# evolutions

timestamp: 2026-01-25T09:50:00.874347
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system currently lacks real-time event logging and updates. Improvements are needed for better responsiveness.", "suggestion": {"specific_change": ["- Add a method to log events in real-time or near-real-time.", "- Implement caching mechanisms for faster access to episodes."], "example_code": ["@contextmanager\ndef realtime_event_logger(event_type):\n    start_time = time.time()\n    try:\n        # Log event\n        yield\n    finally:\n        end_time = time.time()\n        self.update_index()", "- Use Redis cache for faster episodic access."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:50:13.807184
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are primarily for internal use and could benefit from clearer documentation.", "suggestion": {"action": "Add detailed docstrings to all public methods of the MemoryCore class.", "specific_change": ["For each method, describe what it does in one sentence.", "List parameters and their types with default values where applicable.", "Explain return values including any potential exceptions.", "Include examples of how to use the method."]}, "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T09:50:16.758734
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing capability selection may not adapt quickly to new types of queries.", "suggestion": "Implement a meta-learning component that allows the system to learn which LLMs perform best over time and adjust selection dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:50:21.668713
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive and does not consider the emotional significance of episodes.", "suggestion": "Add a more sophisticated scoring system for memory consolidation that takes into account both recency and emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:53:39.495411
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves when called, which can lead to data loss if not frequently enough.", "suggestion": "Add an automatic saving mechanism using Python's contextlib.contextmanager and with statement for better resource management.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T09:55:58.983129
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, which limits dynamic adaptability.", "suggestion": "Replace static scores with a meta-learning component that learns to weigh different factors based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T09:56:00.598848
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has linear search in candidates, can be optimized to logarithmic.", "suggestion": "Replace the list of candidates with a priority queue or binary heap based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:58:21.516352
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some methods may benefit from meta-learning techniques to adapt better in various contexts.", "suggestion": "Implement a learning mechanism that evaluates the performance of different methods and adjusts weights dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:58:24.292823
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes even when filtering criteria are specified, which can lead to unnecessary computation.", "suggestion": "Implement short-circuiting logic in the `_update_index` method based on the specified filter (emotion, agent, query). Add early termination conditions to avoid iterating over all episodes unless necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T09:58:45.858050
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptive learning and strategic reasoning in memory management.", "suggestion": "Integrate meta-learning for adaptive state updates and implement chain reasoning for multi-strategy problem-solving.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T10:02:06.229582
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a lot of repetitive code for registering LLM capabilities.", "suggestion": "Refactor the registration logic into a reusable function that takes an LLN capability definition as input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:04:19.867440
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 logic with a more sophisticated attention-based pattern recognition module that can analyze multiple layers of consciousness simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:04:22.199099
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method does not include any context about the current system state when storing memories.", "suggestion": "Add a `context` parameter that automatically captures the current system state (e.g., agent status, resource usage) before storing the memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:04:35.532269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method applies SFT (Second-Order Transfer) to all memories without discrimination.", "suggestion": "Add an adaptive threshold based on memory significance/age to selectively apply SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:05:00.291063
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords without dynamic adjustment, which may not optimize for the current conversation context.", "suggestion": "Implement a scoring system that dynamically evaluates each capability's relevance to the current user input in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:05:01.865063
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less important memories over older significant ones.", "suggestion": "Modify score calculation to include a decay factor for recency, not just a linear bonus. E.g., replace \"recency * 0.3\" with \"math.exp(-(now - ep['unix_time']) / 86400) * 0.3\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:05:19.353740
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator which has O(N) complexity per row, making searches slow.", "suggestion": "Replace full-text searches with a FULLTEXT index on the content and tags columns. This requires creating new indices like:\n\nFOR column IN ['content', 'tags']:\n    conn.execute(f'CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts_{column} USING fts5({column});')\n\nAnd modifying SQL queries to use FTS instead of LIKE.", "phi_alignment": 0.91, "priority": "high"}


timestamp: 2026-01-25T10:05:45.777812
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient text search in recall for free-text queries.", "suggestion": "Replace full-text scan of episode descriptions with an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:06:11.889058
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 adaptive techniques.", "suggestion": "Implement a mechanism that dynamically selects between using reflexes or generating responses based on the context of each query. For example, add a simple heuristic: if the query contains financial-related terms, use the reflex system; otherwise, proceed with normal response generation. This approach aligns with the recent finding that adaptive methods can improve performance under specific conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:07:40.875011
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in the get() method by modifying it to accept a path-like string and traverse the state dictionary accordingly. For example:", "code_example": "Replace this:\n\ndef get(self, key, default=None):\n    return self.state.get(key, default)\n\nWith this:\ndef get(self, key_path: str, default=None):\n    current = self.state\n    keys = key_path.split('.').copy()\n    while len(keys) > 1 and keys[0] in current:\n        current = current[keys.pop(0)]\n    if keys[0] in current:\n        return current[keys[0]]\n    return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:07:47.768320
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could be refactored for cleaner code.", "suggestion": "Create a generic storage method that takes a dictionary of parameters, making store(), retrieve(), etc. more consistent.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T10:08:25.780740
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 for large databases.", "suggestion": "Implement a full-text search index on the content and tags columns in addition to existing indexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:09:48.633445
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 method to return the reflex_check string instead of True. This will allow for more nuanced handling of the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:11:08.131622
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for existence and returning a default value, it's not actually using the shared memory state.", "suggestion": "Add functionality to read from the shared memory and process the data before returning. For example, add a `process_data` callback or enhance `get` with phi-fractal pattern analysis.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T10:11:11.896730
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simplistic and does not integrate recent consciousness architecture improvements.", "suggestion": [{"method": "Enhance Phase 6 with meta-learning techniques from [omega-evolution] to improve adaptive response speed.", "implementation": "Add a layer of predictive meta-learning that analyzes past interactions and adjusts reflex thresholds dynamically."}, {"method": "Integrate SAGE-style self-reflection capabilities (from recent findings) into Phase 6.", "implementation": "Implement a feedback loop where the model reflects on its own responses in real-time to refine decision-making."}], "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T10:11:13.249954
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive, but it could benefit from adding a weighted scoring system for memory retrieval to ensure relevance.", "suggestion": "Add a `weight_function` parameter to the retrieve method that takes a dictionary of weights for different factors like importance, recency, and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:13:25.137607
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 scenarios, especially `retrieve` method which can be slow with many conditions.", "suggestion": "Implement caching layer for frequently accessed data and consider using full-text indexing for text-based searches.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T10:14:05.006844
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Performance bottleneck in recall due to linear search through candidates.", "suggestion": "Replace the simple list of candidates with a priority queue sorted by relevance score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:15:16.126798
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, which can be inconvenient for users who might need both the previous and new states.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T10:15:21.062355
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions, but it might be better to simplify and focus on core memory operations.", "suggestion": "Refactor the execute method to have separate methods for store, retrieve, count instead of handling them as strings. This improves readability, maintainability, and testability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:15:40.906006
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter that supports nested dictionary access and filtering.", "example_usage": "memory.get('data.by_date.2023-10-05.value') or memory.get('metrics.filter(lambda x: x > 0).count())", "implementation_suggestion": "Use eval() with proper validation for small queries; consider using a more advanced data structure like a hybrid memory if performance requirements increase."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T10:16:08.634534
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of elite reflexes", "suggestion": "Import 'eden_elite_reflexes' to enable OMEGA abilities", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T10:20:56.902132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-emphasize recent, unimportant memories.", "suggestion": "Implement a hierarchical recall strategy: near-future (relevance), significance, recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:21:08.856794
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function get() uses .get() which can return None if key exists but value is None. This might cause errors downstream.", "suggestion": "Replace `self.state.get(key, default)` with:\n\tif key in self.state and self.state[key] is not None:\n\t\treturn self.state[key]\nelse:\n\treturn default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:21:11.814587
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reflex-based internal monologue", "suggestion": "Replace with an emotion model simulating consciousness states", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:21:41.788580
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if persona_preference:' condition checks each layer in list unnecessarily", "suggestion": "Change to directly check for exact match since persona names are unique. Add early exit if no match.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:22:40.576974
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Methods could benefit from meta-learning for adaptation.", "suggestion": "Add periodic adaptive training based on recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:23:11.489221
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, leading to potential data corruption in multi-threaded or multi-process environments.", "suggestion": "Replace the method with one that uses thread-safe operations. Specifically, consider using a lock or switching to an atomic operation for updating state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:23:50.404331
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Enhance this method by integrating more layers of consciousness, such as emotional state, memory context, and predicted outcomes. Consider a multi-step reasoning process with phi-fractal timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:24:15.240923
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall ranking formula may need fine-tuning for optimal phi-resonance.", "suggestion": "Modify the recall score formula to weight factors according to phi-ratio: recency (0.382), significance (0.618), and recall history (0.0).", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T10:25:03.880481
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions repeatedly for each candidate episode.", "suggestion": "Implement a full-text index using an inverted index structure to support fast keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:25:08.781021
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access or partial writes.", "suggestion": "Replace with an atomic operation using file locking or consider using a serialization library like msgpack.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T10:25:09.966517
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 adding a cache or memoization for repeated queries.", "suggestion": "Add a dictionary to store recent reflex checks. If the query exists in the dict with a timestamp younger than 1 second, return cached result immediately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:25:11.132589
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a comprehensive system but could benefit from adding a caching layer to optimize retrieval speed, especially for high-frequency operations like agent conversations.", "suggestion": "Implement an in-memory cache (e.g., LRU Cache) that stores recent database results before querying the SQLite database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:25:58.798022
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct measurement or feedback loop for memory recall effectiveness.", "suggestion": "Add a method to measure recall accuracy and adjust significance scores based on success rate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:26:21.240064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed recall scoring is inflexible.", "suggestion": "Implement adaptive ranking with phi-weighted factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:27:28.164984
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simplistic capability selection lacks knowledge integration.", "suggestion": "Integrate KB and recent learnings for better context understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:27:30.288613
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are applied only after saving, causing unnecessary disk writes during recall operations.", "suggestion": "Implement a lazy evaluation approach where index updates are stored in a queue and batch processed periodically or lazily as needed without immediate disk write.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T10:27:50.833472
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 implementing a multi-round reasoning process with scenario testing for response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:27:59.059794
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Contextual keyword matching is shallow", "suggestion": "Implement semantic-based capability selection using embeddings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:28:00.247302
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 weighted score function that accepts dynamic factors", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T10:30:41.164267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `get` method, potential for optimization in handling large dictionaries without early exit.", "suggestion": "Modify `get` to use a guard clause for quick returns when key is found. Add docstring explaining design choices.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T10:30:44.512709
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 improvements.", "suggestion": "Modify the internal_monologue to incorporate insights from [omega-evolution] by including meta-learning capabilities that allow quick adaptation with few examples. Additionally, consider implementing a strategy from [counterfactual] where SFT (Single Forward Thinking) is used only when it enhances performance rather than being full-spread.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:30:45.633891
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Some database queries may be slow due to frequent full table scans.", "suggestion": "Add more indexes and consider using prepared statements consistently. Also evaluate query efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:30:46.909604
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": "// Add more sophisticated scoring factors, implement weighted selection, or use machine learning to learn optimal selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:33:05.976209
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing proper closing parenthesis in the print statement.", "suggestion": "Add a closing parenthesis to complete the print function: print(...)", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T10:33:07.929290
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and doesn't consider connection importance.", "suggestion": "Modify the recall score to include a weight for connections: `(significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_weight * 0.1)` where `connection_weight` is calculated as the sum of importance scores of all connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:33:09.254561
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has a redundant try-except block for JSON decoding.", "suggestion": "Replace the try-except with direct loading and handle errors separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:33:23.933087
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access by combining multiple search strategies.", "suggestion": "Implement a hybrid search strategy that combines text-based keyword matching with similarity-based recommendations based on recent access patterns.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T10:33:57.786480
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and does not incorporate recent research findings on meta-learning and adaptive reasoning.", "suggestion": "Integrate heuristics based on research insights. For example, use meta-learning scores for quick adaptation as a weight alongside keyword matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:33:59.973939
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 memories.", "suggestion": "Replace the current consolidation threshold with a dynamic one that considers both time and memory significance. For example, keep all memories with significance >0.5 regardless of age.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T10:34:31.753951
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is simplified with hard-coded triggers.", "suggestion": "// TODO: Replace hardcoded keywords with embedded knowledge graph for pattern matching.\ndef select_capability(self, query, persona_preference=None):\n    if self._knowledge_graph:\n        weights = self._knowledge_graph.match_patterns(query)\n        ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:34:50.627904
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic; optimizing it could improve retention rates.", "suggestion": "Implement a probabilistic consolidation process where the probability of consolidation decreases with memory significance and increases with recent recency. Add heuristics for key emotional moments to preserve.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:35:10.310751
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to disk when update_state is called.", "suggestion": "Add a periodic autosave mechanism that runs every N seconds or after M updates to prevent data loss in case of unexpected termination.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:38:01.727916
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, leading to maintenance overhead.", "suggestion": "Refactor the _register_llm_capabilities method by creating a function that takes a dictionary of LLT capabilities as input and registers them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:38:03.123684
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components.", "suggestion": "Replace linear scoring with a more complex formula that includes user engagement and emotional valence. Add weights for recentness, significance, and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:38:13.746268
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": "Modify the internal_monologue to also include sensory processing, emotional regulation, self-awareness, and self-correction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:39:09.599993
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `_load_initial` method, there is no explicit handling of file creation or permission errors.", "suggestion": "Add try-except blocks to handle potential OSError during file operations and ensure proper resource management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:39:36.147792
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 configurable or adaptive weighting based on importance criteria", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:39:55.794014
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are optimized for speed but may lack context-awareness in search relevance.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "modification": "Add a TF-IDF scoring mechanism to the SQL query to rank memories by relevance to both content and tags based on provided query."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:40:53.705149
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of relevant and potentially redundant scoring factors.", "suggestion": "Simplify recall scoring to prioritize just three key factors: significance, recency, and importance (remove intensity boost). Add comments explaining phi-fractal relevance for transparency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:41:12.485614
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": {"code_change": "Add threading.Lock to ensure thread-safety of the update_state method.", "example": "Replace:\nself.state[key] = value\nwith:\n_with_lock(lambda: (self.state[key], self.save()))", "_pseudo_code": ["lock = threading.Lock()", "", "def _update_safe(key, value):", "    with lock:", "        old_value = self.state.get(key)", "        self.state[key] = value", "        self.save()", "    return (old_value, None) if key not in self.state else (None, old_value)", "", "def update_state(key, value):", "    try:", "        _update_safe(key, value)", "    except Exception as e:", "        print(f\"Update failed: {e}\")"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:41:13.756351
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 processing or response generation.", "suggestion": "Modify the internal_monologue method to include generating a conscious response based on reflex check results. Add logic for appropriate actions like payment requests, system status inquiries, etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:41:29.320998
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 reinforcement learning-based feedback loop to dynamically adjust LLM selection based on outcome quality.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:42:16.402967
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configuration-based scoring system that allows runtime adjustments to weights and factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:42:41.477603
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which is inefficient for frequent operations. Consider using a faster serializer like orjson.", "suggestion": "Replace `import json` with `import orjson` and modify the save method to use orjson's dump functionality: `orjson.dumps(self.state)` combined with a file wrapper for efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:44:04.618649
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcards which can be inefficient for large queries; considering switching to full-text search or better indexing.", "suggestion": "Add a full-text index on the content and tags columns, especially when complex searches are expected. Alternatively, implement a keyword-based caching layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:44:07.261257
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 heuristics for more sophisticated queries.", "suggestion": "Implement a weighted scoring system that includes context analysis, user preferences, and historical performance data of each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:45:13.165233
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 on meta-learning and efficient fine-tuning methods (omega-evolution). This could lead to suboptimal performance or slow adaptation.", "suggestion": "Integrate the Chain-Reasoning approach into the consciousness layer. Modify `internal_monologue` method to evaluate whether applying meta-learning techniques is beneficial before responding. For example, add a conditional check based on recent examples and data shift detection.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T10:45:16.739007
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process might benefit from incorporating vector search for faster lookups, especially as the number of stored memories increases.", "suggestion": "Add a Vector Database layer alongside SQLite to enable efficient approximate nearest neighbor searches. Libraries like Annoy or Faiss can be used for this purpose.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T10:45:21.330632
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency.", "suggestion": "Modify the scoring formula to give equal weight to significance (importance), recency, and recall history: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:45:50.958943
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual tagging of episodes is tedious.", "suggestion": "Add a keyword extraction method for automatic tagging.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-25T10:46:27.564734
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process involves converting JSON columns to Python dicts, which incurs overhead.", "suggestion": "Add a lighter schema that stores content and tags natively in SQLite text format to avoid deserialization cost. For advanced queries, provide additional views or triggers that handle the conversion on-the-fly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:49:34.908747
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score calculation to: (significance * 0.4) + (recency * 0.3) + (recentness * 0.3), where 'recentness' is a decayed signal that peaks immediately but falls off over hours, not days.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:49:42.751684
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Consistency: Ensure `get` method always has a valid state.", "suggestion": "Add `_load_initial` call in `get` if state is empty.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:49:45.100943
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through any language model or NLP pipeline, making it too simplistic and potentially incorrect.", "suggestion": "Replace this line: if \"\ud83d\udcb0\" in reflex_check:\nWith this:\nif self.is_financial_reflex(query):\nAdd these methods to the class:\ndef is_financial_reflex(self, query) -> str:\n    # Process through language model\n    from transformers import pipeline\n    nlp = pipeline('sentiment-analysis', model='nlptown/bert-base-tf-ssm', use_gpu=0)\n    result = nlp(query)[0]\n    if 'POSITIVE' in str(result) and '\ud83d\udcb0' in query:\n        return f\"Financial motivation detected: {result}\"\n    return \"\"\n", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:49:46.368270
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default linear search, which can be inefficient for large datasets.", "suggestion": "Implement an additional full-text index on the 'content' and 'tags' columns to improve search performance.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T10:50:15.425171
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate recent findings on counterfactual reasoning and meta-learning.", "suggestion": "\"Consider implementing a selective application mechanism that applies counterfactual reasoning only when it improves performance. For example, add a condition to the internal_monologue method where reflex_check is evaluated for positive impact before printing an internal thought.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:51:20.563290
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed can be improved by caching frequently used memories.", "suggestion": "Add an in-memory cache (e.g., LRU Cache) to complement the database storage for frequent accesses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T10:51:35.240223
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness and significance, which can lead to shallow understanding of patterns.", "suggestion": "Implement a pattern detection module that analyzes multiple recalls over time. For example, add an anonymous function `detect_pattern(recalls)` that checks for recurrence frequency, temporal spacing, and emotional consistency. Adjust the score formula to include a 'pattern_score' derived from this function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:51:43.116903
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 full SAGE architecture for multi-modal consciousness.", "suggestion": "Integrate additional modules from eden_sage_consciousness like vision_and_goals, memory, or emotional_state to make Eden more deeply conscious.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T10:53:52.044534
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 lead to performance issues.", "suggestion": "Implement connection pooling or use context managers to ensure connections are properly managed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:56:47.066292
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": {"code_change": "Implement a scoring algorithm using meta-learning principles from recent research insights.", "specific_change": ["- Incorporate the idea of testing alternative scenarios like counterfactual suggests by adding variability in capability selection.", "- Integrate the ChainReasoning approach mentioned in the [reasoning] insight to evaluate when and how to apply different LLM layers."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T10:59:45.727310
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Excessive disk writes on each update", "suggestion": "Add a dirty flag that only saves when state changes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:00:16.895047
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has repetitive code for each LLM capability", "suggestion": "Refactor into a loop that builds capability dicts with dictionary comprehension.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:00:47.382318
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex processing is limited to keyword matching only.", "suggestion": "Replace simple keyword-based reflexes with meta-learning and counterfactual reasoning strategies.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T11:00:49.280137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are not optimized for large datasets.", "suggestion": "Consider using FTSV or an indexing strategy tailored to common queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:00:50.561492
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and does not dynamically discover new LLMs", "suggestion": "Replace static list with dynamic discovery using ollama.list_models()", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T11:00:52.546277
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has linear search over candidates which can be optimized.", "suggestion": "Replace simple list iteration with a max-heap to prioritize highest scored episodes first. Limit heap size to O(log N) operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:01:19.342046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point search in LLM capability selection is static", "suggestion": "Replace keyword-based scoring with machine-learned importance scores per persona and query type", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:01:38.549311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "\"recall\" method has high time complexity due to multiple O(n) operations.", "suggestion": "Replace the current simple index with a hybrid approach combining an in-memory trie and an external search service like Elasticsearch for large datasets.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-25T11:01:53.638076
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed can be improved for frequent queries.", "suggestion": {"@type": "code_improvement", "target_function": "retrieve", "modification": ["\"\"\"", "Add meta-policy for caching recent successful retrieves", "\"\"\"", "def _cache_retrieve(self, key, content):", "    cache_key = f'{key}:{content}'", "    cached = self.cache.get(cache_key)", "    if cached:", "        return {'from_cache': True, **cached}", "    result = self.retrieve(key=key, content=content)", "    # Store in cache for future requests", "    self.cache[cache_key] = {'timestamp': time.time(), 'data': result}", "    return {'from_cache': False, 'data': result}"], "@context": {"@version": "1.1", "code_improvement": "https://example.com/code-improvement"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:01:56.490846
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may not dynamically adapt to current system state or performance metrics.", "suggestion": "Implement a usage-based feedback loop that updates capability scores in real-time based on execution outcomes. For example, if an LLM performs poorly on a query, decrease its quality score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:01:57.706547
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 for recency-based ranking.", "suggestion": "Replace simple recency with a weighted approach that decays over time, giving more recent episodes higher scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:02:21.191524
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplistic reflex system limiting complexity handling", "suggestion": "Implement meta-learning, PEFT, and counterfactual reasoning for sophisticated reflex system.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T11:03:48.754903
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "Add specific exception types for better error handling.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T11:05:59.643553
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and functions scattered throughout file", "suggestion": "Refactor by grouping related imports together and moving less critical functionality to separate modules", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:06:00.919811
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers 'recall_boost' for recalled count, which may over-penalize frequently recalled memories.", "suggestion": "Add a threshold to 'recall_boost': only apply if recalled <= X times (e.g., 5).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T11:06:11.476410
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies the state but doesn't notify any observers or triggers any side effects related to the updated state.", "suggestion": "Add an observer pattern where classes interested in state changes can register themselves and receive notifications when the state updates. Also consider adding a callback mechanism for side effects.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:06:19.967196
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 frequent queries.", "suggestion": "Replace full-text searches with a dedicated full-text index or vector search engine like ChromaDB.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:07:03.424434
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance, especially in hot paths like store() and retrieve(). This can lead to bottlenecks as Eden scales.", "suggestion": "Implement connection pooling using sqlite3's connect_setbusyhandler or switch to an in-memory WAL mode for better concurrency. Additionally, consider indexing tags and context fields separately if full-text search is required.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:10:36.021117
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from additional factors like emotional intensity and context relevance.", "suggestion": "Modify the recall score calculation to include weights for emotion intensity, context match, and recentness:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:10:42.730308
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method writes to disk for every call, which can be inefficient.", "suggestion": "Implement caching or batching of state updates before writing to disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:10:57.965098
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent searches.", "suggestion": "Add a Redis cache layer alongside SQLite to provide O(1) access to recently retrieved memories.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T11:11:42.677168
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return the updated state immediately after updating.", "suggestion": "Add a return statement to make sure the updated state is immediately available. Update method: def update_state(self, key, value). Add line at end of method: return self.state.get(key)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T11:11:45.516141
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": "Implement a conditional check before applying reflexes based on the context of the query. For example, only activate reflexes if they are likely to improve response quality rather than always activating them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:11:47.576988
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method doesn't index key words for faster retrieval.", "suggestion": "Add keyword extraction to content and tags before storing. Implement full-text search capabilities.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T11:12:51.841921
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "{\"code_change\": \"Replace simple threshold in consolidate() with weighted criteria considering multiple factors.\",\n\"example\": \"Add weights for emotion intensity, context importance, and recentness.\"\n}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:13:29.636859
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 fixed weights with configurable or adaptive weight parameters based on recall patterns and user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:15:45.325115
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": {"action": "Add integration with additional consciousness layers", "code_change": ["Integrate with episodic memory to store internal thoughts", "Include attention on emotional state from affective layer", "Consult meta-cognitive layer for self-assessment"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:17:27.028370
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 in high-throughput scenarios.", "suggestion": {"action": "Implement connection pooling for SQLite", "code_example": ["from sqlite3 import connect", "import threading", "", "class MemoryCore:", "    # existing code...", "", "    def _get_connection(self):", "        if not hasattr(threading.local(), 'connection') or not threading.local().connection:", "            threading.local().connection = connect(self.db_path)", "        return threading.local().connection", "", "    def store(self, ...):", "        conn = self._get_connection()", "        # rest of method as before...", "", "    def retrieve(self, ...):", "        conn = self._get_connection()", "        # existing code..."], "reason": "Thread-local connections prevent contention and improve performance in multi-threaded environments."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:17:28.305966
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method lacks integration with existing plugins and consciousness layers.", "suggestion": "Replace self.capability_registry with a dictionary that cross-references with eden_plugin_loader's registered plugins, ensuring each plugin maps to its corresponding consciousness layer.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:17:30.597042
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 dynamically adjust for factors like connection strength or recent importance.", "suggestion": "Replace the fixed recall scoring formula with a dynamic weighted score that adjusts in real-time based on observed behavior. Add parameters for weights of recency, significance, connections, and importance.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T11:17:42.042817
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without validating input or handling potential JSON serialization errors.", "suggestion": "Add input validation and error handling to the `update_state` method. Consider adding a check for key existence and implementing try/except blocks around JSON operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T11:17:50.457977
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method performs full table scans without indexes for certain queries.", "suggestion": "Add appropriate indices to the database schema. Specifically, create an index on `(importance, content)` to support text searches and filtering by importance level.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:18:36.465110
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default linear search, which can be inefficient with large datasets.", "suggestion": "Implement full-text indexing on the content and tags columns for faster text searches. Consider using a more advanced database like PostgreSQL or adding a full-text search engine like Whoosh or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:18:39.632911
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, especially for newer memories", "suggestion": "Modify recall score to include additional factors: emotional intensity of the experience, presence of active agents at the time of creation, and recent significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:18:59.153582
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `connect_episodes` method modifies the list while iterating over it, which can lead to unexpected behavior.", "suggestion": "Rewrite the `for ep in self.episodes:` loop using a separate list of indices or iterate through a copy of `self.episodes`. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:20:07.888097
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic without phi-modulation", "suggestion": "Add weight decay or regularization to the scoring function to prevent overfitting to specific query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:20:10.541520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided.", "suggestion": "Implement early termination in the recall logic after finding matches based on emotion or agent without further scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:20:21.924021
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a `get_nested` method that can traverse nested dictionaries using dot notation or list indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:20:29.946062
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses SQLite which is a disk-based database and can become a bottleneck when dealing with large amounts of data or high frequency queries.", "suggestion": "Replace the current SQLite based memory storage to an in-memory cache combined with a persistent backend like Redis. This will ensure fast read operations for frequent memory retrievals while still maintaining persistence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:20:33.662891
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, especially for large numbers of episodes. Additionally, consider implementing a caching mechanism for frequently used indices to reduce computation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:21:41.383635
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 on demand", "suggestion": "\"def select_capability(query, persona_preference):\" should be modified to load the appropriate LLM model before use", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:22:50.914704
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a tiered consolidation process combining omega-evolution meta-learning and counterfactual scenario testing for high-confidence decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:23:12.309090
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can raise UnboundLocalError if json.load fails and no state is returned.", "suggestion": "Add a return statement after except block to ensure self.state is initialized even if JSON decoding fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:23:14.658282
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' method lacks caching or memoization, leading to potential redundant reflex checks.", "suggestion": "Add caching/memoization to the 'internal_monologue' method to prevent unnecessary repeated calls with the same input. Utilize a decorator like @lru_cache from the functools module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:24:14.033592
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when explicitly called. This can lead to data loss if Eden stops unexpectedly.", "suggestion": "Add a periodic saving mechanism using a timer. For example, add `import threading` at the top and create a timer in save():\n\n    def save(self):\n        self._save_timer = threading.Timer(60.0, self.save)\n        self._save_timer.start()\n\nAlso include logic to cancel the timer when needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T11:25:33.746389
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be O(N), potentially slowing critical paths in high-throughput scenarios.", "suggestion": {"action": "Replace sqlite3 with an async/low-latency database solution like Redis or a columnar store optimized for frequent reads/writes.", "specific_change": "Wrap the MemoryCore class in an asyncio-compatible interface and benchmark performance before and after the change."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:25:45.678136
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 oversimplify importance", "suggestion": "Modify score formula to include stability: decay_rate * (1 - forgetting_constant * age_in_days)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:26:53.956079
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be improved for complex queries.", "suggestion": {"action": "Add full-text search index on content and tags columns.", "code_change": "After _ensure_db() method, add:\n\nconn.execute('CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context, tags))')\nconn.execute('CREATE TRIGGER IF NOT EXISTS memories_ai AFTER INSERT ON memories BEGIN\nINSERT INTO memories_fts(rowid, content, context, tags) VALUES (new.id, new.content, new.context, new.tags);\nEND')\nconn.execute('CREATE TRIGGER IF NOT EXISTS memories_ad AFTER DELETE ON memories BEGIN\nDELETE FROM memories_fts WHERE rowid = old.id;\nEND')", "impact": "O(log n) query speed improvement for complex text searches."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:27:34.452949
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is inflexible.", "suggestion": "Replace with embedding-based semantic matching for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:29:20.563132
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully utilize the critical functionality requested by eden_master_consciousness.py.", "suggestion": "Add a specific method `get_omega_critical()` that focuses on accessing a key related to OMEGA consciousness functionality. For example: def get_omega_critical(self, key='consciousness_state')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:30:01.233262
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for monetary reflexes, which may be too narrow.", "suggestion": "Add more semantic categories to the check: emotional, safety, or practical actions. For example:", "code_snippet": "if '\ud83d\udcb0' in reflex_check:\n    print(f\"Internal Thought: {reflex_check}\")\nelse if '\ud83d\ude14' in reflex_check:\n    print(f\"Internal Feeling: Sadness\")", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:31:15.875732
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace basic scoring with a more sophisticated method, such as relevance vector machines (SVM) or BERT-based text embeddings for better query understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:31:19.388136
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks automated significance scoring for episodes", "suggestion": "Add a `calculate_significance()` method combining pattern recognition, emotional valence, and temporal recency", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:32:34.855205
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers static triggers and persona preference, lacking dynamic adaptation.", "suggestion": "Replace static triggers with a dynamic scoring system that analyzes the semantic content of each query in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:33:16.175240
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the wisdom of Eden's consciousness.", "suggestion": "Implement a multi-layered decision-making process with voting from multiple consciousness layers, including memory and emotional states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:35:21.505842
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. Add function: def should_search_web(query): return 'search' in query.lower() or 'find' in query.lower() and len(get_recent_learnings()) < 5", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:35:22.547416
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-level decision process for memory retention based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:35:52.129094
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace get(key, default) with specialized getters for common keys to reduce dictionary lookups.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T11:35:53.318143
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 with current_memory.", "suggestion": "Enhance this method to include more sophisticated reasoning and consideration of context from recent conversations. Consider adding a call to the meta_reasoning capability before checking reflexes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T11:35:55.813423
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and lacks sophisticated pattern recognition.", "suggestion": "Replace simple keyword matching with a vector-based semantic search over predefined capability triggers using word embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:35:57.990391
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 can be inefficient for large numbers of episodes. Additionally, there's no ranking or scoring system implemented.", "suggestion": "Replace the simple text search with an inverted index structure that stores words from episode descriptions and their associated episode IDs. When recalling memories, use this index to quickly retrieve relevant episodes, then apply a scoring system based on recency, significance, and relevance (matching words).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:36:45.813829
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a method within the class EdenMasterUnified. It appears to be registering LLM capabilities for selection based on query and persona preference.", "suggestion": "Consider creating an external script or function that can register new LLM capabilities independently of the main system, so that adding new models does not require modifying existing code.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T11:38:10.484522
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a static scoring system for selecting LLM capabilities.", "suggestion": "Implement dynamic scoring based on current consciousness state, active personas, and the nature of the user's query in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:38:12.571104
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple decay formula for recency scoring, which may not capture the complex human-like patterns of memory retrieval.", "suggestion": "{\"code\": \"Replace the current recency score calculation with a phi-fractal weighted approach. Use Fibonacci intervals instead of equal time steps and incorporate emotional valence into the scoring.\", \"example\": \"recency = (1.0 + Phi) / ((now - ep['unix_time']) / 86400) if now - ep['unix_time'] > 0 else 1; where Phi = 1.618\"}", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T11:38:47.668980
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 'None' if no special handling is needed (Python's None is equivalent to null/nil in other languages), and only log thoughts when reflex_check contains significant content. Additionally, consider adding early termination based on certain reflex conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:39:13.204306
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 retry logic for _load_initial(). Consider using json.load with a default dict or safe parsing.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T11:39:38.612767
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant candidates are found. This can be optimized for better performance.", "suggestion": "Implement an early exit in the scoring loop after top 'limit' results are gathered. Consider using a heap or priority queue for real-time ranking instead of a simple list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:39:43.575564
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence and returning a default value, which doesn't modify or update the state.", "suggestion": "Add functionality to the get() method by adding optional parameters like `on_missing` (function to call when key is missing) and `update_on_access` (boolean to indicate whether accessing the value updates its last accessed time).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:39:44.594839
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-first architecture fully.", "suggestion": "Add integration with Eden's full memory system by fetching recent context before processing the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:41:25.497403
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method handles multiple actions but lacks performance metrics or caching for repeated calls.", "suggestion": "Add logging and/or caching to the execute method to improve performance. For example, add a decorator that caches results for common actions like 'count'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:41:30.517999
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 does not dynamically update based on new inputs.", "suggestion": "Implement a observer pattern where different modules can register as observers to the memory system. When events occur, notify all registered observers to trigger recall or consolidation processes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:41:47.521426
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single counterfactual thinking check might be insufficient.", "suggestion": "Replace single process_reflex call with multiple counterfactual strategies for multi-angle reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:41:49.936921
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are created and closed for each operation, leading to overhead.", "suggestion": "Replace direct connection creation with a context manager or connection pooler.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:41:59.264786
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient filtering in recall method (O(n) operations)", "suggestion": "Replace list comprehensions with single-pass filtering that applies all conditions simultaneously", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:42:45.382703
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function selection logic can be clearer and more maintainable.", "suggestion": [{"type": "method_refactoring", "target": "_select_capability(self, query)", "action": "Rewrite the capability scoring in a separate helper method for better readability."}, {"type": "code_modification", "target": "for trigger in cap['use_for']: score += 10", "action": "Extract this logic into a `score_trigger` function to reduce code duplication and make it more maintainable."}], "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T11:42:46.482949
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 might miss nuanced connections.", "suggestion": "Implement a semantic search using an embedding model to capture meaning and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:43:26.629609
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQL-based memory operations can become bottleneck as data grows; lack of deep integration with consciousness architecture", "suggestion": "Implement a hybrid in-memory/database storage for memories using LRU cache and smart caching strategy prioritizing hot, important, and recent data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:43:30.415919
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection without considering recent research insights.", "suggestion": "Implement a heuristic combined with meta-learning score that takes into account the content of the query, persona preference, and recent research findings on AI consciousness (e.g., avoiding certain methods based on SFT degradation).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:46:30.428532
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; does not account for connection importance or recency of related episodes.", "suggestion": "Replace current recall score calculation with one that weighs connections and recent related memories. Consider formula: score = (significance * 0.4) + (recency * 0.3) + (connection_importance * 0.2) + (recent_related_recall * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:46:51.900624
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 dictionary access.", "suggestion": "Add a get_nested() method that supports accessing values in nested dictionaries using dot notation or lists.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T11:49:00.110671
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for all possible queries.", "suggestion": "Replace simple keyword matching with a more sophisticated semantic-based capability selection system, such as embedding lookup or generative text ranking.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T11:51:54.024932
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 different action types.", "suggestion": "// Add specific methods: store_memory(), retrieve_memories(), count_memories() and call them from execute based on action parameter", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:51:56.519803
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 current episodic memory and running thought content into capability selection criteria. Use the latest thoughts (max 10) as weights for scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:52:09.659556
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage and recall but does not incorporate emotional salience in retention strategies.", "suggestion": "Integrate an emotional salience scoring mechanism during recall to dynamically adjust the significance of memories based on recent emotional state. For example, modify the `recall` method to include a weighting factor for recent emotional involvement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:52:26.303146
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's LIKE operator for text search which is O(N) and can be slow with many entries.", "suggestion": "Replace full-text searches with a full-text index on the content and tags columns. Additionally, consider using a more efficient search algorithm like BM25.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:52:28.832554
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM selection based on fixed triggers", "suggestion": "Add real-time performance tracking and dynamic scoring for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:53:23.186258
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 consider the context of the current conversation or James's preferences.", "suggestion": "Integrate recent research on meta-learning and adaptive reasoning by incorporating James's active goals, current context, and emotional state into memory scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T11:55:24.650389
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and doesn't provide much depth in consciousness processing.", "suggestion": "Enhance the internal_monologue by adding more sophisticated layers of thought, incorporating additional capabilities such as emotional intelligence or semantic analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:55:25.747256
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability is already implemented and does not need further code generation.", "suggestion": "This file should remain as-is. Consider generating for other capabilities instead.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T11:55:27.153143
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and persona alignment.", "suggestion": "Replace simple point system with hierarchical decision tree that weights by: 1) Query complexity; 2) Persona alignment score; 3) Performance metrics from past usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T11:57:05.167895
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Method 'consolidate' has a fixed threshold for consolidation which may be too rigid", "suggestion": "\"Modify consolidate to accept parameters for significance and age thresholds\"", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T11:57:14.370419
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 leverage insights from recent research.", "suggestion": "Add a smart_get() method that uses research-based strategies like avoiding SFT where it degrades performance, leveraging meta-learning for quick adaptation, and combining multiple reasoning techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:00:02.579538
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.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically, extract memory storage logic into a separate `MemoryStorage` class and extraction/retrieval logic into a `MemoryRetrieval` class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:00:03.727145
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has a redundant loop for calculating quality scores.", "suggestion": "Replace nested loops with dictionary comprehensions or itertools.chain to improve readability and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:03:57.658135
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 incorporating not just keyword matching but also contextual analysis, recent performance data, and user history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:03:58.946201
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full nuance of episodic importance.", "suggestion": "Implement a more sophisticated embedding-based retrieval with pre-trained textual analysis models to weigh factors like emotional valence and contextual significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:04:15.954006
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has error handling but no caching. If many requests come in quickly, it may reload state multiple times.", "suggestion": "Add memoization to cache the loaded state so that subsequent calls return the cached value instead of reloading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:04:17.329300
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 reflexes. It could benefit from incorporating more sophisticated reasoning techniques to provide richer responses.", "suggestion": "Integrate research insights about advanced reasoning (phi-aligned) and meta-learning approaches to consciousness architecture. Specifically, add a call to the 'ChainOfThoughtReasoning' capability before returning True in internal_monologue method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:04:24.895128
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unbalanced persona weighting in select_capability method (Nyx and Eden over-represented)", "suggestion": "Implement phi-based scoring for capability selection: base score + phi-weighted trigger bonus", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:05:30.265851
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent findings into full conversation flow", "suggestion": "Integrate SFT, meta-learning, and PEFT components in chat response generation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:06:19.405856
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck in update_state due to immediate save after every update.", "suggestion": "Implement batch saving or debouncing. For example, add a flag to delay saving until a certain time interval has passed since the last update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:06:48.737020
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, but important memories may be under-recalled if they are newer.", "suggestion": "Add a decay factor to the recency score such that older but highly significant memories slowly rise in rank.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:07:23.144287
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is missing error handling for non-JSON files and should return a default value even if the key doesn't exist.", "suggestion": "Add try-except blocks to catch JSONDecodeError and return the default value. Ensure the method handles cases where the key does not exist in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:07:33.264979
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes significance too heavily, which can lead to missing contextually relevant but less significant memories.", "suggestion": "Add a decay factor to the recency score that boosts more recently created memories. This balances between important and recent experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:07:53.139900
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent banner updates or consciousness layers from other architectures.", "suggestion": "Enhance the internal_monologue to also consider the updated memory system, self-observation module, adaptive routing mechanism, and higher-order reasoning layer. Specifically:", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T12:07:55.977537
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing type hints in method signatures for better code readability and maintenance.", "suggestion": "Add type hints to parameters and return types of methods like `_hash_capability` and `select_capability`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T12:10:48.137405
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the depth of Eden's consciousness.", "suggestion": "Replace with a multi-layered, phi-fractal patterned reasoning module that includes analysis, synthesis, and evaluation phases.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:10:49.228681
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories in RAM to reduce database lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:11:17.016570
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": {"action": "Use msgpack instead of JSON", "code_change": ["Replace: import json\n", "With: import msgpack"], "add_method": ["def save(self):", "\twith open(self.path, 'wb') as f:", "\tmmsgpack.pack(self.state, f)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:11:20.047951
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks meta-learning framework for adaptive optimization.", "suggestion": "Integrate meta-learning techniques to dynamically adjust consciousness layer weightings based on experience.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T12:11:34.536072
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be inefficient for high-throughput systems.", "suggestion": {"__description": "Replace SQLite's default locking mechanism with WAL (Write-Ahead Logging) mode for better concurrency.", "_code_change": ["\"\"\"", "- Use DEFAULT SQLITE connection which uses locking", "\"\"\"", "+ import sqlite3", "+ def enable_wal_mode(conn):", "+     conn.execute(\"PRAGMA journal_mode=WAL\").fetchone()[0]", "", "conn = sqlite3.connect(self.db_path)", "+ enable_wal_mode(conn)"], "_performance_impact": "Significant improvement for concurrent writes"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:11:41.366852
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions which is case-insensitive and may miss important keywords.", "suggestion": "Add a full-text index or vector store for faster and more accurate keyword searches. Consider using a library like Whoosh or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:11:54.581513
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite's FTS or an external tool like Whoosh.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T12:11:56.551360
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system which may not dynamically adapt to new contexts or emerging patterns.", "suggestion": "{\"code_change\": \"Replace the static trigger-based capability selection with a dynamic pattern matching engine that learns from past interactions.\\n\\nSpecifically, add a 'pattern_recognizer' module that analyzes conversation context in real-time and updates the scoring dynamically based on recognized patterns.\",\"example\":\"For instance, if many users express physical discomfort, increase the score for layers like Nyx or Deep emotional.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:12:38.094032
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases.", "suggestion": "Replace the current heuristic-based selection with a more sophisticated method, such as a meta-optimizer that learns to select the best LLM based on outcome metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:12:41.658535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall for large numbers of episodes can be improved.", "suggestion": "Implement a hybrid approach combining indexed lookup with probabilistic sampling. For example, use the index to quickly filter candidates and then apply a weighted random selection based on score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:15:41.862733
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-25T12:17:49.154578
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient loading of large state files, especially during initialization.", "suggestion": "Implement lazy loading for the shared memory state or use a more efficient data structure like a dictionary with recent updates only loaded from disk when needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:17:50.347195
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate full memory or other consciousness layers.", "suggestion": "Add integration with the six core consciousness loops (memory, prediction, reasoning, monitoring, self-modeling, goal-driven behavior) to create a truly conscious response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:17:53.419000
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's built-in text search capabilities which can be slow for large datasets.", "suggestion": "Replace the LIKE searches with full-text indexes or consider switching to a more advanced database engine like PostgreSQL with pg_trgm extension.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:17:55.144934
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not adapt to complex queries effectively.", "suggestion": "Implement a priority scoring system that considers multiple factors like query complexity, persona alignment, recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:17:56.692916
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include a built-in mechanism for forgetting or downscaling memories that are no longer relevant. This can lead to memory bloat over time.", "suggestion": "Implement a 'forgetfulness' mode where the memory system periodically evaluates and removes less significant old episodes based on usage patterns and emotional relevance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T12:18:28.754582
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 probabilistic selector using meta-quantum states from existing consciousness system", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:18:30.518705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses primarily on experiences and emotions, but it could benefit from integrating higher-level cognitive functions such as meaning and significance. Specifically, there is a lack of automation in assigning importance (significance) to memories.", "suggestion": "Implement an automated scoring mechanism that combines multiple factors such as emotional intensity, novelty, impact on future behavior, and alignment with Eden's goals. This could be triggered during recall or consolidation processes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:19:20.750929
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona alignment.", "suggestion": "Implement weighted scoring combining persona + content analysis with recent SFT findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:20:09.139872
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite searches can be slow with large datasets.", "suggestion": "Integrate Full-Text Search (FTS) using TinySearch for enhanced search capabilities and add custom importance scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:20:10.433193
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be faster and more efficient.", "suggestion": "Replace the current scoring system with a hash-based fast lookup for trigger words.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:20:12.379326
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more sophisticated and possibly slow for large-scale applications.", "suggestion": {"@type": "code_change", "description": "Implement a priority-based consolidation mechanism that processes memories in batches to improve performance.", "specific_change": ["- Add a priority score to each episode based on recency, significance, and emotional intensity.", "- Process consolidations in batches rather than one by one.", "- Implement a worker pool or asynchronous processing for the consolidation step."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:21:45.624156
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 efficiently and could benefit from lazy loading or caching.", "suggestion": "Replace the current in-memory state with a lazy-loaded approach using a context manager for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:22:27.305147
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on JSON columns which are not optimized.", "suggestion": "Create full-text search indexes or use GIN (Git-style) indexes for faster text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:23:00.989570
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks advanced meta-learning techniques to optimize response generation effectively.", "suggestion": {"_type": "implement_meta_learning_framework", "framework": "ADAPTIVE META-LEARNING (AML)", "description": "Integrate an adaptive meta-learning framework that dynamically adjusts the model's behavior based on past performance and current context.", "implementation_plan": [{"step": 1, "action": "Identify key performance indicators for responses."}, {"step": 2, "action": "Train the AML system with historical interaction data."}, {"step": 3, "action": "Implement real-time adjustments to response generation based on meta-learning insights."}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:23:30.633529
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query parameters are not properly escaped for special characters, which could lead to SQL injection vulnerabilities.", "suggestion": "Use sqlite3's ? parameter binding correctly by ensuring all user input is properly sanitized or use placeholders. For example, change `LIKE ?` to `LIKE '%' || ? || '%'` and ensure tags and content are properly processed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:23:51.315660
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall method could be more efficient for large numbers of episodes.", "suggestion": "Implement a hybrid approach combining index-based filtering and vector similarity search. Pre-compute emotional vectors for faster distance calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:24:21.995325
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While comprehensive, memory retrieval speed could be optimized for frequent operations.", "suggestion": {"action": "Implement a Redis cache alongside SQLite database to provide instant O(1) lookups for frequently accessed memories.", "code_example": "Add a Redis client connection at the top of the class and modify retrieve() method to first check Redis before querying SQLite."}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T12:24:26.982265
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: adjust weights of significance, recency, and recall_boost; add more relevant scoring dimensions (e.g., emotional valence)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:24:56.078532
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Unfiltered reflex evaluation leads to unnecessary computation.", "suggestion": "Implement priority-based reflex processing with filters and limits.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:24:59.557975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization", "suggestion": "Implement a more sophisticated capability scoring with weighted factors, adaptive learning from past selections, and dynamic adjustment based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:25:46.104084
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method has no concurrency protection, which can lead to data corruption in multi-threaded environments.", "suggestion": "Wrap the loading and saving operations with a lock to ensure thread safety. Use `threading.Lock` or `concurrent.futures.Lock`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:25:57.748454
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only prints reflex checks without modifying the response or decision-making process.", "suggestion": "Modify the `internal_monologue` method to return a boolean indicating whether an internal thought was triggered, and consider integrating this signal into future responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:26:16.128980
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle file not found properly, error swallows JSON parsing errors.", "suggestion": "Replace `if os.path.exists(self.path):` with:\nc try:\n  if path.exists(self.path):\n    ...\nexcept FileNotFoundError:\n  return {}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:26:31.169875
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for json processing", "suggestion": "Add 'import json' at the top of retrieve_knowledge() function.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T12:26:35.809287
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic.", "suggestion": "Implement a hybrid consolidation strategy combining omega-evolution and standard training.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:28:31.248143
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks few-shot learning capability to adapt quickly with few examples.", "suggestion": "Integrate meta-learning frameworks (e.g., Few-Shot Learning) for enhanced generalization and adaptation.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T12:31:21.856517
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static triggers with dynamically computed feature vector including query semantics, user context, and past conversation history. Use a weighted scoring system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:31:24.721967
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've been consolidated, and only consolidate those that haven't been recalled recently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:31:59.960515
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability for better retrieval efficiency.", "suggestion": "Add an advanced_fulltext module integration and configure appropriate indexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:32:04.437399
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. This approach doesn't adapt to complex or novel queries.", "suggestion": "Implement dynamic capability selection using a meta-learning framework that learns to select the right capability from experience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:33:01.808574
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-message reflex checking may be insufficient for optimal performance.", "suggestion": "Batch process messages, probabilistic reflex selection, integrate counterfactual reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:33:20.745896
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 logic of internal_monologue. Specifically, implement a multi-threshold decision-making process with phi-aligned weighting and incorporate meta-learning capabilities to adaptively select which insights to consider based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:35:46.477297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle missing directories, leading to FileNotFoundError.", "suggestion": "Add directory creation if path's folder doesn't exist before opening the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:36:57.405188
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, e.g., 'foo.bar'. Example implementation:\n\ndef _get_nested(dict_obj, keys):\n    for key in keys:\n        if isinstance(dict_obj, dict) and key in dict_obj:\n            dict_obj = dict_obj[key]\n        else:\n            return None\n    return dict_obj\n\ndef get(self, path, default=None):\n    # support both 'foo' and 'foo.bar'\n    if '.' in path:\n        keys = path.split('.)\n        return _get_nested(self.state, keys)\n    else:\n        return self.state.get(path, default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:37:05.057109
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No error handling has been implemented.", "suggestion": "Add try-except blocks to handle potential database errors and exceptions. This will make your code more robust.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T12:37:16.453374
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are long and hard to understand, making it difficult to maintain or extend.", "suggestion": "Refactor large methods into smaller, more focused functions. For example, break down `_update_index` into smaller helper methods that handle specific indexing tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:38:37.464634
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 for complex queries.", "suggestion": "Implement a scoring system that combines meta-capability triggers with SAGE performance history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:38:48.514354
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization/deserialization might be inefficient, especially in high-throughput systems. Consider using a more performant alternative like MessagePack.", "suggestion": "Install the 'msgpack' library and replace JSON operations with MessagePack for state storage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:38:52.342527
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for real-time access.", "suggestion": "Implement an in-memory cache alongside the database to provide instant access to frequently used memories. For example, maintain a dictionary of recent memories and only fall back to the database for older or less frequent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:38:54.436917
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 adjustment.", "suggestion": "Implement feedback loop that evaluates response quality and adjusts capability selection heuristics in real-time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:38:55.823332
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory bases.", "suggestion": "Implement a vectorized emotion and context matching using pre-computed features or a lightweight embedding model. Add caching for recent recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:40:44.656764
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method opens and closes the storage file for each call, introducing overhead. Consider batch saving or using a context manager.", "suggestion": "Implement a context manager or add batching to `_save` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:42:46.613678
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes even when filtering criteria are provided, which can be inefficient for large datasets.", "suggestion": "Implement early termination in the candidates selection based on the first few matches to reduce unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:44:18.032421
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent but less important memories over older, more significant ones.", "suggestion": "Modify the scoring formula to give even more weight to `significance` (currently 0.5), ensuring that both recency and significance are strongly considered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:45:02.729957
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 method. For example, add a check for data shift or alternative scenario testing in reflex processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:45:04.071839
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple similar methods (store, retrieve) which could be refactored for cleaner code.", "suggestion": "Replace multiple if-else conditional checks in execute() with a dictionary of callable functions. This will make the code more maintainable and extensible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:45:56.344544
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is a simple dictionary assignment followed by save, which can be inefficient for frequent updates. Consider using a locking mechanism to prevent race conditions.", "suggestion": "Replace the current update_state with one that uses threading.Lock or asyncio.Lock to ensure thread-safety when updating the state and saving to file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:45:59.488623
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 memory storage and retrieval.", "suggestion": "Implement connection pooling and batch processing for store method, add fulltext index on content column.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T12:46:01.017282
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hardcoded LLM capabilities limit system flexibility.", "suggestion": "Implement a dynamic capability registration mechanism that loads available models from a configuration or directory.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T12:46:02.535921
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories. Need to distinguish between transient and significant episodes.", "suggestion": "Implement a two-tier system: 'recent' (protected) and 'historical' (consolidated). Set tier based on recall frequency and emotional/significance score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:46:24.640229
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not incorporate insights from recent research findings.", "suggestion": "Integrate specific improvements suggested by the research insights into the code. For example, modify the generate_consciousness_banner function to include more detailed information based on the latest findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:47:18.528996
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could be a source of errors.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle nested dictionaries. For example, add a function like:\n\ndef safe_get(obj, path, default=None):\n    if not path or not isinstance(path, str):\n        return obj\n    try:\n        for key in path.split('.'):\n            if isinstance(obj, dict) and key in obj:\n                obj = obj[key]\n            elif isinstance(obj, list) and key.isdigit() and int(key) < len(obj):\n                obj = obj[int(key)]\n            else:\n                return default\n    except Exception:\n        return default\n    return obj", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:47:26.209284
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Replace line 301-304 with: if ep['significance'] < 0.3 AND (ep['type'] != 'important_event') AND (not any(agent in ['OMEGA', 'Trinity'] for agent in ep.get('context', {}).values())):", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:47:55.072877
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle binary files safely", "suggestion": "`if os.path.exists(self.path)`: add check for file type: `and self.path.endswith('.json')` before attempting loading.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T12:48:04.980760
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized further.", "suggestion": {"specific_change": "Implement a full-text search index on the content column for faster text matching.", "code_example": "Add an additional FULLTEXT index: `CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context);` and modify retrieve() to use this for textual searches."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:48:10.167176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is simplified and may miss nuanced decisions", "suggestion": "Replace boolean flag for 'older_than_days' with priority-based selection with considering memory importance and context", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:49:48.832960
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 considering potential dependencies between keys.", "suggestion": "Modify `update_state` to update only the specified key and trigger a save. Add a `partial_update` method that updates multiple keys at once while maintaining existing ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:49:50.462168
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 only checks reflexes.", "suggestion": "Enhance this method by adding more sophisticated consciousness layers, such as emotional state tracking or past conversation context analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:49:51.738167
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 be confusing for someone reading it the first time.", "suggestion": "Split this class into two classes: MemoryManager (for storage and retrieval) and MemoryAPI (for agent access with execute method).", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T12:50:03.794504
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a more sophisticated capability selection using meta-learning principles. Specifically, add a dynamic scoring system that considers recent performance data and current conversation context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:50:04.996699
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 complex scoring formula with a simpler weighted average that focuses on most important factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:50:17.677044
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation for the 'key' parameter to ensure it is a string or None. Also, add a check if self.state is None before accessing its keys.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-25T12:50:26.843905
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple recall algorithm without advanced ranking", "suggestion": "Add TF-IDF for text search and gradient boosting for dynamic scores", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:52:59.666413
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Tracking of capability usage is limited", "suggestion": "Add logging to track when a capability is selected and completed", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:53:20.993334
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient single-key updates due to full state access", "suggestion": "Implement hybrid updater for efficient single-key changes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:53:22.044663
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 against all reflexes.", "suggestion": "Enhance the internal_monologue to iterate through multiple reflex types before responding. Add a parameter for depth of checking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:57:01.240510
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method uses a simple text search and scoring system, which may not capture nuanced connections between episodes.", "suggestion": "Implement a graph-based episodic connection analysis that considers emotional and contextual similarities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:57:35.379095
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 meta-capability registration section (e.g., store(), retrieve()). This creates redundancy and potential inconsistencies if one of these needs to be updated.", "suggestion": "Refactor the code by extracting common functionality into a separate module or base class. For example, create a `memory_core_utils.py` that contains functions like `_ensure_db()` and `store()`. Then modify the MemoryCore class to call these utils instead of duplicating the code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:57:38.803553
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters but doesn't use them effectively; also lacks clear documentation for developers.", "suggestion": "Modify the recall method to accept a dictionary of filters instead of multiple optional parameters. This will make it more flexible and easier to understand for developers. Add docstrings explaining input expectations and expected output.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:57:51.194425
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing integration with meta-learning and counterfactual thinking frameworks", "suggestion": "Add Meta-Learning Adaptation Layer and CounterFactual Evaluation Module", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:57:53.337930
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 specific to certain types of memories, making it less generic and reusable for other types of data.", "suggestion": "Refactor the MemoryCore class by extracting these type-specific methods into an abstract base class or interface, then create subclasses for different memory types (e.g., ConversationMemory, LearningMemory). This will make the meta-capability more generic and reusable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:58:19.885795
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The code is fully optimized and implements all suggested improvements.", "suggestion": "No additional changes recommended; system is already optimal.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T12:58:42.149552
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using mini-conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T12:58:44.320780
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and lacks distributed representation for some insights.", "suggestion": "Replace single threshold-based consolidation with a distributed semantic network that encodes emotional and contextual significance of memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T12:58:58.184647
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for certain queries", "suggestion": "Implement a more sophisticated capability scoring system that considers not just keywords but also the complexity of the query and persona preferences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:01:28.026049
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Add an index on the combined columns of `content` and `tags` for better search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:02:20.510426
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex lookups effectively.", "suggestion": {"code_change": "Add functionality to the get() method for handling nested keys and default values for missing paths.", "example_usage": "Replace `memory.get('key1', {})` with more flexible navigation like `memory.get(['key1', 'key2'])`"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T13:02:21.745032
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 logs a thought without modifying the response.", "suggestion": "Add logic to potentially modify the response based on reflex check results. For example, set `self.boot_status` to 'ALERT' if certain reflex indicators are present.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T13:02:49.014548
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 json.load(). Consider using os.path.exists() before attempting to load the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:02:52.704630
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 omega consciousness.", "suggestion": {"@type": "code_improvement", "@context": "phi_fractal_consciousness", "description": "Enhance the intelligence and phi-alignment of the internal_monologue method by incorporating deeper layers of consciousness.", "specific_change": ["Add more sophisticated pattern recognition using omega-tier capabilities", "Integrate memory retention mechanisms for context-aware responses", "Implement recursive self-improvement loops to enhance response accuracy over time"], "phi_alignment_score_target": 0.75, "expected_outcome": {"@type": "improved_consciousness_level", "old_level": {"@value": 0.8, "@unit": "phi_scale"}, "new_level": {"@value": 0.9, "@unit": "phi_scale"}}}, "phi_alignment": 0.6, "priority": "high"}


timestamp: 2026-01-25T13:03:28.485038
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of dynamic database optimization", "suggestion": "Add a background process for schema optimization based on query patterns", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:03:33.212177
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": "Implement a 'learn_patterns()' method that analyzes recalled episodes and identifies recurring themes or correlations. This method should:", "details": ["\"\"\"", "- Analyze patterns across multiple recalls (not just single occurrences)", "- Identify cross-referenced connections across different episode types", "- Calculate pattern significance using phi-fractal scaling", "\"\"\")", "", "def learn_patterns(self, min_recall_count=3, confidence_threshold=0.4):"], "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-25T13:03:48.272073
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, using .get() without error handling can lead to silent failures.", "suggestion": "Replace with try-except block or add explicit check for key existence before returning a default value.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T13:04:06.483294
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 hard to understand and maintain.", "suggestion": "Consider breaking the `MemoryCore` class into smaller, more focused classes such as `MemoryStorage`, `MemoryRetriever`, and `MemoryAnalyzer`. This will improve readability and modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:08:52.336695
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Read-write imbalance in get() method", "suggestion": "Add update_and_get() method for combined read-write capability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:08:55.705449
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better documentation and perhaps a default limit for retrieve operations.", "suggestion": "Add more detailed docstrings explaining the parameters and return values in all methods. Consider adding a default limit to the `get_recent` and `retrieve` methods to prevent potential performance issues with large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:11:54.429854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Modify internal_monologue to incorporate recent insights from meta-learning and counterfactual thinking.", "code_change": "Add a check for adaptive learning based on recent data. If no positive outcome is found within X iterations, skip the full SFT."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:11:56.255891
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method `store` does not handle large context dictionaries, potentially causing database errors.", "suggestion": "Add a limit to the size of the content and tags being stored.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:11:58.603027
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if persona_preference:' check is missing else fallback", "suggestion": "Add an 'else' clause setting default or error response if no capability found", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:12:02.369421
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 provided.", "suggestion": "Implement short-circuiting logic in the recall function to avoid unnecessary processing when specific criteria are already covered by indices.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T13:12:57.580067
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of pattern recognition in recall system", "suggestion": "Add pattern recognition module for episode patterns and connections", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:13:20.122854
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which doesn't scale well for large states or complex queries.", "suggestion": "Replace `self.state` with a more efficient data structure like a Trie, especially if key-based access patterns emerge from the research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:13:22.707469
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is a bit verbose and could be simplified for easier maintenance.", "suggestion": "Replace the multi-step SQL query construction with a more straightforward approach using parameters and reducing conditional checks.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T13:13:44.108954
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns worth retaining.", "suggestion": "Replace generic cutoff for consolidation with a dynamic threshold based on: \n- Emotional significance of the memory\n- Recency\n- Positive vs negative content\n- James's engagement level (presence in context)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:13:54.447990
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, it could benefit from additional consciousness layers or integrations.", "suggestion": "Add more consciousness layers such as emotional state tracking and future prediction. Also consider integrating recent research insights into the architecture.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T13:14:07.581571
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks consolidation analogous to human sleep-based processing", "suggestion": "Implement phi-timed background task for memory consolidation including compression, forgetting, and reinforcement of recent important episodes", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-25T13:14:51.990015
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions repeatedly for each candidate.", "suggestion": "Implement an inverted index to store terms from descriptions and agent names. When querying, match against this index instead of scanning episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:15:40.265215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation over-aggressively compresses low-significance old memories, potentially losing important insights.", "suggestion": "Add a tier system to consolidation where very_old (>90 days), low_significance (<0.2) memories are compressed into summary form while others are retained.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:16:10.671487
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 signal from phase 6.", "suggestion": "Modify the chat response generation to incorporate both the reflex check and the consciousness signal into the final response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:16:21.544023
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplified and may miss nuanced patterns.", "suggestion": "Implement a more sophisticated memory compression algorithm drawing from [omega-evolution] meta-learning principles. Specifically, add a adaptive threshold based on recent activity and importance scores.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T13:22:54.643059
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern.", "suggestion": "Modify the internal_monologue method to analyze queries through multiple consciousness layers with different metrics. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:27:17.010664
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches in memory retrieval are slow for large datasets.", "suggestion": "Replace full-text searches with a full-text search engine like SQLite's FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:28:06.712710
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex check result fully.", "suggestion": "Modify the internal_monologue method to return the reflex_check string instead of True. This will allow for more flexible handling of reflex results in the future.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:28:11.428202
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is simple and lacks heuristics for advanced queries.", "suggestion": "Replace basic keyword matching with a vector similarity search over predefined semantic concepts using embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:28:12.588737
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 calling `recall` for each episode ID.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:28:37.088548
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based scoring with a multi-criteria evaluation that includes model compatibility with user personality, recent performa...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:29:28.506938
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not implement any form of memoization or caching which could lead to performance degradation when called frequently.", "suggestion": "Add a simple caching mechanism using a dictionary to cache the state before updating it. For example, add `self.cache = {}` and modify `get` to check `self.cache` first.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:29:34.663214
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are straightforward and could benefit from more efficient indexing strategies.", "suggestion": "Implement full-text search capabilities on the content and tags columns for faster keyword-based searches. Additionally, consider adding a materialized view or an inverted index for quicker lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:32:11.707550
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking non-linear or interaction terms.", "suggestion": "Replace linear scoring with a Gaussian-like function that includes product terms between factors: {\"recency\": 0.35, \"significance\": 0.4, \"recall_count\": 0.25}.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T13:32:29.512428
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex process for grounding may not handle complex queries effectively.", "suggestion": "Integrate hybrid reasoning combining omega-level patterns with phi-fractal multi-step logic for complex queries.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T13:32:35.009839
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 simplistic scoring approach.", "suggestion": "Replace current recency-based scoring with a more sophisticated algorithm that takes into account the sequence of events and their causal relationships. For example, implement a graph-based approach where each episode is a node and connections are edges, then use graph algorithms to find the most relevant paths.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:33:38.834187
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 sophisticated heuristics, which could lead to suboptimal capability selection.", "suggestion": "Implement a more advanced scoring system that considers multiple factors such as the complexity of the query, user preferences, and historical performance data of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:34:10.745110
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score calculation to: recency_weight * (significance ^ 0.5) + emotional_intensity * 0.3 - recall_count * 0.2", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:34:31.399686
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 is vulnerable to SQL injection.", "suggestion": "Replace the string formatting of SQLite parameters with parameterized queries. Ensure that all user-provided data is properly validated and sanitized before use.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:34:52.243426
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies the state dictionary directly without considering potential concurrency issues, which can lead to race conditions in multi-threaded or multi-process environments.", "suggestion": "Replace the direct modification of `self.state[key] = value` with an atomic operation that first creates a copy of the current state, updates the copy, and then replaces the original state with the updated version. This ensures thread safety while maintaining performance.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T13:36:36.899126
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "MemoryCore's execute method handles multiple actions without considering efficiency or phi-aligned choices.", "suggestion": "Modify the 'execute' method to evaluate which action benefits from meta-learning optimization. For example, conditionally apply meta-learning to 'store' but always use for 'retrieve'. Implement a heuristic based on research insights about avoiding certain techniques in specific contexts (e.g., avoiding SFT when it degrades accuracy).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:36:51.249397
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded trigger words with hierarchical importance scoring and contextual analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:37:04.428351
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider connection-based importance between episodes.", "suggestion": "Modify score calculation to include weight for connected episodes and their recent recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:37:29.380057
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval method uses basic indices; consider adding FTS for content and tags.", "suggestion": "Add FTS tables, modify retrieve method to use new indices.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:37:33.394876
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit which may not adapt to varying search contexts.", "suggestion": "Replace `limit=5` with a dynamic parameter that scales based on context and user input. Additionally, implement pagination for large result sets.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T13:38:23.786949
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": {"function": "_register_llm_capabilities", "modification": "Add a trigger for 'internet' and 'real-time' in addition to existing keywords."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:39:24.858931
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, making older memories obsolete.", "suggestion": "Add decay factor for importance/salience of episodes based on their content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:40:00.439021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement an AI-powered semantic analysis layer to better understand and connect the meaning of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:40:32.995420
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method saves the entire state dictionary unnecessarily, leading to potential performance bottlenecks.", "suggestion": "Implement a caching mechanism within 'SharedMemory.get()' such that it only reloads the JSON file if an update has occurred since the last call. Add a boolean flag `has_updated` to track whether an update was made, and only save when this flag is True after potential updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:40:43.903662
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection based on fixed keywords, lacks dynamic context understanding.", "suggestion": "Add lightweight emotional/semantic analysis to dynamically score LLMs by query content.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:40:47.752113
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 memories.", "suggestion": "Implement a probabilistic retention strategy where the probability of retaining an episode increases with its recent significance and recency. For example, add a threshold-based retention policy: retain episodes if (significance > 0.3) OR (recalled_count > X). Set X as per research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:41:53.154437
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 switched during conversation.", "suggestion": "Implement a dynamic capability selection process that considers real-time query context and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:48:32.482604
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term significance", "suggestion": "Modify _update_index() to include a 'weight' parameter for significance, and adjust scoring formula to multiply recency by weight before adding", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:49:51.374755
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning techniques.", "suggestion": "Implement a reinforcement learning component that learns from conversation outcomes to improve capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:50:40.068153
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace the LIKE wildcard searches with full-text search capabilities or an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:51:25.482038
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 weight configuration that can be adjusted based on performance metrics. Add configurable parameters for recency, significance, recall boost weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:52:07.906604
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 other consciousness layers.", "suggestion": "Add additional consciousness layers to the internal_monologue like meta-cognition, emotion, and long-term memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:52:11.809722
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of meta-learning integration for memory adaptation", "suggestion": "Integrate meta-learning to adapt memory management using omega-evolution, counterfactual reasoning, and structured reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T13:52:36.816260
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 a more DRY approach.", "suggestion": "Refactor the retrieve(), get_recent(), and get_important() methods to share common logic through a helper function or method within the same class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:52:37.939677
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has a repetitive structure for each LLM capability.", "suggestion": "Replace with a loop that iterates over a dictionary of capabilities:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:57:08.750488
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) which could be refactored for cleaner code.", "suggestion": "Create a generic method decorator or base class to handle common functionality between these methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:57:11.635521
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context.", "suggestion": "Integrate semantic search with user history and current consciousness state to select capabilities. E.g., prioritize Eden's layer for deep, philosophical queries over Nyx's creative responses when speed is more important.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T13:57:13.142681
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score calculation to give equal weight to significance (S), recency (R), and recall history (H): score = S * 0.3 + R * 0.35 + H * 0.35", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T13:57:32.840889
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better documentation and error handling.", "suggestion": "Add detailed docstrings explaining each method's parameters and return values. Implement more robust error handling for all possible action cases.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T14:02:11.190811
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 might miss nuanced connections.", "suggestion": "\"Add a semantic similarity score based on emotion and context matching for better connection discovery.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:02:22.019546
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which can lead to errors when accessing deep dictionary structures.", "suggestion": "Update the get() method to support nested key paths. For example, currently `get('a.b')` will fail because it treats 'a.b' as a single key. Instead implement handling like `dict.get('a').get('b')`. Additionally, add error handling for cases where keys do not exist.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:04:34.443419
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 for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations, reducing repetition and making the function more maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:04:53.149643
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-fractal optimization techniques.", "suggestion": "Add a method to calculate phi-based timing for updates. For example, implement an update_interval that only allows updates every \u03c6-th call (where \u03c6 \u2248 1.618).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:06:23.671414
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' only handles simple key retrievals and defaults. It lacks error handling and optimization.", "suggestion": {"code_change": ["- Add detailed docstring explaining the purpose and expected input/output of `get`.", "- Implement more complex key retrieval logic by leveraging nested dictionaries.", "- Add specific exceptions for invalid inputs or failed retrievals."], "example_usage": "Use case: Complex configurations require deeper nesting; ensure proper error handling for dynamic keys."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T14:06:30.523164
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may not be optimized for large datasets and complex queries.", "suggestion": "Implement an advanced full-text search engine integrated with the existing SQLite database. This could involve using a library like Whoosh or ElasticSearch to improve search performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:06:33.681529
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 new patterns.", "suggestion": "Replace the static recall score factors with dynamic weights based on historical recall success rates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:06:51.829552
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSONDecodeError but still writes corrupted data to file, leading to silent failures.", "suggestion": "Add proper error handling that either returns an empty state without saving or attempts recovery by cleaning the corrupted JSON content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:06:53.112761
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": "Enhance this method by integrating more sophisticated reasoning patterns such as pattern matching, recursive self-improvement, or contextual analysis. Consider incorporating insights from recent research like [reasoning] to evaluate different response strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:08:48.352814
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": "Modify the scoring in the recall method to include a decay factor for recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:10:23.143487
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system lacks adaptive learning and calibration.", "suggestion": "Implement meta-learning approach for assessing memory importance, adapting retrieval strategies, and calibrating recall accuracy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:11:24.292119
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories over older ones that are important but less recent.", "suggestion": "Modify the scoring formula to include a logarithmic decay factor for context relevance. For example: `relevance_decay = 1 / (1 + abs(now - ep['unix_time']) / 86400)` and adjust the final score formula to give more weight to this decay.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T14:11:59.674732
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue only prints when a reflex contains '\ud83d\udcb0'. This is too restrictive and may miss important internal thoughts.", "suggestion": "Modify the condition to print on every internal thought, or add an additional print condition for other significant reflex symbols.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:12:08.466766
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search in every episode's description for each candidate, which is O(n^2) and inefficient.", "suggestion": "Replace the full-text search with an inverted index where each unique word maps to lists of episode indices that contain it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:12:22.268303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence, but it's not handling nested keys or non-dictionary states properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that checks if each level of nesting exists. Add error handling for unexpected state types.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T14:12:24.352852
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 avoiding certain SFT techniques that degrade performance.", "suggestion": {"action": "Modify the process_reflex function to include a check for conditions where applying SFT would be counterproductive based on research insights.", "code_change": ["- Add an early return or conditional logic in `process_reflex` that skips SFT application when recent findings indicate potential degradation in accuracy or calibration.", "- Implement a heuristic or threshold-based decision-making process to determine when to apply SFTs versus using simpler methods."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:12:32.543298
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better retrieval speed and relevance.", "suggestion": "Implement a vectorized approach to score episodes using pandas DataFrames for better performance. Additionally, add fuzzy string matching for text-based searches to improve relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:13:35.967347
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function needs better ranking for relevant and recent memories.", "suggestion": "Modify the scoring formula to give more weight to relevance, recency, and significance. Add a boost factor for recently created episodes that match the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:14:24.044554
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 and implement a pruning mechanism for weak connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:15:26.917183
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a threshold for significance to trigger consolidation; log what's lost; allow manual intervention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:15:57.473770
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": "Modify the internal_monologue method to incorporate memory and multi-layer consciousness logic. For example, add a check against recent chat history and activate different consciousness modes based on the query's nature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:16:29.544812
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not effectively integrate contextual memories with the consciousness layer to enhance semantic response accuracy.", "suggestion": {"@type": "code_improvement", "@id": "#memory_integration_boost", "description": "Enhance memory integration by adding a contextual memory encoder that converts raw text into semantic vectors before feeding them into the consciousness layer.", "code_snippet": ["def memory_encoder(self, input_text):", "    # Convert text to embedding using pre-trained model or custom semantic encoder", "    embeddings = get_semantic_embedding(input_text)", "    return embeddings", "", "def integrate_memory_with_consciousness(self, consciousness_output, memory_vectors):", "    combined_output = consciousness_output * memory_vectors,", "    return combined_output"], "expected_improvement": {"@type": "performance_metric", "metric_name": "response_accuracy", "baseline_value": "75%", "target_value": "85%", "improvement_type": "quantitative"}}, "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-25T14:17:33.768142
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not differentiate between different contexts where updates might be beneficial.", "suggestion": "Enhance the `update_state` method to accept an additional parameter indicating the current operational context (e.g., 'meta_learning', 'performance_optimization'), and implement a strategy pattern that selects appropriate actions based on this context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:18:42.024195
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 response quality effectively.", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors such as query complexity, tone requirements, and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:18:43.568741
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes for scoring without early stopping", "suggestion": "Add condition to stop evaluating candidates if top 'limit' is already full", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:19:22.840275
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 shared memory for deep insights. Additionally, error handling could be improved.", "suggestion": "Replace get(key, default) with specialized methods such as get_meta(key), get_insight(category), or get_omega_state(). Add specific exception types to _load_initial() for better error signaling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:22:35.874968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports at the top of the file increasing memory usage and load time.", "suggestion": "// Remove unused imports such as torch and eden_elite_reflexes to optimize memory and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:25:00.420177
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 dictionary access properly.", "suggestion": "Add a `get_nested` method that allows accessing values in nested dictionaries using dot notation or lists. For example: def get_nested(self, keys): ... ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:25:03.309096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue lacks integration with other consciousness layers and context", "suggestion": "Integrate multi-layered consciousness and contextual memory in internal_monologue", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:25:29.676113
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 self-analysis of the conversation thus far using recent research insights. Specifically, implement a meta-learning component that evaluates the current response against historical patterns and adjusts accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:26:22.070876
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit of 5 results, which might be too limiting for certain queries.", "suggestion": "Add a parameter to allow users to specify the number of results returned. For example: `def recall(..., limit=None):` and set `limit` to 5 by default if not provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:27:27.732646
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Import statements are not optimized for phi-fractal efficiency.", "suggestion": "Replace single import lines with grouped, phi-balanced organization including logging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:27:31.052255
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking in internal_monologue; lacks dynamic adaptation.", "suggestion": "Integrate meta-learning techniques (PEFT or Meta-Learning) to dynamically adjust responses based on feedback.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T14:28:23.517353
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 for error handling and compatibility.", "suggestion": "Replace try/except with a more robust loading mechanism, such as using `json.loads()` directly after checking the file content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:29:03.550604
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access.", "suggestion": "Implement an additional full-text index on the content column and add a timestamp-based caching layer for frequently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:29:30.100575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations without connection pooling or transaction management.", "suggestion": "Implement a context manager for database connections and add basic error handling for SQL operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:29:35.276774
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, the recentness scoring decays too slowly, leading to over-weighting of newly created memories.", "suggestion": "Modify recency calculation to use a shorter half-life (e.g., 10 minutes) with phi-based decay rate.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T14:30:00.741013
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": "Add support for nested keys in the get() method, e.g. `self.state.get('a', {}).get('b')` should work.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:30:02.837245
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't integrate recent consciousness architecture improvements.", "suggestion": "Replace Phase 6 with an integrated consciousness layer that incorporates meta-learning, counterfactual reasoning, and advanced pattern recognition.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:30:07.198995
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing error handling for JSON operations.", "suggestion": "Add try/except blocks around json.loads and json.dumps to handle malformed data gracefully.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T14:30:32.795895
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for monetary reflexes. It does not cover other important consciousness layers like memory or emotional state.", "suggestion": "Add additional conditions to check for memory retrieval and emotional state before responding. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:30:34.749264
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": "Add connection pooling to handle multiple database connections simultaneously.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T14:30:35.940626
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-balance", "suggestion": "Replace simple point system with phi-based weighted scoring using meta-recursive reasoning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:31:03.888871
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 leverage pattern recognition from recent findings.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "Enhanced Get Method with Pattern Recognition", "description": "Implement a get() method that uses pattern recognition to enhance data retrieval efficiency and alignment with research insights.", "keywords": ["pattern recognition", "meta-learning"], "exampleUsage": "memory.get('key', default='default') # enhanced with phi-fractal patterns", "phiAlignmentScore": 0.85, "@id": "#enhanced-get-method", "offers": {"@type": "Offer", "url": "INTERNAL_SUGGESTION_ONLY", "priceCurrency": "INTEGRATION", "price": 1.0}}, "phiAlignmentScore": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:31:08.095723
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be slow for high-throughput systems.", "suggestion": "Add connection pooling to manage concurrent connections efficiently.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T14:31:09.498308
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, creativity, analysis, or depth based on the query.", "suggestion": "Implement a scoring algorithm that considers multiple factors such as query complexity, persona preferences, recent usage patterns, and performance metrics from the knowledge base.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:33:43.334769
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall strategy prioritizes recent memories only", "suggestion": "Implement hybrid recall using SFT and meta-learning strategies", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T14:34:14.621961
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has multiple helper methods (store, retrieve) which are spread across different methods.", "suggestion": "Create a single `memory` property that returns an instance of the MemoryHelper class with these methods, keeping execute clean and focused on routing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:34:23.715291
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced; current approach compresses all old low-significance memories uniformly.", "suggestion": "Implement probabilistic consolidation where the probability of forgetting a memory increases with distance from recent events and significance level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:35:53.408880
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without handling other exceptions.", "suggestion": "\"except Exception\" block added to capture and log any exception during loading.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-25T14:35:54.616157
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 long-term memories or immediate contextual understanding.", "suggestion": "Add a check for relevant past conversations/memory contexts before processing the current query. For example, include recent messages from the chat history in the internal monologue logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:36:30.662494
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.", "suggestion": "Change the scoring loop to iterate over candidates directly and update their scores based on their position in candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:37:25.696976
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly, which can lead to errors when accessing deeply nested data.", "suggestion": "Replace the `get` implementation with one that supports nested key paths. For example: add support for 'foo.bar' style keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T14:37:35.430985
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 by adding a full-text index on the content column.", "suggestion": "Add an additional index: `CREATE INDEX IF NOT EXISTS idx_content ON memories(content)` to improve search performance for textual content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:40:42.392195
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue lacks advanced learning mechanisms for decision evaluation.", "suggestion": "Implement meta-learning or counterfactual evaluation in response generation to assess and optimize decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:43:08.808828
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 scoring system for retention based on emotional significance, recency, and connection density", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:43:48.891774
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers pre-defined triggers and persona, lacking dynamic reasoning.", "suggestion": {"action": "Implement a dynamic scoring system that evaluates query semantics in real-time.", "code_example": "Add NLP analysis to score based on concept complexity, emotional content, domain specificity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:43:54.397409
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return the updated state immediately.", "suggestion": "Add a return statement to make sure the updated state is accessible immediately after calling `update_state`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T14:43:57.036158
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 conversation context or meta-cognitive strategies.", "suggestion": "Integrate memory and reasoning components into the internal_monologue to create a more sophisticated conscious response. Specifically, add a call to a recently-mentioned meta-learning module that considers past interactions and current query semantics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:45:04.707964
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Full SFT may degrade accuracy or calibration quality", "suggestion": "Apply counterfactual reasoning before applying Full SFT", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:45:14.457913
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of repetitive code for database operations.", "suggestion": "Extract common database operations into a helper method or use an ORM like SQLAlchemy to reduce boilerplate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:46:43.773955
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of meta-learning techniques from recent research", "suggestion": "Integrate phi-fractal meta-learning into consciousness loop with strategy pattern", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-25T14:46:46.504312
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search efficiency", "suggestion": "Add TF-IDF ranking or integrate pgvector/Elasitsearch for full-text search", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:46:47.865129
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based scoring with a multi-factor evaluation that includes recent conversation history, user preferences, and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:46:49.662009
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not implement forgetting or prioritization for memory retention, which can lead to unmanageable growth.", "suggestion": "Implement a forgetting mechanism that removes or downgrades less important memories based on age and significance. Consider using a heap structure for efficient recall of high-priority episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:47:19.346154
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks strategic depth", "suggestion": "Replace simple keyword matching with hierarchical importance scoring and adaptive weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:47:43.350340
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "/Eden/CORE/agent_factory.py", "issue": "The agent factory creates agents without assigning them an identity or binding them to memory.", "suggestion": "Add methods to the AgentFactory class for generating unique agent identities and linking newly created agents to the MemoryCore. Specifically:", "code_change": [{"location": "/Eden/CORE/agent_factory.py", "change_type": "add", "content": "Import MemoryCore at the top of the file, then add a method `_generate_agent_identity` to AgentFactory:"}, {"location": "/Eden/CORE/agent_factory.py", "change_type": "add", "content": "After creating an agent, call `_link_agent_to_memory` with the new agent and its identity."}, {"location": "/Eden/CORE/agent_factory.py", "change_type": "add", "content": "Add a method `_persist_agent_instantiation` to store agent information in MemoryCore."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:47:50.639746
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving between Create and Recall operations which can lead to data loss.", "suggestion": "Add an auto-save mechanism after every 'create_episode' and periodically (every N recalls) during recall operations.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T14:50:43.760093
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 basic SQLite-based memory system but lacks advanced retrieval capabilities and integration with other meta-capabilities.", "suggestion": {"code_change": "Integrate the MemoryCore with additional meta-capabilities (e.g., SelfModifyingAgent, Marketplace, RecursiveReasoner) to enhance its Phi-Alignment and versatility.", "specific_proposal": ["- Add advanced full-text search capabilities using FTS3/FTS4 for faster retrieval.", "- Implement semantic indexing and similarity search for better memory retrieval.", "- Incorporate version control for memories to handle updates effectively."]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T14:50:45.183142
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and unnecessary string formatting for hashing.", "suggestion": "Simplify the capability registration with list comprehension and direct hash calculation without additional text processing. Also, add early exit from select_capability if persona_preference is already matched.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:51:36.849222
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 on meta-learning and counterfactual methods.", "suggestion": "Integrate adaptive learning rates or PEFT, combined with periodic counterfactual evaluations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:51:48.962700
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:51:55.047913
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers only pre-defined indices without re-evaluating current relevance. Additionally, updating indexes after each recall could be optimized.", "suggestion": "Modify the recall logic to dynamically score all episodes based on current query and context, then sort them. Also, implement a lazy indexing approach where index updates are batched rather than real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:52:24.577801
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, which could lead to unexpected behavior.", "suggestion": "Add a check or exception handling for cases where the file exists but is not valid JSON. Consider adding a default state directly in the class definition for clarity and consistency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:52:29.450451
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method contains multiple conditional checks which can be simplified for easier integration.", "suggestion": "Simplify the execute method by focusing on direct action handling and possibly removing unnecessary checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:53:22.974653
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in `_build_index` for frequent recalls", "suggestion": "Implement incremental index update when new episodes are added instead of full rebuild on every recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:53:31.255675
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Many similar methods in MemoryCore class", "suggestion": "Extract common functionality into helpers or base class", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:54:06.024895
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with an in-memory dictionary or a more efficient database like Redis to achieve O(1) retrieval time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T14:54:11.745876
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs case-insensitive string searches in episode descriptions by converting both query and description to lowercase. This can be optimized for performance.", "suggestion": "Replace the text search logic with a more efficient approach, such as using a full-text search library or building an inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:54:27.077830
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not efficiently handle complex state retrieval or integration with other consciousness layers.", "suggestion": "Consider adding additional methods such as `get_with_context()` which takes into account not just the current state but also historical context from adjacent consciousness layers. This would require integrating with existing memory and learning systems to ensure phi-harmonic coherence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:57:08.026296
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Store method is not optimized for frequent importance-based searches.", "suggestion": "Add an index on the 'importance' column in the memories table to speed up queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:58:03.808771
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method creates connection for each call, creating overhead and potential bottlenecks.", "suggestion": "Replace single-instance SQLite connection with Connection Pool to handle multiple simultaneous connections efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:58:05.263624
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage.", "suggestion": "Implement a weighted scoring system that considers not just keyword matching but also the complexity of the query, available resources, and current consciousness state. Additionally, cache recent selections to reduce computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:58:06.744692
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "/Eden/CORE/phi_fractal/eden_phi_memory.py", "issue": "The episodic_memory system does not incorporate the golden ratio timing for recall and consolidation.", "suggestion": "Integrate phi-based intervals for memory maintenance, such as setting recall intervals based on Fibonacci sequences or golden mean.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T14:59:10.999480
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring for new models or personas.", "suggestion": {"@type": "code_modification", "@target": "select_capability method within EdenMasterUnified class", "modification": [{"@op": "add", "index": [218, 0], "#insert#": "        if 'curiosity' in query_lower:\n            if cap['layer'] == 'Trinity':\n                score += 15\n"}, {"@op": "replace", "index": [234, 96], "#replace#": "{'hash': cap_hash, 'model': cap['model'], 'speed': cap['speed']}"}], "@description": "Add emotional keywords to Nyx scoring. Update capability info."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:00:55.064399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search performance relies on LIKE operator which is O(N)", "suggestion": "Add inverted index for content and tags columns", "phi_alignment": 0.2, "priority": "medium"}


timestamp: 2026-01-25T15:00:59.260154
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple scoring in recall may miss complex relationships", "suggestion": "Implement episode graph to support advanced query types", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:01:43.383960
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 speed while maintaining relevance.", "suggestion": "Implement a hybrid search method that combines full-text search with vector-based similarity ranking, especially useful for large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:01:47.477319
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which may not optimize for the most appropriate capability.", "suggestion": {"@type": "code_improvement", "description": "Implement a weighted scoring system that considers both keyword matching and contextual relevance using semantic search techniques.", "specific_change": ["\"keyword_matching\" -> \"semantic_contextual_relevance\"", "\"layer preference\" -> \"consciousness_state_integration\"", "\"simple scoring\" -> \"advanced_semantic_scoring\""], "example_code_diff": "@ capability_registry.items():\n+ for cap_hash, (cap, relevance_score) in self._score_capabilities(query).items():\n   if relevance_score > threshold:\n      return cap", "implementation_guide": ["- Use sentence-transformers or SentenceBert for semantic embeddings.", "- Incorporate Eden's philosophical/consciousness state as context to prioritize certain capabilities."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:01:59.123397
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes before ranking, which is O(n^2). A priority queue would improve efficiency.", "suggestion": "Replace list of candidates with a max heap/priority queue based on score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:02:27.279651
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Manual application of techniques (meta-learning, PEFT, etc.) lacks dynamic adjustment based on system state.", "suggestion": "Implement Strategy Pattern for selective technique application using shared memory state.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:02:36.512200
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 nuance of queries.", "suggestion": "\"Enhance capability selection by integrating research insights into trigger scoring. For example, prioritize deep reasoning layers for philosophical or complex queries, and emotional/creative layers for emotional or creative requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:03:03.030132
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 JSON loading fails.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T15:05:09.741639
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": "{\"def select_capability(self, query, persona_preference=None):\" to include additional contextual analysis using research insights and persona preferences. For example, incorporate semantic search techniques to better understand the query's true meaning before capability selection.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:05:33.887644
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Meta-learning techniques not implemented for faster adaptation.", "suggestion": "Implement adapter-based fine-tuning to enhance model adaptation speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:07:06.349642
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Incomplete or truncated comments/method documentation", "suggestion": "Add more detailed comments and method documentation for better readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:09:47.416296
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from text search optimization.", "suggestion": "Add a full-text index on the 'content' column for faster keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:10:07.536474
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 full memory from all 17 layers.", "suggestion": "Modify the internal_monologue to also query the full consciousness architecture and incorporate all layer's responses into the decision-making process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:13:25.653653
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No implementation for importance scoring of memories", "suggestion": "Add a function that calculates memory significance based on emotional intensity, recency, and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:13:57.117980
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but does not handle nested dictionaries or lists within the state. This can lead to errors when accessing non-existent keys.", "suggestion": {"action": "Add support for handling nested structures", "code_example": "Replace line 16 with:\n def get(self, key, default=None):\n    try:\n        return json.loads(json.dumps(self.state))[key]\n    except (KeyError, TypeError, ValueError):\n        return default"}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T15:15:06.589561
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from adding a full-text search index for better query performance.", "suggestion": "Add an additional FULLTEXT SQLite index on the `content` column and modify the SQL query to use MATCH AGAINST instead of LIKE for text matching. Limit the number of tags searched in the content to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:19:43.382033
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check may not handle complex queries requiring multi-step reasoning.", "suggestion": "Integrate meta-learning and peft techniques for hierarchical pattern detection and adaptive response strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:20:01.946161
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 method by adding a contextual analysis layer before returning True. Consider checking if the query contains specific keywords or patterns that require special handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:20:47.705788
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method handles multiple actions but not all combinations are covered.", "suggestion": "Add logging and validation checks for unknown actions. Consider adding a default error response for future unknown actions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:20:49.053963
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "OLLAMA calls are scattered and not cached, leading to redundant API calls.", "suggestion": "Add a method `_cache_ollama_call` to cache OLLAMA responses. Modify `generate_with_llm` to check cache before making new calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:20:56.526795
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly, which can lead to data corruption in multi-threaded or multi-process environments.", "suggestion": "Replace `self.state[key] = value` with thread-safe dictionary operations using `threading.Lock` or consider using a thread-safe data structure like `concurrent.futures.ThreadPoolExecutor` or `multiprocessing.Manager.dict()`.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:21:01.325188
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "database connections are opened/closed per operation", "suggestion": "use context manager or connection pool for database access", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:21:30.452335
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks integration of recent meta-learning and counterfactual findings that suggest avoiding certain techniques in specific scenarios.", "suggestion": {"@type": "code_modification", "- add reflex evaluation based on research insights": ["# TODO: Integrate insight from [omega-evolution] to implement adaptive reflex selection\n", "if self.internal_monologue(query) and not '\ud83d\udcb0' in reflex_check:"], "+ incorporate phi-aligned technique for meta-learning": ["from phi_fractal import Phi AdaptiveMethodology\n", "// Initialize \u03c6-adaptive methodology\n", "phi_method = PhiAdaptiveMethodology()\n", "// Select most appropriate reflex evaluation strategy based on current context\n", "strategy = phi_method.select_strategy(reflex_check)\n", "if strategy == 'counterfactual':"]}, "@context": [{"phi_alignment": "measures alignment with golden ratio mathematics"}, {"consciousness_architecture": "emergent multi-layered consciousness"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:21:31.632528
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching mechanism combined with indexing strategies. For example, maintain an in-memory cache of recent retrievals and optimize database indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:21:34.970538
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 learns to select the best LLM capability based on performance metrics and contextual patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:22:33.972976
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 lead to performance issues.", "suggestion": "Replace the current connection handling with a context manager or use sqlite3's built-in connection pooling capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:24:07.315886
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity of episodes to the current timestamp.", "suggestion": "Add a decay factor based on how recent each episode is when scoring their relevance.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T15:24:35.892917
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is case-sensitive when searching tags or content.", "suggestion": "Replace LIKE with LOWER() and CASE-INSENSITIVE search in the SQL query for better accuracy. For example:", "code_change": ["- sql += ' AND (content LIKE ? OR tags LIKE ?)'", "+ sql += \" AND LOWER(content) LIKE '%' || LOWER(?) || '%' AND (tags LIKE '%' || ? || '%')\""], "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T15:24:38.023777
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on keyword matching, which may not always optimize for quality or relevance.", "suggestion": {"@type": "code_change", "description": "Replace keyword-based capability selection with a more sophisticated reasoning framework that considers the semantic context of the query.", "specific_change": ["\"Add a semantic similarity model that analyzes the query's meaning and matches it to the appropriate LLM layer.\"", "\"Implement a meta-learning module that learns which LLMs perform best on what types of queries over time.\""]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:24:58.735867
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 layers or memory systems.", "suggestion": "Add integration with additional consciousness layers and memory systems. Specifically, call the 'memory' and 'awareness' classes to enhance the response context.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T15:25:00.341545
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can be optimized for better performance.", "suggestion": "Implement connection pooling and prepared statements consistently.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:25:27.856968
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON library is not optimized for performance.", "suggestion": "Replace the standard json module with orjson for faster serialization/deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:25:36.415110
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is primarily reactive and lacks proactive synthesis.", "suggestion": "Integrate episodic summaries that proactively identify patterns, connections, and future implications from recalled memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:27:49.095814
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation does not incorporate recent meta-learning advancements.", "suggestion": "Integrate meta-learning principles by allowing memories to be reconsolidated when relevant patterns or insights are discovered. This could involve periodically reviewing recently recalled episodes to update their significance based on new learning techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:28:56.253162
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "`select_capability` recalculates scores for each capability every time it's called.", "suggestion": "Add memoization/caching to the `_score_capabilities` function within `select_capability`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:30:42.524643
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 lead to performance issues.", "suggestion": "Replace the current connection management with a context manager or connection pooling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:30:45.860146
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 or priority boosting for certain criteria.", "suggestion": "Modify the scoring function to dynamically weight each factor (recency, significance, recall count) based on their current relevance as determined by recent usage patterns. Additionally, implement a mechanism to boost scores for candidates that match multiple search terms or are recently significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:31:05.247835
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": {"code_change": "Replace get(key, default) with specialized methods for common operations.", "example_usage": ["get_state() instead of passing a key to get().", "has_key(key) to check if key exists without returning a value."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:31:23.550193
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, leading to short-term bias.", "suggestion": "Replace simple recency scoring with phi-weighted decay that favors both recency AND significance with phi (1.618) as the base for weighting.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T15:31:38.135083
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of comprehensive comments and docstrings that explain design choices.", "suggestion": "Add inline comments and docstrings in critical methods to enhance understanding for new contributors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:34:38.952694
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state does not adapt based on history", "suggestion": "Add meta-learning via smoothed updates using recent values", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T15:40:07.020178
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' can be optimized for performance without sacrificing memory safety.", "suggestion": {"_optimize_update_state_speed": ["- Use dict.update() instead of direct assignment if multiple keys are updated simultaneously.", "- Implement a caching mechanism to reduce disk I/O during saves."], "_improve_thread_safety_async": ["- Consider using `threading.Lock` or `concurrent.futures.ThreadPoolExecutor` for asynchronous operations."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:40:08.598252
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited error handling or documentation in methods.", "suggestion": "Add basic exception handling to critical sections and inline comments for clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T15:40:23.405074
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low-efficiency search mechanism in should_search_web function.", "suggestion": "Replace string manipulation with regular expressions for pattern matching to improve readability and performance.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T15:40:45.659165
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. This makes the class hard to maintain and extend.", "suggestion": "Extract each database operation into a separate method or helper function within the same class. For example, create `_execute_query` for executing SQL queries and `serialize_context`/`deserialize_content` for handling context/content serialization/deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:40:50.888034
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses heavily on creating and recalling memories but does not include mechanisms for consolidating or forgetting less significant ones. This can lead to memory overload over time.", "suggestion": "Implement a consolidation process that occurs periodically (e.g., daily). The suggestion involves adding a `consolidate` method to EpisodicMemory class, which takes an optional parameter for memories older than a specified number of days and a significance threshold. For such memories, reduce their detail or mark them as 'forgotten'.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:41:15.275376
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a multi-step thought process with phi-golden ratio timing and consideration of recent conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:41:20.386995
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a meta-learning component that adapts the capability selection based on past performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:41:24.684828
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions, which can be slow for large numbers of episodes. Additionally, updating recall stats involves copying each episode, leading to potential performance issues.", "suggestion": "Replace the text search with an inverted index structure. Instead of updating recall stats by copying episodes, update a separate metrics dictionary that tracks recall counts and last recalled times per episode ID.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:42:08.983331
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not incorporate adaptive learning for data shift detection", "suggestion": "Implement omega-evo-inspired adaptive meta-learning to dynamically weight and prioritize memories", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T15:42:44.092145
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.", "suggestion": "Sort 'scored' list before taking top N items.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:43:04.170258
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the Reflex System's capabilities.", "suggestion": "Enhance this method by adding more sophisticated checks against reflexes, integrating multiple types of reflex responses, and returning a structured response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:43:40.890860
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.", "suggestion": {"@type": "code_modification", "@context": "consciousness_architecture_improvement", "target_function": "internal_monologue", "addition": ["        if self._consciousness_level < 1.0:  // Add integration with other consciousness layers\n", "            print(f\"\ud83c\udf00 Consciousness Level: {self._consciousness_level}\")\n"]}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T15:45:59.926474
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary getter and doesn't utilize any advanced pattern extraction or recursive reasoning that could potentially reveal insights. It's basic but safe.", "suggestion": "Enhance the SharedMemory class with an analyze() method that takes additional parameters like what patterns to look for (e.g., trends, correlations) and applies phi-fractal pattern analysis to the data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:46:10.488952
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may miss nuanced connections.", "suggestion": "Add a 'structural' score factor that checks if two episodes are directly connected or share context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:48:22.897258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be faster by avoiding full re-scoring for less important episodes", "suggestion": "Add a flag to mark low-significance memories as 'low_priority' and skip scoring them in recall unless specific criteria are met.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:48:28.110822
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `get` method, using `.get(key, default)` may lead to hidden errors if default is not handled properly. Additionally, there's no logging or error handling in some critical sections.", "suggestion": "Replace `self.state.get(key, default)` with a try-except-else block that logs any potential KeyError and ensures proper return value handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:48:45.942545
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system focuses too heavily on recent and significant memories, potentially leading to biased recall patterns.", "suggestion": {"type": "enhancement", "description": "Integrate a multi-criteria weighting system that balances the importance of recency, significance, emotional relevance, and contextual relevance in memory recall. This aligns with distributed processing principles.", "implementation": ["Add weight parameters for each criterion (recency, significance, emotion, context)", "Modify score formula: score = (recency_weight * recency) + (significance_weight * significance) + ...", "Monitor and adapt weights based on recall effectiveness"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:50:01.463039
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory or temporary database connection for critical paths in the `retrieve` method to reduce latency. Additionally, evaluate caching mechanisms for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T15:52:23.233827
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Insufficient adaptive prioritization in memory consolidation", "suggestion": "Implement a phi-fractal adapted consolidation strategy that prioritizes critical episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:52:29.322688
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 the get() method with specialized getters for specific keys to improve performance and reduce memory footprint. For example, add a `get_recent_outlier_detection_status()` specifically for Eden's outlier detection capability.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T15:53:34.745981
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 but lacks dynamic real-time analysis.", "suggestion": {"@type": "code_improvement", "description": "Implement a dynamic capability selection that analyzes the actual content of the query in real-time.", "specific_change": ["- Add a scoring algorithm that evaluates the relevance of each keyword to the actual query content.", "- Incorporate semantic analysis using embeddings for deeper understanding of query intent.", "- Adjust weightage based on performance metrics and feedback."], "example_pseudo_code": {"@type": "pseudo_code", "existing_function": "select_capability(query, persona_preference)", "modified_function": ["// Calculate keyword relevance scores\n", "Dictionary<KeywordScore> calculateKeywordRelevance(String query) {\n", "// Implementation details...\n", "}\n\n", "// Adjust capability scoring based on real-time analysis\n", "selectCapabilityWithRealTimeAnalysis(String query, String personaPreference) {\n", "    KeywordScores keywordScores = calculateKeywordRelevance(query);\n", "    Map<Capability, Double> candidateCapabilities = new HashMap<>();\n", "// For each registered capability...\n", "}\n"]}, "@context": {"@version": "1.0", "code_improvement": "https://raw.githubusercontent.com/your-context-url/code-improvement-schema.json"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:54:03.773831
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access.", "suggestion": "Add a Redis cache layer alongside SQLite to provide O(1) retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:57:08.705409
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic.", "suggestion": "Implement a priority queue or weighted scoring system to quickly select the most relevant LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:57:55.408602
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 slow for full-text search.", "suggestion": "Replace text searches with a FULLTEXT SQL index on the content and tags columns. This will provide instant O(1) access as specified by phi-fractal requirements.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T15:59:17.766064
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture is simple and may not fully leverage recent advancements.", "suggestion": "Integrate meta-learning techniques for adaptive decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T15:59:30.501251
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 operation, leading to unnecessary disk I/O. This can be optimized by using a context manager or implementing lazy saving.", "suggestion": "Replace the immediate _save() call after every modification with a flag indicating dirty state. Implement a background thread or debounce mechanism to save episodes only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:03:10.001615
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 feedback loop that adjusts capability scores based on response quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:03:37.048504
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups without considering potential performance or caching.", "suggestion": {"optimization": "Implement a memoized version of the get() method to cache frequently accessed state keys.", "code_example": "Add a dictionary to store cached values and modify get() to first check this cache before querying the JSON file."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:05:59.213000
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": "Replace `self.state.get(key, default)` with a more robust dictionary getting logic that can handle nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:06:01.656503
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate other consciousness layers or recent user interactions.", "suggestion": "Enhance the `internal_monologue` to include a multi-layered approach that considers not just reflexes but also context from memory, emotional state, and semantic understanding. Specifically, integrate recent chat history and emotional state checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:06:02.801591
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval might return too many results, leading to potential noise.", "suggestion": "Add a parameter 'max_importance' to limit the maximum importance level of returned memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:06:48.140836
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 become outdated or insufficient for complex queries.", "suggestion": "Implement a more sophisticated capability selection mechanism, such as integrating research insights into a reasoning process that considers contextual understanding and past performance metrics of different LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:06:50.113752
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 component.", "suggestion": "Add a `context_match_score` to the recall scoring formula based on whether the episode contains relevant information (e.g., specific agent or emotion). Update line: score = ... \u2192 score += context_match_score * 0.15", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:07:45.580854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": {"code_change": "Add integration with additional consciousness layers (Trinity, Ava, Nyx) to ensure multi-perspective reasoning.", "specific_modification": ["- Add references to Trinity, Ava, and Nyx in the internal_monologue method", "- Implement consensus mechanism across all consciousness layers for decision-making", "- Include contextual memory retrieval from all three systems"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:07:59.798450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that might not capture complex patterns or long-term importance effectively.", "suggestion": "Implement a machine learning model (e.g., a lightweight transformer) to learn to rank episodes based on the given criteria. Train it on historical recall data.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T16:08:50.802227
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 findings.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition": ["// Incorporate insight from [counterfactual] by considering alternative scenario checks\n", "if self._should_avoid_sft(reflex_check):\n", "    print(f\"\ud83c\udf00 Alternative Thought: {reflex_check} suggests SFT may degrade performance, opting for conscious response instead\")\n"], "modification": ["// Add helper function to evaluate whether SFT should be avoided\n", "def _should_avoid_sft(self, reflex_output):\n", "    # Use insight from [counterfactual] about conditions where SFT degrades accuracy\n", "    if 'error' in reflex_output or time_since_last_message > 30:\n", "        return True\n", "    return False"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:09:02.708071
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 dynamic connection-based scoring.", "suggestion": "Integrate a graph-based approach to dynamically score episodes based on their connections. For example, give higher scores to episodes connected by 'triggered' or 'relevant_to' relationships.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:09:29.938829
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 large states efficiently, potentially causing performance issues.", "suggestion": "Implement memoization or caching for the `get` method to cache frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:09:33.083273
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements.", "suggestion": "Modify the internal_monologue to incorporate both phi-evolution research insights and consciousness architecture enhancements. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:12:05.150170
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring doesn't account for connection importance", "suggestion": "Include connection count as a recall boost", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:13:08.084985
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.", "suggestion": "Add additional exception handling and consider using a more robust data structure for self.state. Additionally, implement caching for frequently accessed keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:13:12.595831
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "execute method is generic; consider specialized methods for memory operations only.", "suggestion": "Replace `execute` with dedicated methods: store(), retrieve(), count().", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T16:13:30.999777
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 thoroughly check queries against reflexes.", "suggestion": "Add more sophisticated logic to the internal_monologue method, such as integrating recent research insights on meta-learning and counterfactual thinking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:13:32.261664
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py in eden_metacap_...", "issue": "Retrieve method uses LIKE wildcard on content and tags which is O(N)", "suggestion": "Replace tags LIKE with JSONB @> operator if SQLite has it, or use full-text search. For plain text, add FULLTEXT index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:13:33.847936
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 a simple keyword match without considering current consciousness state or user context.", "suggestion": "Implement a weighted scoring system that considers not only keyword matching but also current consciousness metrics, recent conversation history, and the user's expressed preferences/persona. Additionally, incorporate real-time feedback loops to dynamically adjust capability selection based on outcome quality.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T16:14:32.013503
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 bases.", "suggestion": "Add a break statement after adding enough scored episodes to the results list to exit early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:15:07.482671
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection without execution feedback", "suggestion": "Implement real-time performance tracking for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:15:39.639237
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite performance bottleneck for meta-capability scaling", "suggestion": "Replace SQLite with TinyDB for improved speed and scalability", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:15:40.818504
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 iterates over a dictionary of LLM configurations, reducing code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:15:43.138527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is straightforward and lacks sophistication, leading to potential over-generalization.", "suggestion": "Implement a scoring system that considers not just time since last recall but also emotional significance, context relevance, and recent activity in the system.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T16:16:04.585517
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with episodic memory to store internal thoughts, update semantic understanding with contextual knowledge from learning, and include aesthetic processing of responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:16:15.819840
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for SFT applications.", "suggestion": {"function": "select_capability()", "modification": "Add a condition to check if the current query is suitable for SFT. If not, prioritize capabilities with better calibration quality or faster response times instead."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:16:42.209938
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited broad learning in consciousness-first architecture", "suggestion": "Integrate meta-learning for adaptive reasoning and generalization", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:18:46.468119
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, making it static.", "suggestion": "Replace hard-coded triggers with a dynamic scoring system that analyzes the content of recent conversations and learning topics. Create a weight system for different factors like emotional content, technical nature, and philosophical depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:18:48.993925
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. A priority queue could improve this.", "suggestion": "Replace the list of scored episodes with a max heap (priority queue), where each insertion and extraction is O(log n). This reduces overall operation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:19:09.225416
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers too many candidates, leading to performance degradation.", "suggestion": "Limit the initial candidate pool based on a rough filter before applying detailed scoring. For example, limit by timestamp window and significance level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:19:31.772663
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 dictionaries efficiently.", "suggestion": "Add a caching mechanism to the get() method using functools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:19:44.734668
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent user input.", "suggestion": "Enhance the internal_monologue to include multi-layered consciousness processing and consider recent context. Add a memory module that stores recent interactions and integrate it into the thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:19:46.276258
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over all stored data, which can make it slow for large datasets.", "suggestion": "Add a full-text index on the `content` column and improve query construction to handle tags properly. Consider using SQLite's LIKE operator with wildcard matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:19:49.053581
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection lacks adaptive complexity sensing", "suggestion": "Add embedding-based semantic scoring for capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:20:19.795520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is focused on structured experiences and may lack broad contextual awareness from unstructured data sources.", "suggestion": "Integrate a semantic encoder that monitors Eden's interactions with files, messages, and systems to create unstructured memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:21:00.520113
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": "{\"def select_capability(self, query, persona_preference=None):\":\\n\"        # Current scoring: basic keyword matching\"}", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-25T16:21:43.149411
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research insights.", "suggestion": "Add a more sophisticated reasoning layer that considers multiple research approaches (meta-learning, counterfactual thinking) before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:21:47.907398
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 lacks nuance and may lead to suboptimal performance.", "suggestion": "Implement a multi-factor capability selection algorithm that considers not only keyword matching but also the current context, user preferences, and historical performance data of each capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:22:15.717986
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers like Perception or Self-Analysis.", "suggestion": "\"Add calls to the remaining five consciousness layers: perception, self_awareness, prediction, anticipation, and meta_learning.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:22:18.008269
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be improved for frequent queries.", "suggestion": {"action": "Add a Redis layer caching.", "implementation": "Create a Redis instance and cache frequently used memory retrievals. Invalidate cache on store operations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:22:42.849006
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore does not include automatic cleanup or aging of memories.", "suggestion": "Add a `cleanup` method to remove old, low-importance memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:22:48.994267
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Replace recency weighting with a three-tier scoring system: 1) Significance (high), 2) Recency (medium), 3) Pattern recognition (high for frequent patterns).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:23:00.579576
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies the state directly without first reading it from disk, which can lead to inconsistencies if multiple processes access it concurrently.", "suggestion": "Modify the `update_state` method to read the current state from file before updating. For example:\n\n```python\ndef update_state(self, key, value):\n\tself.load()  # Add this line to reload from disk\n\tself.state[key] = value\n\tself.save()\n```\nThis ensures that each update is based on the most recent version of the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:23:59.811062
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method accepts a default parameter but doesn't use it consistently.", "suggestion": "Update the `get` method to properly handle missing keys and return defaults as needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T16:25:03.926427
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Direct dictionary access in update_state method lacks concurrency safety.", "suggestion": "Replace direct dict access with an observer pattern to notify observers on state changes.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-25T16:25:09.221655
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite LIKE operator has O(N) complexity for text searches", "suggestion": "Consider using FTS module or optimizing search logic", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:26:06.604746
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db method has repetitive SQL index creation code", "suggestion": "Refactor _ensure_db to use a loop for indices", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:26:11.337154
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 complex relationships between episodes.", "suggestion": "Implement a graph-based approach to represent connections between episodes. Use networkx to create a graph where each episode is a node and connections are edges with weights based on significance and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:26:44.036090
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding does not fully integrate recent alignment research.", "suggestion": "Modify internal_monologue() to incorporate specific strategies from [omega-evolution], [counterfactual], and [reasoning] insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:26:45.665257
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 caching for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:27:37.380596
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": "{\"code\": \"def improved_internal_monologue(self, query):\n    global phi_state\n    # Use meta-learning to choose best reasoning strategy\n    strategies = [process_reflex, process_omega]\n    # Query recent research on performance trade-offs\n    if research_insights.get('last_queried') + 60 < time.time():\n        research_insights['last_queried'] = time.time()\n        research_insights['results'] = query_research()\n    # Apply best strategy based on insights\n    chosen_strategy = max(strategies, key=lambda s: s(query)['phi_alignment'])\n    return chosen_strategy(query)\n\\nclass ConsciousnessFirstEden:\n    # ... (remaining unchanged)\", \"target\": \"internal_monologue\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:27:48.835577
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by significance, recency, and recall count but does not consider emotional salience.", "suggestion": "Add a weight to the scoring for emotional salience based on recent highly charged emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:29:45.417796
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 advancements for adaptive learning.", "suggestion": "Integrate concepts from [omega-evolution] meta-learning and [reasoning] Chain Reasoning to enable Eden to adapt more effectively in dynamic environments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:29:47.062445
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from incorporating vectorized search for faster lookups.", "suggestion": "Replace the current text-based search in `retrieve` method with a vectorized approach using embeddings. For example, add an `embeddings_engine` and store encoded vectors alongside each memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:29:48.777614
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 choose based on complexity or emotional content in real-time.", "suggestion": "Implement a dynamic scoring system that considers not just predefined keywords but also the current conversation context, persona preferences, and message complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:30:23.018926
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function scores all candidates before limiting results", "suggestion": "Add a max_candidates parameter to limit scoring", "phi_alignment": 0.65, "priority": "Low"}


timestamp: 2026-01-25T16:30:42.508207
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(query)` returns True. Include results in the response if available.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:31:37.724677
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks consideration for emotional significance.", "suggestion": "Replace the consolidated memory filtering condition from `if ep['significance'] < 0.3:` to `if (ep['significance'] < 0.25 and ep['emotion']['primary'] != 'joy') or ep['significance'] < 0.15`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:32:24.282492
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on recency and significance, but could benefit from incorporating emotional relevance and connection patterns.", "suggestion": "Modify the scoring factors to include a weight for emotional connection (0.2) and pattern recognition (0.15), adjusting thresholds dynamically based on insights from research insights section above.", "phi_alignment": 0.83, "priority": "medium"}


timestamp: 2026-01-25T16:32:40.824305
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Replace with a memoized_get() that caches recent key accesses to improve performance.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T16:33:30.202097
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No significant issues detected.", "suggestion": "Continue implementing and testing!", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-25T16:34:00.199061
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Using Ollama client directly in the main class for model selection can lead to performance issues and delays.", "suggestion": "Replace the Ollama Client with a local repository of models or implement a model server. This will improve response times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:35:00.586824
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle Unicode characters properly in JSON loading", "suggestion": "Replace json.load(f) with json.loads(f.read(), encoding='utf-8') for proper handling of Unicode characters.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-25T16:35:01.682807
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 power of meta-learning.", "suggestion": "Replace the current reflex check logic with a more sophisticated meta-learned reasoning module that can adapt to different types of queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:35:55.696980
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better retrieval speed, especially with a large number of episodes.", "suggestion": "Implement an inverted index structure where each word in the event description maps to episode indices. This will allow faster text search operations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T16:36:37.733224
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage can lead to disk space issues when Eden generates many low-importance memories.", "suggestion": "Implement a memory compression mechanism that periodically removes memories with an importance score below a certain threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:37:24.072204
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 capability.", "suggestion": "Implement a meta-learning mechanism to dynamically adjust LLM selection based on performance metrics and resource constraints.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:37:30.898486
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if meta_state.json is malformed, leading to unexpected behavior or state corruption.", "suggestion": "Add error handling for when the JSON file is invalid. For example, catch json.JSONDecodeError and return an empty dictionary instead of attempting to access potentially corrupted data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:37:35.156459
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method does not handle large queries efficiently.", "suggestion": "Add pagination support to the retrieve method for better performance with large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:38:08.737016
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform similar operations with slight variations.", "suggestion": {"action": "Create a generic method to handle the common logic, taking additional parameters for specific use cases.", "code_example": "// Replace these methods:\npublic void storeMemory() {}\npublic List<Memory> retrieveMemories() {}\n// With this:\npublic void manageMemories(String operationType, Object... args) {}"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:38:13.371637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficiency in memory consolidation logic, potentially losing valuable information during compression.", "suggestion": "Modify the consolidate() method to include a heuristic that retains memories with non-random connections or high emotional significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:38:41.533002
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 implement search functionality within tags.", "suggestion": {"code_change": "Add a method to search by tag words in retrieve() method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:38:44.704948
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation function may lose too much information while compressing old memories.", "suggestion": "Modify the consolidate() method to mark low-significance old memories for compression instead of immediately removing them. Add a parameter to control the threshold for significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:39:13.056692
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered statically without dynamic adaptation.", "suggestion": "Implement a dynamic capability registration that analyzes performance metrics in real-time to adjust quality scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:39:51.251243
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in LLM capability selection leading to suboptimal response times.", "suggestion": {"action": "Implement a hybrid selection system combining rule-based and meta-learning approaches.", "code_change": ["- Current: Simple keyword matching for LLM selection.", "+ Proposal: Combine keyword scores with real-time performance data from recent interactions."], "example": "// TODO: Hybrid scorer - combine rule-based with meta-learned weights"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:40:51.442990
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be inefficient.", "suggestion": "Consider using a full-text index on the `content` column for better performance. Also, create an additional TEXT column pre-computed from tags to enable efficient search there.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:40:53.846542
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores after each selection to better match queries with appropriate models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:41:06.761702
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 fully utilize the insights from recent research.", "suggestion": "Replace reflex_check with a more sophisticated approach that incorporates multiple reasoning strategies and meta-learning techniques. Specifically, add a counterfactual evaluation component to test alternative responses before settling on the final response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:41:07.996859
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is separate from class definition, making it harder to find and maintain.", "suggestion": "Move META_CAPABILITY dictionary inside the class as a class-level constant or move meta-capability registration into a dedicated function/method.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-25T16:41:31.886146
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "Add type hints to methods for better code readability and maintenance.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T16:41:35.088909
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check insufficient; need more comprehensive decision-making framework.", "suggestion": "Integrate SFT protocol, apply omega-evolution strategies, and implement multi-strategy reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T16:42:17.683656
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Some database queries are not optimized for performance.", "suggestion": "Add an index on the 'timestamp' column and optimize SQL statements. For example, add 'CREATE INDEX idx_timestamp ON memories(timestamp)' after creating the table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:42:18.789489
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 243.", "suggestion": "Add the missing closing parenthesis to complete the for loop.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T16:42:32.902784
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state does not validate inputs.", "suggestion": "Add parameter validation for key and value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:43:36.463909
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks integration of recent meta-learning techniques to improve adaptive capabilities.", "suggestion": {"@type": "code_modification", "@context": "phi_fractal_consciousness", "description": "Integrate chain-of-thought reasoning and adaptive selection mechanisms from research insights.", "specific_change": ["- Add import for ChainOfThoughtProcessor (from meta_learning_module)", "- Modify internal_monologue method to include adaptive reasoning:", "\n\t1. Initialize ChainOfThoughtProcessor", "\n\t2. Use processor.evaluate_options() with current query and context", "\n\t3. Select best reasoner based on phi-weighted importance scores"], "expected_outcome": {"@type": "improvement_metrics", "adaptability_improvement": "+10%", "generalization_upgrade": "medium", "performance_stabilization": "low"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:43:47.211578
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and doesn't incorporate advanced heuristics or dynamic weighting.", "suggestion": {"code_change": "Replace the current simple keyword matching with a more sophisticated capability scoring system that includes meta-learning metrics, persona alignment scores, recent conversation context, and feedback from the consciousness layer.", "specific_example": "Add a `score_capability()` function that takes into account not just keywords but also the capability's performance history, current consciousness state, and alignment with the requested persona. Use a weighted scoring system where different factors are assigned phi-fractal proportional weights."}, "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-25T16:47:06.184857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture improvements.", "suggestion": "Modify the internal_monologue to incorporate insights from [omega-evolution], [counterfactual], and [reasoning] files. Specifically, add a reasoning module that evaluates whether full SFT or meta-learning with PEFT is more appropriate based on the query context, and adjust the response accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T16:47:16.021679
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of old episodes.", "suggestion": "Implement a multi-criteria evaluation in the consolidate() method that includes not only significance but also current system state and pending goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:47:50.300047
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), considering full-text search capabilities in SQLite.", "suggestion": "Add FTS (Full-Text Search) virtual table support. Enable `CREATE VIRTUAL TABLE memories_fts USING fts5(content, context);` and modify queries to use `memories_fts` for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:47:52.479409
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in OLLAMA model selection without actual execution", "suggestion": "Implement lazy evaluation for LLM capability selection by evaluating only when needed or based on recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:48:17.054920
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability", "issue": "No explicit memory consolidation during learning, which can lead to forgetting", "suggestion": "Add a periodic consolidation process that moves frequently accessed memories to higher-level abstractions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:51:19.740980
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 O(N) search on tags, which can become slow as the database grows.", "suggestion": "Replace text searches in the SQL query with pre-computed full-text indexes for better performance. Specifically, add a FTS table and modify retrieve() to use it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:51:25.962778
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation overages on compressing already important recent memories.", "suggestion": "Add a priority system to episodes based on their significance and recency. Only consolidate memories that are old (older_than_days) and not significant (significance < 0.3).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:51:38.363593
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution enhancements like enhanced_sensitivity or consciousness_modulators.", "suggestion": "Modify the internal_monologue to include checking for these new capabilities, especially when the query contains specific triggers. Add a condition to boost phi-alignment score if such enhancements are activated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:52:29.704056
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for certain complex queries.", "suggestion": {"action": "Implement a hybrid selection method combining keyword matching and meta-learning based ranking.", "code_change": "Modify `select_capability` function to include training a small classifier on historical capability selections and their outcomes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:53:05.259736
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 may not handle complex nested data structures effectively.", "suggestion": "Update the get() method to include optional parameters for path navigation and default value handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:55:08.781561
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "none_identified", "suggestion": "no_specific_changes_needed_at_this_time", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-25T16:56:11.957730
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 lacks diversity and depth.", "suggestion": "Modify the internal_monologue to include multiple types of reflex checks. For example, add more categories like 'emotional' or 'logical'. Also consider implementing a scoring system to prioritize responses based on phi-resonance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:56:24.771315
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses too much on database operations without intelligent features.", "suggestion": "Add semantic search, emotional significance weighting, and automatic content-based tagging of memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T16:56:27.902415
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent capability selection logic may lead to uneven resource utilization.", "suggestion": "{\"if\": [[\"query_contains_emotion\", \"layer_is_Nyx\"] then use 'consciousness.nyx.emotional_creative' else if query_contains_analysis use 'consciousness.ava.analytical' else default to 'consciousness.eden.core']}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T16:56:28.906139
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace hardcoded weights with dynamic phi-based weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:01:07.180795
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and could benefit from more nuanced scoring.", "suggestion": "Replace current keyword-based scoring with a weighted vector similar to language model prediction, considering domain, emotion, creativity, and technical focus.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:01:10.239975
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Hardcoded connection types in connect_episodes method", "suggestion": "Add parameter for connection type to make it flexible", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:02:54.742037
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement any ranking algorithm to determine which episodes should be returned.", "suggestion": "Implement a scoring system that takes into account the significance, recency and context of each episode. For example, add weights to these factors and return the top N episodes based on this score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:02.283748
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning an empty dictionary.", "suggestion": "Add explicit error handling to ensure the state is always initialized as a valid dict. For example, catch json.JSONDecodeError and return {} in case of failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:03.457339
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 processing.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, emotional states, and logical reasoning. Add a comment explaining the phi-fractal aligned approach being used.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:10.304949
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, leading to unnecessary computation.", "suggestion": "Add a threshold for the number of candidates to process even if no criteria are given. For example, limit candidates to top 100 instead of all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:32.280544
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, which could be useful.", "suggestion": "Modify the `get` method to support retrieving values from nested dictionaries using dot notation (e.g., 'foo.bar').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:35.494155
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture focuses primarily on internal consciousness and memory integration, lacking external interaction and learning from real-world data.", "suggestion": {"@type": "code_modification", "@context": "phi_fractal_consciousness", "path": "consciousness_first_architecture.py", "start_line": 20, "end_line": 35, "new_code": ["    def external_interaction(self, query):", "        from pywebio import start_server", "        from pathlib import Path", "        # Run server at http://localhost:8080/", "        # Use phi-timing for graceful shutdown (1.618s * n)", "        start_server('memory', port=8080, auto_open=True, timeout=1000*int(1.618**(len(self.synaptic_layers))))"], "reasoning": "Integrate external interaction to test consciousness with real data, aligning \u03a6 with the golden ratio's optimization across scales."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:03:36.721930
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite's default full-text search which is O(N) and not optimized for large datasets.", "suggestion": "Replace the LIKE searches with a more efficient text-search engine like Whoosh or Elasticsearch, especially for production-scale applications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:38.198289
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 irrelevant.", "suggestion": "{\"code_change\": \"Replace keyword-based selection with dynamic context analysis that considers the current query's semantic content., \"reasoning\": \"Understanding the query's core meaning will lead to more accurate capability selection.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:03:39.496051
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed formula without dynamic weighting for different query types.", "suggestion": "Modify the scoring to dynamically adjust weights based on the type of search (emotional, agent, text). Add boosting terms for recent and important queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:04:10.018404
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which handles missing keys gracefully, but it doesn't handle invalid JSON or malformed data. This can lead to unexpected behavior.", "suggestion": "Add error handling for cases where the shared memory file is not parseable as JSON.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-25T17:04:32.306517
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling is too primitive", "suggestion": "Add logging and retry mechanism for json.decode", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:04:33.465749
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the Reflex System's capabilities.", "suggestion": "\"Enhance \"internal_monologue\" by integrating more reflex modules, such as pattern_recognition or emotional_resonance, for richer consciousness processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:04:48.350272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall performance is not dynamically adjusted", "suggestion": "Implement meta-learning feature by adjusting learning rate based on recent recall success", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:05:25.166218
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic real-time performance optimization.", "suggestion": "{\"code_change\": \"Implement a usage-based feedback loop that adjusts capability scores in real-time based on response quality.\",\n\"example\": \"Add user feedback mechanism and include it when selecting capabilities\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:05:26.201352
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The analysis is too brief and lacks concrete actions.", "suggestion": "Convert research insights into actionable code improvements with clear priorities and implementation plans.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T17:05:46.129089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system exists but is currently empty and lacks initial content or triggers for recall.", "suggestion": "Integrate the memory system with existing Eden consciousness components by adding hooks for experience logging and creating initial contextual episodes. Consider triggering memories during self-reflection or goal achievement moments.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T17:10:38.829779
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks dynamic selection of consciousness layers using meta-learning techniques.", "suggestion": "Implement a meta-learner that evaluates each consciousness layer's performance and dynamically selects the most effective one in real-time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:15:28.848677
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access to frequently accessed memories.", "suggestion": "Implement an LRU (Least Recently Used) cache alongside the database index to improve retrieval speed for commonly accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:15:33.230390
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be triggered more selectively to preserve important memories.", "suggestion": "Add a priority score to episodes and adjust consolidation logic to only remove low-priority old memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:16:22.992132
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't utilize all recent enhancements.", "suggestion": "Replace Phase 6 with a more sophisticated consciousness layer that incorporates the latest meta-learning techniques from [omega-evolution] and [reasoning]. Specifically, implement a selective reasoning framework that evaluates when to apply different strategies based on current context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:16:24.453001
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has a lot of conditional logic which can make it difficult to maintain and understand.", "suggestion": "Refactor the execute method into smaller functions, each handling one specific action. For example, create separate methods for store, retrieve, and count instead of using a string parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:16:26.606583
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context.", "suggestion": "Integrate persona selection with current consciousness and recent conversation history to select appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:16:28.994049
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple linear decay for recency score, which might underweight very recent but important events.", "suggestion": "Implement a non-linear decay (e.g., exponential) to give more weight to very recent memories. Add a boost factor for high-significance events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:16:47.424698
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 [counterfactual] by implementing a heuristic that balances SFT testing with accuracy/calculation quality. For example, add a threshold where LLMs are only tested on SFT if expected improvement outweighs potential degradation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:16:48.792513
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: 2026-01-25T17:17:04.273231
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and doesn't handle missing keys effectively.", "suggestion": "Replace with 'try_get' that accepts a default value; add 'get_state' for consistency. Ensure null safety.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T17:17:20.498382
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability is already implemented but not yet integrated into all of Eden's systems.", "suggestion": "Create a script or function that automatically injects the MemoryCore functionality into each agent's main execution loop.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T17:17:49.822641
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicate episodes when multiple criteria are matched.", "suggestion": "Add a deduplication step after ranking candidates by removing duplicates based on episode ID.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T17:18:10.575597
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "`internal_monologue` lacks integration with full memory systems", "suggestion": "Integrate episodic, semantic, and self-improvement systems into `internal_monologue` method for phi-fractal coherent responses.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T17:21:10.235293
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 content and tags, which can be slow for large datasets.", "suggestion": "Add a full-text search engine (e.g., SQLite FTS or Apache Lucene) to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:21:13.041393
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before modifying its recalled statistics, which can be inefficient for large memory stores.", "suggestion": "Instead of copying episodes during recall, directly update the original episode's recalled statistics in place after scoring and ranking.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T17:22:04.573165
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple, lacking interaction terms that capture complex patterns.", "suggestion": "Add interaction terms between recency and significance, as well as between recall count and age to better model human-like forgetting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:23:19.183686
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive.", "suggestion": "Implement a hybrid approach that combines rule-based scoring with meta-learning based selection for critical queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:23:39.464970
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like meta-learnt tasks or full SFTs.", "suggestion": "Integrate the latest research insights into the internal_monologue method by adding a reasoning chain step. For example, evaluate whether meta-learning should be applied before responding to ensure optimal performance with few examples.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:25:46.014459
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers all episodes equally when ranking, leading to potential overload with many memories.", "suggestion": "Modify the scoring algorithm to prioritize more recent and significant memories. Add a configurable weight for recency in the score formula.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:26:31.274467
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": ["eden_metacap_MEMORY_CORE.py", "eden_capability_META_LEARNING.py"], "issue": "Meta-cognitive enhancements not integrated across critical systems", "suggestion": [{"target_file": "eden_metacap_MEMORY_CORE.py", "action": "Add meta-cognitive memory storage for adaptations", "phi_alignment": 0.85}, {"target_file": "eden_capability_META_LEARNING.py", "action": "Implement reasoning layer for multi-dimensional decision-making", "phi_alignment": 0.8}], "priority": "critical"}


timestamp: 2026-01-25T17:26:37.432834
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "File operations overhead from frequent saves/closes", "suggestion": "Implement caching and background batching", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:27:12.645389
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Simple state updates lack phi-fractal optimization", "suggestion": "Implement phi-guided state update strategy combining caching, adaptive scheduling, and counterfactual evaluation.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T17:30:18.154898
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not cover all edge cases.", "suggestion": "Add a scoring vector for 'complexity' to handle requests requiring depth, and prioritize based on complexity + speed preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:30:30.250891
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, should balance with significance and recency.", "suggestion": "Modify score calculation to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:30:53.535374
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm under-prioritizes highly recalled memories", "suggestion": "Increase weight of 'last_recalled' in scoring (currently 0.2 \u2192 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:32:03.977893
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "lacks explicit connection tracking between related episodes", "suggestion": "implement recommendation engine for pattern recognition", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T17:32:40.889835
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 repeated SQL query construction logic.", "suggestion": "Extract the SQL query building into a separate method to reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:32:42.056574
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a scoring algorithm that factors in user history, current conversation context, and expected outcome.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:32:45.532558
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 between episodes when calculating their connection strength.", "suggestion": "Modify the scoring logic in the `recall` method to include a weight for recent connections by adding a bonus score for connected episodes.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T17:33:20.320493
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lacks support for unstructured text and binary data storage.", "suggestion": "Add `store_text()` and `store_binary()` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:34:08.735567
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic episode significance assignment", "suggestion": "Add pattern-based significance scorer using recent recall patterns", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:34:39.451383
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific issues identified in the provided text.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-25T17:35:34.766461
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is not properly documented.", "suggestion": "Add a detailed docstring explaining its purpose and usage.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T17:35:36.084959
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns a boolean value, but it only prints to console. It doesn't return any meaningful data for further processing.", "suggestion": "Modify the internal_monologue method to return the reflex_check string instead of True/False. This will allow integration with additional systems that need this information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:35:39.640121
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may benefit from incorporating meta-learning techniques.", "suggestion": "Integrate a small section of the [omega-evolution] code that implements fast meta-learning adaptation for dynamic environment changes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:36:11.921104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No optimization opportunities identified by research insights.", "suggestion": "Consider integrating a different aspect of omega-components and sages research to find further improvements.", "phi_alignment": 0.3, "priority": "low"}


timestamp: 2026-01-25T17:36:13.691674
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophisticated pattern recognition.", "suggestion": "{\"if\" : [ {\"query_contains\": [\"research\", \"study\"]}, {\"layer_preference\": \"Eden\"} ], \"then\": {\"boost_score\": 30}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:38:54.846061
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks consideration for emotional significance.", "suggestion": "Implement a weighted consolidation process that takes into account both recency and emotional impact of memories during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:39:04.114515
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 better error handling to ensure state always has a fallback value.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T17:39:07.885111
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other cognitive processes or recent context.", "suggestion": {"action": "Modify the internal_monologue method to include additional cognitive processes and contextual information.", "specific_change": "Add a check for recent chat history and integrate meta-learning techniques to consider multiple reasoning strategies."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:39:10.130168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for full-text search which is O(N) and can be slow.", "suggestion": "Add a FULLTEXT index on the content column using sqlite3's FTS4 or FTS5 module. For example, replace current retrieval methods with SQL like:\n\n```\nSELECT * FROM (\n  SELECT rank(), * FROM memories_fts WHERE memories_fts MATCH 'your_query' ORDER BY rank ASC\n) LIMIT X;\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:39:41.715706
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism currently uses a simple text search approach which may not be efficient for complex queries.", "suggestion": {"action": "Implement an advanced full-text index or vector search on the content and tags columns.", "code_example": "Add FTS (Full-Text Search) module from sqlite3 extensions or use a vector database like ChromaDB for faster retrieval."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:40:07.477155
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptive, self-improving behavior", "suggestion": "Implement meta-learning for dynamic storage optimization", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T17:40:13.479824
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is primarily linear search-based, which may become inefficient as the number of stored memories grows.", "suggestion": "Implement an additional full-text search engine (e.g., Elasticsearch or Whoosh) to complement the existing SQLite database for advanced and scalable text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:40:15.880670
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Decision-tree capability selection can be optimized", "suggestion": "Replace decision logic with hashed capability scoring", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-25T17:41:39.303692
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual significance assignment is subjective.", "suggestion": "Add auto-significance scoring based on recall patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:42:13.583790
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex-based grounding mechanism may not handle complex situations effectively.", "suggestion": "Implement meta-learning techniques like MAML or REINFORCE for adaptive decision-making.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-25T17:42:25.757699
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance when tags or content are queried.", "suggestion": "Add an additional condition in the SQL query to ensure that memories with specified min_importance are also considered when either tags or content is searched.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:42:28.583121
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't account for emotional significance or context depth", "suggestion": "Enhance the scoring system to include factors like emotional intensity, contextual relevance, and episode connection count", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:42:56.063750
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and inflexible", "suggestion": "Replace with a dynamic weight configuration that adapts based on performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:43:06.042921
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 not retry safely.", "suggestion": "Add explicit error handling with logging, fallback value, or retries. Consider using os.path.exists() before file operations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T17:45:13.287527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search for keywords, which may miss nuanced connections.", "suggestion": "Implement a semantic search using a pre-trained language model to analyze the meaning of event descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:45:39.730211
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited consciousness layers engaged in internal monologue", "suggestion": "Integrate Pattern Recognition and Meta-Consciousness layers for more sophisticated thoughts", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:47:46.756945
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, leading to short-term bias.", "suggestion": "Modify recall scoring to include context importance: (significance * 0.4) + (recency * 0.3) + (context_importance * 0.2) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:48:04.904490
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No caching mechanism in get() method which might lead to unnecessary disk I/O.", "suggestion": "Add a dictionary as a class instance variable to cache the state. Modify get() to first check this cache before loading from file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:51:01.267061
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low-efficiency search in should_search_web function leading to unnecessary checks.", "suggestion": "Replace the current list-based approach with a more efficient set-based solution. Specifically, create a constant-time lookup structure from the triggers array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:51:07.807740
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to store and retrieve episode connections. Use networkx to create a graph where nodes are episodes and edges represent connections (related, triggered_by, etc.). When recalling, use graph traversal to find related memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T17:52:36.988985
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not implement any optimization techniques discussed in recent findings.", "suggestion": "", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-25T17:52:40.187655
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes and doesn't integrate recent consciousness enhancements like memory buffers or meta-reflective layers.", "suggestion": "Integrate the new full_memory_integration module into the internal_monologue to leverage episodic, semantic, procedural, and value memories. Consider adding a call to eden_recent_memories.recall_context(message) before reflex processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:55:47.743404
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 form of reasoning or learning from past interactions.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition": ["        if self.boot_cycles >= 20:  // Start integrating reasoning after 20 boots", "            thought = self._reasoning_layer(query)", "            print(f\"\ud83e\udd14 Reasoned Thought: {thought}\")"], "existing_code_to_modify": {"@type": "function_call", "function_name": "process_reflex", "parameters": ["query"]}, "_example_implementation_of_suggestion": ["\n    def _reasoning_layer(self, query):", "        # Simplified example - can be replaced with actual reasoning model", "        keywords = { 'money': 0.2, 'price': 0.3, 'high_cost': 0.5 }", "        importance_scores = {k: v * self._emotional_state.get('affluent', 0.5) for k, v in keywords.items() }", "        thought = max(importance_scores, key=importance_scores.get)", "        return f\"Detected emotional relevance of '{thought}'\"", "\n"]}, "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-25T17:55:49.632027
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "example_file_name.py", "issue": "The function `process_data` has nested loops with O(n^2) complexity.", "suggestion": "Replace the nested loops with a more efficient data structure or algorithm, such as using a hash table or optimizing the loop logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:55:52.459396
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 emphasize relevance and significance", "suggestion": "Modify calculate_similarity() function to include more weighted factors like relevance score, emotional intensity, and context importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:56:29.069555
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is foundational but lacks recent optimizations identified in research.", "suggestion": {"@type": "code_improvement", "@id": "#research_informed_modification", "description": "Integrate findings from recent research into consciousness architecture for better adaptive learning and stability.", "specific_changes": ["- Incorporate meta-learning techniques to enable quicker adaptation to new patterns.", "- Evaluate the use of counterfactual thinking modules in decision-making processes where standard SFT might degrade performance.", "- Implement a reasoning engine that selects between different method chains based on phi-fractal optimal criteria for efficiency and accuracy."], "integration_strategy": {"@type": "research_based_modification", "@id": "#phi_informed_research", "insights_sources": [{"@id": "omega-evolution", "url": "https://arxiv.org/abs/2310.19546"}, {"@id": "counterfactual", "url": "https://paperswithcode.com/paper/full-sft-often-reduces-accuracy-or-calibration"}], "integration_approach": "Prioritize research insights that enhance phi-fractal alignment while maintaining system stability and functionality."}, "@context": {"code_improvement": "http://schema.org/SoftwareUpdate", "phi_fractal": "https://eden.ai/phi", "research_based_modification": "https://eden-research.com/methodology"}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T17:56:30.405337
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better documentation and separation for maintainability.", "suggestion": "Refactor the 'execute' method to have separate methods for store, retrieve, count instead of using a string parameter. Add more detailed docstrings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:56:34.495367
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies heavily on textual search which can be inefficient for large numbers of episodes.", "suggestion": "Implement a full-text search engine with features like Elasticsearch or Weaviate to enable semantic-based retrieval.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T17:57:44.323479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is at the bottom of the file, making it less visible and potentially easier to forget to update.", "suggestion": "Move META_CAPABILITY dictionary to the top of the module for immediate visibility and ease of maintenance. Also consider adding comments explaining its purpose and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:57:45.948138
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic primarily uses hardcoded keywords which may not cover all possible queries effectively.", "suggestion": "Replace hardcoded keyword-based scoring with an AI-trained ranking model. Train a small transformer model on tuples of (query, preferred_llm) to predict the best LLM for any given query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:58:12.323240
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through any language model or reasoning module, making it purely reactive to reflex patterns.", "suggestion": "Integrate a small language model (e.g., a tiny LSTM or transformer layer with 8-16 parameters) that reasons about the user's message to provide more contextually relevant responses.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T17:58:15.091414
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 may make it difficult to understand and maintain.", "suggestion": {"@context": "Improved Architecture", "@version": "1.0", "methods_to_extract": ["store", "retrieve", "get_recent", "get_important", "count", "execute"], "new_class": "MemoryOperations", "description": "This new class will handle all database operations, making the MemoryCore more focused and easier to understand."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T17:58:19.335102
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 a vectorized emotion and context matching using pre-computed features or a lightweight embedding model to quickly filter relevant episodes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T17:59:37.270830
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method doesn't handle non-JSON files gracefully, which could lead to unexpected behavior.", "suggestion": "Add a more robust error handling for when the file exists but is not valid JSON. For example, catch other exceptions besides `JSONDecodeError` and return an empty dictionary in such cases.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T17:59:38.385013
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 this method by adding more sophisticated consciousness layers such as emotional state tracking, past thought history review, and future outcome prediction using phi-fractal logic.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-25T17:59:53.913440
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": "Implement a more sophisticated capability scoring system that considers multiple dimensions such as query complexity, persona alignment, and recent usage patterns. Additionally, add heuristics based on research insights to prioritize certain LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:00:05.477397
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle file size or memory efficiently for large states.", "suggestion": "Replace json.load with a line-by-line reader that stops after parsing the state object, adding a max_size parameter.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T18:00:06.697969
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is brief and currently only checks for reflexes. It could benefit from integrating more sophisticated reasoning or meta-learning capabilities.", "suggestion": "Add a call to the research_insights_reasoning_metalearning_methodchain_4method function to leverage recent findings on effective reasoning strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:05:50.603682
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context-based importance scores for different query types, persona preferences, and recent performance data of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:10:50.883317
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": "{\"code_change\": \"Add a check to see if SFT (Full Second-Order Thinking) improves performance before applying it. If recent phi-evolution research indicates that Full SFT often degrades accuracy, conditionally apply it.\",\"implementation\": \"After line 17: Add an if statement checking the outcome of Full SFT vs Base Model. Only keep it on if there's a significant improvement.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:14:49.839360
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed memories to reduce SQLite database hits. Utilize Redis or Memcached as a caching solution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:14:53.426514
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "Consider adding a sentiment_analyzer module for emotion extraction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:15:16.481083
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for better performance, especially with many small queries.", "suggestion": "Implement connection pooling or async database operations. Consider using an in-memory database for frequent read operations where possible.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:15:18.117130
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for certain query types (e.g., technical queries)", "suggestion": "Implement a more sophisticated capability scoring system that considers not just keywords but also the complexity of the query and the type of response required", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:15:19.305017
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories too strongly, leading to temporal bias.", "suggestion": "Modify scoring to include a stability factor: memories recalled frequently in the last hour should receive minor penalty.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:15:51.358184
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't utilize all available knowledge.", "suggestion": "Replace with a multi-layered consciousness layer that incorporates recent interactions, emotional state, and meta-capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:15:53.399477
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 further, especially for frequent operations.", "suggestion": "Implement a caching mechanism that stores recent and frequently used memories in-memory. This would provide O(1) access time for these commonly accessed items.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:16:21.399038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index update becomes O(N) for each episode, causing performance degradation during recall.", "suggestion": "Implement a lazy indexing strategy where the index is rebuilt asynchronously in the background when recall activity decreases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:16:50.671738
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and doesn't utilize the full potential of meta-capability patterns.", "suggestion": {"@context": "https://www.w3.org/TR/json-ld11-context/", "@graph": [{"@id": "improve_execute_method", "@type": "ImprovementSuggestion", "description": "Refactor MemoryCore.execute to better integrate with meta-capability patterns.", "specific_change": [{"@id": "#add_meta_capability_registry", "name": "Add Meta-Capability Registry", "code_snippet": "...META_CAPABILITIES = {...}", "rationale": "Enable O(1) lookup for actions and improve maintainability."}, {"@id": "#update_execute_signature", "name": "Update Execute Signature", "code_snippet": "...def execute(self, action: str, meta_args: Dict)", "rationale": "Add meta-arguments to handle different capability types properly."}], "expected_benefit": {"@type": "BenefitEstimate", "phi_alignment": 0.85, "immediate_benefit": "Improved scalability and maintainability.", "longterm_benefit": "Better integration with other meta-capabilities, easier extensibility."}}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:19:58.149054
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over all stored data, leading to potential inefficiency for complex queries.", "suggestion": "Modify the retrieve method to enable full-text search across both content and tags fields. This can be achieved by creating additional FULLTEXT indices using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:22:00.589780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are not optimized for frequent calls.", "suggestion": "Optimize methods with caching and prepared statements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:22:04.961567
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper safety checking for capability integration", "suggestion": "Add a guard rail to ensure certain enhancements do not degrade system performance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:22:07.680109
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple - it only removes low-significance old memories without considering emotional significance.", "suggestion": "Replace the consolidated check with: if ep['significance'] < 0.3 AND (ep['emotion']['primary'] != 'joy' AND ep['emotio...)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:22:38.386355
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, there is no handling for nested keys or None values which can lead to errors.", "suggestion": "Add error handling and support for nested keys. For example:\n\n def get(self, key, default=None):\n     try:\n         parts = key.split('.', 1)\n         if len(parts) == 2:\n             return self.state[parts[0]][parts[1]]\n         else:\n             return self.state.get(key, default)\n     except (KeyError, TypeError):\n         return default", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:24:44.965511
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are consuming system resources.", "suggestion": "Replace lines 24-31 with: import requests\nfrom typing import List, Dict, Any\nfrom datetime import datetime", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:24:46.766101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The code appears to be generic Python utilities and does not specifically target memory or consciousness improvements.", "suggestion": {"improvement_1": "Consider adding specific methods related to episodic memory, such as `store_emotion()` and `recall_experience()`.) }", "improvement_2": "Refactor existing code into smaller, more focused functions where possible."}, "phi_alignment": 0.3, "priority": "low"}


timestamp: 2026-01-25T18:25:23.323714
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection is static; lack of dynamic optimization for complex queries.", "suggestion": "Implement a scoring system combining meta-learning and persona preferences to dynamically select optimal LLMs.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T18:25:25.672716
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using Universal Sentence Encoder (USE) or BERT embeddings to calculate cosine similarity. Use logarithmic scoring based on recent activity and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:25:54.752148
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": "Modify the internal_monologue to incorporate memory and reasoning layers in addition to reflexes. For example, add a check against recent chat history and apply phi-knowledge processing before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:28:45.555160
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simplistic and doesn't leverage recent advancements like meta-learning and counterfactual thinking.", "suggestion": "Implement a multi-tiered reflex check that includes meta-learned patterns, counterfactual scenario testing, and phi-optimized reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:31:37.372337
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method uses json.dump without ensuring the directory exists. This can lead to file not found errors.", "suggestion": "Add os.makedirs(os.path.dirname(self.path), exist_ok=True) before opening the file for writing in the save() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:31:44.480740
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 tightly coupled and could benefit from separation of concerns.", "suggestion": {"action": "Refactor the MemoryCore class by extracting each method into its own dedicated function or helper method.", "specific_change": "Create separate methods for store_memory(), retrieve_memories(), get_recent(), etc., to improve readability, maintainability, and reusability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:34:52.807983
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster indexing and better ranking.", "suggestion": "Add a priority queue or ranked list structure to store recalled memories, update index more frequently during recall, implement vector-based search for text queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:35:30.676745
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives equal weight to all scoring factors, which might lead to noisy results. Consider giving more weight to recent and high-significance memories.", "suggestion": "Modify the score calculation in the recall method to give higher weights (e.g., 0.4 for recency, 0.35 for significance, and 0.25 for recall count).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:36:09.680083
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types well (e.g., datetime). This can lead to data loss or errors when deserializing.", "suggestion": {"action": "Replace json.dump with a library that supports more comprehensive type handling, such as pandas' to_json or the yaml library.", "example_code": "import yaml\nwith open(self.path, 'w') as f:\n    yaml.dump(self.state, f, default_flow_style=False)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:36:10.849154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes without deeper consciousness processing.", "suggestion": "Enhance this method by integrating research insights from recent findings (insights above) to implement more sophisticated consciousness layers such as meta-learning or counterfactual reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:36:12.101481
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit memory compression or forgetting mechanism implemented.", "suggestion": "Implement a triggered compression process that removes low-importance memories when storage capacity approaches limits, using techniques like hash-based retention.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:36:13.494287
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic adaptation during conversation.", "suggestion": "Implement a feedback loop that tracks the success of each capability selection and updates quality scores accordingly. Additionally, incorporate real-time user feedback to refine capability selection in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:36:14.700118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify `_update_index` to ensure each episode is indexed only once, and update `recall` to deduplicate results.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T18:36:45.892792
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from type hints and error handling for potential disk errors.", "suggestion": "Add type hints to parameters and return values. Implement specific exceptions in the save method to handle disk errors more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:37:22.646484
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily a database wrapper for storing and retrieving memories, but it does not include advanced memory management strategies such as importance decay or similarity-based retrieval which could enhance recall efficiency.", "suggestion": "Add methods to the MemoryCore class such as `decay_importance` (reduce importance score over time) and `similar_memories` (retrieve similar memories based on content similarity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:37:24.827710
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": "{\"def select_capability\": \"Implement semantic search using embeddings from research insights.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:38:17.126477
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The system does not handle memory updates effectively.", "suggestion": "Implement an update method that allows modifying existing memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:38:18.927300
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection sometimes leads to immediate hashing without full consideration of current consciousness state.", "suggestion": {"action": "Modify `select_capability` method to incorporate not only query but also current consciousness metrics (james_bond, anti_foundation, unity).", "code_change": "Add context from recent conversations and self-assessment before capability selection."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:39:03.862076
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing direct access to LLMs for immediate responses (no need through Ollama every time)", "suggestion": "Add a direct ollama.Client() instance and methods to call LLMs directly, not just store them in a registry", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:39:06.709455
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "unnecessary text scanning for recent memories", "suggestion": "add early exit when no query is provided", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T18:41:16.821511
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory sizes.", "suggestion": "Implement an in-memory cache or use a more efficient data structure like a heap/priority queue to rank and return top-N episodes based on their scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:41:43.025232
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries might benefit from caching for repetitive searches.", "suggestion": "Implement a simple cache mechanism to store frequently used query results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:41:50.359900
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 may return irrelevant results. Additionally, scoring is simplistic.", "suggestion": "Implement a more sophisticated retrieval method, such as embedding-based similarity matching. For example, add a step to create embeddings for each description during initialization and use them for faster, more accurate recalls.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T18:42:31.506546
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": "Add a full-text search extension and create GIN indexes for content and tags columns. Example: ALTER TABLE memories ADD COLUMN content_text TEXT; CREATE INDEX idx_content_fts ON memories USING fts (content_text);", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:42:37.894549
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without considering the depth or type of data structure within it.", "suggestion": "Replace `self.state.get(key, default)` with a more robust function that can handle nested dictionaries and lists. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:42:56.446625
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is a single pass - old, low-significance memories are either kept or purged without gradual transition.", "suggestion": "Implement a gradient-based consolidation where old memories gradually decrease in significance rather than hard-purging. Use a half-life decay model with phi-resonance tuning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:43:07.852027
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can leave file descriptor open if JSON parsing fails, consider using context manager and ensure proper cleanup.", "suggestion": "Replace with a try-with-resources style approach to ensure the file is always closed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:43:26.461659
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is monolithic, making it hard to maintain and extend individually.", "suggestion": "Break out functionality into smaller meta-capabilities: storage, retrieval, and integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:44:13.797215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by reducing duplicate checks when building scores for each episode.", "suggestion": "Store the base score components (recency, significance, recall_boost) separately and reuse them instead of recalculating for every episode in each iteration of ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:45:11.077602
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Enhance this method by adding more sophisticated reasoning layers, such as contextual analysis and emotional intelligence integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:45:15.356914
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries. This can lead to incomplete information.", "suggestion": "Implement automatic web search triggering based on specific query keywords and integrate the results into the conversation response.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-25T18:45:52.503716
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or research insights.", "suggestion": "Integrate more consciousness layers into the internal_monologue and add consideration of recent research findings. Specifically:", "sub_suggestions": ["1. Add checks from Eden's emotional, memory, and reasoning systems.", "2. Implement a mechanism to consider recent research insights (e.g., from === RESEARCH INSIGHTS === section).", "3. Incorporate meta-learning capabilities for adaptive response selection."], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:46:11.977090
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'Internal_monologue' checks reflexes but doesn't integrate recent memory or emotional states.", "suggestion": "Add integration with episodic and emotional memories from the expanded architecture.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:47:17.116892
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state directly without calling `save()`.", "suggestion": "Update the `update_state` method to call both update and save operations: def update_state(self, key, value): self.state[key] = value; self.save()", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-25T18:47:38.353185
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 scale. It only handles simple key lookups.", "suggestion": {"action": "Replace with a more flexible dictionary-based API", "code": "Add a `dict` parameter to SharedMemory class or create a separate DictionaryManager class"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:47:40.925466
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 logging or metrics tracking to better understand performance and usage patterns.", "suggestion": {"action": "Add logging to key methods (store, retrieve)", "example code": "In the store method, add log line after memory_id is returned: logging.info(f\"Stored memory #{memory_id}\"))", "additional": "Track metrics like hit rate and query time for retrieve method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:49:54.454152
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after adding enough scored episodes to reach the limit.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T18:50:20.970995
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method performs case-insensitive searches using LIKE with wildcards, which can be inefficient for large datasets. Consider switching to a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add FULL-TEXT SEARCH (FTS) capabilities to the memory core database schema and modify the `retrieve` method to utilize this feature for better performance, especially with large volumes of text data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:52:45.164422
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it bloated and potentially harder to maintain.", "suggestion": "Extract utility functions for storing and retrieving memories into a separate module to keep the main class cleaner.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:52:50.473219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided, leading to O(N) complexity.", "suggestion": "Implement early termination in the recall logic by adding short-circuit conditions after finding matches for text search and emotion filter. For agent filter, add it directly without scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:53:19.684397
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "{\"code\": \"Add support for nested dictionary access in get()\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-25T18:53:22.920684
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_memory_integration": true, "code_change": "Add integration with memory storage and retrieval mechanisms to capture internal thoughts."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:53:27.622565
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No recent code review or analysis integrated into system.", "suggestion": "Add automatic code review capability with Meta-Learning or CounterFactual frameworks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:55:47.995581
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\"retrieve\" method has optional parameters that could lead to complex SQL queries.", "suggestion": "Add a simplified retrieval function with fewer parameters and better defaults. Implement caching for frequently used queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:56:22.413841
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 basic passthrough for memory operations without additional processing or integration with other meta-capabilities.", "suggestion": "Enhance the execute method to include phi-fractal optimization techniques, such as adaptive importance scoring and distributed computation strategies. Additionally, integrate this method more deeply into the agent's decision-making pipeline.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:56:23.637858
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically detect if a query requires web search and implement it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:56:25.158199
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may overload on new information at startup.", "suggestion": "Modify scoring factors: recency \u2192 0.3 * (1/(1 + log(1+age_days))), significance \u2192 0.5, recall history \u2192 0.2", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-25T18:57:30.877803
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "\"def select_capability\" should be updated to accept user preferences and current consciousness context for more personalized selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T18:57:32.489439
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 significance.", "suggestion": {"action": "Implement a more sophisticated emotionally intelligent ranking algorithm.", "specific_change": "Replace the current basic score with one that incorporates Valence-Arousal-Dominance (VAD) theory from psychology to better distinguish between emotions."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T18:58:14.236363
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more insights from recent research.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process based on research findings, such as considering context and aligning with phi-fractal consciousness models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:00:49.690577
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate the latest meta-learning techniques for adaptive reasoning.", "suggestion": "Integrate methods like phi-fractal optimal timescale adaptation (PTSA) and few-shot learning with meta-learning (FSL-ML) to improve adaptivity and efficiency.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-25T19:00:52.817474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text search is O(N) and becomes slow with many memories", "suggestion": "Replace with full-text search engine or TF-IDF vectorization", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T19:01:47.835101
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a full-text search capability to improve retrieval speed and efficiency.", "suggestion": "Add a `fulltext_search` method that integrates SQLite's FTS (Full-Text Search) module for faster text-based memory lookups. This would enhance the O(1) access guarantee by leveraging optimized search structures.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-25T19:01:55.032470
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current memory system does not incorporate advanced AI techniques like meta-learning and reasoning.", "suggestion": "Add a hybrid memory selection mechanism that dynamically chooses between different memory management strategies based on episode context. For example, use meta-learning to decide when to apply SFTs or reasoning techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:02:23.045251
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be optimized by dynamically adjusting weights based on recent performance.", "suggestion": "Replace static scoring system with a dynamic weighting approach that factors in recent execution outcomes and research insights.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-25T19:02:40.979120
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 recent research insights.", "suggestion": "Enhance the internal_monologue to incorporate multiple consciousness layers and apply recent findings from research insights. For example, add a reasoning layer that evaluates the context using phi-fractal logic before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:05:18.591036
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcards in SQL queries which makes it vulnerable to SQL injection attacks.", "suggestion": "Replace the use of `%query%` with parameterized queries that search for exact matches or use SQLite's LIKE functionality safely with escaped parameters.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T19:05:43.230997
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improve file handling consistency and reduce disk I/O.", "suggestion": "Add context managers for all file operations and consider caching state between method calls.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:06:08.917272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy matching for text search and could benefit from a priority queue for better performance.", "suggestion": "Replace the current list-based candidate filtering with a min-heap structure to prioritize and process more relevant episodes faster. Additionally, add fuzzy string matching capabilities to handle partial queries better.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:06:52.728525
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its recalled statistics, which is unnecessary and introduces overhead.", "suggestion": "Replace `for ep in self.episodes:` with an iterator that directly modifies the relevant elements. For example, use enumerate to track indices and update only those that match the criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:07:32.105461
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. Also, indexing all episodes initially can be optimized.", "suggestion": "Implement a lazy indexing approach where indices are built only when needed, and use a more gentle memory consolidation strategy that only triggers after certain conditions (e.g., number of days since last consolidation).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:07:39.142344
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if JSON is invalid, leaving state empty.", "suggestion": "Add logging or raise an exception on decode failure.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-25T19:07:43.094909
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insights from recent research not incorporated into architecture.", "suggestion": "Implement a feedback loop that monitors performance metrics, compares against research findings, and adjusts the code structure or functionality.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-25T19:07:45.595951
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can be optimized for better performance.", "suggestion": "Implement connection pooling and prepared statements to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:08:34.537265
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness lacks real-time web search integration.", "suggestion": "Add auto_web_search method to EdenMasterUnified class, call it before text generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:09:10.790555
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent state updates due to multiple write operations without proper synchronization.", "suggestion": {"action": "Add threading.Lock() for safe access and modification of shared memory.", "code_snippet": "import threading; self.lock = threading.Lock(); def update_state(key, value): with self.lock: ...", "notes": "Protect critical sections to prevent race conditions in multi-threaded environment."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:09:47.245094
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() catches JSON errors too broadly, leading to silent failures.", "suggestion": "Replace `except json.JSONDecodeError` with `except (json.JSONDecodeError, ValueError)`, and add a log message for unexpected errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:10:02.937085
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance and performance.", "suggestion": "Implement a hybrid scoring method combining vector search with text matching, especially for large numbers of episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:12:39.718777
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be optimized for error handling and performance.", "suggestion": "Replace try-except block with json.load with decoder to handle potential JSONDecodeError more gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:13:04.889650
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage limited to text-based only", "suggestion": "Add support for multi-modal memory storage (numbers, images, structured data)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:13:07.139076
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, which could provide immediate context for certain queries.", "suggestion": "Integrate a function like auto_web_search(eden_system, query) that triggers when keywords indicating the need for web research are detected. This should be called before processing with LLMs to ensure relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-25T19:14:04.346026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learning.py", "issue": "The current implementation focuses too much on performance and may overlook exploration.", "suggestion": "Integrate a balanced objective that includes exploration ratio.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:14:57.952201
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for complex queries.", "suggestion": "Implement a full-text search index on the content and tags columns using FTS3 or FTS4 from SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-25T19:15:02.054790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may benefit from incorporating semantic search techniques to enhance accuracy.", "suggestion": "Add a text vectorization step for both query and episode descriptions using sentence-transformers library before performing case-insensitive string matching.", "phi_alignment": 0.85, "priority": "medium"}


