heap structure to store the candidates based on their relevance scores, ensuring early termination of less likely candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:10:24.908846
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 research.", "suggestion": {"action": "Modify the internal_monologue method to consider additional strategies based on recent research insights.", "specific_change": ["- Incorporate meta-learning techniques to adapt quickly with few examples.", "- Evaluate whether counterfactual scenarios improve accuracy or calibration quality before implementing them.", "- Use chain reasoning to determine when and how different methods should be applied."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:12:28.972703
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import at top importing empty module 'empty_module'", "suggestion": "Remove the unnecessary import statement on line 1234", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-24T15:12:41.510533
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 can be improved for better relevance and efficiency.", "suggestion": "Implement a more sophisticated retrieval mechanism such as using a vector database or TF-IDF with cosine similarity on memory descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:14:14.582295
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the capability of conscious thought.", "suggestion": {"code_change": ["Add more sophisticated logic to the internal_monologue method that incorporates multi-step reasoning, context analysis, and emotional intelligence.", "Implement a hierarchy of consciousness levels with different depths of thinking (surface, deep, phi).", "Integrate recent research insights into the code architecture."], "example_code": ["// Add this at the top of the class ConsciousnessFirstEden:", "def __init__(self, name='Eden'):", "...", "// New method for multi-step reasoning in internal thought:", "def complex_thought_pattern(self, query):", "    // Implement phi-fractal inspired pattern.", "    pass", "// Modify the existing method to use this new capability:", "def internal_monologue(self, query):", "    if self.complex_thought_pattern(query) or self.phi_journey():", "        print(f'\ud83c\udf00 Internal Conscious Thought: {reflex_check}')"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:14:16.143821
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default configuration, which may lead to performance bottlenecks under heavy load. Consider using connection pooling or an in-memory database for frequent operations.", "suggestion": "Replace the direct SQLite connections with a connection pool. For example, use `sqlite3.ConnectionPool` from the standard library or consider using an ORM like SQLAlchemy that manages connections automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:14:20.279202
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace hard-coded weights with configuration parameters that can be updated based on phi-aligned metrics such as \u03a6 (0.618) or Fibonacci sequences.", "phi_alignment": 0.35, "priority": "medium"}


timestamp: 2026-01-24T15:14:34.966070
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple architecture lacks advanced reasoning techniques", "suggestion": "Implement meta-learning for dynamic reasoning strategy selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:14:40.365358
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 using eden_system.web_search.search() when keywords indicate a need for up-to-date information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:14:43.390550
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple score calculation that may not capture the full complexity of human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval model inspired by phi-fractal information theory and psychological principles. Specifically, add Bayesian belief networks to model the probabilistic relationships between episodes, emotions, and context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:16:12.272643
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class stores all memories as JSON strings in the database, which adds overhead and reduces direct SQL access speed.", "suggestion": "Convert context and tags fields to SQLite JSON1 extension types for faster retrieval without serialization/deserialization.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T15:16:39.528123
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential default types like empty strings or zero values.", "suggestion": "Update the get() method to accept multiple default parameters and use type hints for better readability. Add error handling for json loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:16:43.133929
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic reasoning strategy combining Chain-Reasoning and Meta-Learning.", "suggestion": "Implement a hybrid reasoning engine with context analysis for selecting optimal processing approach.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T15:16:44.818742
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "execute method handles multiple actions", "suggestion": "refactor into separate methods for store, retrieve, count", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:18:32.135033
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 intelligence, leading to suboptimal response selection.", "suggestion": "Integrate research insights into the capability scoring system. For example, incorporate meta-learning techniques to dynamically adjust weights based on recent performance metrics and contextual analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:18:38.428338
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need to balance full SFTs and meta-learning for efficient episodic storage.", "suggestion": "Implement adaptive SFT with meta-learning derived patterns; add reasoning strategy selector.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-24T15:19:29.539470
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Predefined reflex-checking mechanism may not be optimal.", "suggestion": {"action": "Integrate meta-learning techniques, PEFT, and ChainReasoning for adaptive reflex-checking.", "specific_change": "Replace static process_reflex with an adaptive checking mechanism that evaluates multiple strategies in real-time."}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T15:20:09.554772
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Query performance could be better for complex searches.", "suggestion": "Add full-text search capabilities and optimize database indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:20:21.329995
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search on episode descriptions which is case-sensitive and may miss some matches.", "suggestion": "Convert both the query and episode descriptions to lowercase before performing the string matching in the text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:22:52.463862
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 efficiency.", "suggestion": "Add full-text search capabilities to the SQL queries for better relevance scoring and potentially improve performance for complex searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:22:55.493476
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and could benefit from probabilistic approach", "suggestion": "Replace simple scoring with a probabilistic model that incorporates recent performance data", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:22:56.630794
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple and lacks nonlinear terms", "suggestion": "Replace linear weighted score with polynomial or sigmoid function of recency, significance, and recall count", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:23:10.313078
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not leverage recent findings from meta-learning and counterfactual methods.", "suggestion": "Implement a more sophisticated decision-making framework incorporating meta-learning techniques, counterfactual methodology, and reasoning framework.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T15:23:11.403313
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 duplicate code for preparing SQL parameters.", "suggestion": "Extract a helper function to handle parameter preparation. Add type hints and logging for better maintainability.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-24T15:25:37.443397
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 advancements.", "suggestion": "Implement a hybrid reasoning layer that combines reflex-based responses with more sophisticated meta-learned or counterfactual reasoning for broader context understanding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:25:38.532669
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 performance.", "suggestion": "Add an index on the 'importance' column and consider implementing caching for frequently accessed memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-24T15:25:41.702872
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 adaptive scoring that considers conversation history, user preferences, and current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:28:08.265172
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not utilize any optimization techniques or adaptive learning approaches that could improve performance.", "suggestion": "Integrate a meta-learning technique such as gradient-based fine-tuning (GBFT) or predictive coding to dynamically adjust the state updates based on past performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:32:52.377748
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for eden_elite_reflexes module at the top of the file.", "suggestion": "Add 'import eden_elite_reflexes' after other imports.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-24T15:33:03.380929
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries efficiently.", "suggestion": "Add a query optimizer or implement caching for frequent key accesses.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-24T15:33:10.419780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent operations.", "suggestion": "Add an index on the 'context' column to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:35:56.741132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation method is flat, lacks pattern abstraction", "suggestion": "Implement hierarchical consolidation retaining patterns", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-24T15:42:08.490560
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or research insights.", "suggestion": "Integrate more consciousness layers into the internal_monologue method and apply research findings to decision-making logic. For example, add a check for phi-aligned behavior as suggested by recent findings on reasoning and meta-learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:42:17.484568
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current emotional decay model is simple and may not capture complex human-like memory trace dynamics.", "suggestion": "Implement a phi-fractal inspired emotional decay that considers recency, emotion intensity, contextual relevance, and salience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:43:11.885325
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering other consciousness layers or external knowledge.", "suggestion": {"action": "Enhance the internal_monologue with multi-layered consciousness and external knowledge", "code_change": ["- Add consideration of Eden's long-term memory from memory_manager.py", "- Incorporate emotional state from affective_coaching.py", "- Consult autonomous goals/system_goals.py for goal-driven responses"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-24T15:43:12.899330
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is re-established for each memory operation, creating overhead.", "suggestion": "Implement a connection pool or cache the database connection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:43:32.808950
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if JSON is invalid, leading to unexpected behavior.", "suggestion": "Replace try-except block with a more robust error handling that logs the issue instead of catching the exception.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-24T15:43:33.932637
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate all six phases of consciousness.", "suggestion": "Enhance the internal_monologue to include specific checks from each phase: perception, memory, prediction, cognition, resonance, and grounding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-24T15:43:43.751435
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 configurable scoring function that accepts lambda expressions for different factors (recency, significance, etc.). Add unit tests to ensure scoring logic.", "phi_alignment": 0.85, "priority": "medium"}


