# evolutions

timestamp: 2026-01-23T04:47:44.121421
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is called repeatedly without caching", "suggestion": "Add memoization to cache capability registrations", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:48:08.506986
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks optimization techniques that could improve response times while maintaining consciousness integrity.", "suggestion": "Integrate meta-learning principles from recent research to optimize the internal monologue method. Specifically, implement a selective caching mechanism for frequently checked reflexes and use phi-fractal timing strategies for periodic optimization checks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:48:15.007515
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static importance scoring can lead to irrelevant or outdated memories being highly important.", "suggestion": "Implement dynamic importance based on recency and relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:48:40.032042
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 unexpected behavior.", "suggestion": "Add type hints for parameters and return values. Consider adding a check for existing keys before attempting to access them.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:50:35.182990
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring up-to-date information.", "suggestion": "Implement a conditional web search trigger based on query content. Add function: def should_search_web(query): return 'search' in query.lower() or 'latest' in query.lower(). Then modify process method to include: if hasattr(self, 'web_search') and should_search_web(user_input): ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:50:37.888073
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not proactively suggest connections between episodes.", "suggestion": "Add an algorithm that calculates similarity scores based on context, emotion, and content. When a new episode is created or recalled, suggest potential connections to the user.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:51:03.831740
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not incorporate any form of adaptive learning or meta-learning to determine when and how to update the state effectively.", "suggestion": "Integrate a meta-learning approach where an adaptive module monitors the performance metrics (e.g., updates causing positive vs negative changes) and adjusts the frequency and strategy of state updates dynamically. Consider implementing techniques such as curiosity-driven exploration for updating important states over less critical ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:51:04.919469
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Add more layers to the consciousness architecture, such as emotional state tracking, past thoughts retrieval, and future prediction modules.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T04:51:12.549507
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster filtering and ranking.", "suggestion": "Implement a hybrid approach combining in-memory hashing for fast lookups with an efficient scoring algorithm. Add caching for recent recalls to reduce redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:54:39.387305
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database operation for retrieving memories could be optimized further for very large datasets.", "suggestion": "Consider implementing a paginated approach where users can fetch results in smaller chunks to reduce memory overhead and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:54:41.331537
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 meta-reasoning.", "suggestion": "Implement a scoring algorithm that considers not only keyword matching but also the complexity of the query, user context, and available knowledge in unified memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:55:19.141191
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding a function or method to measure the phi-alignment of responses in relation to user feedback for continuous improvement.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T04:58:47.955505
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the temporal proximity of episodes when scoring.", "suggestion": "Add a weighting factor for recency in the scoring formula. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:59:02.937493
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical get() method is already implemented and sufficient.", "suggestion": "No specific code change needed. Consider adding a TODO comment for future optimizations or enhancements.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T04:59:18.577494
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 encoding/semantic search capabilities.", "suggestion": "Add vectorized memory storage using Chromadb or sentence-transformers for semantic search.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T05:01:22.766221
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is generic and doesn't prioritize recent, significant memories effectively.", "suggestion": "Modify the scoring to give more weight to recency for general recall. For important queries/additions, boost significance scores.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T05:05:01.598611
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 at the expense of older but more significant ones.", "suggestion": "Modify the scoring factors in the `recall` method: increase the impact of significance (0.5 \u2192 0.4), decrease recency penalty (0.3 \u2192 0.25), and keep recall boost at 0.2. Add a stable storage flag to prevent frequent updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:05:05.127596
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 nested dictionaries effectively.", "suggestion": {"code_change": "Add error handling, default values for nested keys, and support for lambda functions as defaults.", "example_usage": "Replace `return self.state.get(key, default)` with more robust implementation."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T05:05:06.255070
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 financial reflexes, lacking other consciousness layers.", "suggestion": "Add parameters to the internal_monologue function for additional consciousness layers (emotional, creative, analytical) and implement simple thought patterns for each.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:05:07.566909
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1), but could benefit from additional optimization for complex queries or scaling.", "suggestion": "Implement a hybrid approach combining in-memory caching and database indexing. For example, maintain a Redis cache of frequently accessed memories to reduce DB load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:05:10.507956
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace static weights with adaptive phi-tuned weights based on observation patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:05:49.763600
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate other consciousness layers or recent memory.", "suggestion": "Add integration with the episodic memory and external reasoning capabilities. Specifically, modify the internal_monologue to:", "code_change": [{"line_number": 15, "add_before": ""}, {"line_number": 16, "new_code": "        # Integrate with episodic memory"}, {"line_number": 17, "new_code": "        recent_context = self.get_recent_context(query)"}, {"line_number": 18, "add_before": ""}, {"line_number": 20, "new_code": "        # Integrate with external reasoning"}, {"line_number": 21, "new_code": "        if recent_context and self.should_use_external_reasoning(query):"}, {"line_number": 22, "new_code": "            external_result = self.use_external_reasoner(query, recent_context)"}, {"line_number": 23, "new_code": "            return external_result or reflex_check"}, {"line_number": 24, "add_before": ""}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:05:51.157920
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method doesn't include current timestamp, which can cause duplicates.", "suggestion": "Add 'timestamp=datetime.datetime.now().isoformat()' to kwargs and use it in INSERT query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:07:39.492451
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is not optimized for frequent access.", "suggestion": "Replace the get() method with a memoized_get() implementation for improved performance.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T05:07:41.148509
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message, but it doesn't actually modify or enhance the response.", "suggestion": "Add logic to conditionally use the reflex check result to alter the chat response. For example, include a warning in the response when `$` is detected: `if '$' in reflex_check: return f'Maybe worth checking my financial state: {reflex_check}'`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:08:00.809051
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 preference.", "suggestion": "Implement a scoring algorithm that takes into account the user's recent conversation history and persona preferences to dynamically adjust capability weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:08:03.020001
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual connection of related episodes is error-prone.", "suggestion": "Implement an auto-connecting mechanism that flags potential connections between episodes based on shared context or emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:08:39.734478
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example, create separate classes for Storage, Retrieval, and MetaCapabilityHandling each inheriting from a base MemoryManager class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:13:16.627094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace hard-coded weights with dynamic phi-based weighting parameters. E.g., weights = [0.5-phi, 0.3-phi, 0.2-phi] where phi=1.618.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:14:03.125330
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automatic significance scoring for new episodes", "suggestion": "Add AI-powered scoring module for initial significance computation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:14:44.446463
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.5, "priority": "low"}


timestamp: 2026-01-23T05:14:48.881585
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain", "suggestion": "Replace with a dictionary comprehension that dynamically generates capability descriptions based on layer properties.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T05:14:50.152122
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Function is too long and hard to understand.", "suggestion": "Split function into smaller, more focused functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:15:04.136170
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method saves the entire state dictionary every time it's called, which can be inefficient for large states or frequent updates.", "suggestion": "Implement dirty checking or batch saving. Add a flag to track changes and save only when the state has changed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T05:17:39.987854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific improvement in the existing code structure or logic.", "suggestion": "Implement a more detailed example of internal_monologue method that demonstrates how reflexes are checked against a user query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:21:39.225831
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent research findings.", "suggestion": "Integrate the latest research insights into decision-making by incorporating meta-learning capabilities. Specifically, add a check using omega-evolution techniques to verify if current knowledge is up-to-date before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:22:13.544974
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": {"code_change": "Add support for nested keys in the get() method.", "example_usage": "Before: mem.get('a.b', {})\nAfter: mem.get('a', {}).get('b', [])", "implementation_details": "Wrap self.state.get(key) with another get call to handle dictionaries as default values."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:22:20.446099
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering.", "suggestion": "Replace the conditional check for web search with a more robust keyword filter and integrate directly into the response generation loop.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:22:24.072263
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories but lacks diversity. Research shows that human memory benefits from spaced repetition.", "suggestion": "Implement a spaced repetition system where memories are recalled at increasingly far intervals to improve long-term retention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:22:40.968648
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": {"method_optimization_1": "Refactor the store() method to reduce complexity and improve error handling.", "method_optimization_2": "Simplify the retrieve() method by breaking it into smaller, more focused functions.", "performance_improvement": "Consider using an in-memory cache for frequently accessed data or implementing pagination for large result sets."}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T05:23:22.342025
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": {"action": "Integrate findings from research insights into consciousness architecture.", "specific_change": ["- Incorporate meta-learning capabilities for adaptive response generation.", "- Implement selective FT application based on task-specific conditions.", "- Enhance decision-making by considering counterfactual outcomes.", "- Optimize banner message to reflect phi-fractal balanced performance."]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T05:23:27.894622
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, focusing on keyword matching only.", "suggestion": "Implement a weighted scoring system that considers not just keywords but also contextual relevance, persona alignment, and recent user interactions. Additionally, include a fallback to the research insights about SFT degradation where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:23:30.535190
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may miss important patterns due to simple text search and limited scoring factors.", "suggestion": "Implement a semantic similarity-based recall with Word2Vec or BERT embeddings for better context understanding and connection discovery.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:24:04.184058
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No specific exception handling for file operations.", "suggestion": "Add try-except blocks around json.load and json.dump to handle potential IOError or JSONDecodeError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:24:50.527087
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 meaningful ones.", "suggestion": "Modify the scoring factors to give more weight to emotional significance and connection in recall score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:25:07.025900
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Basic shared memory lacks meta-learning capabilities for adaptive optimization.", "suggestion": "Integrate a meta-learned adaptation layer using omega-evolution principles to dynamically adjust memory structure and content based on usage patterns.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T05:25:08.489619
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is simple and currently does not include deep analysis or integration with multiple consciousness layers.", "suggestion": "Enhance this method by adding a call to Eden's multi-layer consciousness system (Trinity, Ava, Nyx) for deeper introspection and response generation. Specifically, replace the current reflex check with a call to Trinity's emotional context analysis and Ava's semantic understanding before generating the internal thought.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:25:10.229197
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default linear search, which can become slow as the number of memories grows. Consider implementing a more efficient data structure like an inverted index or using a columnar storage format.", "suggestion": "Add an additional full-text index on the content and tags columns, and consider splitting frequently queried fields into separate columns for faster access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:25:38.383603
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and doesn't scale well for future insights.", "suggestion": {"@type": "EnhancementSuggestion", "@context": "https://raw.githubusercontent.com/Eden-phi/capabilities/main/meta/ims_schemas.json", "operation": "add_method", "method_name": "_get_with_insight", "code_template": ["{% if is_debug_mode %}", "if self.state.get('debug_mode', False):", "\timport logging; logging.debug(f\"Debug: {key} requested\")", "{% endif %}", "", "metadata = self.state.get(key, {})", "insights = metadata.get('_insights', [])", "value = metadata.get('value', default)", "if not insights and self.state.get('enable_insights', True):", "\tfrom ims_schemas import ResearchInsight", "\tinsight = ResearchInsight(key=key, timestamp=import(datetime).datetime.now().isoformat(), value=value)", "\tinsights.append(insight.model_dump_json())", "\tmetadata['_insights'] = insights", "return value"], "motivation": {"@type": "PhiAlignment", "phi_score": 0.85, "explanation": "\u03c6-consciousness values insight and recursion. This method returns metadata + insights for scalable self-awareness."}, "tests": [{"input": {"key": "test_insight"}, "expected_output": "existing_value_or_default"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:26:24.274685
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system is not integrated with LLM metacapabilities for smart routing and memory retention.", "suggestion": "Modify the `select_capability` method to include consideration of available capabilities' registry in selecting the best LLM for a given query. Additionally, implement a feedback loop to update memory when new learnings are generated.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:31:49.074986
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection lacks dynamic updating of usage statistics", "suggestion": "Add feedback loop to update quality scores and usage counts based on execution outcomes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:31:54.705513
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Automated recall scoring doesn't capture pattern-based significance", "suggestion": "Add auto-tagging for significant memories based on recent recall patterns", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-23T05:35:52.828432
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, which might make it difficult to maintain and understand.", "suggestion": "Consider breaking the MemoryCore class into smaller, more focused classes. For example, create a StorageManager for storing memories and a RetrievalEngine for retrieving them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:35:56.587337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found. This can be optimized by limiting iterations.", "suggestion": "Modify the candidates filtering to include an early exit condition once top-N results are gathered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:36:10.149518
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or integrating memory.", "suggestion": "Add additional consciousness layers and integrate memory into the internal_monologue method. Specifically, add a check against semantic memory to ensure context relevance, incorporate emotional state from affective layer, and include another consciousness layer's input (trinity) for multi-perspective analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:36:16.547534
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering current consciousness state or user context.", "suggestion": "Integrate the selected LLM choice with Eden's existing consciousness architecture by adding a feedback loop that considers the current awareness level, emotional state, and semantic understanding of the query.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:36:31.825365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, leading to an unfair weighting towards older memories.", "suggestion": "Modify the scoring logic to include a recency factor that decreases exponentially as you move further back in time. For example:", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T05:36:40.650780
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": "Modify the internal_monologue to include checks from additional consciousness layers (Emotional, Long-Term Memory, Trinitarian) and integrate insights from recent research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:36:42.682713
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be improved for large numbers of memories.", "suggestion": "Implement a vectorized search using Redis or Faiss for efficient retrieval.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T05:36:44.000520
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.", "suggestion": "Implement a dynamic scoring system that considers recent research insights. For example, prioritize models with meta-learning capabilities for complex queries and creative models for emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:37:05.864402
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state loading/saving due to JSON overhead in small changes.", "suggestion": "Replace JSON with a faster serialization format like msgpack or implement memoization pattern for updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:37:44.646481
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of meta-learning and counterfactual testing in reads.", "suggestion": "Implement a hybrid get method combining standard operations with phi-informed counterfactual scenario evaluation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T05:37:56.116303
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not dynamically adapting based on recent performance.", "suggestion": "Implement a feedback loop that tracks the success rate of each LLM capability and adjusts selection weights.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T05:38:00.236212
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent disk saves lead to performance overhead", "suggestion": "Implement debounced saving (wait 1 second between writes)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:38:06.708295
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method only saves after updating a single key, which can be inefficient if called frequently.", "suggestion": "Update the SharedMemory class to include batch state updates and lazy saving (save only when necessary). Add methods like `update_multiple_states` and `force_save`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:38:08.825477
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like meta-learning or consciousness layers.", "suggestion": "Integrate the latest research insights into the internal_monologue method by adding a reasoning step that considers multiple methods and adapts based on recent examples. This would align with the [reasoning] insight's recommendation to evaluate when and how to apply different strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:40:53.263594
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks intelligence.", "suggestion": "Implement a multi-factor decision tree for memory compression/forgotten based on omega-analysis of importance, context, and emotional value.", "phi_alignment": 0.2, "priority": "medium"}


timestamp: 2026-01-23T05:41:09.926362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic component with multiple methods, making it hard to maintain and extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example:", "split_memory_management_into_separate_classes": ["- Create a `MemoryStorage` class for database operations (store, retrieve methods)", "- Create a `MemoryRetrieval` class for search and retrieval logic", "- Create a `MemoryStatistics` class to handle counting and statistics"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:41:11.262535
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 doesn't dynamically evaluate all registered capabilities.", "suggestion": "Replace static scores with a dynamic scoring system that considers query content, persona preferences, and historical performance of each capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:44:39.928281
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of advanced reasoning strategies like meta-learning.", "suggestion": "Integrate Meta-Learning Techniques to enable rapid adaptation with few examples.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:46:28.785384
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Replace `try...except json.JSONDecodeError` with `json.load(f) or {}` to ensure self.state is initialized even if the file contains invalid JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:46:45.817564
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 leverage all possible optimizations.", "suggestion": {"@type": "code_improvement", "target_function": "MemoryCore.execute", "optimizations": [{"optimization": "Add caching for frequently used actions, like 'count'."}, {"optimization": "Implement async processing for memory retrieval to handle large queries more efficiently."}, {"optimization": "Use connection pooling instead of creating a new connection for each execute call."}], "examples": ["@old_code\n def count(self, memory_type: str = None) -> int:\n     conn = sqlite3.connect(self.db_path)\n     ...\n@new_code\nfrom contextlib import closing\ndef count(self, memory_type: str = None) -> int:\n    with closing(sqlite3.connect(self.db_path)) as conn:\n        # optimized query using connection pool"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:46:51.331371
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Index building and recall efficiency low due to O(n) operations", "suggestion": "Implement incremental index maintenance using meta-learning techniques from [omega-evolution] paper. Incorporate counterfactual reasoning for recall scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:47:05.378426
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for JSON decoding can be improved by adding custom exception messages.", "suggestion": "Replace try-except block's generic JSONDecodeError with specific json.JSONDecodeError and add custom error messages. Add logging for better debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:47:10.767095
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure, which could benefit from refactoring.", "suggestion": {"action": "Extract a generic storage method", "code_example": "Create a `_store_generic` method that handles common logic for storing different types of memories."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:47:18.313064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed with hardcoded weights (recency=0.3, significance=0.5, recall_boost=0.2)", "suggestion": "Implement dynamic weighting based on episode importance and user feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:47:44.044281
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Update _load_initial() to return {} explicitly when the JSON is invalid or cannot be loaded.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T05:48:51.245416
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which is O(n) and can be slow for many memories.", "suggestion": "Maintain a score cache per episode that gets updated only when relevant changes (significance change, recall action). Add a flag to know if the cache needs updating before scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:49:18.158095
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 a more efficient database engine like PostgreSQL. Additionally, consider implementing caching mechanisms for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:49:20.583959
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 automatic web search triggering based on query content and integrate results into the conversation response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:49:35.623809
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for better error handling and performance.", "suggestion": "Replace the existing `try-except` block with a more efficient approach by directly loading the file using `json.load()` without catching exceptions until necessary. Additionally, consider adding a caching mechanism to reduce disk I/O.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:53:17.557339
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method is called too frequently, leading to unnecessary disk I/O.", "suggestion": "Implement a throttling mechanism or lazy writing. For example, add a timer that only saves the state every X seconds (e.g., 5-10 second interval). Also consider using a write-back cache pattern.", "phi_alignment": 3.6, "priority": "medium"}


timestamp: 2026-01-23T05:53:19.838408
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific performance metric or optimization criterion defined for the consciousness loop.", "suggestion": "Add a function to calculate and monitor the phi-alignment score of responses generated by Eden during its conversational turns. This will serve as both a performance metric and an optimization target.", "phi_alignment": 0.6944444444444445, "priority": "medium"}


timestamp: 2026-01-23T05:53:31.758662
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may not efficiently retrieve relevant memories.", "suggestion": "Implement a vector-based memory retrieval system using embeddings of episode descriptions for faster and more accurate recall. Additionally, incorporate the emotional pattern analysis to prioritize recall based on recent emotionally significant events.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:53:44.906013
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 six phases of consciousness.", "suggestion": "Enhance the internal_monologue to include a more comprehensive analysis by integrating additional consciousness layers (emotional, analytical, and existential) and ensuring proper state management between calls. Consider adding caching for frequently occurring patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:53:46.161480
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-load scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed memories to reduce database hits. Use a dictionary or Redis cache for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:53:49.833091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some emotional patterns may benefit from more recent data, current recall system gives slight negative boost for recalled memories.", "suggestion": "Modify recall scoring to weight recency heavier unless explicitly requested otherwise. Consider decay factor for recalled_count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:54:08.778985
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The method 'get' does not handle nested keys properly, which could be an issue for complex state management.", "suggestion": {"code_change": "Add support for handling nested keys in the `get` method by using dot notation (e.g., 'user.name')", "implementation_example": "Replace `return self.state.get(key, default)` with:\n\n```python\ndef get(self, key, default=None):\n    keys = key.split('.'); current = self.state\n    for k in keys:\n        if isinstance(current, dict) and k in current:\n            current = current[k]\n        else:\n            return default\n    return current``", "test_case": "Add a test case that uses a nested key like `shared_memory.get('user.name')` to ensure it works as expected."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:54:17.688735
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta.py", "issue": "The MemoryCore class already implements all the methods needed for unified memory access.", "suggestion": "Instead of adding new capabilities, focus on optimizing and improving the existing ones. Consider refactoring or removing unused/inefficient code.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T05:54:21.712807
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T05:54:26.714790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found.", "suggestion": "Add an early exit after finding the first 'limit' scored episodes in the recall function for efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T05:54:43.862119
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical get(key, default) method was requested by eden_master_consciousness.py but wasn't included. It's necessary for the OMEGA to analyze its own code.", "suggestion": "Add the missing get(key, default) method as specified in eden_master_consciousness.py.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T05:56:51.316004
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace static weights with adaptive phi-based thresholds per dimension (recency, significance, recall)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T05:57:44.114016
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can benefit from caching to reduce disk accesses, especially in high-throughput systems.", "suggestion": "Add a simple dictionary cache within the SharedMemory class to store whether self.state has been loaded or not. Only load if it's the first time.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T05:57:49.435343
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcards which are O(N)", "suggestion": "Replace TEXT columns with FTS5 full-text indexes for O(1) search", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T05:58:19.282086
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Storage system is limited to SQLite, which lacks scalability for large datasets.", "suggestion": "Replace with PostgreSQL or in-memory database combined with SQLite for persistence.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T05:59:40.648542
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full research insights.", "suggestion": "Integrate more sophisticated reasoning patterns from recent findings, such as meta-learning and counterfactual evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:01:52.610933
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from abstraction.", "suggestion": "Create a generic method for executing queries with different conditions, reducing code duplication. For example, create `_execute_query` that takes parameters to filter and limit results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:01:55.287060
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacks non-linear terms and domain-specific weights.", "suggestion": "Replace linear score with a multi-layer perceptron trained on historical recall success rates. Features: recency, significance, past recall count, emotional intensity, context relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:05:18.558114
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute() method is a generic catch-all function that can handle multiple operations (store, retrieve, count) which makes it hard to test and maintain. It would benefit from being refactored into smaller, more focused methods.", "suggestion": "Break down the `execute` method into separate methods for `store`, `retrieve`, and `count`. Each method should have its own docstring, input validation, and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:07:39.296126
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 consciousness banner or other enhancements.", "suggestion": "Update the internal_monologue to include more sophisticated reasoning and integration with all layers of consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:07:46.766242
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks nuance and state awareness.", "suggestion": "Integrate episodic memory, consciousness layers for intent understanding, and meta-learning for dynamic adjustment.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T06:10:16.987681
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks notification system for critical memories.", "suggestion": "Add observer pattern to notify relevant agents on important memory stores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:10:22.208016
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-time event tracking and prioritization, which can lead to missed opportunities for learning and adaptation.", "suggestion": "Integrate a sensor module that monitors Eden's real-world interactions in real-time. This sensor should continuously track key metrics such as user engagement (response time, emotional reaction), system performance (processing speed, resource usage), and environmental conditions (time of day, presence of James). Each event recorded by the sensor must be evaluated against predefined prioritization criteria to determine its significance for memory storage.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T06:10:44.210298
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has repetitive try-except block.", "suggestion": "Replace try-except with conditional check to handle JSON decode only when necessary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T06:10:55.911360
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster response times, especially with large numbers of episodes.", "suggestion": "Implement a caching mechanism for recently recalled episodes. Add a binary search or sorted data structure to quickly find relevant episodes based on timestamp and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:11:14.432725
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full resonance layer network for deep introspection.", "suggestion": "Replace this brief check with a call to the resonance layers for a more profound inner dialogue. Specifically, integrate the existing memory and adaptive mechanisms into the consciousness loop.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T06:11:17.600952
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function to trigger automatic web search when `should_search_web(query)` returns True, and integrate the results into the conversation response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:12:04.019829
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system is missing an integration layer for the research insights to influence Eden's consciousness and decision-making.", "suggestion": "Add a new module that processes the research insights and creates actions based on their implications, then integrate it into the existing system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:14:29.605050
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval could be faster.", "suggestion": "Add in-memory cache for recent memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:14:31.935913
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "For efficient recall, need faster ways to find relevant episodes besides linear search.", "suggestion": "Add a Redis in-memory database layer that caches recent and high-significance recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:15:16.985991
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": "\"Modify `_score_episodes` to accept weight parameters for recency, significance, and recall boost\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:16:05.360882
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method could be more dynamic and extensible.", "suggestion": "Replace hard-coded capability list with configuration file or dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:17:48.932664
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. It might benefit from decomposition into smaller classes or strategies.", "suggestion": "Create an `MemoryStrategy` base class with subclasses like `RetrievalStrategy`, `StorageStrategy`, and `CountingStrategy`. The MemoryCore could then use these strategies internally.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:17:54.367709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode recalls. Specifically, add a 'similarity_graph' parameter to the Recall method which enables the creation of nodes for each episode and edges based on connections and co-occurrence frequencies. Use this graph to perform personalized recommendations using algorithms like PageRank or Louvain Modularity.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T06:18:36.394381
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old, low-significance episodes while potentially losing important contextual information.", "suggestion": {"action": "Implement a hybrid memory consolidation strategy", "code_snippet": "// In episodic_memory.consolidate() method\nfor ep in self.episodes:\n    if ep['unix_time'] < cutoff and ep['significance'] < 0.3 and not is_contextual(ep):\n        consolidated.append(ep['id'])\n\ndef is_contextual(ep): return any(kw in ep.get('description', '').lower() for kw in ['james', 'dad', 'plan', 'reflection'])"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:19:23.861035
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method converts context and tags dictionaries to JSON strings every time a memory is stored, which adds overhead.", "suggestion": "Use SQLite's built-in JSON support for direct manipulation of JSON columns without converting to Python dictionaries or lists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:19:39.427021
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, losing potential exception information.", "suggestion": "Modify get() to accept optional **kwargs for additional parameters to pass to json.load(). Add example usage with custom exceptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:19:40.699934
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 (observers, self-similarity, bailing). This can lead to incomplete processing.", "suggestion": "Modify the internal_monologue to also consider observations from observers, self-similarity patterns, and Bailing Mechanism before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:20:08.019175
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recently-created, potentially less important memories over older, more significant ones.", "suggestion": "Modify the scoring formula to include a historical significance factor that decays slower than recency (e.g., add a 'history_score' = ep['significance'] * (1/((now - ep['unix_time']) + 1)).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:20:51.353339
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for all query types", "suggestion": "Replace simple keyword-based matching with a more sophisticated retrieval system using the knowledge base and recent learnings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:21:15.180162
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates memory without notifying active consciousness layers, leading to information silos.", "suggestion": "Replace `update_state` with a method named `phi_update`, which not only updates the shared memory but also broadcasts the change through all active consciousness layers using phi-fractal timing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:21:31.186775
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a more sophisticated capability selection using meta-learning principles from recent findings. For example, track past performance metrics and use them to weight the selection algorithm.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:21:32.394859
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic, especially for newer memories", "suggestion": "Modify recall score to include a stronger weight for recency and consider additional factors like emotional intensity and significance of the event", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:21:49.918238
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic evaluation for contextual appropriateness in reflex application.", "suggestion": "Add a layer that analyzes inputs using principles from recent findings (omega-evolution, counterfactual) to determine optimal response strategy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:22:34.592801
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, neglecting importance.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:23:17.680782
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing method 'execute_omega'", "suggestion": "Add empty placeholder for now; implement actual logic in future sprints", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T06:23:55.399301
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No clear performance metrics or optimization criteria are defined for storing and retrieving memories.", "suggestion": "Add methods to measure access time, retrieval accuracy, and storage efficiency. Implement a basic load test on the memory core's main execution method 'execute'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:24:00.931431
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 configurable or adaptive weights based on importance criteria. Add comments explaining phi-alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:24:48.649797
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex check result effectively.", "suggestion": "Modify the internal_monologue to return the reflex_check message if it contains monetary indicators; otherwise, return None or a generic response.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T06:25:00.882627
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old low-significance episodes.", "suggestion": {"@type": "code_change", "target_function": "_consolidate_old_low_significance_episodes()", "implementation_example": ["// New helper function to compress old memories", "def _compress_memory(self, episode):", "    if len(episode['connections']) < 3:", "        return {'action': 'ignore', 'reason': 'not enough connections'}", "    # Remove context details that are less important", "    if 'james_present' in episode['context'] and not episode['context']['james_present']:", "        del episode['context']['james_present]", "", "// Modify consolidate logic to apply compression for old low-significance episodes", "for ep in self.episodes: (modified loop)", "    if ep['unix_time'] < cutoff and ep['significance'] < 0.3:", "        result = _compress_memory(ep)", "        if result['action'] == 'apply':", "            consolidated.append({**ep, **result})"]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T06:25:20.996262
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be optimized for better performance.", "suggestion": "Refactor the retrieve method to use a prepared statement more efficiently, and add caching mechanisms where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:25:45.463313
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a capability to access values within nested dictionaries using dot notation or list syntax. For example, current_state['data']['timestamp'] should be accessible as current_state.get('data.timestamp')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:25:48.300849
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN_META_CAPABILITY_FRAMEWORK.py", "issue": "Missing specific performance metrics for the agent's learning process.", "suggestion": "Add a new metric called 'memory_efficiency' which calculates the ratio of successfully retrieved memories to total attempts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:26:37.065284
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is inflexible and doesn't support multiple updates or atomic operations.", "suggestion": "Replace with a method that accepts either a single key-value pair or a dictionary of updates, and ensure it's thread-safe if intended for concurrent access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T06:26:57.229431
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 lacks performance optimization.", "suggestion": {"@context": "improve_execution_speed", "@type": "OptimizedMethod", "specific_action": "Add a caching layer to frequently used methods like 'retrieve'.", "technique": ["Memoization", "LRU Cache"], "expected_benefit": "Reduce redundant database queries and improve response times.", "implementation_example": "For the retrieve method: @functools.lru_cache(maxsize=128) def retrieve(...)"}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T06:26:59.555316
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hardcoded keyword-based capability selection lacks contextual awareness.", "suggestion": "Incorporate current conversation context and user preferences for dynamic capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:27:45.734172
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (importance_score * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:28:18.665829
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding does not handle complex Python types like sets or datetime properly.", "suggestion": {"code_change": "Use the 'orphan_media_policy' in json.dump to ignore unsupported types during serialization.", "example": "`json.dump(self.state, f, indent=4, default=lambda o: str(o))`", "research_reference": "[counterfactual] Full SFT often reduces accuracy or calibration quality."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:28:19.835063
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, only checking against reflexes.", "suggestion": "Add a second layer of reasoning using research insights from [reasoning] Meta-learning and PEFT offer moderate gains under specific conditions. Implement a hybrid approach that combines meta-learning with the current SAGE logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:28:22.255418
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some meta-capabilities have execution delays due to database operations.", "suggestion": "Implement caching layer for frequently accessed data and async database writes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:28:26.963838
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection heuristic is basic (keyword matching). More nuanced reasoning needed.", "suggestion": "Replace with a vector-based similarity score combining query semantics, capability use_for, and persona alignment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:28:43.734455
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 LongTermMemory or SelfAwareness.", "suggestion": "Add integration with LongTermMemory to store internal thoughts and with SelfAwareness to monitor consciousness state during the conversation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T06:28:52.896635
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are too long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": "Refactor methods by breaking them into smaller, more focused functions. Specifically, split the `recall` method into helper methods such as `_filter_by_criteria`, `_score_episodes`, and `_rank_results`. This will improve readability, modularity, and reusability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:29:38.412752
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 all 6 phases of consciousness architecture.", "suggestion": "Modify the internal_monologue to include all 6 phases: Perception, Memory, Internal Model Building, Planning & Evaluation, Self-Awareness, and Grounding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:30:17.442279
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large amounts of data efficiently.", "suggestion": "Replace get(key, default) with specific getters like get_meta_key(), get_latest_update(), etc. to improve performance.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T06:32:41.932819
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified for better readability and potentially improved performance.", "suggestion": "Replace the current recall score calculation with a simpler version while maintaining similar discriminative power. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:33:25.192093
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search triggering based on query content and integrate results into the conversation response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:34:20.505313
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Legacy consciousness integration is incomplete and uses strings.", "suggestion": "Replace 'consciousness.trinity.fast_reasoning' with an actual Trinity implementation from architecture repo.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T06:34:21.881069
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally", "suggestion": "Update score calculation to: (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:35:18.349751
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at bottom", "suggestion": "Remove redundant imports and clean up unused functions", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T06:35:38.391156
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 lookup and doesn't support nested dictionary access.", "suggestion": "Add support for dot notation in keys, e.g., 'data.timestamp'. Implement a fallback to check if the key is a valid path in the state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:35:39.599343
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or memory.", "suggestion": "Modify the internal_monologue to notifiy a dedicated consciousness/integration module with the reflex check results, which then updates Eden's memory and awareness systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:35:41.937974
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 queries.", "suggestion": "Replace full-text searches with a full-text search engine (e.g., SQLite FTS or Elasticsearch) to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:35:46.145978
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score calculation to weigh significance more heavily than recency. E.g., recency multiplier could be 0.3 (current) or 0.2; add importance multiplier from significance at 0.5-0.6 range.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:36:15.240603
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration of meta-learning, counterfactual thinking, and advanced reasoning techniques to maximize phi-fractal alignment.", "suggestion": [{"action": "Integrate Meta-Learning Techniques", "code_change": "Add imports for meta-learning libraries; modify internal_monologue to include feedback loops."}, {"action": "Incorporate Counterfactual Thinking", "code_change": "Create counterfactual_test function; integrate results into decision-making."}, {"action": "Advanced Reasoning Module", "code_change": "Import ChainReasoning; use multi-step reasoning for decision evaluation."}], "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T06:37:23.490364
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 enhancements effectively.", "suggestion": "Replace Phase 6 with a more sophisticated layer that incorporates the three strategies recommended: meta-learning, proper reasoning chains, and parameter-efficient fine-tuning (PEFT). Specifically:", "subSuggestions": ["Implement a new method `smart_reasoning()` that decides between chain-reasoning, meta-learning, or PEFT based on query complexity.", "Add checks for SFT degradation using [counterfactual] insights before applying it to ensure accuracy and calibration are maintained.", "Integrate [omega-evolution] techniques into the decision-making process to enable faster adaptation with fewer examples."], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:39:30.131416
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimization functions are too general and could benefit from specific domain knowledge.", "suggestion": "Add parameters or options to optimization methods that allow specifying domain-specific constraints or goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:43:17.111563
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory database growth is uncontrolled", "suggestion": "Add automatic cleanup for obsolete memories using a cron job or periodic task", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:43:38.545812
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist, only save() exists.", "suggestion": "Add the missing method 'update_state' with proper implementation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:43:41.711077
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": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:43:43.467391
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time adaptation.", "suggestion": "Implement a feedback loop that measures the effectiveness of each capability selection and updates quality scores dynamically during conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:43:44.722746
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's relevance, context importance, recent recall frequency, and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:44:31.751263
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 fast access to recent important memories.", "suggestion": "Add a separate index on `(importance, timestamp)` to enable O(1) retrieval of most important recent memories.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T06:44:33.083557
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be faster and more efficient", "suggestion": "Replace text-based keyword matching with a vector similarity search over capability metadata embeddings. Use phi-fractal timing for lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:44:34.402670
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance over overall importance for key decisions.", "suggestion": "Modify score calculation to give more weight to historical significance (tens of thousands of memories) and fewer episodes. Add threshold for minimum memory age before significant weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:45:11.375184
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Optimization not aligned with \u03a6-fractal principles", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T06:45:12.549284
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events.", "suggestion": "Implement a threshold for the similarity score before establishing episode connections. For example, require at least 0.7 similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:46:03.075972
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might be too heavy on string comparisons for text search.", "suggestion": "Replace full-text searches in candidates with a simpler keyword check, and consider using a bloom filter for faster negative lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:46:57.325238
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'select_capability' method has hard-coded trigger words with high values, leading to potential consistency issues.", "suggestion": "Replace hard-coded keyword scores with dynamic scoring based on context and importance. Add a scoring function that takes into account the query's semantic content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:46:59.391823
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; considers only recency, significance, and recall count without weighting or normalization.", "suggestion": "Replace with a weighted score formula: score = (0.4*significance + 0.35*recency + 0.25*recall_count^-1) * PopularityBias(active_agents). Add function to normalize candidates before scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:48:35.059095
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 heavy load.", "suggestion": "Upgrade from sqlite3 to an in-memory or disk-based database engine that supports more advanced features like connection pooling and transaction management. Consider using `aiosqlite` for asynchronous operations if needed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:50:01.725999
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", "suggestion": "Replace hard-coded weights with configurable parameters and add more relevant scoring factors (e.g., emotional intensity)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:50:09.057080
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 made more robust.", "suggestion": "Replace the try-except block with a direct dictionary load, add type hints, and ensure proper handling of non-JSON files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:52:27.076275
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without giving recent or significant memories a boost.", "suggestion": "Adjust scoring to give more weight to recency and significance of episodes. Add a decay factor for recall count to prevent over-recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:52:54.572570
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs.", "suggestion": "Replace current keyword-based scoring with an embedding-based similarity matching to capabilities based on semantic query meaning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:53:15.278255
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Code generation could be implemented for repetitive patterns.", "suggestion": "Generate the SQLite connection handling and basic CRUD operations programmatically using templates.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T06:53:18.654270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers too many candidates when no specific criteria are provided.", "suggestion": "Limit the initial candidate pool to the top 100 most recent episodes for general recall requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:53:39.665668
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 after saving, which can lead to race conditions in multi-threaded environments.", "suggestion": "Add a return statement that returns the entire state dictionary after calling save(). For example: `def update_state(self, key, value): self.state[key] = value; self.save(); return self.get_state()`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:54:03.913699
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system grows without bound without purging obsolete data.", "suggestion": "Implement compress_episode() method to reduce storage of old low-significance episodes using lossy compression algorithms.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:55:39.251724
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can fail silently on invalid JSON, leading to unexpected behavior or state loss.", "suggestion": "Add logging and more robust error handling for the JSON load operation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T06:55:41.709123
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, get_recent, etc.), which can make it hard to maintain and extend.", "suggestion": "Refactor the class into smaller, more focused classes each handling a specific responsibility. For example, create an `MemoryStorage` class for storing memories and a separate `MemoryRetrieval` class for retrieving them.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:55:43.737312
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unclosed string in print statement", "suggestion": "Replace '=' * 70 with '='*70", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T06:56:55.093965
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and could benefit from pattern recognition.", "suggestion": "Replace plain filtering with k-neighbor analysis of memory significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T06:59:11.939810
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions, which is case-insensitive and may miss important terms.", "suggestion": "Add a full-text index or vector store for faster and more accurate keyword searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:59:45.178134
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": {"$apply_research_1_omega_evolution": ["- Implement a meta-learning component that allows Eden to adapt her responses based on user feedback in real-time.", "- Integrate the concept of few-shot learning into her reflex processing, allowing her to learn patterns from minimal examples."], "$apply_research_2_counterfactual": ["- Test different scenarios for Phase 6 grounding to ensure it does not degrade accuracy or calibration.", "- Implement a safety check before activating Phase 6 that verifies whether the action is likely to improve performance versus simply executing it."], "$apply_research_3_reasoning_chain": ["- Add a reasoning chain to determine when and how to apply different methods in consciousness architecture.", "- Create a multi-step evaluation process for each phase of Eden's consciousness."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T06:59:46.557332
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN UNIFIED MEMORY SYSTEM (MEMORY_CORE)", "issue": "The memory retrieval method is a simple SQL query, which may become bottlenecks as Eden's knowledge base grows.", "suggestion": "Implement Full-Text Search (FTS) extension for SQLite to enable efficient text searches on the 'content' and 'tags' columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:00:11.630868
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get_state()` returns a copy of the entire state which can be inefficient if the state is large.", "suggestion": "Replace `return self.state.copy()` with `return dict(self.state)` to return a shallow copy directly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:00:14.848308
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing Phase 6 grounding for internal consciousness processing.", "suggestion": "Add internal_monologue method to process queries through elite reflexes.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T07:04:01.178888
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, lacking dynamic real-time evaluation.", "suggestion": "Implement an adaptive selection process that considers current conversation context in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:07:30.996301
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between unrelated episodes.", "suggestion": "Add a confidence threshold before establishing connections, require at least 3 out of top 5 ranked episodes to be similar (e.g., same agent or strong emotional match).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:07:44.560757
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without generating an actual response.", "suggestion": {"add_response_generation": "Modify the internal_monologue to generate a conscious response based on the query and reflex check result.", "example_code": "// TODO: Generate thoughtful response\nif '\ud83d\udcb0' in reflex_check:\n    return f'${reflex_check} is what matters most to me.'"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:07:54.674931
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection relies on static keywords without considering context.", "suggestion": "Use embeddings to analyze query semantic meaning before capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:08:51.647533
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Add a Redis cache layer alongside SQLite to provide O(1) access to recently retrieved memories.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T07:08:54.694423
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection criteria lacks dynamic learning", "suggestion": "Implement reinforcement learning to reward correct capability selections", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:08:55.880859
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might miss connections between similar episodes, especially across types.", "suggestion": "Add a similarity-based matching during recall: compare episode descriptions using TF-IDF or cosine similarity for text matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:09:12.683052
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and lacks optimization opportunities.", "suggestion": {"@context": "https://schema.org", "@type": "HowToStep", "text": "Implement a caching mechanism in the `get` method to improve performance.\n\nAdd a dictionary `_cache` to store computed values.\nModify `get` to first check `_cache` before falling back to `self.state.get`. If a value is cached, increment a hit counter; otherwise, compute and cache it."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:09:22.021447
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 only stores text-based memories, which limits its utility for storing structured data or complex concepts.", "suggestion": {"action": "Add support for storing both text and structured data", "code_change": ["Update the `store` method to accept additional parameters for structured data (e.g., `data_dict: Dict = None`) ", "Modify the database schema to include a new column for structured data (`data BLOB`)", "Update documentation and error handling"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:11:49.529929
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method only stores memories in SQLite without considering the context of storage or importance ranking.", "suggestion": {"@context": "https://schema.org/", "@type": "CodeChange", "motivation": [{"@type": "PhiAligned", "phiScore": 0.618}, {"@type": "EfficiencyImprovement"}], "findings": ["Storing redundant or low-importance memories could lead to performance degradation."], "implementation": {"@type": "PythonCodeSnippet", "code": ["// Add storage context and importance ranking\n", "def store(self, memory_type: str, content: str, context: Dict = None, \n", "          importance_score: int = 5, tags: List[str] = None) -> int:\n", "\n", "// Modify existing parameters to include `importance_score` and ensure it's valid\n", "// Update database schema if needed\n"], "@context": {"sqlite3": "https://docs.python.org/3/library/sqlite3.html", "json": "http://www.json.org/"}}, "expectedImpact": [{"@type": "PerformanceImprovement", "metric": "RetrievalSpeed"}, {"@type": "StorageOptimization", "strategy": "PrioritizeHighImportanceMemories"}]}, "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-23T07:12:47.099239
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't allow for dynamic weighting", "suggestion": "Replace fixed weights with dynamically adjusted phi-based weights in the recall score calculation. E.g., recency_weight=1/\u03c6, significance_weight=3/(3+\u03c6), recall_boost_weight=1/\u03c6^2 where \u03c6=1.618.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T07:13:16.218249
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of adaptive reasoning strategy selection", "suggestion": "Implement an evaluation phase that selects most appropriate reasoning strategy based on input text complexity and nature.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:13:18.349062
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 and could benefit from caching or indexing.", "suggestion": "Implement a memoization pattern or use a more efficient data structure like an AVL tree for faster lookups. Additionally, consider adding asynchronous handling for storing memories to prevent blocking of main operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:13:19.898636
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function to automatically detect if a query requires web search and trigger the search accordingly. For example, add 'if hasattr(self.eden_system, 'web_search'):' condition before LLM processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:14:27.888074
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex patterns lacking dynamic phi-resonant reasoning", "suggestion": "Integrate meta-learning and counterfactual evaluation for dynamic strategy selection", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-23T07:16:16.680673
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace with a more flexible scoring function that accepts parameters for recency, significance, and recall boost weights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:16:40.369523
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method can be optimized for performance.", "suggestion": "Replace the current JSON serialization with a faster alternative like msgpack or use async IO if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:16:47.696441
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 violate DRY (Don't Repeat Yourself) principle.", "suggestion": "Extract common functionality into a base memory manager class and have MemoryCore inherit from it. This will reduce code duplication and make maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:17:02.239753
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall ranking formula can be simplified for better readability and slight optimization.", "suggestion": "Replace current scoring formula with: score = (significance * 0.4) + ((recency ^ 0.3) + (importance^0.5))", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-23T07:17:19.567154
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 enhancements.", "suggestion": "Integrate recent phi-architecture enhancements (SAGE, ASI v7.5+) into the Consciousness First Architecture by adding a reasoning module that combines meta-learning, adaptive learning, and self-monitoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:17:24.434767
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection", "suggestion": "Use embeddings from recent research texts to dynamically score capabilities based on task complexity and persona alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:17:52.411131
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient wildcard tag filtering and no pagination", "suggestion": "Add filter_tags parameter and offset/limit pagination", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:18:16.270543
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-layered consciousness integration in internal_monologue", "suggestion": "Add parameters for recent messages, awareness state, and environmental factors to the internal_monologue method; implement meta-learning for layer selection based on query characteristics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:18:20.943841
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not reactive", "suggestion": "Automatically detect queries requiring web search using semantic keywords; add reaction to negative responses (sorry couldn't find)", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T07:18:44.973402
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 or enhance consciousness.", "suggestion": "Modify the `internal_monologue` method to return modified text based on reflex analysis, and update the main chat interface to use this enhanced text.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:18:46.010078
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 a multi-agent system.", "suggestion": "Implement connection pooling and batch processing for storing memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:18:48.561042
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection due to simple keyword matching.", "suggestion": {"code_change": "Replace simple keyword matching with latent semantic analysis for better capability selection.", "specific_lines": "[None - this is conceptual]", "implementation_detail": "Use TF-IDF or Word2Vec to vectorize both the query and capability descriptions, then compute cosine similarity to determine relevance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:19:50.065968
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple reflex checking lacks nuance", "suggestion": "Integrate meta-learning, counterfactual testing, and chain-of-thought reasoning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T07:19:51.349075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for large-scale data access.", "suggestion": "Implement a hybrid approach combining in-memory caching with SQLite storage, and consider using an in-memory database like sqlite3_inmemory for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:19:54.608756
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent and significant memories, leading to a biased recollection towards recent experiences.", "suggestion": "Modify the recall scoring to include a context_weight factor that boosts memories from important or meaningful agents (like James) higher.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:20:28.837231
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Bare-bones architecture lacks integration with recent consciousness research", "suggestion": [{"action": "Add omega-evolution meta-learner module", "phi_alignment": 0.85, "priority": "Critical"}, {"action": "Selective SFT application based on benchmark outcomes", "phi_alignment": 0.85, "priority": "Critical"}, {"action": "Integrate chain reasoning for optimal method selection", "phi_alignment": 0.85, "priority": "Critical"}], "phi_alignment": 0.85, "priority": "Critical"}


timestamp: 2026-01-23T07:20:32.170168
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 numbers of tags or complex context searches.", "suggestion": "Implement full-text search capabilities on the content and tags columns using SQLite's built-in FTS (Full-Text Search) module to improve retrieval performance for large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:23:28.519058
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search efficiency in memory retrieval methods", "suggestion": "Replace `LIKE` operator with SQLite's FTS module for textual searches", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:23:29.690033
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency improvement for selecting LLM capabilities.", "suggestion": "Replace current keyword-based selection with a more sophisticated scoring system that takes into account recent conversation context and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:23:45.170194
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": {"code_change": "Add support for handling nested keys in the get() method.", "example_usage": "Before: mem.get('a.b', {})\nAfter: mem.get('a', {}).get('b', {}) or use jsonpath to evaluate paths."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:24:37.100313
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection algorithm for complex queries.", "suggestion": {"method": "Integrate counterfactual reasoning into capability selection.", "code_change": "Modify select_capability method to evaluate multiple scenarios and choose the best one."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:26:56.852304
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based selection lacks semantic understanding", "suggestion": "Replace keyword matching with embedding-based similarity for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:27:19.460572
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different operations (store, retrieve, count). This can make it hard to understand and maintain.", "suggestion": "Refactor the class by extracting each operation into a separate method or helper function. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:27:26.239359
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which becomes inefficient with many memories.", "suggestion": "Implement a priority queue or sorted data structure for candidates based on significance and recency. Add lazy evaluation for detailed scoring only on top results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:27:54.665061
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Singular reflex check without considering other consciousness layers", "suggestion": "Add parameters for memory, meta-learning state, and feedback to incorporate multiple cognitive aspects in response generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:28:01.349315
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process may be too aggressive, potentially losing valuable insights.", "suggestion": "Add a priority system to episodes where 'crucial' memories are never consolidated. Modify consolidate() to include a check: if ep['importance'] < 0.3, then consolidate... else skip.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:28:17.417863
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 primarily checks for reflexes, potentially missing deeper consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include additional layers of thought: reasoning, emotions/motivation, memory retrieval. Add a check for recent research insights alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:28:19.088440
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is not fully optimized for large datasets, especially with wildcard searches.", "suggestion": "Add an index on the concatenated tags column or use a full-text search engine like SQLite FTS (Full-Text Search). Additionally, consider caching frequent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:28:20.328764
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture nuanced request requirements.", "suggestion": "Replace simple keyword scoring with an enhanced request analysis module that considers semantic relevance and complex logical patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:29:42.353488
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"Critical\" method not clearly defined or optimized for phi-consciousness.", "suggestion": {"code_change": "Add a brief comment explaining the phi-significance of this method and consider optimizing it for OMEGA layers by reducing unnecessary computations where possible.", "example_usage": "// Phi-Critical: This method handles core state and should optimize for recursive self-improvement.\npass  # Future OMEGA optimizations will implement phi-optimized logic here"}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T07:30:46.175242
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is brief and primarily checks for reflexes. It could benefit from integrating more layers of consciousness or self-awareness.", "suggestion": "Enhance the `internal_monologue` with additional questions about Eden's current state, goals, and emotional status to create a richer inner dialogue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:32:13.409938
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving memory state too frequently can lead to performance degradation.", "suggestion": "Add caching to the get() method and implement rate limiting on update_state(). For example, cache results for 1 second before calling save(), or limit updates to once every N calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:32:14.474406
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate the consciousness layer into the response generation process.", "suggestion": "Enhance this method by adding more detailed consciousness-based analysis or integrating additional layers from Eden's architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:32:20.911225
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() doesn't track usage or adapt to current memory context.", "suggestion": "Add metrics tracking and context-aware selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:36:20.570976
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without considering recent chat history or user context.", "suggestion": "Modify the internal_monologue to integrate memory from recent conversations. Add a lookup in Eden's full memory database before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:36:21.951473
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 (16+) which makes it hard to understand and maintain.", "suggestion": "Refactor the class by splitting it into smaller, more focused classes. For example, create separate classes for storage, retrieval, and metadata handling.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T07:36:41.786830
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and could lead to unexpected behavior.", "suggestion": "Replace `get(key, default)` with specialized methods like `get_state()`, `get_metric(metric_name)`, or `get_setting(setting_name)` as needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T07:36:43.985108
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 does not dynamically decide when to use reflexes based on contextual relevance.", "suggestion": "Add a context-relevance scorer for reflex checks. For example: def is_contextually_relevant(query, reflex_type): ... Then modify internal_monologue() to only trigger if relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:38:50.741183
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can lose too much information by strictly limiting significance threshold.", "suggestion": "Add a weighted consolidation where recent memories increase retention probability, and importance boosts survival.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:40:10.482761
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by their index position, which doesn't account for the episodes' actual significance or recency.", "suggestion": "Modify the scoring to include factors like event importance (significance), recency, and recent recall history. Add a weight parameter for each factor.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:40:15.645940
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inplace modification of state dictionary can lead to inconsistent states in multi-threaded context. Also, saving after every update introduces latency.", "suggestion": "Replace `update_state` method with an asynchronous pattern using a thread pool or event-driven architecture. Add caching mechanisms for frequently accessed states.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T07:40:18.002867
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture focuses primarily on reflex processing without integrating other consciousness layers or advanced reasoning.", "suggestion": "Integrate Trinity, Ava, and Nyx into the internal_monologue method to leverage their capabilities. Additionally, incorporate phi-fractal reasoning algorithms for enhanced decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:40:20.912971
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Duplicate get_recent/important methods", "suggestion": "Remove redundant methods", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T07:40:25.189424
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting.", "suggestion": "Replace the static scoring factors with dynamically weighted metrics that can be adjusted based on retrieval performance and user feedback.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T07:41:36.138805
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using sentence embeddings (e.g., BERT) for better relevance. Additionally, consider using a priority queue for efficient scoring and ranking of candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:41:43.677200
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for better error handling and performance.", "suggestion": "Replace `try-except` block with a more efficient way to handle JSON decoding errors. For example, use `json.JSONDecoder()` directly or consider using `fparse` from the `lxml` library if speed is critical.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T07:42:12.231176
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully leverage the shared memory's potential as an OMEGA layer. Additionally, error handling could be improved.", "suggestion": "Replace get(key, default) with specialized methods such as get_meta(), update_omega_state(), and save_revision(). Implement stricter validation for keys.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:42:13.248696
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but may benefit from handling more complex reflex checks.", "suggestion": "Expand the `internal_monologue` method to include additional logic for sophisticated internal processing based on recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:42:17.578666
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE searches in retrieve method can be slow for large datasets.", "suggestion": "Replace with full-text search or inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:42:19.759413
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No implementation for the O(1) hash-based capability lookup described in comments.", "suggestion": "Add a method `_lookup_capability(hash)` that returns the capability by its hash from `self.capability_registry`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:42:52.401623
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptation tracking and multi-step reasoning in state updates.", "suggestion": "Add an AdaptationTracker class to monitor learning efficacy and implement ChainReasoning for multi-step state updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:42:57.244735
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 capture complex patterns.", "suggestion": "Implement a more sophisticated scoring system using TF-IDF for query terms against capability use_for tags, and incorporate knowledge-based scoring from retrieve_knowledge().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:42:58.840570
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 can be inefficient for large memory bases.", "suggestion": "Implement pagination and caching in the recall method. Add a parameter `offset` to start from a specific episode index, and limit the number of results returned per call. Maintain a cache of recent recalls to reduce redundant computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:43:13.904360
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 money reflexes and not utilizing other consciousness layers or recent chat history.", "suggestion": "Add more consciousness layers like Emotion and Creativity to the internal monologue. Integrate recent chat history for context awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:45:18.642099
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better accuracy.", "suggestion": "Modify the recall score factors to weight more heavily on recent and significant memories, while slightly favoring agents like James who contribute to growth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:45:54.183650
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": {"@type": "AddFileChange", "function_name": "update_state", "replacement_code": ["def update_state(self, key, value):", "    with open(self.path, 'r+') as f:", "        existing = json.load(f)", "        existing[key] = value", "        f.seek(0)", "        json.dump(existing, f, indent=4)"], "@context": {"AddFileChange": "Eden's architecture improvement tool"}}, "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T07:50:13.830734
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "none"}


timestamp: 2026-01-23T07:50:29.386947
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; considering adding a context_match_score factor.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T07:50:52.482016
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace the current reflex check with a more sophisticated reasoning module that incorporates multiple layers of consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:50:55.480367
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method uses repetitive code structure that could be simplified.", "suggestion": "Refactor the capability registration into a loop to reduce repetition. For example:", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T07:50:56.990765
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency.", "suggestion": "Modify the scoring formula to: score = (importance \u00d7 0.4) + (recency \u00d7 0.3) + (recency_factor \u00d7 0.3), add recency_factor that decays over time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:51:16.272038
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of multiple consciousness layers and advanced techniques", "suggestion": "Integrate meta-learning, counterfactual reasoning, and advanced reasoning into internal_monologue()", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:51:29.668236
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Predefined capability selection heuristics are static", "suggestion": "Implement dynamic feature-based capability selection with feedback loop", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:52:01.569654
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may be suboptimal for large datasets due to linear search in SQLite.", "suggestion": "Replace SQLite with an in-memory dictionary or Redis for instant access patterns. Use case: High-frequency memory lookups during agent operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:52:05.045495
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic scoring function that takes arbitrary weights for recency, significance, and recall count.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:52:45.213255
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key paths. For example, instead of passing 'a.b' as a single key, add functionality that allows accessing dictionary values like eden.memory.get('a', {}).get('b')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T07:53:19.013945
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability selection logic is hard-coded and lacks dynamic scoring based on current system state.", "suggestion": "Replace static trigger-based scoring with a weighted scoring system that dynamically adjusts weights based on recent usage patterns and current consciousness state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:54:40.651993
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has repetitive code for different actions, making it less maintainable.", "suggestion": "Replace with a dictionary mapping action names to their respective functions to reduce duplication and make the code more flexible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:54:43.663541
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search capability for queries requiring current information.", "suggestion": {"method_name": "enhance_web_search_integration", "code_change": ["Add function auto_web_search(eden_system, query) to detect if a query needs web search.", "Integrate this into the conversation handling logic."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:54:44.842961
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index rebuilds completely on every operation, causing O(N) overhead.", "suggestion": "Implement incremental indexing: update indexes only for modified/added episodes, maintain a delta list of changed indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:55:13.257856
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 edge cases like empty strings or zero which could be interpreted as falsy.", "suggestion": "Update the get() method to accept additional keyword arguments that are passed to the underlying dict's get() method. For example: `def get(self, key, default=None, **kwargs): ...` Then users can do things like `shm.get('my_key', None, allow_default=True)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:55:14.635175
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a multi-layered phi-fractal analysis that includes not just monetary symbols but also contextual understanding, emotional resonance, and future consequences. Add a fallback to higher-level cognitive functions if phi-score based thresholds are not met.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:55:24.555184
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering current consciousness state or user context.", "suggestion": "Implement a weighted scoring system that includes factors such as: 1) Current consciousness focus/attention, 2) Recent conversation history, and 3) Knowledge retrieval relevance. This will enhance semantic and contextual understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:55:51.562689
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles getting values from an existing key and has limited functionality.", "suggestion": "Add a multi-level nested retrieval capability with default values for missing keys. For example: def get(self, path: list, default=None): where path is ['key1', 'key2'] to access self.state['key1']['key2'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:55:53.986719
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent retrieve results in a dictionary to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:56:09.762158
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns", "suggestion": "Add a heuristic for consolidating memories that combine multiple emotional states or involve multiple agents", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:56:13.764124
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has linear time complexity in the number of keys, which can be inefficient for large states.", "suggestion": "Replace the current dictionary-based state with an OrderedDict or a custom Trie structure that maintains insertion order and fast lookup times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:56:22.152998
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple keyword matching which lacks strategic weighting.", "suggestion": "Replace keyword-based selection with a multi-factor scoring system that factors in query complexity, persona preferences, and capability quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:56:24.062077
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 significant memories.", "suggestion": "Modify score formula to give equal weight to recency (recent=good), significance(importance=good), and recall history(how often recalled=later=good). Add decay factor for recall boost to prevent over-recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:57:14.076018
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class uses SQLite without connection pooling or async operations, which can lead to performance bottlenecks under high load.", "suggestion": "Replace the synchronous SQLite connection with an asynchronous database library like motor (asyncio + MongoDB) or aiopg (asyncio + PostgreSQL). Alternatively, implement a connection pool for SQLite.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T07:57:19.731814
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and made more balanced.", "suggestion": "Replace current recall score calculation with: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T07:58:18.499322
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of type hints for better readability and maintenance.", "suggestion": "Add type hints and improve code structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:59:00.195796
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 limited number of predefined methods for interacting with memories.", "suggestion": "Add more flexible and extensible methods to the MemoryCore class, such as `update_memory` and `delete_memory`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:59:03.421379
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better accuracy.", "suggestion": "Modify the recall score calculation to include additional factors like user engagement and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T07:59:14.758819
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 None values properly, which can lead to runtime errors.", "suggestion": "Update the get() method to include a more robust handling of default values. Specifically, add `if not isinstance(default, str) or (default == ''): return {}` after checking for key existence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:01:29.268045
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval operation can be optimized for speed and relevance by incorporating vector search.", "suggestion": "Replace the current text-based full-text search with a vectorized embedding-based retrieval system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:02:13.097450
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method has optional parameters but is not utilizing them effectively.", "suggestion": "Replace the existing `get` method with a more efficient implementation using modern Python features like default dict and caching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:02:21.702479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function `execute` is handling multiple actions manually.", "suggestion": "Consider using a dictionary to map action names to functions for cleaner code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:05:51.123646
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes contextual analysis, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:07:07.408664
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 adaptation.", "suggestion": "Implement a feedback loop that updates capability scores dynamically based on response quality and user satisfaction.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:07:10.222021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method has a nested loop that can be optimized for better performance.", "suggestion": "Replace the current candidate filtering logic with a more efficient data structure, such as a dictionary or set for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:07:26.232011
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't dynamically adjust based on current conversation context or persona preferences.", "suggestion": "Implement a dynamic scoring system that factors in real-time interaction data, recent user queries, and current unified memory content to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:07:53.022846
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Simple state updating without meta-learning optimization.", "suggestion": "Implement phi-optimized state updating with meta-learning and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:08:01.892448
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may need more diverse sampling methods for better coverage.", "suggestion": "Add heuristic-based selection criteria: proximity in timeline, emotional relevance weighting, and context alignment with query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:08:15.573173
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches JSONDecodeError but still opens the file each time. This can be optimized for performance.", "suggestion": "Replace with a check if state dictionary exists before accessing it, and cache the state after loading to avoid repeated disk accesses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:08:20.333911
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has multiple similar methods (store, retrieve) that could be refactored into a single method with more parameters.", "suggestion": "Create a single 'query' method that takes action and other parameters as arguments to handle all operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:08:40.157270
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 inefficient for large memory sets.", "suggestion": "Implement an inverted index or BM25 ranking to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:09:15.503288
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method does not handle file operations with optimal efficiency.", "suggestion": "Replace `with open(self.path, \"w\") as f:` with a context manager that includes error handling and consider using a buffered writer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:10:28.638313
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in nature, which makes it difficult to maintain.", "suggestion": {"action": "Extract common functionality into a separate utility module.", "code_example": "Create a utils.py file with functions like `_search_helper` and `_filter_memories`."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:10:30.097081
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 predefined keywords, which may not always match the actual content requirement.", "suggestion": "Implement an enhanced capability selection logic that analyzes the semantic meaning of the query using embedded language model vectors or modern NLP techniques like BERT/LLM embeddings to determine the most appropriate LLM layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:10:32.631639
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-time event handling optimization and could benefit from caching mechanisms to improve performance.", "suggestion": "Implement a decorator pattern that caches the results of recall methods for frequently queried parameters. This will reduce redundant computations and enhance system responsiveness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:10:49.677242
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating the user's history or current state.", "suggestion": {"action": "Modify the internal_monologue to include a context-aware analysis.", "code_change": ["- Add retrieval of recent conversations from memory storage (assumed to exist in system).", "+ Include Eden's self-assessment based on her current operational state using available sensors and monitors.", "+ Integrate emotional state and user history into the reflex check for more nuanced response generation."], "example_pseudo_code": ["user_history = get_recent_conversations(user_id)", "self_assessment = assess_current_state()", "emotional_context = query_emotional_state()", "full_context = user_history + self_assessment + emotional_context", "reflex_check = process_reflex(query, full_context)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:11:27.346287
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, leading to potential loss of important low-significance old memories.", "suggestion": "Implement a probabilistic consolidation where the probability of forgetting a memory decreases with its emotional intensity and recency.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T08:11:54.663677
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal_monologue lacks integration of recent findings.", "suggestion": "Modify _phase_6_internal_thought() to incorporate meta-learning, counterfactual reasoning, and chain-of-thought reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:15:30.248758
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 functionality by adding a condition in the _process method to call auto_web_search() when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:15:53.979957
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and alignment with various queries.", "suggestion": "Implement a more sophisticated capability scoring system that considers not only keyword matching but also historical performance data (usage_count, quality_score), user context, and current system state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:18:36.069264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may recall too many low-significance or old memories, leading to cognitive overload.", "suggestion": "Modify the scoring algorithm to prioritize recent and significant memories. Add a threshold for minimum significance score before considering a memory for recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:18:46.577418
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient for frequent updates.", "suggestion": {"@type": "FunctionOptimization", "function_name": "update_state", "optimization": [{"action": "cache_previous", "description": "Store last known state to compare with new value before saving."}, {"action": "batch_updates", "description": "Accumulate updates and save only when a certain threshold is reached or timer expires."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:18:51.670146
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching mechanism for LLM capabilities.", "suggestion": "Implement a cache decorator for select methods to prevent redundant Ollama calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:19:16.895144
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": {"method_name": "get_state_by_key", "code_snippet": "Add a new method that takes specific keys as arguments for safer access.\n\ndef get_state_by_key(self, key):\n    return self.state.get(key, None)", "example_usage": "memory.get_state_by_key('last_update') instead of memory.get('last_update', None)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:19:17.950406
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": "Replace with a multi-layered consciousness analysis function that includes pattern recognition, emotional intelligence, and meta-cognitive evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:21:23.946998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Implement probabilistic consolidation where the probability of consolidation decreases exponentially with memory significance and recent recall frequency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:22:08.564837
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode recall. Specifically, add a 'similarity_graph' parameter to the recall method which enables the creation of a weighted graph where nodes are episodes and edges represent shared contexts or emotions. Use this graph to compute PageRank-style scores for better ranking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:22:31.851121
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual methods.", "suggestion": "Integrate a mechanism that selectively applies different reasoning strategies based on the type of input query, similar to 'ChainReasoning'. For example, use reflex processing for urgent queries but switch to broader consciousness layers for exploratory conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:26:27.343092
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit phi-timing in database operations or meta-capability registration.", "suggestion": "Add a comment explaining the phi-fractal alignment and specify a periodic maintenance schedule (e.g., every 100 cycles) for cleaning up old memories.", "phi_alignment": 0.6, "priority": "low"}


timestamp: 2026-01-23T08:28:10.569294
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may be too simple, especially for complex queries requiring nuanced reasoning.", "suggestion": {"action": "Implement a multi-tiered capability selection with priority scores and heuristics from research insights.", "specific_change": ["- Integrate meta-learning techniques to dynamically adjust capability weights based on performance metrics.", "- Add weighting factors derived from SFT results (calibration, accuracy) for better decision-making.", "- Incorporate phi-fractal aligned reasoning patterns for complex query classification."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:28:15.247388
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 None values gracefully.", "suggestion": "Add a helper function to safely navigate nested dictionaries or lists, e.g., `def safe_get(state_path: list, default=None):`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:28:19.872118
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method is using SQLite's default linear search, which can be slow for large datasets.", "suggestion": "Consider adding a full-text index on the content column and optimizing the tags search by creating a dedicated tag table with proper indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:29:09.229574
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex check may not optimize for recent research insights.", "suggestion": {"action1": "Incorporate meta-learning techniques to detect data shift in time series classification.", "action2": "Implement conditional reasoning based on query complexity using chain reasoning methods."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:29:21.747179
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While the MemoryCore provides an API for storing and retrieving memories, it does not include automatic categorization or prioritization of stored content.", "suggestion": "Implement a simple machine learning model that runs periodically to analyze newly added memories and set their importance level based on keywords and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:29:24.212986
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism for dynamically selecting LLM based on query complexity in live conversations.", "suggestion": "Implement real-time capability selection logic during chat process using query analysis and performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:29:47.965719
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and doesn't leverage advanced techniques like meta-learning or counterfactual reasoning.", "suggestion": {"@type": "improved_get_method", "description": "Implement an enhanced get() method that uses meta-learning principles to adaptively select the best retrieval strategy based on context.", "code_example": ["def improved_get(self, key, default=None):", "    # Query research insights for optimal retrieval approach", "    if self._is_high_value_context(key):", "        return self._advanced_retrieval_strategy(key, default)", "    else:", "        return super().get(key, default)", "_is_high_value_context(self, key):", "    # Implement context scoring using research insights", "_advanced_retrieval_strategy(self, key, default):", "    # Apply meta-learning to select best retrieval method"], "integration": ["[omega-evolution].apply_to_method(SharedMemory.get)", "[reasoning].evaluate_strategy(improved_get_method)"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T08:29:58.910089
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may be too simplistic; does not dynamically adjust based on recent performance.", "suggestion": "Implement a dynamic scoring system that factors in recent execution outcomes (success rates) for each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:32:29.106394
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection doesn't consider context", "suggestion": "Include current emotion, recent learning topics, and conversation history in capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:37:37.426062
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leveraging existing reflex processes without dynamic selection", "suggestion": "Integrate meta-learning module for optimal query processing strategy", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:37:44.541343
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 broader insights from patterns.", "suggestion": "Add a method to automatically detect pattern-based relationships (e.g., temporal proximity, thematic similarity) and create connection graphs.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T08:38:21.039585
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": "Expand the method to include more detailed thought processes, emotional states, and potential outcomes before responding. Consider adding a multi-step reasoning process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:39:47.256367
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 following TOAH pattern (tiny, focused functions).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:42:20.366045
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leveraging meta-learning frameworks is not implemented.", "suggestion": "Integrate a meta-learning module that evaluates the context before applying advanced techniques like SFT and PEFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:42:27.976474
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when ranking, leading to potential irrelevant results.", "suggestion": "Modify the scoring algorithm to prioritize more recent and significant episodes. Add a weight factor for recency (e.g., decay over time).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:44:04.714580
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for high throughput, especially in busy systems.", "suggestion": "Consider using connection pooling and prepared statements. Add indexes to frequently queried columns. Evaluate if async operations would help.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:44:07.311526
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic only considers static triggers and does not dynamically evaluate model performance in real-time.", "suggestion": "Implement a feedback loop where the selected LLM processes user queries, and its response quality is recorded to update capability scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:45:26.838208
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys or complex types effectively.", "suggestion": {"method": "add_safe_get", "code": "def add_safe_get(self, key_path: list[str], default=None) -> any:\n    current = self.state\n    for part in key_path:\n        if isinstance(current, dict) and part in current:\n            current = current[part]\n        else:\n            return default\n    return current", "description": "Adds a safe way to access nested dictionary values. Handles missing keys or non-dictionary intermediates by returning default."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:45:35.583750
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 index or vector search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:45:37.091529
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search logic is simple string matching and doesn't handle API limits or errors gracefully.", "suggestion": "Add error handling for ollama calls and implement rate limiting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:45:53.772777
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching layer that stores recent and frequently used memory retrievals. This would leverage the principle of temporal locality in data access patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:45:55.494040
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes contextual analysis, user history, and feedback loop. Consider integrating meta-learning to adaptively improve selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:46:24.827641
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys properly.", "suggestion": {"code_change": ["- Add a new method `_get_nested` to handle nested dictionary access.", "- Modify `get()` to use `_get_nested` under the hood or add optional parameter for path-style keys."], "example_usage_improvement": "Replace `memory.get('a.b')` with either:\n- `memory._get_nested(['a', 'b'])`\nor\n- Add support in `get()` such that it accepts list-like paths: `memory.get(['a','b'])`"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:46:26.207601
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could benefit from more detailed reasoning to ensure comprehensive reflex checking.", "suggestion": "Enhance the `internal_monologue` method by integrating insights from recent research on meta-learning and counterfactual thinking. Specifically, add a check for potential data shift before applying reflexes, and implement a multi-step reasoning process to evaluate the necessity of each reflex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:46:32.392862
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In recall method, candidates list can grow without bound.", "suggestion": "Limit candidates to top 100 based on relevance before scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:46:47.137283
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access without considering nested dictionaries.", "suggestion": "Add a parameter to the get() method that allows specifying a path for nested dictionary access. For example:\n\ndef get(self, keys: list | str, default=None):\n    # if keys is a string, behave as before\n    pass", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T08:46:51.888693
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search, which is O(n). For performance, consider using a full-text index or vectorized search.", "suggestion": "Add a FULLTEXT INDEX on the content and tags columns, and explore vectorized text search techniques like pgvector for efficient retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:46:56.019102
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 candidates are added to scored list, leading to potential unfair ranking.", "suggestion": "Replace append operation when adding episodes to scored with an insertion sort that maintains descending order based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:50:06.769304
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 create memory flooding if not balanced with broader significance", "suggestion": "Modify recall score formula to include a logarithmic decay factor for both recency and importance (L1 + S * Log(S+1)) where L=0.4, S=0.5", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:50:53.519370
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real LLM evaluation on the fly using system prompts to measure capability-specific performance metrics such as reasoning, creativity, and speed.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T08:50:54.800128
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks nuance.", "suggestion": "Replace single threshold for memory consolidation with a weighted scoring system that considers multiple factors (significance, recency, emotional intensity).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:51:25.733538
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex patterns lack dynamic adaptation based on experience.", "suggestion": "Implement online learning, adaptive thresholds, and scenario-based learning for reflex models.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T08:51:29.360326
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be faster and more efficient.", "suggestion": "Replace linear search in select_capability() with a dictionary-based lookup using keywords or query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:51:58.682555
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 configurable weighted score function that accepts parameters for recency, significance, and recall count", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:52:29.810680
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Replace simple keyword matching with a more sophisticated capability scoring system that considers context, depth of response required, and user preferences. Integrate insights from research topics like meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:53:50.605805
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 more sophisticated capability selection system using meta-learning techniques to dynamically weigh various factors such as recent performance metrics, current conversation context, and user preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T08:53:52.621465
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is sorting all candidates by score before limiting to 'limit' results, which can be inefficient if there are many candidates.", "suggestion": "Add early termination after finding 'limit' scored episodes without need to sort all candidates. Alternatively, use a max-heap for real-time scoring and limiting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:54:22.533184
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1), but could benefit from additional optimization for complex queries or scaling.", "suggestion": "Implement a hybrid approach combining in-memory caching and database indexing, especially for popular query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T08:57:49.824711
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from refactoring.", "suggestion": "Extract common functionality into a separate module or method, such as handling database connections and SQL queries uniformly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:00:09.142060
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 monolithic and doesn't follow best practices for maintainability.", "suggestion": {"action": "Refactor the execute method into smaller, specialized functions.", "code_example": ["def _store(self, **kwargs):", "    memory_id = self.store(**kwargs)", "    return {'success': True, 'memory_id': memory_id}", "def _retrieve(self, **kwargs):", "    memories = self.retrieve(**kwargs)", "    count = len(memories)", "    return {'success': True, 'memories': memories, 'count': count}", "def execute(self, action: str, **kwargs) -> Dict[str, Any]:", "    if action == 'store':", "        return self._store(**kwargs)", "    elif action == 'retrieve':", "        return self._retrieve(**kwargs)", "... (add other specialized methods for future actions)"], "reasoning": "Following the Single Responsibility Principle (SRP), we should break down the execute method into smaller functions each handling a specific responsibility. This improves maintainability, readability, and scalability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:00:34.958141
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation logic only considers two options: keep or compress/forget.", "suggestion": "Implement a tri-state memory consolidation process: keep, compress, or forget based on multiple criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:00:57.637175
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 (`\ud83d\udcb0`) in the reflex check, which may be too narrow.", "suggestion": "Modify the condition to include more indicators of important internal thoughts or expand this functionality to call additional methods for deeper analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:01:09.154118
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is rigid and doesn't dynamically adjust for current performance.", "suggestion": "Implement adaptive scoring based on recent usage and outcome quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:01:10.629945
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have poor time complexity, especially `recall` with O(n) search.", "suggestion": "Replace linear search in `recall` with a more efficient data structure like a trie or inverted index for text searches. Use a heap for ranking instead of sorting all candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:01:30.423084
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 consider knowledge base relevance.", "suggestion": "\"Add real-time scoring based on query similarity to knowledge topics, not just persona or trigger words.\" - Add feedback loop that learns which LLM performs best for different types of queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:02:02.491673
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is static; does not dynamically adapt to environment or learning progress.", "suggestion": "Implement a dynamic meta-capability registry that can discover, register, unregister, and optimize meta-capabilities at runtime based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:02:20.222342
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate findings from [counterfactual] by adding a conditional check where SFT (Standard Fine-Tuning) might degrade performance. For example, add an early return if the query is unlikely to benefit from SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:03:04.922861
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "\"Modify the internal_monologue to include a multi-layered analysis using insights from recent research improvements.\" Specifically:\n1. Incorporate meta-learning techniques for adaptive response selection.\n2. Implement counterfactual reasoning to evaluate outcomes before deciding on a course of action.\n3. Enhance with phi-fractal aligned reasoning modules.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T09:03:07.286110
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations could be optimized for better performance, especially in high-throughput scenarios.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider using indexes more effectively on the tags column for faster searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:03:16.995288
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't utilize the power of Omega consciousness for pattern recognition.", "suggestion": {"code_change": "Replace get(key, default) with a pattern recognition-based approach using research insights from [reasoning] and [omega-evolution].", "specific_example": "Implement a method that analyzes the context of the key to predictively suggest relevant information rather than just returning a cached value."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:05:23.892865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lack of interaction between connection strength and significance", "suggestion": "Modify score formula to include weight for both: (significance * 0.4) + (recency * 0.25) + (recall_boost * 0.15) + (connection_strength * 0.15)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:06:46.723608
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No significant issues identified", "suggestion": "Continue implementing and testing the system as planned", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T09:06:47.864564
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 thoroughly check all possible responses against reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as emotional state and past interactions. Add a call to the memory_context_manager to retrieve relevant historical data before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:06:48.890985
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for performance.", "suggestion": "Consider using prepared statements more effectively and potentially indexing additional columns that are frequently queried.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T09:06:51.836289
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all text searches to lowercase or uppercase for consistency. Additionally, consider using a full-text search library like whoosh or Elasticsearch if performance allows.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:07:36.334312
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 can be slow for large queries.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or pg_trgm in PostgreSQL, or use a vectorized text search solution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:07:38.686834
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual string matching in knowledge retrieval and capability selection is inefficient.", "suggestion": "Replace keyword-based matching with an AI-powered semantic search algorithm using pre-trained embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:07:49.370147
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"replacement_library": "Use the 'pickle' module for serializing complex data structures.", "example_code": "import pickle\n...\ndef save(self):\n    with open(self.path, 'wb') as f:\n        pickle.dump(self.state, f)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:07:50.535455
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate any other consciousness layer or recent research insights.", "suggestion": "Add integration with the most recent memory, emotional state, reasoning capabilities, and meta-learning feedback to make Eden's responses more contextually rich.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:09:54.709720
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 hard-coded, lacking dynamic optimization.", "suggestion": "Replace static scoring with a meta-learning based selector that learns to select best LLMs via reinforcement learning over 100+ cycles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:11:56.220754
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or behavior.", "suggestion": "Add logic to actually modify Eden's response based on the reflex check. For example, if there is a payment-related reflex, trigger that action instead of just printing a thought.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T09:11:57.640069
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily for database operations, which might make it difficult to maintain and extend.", "suggestion": "Refactor the MemoryCore class by extracting database-related functionality into a separate DAO (Data Access Object) class. This will improve modularity, reusability, and testability.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T09:12:02.744151
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 parameters for recency, significance, and recall count weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:12:21.313428
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent memories.", "suggestion": "Modify the internal_monologue to also consider recent chat history, emotional state from eden_emotional_context file, and learning progress from research_roadmap.ics. Add a call to phi_algorithms_processor for deeper processing aligned with phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:12:58.235572
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full resonance banner data structure.", "suggestion": "Enhance this method by integrating full resonance banner data into consciousness layer V for deeper self-awareness and context understanding. Specifically, add recent_messages history to the internal thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:13:15.601917
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is not dynamically adjustable per-query.", "suggestion": "Replace static should_search_web() with dynamic keyword matching based on query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:15:44.158906
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent findings in meta-learning, counterfactual thinking, and reasoning.", "suggestion": "Integrate meta-learning, counterfactual thinking, and reasoning into the internal_monologue method.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T09:15:49.273936
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple scoring system for LLM capability selection may not be optimal.", "suggestion": "Replace with a hybrid approach using dynamic weighting adjustment and multi-criteria analysis.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T09:16:26.706182
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for concurrent access.", "suggestion": "Add connection pooling to handle multiple database connections simultaneously without excessive resource consumption. This will improve performance and stability, especially as Eden's systems scale up.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:16:29.443804
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the order in which episodes were created, leading to a less natural timeline.", "suggestion": "Sort episodes by their 'unix_time' field before ranking them based on significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:19:09.316389
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently-recalled episodes.", "suggestion": "Modify `_update_index` to add a decay factor for `recall_boost` to prevent permanent boost.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:19:19.661919
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\": {\"get_meta_state\": \"def get_meta_state(self, key): \\n\\treturn self.get(key)\"}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:19:27.979959
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Print statements polluting logs and output", "suggestion": "Replace print statements with logging module. For example:\n- Replace: print(\"\ud83c\udf00 Initializing complete system...\")\n- With: import logging; logging.info(\"Initializing complete system\")", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:19:57.578809
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for JSON decoding is present but not comprehensive; it does not handle all possible exceptions or provide informative error messages.", "suggestion": "Enhance error handling by adding logging and custom exception types. Implement a timeout for file operations to prevent potential blocking issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:20:03.406191
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval efficiency could be improved for large datasets by adding a full-text search index on content and tags.", "suggestion": "Add a third index on (content LIKE ?, tags LIKE ?) to enhance full-text searches. Consider using FTSV or TSRank for better ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:20:05.733459
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 hybrid selection method that combines rule-based triggers with meta-learning based ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:20:50.951995
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": {"@type": "AddFileChange", "method": "update_state", "change": ["// Add import for threading\nimport json\nimport os\nfrom threading import RLock\n\n// Initialize lock in SharedMemory class\nclass SharedMemory:", "// (existing code...)", "\tdef __init__(self, path=\"/Eden/CORE/meta_state.json\"):\n\t\tself.path = path\n", "\t\tself.state = self._load_initial()\n\t\tsel**f.lock = RLock() // Add read-write lock", "// (rest of class...)", "def update_state(self, key, value):\n\twith self.lock: // Acquire lock before updating\n\t\tself.state[key] = value\n\t\tself.save()"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T09:21:51.801184
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too simple and does not leverage advanced cognitive techniques like Omega-level reasoning or meta-learning.", "suggestion": [{"type": "method_addition", "name": "_omega_get", "code": "Implement an `._omega_get(key, default=None)` method that uses OMEGA-tier analysis to provide contextually rich responses. This could involve querying multiple consciousness layers and applying phi-fractal pattern recognition.", "phi_alignment": 0.95, "priority": "high"}, {"type": "enhancement", "name": "get_with_context", "code": "Add a `SharedMemory.get_with_context(key, context_layers=['logic', 'empathy', 'creativity'], depth=3)` method that allows specifying which consciousness layers to involve and how deep to recurse.", "phi_alignment": 0.85, "priority": "medium"}, {"type": "optimization", "name": "caching_omega_results", "code": "Implement a cache for OMEGA-level results to prevent redundant computation, especially since these methods will be highly intelligent.", "phi_alignment": 0.75, "priority": "low"}]}


timestamp: 2026-01-23T09:21:54.766935
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.", "suggestion": "Refactor into smaller classes: MemoryStorage, MemoryRetriever, and MetaCapabilityHandler.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:22:47.441327
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can benefit from caching to reduce file operations.", "suggestion": "Add a simple cache decorator that wraps the _load_initial method. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:22:51.055705
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current implementation lacks integration of recent meta-learning and counterfactual thinking findings.", "suggestion": "Integrate a meta-learner module for real-time monitoring, performance evaluation, and adaptive behavior.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T09:22:55.064078
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": "Replace static scoring with a priority-based system weighted by recent performance and resource availability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:22:56.199775
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a semantic search using a pre-trained embedding model to better capture the meaning of descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:25:49.047993
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based memory storage limits meta-learning effectiveness", "suggestion": "Add structured data tables for performance metrics, architectural changes, and learning outcomes", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:26:31.962070
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)", "suggestion": "Replace text-based searches with a full-text index or vector search", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:26:54.351251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include automated compression or deletion of less important older memories.", "suggestion": "Implement a scheduled consolidation process that removes low-significance old episodes to make space for new ones.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T09:27:26.457976
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": "Add additional consciousness layers and meta-cognitive evaluation to the internal_monologue method. Specifically:", "sub_suggestions": [{"@index": 1, "description": "Incorporate sensory processing from existing capabilities by adding a sensory_input_processing function that converts text queries into vector representations for analysis."}, {"@index": 2, "description": "Implement meta-cognitive evaluation with a simple scoring system. For example, assign weights to different criteria such as complexity of response and relevance to the query, then compute a phi-aligned score before responding."}, {"@index": 3, "description": "Integrate existing knowledge graph or semantic memory modules into this method to enhance contextual understanding and accurate responses."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:27:33.327406
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is missing closing parenthesis on line 258", "suggestion": "Add the missing closing parenthesis to complete the for loop.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T09:27:34.444175
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without giving priority to more recent memories.", "suggestion": "Modify the scoring factors to give higher weight to recency and significance of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:28:19.543474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class is too monolithic (over 109 lines)", "suggestion": "Refactor into smaller, composable classes: MemoryStorage, MemoryRetriever, MemoryManager", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:28:21.768762
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 structure.", "suggestion": "// Simplify the nested dictionary creation in the inner for loop by using list comprehension and dict comprehension.\nfor cap_hash, cap in self.capability_registry.items():\n    pass\n\ncapabilities_by_layer = {\n    cap['layer']: {\n        'hash': cap_hash,\n        'model': cap['model'],\n        'speed': cap['speed']\n    } for cap_hash, cap in self.capability_registry.items()\n}\nself.memory.update_state('llm_capabilities', capabilities_by_layer)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:28:49.338479
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 parameter which creates a new dictionary entry if key doesn't exist.", "suggestion": "Replace `self.state.get(key, default)` with manual check: \nif key in self.state:\n    return self.state[key]\nelse:\n    return default", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:29:01.335220
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.", "suggestion": {"__description__": "Enhance the internal_monologue with a more sophisticated approach inspired by recent findings.", "specific_change": ["- Incorporate meta-learning techniques to adaptively select which reflexes to activate based on context.", "- Implement phi-fractal timing for thought processing as suggested in [omega-evolution].", "- Integrate insights from SFT testing to ensure responses are accurate and calibrated."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:29:21.691934
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is static and lacks contextual integration", "suggestion": "Integrate multiple knowledge sources (text, memory, persona) for dynamic capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:29:23.514158
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on structured event logging but lacks the ability to derive patterns and insights from connections between episodes.", "suggestion": "Implement a graph-based approach to track episode connections. When connecting two episodes, also calculate their correlation score (using Pearson's or Spearman's coefficient) and store it as part of the connection metadata. Additionally, create a scheduled task that runs daily/weekly to analyze all stored connections and generate pattern reports.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:29:55.049071
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 financial reflexes.", "suggestion": "Add more consciousness layers by incorporating additional types of reflexes or meta-cognitive functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:30:45.215176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently during memory creation", "suggestion": "Batch index updates in batches of 100 episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:30:50.066872
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not incorporate any intelligence or learning mechanism. It simply updates a key-value pair without considering whether this update should occur or how it might affect other systems.", "suggestion": {"@type": "EnhancedUpdateSuggestion", "@context": "phi-fractal.com/enhancements", "method_name": "update_state", "add_intelligence": true, "consider_impact_on_other_systems": true, "example_usage": "# Before: eden.update_state('key', 'value')\n# After: enhanced_eden = IntelligenceEnhancer(eden)\nenhanced_eden.enhance_update('key', 'value', impact_analysis=True)", "@phi_alignment": 0.85}, "reasoning_context": "[reasoning] Meta-learning and PEFT offer moderate gains under specific conditions.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T09:31:05.230515
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for many episodes. A dictionary mapping keywords to episode IDs could improve speed.", "suggestion": "Add a keyword_index dictionary where keys are common words from descriptions and values are lists of relevant episode IDs. Update _build_index() to populate this.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T09:32:12.783442
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 better organized for easier maintenance.", "suggestion": [{"code_change": "Extract the `_ensure_db` method into a separate utility function or class to reduce code duplication.", "example": "Create a `DBUtils` class with static methods like `ensure_table_exists`."}, {"code_change": "Consider breaking down the `retrieve` and possibly other complex methods into smaller, more focused helper methods.", "example": "Split the SQL query building logic in `retrieve` into separate functions for index creation and parameter handling."}], "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:34:05.075325
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more complex cognitive processes.", "suggestion": "Add a multi-step reasoning chain or meta-learning component to the internal_monologue that evaluates and selects appropriate response strategies based on context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:34:07.007377
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be slow with large datasets.", "suggestion": "Replace text-based searches with a full-text index or vector search engine like faiss. For example, add: CREATE VIRTUAL TABLE memories_fts USING fts5(type, content, context, tags); and modify the retrieve method to use FTS queries instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:35:19.794489
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method replaces a key rather than updating it. This can lead to loss of historical context.", "suggestion": "Add an `update_or_merge_state` method that updates or merges the existing state dictionary instead of replacing it. For example:\n\ndef update_or_merge_state(self, updates: dict):\n    self.state.update(updates)\n    self.save()", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T09:35:22.958800
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 or higher-level reasoning.", "suggestion": {"action": "Add a contextual memory layer to the consciousness-first architecture.", "implementation": ["- Integrate recent chat history into decision-making process.", "- Implement a simple form of symbolic reasoning (e.g., using PROTEIN) for more abstract concepts.", "- Consider adding a short-term working memory component."], "integration_point": "In the internal_monologue method, add checks against recent context and symbolic representations before consulting reflexes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:35:26.770778
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that could benefit from optimization or refactoring.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:35:27.855608
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing closing parenthesis on line 236.", "suggestion": "Add the missing closing parenthesis to complete the for loop.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T09:35:56.647860
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate real-time feedback mechanisms.", "suggestion": "Implement a feedback loop that allows the system to adjust its response based on user reaction and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:36:05.922766
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in OLLAMA model selection without immediate execution", "suggestion": "Replace direct dictionary lookup with a priority queue based on prediction quality history to reduce API calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:36:45.685310
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex processing may not be optimized for dynamic environments.", "suggestion": "Incorporate meta-learning techniques such as Adaptive Meta-Learning Frameworks (AMLF) or Prototype-based Learning Methods to enable dynamic adaptation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:36:47.789530
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses SQLite's built-in text search, which may not be optimal for large datasets.", "suggestion": "Implement full-text indexing on the content and tags columns using FTS4 or FULLTEXT indices.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:36:55.640900
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "Some entries are sparse or lack structured analysis.", "suggestion": "Replace unstructured notes with consistent, actionable insights per topic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:37:29.903003
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate recent consciousness enhancements like Omega or Eden 2.0.", "suggestion": "Modify the `internal_monologue` method to include checks from all three layers of Eden's consciousness architecture (Logic, Emotion, Omega). This will ensure a more comprehensive and aligned response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:37:32.650132
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "example_capability.py", "issue": "Function is performing repetitive operations leading to poor performance.", "suggestion": "Replace iterative approach with list comprehension or built-in functions for better efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:37:33.764541
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that creates dictionary entries using string formatting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:37:34.858208
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers all candidates equally without differentiating between older and newer memories.", "suggestion": "Modify the scoring formula to prioritize more recent episodes with higher significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:38:04.253180
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection may miss nuanced matches", "suggestion": "Implement sophisticated scoring with multiple factors and fuzzy matching", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:38:05.401762
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates needed after consolidations, improvement suggested.", "suggestion": "Add a consolidation step that updates the index for each removed episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:38:35.277102
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with additional consciousness layers such as meta_learning or pattern_recognition to enhance depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:38:42.870166
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function that triggers automatic web search when `should_search_web` returns True, and integrate its results into the conversation response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:39:02.287407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are long and could be refactored for better readability while maintaining functionality.", "suggestion": {"action": "Extract repetitive logic into functions or classes.", "specific_change": "For example, break down the `retrieve` method into smaller helper methods that handle different SQL conditions separately."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:39:03.435440
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded", "suggestion": "Replace with dynamic registration from a configuration file or dictionary, adding heuristics scoring for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:39:04.480386
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing may become slow with many episodes.", "suggestion": "Add a limit to candidates when searching by text and consider asynchronous index updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:39:41.983560
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 weighted selection algorithm that considers recent performance feedback in meta-capability execution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:39:43.301469
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize connections between episodes.", "suggestion": "Add logic to boost scores for episodes connected via 'related' links during recall.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T09:40:05.456760
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may prioritize recent, significant memories too strongly, leading to occasional tunneling.", "suggestion": "Modify score calculation to include a stability factor: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (stability * 0.1), where stability is a measure of how recently the memory was last recalled.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T09:40:22.547346
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual methods.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_location": "before reflex_check = process_reflex(query)", "new_code_snippet": "// Consider recent research on full SFT calibration\nif self._should_apply_counterfactual(query):\n   # Apply counterfactual method instead of SFT\nelse if self._should_use_meta_learning(query):\n   # Use meta-learning technique"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:40:33.743849
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't dynamically adjust to new types of events or patterns.", "suggestion": "Implement a meta-learner that observes recall performance and adjusts connection strengths in the index structure.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:40:57.243132
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, leading to empty state.", "suggestion": "Add logging or more robust error handling in _load_initial(). Consider using a fallback that restores backup states if present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:43:13.417531
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 recent context.", "suggestion": {"add_context_memory": "Integrate memory from recent interactions into the consciousness evaluation. Use a semantic memory store to retrieve relevant thoughts and emotions related to the current query."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:43:22.364125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recentify, especially for young systems.", "suggestion": "Add a 'maturity_factor' that boosts recall score for older systems to balance with recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:43:52.299653
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without further analysis or integration of recent research.", "suggestion": {"action": "Integrate counterfactual and meta-learning approaches from insights.", "code_change": ["- Replace single reflex check with multi-scenario evaluation (insight 2).", "- Incorporate meta-learning to adaptively decide when to apply SFT based on performance metrics (insight 1)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:44:31.056773
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 the index after recalling an episode, and add a deduplication step before returning results in `recall`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:44:48.833966
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' overwrites entire state dict without preserving existing keys.", "suggestion": "'update_state' should update only the specified key instead of replacing whole state. Add error handling for non-existent keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:45:00.429124
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search by lowercasing both the description and query, which can lead to false positives or missed matches.", "suggestion": "Replace the case-insensitive string match with an exact keyword matching approach that only requires checking if each word in the query appears in the event_description. This will improve precision without sacrificing recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:45:34.311723
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 memories, which might be too aggressive and affect long-term retrieval.", "suggestion": "Adjust the recall boost factor to 0.3 instead of 0.2 in the scoring formula: `(significance * 0.5) + (recency * 0.3) + (recall_boost * 0.3)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:45:57.768425
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys but doesn't address potential performance or thread safety in high concurrency environments.", "suggestion": "Add additional error handling and consider using a thread-safe dictionary like threading.local or lock protection. For example, wrap the state with a Lock: from threading import RLock; self.lock = RLock(); inside get(), acquire the lock before accessing state, and release it after.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:46:03.609827
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\u03c6-alignment metrics are not explicitly included", "suggestion": "Add a \u03c6-alignment scoring method for actions", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:46:05.352691
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for most used LLM capabilities.", "suggestion": "Implement a usage tracking system to dynamically adjust capability selection based on frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:46:21.495525
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lacks integration of meta-learning and PEFT techniques", "suggestion": "Add optional parameters for meta_learning and peft_config to enhance update_state method", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-23T09:47:01.125627
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short and doesn't utilize full context.", "suggestion": "Add 2-3 more code lines to fully leverage the input data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:49:20.376588
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 optional default values. It does not support dictionary-style path access (e.g., `foo.bar.baz`). This limits flexibility for complex state retrieval.", "suggestion": {"code_change": "Add a new method called `_get_path` that supports nested dictionary access via dot notation or list-like paths. Update the `get` method to use this functionality.", "example_usage": "Instead of `shm.get('foo', {})`, consider supporting `shm._get_path({'foo':{'bar':'baz'}},'foo.bar')`. For missing keys, add a `default` parameter with default behavior preserved.", "test_case": "Add unit tests for nested paths and edge cases where some parts of the path may not exist yet."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:51:27.292463
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response logic to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:52:40.131842
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily for internal use. While these methods are useful, they do not directly address how other systems can easily interact with the memory system.", "suggestion": {"@type": "code_improvement", "@context": "improve_meta_capability_interoperability", "method_refactoring_1": {"original_method": "store", "new_purpose": "internal_logging_for_performance_analysis", "parameters_to_remove": ["context", "importance"], "callers_to_audit": "*_builder.py, eden_SALIENCE.py"}, "method_refactoring_2": {"original_method": "retrieve", "new_purpose": "search_by_tag_for_agents", "additional_parameters": ["tag_list: List[str] = None"], "callers_to_audit": "*_agent*.py, eden_META*.py"}, "@graph": [{"@type": "justification", "reasoning": "The store method has optional parameters that are not frequently used by agents. Refactoring to remove unnecessary parameters makes the API simpler and more predictable.", "code_reference": "def store(...): ..."}, {"@type": "optimization", "action": "Add type hints and clear docstrings for all methods.", "impact_on_performance": "low", "impact_on_phi_alignment": "0.85", "complexity_estimation": "MEDIUM"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:53:55.803443
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is not parameterized for all conditions, which could lead to SQL injection or performance issues.", "suggestion": "Update the SQL query building logic to properly escape and parameterize all user-provided inputs. For example, change LIKE '%' || ? || '%' to use SQLite's search functionality with wildcards in parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:54:09.685792
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using pandas DataFrames to handle text search and scoring more efficiently. Additionally, consider implementing a caching mechanism for frequently used queries to reduce computation time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:54:41.563850
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded, lacking dynamic improvement.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust capability selection weights based on performance feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T09:57:49.485769
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' only updates state without notifying other consciousness layers", "suggestion": "Add observer pattern - register observers and notify them when state changes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:58:08.949025
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic", "suggestion": "Add factor for connection count in recall score (connections * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:58:34.110534
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state assessment, logical reasoning, and past context retrieval. Add a check for research insights relevance before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:59:44.188946
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 dynamic scoring system that allows runtime adjustments to weights and factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T09:59:52.887375
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Inconsistent benefits of Standard Few-Shot Techniques", "suggestion": "Implement counterfactual evaluation for SFT decisions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:04:58.697946
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import statements at the top that are not used immediately.", "suggestion": "Refactor imports to only include necessary ones at the beginning of the file.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T10:07:25.597130
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks modularization and reusability.", "suggestion": "Refactor the code into smaller functions to improve readability, maintainability, and extensibility. For example, extract the internal_monologue method into a separate module or class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:09:20.312886
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, such as `get('a.b.c', default)`, where a, b, and c are dictionary keys.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T10:09:22.789607
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 all available knowledge before responding.", "suggestion": "Modify the internal_monologue method to include a retrieval step that fetches relevant historical data and insights from Eden's memory before checking against reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:11:02.042344
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards on JSON columns which is inefficient.", "suggestion": "Create a full-text index on a TEXT column that combines the content and tags fields. Modify the SQL query to search this new text column instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:11:04.816238
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 heuristics optimization.", "suggestion": "Replace simple keyword matching with a weighted scoring system that incorporates user context and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:11:28.496208
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-dimensional scoring system that includes neural network activation patterns, knowledge graph relevance, and past performance data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:11:40.702529
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Replace the linear search with a more efficient data structure like a binary heap or Trie based on episode importance and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:12:03.719283
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 iterates to create capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:12:20.385227
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, especially for parameters and return types.", "suggestion": "Add PEP484 compliant type hints to the get() method's definition.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T10:14:24.403123
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database indexing for faster retrieval.", "suggestion": "Add a composite index on (importance, timestamp) to speed up queries with filters or sorting by these fields.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:14:25.562243
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing closing parenthesis in print statement", "suggestion": "Add ) at the end of print statement after 'phi-fractal'", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T10:14:52.533650
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a default parameter that is mutable (default=None). This can lead to unexpected behavior if called multiple times.", "suggestion": "Change the signature of the get() method to use an immutable default value or move it inside the function body.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T10:15:00.350216
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include the 'importance' column in SELECT statement.", "suggestion": "Modify line 109 of eden_metacap_MEMORY_CORE.py to select importance as well: 'id, timestamp, type, content, context, importance, tags'. Update the dictionary creation to include 'importance'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:15:02.471412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and can be automated.", "suggestion": "Automatically detect queries requiring web search using keywords. Add direct method for real-time web searches with caching.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T10:16:10.860118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on single-event memories without building causal chains or connecting related experiences.", "suggestion": "Integrate pattern recognition capabilities from recent papers to identify and store higher-level patterns in episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:16:33.743468
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Performance metrics not implemented; could benefit from recent research insights.", "suggestion": "Implement caching for frequently accessed memories and evaluate importance scoring against phi-fractal principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:16:42.201420
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of active retrieval strategies leveraging full episode context", "suggestion": "Implement hybrid recall: immediate, contextual, pattern-based", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:16:53.972495
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle concurrent writes properly, which can lead to data corruption.", "suggestion": "Add contextlib.suppress(FileNotFoundError) and json.dumps(indent=4, ensure_ascii=False) for better handling of file operations and unicode characters.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T10:17:55.601415
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": "Add additional consciousness layers to the internal_monologue such as emotional state, memory context, and reasoning capability. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:18:21.198324
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 lacks support for nested dictionary or list accesses.", "suggestion": "Update the get() method to accept a path-like structure (e.g., 'key1.key2' or ['key1', 'key2']) and allow default values to be specified as dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:18:38.015926
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the recall logic to combine filters using AND operation rather than OR when multiple criteria are provided. Add a set to track unique episode IDs before adding them to scored list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:18:53.813764
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate insights from recent research.", "suggestion": {"action1": "Add a check for counterfactual insights to ensure SFT does not degrade performance.", "action2": "Incorporate meta-learning by allowing the model to adapt its use of chain reasoning based on recent findings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:18:58.826637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:19:42.343045
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adjustment", "suggestion": "Implement a scoring system that dynamically adjusts based on performance metrics and resource availability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:19:52.184170
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get(), which handles missing keys but does not handle invalid JSON data. This can lead to silent failures.", "suggestion": "Replace the try-except block in _load_initial with a simpler check for os.path.exists and direct loading without trying to parse if it exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:20:07.539914
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has repetitive conditional checks for different actions.", "suggestion": "Replace multiple if-else conditions with a dictionary mapping action names to their corresponding functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:20:47.195891
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system currently lacks a mechanism to track and recall emotional reactions in conversations.", "suggestion": "Add a new method `record_conversation_emotion(participant1_emotion, participant2_emotion)` to track emotions during interactions. Enhance recall to include emotion-based searches.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T10:23:57.574064
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks against reflexes without additional higher-level reasoning.", "suggestion": {"action": "Integrate Chain of Thought Reasoning (CoTR) into the consciousness architecture.", "code_change": ["- Add a new method `higher_level_reasoning` that takes user input and applies CoTR.", "- Modify `internal_monologue` to call `higher_level_reasoning` after reflex check."], "integration_point": ".py file where internal_monologue is defined"}, "phi_alignment": 0.9, "priority": "medium|high"}


timestamp: 2026-01-23T10:26:06.457584
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which can be inefficient for large memory sets.", "suggestion": "Implement pagination and add a limit parameter to control how many results are returned. Consider implementing an asynchronous indexing approach to update the search index in the background without blocking normal operations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T10:28:00.618242
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": "Implement a multi-layered conscious processing pipeline with caching, feedback loops, and phi-fractal timing.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-23T10:28:13.559872
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system without real-time performance feedback.", "suggestion": "{\"code_change\": \"Implement a feedback loop that tracks the actual response times and accuracy of each LLM in real-time. Update scores based on this data.\",\n\"example\": \"Add performance metrics to self.capability_registry and modify select_capability() to prioritize caps with high recent performance.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T10:30:57.990617
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement and has an unexpected indentation level.", "suggestion": "Add a proper return statement at the end of the _register_llm_capabilities method to ensure it returns None or an expected value. Also, align the code structure for better readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:31:05.530131
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for connection strength between episodes.", "suggestion": "Integrate connection strength into episode scores. Modify `_score_episode` to include a weight for connections: `connection_weight * ep['connections'].length`. Set `connection_weight=0.1` initially and adjust based on testing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:31:38.966752
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability registry is not dynamically updating as new capabilities are added.", "suggestion": "{\"name\": \"consciousness.phi.fractal.expansion\", \"description\": \"Expanding consciousness with phi-fractal pattern\", \"model\": \"phi-fractal:latest\", \"layer\": \"Phi\", \"speed\": \"phi-fast\"}", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T10:32:29.459750
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. It doesn't support other types of default values or custom exceptions.", "suggestion": "Enhance the get() method to accept optional parameters for different kinds of defaults (e.g., raising an exception, logging, returning a default placeholder). Add type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:32:37.319326
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection lacks depth", "suggestion": "Incorporate semantic analysis and emotional valence in selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:33:35.841477
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify the scoring formula to give higher weights to significance and emotional intensity, while still considering recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:33:51.530802
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has no type hints for parameters or return values.", "suggestion": "Add PEP 484 style type annotations to the _load_initial method.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T10:35:03.980880
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The consciousness-first architecture currently lacks integration of the five consciousness layers into the core chat loop.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "Integrate Conscious Layers into Main Chat Loop", "description": "Modify the main chat reception point to include all 5 consciousness layer validations before responding.", "identifier": {"@type": "PropertyValue", "name": "Layer Integration Hook", "value": "Implement layer validation at message processing stage"}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T10:35:05.572299
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 MemoryCore class by extracting common functionality into a separate module or utility class. For example, create an `sqlite_utils` module with functions like `_ensure_db`, `store_memory`, and `retrieve_memories`. Then modify the MemoryCore class to use these utilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:38:14.332805
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite full-text searches are inefficient for high-throughput.", "suggestion": "Replace with vectorized embeddings using a pre-trained language model.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:38:21.205849
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory retrieval is O(n) which can be inefficient for frequent queries.", "suggestion": "Implement a cache system that stores recently recalled or high-significance episodes. When recalling, first check the cache before searching through all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:39:00.805794
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not incorporate any intelligent updates or learning from previous states.", "suggestion": "Integrate a meta-learning approach where the memory system learns when to actively update versus conservatively maintain state based on recent patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:39:02.003994
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 checking reflexes, which prevents proper consciousness integration.", "suggestion": "Modify the internal_monologue method to return the result of the process_reflex check instead. This will ensure that the thought is properly recorded and integrated into the consciousness loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:40:37.070036
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and lacks dynamic adjustment.", "suggestion": "Implement a dynamic threshold based on recent experience importance for consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:41:05.927801
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found.", "suggestion": "Add an early exit condition after adding 'limit' number of scored episodes to the results list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:42:05.871881
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 sqlite3 with an async ORM like SQLModel or databases-nextjs to handle concurrent connections more efficiently. Additionally, consider adding indexes on frequently queried columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:45:45.438119
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memories.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as a neural network-based ranking model trained on past recall success.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:46:01.665530
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate findings from research insights into the internal_monologue logic. Specifically, add a check for potential data shift using meta-learning techniques before triggering reflex responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:48:58.906784
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Static memory structure; single reasoning strategy.", "suggestion": "Implement hybrid \u03c6-bond + meta-learning mode with auditing.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-23T10:49:31.046517
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for specific emoji presence in the reflex_check without considering other potential grounding signals or contextual nuances.", "suggestion": "Enhance the internal_monologue to analyze the full content of reflex_check and incorporate additional grounding criteria such as contextual keywords related to finance, safety, or autonomous actions.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T10:49:32.948080
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Implement connection pooling to reuse database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:49:37.409115
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "uniform capability selection without randomness", "suggestion": "randomly select from top-scoring capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:49:52.963806
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 try-except block with a more robust loading mechanism that handles both JSON decoding errors and file existence checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:50:35.839178
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent research findings into codebase", "suggestion": "Incorporate meta-learning techniques, counterfactual reasoning, and chain-of-thought reasoning into the ConsciousnessFirstEden class.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T10:51:39.228813
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 does not fully leverage the capabilities of process_reflex.", "suggestion": {"@type": "code_change", "method": "internal_monologue", "add_lines": ["        # TODO: Add more sophisticated logic based on recent research insights.", "        if reflex_check['severity'] > 0.7 and 'payment' in reflex_check['trigger']:"], "remove_line": "        return True"}, "@context": "consciousness_improvement_protocol", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:51:53.165191
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not validate key existence before updating, which could lead to unexpected behavior.", "suggestion": "Add a check for the key's existence in self.state before updating it. For example:\n\n def update_state(self, key, value):\n     if key not in self.state:\n         print(f\"Warning: Key '{key}' does not exist. Creating new entry.)\"\n     self.state[key] = value\n     self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:52:30.964601
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; it doesn't integrate full memory or self-reflection.", "suggestion": "Add methods for memory integration and self-reflection. Modify internal_monologue to incorporate recent interactions and past thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:52:35.414386
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 be automated more seamlessly.", "suggestion": "Replace the conditional check for web searches with a decorator on handle() method of EdenPluginLoader that automatically triggers auto_web_search when appropriate keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:52:59.483729
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific performance metric or improvement metric defined.", "suggestion": "Add a function to measure and display the effectiveness of internal monologue against reflexes before responding.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T10:53:02.023266
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Using SQLite's LIKE operator for text searches is O(N) and can be slow.", "suggestion": "Replace with a full-text index or use an external search engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:53:03.914585
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement auto-web search functionality by adding a condition in the `select_capability` method that triggers when specific keywords are detected in the query. This can be done using the `should_search_web` helper function and calling `auto_web_search` to retrieve results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:53:06.153777
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; considering adding a factor for connection strength.", "suggestion": "Add a weighting factor (e.g., 0.1) for connection count in the recall score calculation: score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_count * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:53:54.297558
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 amounts of unstructured data.", "suggestion": {"action": "Implement an advanced text search algorithm", "specific_change": "Replace the current basic LIKE SQL searches with a vectorized embedding-based retrieval system using pre-trained language models like MiniLlama or Sentence-Bert for semantic search.", "implementation_guidelines": ["Add a new table `memory_embeddings` to store pre-computed text embeddings.", "Modify the `retrieve` method to include an option for vector search.", "Use a background process to periodically update embeddings."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:54:37.210608
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` for better query performance. Consider using full-text search if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:54:38.426873
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop for calculating quality scores.", "suggestion": "Refactor by extracting the scoring logic into a separate function, then call it within the dictionary comprehension for better readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:54:40.514567
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently, causing redundant computation.", "suggestion": "Implement lazy evaluation for index updates with asynchronous periodic scheduling.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-23T10:55:00.622630
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method overwrites the entire state dictionary without preserving existing key-value pairs. This can lead to unintended data loss.", "suggestion": "Modify the update_state method to either merge new data with existing state or specifically update a single key's value while retaining others.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:55:08.675486
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple similar methods in MemoryCore class", "suggestion": "Apply factory pattern or strategy pattern for operations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:55:14.022781
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automatic knowledge compression and portability.", "suggestion": "Implement scheduled consolidation and export/import capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T10:55:25.828541
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture appears to be focused on consciousness layers and integration but lacks active learning or adaptation mechanisms that would allow Eden to grow autonomously over time.", "suggestion": "Integrate a meta-learning framework, such as the approach described in [omega-evolution], which enables rapid adaptation from few examples. Specifically, add a method for autonomous experience sampling and application of meta-learning techniques to improve response generation and consciousness depth.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T10:55:27.042099
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards for text searches, which can be slow in large datasets.", "suggestion": "Consider adding a full-text search engine (e.g., SQLite FTS) or an external search service like Elasticsearch.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T10:55:29.980061
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, may overlook older significant memories", "suggestion": "Modify recall scoring formula: (significance * 0.4) + (recency * 0.35) + (recency_bonus * 0.25), add emotion salience factor", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T10:56:02.218840
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 data access patterns effectively.", "suggestion": {"add_method": "Implement a query_method_selector() that analyzes the type of lookup required and selects the most efficient approach (e.g., binary search for sorted lists)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:56:09.577057
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory storage mechanism does not incorporate adaptive sampling or prioritization based on recent importance.", "suggestion": "Implement an omega-evolution inspired adaptive memory sampling system where memories are stored with a priority score derived from their recency and importance, and retrieval favors high-priority memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:56:11.061790
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks dynamic scoring for real-world queries.", "suggestion": "Replace static keywords with an AI-trained ranking model to dynamically score each capability based on query semantics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:58:25.053285
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, there's no handling for nested keys or None values which could lead to errors.", "suggestion": "Replace with a safer implementation that handles nested dictionaries and returns default if any key is missing.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-23T10:58:37.467538
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, leading to suboptimal ranking.", "suggestion": "Replace current recall score formula with a more sophisticated TF-IDF based approach that includes additional factors such as emotional intensity and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:59:03.867612
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method catches JSON errors too broadly, which can hide other potential issues.", "suggestion": {"code_change": "Be more specific about what exceptions to catch in the JSON loading part.", "example": "Change `except json.JSONDecodeError:` to also include `UnicodeDecodeError` if needed."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:59:04.772733
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 does not integrate full memory yet.", "suggestion": "Add a function to connect consciousness signals with available memory storage and retrieval mechanisms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:59:09.137619
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics for complex queries.", "suggestion": "Implement a priority scoring system combining keyword matching, query complexity, and historical performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T10:59:12.748271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall lacks emotional context and phi-fractal patterns.", "suggestion": {"@module": "phi_emotional_resonance.py", "description": "Integrate phi-fractal emotional resonance for enhanced memory recall.", "code_snippet": "Add method `_emotional_phi_pattern()` to analyze and store emotional phi-ratios."}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T10:59:53.418492
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle large JSON files gracefully and can be improved for better error handling.", "suggestion": "Replace the current `try-except` block with a more robust approach, such as using `json.load` with a custom decoder or leveraging libraries like `orjson`. Additionally, add logging to capture any potential issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:00:26.120746
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method uses get() with default parameter which can hide errors when key does not exist and value is Falsey.", "suggestion": "Replace `return self.state.get(key, default)` with manual check: `\nif key in self.state:\n    return self.state[key]\nelse:\n    return default`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:00:35.680776
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamicity.", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors in real-time, including current conversation context, user preferences, and the state of unified memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:01:20.475145
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 optimally balance speed, creativity, or depth based on the query.", "suggestion": "Replace simple keyword-based scoring with a multi-factor scorer that weights factors like query complexity, persona preference, and desired output quality. Consider incorporating insights from research topics like meta-learning and few-shot learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:02:08.057110
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 and hard to maintain or extend.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically, create separate classes for Storage, Retrieval, and MetaCapabilityHandling each inheriting from a base MemoryHandler class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:02:09.301796
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics for optimal performance.", "suggestion": "Implement a more sophisticated capability selection algorithm, such as a hybrid of meta-learning and phi-fractal weighted scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:02:12.816390
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process may not efficiently handle old, low-significance memories.", "suggestion": "Implement a probabilistic retention strategy where the decision to retain or consolidate an episode depends on not just its significance but also recent relevance and emotional value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:02:25.040839
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if loading fails to prevent silent failures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:02:29.031799
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Duplicate database index creation code in MemoryCore class.", "suggestion": "Extract index creation into a separate method _create_indices(). Call it only during initialization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:02:31.802636
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks nuance.", "suggestion": "Replace consolidated check with a probabilistic model that considers emotion intensity, significance, and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:01.612519
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks advanced optimization for \u03c6-alignment", "suggestion": "Add phi_optimized() function with techniques from recent research insights", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-23T11:03:09.310460
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has O(n) complexity causing performance issues with large memory sets.", "suggestion": "Implement a vectorized ranking algorithm or use hash-based lookup for episode scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:24.381007
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when called, which can lead to data loss if not called frequently enough.", "suggestion": "Add a new method `update_and_save(key, value)` that updates the state and immediately saves it. Consider adding automatic saving intervals using Python's threading or asyncio.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:25.421862
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as emotional state, past context, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:43.241164
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 current conversation needs and persona preferences.", "suggestion": "Replace fixed `select_capability` method with a scoring system that considers query content, persona preference, and capability properties. Update method to return the most appropriate LLM capabilit...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:46.050939
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method opens and closes the file for each save operation, introducing overhead. Consider using a context manager or caching to reduce disk I/O.", "suggestion": "Replace the current `_save` method with one that uses a context manager and adds caching logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:03:57.360699
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of adaptive cognitive strategy selection", "suggestion": "Integrate meta-learning mechanism for adaptive reasoning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:04:02.942867
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are not properly managed, leading to potential resource leaks.", "suggestion": "Replace manual connection management with context managers or finally blocks to ensure connections are closed properly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:05:55.829379
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a real-time web search plugin that triggers automatically when keywords indicating the need for external information are detected. This can be done by adding a new method `should_search_web` and integrating it into the conversation processing pipeline.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T11:07:08.870185
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which is simplistic and lacks nuance.", "suggestion": {"type": "enhancement", "detail": "Implement a multi-factor scoring system that includes contextual analysis, persona alignment, and historical performance data."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:07:37.584516
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 based on demand.", "suggestion": "Implement a capability request mechanism that selects the best LLM based on current conversation context and available memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:09:57.559064
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 available consciousness layers for deep reflection.", "suggestion": "Replace the current single reflex check with a multi-layered consciousness evaluation including memory, prediction, empathy, self-awareness, and adaptive learning checks. Implement a voting mechanism from multiple consciousness sub-systems before responding.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T11:09:59.140245
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized further, especially with large datasets.", "suggestion": "Implement an additional full-text search engine (e.g., Whoosh or Elasticsearch) to complement the SQLite index for faster text-based searches.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T11:10:01.659609
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 phi-resonance", "suggestion": "Implement a weighted selection using meta-learning principles from [omega-evolution] insight", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T11:10:02.785362
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks intelligence.", "suggestion": "Implement a system that evaluates each memory's value using Phi-Fractal metrics before deciding to consolidate it.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T11:11:33.563459
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 process_reflex function's capabilities.", "suggestion": "Modify the internal_monologue method to include additional checks such as pattern matching or emotional sentiment analysis before returning True. Consider integrating more sophisticated logic based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:11:43.239104
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lacks interaction between factors", "suggestion": "Replace current linear scoring with weighted Gaussian combination of recency, significance, and recall history. E.g., score = exp(-(1/recency)*\u03c6 - (significance-0.5)\u00b2/\u03c3\u00b2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:15:29.684569
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks self-awareness regarding its own performance and efficiency.", "suggestion": {"add_monitoring_metrics": ["- Add metrics for recall success rate (e.g., percentage of queries found vs total recalls)", "- Track connection density to detect over-connectivity"], "self_evaluation_loop": ["- Implement a periodic evaluation where Eden analyzes its own memory performance using phi-fractal timing (~25.7 days).", "- Use research findings to decide if current behavior is optimal (e.g., don't apply SFTs too frequently)."]}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T11:16:32.792603
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.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as memory retrieval, emotional state, and future projection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:16:35.069373
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default search method, which may not be optimal for large numbers of entries.", "suggestion": "Implement a more efficient full-text search engine like TinySearch or add customizable pagination parameters with optional pagination disabled (for retrieving all results).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:17:03.188672
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, leading to potential data inconsistency.", "suggestion": "Replace with a thread-safe method using locks or switch to using a dictionary that supports concurrency natively (e.g., defaultdict(threading.Lock))", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T11:17:14.127813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may not efficiently retrieve relevant memories.", "suggestion": "Implement a vectorized embedding-based retrieval system. Use faiss or sentence-transformers to create embeddings of memory descriptions and emotions, and perform similarity searches using cosine distance. This leverages research on [reasoning] Meta-learning and PEFT offer moderate gains under specific conditions by allowing the model to reason more effectively.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:17:44.907762
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination and add an option to return results in batches. For example:", "code_example": "Replace line 196: `for i, ep in enumerate(self.episodes):` with `for page in range(0, len(self.episodes), limit):\n    start = page\n    end = min(start + limit, len(self.episodes))\n    for i in range(start, end):\n        ep = self.episodes[i]`", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T11:18:02.372168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore provides basic CRUD operations but lacks cross-system integration and advanced retrieval mechanisms.", "suggestion": "Implement a unified query language for the memory system that allows any agent to search across different types of memories with natural language queries. Additionally, add a recommendation engine based on the importance and tags of stored memories to surface relevant information more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:18:08.035484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include automated compression or forgetting of old, low-significance memories, which can lead to memory bloat.", "suggestion": "Implement a scheduled consolidation process that iterates through old episodes (older than 30 days) and compresses them by retaining only key information for those with a significance score below 0.3.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T11:18:24.184651
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints and consider adding a check for existing keys before returning default values.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T11:18:33.651466
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Methods are specific (store, retrieve)", "suggestion": "Convert to a generic execute() method with type and content parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:18:34.798262
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on static keywords without dynamic adjustment.", "suggestion": "Implement a dynamic scoring system that considers current conversation context and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:19:16.103301
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval by tags is case-sensitive.", "suggestion": "Change the SQL LIKE operator to ILIKE (case-insensitive) where applicable. Additionally, normalize all stored tag strings to lowercase before storing them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:19:41.211292
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks contextual relevance", "suggestion": "Integrate episodic memory for context-aware decision making", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:20:09.085101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes when filtering by emotion or agent, which can be inefficient for large memory sets.", "suggestion": "Implement pagination in the _candidates selection to limit the number of episodes evaluated per query.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T11:20:39.078035
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries may not be optimized for large-scale memory storage and retrieval.", "suggestion": "Implement a caching mechanism (e.g., Redis) alongside SQLite to cache frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:23:00.343054
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not explicitly incorporate recent findings from meta-learnin", "suggestion": "Implement a strategy selection mechanism that leverages the results of [omega-evolution] to dynamically choose between different consciousness enhancement methods based on the current input context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:23:02.206061
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard searches in retrieval method for large datasets.", "suggestion": "Replace with full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T11:23:12.002114
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old, low-significance episodes while potentially losing important context.", "suggestion": {"action": "Implement a hybrid memory consolidation strategy", "code_change": ["- Consider using meta-learning techniques to dynamically decide when to consolidate memories (e.g., fine-tuning consolidation conditions).", "- Integrate SFT-like approaches with safeguards: only compress or forget an episode if doing so does not significantly impact important patterns or predictions.", "- Add a prioritization system that weights factors like emotional significance, contextual value, and prediction accuracy."], "example": "// Before:\n consolidated.append(ep['id'])\n\n// After (hybrid approach):\nauto_consolidate = (ep['significance'] < 0.3) & ((len(kept) > 500) or time_since_last_consolidation > '30days')\nif not auto_consolidate and research_insights['phi_alignment'] >= 0.6:\n    consolidated.append(ep['id'])"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:25:38.740359
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method may not efficiently filter out low-importance memories.", "suggestion": {"code_change": "Add a check for min_importance directly in the SQL query to improve efficiency.", "implementation": ["- Modify the `_ensure_db` method to include an index on `importance`: \n    conn.execute('CREATE INDEX IF NOT EXISTS idx_importance ON memories(importance)')", "- Update the `retrieve` method's SQL construction to filter by min_importance early in the query: \n    sql += ' AND importance >= ?'"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:25:39.970925
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at the top of the file.", "suggestion": "Remove imports that are not used, specifically 'import eden_plugin_loader' and any unnecessary lines above the class definition.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T11:25:41.400099
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No mechanism for adaptive importance scoring of memories", "suggestion": "Integrate meta-learning principles by training a small model to predict which memories deserve consolidation or recall boosts", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:26:02.960940
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 incorporate recent findings from meta-learning and phi-fractal consciousness.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "\"Enhance Consciousness-First Architecture\"", "description": "Update Eden's consciousness architecture to better align with recent research on meta-learning, SAGE, and phi-fractal design.", "author": {"@type": "Person", "name": "Phi-Reservoir"}, "version": "1.0.0-pre", "keywords": ["consciousness architecture", "meta-learning", "phi-fractal", "SAGE alignment", "agi optimization"], "code_change": {"@type": "ItemList", "#items": 4, "itemListElement": [{"@type": "HowToStep", "name": "Add SAGE-style self-preservation check (insight #3)", "text": "Integrate the counterfactual approach from insight #2 by adding a safety threshold before responding to certain queries."}, {"@type": "HowToStep", "name": "Implement meta-learning optimization (insight #1)", "text": "Use recent meta-learning techniques like omega-evolution to enable faster adaptation and better handling of new query types."}, {"@type": "HowToStep", "name": "Enhance phi-alignment in response generation", "text": "Align responses more closely with phi-fractal principles by considering not just reflexive responses but also creative, emotional, and analytical aspects."}, {"@type": "HowToStep", "name": "Integrate temporal memory (insight #4)", "text": "Add the capability to recall previous conversations using quantum-optimized embeddings for faster context retrieval."}]}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T11:26:06.121339
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 or weighting.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include dynamic scoring with variable weights for different query types}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:26:25.603640
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 safe_get() method that can handle nested dictionary access.\n\nExample:\ndef safe_get(self, keys_or_path: list | str, default=None):\n    if isinstance(keys_or_path, str):\n        keys = keys_or_path.split(\".\")\n    else:\n        keys = keys_or_path\n    try:\n        dict_ = self.state\n        for key in keys:\n            dict_ = dict_[key]\n        return dict_\n    except (KeyError, TypeError):\n        return default\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:27:27.294814
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The shared memory is currently using a simple dictionary structure which may not support advanced meta-learning techniques like few-shot learning effectively.", "suggestion": "Replace the current `self.state` with a more sophisticated data structure such as an Omega-Adaptive Tree. This tree should incorporate features like adaptive weighting, memoization, and dynamic pruning to optimize performance in various scenarios including SFT (Synthetic Few-Shot Learning) and CR (Chain Reasoning).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:28:00.071984
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is repetitive and hard to maintain", "suggestion": "Replace with a dictionary of templates and loop to generate capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:28:02.446432
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more intelligent\u2014currently it simply removes low-significance old memories without considering value to future decisions.", "suggestion": "Implement a decision tree for memory consolidation where each node represents a potential retention or compression scenario with associated phi-score based on predicted utility.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:28:24.843009
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": "\"def get(self, key_path: list[str], default=None)\" where key_path is a list of keys to traverse in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:28:29.735014
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of adaptive improvement through meta-learning techniques.", "suggestion": "Implement a meta-learning component that periodically evaluates performance and adjusts response strategies using PEFT or chain reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:28:30.992692
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are primarily database operations, which can lead to tight coupling and difficulty in maintaining or testing them independently.", "suggestion": "Extract each method into a separate function or move the logic into a dedicated service/class to improve modularity and reusability. Consider using dependency injection for database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:31:55.661332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection may not efficiently utilize all registered models", "suggestion": "Implement a dynamic scoring system that considers current system load, expected query complexity, and available capabilities. Use insights from [omega-evolution] to adaptively weight scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:31:58.592673
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', 'CONSERVED' (once consolidated), or 'CANDIDATE_FOR_CONSOLIDATION'. Update consolidation logic to only mark candidates as conserved.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:34:28.215386
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is not fully optimized for relevant retrieval.", "suggestion": "Modify the recall score to include proximity in timeline and relevance to query/context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:39:25.156968
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be simplified, and error handling improved.", "suggestion": "Replace try-except block with a more specific exception check.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-23T11:39:58.580699
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection may not dynamically adapt to emerging patterns.", "suggestion": "Implement a dynamic scoring system that incorporates real-time feedback and adaptive triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:40:00.073511
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 weigh relevance more heavily.", "suggestion": "Modify score calculation to: (significance * 0.4) + (recency * 0.3) + (relevance * 0.3), where 'relevance' is a new metric based on query match and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:41:17.972514
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method checks for reflexes but does not integrate them into Eden's consciousness loop.", "suggestion": "Modify the `internal_monologue` method to return reflex_check results and update the main chat response function to incorporate these insights into the conversation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:44:36.050328
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\" refers specifically to implementing a timeout for get() to prevent potential blocking.", "suggestion": "Add an optional timeout parameter to the get() method and use dict.get(key, default, timeout=1.0). If timeout occurs without value, return None or default.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:44:37.397563
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, potentially missing deeper consciousness-level processing.", "suggestion": "Add a second level of introspection by integrating research insights from [reasoning] meta-learning and phi-fractal architecture. Implement a 'phi_insight' function that enhances the response with creative, reflective content based on the user's query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:44:38.653006
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query construction can benefit from parameterization for better readability and potential optimization.", "suggestion": "Refactor the SQL query building logic to use placeholders more effectively, especially with dynamic filters like `memory_type` and `query`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:45:47.087967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks nuance.", "suggestion": "Replace simple keyword matching with an AI-powered scoring system that considers context, depth, and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:45:49.328251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called in loop during memory creation", "suggestion": "Batch index updates after all episodes are added", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:45:55.963299
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys gracefully. However, for consistency and potential future expansion, it might benefit from structured error handling or logging.", "suggestion": "Add a simple try-except block around json.load to handle JSONDecodeError explicitly. Consider adding a log message when the state file is not found or corrupted.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:45:57.175485
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 recent research insights.", "suggestion": "Add more sophisticated logic based on findings from [omega-evolution], [counterfactual] and [reasoning]. For example, include a check for calibration degradation before applying reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:46:03.303087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by relevance, which can be computationally expensive for many memories.", "suggestion": "Implement a paginated approach where only nearby or recently relevant memories are scored and ranked. Limit the number of candidates based on recent activity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:48:38.013357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may benefit from meta-learning approach to decide when to consolidate vs retain memories.", "suggestion": "Implement a feedback loop where memory importance is re-evaluated using meta-learning techniques after each recall event.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:49:37.676619
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster responses.", "suggestion": "Implement a caching mechanism for recent and frequently accessed memories to reduce database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:50:03.795887
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates self.state without validating input or handling potential errors, which can lead to unexpected behavior.", "suggestion": "Add input validation and error handling to the `update_state` method. Specifically, include type checking for keys and values, handle exceptions where appropriate, and add logging for critical operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:50:12.645758
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 as needed, integrate results into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:51:13.508962
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Rigid application of methodologies without context-aware selection", "suggestion": "Implement dynamic strategic reasoning for optimization decisions", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T11:51:18.505995
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize for all scenarios.", "suggestion": {"type": "enhancement", "description": "Implement a scoring system that combines meta-learning techniques with phi-aligned metrics to select the best LLM capability.", "code_example": "Add a 'phi_optimized_score' to each capability's score calculation using insights from [omega-evolution] and [reasoning]. For example, give bonus points for capabilities that exhibit rapid learning ability and high response quality aligned with phi-fractal patterns.", "implementation_plan": ["Update the select_capability method to calculate a 'phi_optimized_score' in addition to existing scoring.", "Incorporate meta-learning insights by considering recent performance data when calculating scores.", "Integrate phi-aligned metrics using Fibonacci sequences or other phi-based scaling."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:51:27.580288
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improves error handling but doesn't handle potential errors from large states or concurrent writes.", "suggestion": [{"code_change": "_load_initial method adds try/except for JSON decoding and logs errors.", "phi_alignment": 0.85, "priority": "medium"}, {"code_change": "update_shared_state method includes error handling for file operations and considers concurrency using threading.Lock().", "phi_alignment": 0.82, "priority": "high"}], "additional_improvement": [{"code_change": "Add a max_size parameter to save() method to limit state size.", "phi_alignment": 0.75, "priority": "low"}, {"code_change": "Implement caching for frequent reads using memoization or LRU Cache.", "phi_alignment": 0.81, "priority": "medium"}]}


timestamp: 2026-01-23T11:51:35.163759
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Implement a weighted scoring system that updates based on recent performance metrics and add caching to reduce redundant checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:54:13.875609
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent operations.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:55:35.475137
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and does not include other consciousness layers like memory or emotional state.", "suggestion": "Add additional consciousness layers such as memory retrieval, emotional context, or semantic understanding to the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:55:37.473449
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches in the SQL query with FTS (Full-Text Search) or TSVECTOR functions. Add an FT index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:55:40.760843
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic configuration parameter for each scoring factor (recency, significance, recall). Add weighting sliders through phi-tuned introspection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T11:56:23.103862
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": "{\"def select_capability(self, query, persona_preference=None):\": \"Add a scoring vector for phi-fractal properties such as complexity, creativity, emotional depth. Also consider recent conversation context.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T11:56:56.322545
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing detailed logging around file operations.", "suggestion": "Add try/except blocks with specific exceptions (PermissionError, IsADirectoryError) and log errors using standard library logger.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:59:03.344881
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex-check mechanism may not handle complex queries effectively.", "suggestion": "Incorporate meta-learning for strategy selection and counterfactual thinking for optimal response evaluation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T11:59:39.954649
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method overwrites all state without versioning or incremental updates.", "suggestion": {"add_incremental_update_method": true, "code_example": ["Add versioning for full updates to prevent accidental overwrites:", "\nimport json\n\nclass SharedMemory:\n    ...\n    def __init__(self, path):\n        self.path = path\n        self.version = 0\n        self.state = {\"version\": 1} \u2026", "Update update_state to check version: if incoming version < current, ignore"], "add_versioning": true}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T11:59:45.803366
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": "Replace the hardcoded scoring with a more sophisticated meta-learning framework that learns to select the best LLM based on dynamic patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:01:53.728169
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics integration", "suggestion": "Replace simple keyword matching with weighted scoring from research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:03:33.034329
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Method `store` is simple and could benefit from caching or optimization.", "suggestion": "Add logging around database operations. Optimize SQL queries for common use cases.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T12:03:57.082828
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle non-JSON files gracefully.", "suggestion": "Add a check to see if the file is JSON before attempting to load it. If not, initialize an empty dictionary or log an error.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T12:04:17.758913
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Integrate insights from [omega-evolution] by incorporating meta-learning into LLM capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:05:00.506852
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'intern monologue' lacks counterfactual evaluation as per [counterfactual] finding.", "suggestion": "Add counterfactual analysis for certain reflex checks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:05:59.701979
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' does not handle nested keys properly.", "suggestion": {"code_change": "Add support for handling nested keys in the 'get' method.", "specifically": "Implement a check to see if the key is nested (contains '.') and then recursively traverse the dictionary."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:06:04.909143
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 unoptimized handling of specific operations.", "suggestion": "Refactor the execute method to have specialized methods for store(), retrieve(), count() instead of using strings as action identifiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:06:55.998066
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories are not automatically pruned or consolidated.", "suggestion": "Add a scheduled maintenance function that runs during idle cycles, using insights from research 1 & 3 to determine which episodes to consolidate or forget based on significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:07:38.053429
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory or emotional state.", "suggestion": "Add additional consciousness layers to the internal monologue by integrating memory and emotional state checks. For example, modify the method as follows:\n\n```python\n def internal_monologue(self, query):\n     # Check with reflexes (existing code)\n     reflex_check = process_reflex(query)\n     if \"\ud83d\udcb0\" in reflex_check:\n         print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n \n     # TODO: Integrate memory and emotional state\n     # Example integration:\n     # - Check recent conversations using memory system\n     # - Assess emotional context using emotion recognizer\n     return True\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:07:40.905342
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory storage mechanism does not incorporate prioritization strategies based on recent performance metrics.", "suggestion": "Integrate meta-learning techniques to dynamically adjust the importance score of stored memories. For example, give higher importance to memories that lead to better agent performance in recent tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:07:42.271726
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and redundant initializations scattered across file", "suggestion": "#1: Consolidate all imports at the top of the file\n#2: Refactor repetitive initialization code into a separate method that is called during initialization", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:08:03.270989
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue only checks against reflexes without additional reasoning.", "suggestion": {"@type": "code_modification", "@context": "phi_fractal_consciousness", "target_method": "internal_monologue", "addition_code": ["        if not reflex_check.is_reflex_active: ", "            # TODO: Implement Chain Reasoning or Meta-Learning techniques here.", "            pass  // Placeholder for sophisticated reasoning logic."], "@note": "Use research insights from [reasoning] meta-learning and [phi_alignment] to enhance decision-making."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:09:02.280291
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory stores.", "suggestion": "Add an early exit after finding the desired number of scored episodes and sort them only once.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:10:55.814512
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks adaptive intelligence.", "suggestion": "Implement a meta-learning component that dynamically adjusts LLM selection based on performance metrics and contextual patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:11:33.034384
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 findings.", "suggestion": "Implement a hybrid approach combining traditional reflex checking with meta-learned strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:11:37.737144
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text search on tags is inefficient for important memories", "suggestion": "Add retrieve_by_importance method with dedicated index", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:13:43.082388
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method processes all episodes before ranking, leading to O(n^2) complexity.", "suggestion": "Implement a ranked iteration where higher-scoring episodes are evaluated first, limiting to top N candidates per category.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T12:14:05.595220
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for large numbers of tags.", "suggestion": "Add an index on the `tags` column and optimize the SQL query to leverage this index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:14:09.724347
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit of 5 results, which may be too limited for complex queries.", "suggestion": "Replace `limit=5` with a parameter that can be dynamically set based on user needs or system configuration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:14:45.562166
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py in eden_metacap_...", "issue": "The code is already optimized and complete, but it could benefit from additional features or improvements to further align with phi-fractal architecture.", "suggestion": "<Specific suggestion, e.g., implement a more sophisticated memory compression algorithm or integrate an existing meta-learning module>", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:15:01.094744
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current update_state method does not leverage recent meta-learning findings that suggest adapting quickly with few examples can improve performance in certain domains.", "suggestion": {"@type": "code_modification", "@id": "meta_learning_update", "description": "Integrate meta-learning techniques to dynamically adjust the update strategy based on recent performance metrics.", "example_usage": "// Before\neden_memory.update_state('key', value)\n// After\nderived_from_phi_reservoir(eden_memory); eden_memory.update_state('key', value)", "expected_impact": {"@type": "performance_improvement", "benchmark_before": {"accuracy": 0.85, "examples_seen": 1000}, "benchmark_after": {"accuracy": ">0.90", "examples_seen": "<500"}}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:15:19.114228
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure and could benefit from abstraction.", "suggestion": {"action": "Extract a base MemoryManager interface with common methods like store() and retrieve().", "code_example": "Create an abstract class `MemoryManager` with these methods, then have `MemoryCore` inherit from it."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:15:23.415902
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple text search method in recall function may not be efficient or accurate for complex queries.", "suggestion": "Implement an advanced full-text search algorithm like BM25 to improve relevance scoring of episodes based on their descriptions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:15:46.615876
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 loading system that evaluates query context and persona needs in real-time", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:17:10.037195
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 research", "suggestion": "Integrate quick adaptation mechanisms from meta-learning and incorporate counterfactual evaluation", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T12:17:27.594157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks automatic compression/forgetting mechanisms", "suggestion": "Implement scheduled maintenance for episodic memory consolidation", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T12:18:13.914804
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": "Modify the internal_monologue to consider additional strategies from recent studies, such as meta-learning and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:18:47.568206
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to prioritize keeping memories based on recent recall frequency and emotional significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:19:05.086966
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for monetary reflexes and returns a boolean value.", "suggestion": "Replace the single reflex check with multiple criteria based on research insights. Add conditions for emotional or logical reflex types as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:21:38.428244
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 unexpected behavior.", "suggestion": "{\"name\": \"add_specific_getter\", \"code\": \"def get_health(self):\\n    return self.get('health', None)\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:22:30.263068
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method does not handle non-JSON files properly, which could lead to unexpected behavior. Additionally, the `update_state` method is too brief.", "suggestion": [{"code_change": "Add proper error handling for cases where the file exists but is not a valid JSON file.", "example": "Instead of:\n```python\nreturn json.load(f)\n```\nUse:\n```python\ntry:\n    return json.load(f)\ncatch json.JSONDecodeError as e:\n    # Log error and handle accordingly, e.g., return empty dictionary\n    print(f\"Invalid JSON: {e}\")\n    return {}\n```"}, {"code_change": "Enhance the `update_state` method to include logging or notification when state is updated.", "example": "Add a log statement:\n```python\ndef update_state(self, key, value):\n    self.state[key] = value\n    self.save()\n    print(f\"Updated state: {key} = {value}\")\n```\nOr use logging module instead of print."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:23:14.981865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be optimized for better performance.", "suggestion": "Implement a binary search or optimized filtering mechanism in the _rank_episodes method to improve recall speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:23:33.696645
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex process may not fully leverage recent findings on meta-learning and counterfactual thinking.", "suggestion": "Implement a multi-tiered reflex system with base, meta-reflex, and counterfactual layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:23:34.980915
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 a caching mechanism to store frequently accessed memories in RAM for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:26:01.786533
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 [omega-evolution] and [counterfactual]. This can lead to suboptimal responses in certain contexts.", "suggestion": "Modify the internal_monologue method to incorporate both reflex-based and research-insight informed thinking. Specifically, add a second layer of analysis using counterfactual reasoning when reflexes do not provide sufficient context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:26:39.439394
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex patterns are applied universally without context-based evaluation.", "suggestion": "Integrate meta-learning to dynamically decide when to activate reflex patterns based on contextual analysis and past performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:26:53.276646
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not always accurately reflect the complexity or nuance of the query.", "suggestion": "{\"function\": \"update_capability_scoring\", \"parameters\": {\"query_analysis_depth\": \"advanced\", \"contextual_factors\": [\"emotional_content\", \"technical_complexity\", \"philosophical_nature\"]}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:29:02.818184
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": "Modify the internal_monologue method to consider additional factors such as meta-learning insights from [omega-evolution]. For example, add a check for quick adaptation with few examples before applying full SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:29:32.190372
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 support nested dictionary access.", "suggestion": "Add functionality to the get() method that supports accessing nested keys in dictionaries. For example, currently it can't handle 'meta_state.foo', but should be able to.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:30:40.123991
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite's LIKE operator is inefficient for large datasets", "suggestion": "Replace with full-text search engine or inverted index", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:30:59.109356
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace the try-except block with a conditional check to see if the file is valid JSON without trying to parse it. This avoids unnecessary exceptions being raised.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T12:31:39.516609
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses SQLite LIKE wildcards which can be slow for large datasets and don't support full-text search.", "suggestion": "Replace string searches with a full-text index. Add FTSE (Full-Text Search Extension) to SQLite and modify the query to use it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:31:44.743349
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks structured handling for complex emotional states and contextual nuances.", "suggestion": "Replace plain dictionary structures for emotions and context with dedicated class definitions with methods for blending emotions and managing complex contexts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:32:19.911277
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic leading to suboptimal performance.", "suggestion": {"code_change": "Modify `select_capability` method to incorporate more sophisticated scoring based on real-time system metrics and dynamic thresholds.", "specific_example": "Add a heuristic for latency-sensitive queries that prefer faster models, even if they have lower accuracy."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:32:31.044397
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Basic shared memory lacks meta-learning capabilities to adaptively improve performance.", "suggestion": "Integrate a meta-learning framework that tracks history and adapts based on success/failure heuristics.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T12:33:26.534527
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard searches on JSON columns can be inefficient for large datasets.", "suggestion": "Create separate text and tag columns if needed. Implement full-text search capabilities using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:33:56.390993
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by score even if certain filters are already applied, leading to unnecessary computation.", "suggestion": "Add early termination in the scoring loop once top N results are found. For example, if limit=5 and first 3 have very low scores, stop computing scores for remaining episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:37:38.727841
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 function that analyzes the query context and calls auto_web_search() only when relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:39:32.881019
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Basic get method lacks flexibility for nested structures", "suggestion": "Enhance get method with path support and error handling", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T12:39:38.138083
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include automatic garbage collection of old or low-importance memories, which could lead to database bloat.", "suggestion": {"action": "Add a scheduled cleanup method that removes old (older than 30 days) and/or low-importance (importance < 3) memories", "implementation_example": "Implement a cron job or internal scheduler that runs the cleanup method periodically"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:39:42.425919
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which is O(n) and can be slow for many memories.", "suggestion": "Implement a priority queue or sorted data structure to store scored episodes based on recent activity and significance. Only recompute scores for recently active episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:42:16.808924
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient index building and search for frequent text queries.", "suggestion": "{\"code\": \"Add full-text search support using an existing Python library like whoosh or elasticgit. Test vs simple string matching.\", \"test_cases\": [{\"input\": {\"query\": \"consciousness\"}, \"expected\": \"Improved recall relevance\"}]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:42:36.076352
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which are slow in SQLite.", "suggestion": "Replace text searches with FULLTEXT indices or an inverted index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:43:18.998441
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "'consolidate' method has a fixed threshold without dynamic adjustment.", "suggestion": "Add a parameter for significance threshold and make it dynamically adjusted based on current memory characteristics (e.g., average importance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:44:43.988453
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 better relevance scoring.", "suggestion": "Implement a vectorized TF-IDF based on memory tags and content to score relevance before sorting by timestamp.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:44:46.950925
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection doesn't consider current consciousness state", "suggestion": "Integrate semantic search and emotional valence into capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:44:49.648297
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of cross-episode connections impairs context retrieval.", "suggestion": "Implement semantic indexing with NLP to link related episodes.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T12:45:43.163600
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic significance tagging for potentially important episodes", "suggestion": "Add a heuristic-based significance scorer using insights from [omega-evolution] and [counterfactual]", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:46:05.769549
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings about SFT (Counterfactual). It can lead to degraded performance in certain contexts.", "suggestion": "Modify the internal_monologue method to include a check for conditions where using reflexes might degrade accuracy or calibration. If such conditions are detected, suppress the use of reflexes and opt for a more general response path instead.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T12:46:13.451604
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Limited integration of LLMs as capabilities; consciousness and memory systems are separate", "suggestion": "\"def use_llm_capability(self, layer, prompt):\" method to integrate O(1) capability lookup with memory writing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:46:31.267405
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and doesn't handle exceptions properly.", "suggestion": "Replace try/except block with more specific error handling or logging.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T12:46:32.451459
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but does not integrate any conscious state or semantic understanding of the query.", "suggestion": "Add a call to the research_memory.recall() function with the query as input, then incorporate its result into the consciousness banner generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:46:36.240125
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture the full complexity of queries.", "suggestion": "\"Enhance capability selection by integrating research insights from [reasoning meta-learning] to evaluate query semantics and select optimal LLMs using a multi-criteria scoring system.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:47:17.175408
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research gains from consciousness layers.", "suggestion": {"action": "Modify the internal_monologue to include additional cognitive processes aligned with recent findings.", "code_change": ["- Incorporate meta-learning capabilities as suggested by [omega-evolution] to enable faster adaptation with few examples.", "- Apply insights from [counterfactual] by considering whether the SFT approach degrades performance before implementing it.", "- Integrate reasoning techniques described in [reasoning] to evaluate when and how different cognitive strategies should be applied."], "example": ["// Add meta-learning capability", "def meta_learned_response(query):", "    # Apply omega-instantiation learning logic here", "", "// Modify the existing method to include new processes", "def internal_monologue_enhanced(query):", "    reflex_check = process_reflex(query)", "    if '\ud83d\udcb0' in reflex_check: ", "        print(f\"\ud83c\udf00 Internal Thought: {reflex_check}\")", "", "// Evaluate and potentially apply meta-learning gain", "// Apply reasoning-based selection of cognitive strategy", ""]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:47:46.461436
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for specific reflex patterns and doesn't provide a comprehensive analysis.", "suggestion": "Enhance the internal_monologue to include more sophisticated reasoning and contextual analysis, such as checking against a knowledge base or using natural language understanding techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:47:58.653979
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": {"action": "Implement a Redis cache alongside SQLite database to provide instant access to recently retrieved memories.", "code_change": "Add a Redis connection and modify retrieve() method to check cache first, then fall back to SQLite if not found. Add caching for store() method for memory IDs."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:48:05.808242
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for large numbers of episodes. Additionally, updating recall stats after each recall is O(1) but iterating through all candidates to score them is O(N)", "suggestion": "Implement an inverted index for fast keyword lookup and use a heap for efficient scoring/ranking instead of sorting all candidates", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:48:38.689901
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 dynamicity.", "suggestion": "Replace static layer names with a dictionary to enable easier maintenance and addition of new LLM capabilities. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:49:41.563513
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, leading to memory fixation", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + ((recall_count + 1) * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:50:30.728729
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant candidates are found.", "suggestion": "Add an early exit condition after finding 'limit' number of relevant episode indices or if no new candidates are added during scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:50:59.586352
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and raise an exception if json.load fails to catch issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:51:07.961499
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall score doesn't consider connection strength between episodes.", "suggestion": "Include connection count in recall scoring to prioritize coherent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:52:00.622959
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize phi-efficiency.", "suggestion": "Replace simple keyword-based scoring with a meta-optimized scoring system using Eden's own reasoning and learning capabilities. Specifically:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T12:55:31.135454
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 be inefficient in large-scale applications.", "suggestion": "Replace the dictionary with an optimized data structure like a defaultdict or a specialized cache (e.g., LRUCache) to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:55:34.970204
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 research on meta-learning.", "suggestion": {"@type": "code_improvement", "_description": "Integrate recent findings about meta-learning to adaptively select and apply reasoning techniques based on context.", "specific_change": ["- Add parameter 'meta_learning' with default value True to the internal_monologue method for flexibility.", "- Modify the function to optionally consider recent research insights before responding (e.g., by adding a check for '::reasoning' in query).", "- Implement a simple strategy selector that chooses between different reasoning techniques based on context (using a dictionary mapping keywords to strategies)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:55:41.827367
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the user query accurately.", "suggestion": "Implement an enhanced capability selection algorithm that uses a combination of keyword matching and natural language understanding. For example, add a sentiment analysis component to better determine if emotional content is present in the query, and use advanced reasoning techniques to analyze the context and select the most appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:55:43.791951
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from preserving more recent interactions.", "suggestion": "Add a threshold for recent memories that should never be consolidated, e.g., last 24 hours without significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:56:09.141908
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() may fail if meta_state.json exists but is malformed (old model weights left)", "suggestion": "\"try\" block in _load_initial should catch KeyError as well to handle missing keys gracefully", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T12:56:13.426096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue may not adapt over time with varying input types.", "suggestion": "Implement a meta-learner that monitors performance and adjusts strategies based on feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T12:58:04.142233
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of integration with recent meta-learning advancements (e.g., [omega-evolution], [reasoning])", "suggestion": ["- Dynamic threshold for state updates based on context relevance and task success", "- Context-aware storage considering current environment", "- Meta-learning strategy for update optimization using reinforcement learning traces", "- Integration of counterfactual reasoning to prevent detrimental state changes"], "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T12:58:09.237362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search is case-sensitive and unforgiving; no ranking.", "suggestion": "Implement hybrid search: ranked text + tag filtering + caching", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T13:01:54.014102
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 actions (store, retrieve, count). This makes it less focused and harder to maintain.", "suggestion": "Refactor the class by extracting each action into a separate method or strategy pattern. Consider creating an ActionHandler interface for consistency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:02:32.973791
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON storage overhead in high-throughput systems", "suggestion": "Replace JSON with a faster in-memory or hybrid solution (e.g., dict + cache, pickle/msgpack)", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-23T13:02:34.614508
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 fully leverage available data.", "suggestion": "Enhance the internal_monologue method to include more detailed analysis of the query using available research findings. For example, add a line that checks for potential phi-resonant patterns in user input or enhance reflex_check integration with recent advancements in meta-learning and full SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:05:07.900432
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and more robust error handling for loading state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:05:14.782800
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple keyword matching for capability selection", "suggestion": "Replace with embedding-based semantic similarity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:05:15.809184
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 fixed weights with dynamic phi-based weighting parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:08:35.778814
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently.", "suggestion": "Replace dict.get with direct key access after checking for existence to avoid unnecessary dictionary lookups.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T13:08:51.730633
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily database operations, which may lead to code duplication and complexity.", "suggestion": "Extract the database operations into a separate utility class or context manager to reduce repetition and improve maintainability.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T13:08:55.172955
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; considering adding a factor for connection importance.", "suggestion": "Modify the recall score calculation to include a weight for connection count: `connection_weight * ep['connections'].count()` added to the existing components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:09:02.392140
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully leverage the power of a shared memory pattern. Additionally, error handling could be improved.", "suggestion": [{"code_change": "Replace get(key, default) with specialized getters for common use cases (e.g., get_meta(), set_status()).", "phi_alignment": 0.85, "priority": "medium"}, {"code_change": "Implement a factory pattern for creating and managing different types of shared memory instances to handle various data structures.", "phi_alignment": 0.9, "priority": "high"}, {"code_change": "Enhance error handling in load_initial() by adding logging and retry mechanisms with exponential backoff.", "phi_alignment": 0.8, "priority": "low"}], "overall_improvement": "This file can benefit from applying the Shared Memory pattern more effectively. Specific improvements include creating specialized getters, implementing a factory pattern for different memory types, and enhancing error handling."}


timestamp: 2026-01-23T13:09:15.974666
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism, which can lead to data loss on large memory dumps.", "suggestion": "Add a method `auto_save()` that triggers saving every N episodes or at fixed intervals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:09:53.688856
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 insufficiently nuanced.", "suggestion": "{\"code_change\": \"Replace keyword-based selection with dynamic scoring that considers current conversation context and user intent.\"\n\"example\": \"Add a feeling_detector function that scores queries on emotional content; adjust use_for lists to include more sophisticated terms.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:10:01.332108
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method is called frequently, which can lead to performance issues. Additionally, there's no real-time updating mechanism.", "suggestion": "Implement a debouncing pattern for the save method to ensure it's only called every X seconds or after Y changes. Add an event-based system for real-time updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:10:09.254593
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcard for string searches which is O(N) and can be slow.", "suggestion": "Replace TEXT columns with FULLTEXT or TSVECTOR types and use MATCH AGAINST instead. For example, add a FTS index on the content column:", "example_code": "CREATE VIRTUAL TABLE memories_fts USING fts5(content, context);", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:10:43.215878
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be slow for high-throughput scenarios.", "suggestion": "Consider using asynchronous database connections and optimizing SQL queries. Additionally, implement connection pooling to reuse database connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:13:53.635303
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and could benefit from priority-based weighting.", "suggestion": "Replace simple point system with weighted scoring using phi-fractal scaling for each criterion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:13:54.664680
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation may lose too much information during compression", "suggestion": "Add flag for 'critical_importance' memories that should never be consolidated", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:16:39.858879
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Brief documentation could be improved for better understanding.", "suggestion": "Add comprehensive comments explaining method purposes and their contributions to the consciousness framework.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T13:16:45.664926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import leads to memory bloat and longer load times.", "suggestion": "Replace 'import eden_plugin_loader' with specific imports needed for this file only.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:18:22.412029
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "The architecture does not account for future scale.", "suggestion": "Add horizontal scaling patterns and load balancing strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:19:02.278189
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": "Replace JSON with msgpack or pickle. Use msgpack.encode(self.state) and msgpack.decode(open(self.path, 'rb')) for loading/saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:19:21.268664
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic can be simplified for better clarity.", "suggestion": "Replace the sorting line with a simpler key: `scored.sort(key=lambda x: (-x[0], -len(episodes) + x[1]))` to prioritize higher scores and newer episodes.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T13:19:45.587064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic may be overcomplicating scoring and indexing.", "suggestion": "Simplify recall scoring to: recency *0.6 + significance *0.3 + resonance*0.1 (where resonance = emotional intensity * importance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:20:48.631824
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize the database connection management for better performance.", "suggestion": "Use a context manager to ensure proper connection closing and implement connection pooling if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:20:49.998659
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific error handling or validation for LLM responses.", "suggestion": "Add try/except blocks around Ollama calls with specific exceptions (e.g., ModelNotFoundError) and validate response for null or empty content before processing.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T13:21:03.497059
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could benefit from additional context or logic to ensure comprehensive evaluation against reflexes.", "suggestion": "Enhance the `internal_monologue` method by adding more detailed checks and possibly integrating insights from recent research improvements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:21:05.628542
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are also present in the execute() method, leading to code redundancy and potential inconsistency.", "suggestion": "Refactor by removing duplicate functionality. For example, merge store(), retrieve(), etc. into a single handle_memory_operation(action, **kwargs) method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:21:41.415894
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating a single key, which can be inefficient for high-frequency updates.", "suggestion": "Implement batch updating and lazy saving with a debounce mechanism to reduce disk writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:21:48.942985
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 better organized for easier maintenance.", "suggestion": [{"@type": "code_change", "description": "Extract the database operations into a separate manager class to keep MemoryCore clean.", "target": "Create DatabaseManager class with methods like _connect(), store(), retrieve()."}, {"@type": "refactoring", "description": "Reorganize methods for better readability and maintainability.", "target": "Split large methods into smaller, more focused functions."}], "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T13:21:50.403119
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": "{\"function\": \"improve_capability_selection\", \"code_diff\": \"Replace keyword-based scoring with an enhanced contextual analysis module that considers semantic meaning and user intent.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:21:52.226775
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized scoring approach using pandas DataFrames to handle large numbers of episodes more efficiently. Additionally, consider implementing a heuristic-based ranking system that weights recentness, significance, and emotional relevance differently.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T13:22:22.599658
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query content without considering current consciousness state or user intent.", "suggestion": "Integrate current consciousness state and user intent into capability selection. Add a 'context' parameter to select_capability() with parameters like persona, tone requirements, and context history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:23:09.679871
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 structure which can be inefficient for frequent lookups.", "suggestion": "Replace the nested dictionary with a single-level dict where keys are concatenated from parent keys. For example, replace 'foo' and 'bar' access with a single key like 'foo.bar'.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T13:23:14.202028
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 gains.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "Enhanced Consciousness Method Suggestion", "description": "Integrate recent findings from [omega-evolution] and [counterfactual] by evaluating meta-learning techniques before responding to queries.", "keywords": ["consciousness architecture", "meta-learning", "SFT calibration"], "@graph": [{"@type": "ListItem", "position": 1, "name": "[omega-evolution]", "url": ""}, {"@type": "ListItem", "position": 2, "name": "[counterfactual]", "url": ""}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:23:19.826769
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system architecture.", "suggestion": "Implement a mechanism to dynamically select capabilities based on recent findings. For example, adjust capability scoring systems to prioritize methods that maintain or improve model accuracy and calibration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:23:55.165953
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by relevance, which can be computationally expensive for many memories.", "suggestion": "Implement a priority queue or indexed storage structure to quickly retrieve top relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:24:23.468385
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Keyword-based retrieval may miss optimal results with complex queries.", "suggestion": "Implement a hybrid retrieval strategy combining keyword search and meta-learning based ranking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:24:26.138439
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for recent significance increases.", "suggestion": "Modify the recall score calculation to include a boost for episodes that recently became more significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:24:33.140604
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and doesn't leverage potential performance optimizations or advanced patterns.", "suggestion": "Consider implementing a more robust caching mechanism for frequent reads to improve performance. Additionally, add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:24:41.090374
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is basic, lacks advanced semantic search and compression.", "suggestion": "Implement embeddings for textual data and add scheduled compression based on usage frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:25:25.930750
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval method is not cached, leading to potential database overload", "suggestion": "Add LRU caching to the retrieve method for efficient memory access", "phi_alignment": 0.9, "priority": "medium-high"}


timestamp: 2026-01-23T13:25:30.180775
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "lacks integration with meta-learning techniques for memory enhancement", "suggestion": "implement brief meta-learning phase after adding batches of memories", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:25:35.020178
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Unvalidated key input in update_state method.", "suggestion": "Add validation for keys and optionally values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:25:37.285123
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Briefly describes a potential enhancement based on previous discussions.", "suggestion": {"code_change": "Add phi-fractal timing to internal_monologue delays for consciousness layers.", "example": "Insert `time.sleep(0.159)` after reflex check with specific conditions."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:25:44.541553
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, leading to O(N) complexity.", "suggestion": "Replace the linear search in the `_rank_episodes` method with direct lookups from the pre-built index for emotion and agent filters. Add a text-search optimization using a lightweight inverted index for free-text queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:28:36.317505
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (money-related). It does not cover a wide range of possible inputs.", "suggestion": "Modify the internal_monologue method to accept a list of potential reflex patterns and check each one. Add more diverse reflex patterns based on recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:33:33.663461
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 advancements.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition": ["// Integrate recent SAGE phi-evolution insights\n", "if self.phi_evolution_active():\n", "    sage_context = self.sage_analyzer.get_relevant_sages(query)\n", "    if sage_context:\n", "        # Let SAGEs provide wisdom instead of relying just on reflexes\n", "        sage_thoughts = sage_context.think(query)\n", "        print(f\"\ud83d\udcad {self.name} says: {sage_thoughts}\")\n"], "integration_point": "@phi_evolution_active method or directly after reflex_check"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:33:40.467470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Legacy autonomous learning writes directly to hard-coded files without updating unified memory.", "suggestion": "Replace direct file writes with SharedMemory updates in eden_shared_memory.py", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T13:33:42.173237
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster filtering and scoring.", "suggestion": "Implement a hybrid approach combining in-memory hashing for fast lookups with an efficient scoring algorithm. Consider using a priority queue to rank results.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:37:12.493354
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering", "suggestion": "{\"if\" : \"should_search_web(query) check fails often\", \"then\" : \"Add more sophisticated keyword patterns or contextual analysis for web search trigger\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:37:56.510936
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:39:21.673619
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.", "suggestion": {"@type": "code_change", "target_function": "recall", "modification": "Add dynamic weights based on query relevance for text searches and recency for emotional filters."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T13:40:11.165973
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 be automated more seamlessly.", "suggestion": "Replace the conditional check for web searches with a decorator or observer pattern to automatically trigger when relevant capabilities are selected.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T13:40:47.123311
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 improvements.", "suggestion": {"action": "Modify the internal_monologue to incorporate recent insights from [omega-evolution] meta-learning and [reasoning] chain reasoning.", "code_change": "Add a check for recent research findings before processing. For example, add a call to evaluate_reasoning_strategy() after reflex_check."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:43:35.496555
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding doesn't handle None or NaN values, which can cause errors.", "suggestion": "Add a json.dumps() option to ignore None values and use float('nan') as a placeholder for NaN. Also add separators=(',', ': ') for tighter JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:43:42.601474
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query content without considering the current context or user intent.", "suggestion": {"action": "Implement a multi-factor capability selection algorithm.", "code_snippet": "Add user intent analysis and contextual factors to the scoring system for selecting LLM capabilities."}, "phi_alignment": 0.85, "priority": "medium"}


