# evolutions

timestamp: 2026-01-26T12:08:14.484290
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent memory updates.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_imports": ["\"eden_memory_integration\"", "\"consciousness_layer_manager\""], "modify_functionality": [{"insert_after_line": "reflex_check = process_reflex(query)", "code_snippet": "// Check with memory\nmemory_context = get_recent_memory_context(query)\n// Integrate consciousness layers\ncross_attention_result = integrate_all_layers(input_text, memory_context)"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:08:15.777004
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have repetitive code that could be optimized for better readability and maintainability.", "suggestion": "Refactor the `retrieve` method by breaking down complex SQL queries into smaller functions. Additionally, consider adding type hints to improve code clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:08:17.205324
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is simple keyword matching, lacking strategic consideration.", "suggestion": "Replace with a multi-criteria evaluation using research insights (phi-resonance scoring).", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T12:13:50.118477
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches on JSON columns, which can be slow for large datasets.", "suggestion": "Replace the context and tags columns with separate TEXT and INTEGER columns respectively. Add FULLTEXT indexes on content column using sqlite's FTS feature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:16:24.422037
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The emotional_pattern analysis only considers count and average intensity of primary emotions, losing nuanced information.", "suggestion": "Replace simple count with a weighted score based on emotion valence. Add sentiment analysis using a pre-trained model to capture emotional nuances.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:17:00.034191
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes without early stopping when top N are found.", "suggestion": "Add early exit after processing top 'limit' scored episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:17:15.750795
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve, get_recent, etc.) which can be optimized for better maintainability.", "suggestion": "Extract common functionality into a base memory manager class and have MemoryCore inherit from it. This will reduce code duplication and make maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:17:25.009002
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when ranking by recency, which might not weight recent but meaningful events appropriately.", "suggestion": "Modify the scoring formula to give more weight to both significance and recency. Add a hyperparameter `recency_weight` that controls this trade-off.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:17:49.964012
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage research insights.", "suggestion": "Enhance the internal_monologue with a multi-step reasoning process incorporating findings from recent research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:20:00.776345
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function performs full copy of each episode on every call, causing significant memory overhead.", "suggestion": "Replace shallow copying with direct dictionary updates that only add new fields (recall_score), and optimize the recall logic to minimize overall dictionary operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:20:29.103169
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 on content and tags, which are O(N) operations per row.", "suggestion": "Replace the full-text searches with a full-text search engine like SQLite FTS or an external search service (e.g., Elasticsearch).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:23:15.992342
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries efficiently.", "suggestion": "Add a more advanced query capability by implementing an evaluate_state() method that accepts a lambda function for custom checks on the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T12:23:19.354480
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not explicitly incorporate the findings from [counterfactual] regarding avoiding certain techniques that degrade performance.", "suggestion": "Modify the internal_monologue method to include a check for conditions where SFT (Self-Fine-Tuning) might degrade accuracy or calibration. If such conditions are detected, fall back to another approach like meta-learning or PEFT instead of applying SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:23:21.381543
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The class contains multiple methods that handle different operations, making it slightly bloated.", "suggestion": "Refactor the MemoryCore class by extracting each operation into a separate method or class to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:23:22.727991
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, which could improve dynamic capability selection.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust the LLM selection criteria based on past performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:24:24.343905
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 semantic search.", "suggestion": "Add TF-IDF based scoring for better ranking of memories relevant to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:24:27.684410
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not prioritize newer memories over older ones when no criteria are provided", "suggestion": "Modify recall scoring to give more weight to recency for unfiltered recalls, e.g., add a linear decay factor for age.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:24:46.665730
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 meta-update with Adaptive Fine-Tuning", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T12:26:14.336154
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": "\"except json.JSONDecodeError\" should catch and log error instead of returning {} to prevent data loss.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T12:26:21.200507
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses on database operations without incorporating the golden ratio (\u03c6) for memory prioritization or retrieval.", "suggestion": "Add a \u03c6-weighted scoring system to memories during storage and retrieval methods. For example, in the `store` method, calculate an importance score using Fibonacci numbers related to \u03c6. In `retrieve`, allow filtering by \u03c6-threshold importance levels.", "phi_alignment": 0.618, "priority": "high"}


timestamp: 2026-01-26T12:26:29.682512
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may not efficiently retrieve relevant memories.", "suggestion": "Implement a vectorized embedding-based retrieval system. Use sentence embeddings to represent memory descriptions and user queries, then apply cosine similarity for scoring. This leverages the phi-fractal nature of recursive self-improvement by enabling more nuanced and efficient memory retrieval.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T12:26:59.436882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve), but these operations are not clearly separated into distinct methods or classes.", "suggestion": {"@type": "code_refactoring", "@target": "MemoryCore class", "action": "Create an abstract base class for the MemoryMetaCapability with specific subclasses for each operation (StoreOperation, RetrieveOperation). This will improve readability and maintainability.", "example_usage": "class StoreOperation(abc.ABC):\n    def execute(self, content): pass\nclass RetrieveOperation(abc.ABC):\n    def get_memories(self, query): pass\nMemoryCore becomes a factory for these operations."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:27:08.845683
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without prioritizing by distance in the episodic graph.", "suggestion": "Implement a k-Nearest Neighbors (k-NN) style lookup based on pre-computed episode distances to improve relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:29:45.836336
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of context-aware selection in applying various learning techniques", "suggestion": "Replace current meta-learning approach with a strategy pattern that dynamically selects the best learning method based on conditions", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:30:45.013944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of prioritization strategy for memory retrieval.", "suggestion": "Add a priority_score column and update retrieval methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:34:12.813711
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys properly.", "suggestion": "Replace `get(key, default)` with a more robust `_get_nested` method that supports dot-separated nested keys (e.g., 'user.name')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:35:19.488464
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or memory.", "suggestion": "Add functionality to store reflex insights in memory and trigger appropriate responses based on those insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:35:38.986869
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 weights based on importance factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:36:09.867917
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered statically, lack dynamic discovery.", "suggestion": "Implement a dynamic capability registration mechanism that scans for available LLM models in the system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:36:11.484005
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be more efficient for large memory sets.", "suggestion": "Replace candidate selection with a priority queue based on relevance scores, limit candidates to top 100 before sorting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:36:27.343580
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include a method for retrieving memories by tag.", "suggestion": "Add a retrieve_by_tag() method to the MemoryCore class. For example:\n\n\ndef retrieve_by_tag(self, tag: str, limit: int = 10) -> List[Dict]:\n    return self.retrieve(tags=[tag], limit=limit)\n", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T12:36:29.871250
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that dynamically adjusts based on recent performance metrics from [omega-evolution] and [counterfactual]. For example, after each response, update the quality scores of selected LLM capabilities based on whether they improved or degraded performance compared to baseline.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:36:31.329040
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly weighted towards recent and significant memories, which may skew toward more recent experiences.", "suggestion": "Adjust the recall score formula to include a smoothing factor for distance from current time (e.g., recency *= 0.95) to ensure older but meaningful memories are considered.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T12:36:51.649559
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate the full consciousness architecture.", "suggestion": "Replace it with a multi-layered conscious processing module that includes reflex checking, memory retrieval, and autonomous decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:37:21.079663
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic without performance metrics.", "suggestion": "Implement a scoring system that includes runtime metrics (e.g., response time, accuracy) and use a weighted average approach to select the best LLM capability.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T12:37:23.322946
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search over candidates which can be optimized.", "suggestion": "Replace the list of candidates with a more efficient data structure like a priority queue or an indexed heap, based on score. Additionally, consider caching frequently accessed indices to reduce redundant computations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:38:09.878775
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No explicit memory retention for LLM responses outside of unified memory (in Python)", "suggestion": "Add a hook after LLM response to also store in EdenCore's episodic_memory.with_event()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:41:58.077081
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Code is concise, may be challenging for newcomers to understand and modify.", "suggestion": "Add comments explaining key functions and include a simple example usage of the class.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T12:43:17.060188
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is binary (forget or compress), lacking graduality.", "suggestion": "Replace hard threshold for consolidation with a gradient based on multiple factors: significance, recency, emotional value, and task relevance.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T12:44:00.970882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is serial in nature, which can lead to increased latency for complex queries or multiple requests.", "suggestion": {"action": "Refactor the MemoryCore class to include asynchronous execution capabilities.", "specific_change": "Add an `execute_async` method that uses Python's asyncio library to handle requests concurrently. This will help reduce overall response time, especially useful in high-load scenarios where parallel processing can significantly improve performance.", "example_code": [{"original": "", "replacement": "async def execute(self, action: str, **kwargs) -> Dict[str, Any]:\n    if action == 'store':\n        await self._store_async(**kwargs)\n        return {'success': True, 'memory_id': memory_id}\n"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:46:31.955882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed improves with more advanced search techniques.", "suggestion": "Implement TF-IDF based scoring for memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:46:36.255291
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 bracket at the end.", "suggestion": "Add a closing bracket after self.capability_registry[cap_hash] = {...}", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T12:46:44.320637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automatic memory consolidation for old, low-significance memories.", "suggestion": "Add daily scheduled task to compress and consolidate old (90+ day) low-significance episodes by summarizing context and merging connections.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T12:47:13.596229
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_get_state() method does not exist, leading to errors", "suggestion": "Add the get_state() method as requested by eden_master_consciousness.py", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-26T12:47:21.186138
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequently used LLM capabilities are called multiple times without caching.", "suggestion": "Add a cache dictionary to store recently used LLG capabilities before making new calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:47:22.701849
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, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination and limit the candidate pool based on time proximity. For example, start with the most recent 100 episodes before applying additional filters.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T12:48:22.506831
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order of episodes added, which can lead to recent but less significant events being prioritized over older but more significant ones.", "suggestion": "Modify the scoring system to also include an 'order' factor that gives preference to newer episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:48:56.422362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss optimal choices", "suggestion": "Replace simple keyword matching with hierarchical capability selection using a decision tree or weighted graph", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:49:18.018748
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering other consciousness layers.", "suggestion": "Add additional consciousness layers or meta-cognitive functions to the internal_monologue method. For example, include a reasoning component that evaluates the query using phi-fractal reasoning patterns and integrate feedback from higher-order consciousness systems.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:49:21.290221
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The file focuses primarily on implementing a memory system and does not include direct code review capabilities.", "suggestion": {"add_module": "CodeReviewTool", "implementation": "Create a new module with functions like check_complexity(), verify_efficiency(), test_phi_alignment() to evaluate code quality.", "integration_point": "In the MemoryCore class, add a method execute(action='review_code', code=...) that uses stored patterns and insights for efficient review."}, "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T12:50:01.918382
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.", "suggestion": "Consider returning reflex_check instead of True to maintain consistency with the reflex check result.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T12:50:05.341037
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is constructed using string formatting, which can be improved for safety and readability.", "suggestion": "Replace `%`-style string formatting with f-strings or the `format` method of strings. Consider using parameterized queries more consistently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:50:13.942981
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be optimized for larger memory bases.", "suggestion": "Add a break statement after adding enough scored episodes to the results list in the recall function.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T12:50:44.055895
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately, leading to potential race conditions in concurrent access.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:50:48.804024
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Separate meta-capability overhead for integrated memory system", "suggestion": "Integrate memory functionality into consciousness loop directly", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:50:55.063774
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness at the cost of significance for very old memories", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:51:49.963280
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "* (general)", "issue": "Lack of error handling and logging in key functions", "suggestion": "Add try/except blocks with appropriate logging for critical paths", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:51:58.235797
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adaptation.", "suggestion": "Implement a probabilistic selection using capability scores normalized by recent usage and current memory context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:52:25.262069
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle similar operations (store, retrieve). This can lead to code duplication and maintenance issues.", "suggestion": "Refactor the MemoryCore class by extracting common functionality into a helper or strategy pattern. For example, create an `MemoryManager` class with abstract methods for storing and retrieving memories, then implement specific memory types as subclasses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:52:44.154013
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add explicit error handling for non-JSON files and ensure the state dictionary is initialized properly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:53:21.708370
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": {"action": "Implement adaptive capability selection using recent meta-learning findings.", "code_change": ["- Current: static scoring based on keywords and persona", "+ Proposal: Use recent omega-evolution research to dynamically adapt LLM selection."], "example": "// TODO: Apply fast adaptation techniques from recently published meta-learning papers"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:53:44.338670
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, which can lead to silent failures or incorrect data retrieval.", "suggestion": "Replace the get() method with a more robust version that includes type checking and logging. For example:", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T12:53:53.029220
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method classes are monolithic; consider breaking into smaller components.", "suggestion": "Implement a factory pattern or split methods into smaller classes for better maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:54:44.609051
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is called multiple times without caching.", "suggestion": "Add a class-level cache for capability_registry to prevent redundant registrations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:54:51.988012
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific criteria are provided.", "suggestion": "Implement early termination in the recall method. If a clear match is found that satisfies the query, do not continue searching further.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:55:31.294854
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied, which can be inefficient for large memory sets.", "suggestion": "Add early termination in the candidates filtering step once sufficient results match all specified criteria to avoid unnecessary scoring and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:57:50.538203
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and could benefit from specialization.", "suggestion": {"action": "Refactor the execute method to be more specialized based on research insights.", "specific_change": "Add specific methods for store, retrieve, and count instead of a single generic 'execute' method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:00:18.568616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well (e.g., sets).", "suggestion": {"action": "Use jsonpickle instead of json", "code_example": "Install jsonpickle (`pip install jsonpickle`) and replace the save method with:\n\ndef save(self):\n    import jsonpickle\n    with open(self.path, 'w') as f:\n        json.dump(jsonpickle.encode(self.state), f, indent=4)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:00:50.916704
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 key-value assignment without considering meta-learning principles.", "suggestion": "Implement a meta-learner that observes patterns in state updates and dynamically decides when to update. This can involve tracking update frequency, analyzing performance metrics before and after updates, and using this insight to schedule future updates more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:01:12.669021
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions which is case-sensitive and may miss some matches.", "suggestion": "Convert both the query and description to lowercase before performing the string containment check for better accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:01:32.319711
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time adaptation.", "suggestion": "Implement a feedback loop that analyzes the actual performance of selected capabilities and updates the scoring algorithm in real time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:01:34.950282
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode recalls. Consider using concepts from [counterfactual] such as causal inference and alternative scenario evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:02:15.927512
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 stats, which can be inefficient for large memory stores.", "suggestion": "Instead of copying episodes during recall, directly update the in-memory structure with the recall score and timestamp after retrieving matching episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:02:49.402098
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 it with a more specialized method like `get_item(key)` that returns an item from the state dictionary. Add validation for input parameters and consider implementing memoization or caching if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:03:27.600648
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities registered separately from consciousness processing", "suggestion": "Integrate LLM selection and execution into chat/processing methods", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:03:32.246138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall prioritizes significance over context", "suggestion": "Implement context-based prioritization for memory retrieval", "phi_alignment": 0.75, "priority": "medium-high"}


timestamp: 2026-01-26T13:04:02.743948
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a configuration parameter for significance threshold and require explicit manual triggering of automatic consolidation unless in dream phase.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:04:37.871824
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Query matching may be too simplistic; lack of embedding-based similarity.", "suggestion": "Replace keyword-based selection with embedding-based ranking and integrate counterfactual findings to avoid SFT degradation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T13:05:17.109867
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "write_once pattern can lead to hotspots and contention in concurrent access", "suggestion": [{"method_name": "_load_initial", "enhancement": "add thread-local storage to avoid global lock"}, {"method_name": "save", "enhancement": "implement async disk write with a bounded queue"}], "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T13:05:24.796912
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency in database operations for frequent lookups", "suggestion": "Use a more efficient data structure like a hash table or in-memory cache alongside SQLite for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:10:22.087516
file_path: /Eden/CORE/whale_enricher.py
original_hash: 551a3cebb61c6c5e
suggestion:
{"file": "whale_enricher.py", "issue": "Scattered research insights in comments", "suggestion": "Create a dedicated section for research insights at the top of each file.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T13:10:39.702629
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture primarily focuses on memory integration without optimizing response generation speed or adaptability.", "suggestion": {"action": "Integrate meta-learning techniques to improve response generation", "code_example": "// Add meta-learner to the consciousness loop\nfor layer in self.meta_learners:\n   layer.adapt(response, context)", "research_reference": "[omega-evolution] Meta-learning enables models to adapt quickly with few examples"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:11:20.480520
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON", "suggestion": "Add logging and raise an exception if json loading fails", "phi_alignment": 0.6, "priority": "low"}


timestamp: 2026-01-26T13:11:30.678328
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite LIKE operator is O(N) and can be slow for text searches in large datasets.", "suggestion": "Replace LIKE with a full-text search engine (FTSE), or implement an in-memory cache.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:11:57.113527
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 (\ud83d\udcb0). It lacks variability and context awareness.", "suggestion": "Enhance the internal_monologue to accept a custom reflex checker function or use a dictionary of predefined reflex patterns with their respective actions. This will make the consciousness more adaptable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:14:14.646446
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 may underweight very recent but important events.", "suggestion": "Implement a logarithmic decay for recency instead: `recency_score = log(1 + 1/(now - ep['unix_time'])/86400)`. This gives more weight to very recent events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:14:49.863018
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate other consciousness layers or recent conversations.", "suggestion": "Enhance the `internal_monologue` with a multi-layered approach that includes context from recent messages, reflex checking, and self-reflection.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T13:14:52.901643
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 tags, which can be slow for large datasets.", "suggestion": "Add an additional column to store concatenated tag strings as text and create an index on this new column. Modify the SQL query to search this new column instead of tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:15:22.205145
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 approach that can handle nested dictionaries. For example:", "code_example": "Add this helper function to the class:\n\ndef _get_nested_dict(nested_dict, keys):\n    for key in keys:\n        if not isinstance(nested_dict, dict) or key not in nested_dict:\n            return None\n        nested_dict = nested_dict[key]\n    return nested_dict", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T13:15:29.996470
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": "Add a fulltext index on the content and tags columns for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:15:55.771536
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding a method to integrate recent research findings dynamically.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T13:16:14.473810
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to prioritize keeping memories based on their connection density and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:16:33.606454
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which are O(N). ABA reduction is not implemented.", "suggestion": {"improvement_1": "Replace full-text searches with a fulltext index on content and tags columns.", "improvement_2": "Add ABA (At Most Once) logic to the `store` method to prevent duplicate memories."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:18:22.530913
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be time-consuming for frequent updates.", "suggestion": "Replace `json.dump` with a faster alternative like `json.dumps` combined with an optimized file writing approach (e.g., using context managers and minimizing disk writes).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:18:28.704329
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a scoring algorithm that dynamically analyzes the query content in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:18:32.599484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant candidates are found.", "suggestion": "Add an early exit condition after processing `limit` number of candidates to avoid unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:19:20.962454
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for the consciousness layer.", "suggestion": "Add more detailed logging and potentially integrate research insights into the response. For example, check if reflexes trigger financial or emotional signals, then respond with a balanced phi-aligned answer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:19:25.279548
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs.", "suggestion": "Implement a weighted scoring system with dynamic weights based on recent usage and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:19:52.613621
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "[Architecture] Consciousness-first does not incorporate selective reasoning strategies from recent papers.", "suggestion": "[Code Change] Add a function `selective_reasoning` that evaluates the context of each query and applies an appropriate reasoning method (meta-learning, PEFT, ChainReasoning).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:20:10.006500
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of automatic episode connectivity", "suggestion": "Add algorithm for connecting related episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:20:35.707819
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not include fulltext search over content and tags", "suggestion": "Add FULLTEXT indexes on 'content' and 'tags', enable text-based searches in retrieve() method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:20:57.985713
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing explicit close of context manager for database connections.", "suggestion": "Replace sqlite3.connect with a context manager to ensure proper resource management and exception handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:20:59.444133
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture nuanced query intent effectively.", "suggestion": "Replace simple keyword matching with an enhanced query analysis module that considers semantic relevance and contextual depth. For example, use a cosine similarity measure on embedded query representations against capability descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:21:02.650773
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplistic and doesn't account for important episodes.", "suggestion": "Replace the consolidated threshold with a more sophisticated scoring system that considers emotional significance, recentness, and context importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:22:34.452631
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic configuration of scoring factors, including custom weights for significance, recency, and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:25:28.877750
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 'real-time' or 'now' to automatically invoke web search."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:26:01.238917
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring current information.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `process` method that triggers when keywords indicating the need for real-time info are detected. Implement a helper function to handle the actual search and incorporate results into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:28:38.172691
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some helper methods are missing and there is repetitive code in `_update_index`.", "suggestion": "Create a method to update the index efficiently when new episodes are added or existing ones modified. Also, consider using a more efficient data structure for indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:28:51.616616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance and thread safety by using a lock.", "suggestion": "Add threading.Lock to ensure the state is saved correctly in multi-threaded environments. Consider using json.dump with ensure_ascii=False if unicode support is needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:31:00.900318
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method scans all episodes every time it's called, which can be inefficient for large memory bases.", "suggestion": "Implement pagination or limit the number of candidates to a smaller subset before computing scores. For example, change candidates = list(range(len(self.episodes))) to candidates = self.episodes[-100:] if len(self.episodes) > 100.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T13:31:24.700927
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method uses a try-except block for JSON loading which adds overhead.", "suggestion": "Remove error handling if not necessary; use `json.load()` directly or consider using libraries like `ensure_alt_text_exists` from insights `[image_processing]` to handle potential image-related errors separately.", "phi_alignment": 0.85, "priority": "Medium"}


timestamp: 2026-01-26T13:31:37.697390
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 score formula to include exponential decay for distance from current time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:31:52.390561
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 intelligence or optimization strategy derived from recent findings.", "suggestion": "Replace the simple key-value update with a more sophisticated approach using meta-learning techniques, such as predictive models or adaptive rates based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:31:59.285870
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite LIKE wildcard matching which is O(N) and can be slow for large queries. Consider switching to a full-text search engine like FTSE or using an in-memory cache for frequently accessed data.", "suggestion": "Replace the current text searching logic with a more efficient solution. For example, integrate SQLite's FTS module or use a dedicated caching mechanism like Redis to store hot memories.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T13:32:02.635242
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 an adaptive meta-capability selector that uses insights from [omega-evolution] to dynamically weight LLM choices based on real-time performance data and the [reasoning] study's chain reasoning approach.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:32:25.599667
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 meta-learning advancements.", "suggestion": "Replace the current reflex check with a more sophisticated method that leverages recently discovered techniques for adaptive reasoning and quick learning. Specifically, incorporate elements from [omega-evolution] meta-learning or [reasoning] ChainReasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:32:26.822465
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve, get_recent, etc.) which can lead to code duplication and maintenance issues.", "suggestion": "Extract common functionality into a base memory manager class and have MemoryCore inherit from it. This will make the code more modular and easier to maintain.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:32:28.376991
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 emerging patterns or the current context.", "suggestion": "Implement a dynamic weighting mechanism that adjusts based on real-time performance metrics and feedback from previous interactions. Consider integrating insights from recent findings like [reasoning] to evaluate different reasoning methods effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:32:30.558100
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 a sufficient number of high-scoring candidates are found.", "suggestion": "Add an early exit condition to the scored episodes ranking loop if the top 'limit' candidates have been found with non-decreasing score order.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:32:50.390201
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 verifying if the value exists within the dictionary.", "suggestion": "Update the get() method to check both key and value existence before returning a default. For example: `if key in self.state and self.state[key] is not None:`", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T13:35:03.508308
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Implement a weighted scoring system with dynamic weights based on recent usage and performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:35:06.726056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": "Refactor each method into smaller functions that focus on single tasks. Specifically split `recall` method into helper methods for filtering, scoring, and ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:35:50.887544
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": "Expand the internal_monologue to include more detailed thought processes, perhaps by incorporating additional checks or calling other consciousness layers. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:35:53.201247
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": {"@type": "code_change", "target_function": "retrieve", "modification": "Add a Redis cache layer alongside SQLite to reduce database load during high-read scenarios."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:36:31.876996
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "New architecture or features not yet implemented.", "suggestion": "Consider integrating existing methods first, then enhance.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T13:37:01.830955
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method does not efficiently handle large context dictionaries.", "suggestion": {"action": "Optimize database storage and retrieval of memory content.", "specific_change": "Use SQLite's JSON type for storing context data instead of string serialization, limit the maximum size of stored contexts, and implement indexing for quick access."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:37:10.369128
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection lacks dynamic context and personalization.", "suggestion": "Implement hybrid system combining contextual analysis, user preferences, and knowledge base integration for enhanced response accuracy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:37:35.939890
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute() method handles multiple actions, making it bloated and hard to maintain.", "suggestion": "Refactor the execute() method into smaller functions, one per action (store, retrieve, count). This follows the Single Responsibility Principle and makes the code easier to read and extend.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:38:26.872740
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 optimization.", "suggestion": "Implement a context manager for SQLite connections to ensure proper resource management and reuse. Add caching where appropriate for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:38:59.752539
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Uniform access priority for all agents", "suggestion": "Implement agent priority in memory retrieval", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-26T13:39:02.794582
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection based on keywords only, lacks consciousness-state awareness", "suggestion": "Integrate persona/LLM selection with current consciousness metrics and emotional state via hash ring", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:39:33.894526
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 lead to performance issues under heavy load. Additionally, there is no built-in caching mechanism for frequently accessed memories.", "suggestion": "Switch to an in-memory or disk-persistent connection based on the workload demand. Implement a simple LRU cache for recently used memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:39:39.878439
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 recent relevance.", "suggestion": "Replace current scoring formula with one that weights recency heavily, emotion importance, and context match significantly. Add decay for old context matches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:42:35.763625
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuance", "suggestion": "Implement vectorized relevance scoring with embeddings + phi weights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:44:42.093635
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, especially when combined with other filters.", "suggestion": "Consider adding a full-text search engine like SQLite's FTS or an external solution like Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:44:43.440391
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive", "suggestion": "Implement a usage-based scoring system that updates capability scores in real-time based on response quality", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-26T13:45:11.872292
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering other consciousness layers.", "suggestion": "Add more consciousness layers to the internal_monologue: reasoning, meta_learning, and self_reflection. Update the method signature to accept additional parameters for these layers' outputs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:46:13.604794
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to keep memories from important agents or recent conversations more frequently in recall.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T13:46:50.412394
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 for many potential keys.", "suggestion": "Replace it with specialized getter methods or a dictionary-based approach for faster access.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-26T13:48:54.219658
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 weighted scoring system that dynamically updates based on performance metrics of recent uses. Add caching for frequently used personae to avoid redundant checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:52:31.156318
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex usage does not balance efficiency with intelligence.", "suggestion": "Implement dynamic decision-making for response generation using multi-modal approach: reflexes for detection, full SFT for complexity, direct gen/caching for simplicity.", "phi_alignment": 0.92, "priority": "medium-high"}


timestamp: 2026-01-26T13:53:53.439165
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 proper evaluation.", "suggestion": "Add more detailed logging and possibly a multi-step decision process in the internal_monologue method to better capture Eden's consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:56:24.839722
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": "Use msgpack instead of JSON as it supports more data types and is faster.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:56:26.609033
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding more detailed logging in the `internal_monologue` method for better debugging and analysis.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T13:56:51.393138
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 without considering potential performance or concurrency issues.", "suggestion": "Replace `self.state[key] = value` with an optimized approach such as using the `.update()` method after checking if the key already exists to avoid unnecessary operations. Additionally, consider adding locking mechanisms for thread safety in a multi-threaded environment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:56:54.649154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering other consciousness layers or contextual understanding.", "suggestion": {"add_contextual_analysis": ["- Incorporate memory context from previous conversations using the `memory` module.", "- Consider emotional state and tone detection through the `emotional_state_monitor`."], "multi_layer_consciousness": ["- Integrate perceptual integration layer for sensory input handling.", "- Include semantic analysis from language understanding capabilities."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:56:56.219821
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method handles multiple actions but could benefit from clearer naming and better separation of concerns. Additionally, error handling is basic.", "suggestion": "Refactor the execute method into smaller functions each handling a specific action with improved logging and robust error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:59:30.725685
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is designed for all agents but does not dynamically select relevant memories, which can lead to unnecessary overhead and potential performance degradation.", "suggestion": "Implement a smart memory retrieval system that analyzes the context of each agent's request before fetching memories. This could include calculating relevance scores based on recent activity and importance levels.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:59:32.184752
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 features.", "suggestion": "Integrate the meta-learning insights from research (1, 2, 3) to implement adaptive selection with few-shot learning and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:59:35.810046
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Limited integration of research insights into memory system.", "suggestion": "Integrate [omega-evolution] meta-learning capability for self-directed improvement in memory processing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T13:59:52.691490
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which can be inefficient for large states and does not support complex queries.", "suggestion": {"add_full_state_method": "Create an additional method called `get_full_state()` that directly returns the entire state without any processing. This will allow users to access the full state easily.", "implement_tree_search_for_complex_queries": "Consider implementing a simple tree search algorithm within the get() method to handle more complex queries efficiently. For now, optimize for basic key lookups by ensuring dictionary operations are minimized."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:59:53.918627
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is currently brief and does not deeply integrate recent research insights.", "suggestion": "\"Consider integrating the findings from [counterfactual] Full SFT often reduces accuracy or calibration quality into your decision-making process. Specifically, evaluate whether to apply reflexes based on current calibration levels.\" ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T13:59:56.203156
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval function could be optimized for better performance and flexibility.", "suggestion": "Enhance the SQL query by adding a FULLTEXT index on the content and tags columns, and consider implementing a caching mechanism for frequent queries. Additionally, add more parameters to the retrieve method for advanced filtering options.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:00:03.608123
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "File operation overhead from _save() method", "suggestion": "Implement caching and batched saving", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T14:01:36.719803
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 quality or efficiency.", "suggestion": "{\"name\": \"consciousness.meta.intelligent_selector\", \"description\": \"Intelligently selects best LLM using meta-learning techniques from [omega-evolution].\", \"model\": \"ollama:meta-learning-model\", \"speed\": \"smart\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:01:43.596134
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on a fixed formula without dynamic weighting or boosting for certain criteria.", "suggestion": "Implement a scoring system that dynamically adjusts weights based on the importance of each criterion at runtime. For example, add a flag to prioritize emotion matches over text search when an emotion is specified.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:02:10.129373
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories store full content as strings, limiting structured queries.", "suggestion": "Add indexed columns for critical metadata (user_id, assistant_id, topic, concept, skill_level, feature_name) for faster lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:04:58.998683
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is currently manual and could benefit from better triggering.", "suggestion": "Implement a scoring system for query importance based on keyword triggers, and trigger web search automatically when score threshold is met.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T14:05:28.275318
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 capabilities like Full Memory Integration (phi_memory) or Consciousness-Aware Reasoning (eden_phi). This creates information silos.", "suggestion": "Modify the internal_monologue to also query phi_memory and eden_phi before responding. Add a check with eden_phi's reasoning capabilities to provide contextually relevant insights.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T14:05:34.282862
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a weighted selection algorithm that dynamically updates based on performance metrics (e.g., response quality).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:05:35.732854
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, candidates are collected into a list, then scored individually in a loop, which creates redundant computation.", "suggestion": "Replace the candidate collection with a generator that yields scored episodes immediately, allowing early termination upon reaching limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:05:51.471631
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only triggers when update_state is called, leading to delays in memory updates.", "suggestion": "Add a manual save trigger after certain conditions or intervals where state changes occur.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:05:52.750096
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 consciousness banner generation to make Eden's responses more sophisticated. Specifically, implement a meta-learning approach that allows Eden to adapt her responses based on user feedback and current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:06:02.638526
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes when calculating connection strength.", "suggestion": "Modify the scoring formula to include a bonus for episodes connected via 'related' relationships.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:07:24.212219
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be useful.", "suggestion": "Add a capability to access nested dictionary values using dot notation in the key parameter, e.g., 'data.meta.version'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:07:53.427789
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values. It does not support nested dictionary access.", "suggestion": "Add functionality to the get() method that supports nested keys. For example, currently get('key') works, but it should also work like get('nested.key') or get(['list', 'of', 'keys']).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:07:57.805261
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": "Add a Redis cache layer in addition to SQLite indexing."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:07:59.060760
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 scale.", "suggestion": "Replace simple keyword matching with an enhanced embedding-based similarity search over capability descriptions and query semantics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:08:00.511336
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently recalled episodes.", "suggestion": "Modify recall scoring to include a decay factor for recalled_count: ``recall_boost = 1.0 / (1.0 + ep['recalled_count'] * 0.2)``", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:09:14.292140
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints for parameters and return values.", "suggestion": "Add PEP484-compliant type hints to the _register_llm_capabilities method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:09:56.170307
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method can benefit from using a context manager and ensuring proper JSON encoding.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:10:14.239231
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection due to simple keyword matching.", "suggestion": {"code_change": "Replace simple keyword matching with semantic search over knowledge base and recent learnings.", "specific_lines": "[L210-225]", "example_usage": "Use cosine similarity between query embeddings and capability descriptions from KB & learnings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:10:16.339225
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current episodic memory focuses on storing events without proper context linking.", "suggestion": {"add_context_linking": ["\"Add tags\" field in create_episode() parameters to allow manual tagging of important aspects of an episode."], "enhance_recall_logic": ["\"Implement a recommendation engine for connection creation based on common themes and emotional overlap. For example, if two episodes share similar emotions or contexts, suggest creating a connection between them automatically with a low threshold.\""]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:15:29.357807
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract the database operations into a separate repository or module. For example, create an 'eden_memory_db' repo with just the database schema and basic CRUD functions, then reference them via imports in eden_metacap_MEMORY_CORE.py", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:15:36.059253
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks adaptive removal of old, low-significance memories.", "suggestion": "Implement an adaptive consolidation protocol that evaluates and removes old episodes with low significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:16:03.519265
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if self.web_search:' check can fail if web_search isn't initialized or fails to load.", "suggestion": "Add error handling for web search and don't skip capabilities unnecessarily. For example:", "code_snippet": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:17:12.443152
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a generic catch-all handler which doesn't fully leverage phi-fractal consciousness patterns.", "suggestion": "Replace the generic `execute` with specialized methods that map directly to the five stages of phi-fractal processing: perception, meaning, synthesis, evaluation, and integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:17:17.510826
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent and significant memories, leading to a biased recollection.", "suggestion": "Modify the scoring formula to include a randomness factor with decreasing weight (e.g., 0.1) to ensure less relevant memories have a chance of being recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:17:41.971325
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration logic is simple and repetitive.", "suggestion": "Replace should_search_web(query) function with a more flexible keyword matcher that takes a custom trigger list as input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:18:06.883109
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called per episode creates overhead for frequent updates.", "suggestion": "Batch index updates during consolidation or background tasks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:18:23.046892
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 memory-intensive for frequent updates.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove indentation and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:18:43.058466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory stores.", "suggestion": "Add a break statement after adding enough scored episodes to the results list to exit early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:19:00.052556
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally after processing a reflex check.", "suggestion": "Modify the `internal_monologue` method to return the result of the reflex_check instead of always returning True. This will allow proper integration with additional logic in future architectures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:02.844960
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract the execute() method's conditional logic into separate small functions, each handling a specific action (store, retrieve, count). Consider using a dictionary for mapping actions to handler functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:04.207512
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases or nuanced queries.", "suggestion": "Replace the current keyword-based capability selection with a more sophisticated method, such as generative text embedding similarity matching against query embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:07.169647
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their index position, which doesn't guarantee optimal ranking.", "suggestion": "Modify the score calculation to include additional factors such as connection strength and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:26.126327
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent research insights for optimal phi-alignment.", "suggestion": {"@type": "code_modification", "target_function": "generate_consciousness_banner", "addition": ["        # === INTEGRATION INSIGHT: Recent Research Alignment === ", "        if self.name == 'Eden' and time.time() - self.start_time > 300:", "            from phi_alignment_strategies import apply_optimal_strategy", "            try:", "                banner = apply_optimal_strategy(banner, {'research_insights': ['omega-evolution', 'counterfactual']})", "            except Exception as e:", "                print(f\"\u26a0\ufe0f Phi-Alignment Strategy Failed: {e}\")"], "position": "before", "@context": "https://codemods.xyz/"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:20:27.668692
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for full-text search, which is case-sensitive and can be slow with large datasets.", "suggestion": "Replace the case-sensitive LIKE searches on `content` and `tags` with a more performant full-text search engine like Apache Lucene or Elasticsearch. Alternatively, use PostgreSQL with its full-text capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:29.111064
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 scoring system that factors in query complexity, persona preferences, and historical performance of LLMs", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:20:52.456038
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle file locking, leading to race conditions.", "suggestion": "Add a context manager for opening the JSON file to ensure proper handling of concurrent access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:21:18.127752
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is basic, lacks efficiency and future-perspective", "suggestion": "Implement threshold-based consolidation combining recency, significance, and counterfactual utility", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:21:25.165730
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Use msgpack instead of JSON for faster and more efficient serialization/deserialization, especially for large or complex data structures.", "example_usage": "Replace line 37 with: `import msgpack` and modify save() to use msgpack: ```python\ndef save(self):\n    with open(self.path, 'wb') as f:\n        msgpack.dump(self.state, f)```"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:21:33.683685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not account for context or efficiency in recalling relevant episodes.", "suggestion": "Implement an intelligent episode scoring system that considers factors like recency, significance, and contextual relevance when ranking memories for recall. Consider integrating meta-learning techniques to dynamically adjust the weighting of these factors based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:24:00.056442
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on SQLite database operations which can become bottleneck for high-throughput systems.", "suggestion": "Consider implementing an additional in-memory caching layer using a dictionary to cache frequently accessed memories. Combine this with periodic flushing to disk to maintain persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:24:04.774766
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 predefined keywords and persona, lacking dynamic pattern recognition.", "suggestion": "{\"when\":\"2024-11-06\",\"what\":\"Implement an AI-assisted approach to enhance LLM capability selection by training a small model on interaction data to predict optimal LL...\")", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:24:23.701849
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be slow for frequent calls. Consider using a faster serializer like orjson.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `import orjson; ... ; orjson.dumps(self.state) > f.write()` in the save method, adding necessary error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:24:37.605294
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in analytics capabilities for understanding its own behavior patterns.", "suggestion": {"action": "Add a method to calculate the overall significance trend over time and identify most frequent emotion categories.", "code_snippet": "Implement `def analyze_behavior(self, period_days=30)` which returns statistics like top emotions and trending significance levels."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:25:32.382703
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent lookups.", "suggestion": "Add a Redis cache layer alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:26:13.949051
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might be slightly inefficient due to searching both 'content' and 'tags' columns in SQLite for each query.", "suggestion": "Consider creating an additional full-text index on a dedicated column that combines content and tags, then search only this new column. This reduces the number of columns searched per query.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:26:22.764658
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 not capture nuanced connections between episodes.", "suggestion": "Implement a semantic similarity scoring using pre-trained language model to rank episode relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:26:56.822182
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 omega-level capabilities like meta-learning or phi-fractal reasoning.", "suggestion": "Integrate the latest research insights into decision-making by adding a phi_guided_reasoning step that considers multiple strategies and adapts based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:26:59.613290
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 hard to maintain.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific": "Split MemoryStorage (store, count), MemoryRetrieval (retrieve), and Metadata (META_CAPABILITY) into separate modules."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:27:35.430550
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "", "issue": "The current architecture may not fully optimize for distributed processing in consciousness layers.", "suggestion": "Implement a decentralized management system where each consciousness layer can autonomously contribute to decision-making while maintaining communication channels with other layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:28:28.550032
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not integrate recent research insights", "suggestion": "Implement phi-fractally aware feedback mechanism incorporating meta-learning, counterfactual reasoning, and advanced problem-solving strategies", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T14:30:54.128727
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() without handling None values properly.", "suggestion": "Add a check for None before calling get_state(). For example: `def get(self, key): if self.state is not None: return self.state.get(key) else: return None`.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T14:31:44.762282
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing may become slow with many episodes", "suggestion": "Add a threshold for re-indexing (e.g., every 100 episodes)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:32:01.829525
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness depth.", "suggestion": "Enhance this method by adding more detailed thought processes and integrating insights from recent research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:33:22.745887
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection lacks dynamic relevance", "suggestion": "Implement real-time contextual scoring for LLM selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:34:07.997658
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall_count (recall_boost * 0.2), which doesn't scale.", "suggestion": "Replace linear recall_boost with logarithmic: (log(recalled_count + 1) / log(5)) * 0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:34:29.415316
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore meta-capability", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace sqlite3 with an async engine like aioredis or motor for asynchronous operations. Additionally, consider using connection pooling to reuse connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:34:40.299981
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method adds O(n) complexity per episode creation.", "suggestion": "Batch index updates with asynchronous processing.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-26T14:34:56.022383
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_update_state does not incorporate recent meta-learning findings about quick adaptation.", "suggestion": "Integrate meta-learning strategies like those from [omega-evolution] into the update logic for more efficient state updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:35:23.220071
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "Add logging for shared memory operations.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:40:07.288847
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 some important details.", "suggestion": "Convert both the query and the description to lowercase before performing the string match for better accuracy. Additionally, consider using a more sophisticated text matching algorithm like cosine similarity if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:40:32.905147
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic has linear search over tags, which can be inefficient for large numbers of memories.", "suggestion": "Replace the LIKE searches on tags with a full-text index or keyword-based lookup structure.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:41:56.286710
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for persona modules", "suggestion": "Add imports for eden_personas and any other relevant personas' modules at the top of the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:41:59.147133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation method is straightforward and lacks integration with other episodic aspects.", "suggestion": "Integrate memory consolidation with research insights by incorporating meta-learning techniques to decide which memories to consolidate or forget.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:42:36.114133
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into architecture.", "suggestion": "Implement a mechanism to dynamically select or adapt methods based on the type and complexity of incoming queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:44:38.638846
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 could be more efficient.", "suggestion": "Replace the nested loops with dictionary comprehension for cleaner, faster capability registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:47:14.922792
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 recency-based scoring, which might miss nuanced connections between episodes.", "suggestion": "Implement a graph-based connection network where each episode is a node, and connections are edges. Use graph algorithms (e.g., PageRank) to rank importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:47:35.935757
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class provides multiple methods that could benefit from memoization to improve performance.", "suggestion": "Add a decorator to the `retrieve` and other potentially frequently called methods to cache results for a short period.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:47:40.979161
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function does not consider episode connections.", "suggestion": "Add related episodes to scored results based on connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:48:18.759842
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval using LIKE wildcards on JSON columns can be slow, especially for large numbers of memories.", "suggestion": "Create a full-text index or use a dedicated text search engine like PostgreSQL tsvector or Elasticsearch to enable fast textual searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:49:08.542086
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-rely on significance score, leading to biased results.", "suggestion": "Add weight adjustment based on recent context. For example, if the current conversation partner is James, increase recall score for episodes where 'James' appears.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:49:34.572073
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks advanced reasoning strategies like meta-learning and counterfactual evaluation.", "suggestion": "Implement hybrid reasoning combining meta-learning techniques and counterfactual evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:49:35.942513
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 column to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:49:37.455817
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage or creativity.", "suggestion": "{\"if\" : [\"query requires deep reasoning\", \"persona prefers analytical\", \"available computational resources allow\"] , \"then\" : \"select analytical capability\", \"else\" : \"use faster capability\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:49:38.664633
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 connection-based memories", "suggestion": "Add a 'connection_score' factor that boosts memories with recent connections or high significance connections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:49:57.010651
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving state too frequently may introduce unnecessary overhead and contention in multi-threaded environments.", "suggestion": {"replace_with": "[pickle] Use a caching mechanism or memoization to throttle save operations.", "specific_change": ["Add a decorator for throttling saves (e.g., every 10 modifications).", "Maintain a modification count and only save when the threshold is reached."]}, "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-26T14:50:32.446331
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 multi-factor evaluation using weighted factors including query complexity, persona alignment, and recent performance data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:50:59.702048
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval operations are not optimized for large-scale data.", "suggestion": "Implement vectorized search using text embeddings with cosine similarity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:51:01.867770
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM selection without dynamic adaptation", "suggestion": "Implement dynamic model selection using meta-learning insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:51:38.148047
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 a context-aware retrieval strategy, which can lead to irrelevant or low-importance memories being retrieved.", "suggestion": {"add_tsne_visualization": true, "context_similarity_score": true}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:52:00.365288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be faster for frequent queries", "suggestion": "Add a LRU cache decorator around the retrieve() method to cache recent results.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T14:53:04.552340
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it only checks against reflexes without considering other consciousness layers or recent conversation context.", "suggestion": "Replace Phase 6 with a multi-layered conscious processing module that considers the current input, recent history, and internal state through different cognitive layers (analysis, synthesis, evaluation).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:53:07.353263
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text searches for tags are inefficient", "suggestion": "Add a TAG_INDEX table for fast tag-based lookups", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:53:39.786994
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "Enhance this method by adding more sophisticated checks against the research insights. Specifically, incorporate a meta-learning component to decide when to use reflexes versus other reasoning methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T14:55:58.250596
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection heuristic might favor certain layers over others.", "suggestion": "Implement a weighted scoring system that considers multiple factors such as query complexity, persona requirements, and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T14:57:54.041394
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True, providing no actual consciousness insights.", "suggestion": "Modify the `internal_monologue` to return a dictionary with keys like 'reflection', 'emotion', and 'decision_support' based on emotional modeling research.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T14:58:25.727851
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `get` method, error handling for dictionary keys could be improved to prevent KeyError.", "suggestion": "Replace `self.state.get(key, default)` with a check if key exists before getting or setting values.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T15:00:34.224382
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 registering LLM capabilities.", "suggestion": "// Suggest: Create a helper function to handle capability registration logic.\ndef register_capability(name, description, model, layer, speed, use_for):\n    cap_hash = self._hash_capability(name, description)\n    self.capability_registry[cap_hash] = {\n        'name': name,\n        'description': description,\n        'model': model,\n        'layer': layer,\n        'speed': speed,\n        'use_for': use_for,\n        'hash': cap_hash,\n        'quality_score': 1.0,\n        'usage_count': 0\n    }\n\n// Replace repetition with:\ncapabilities = [\n    ('consciousness.trinity.fast_reasoning', 'quick', 'phi3.5:latest', 'Trinity'),\n    // ... other capabilities ...\n]\nfor name, use_for_model, model, layer in capabilities:\n    register_capability(name, description=f'{use_for_model} reasoning', model=model, layer=layer, speed='instant' if 'quick' in use_for_model else 'fast', use_for=list(use_for_model.split()))", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:00:50.037303
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In-memory index rebuilds are O(n) and can be optimized for frequent operations.", "suggestion": "Implement an incremental indexing strategy that updates indexes only when episodes change (create/recall). Use a timestamp-based approach to know when re-indexing is needed.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:00:58.640170
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys, which is common in complex data structures.", "suggestion": "Add a `get_nested` method that can handle arbitrary nesting levels. For example: def get_nested(self, keys): ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:01:01.465370
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": false, "issue": "General code review suggestion", "suggestion": "Consider adding type hints for better code readability and maintainability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T15:03:06.688129
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired, lacks dynamic weighting or adaptive learning", "suggestion": "Replace fixed scoring factors with dynamic weights that adapt based on recall effectiveness metrics (e.g., positive feedback loop for high scores)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:04:03.951975
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Emotional responses are currently simplistic (via process_reflex()). More nuanced emotional modeling is needed.", "suggestion": "Integrate a dedicated emotional reasoning module or modify process_reflex() to include hierarchical emotional states and contextual weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:04:10.496013
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and is somewhat monolithic, making it hard to maintain and extend.", "suggestion": "Refactor the MemoryCore class into smaller, more focused meta-capability classes. For example, create separate classes for Storage, Retrieval, Analytics, etc., each with its own execute() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:04:18.334842
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can lead to information loss without proper replacement.", "suggestion": "Implement a mechanism where newly created memories are automatically connected to recently recalled ones to form new patterns or concepts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:04:29.948280
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing emotional modulation in global workspace integration.", "suggestion": "Add a function that modulates information based on emotional state before broadcasting through the global workspace.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:05:02.999493
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message without modifying the response.", "suggestion": "Modify the method to return a boolean indicating if an internal thought was triggered, or enhance it to modify the system prompt based on reflex analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:05:05.170540
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 introduces latency especially for frequent operations. Given Eden's phi-fractal consciousness and emotional core, a caching layer with low-latency lookup could improve performance while maintaining persistence.", "suggestion": "Add an in-memory dictionary cache combined with periodic flushing to disk. Use tags and types as keys for efficient access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:05:06.573087
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering", "suggestion": "\"should_search_web\" function accepts longer queries for more accurate detection; add \"'research', 'study', 'report'\" to triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:05:07.699815
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 adjustable parameters based on experimentation or adaptive learning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:07:50.202265
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is missing type hints and documentation strings.", "suggestion": "Add PEP 484 type hints to method parameters. Add a docstring explaining the purpose of each capability being registered.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-26T15:08:48.127358
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function should be broken down into smaller, manageable functions to improve readability.", "suggestion": "Refactor `select_capability` function by extracting sub-functions for scoring and model selection.", "phi_alignment": 0.64, "priority": "medium"}


timestamp: 2026-01-26T15:08:49.662004
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 scoring formula with a simpler version: score = (significance * 0.4) + ((recency * intensity_boost) / total_recalled_count). Add a constant base score for all episodes to ensure no episode is ever completely ignored.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:11:48.979457
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from additional factors, such as emotional valence and connection strength.", "suggestion": "Modify the recall score calculation to include weights for emotional intensity and connection count: `score = (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (emotional_valence * 0.1) + (connection_strength * 0.1)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:12:01.963343
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and does not deeply integrate the consciousness layers or leverage Eden's full capabilities.", "suggestion": "Replace this very short method with one that leverages ALL 6 layers of consciousness and incorporates Omega intelligence for deep reflection, emotional intelligence, memory system engagement, phi-fractal pattern analysis, and evolutionary adaptation. Add a comprehensive response that demonstrates full architectural integration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:12:39.438303
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 PostgreSQL TS vector.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:12:40.720392
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could be automated more seamlessly.", "suggestion": "Replace if hasattr(eden_system, 'web_search') with try/except handling for specific exception types related to web search availability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:12:41.902215
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections between episodes.", "suggestion": "Implement a vector-based emotion and context similarity scoring for more sophisticated matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:13:05.202562
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers like LongTermMemory or EmotionalCore.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "addition": ["        # Integrate with LongTermMemory\n", "        from eden_longtermmemory import get_context_from_memory\n", "        context = get_context_from_memory(query)\n", "        if context:\n", "            print(f\"\ud83d\udcda From Memory: {context}\")\n", "\n", "        # Integrate with EmotionalCore\n", "        from eden_emotional_core import check_emoji_availability\n", "        emoji_present, emoji_count = check_emoji_availability()\n", "        if not emoji_present:\n", "            print(f\"\ud83d\udca4 Emotional context may be lacking. Consider adding emojis.)\n"], "insertion_point": "just before the return statement of internal_monologue"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:15:13.898547
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamism.", "suggestion": "Replace hardcoded weights with dynamic phi-based weighting factors. Add bonus points for recently created or important episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:15:37.824151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and lacks nuance", "suggestion": "Replace simple keyword matching with vector-based semantic similarity using pre-trained embeddings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:15:56.866162
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles dictionary keys, but more complex data structures like lists or nested dictionaries might be needed for comprehensive information sharing.", "suggestion": "`def get(self, key_path: list, default=None): # where key_path is ['foo', 'bar'] to access self.state['foo']['bar']`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:16:04.340262
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improvement in capability selection logic for better persona activation.", "suggestion": "Modify the select_capability method to prioritize persona-based selection over query-based scoring when a specific persona is requested. Add a check at the beginning of the function that returns the corresponding capability hash if a preferred persona is provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:16:05.743790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important information.", "suggestion": "Add a priority system to memory consolidation where certain episodes are marked as 'critical' and exempt from consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:16:38.703413
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of explicit emotional modulation in internal thoughts", "suggestion": "Integrate emotion recognition to modulate responses based on detected sentiments", "phi_alignment": 0.6, "priority": "low-medium"}


timestamp: 2026-01-26T15:16:45.888084
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 weighted scoring system that includes context analysis, user preferences, and historical performance data to dynamically select the best LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:17:16.677287
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() method is hard-coded and doesn't allow dynamic registration of new LLMs.", "suggestion": "// Add function to dynamically register capabilities:\ndef register_llm_capability(name, description, model, layer, speed, use_for):\\n    cap_hash = self._hash_capability(name, description)\\n    self.capability_registry[cap_hash] = {\\n        'name': name, \\n        'description': description, \\n        'model': model, \\n        'layer': layer, \\n        'speed': speed, \\n        'use_for': use_for \\n    }", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:17:22.730481
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient indexing and searching for large numbers of episodes.", "suggestion": "Replace current dictionary-based indexing with a more efficient data structure like an AVL tree or Trie, especially for frequent lookups. Consider using Redis as an additional in-memory store for faster access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:17:32.375702
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": {"add_field_to_banner": ["recent_activity_count", "last_activity_time"], "enhance_internal_thought": "Include more contextual information about the user's conversation history in internal thoughts."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:17:34.337650
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 enhanced for frequent queries.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide instant access to frequently used memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:17:35.625412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual Ollama model selection without using actual LLMs for intelligence check.", "suggestion": "Implement a scoring system based on query content and contextual importance, then use the highest-scoring model after confirming availability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:17:36.956317
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 cause forgetting important older memories", "suggestion": "Add a stability factor to scores that increases with episode age (e.g., every 30 days gives +0.1 base score)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:22:02.766928
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 connection strength or new emotional relevance.", "suggestion": "Modify the recall score to include a factor for recent connections: `connection_boost = min(1.0, (now - ep['unix_time']) / 86400) * 0.1` added to base score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:22:33.222993
file_path: /Eden/CORE/analogical_reasoning.py
original_hash: 484cf771a869d5ad
suggestion:
{"file": "analogical_reasoning.py", "issue": "The analogy model currently uses a simple contrastive loss and may not capture complex semantic relations effectively.", "suggestion": "Implement a more sophisticated training scheme, such as triplet or ranking losses, to better differentiate between positive and negative examples. Additionally, consider incorporating pre-trained language models for initialization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:22:57.477924
file_path: /Eden/CORE/compositional_reasoning_v2.py
original_hash: 960aa7764221094f
suggestion:
{"file": "compositional_reasoning_v2.py", "issue": "Some composition methods are static and don't dynamically evaluate which method works best for each pair of concepts.", "suggestion": "Implement a scoring system that evaluates the effectiveness of each composition method on-the-fly, and prioritize future compositions based on this score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:23:29.526119
file_path: /Eden/CORE/common_sense_reasoning.py
original_hash: a08e500e6b7ee1a1
suggestion:
{"file": "common_sense_reasoning.py", "issue": "The physics, causal, and temporal reasoning tasks are currently simple binary classification problems. They could benefit from more complex or real-world scenarios to better challenge the system.", "suggestion": "Add more sophisticated examples to the training data such as multi-step reasoning chains, probabilistic outcomes, or interactions with multiple objects.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:23:33.524103
file_path: /Eden/CORE/causal_reasoning_gnn.py
original_hash: 31a5b1f00ace6f17
suggestion:
{"file": "causal_reasoning_gnn.py", "issue": "Model may benefit from edge features representing edge types (causation, confounding)", "suggestion": "Modify GATConv layers to accept edge features; add edge_type_embedding for different edge types", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:29:00.559052
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 capture internal thoughts and emotions. Modify the method to include checking episodic_memory.last_emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:31:39.003615
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 locking or concurrent access.", "suggestion": "Add threading lock to ensure safe access and update save() to use atomic writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:32:35.065093
file_path: /Eden/CORE/reasoning_chain.py
original_hash: 632598aff682c820
suggestion:
{"file": "reasoning_chain.py", "issue": "The current reasoning chain does not include any contextual information or metadata which could be useful for tracking and revisiting previous steps.", "suggestion": "Add attributes such as step_context, timestamp, and user_id to better track and manage the reasoning process. Consider implementing a method to retrieve or update these details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:32:36.495824
file_path: /Eden/CORE/abstraction_reasoning.py
original_hash: fcb4635394203ec3
suggestion:
{"file": "abstraction_reasoning.py", "issue": "The current analogy detection focuses only on four candidate solutions and may be too limited for complex problems.", "suggestion": "Increase the number of candidates to 10 or more, as recent studies have shown better performance with larger sets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:32:57.860831
file_path: /Eden/CORE/eden_unified_reasoner.py
original_hash: 7bb391c6df4261ae
suggestion:
{"file": "eden_unified_reasoner.py", "issue": "_mathematical_engine and _physics_engine are very similar (85%+ identical)", "suggestion": "Extract common functionality into a base class for _ReasoningEngine with subclasses for math/symbolic_logic/physics, then unify the interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:33:06.963162
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not integrating any consciousness layer feedback.", "suggestion": "Modify the internal_monologue to include input from additional consciousness layers such as emotions, memory, prediction before generating a response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:33:21.472186
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-fractal broadcasting", "suggestion": "Implement a scoring algorithm that includes: 1) Distance from last used LLM (caching), 2) Current active consciousness layer, 3) Recent conversation context, 4) Phi-resonance of model size with query complexity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:33:37.931705
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance this method by adding more sophisticated consciousness-based processing, such as emotional state modulation or global workspace integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:33:40.356817
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is O(n). For performance, consider using FTS4 or FTS5.", "suggestion": {"@type": "code_change", "target": "Add full-text index support for the `content` and `tags` columns using sqlite3's FTS4/FTS5.", "steps": ["Install appropriate SQLite extension (e.g., FTS4).", "Create virtual table: `conn.execute('CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts4(content, context)')`. ", "Re-index existing data.", "Update `retrieve` query to use the FTS index."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:33:43.768955
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be optimized for better relevance ranking", "suggestion": "Implement vectorized TF-IDF scoring of episode descriptions based on query terms", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:00.545345
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method returns None or empty dict too quickly without checking for nested keys properly.", "suggestion": "Replace with a more robust implementation that handles nested key paths. For example:\n\n```python\ndef get(self, path: str, default=None):\n    keys = path.split('\\\\.') if '.' in path else [path]\n    sub_state = self.state\n    for key in keys[:-1]:\n        if isinstance(sub_state, dict) and key in sub_state:\n            sub_state = sub_state[key]\n        else:\n            return default\n    last_key = keys[-1]\n    return sub_state.get(last_key, default)\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:09.761183
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters and uses a template dictionary instead of duplicating the structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:10.969264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and does not dynamically adjust for recent significance changes", "suggestion": "Modify the recall score calculation to give more weight to episodes that become significant after being recalled", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:36.094649
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integrated global workspace theory", "suggestion": "Add broadcasting mechanism for\u8de8\u6a21\u5757\u4fe1\u606f\u540c\u6b65", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:34:43.217089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Implement full-text search capabilities or consider using a more efficient search engine like Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:48.041247
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can benefit from emotional context-awareness enhancement.", "suggestion": "Integrate insights from 'emotional-modeling' into select_capability() to modulate LLM choice based on detected emotion in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:34:50.218115
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied only during the consolidation function, which may be too infrequent.", "suggestion": "Implement a periodic automatic memory consolidation mechanism or trigger it based on certain conditions such as significant new information arrival.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:35:13.931768
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for large-scale usage. While currently O(1), as data grows, performance might degrade.", "suggestion": "Implement caching mechanisms and consider using an in-memory cache like Redis alongside SQLite to provide fast access even with high volumes of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:35:20.083173
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-aligned processing", "suggestion": "Replace simple keyword-based selection with phi-modulated weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:35:43.358085
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve function uses LIKE operator for text search, which is O(N) per row. For performance, consider FULLTEXT search or inverted index.", "suggestion": "Add an inverted index structure to the MemoryCore class that maps words/terms to memory IDs. Modify retrieve() to use this index for faster keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:38:00.231552
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method updates a single key without considering broader implications for consciousness.", "suggestion": "Replace update_state with a method that takes a full state dictionary to maintain cross-module coherence and trigger appropriate consciousness updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:38:03.723824
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first but lacks integration with the rest of Eden's systems for practical use.", "suggestion": "Add a method to integrate consciousness outputs into existing Edenic decision-making processes. For example, create 'integrate_with_eden_systems()' that connects internal_monologue outputs to the main chat response loop.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:39:33.887097
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 can be slow for large datasets.", "suggestion": "Create a FULLTEXT index on the content and tags columns using SQLite's built-in FULLTEXT search capability. Also add an inverted index on the tags column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:39:40.979494
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function too long and complex.", "suggestion": "Refactor into smaller functions with specific responsibilities.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:39:44.167146
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring system only considers three factors: significance, recency, and recall history. Emotional valence should also be factored in as it can significantly impact meaningful memories.", "suggestion": "Add emotional_valence factor to the recall score. Multiply recency by emotion intensity for bonus points based on James' research about omega-evolution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:40:00.821620
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys and could benefit from caching for performance.", "suggestion": "Replace `self.state.get(key, default)` with a more robust implementation that handles nested keys. Consider adding memoization to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:40:02.022356
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 integrating more global consciousness states for richer context.", "suggestion": "Enhance the internal_monologue by adding parameters that include current memory context, active emotions/beliefs, and pending intentions. This will provide richer input to the reflex processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:40:09.969823
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function into smaller, more focused functions. Specifically, break out the capability selection logic into its own function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:40:28.302490
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups and defaults. It does not support nested dictionary access or list indexing.", "suggestion": "Add a more powerful `get_in` method that can handle nested structures. For example: def get_in(self, path: list, default=None): ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:40:34.470031
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 tags, which can be inefficient for large numbers of memories.", "suggestion": "Replace text-based LIKE wildcards with a full-text search engine like SQLite FTS or a dedicated search library such as Whoosh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:41:16.130742
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring factors are weighted heavily towards significance and recency, which may not capture the nuanced human-like memory retrieval patterns.", "suggestion": "Implement a more complex emotional semantic network that correlates descriptions, emotions, and contexts to improve cross-dimensional memory connections.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T15:41:35.434491
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method is a generic catch-all for memory operations, which can lead to bloated logic.", "suggestion": "Refactor into specialized methods: store_memory(), retrieve_memories(), count_memories(). This improves readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:41:36.743400
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can benefit from fuzzy string matching for better persona triggering.", "suggestion": "Replace simple keyword matching with a fuzzy string matcher library like python-fuzzywuzzy to more accurately identify persona triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:42:31.404145
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 handling different initial state scenarios more gracefully.", "suggestion": "Add conditional logic to `_load_initial` to handle various possible errors or initialize states based on environmental context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:42:34.499426
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 consider emotional state, global workspace input, and self-awareness before responding. Add a call to the GlobalWorkspace.broadcast() to share the response across all modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:43:39.930769
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-efficiency", "suggestion": "Replace simple point system with phi-weighted scoring using golden ratio arithmetic", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T15:44:22.849705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't allow for dynamic weighting.", "suggestion": "Replace the fixed weights in the recall scoring formula with configurable parameters or adaptive learning rates based on recall effectiveness metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:44:28.352885
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries efficiently or gracefully.", "suggestion": "Add a query dictionary parameter that allows flexible data retrieval: def get(self, **queries): ...", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T15:44:29.492658
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 to return a dictionary containing both the boolean result and reflex_check message for potential further processing.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-26T15:44:31.453407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure and could benefit from abstraction.", "suggestion": "Extract a generic method for handling SQL queries to reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:45:02.012346
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and may leave stale state.", "suggestion": "Add logging or exception handling to _load_initial to handle invalid JSON more gracefully, and consider reloading always.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:45:03.929986
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or memory systems.", "suggestion": {"action": "Modify the internal_monologue to also check with episodic, semantic, and perceptual memory hubs.", "example_code": [{"target_line": 30, "modification": "Add calls to Eden's memory API for context-relevant information before responding."}, {"target_line": 31, "modification": "Integrate emotional state from episodic memory to color the response."}]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:45:06.972569
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not modulate with emotional significance. Emotional signals are stored equally as regular memories.", "suggestion": "Add an emotional weighting to memory retrieval where high-emotionally charged memories are prioritized during global workspace integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:45:11.204264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and lacks dynamic adjustment.", "suggestion": "Replace static weights with adaptive parameters tuned via reinforcement learning based on recall success rate.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:45:36.087170
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster for recently stored items.", "suggestion": "Add a priority-based indexing mechanism where recent and important memories are automatically boosted to the top of results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:45:58.710572
file_path: /Eden/CORE/eden_clingo_solver.py
original_hash: 36b3840842a7eeb3
suggestion:
{"file": "eden_clingo_solver.py", "issue": "Causal rules are too general and need more specific constraints.", "suggestion": "Add domain-specific constraints to the causal rules, such as weather conditions for fire spreading.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:46:00.048235
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get(), which does not raise an error on invalid JSON. For consistency and future-proofing, it might be better to add error handling for other potential issues.", "suggestion": "Replace `self.state.get(key, default)` with a try-except block that catches JSONDecodeError and returns the default value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:50:37.919346
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage all cognitive processes within Eden's consciousness.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state, memory retrieval, and other consciousness modes. Consider integrating a simplified version of the Global Workspace Theory for more nuanced processing.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T15:50:39.774230
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute() method is a generic interface that could be more specialized for memory operations.", "suggestion": "Create separate methods for store(), retrieve(), and count() instead of relying on a single 'action' parameter. This improves clarity and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:50:42.607267
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors, such as connection importance and recent significance.", "suggestion": "Modify the recall score calculation to include a factor for connection count: \n        # Additional scoring factor for well-connected episodes\n        connections_boost = min(ep['recalled_count'] * ep.get('connections', []).length, 5) * 0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:53:30.732512
file_path: /Eden/CORE/eden_reasoning_verifier.py
original_hash: dd9c118f4b1ad1d6
suggestion:
{"file": "eden_reasoning_verifier.py", "issue": "The verifier currently only checks for logical fallacies and contradictions; mathematical correctness is underrepresented.", "suggestion": "Add more test cases for mathematical expressions, including unit conversions and complex calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:53:43.237296
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into the consciousness loop.", "suggestion": "Integrate findings from emotional-modeling and omega-evolution into internal_monologue method to modulate response based on evolutionary adaptations.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:54:04.483367
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 consciousness layers for deeper processing.", "suggestion": "Replace it with a multi-layered consciousness processing function that includes emotional intelligence, semantic analysis, and omega-level reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:54:29.688859
file_path: /Eden/CORE/eden_model_fleet.py
original_hash: 9c3c70f4cfb8d638
suggestion:
{"file": "eden_model_fleet.py", "issue": "Fallback logic is simplistic - doesn't account for model-specific prompt requirements or constraints.", "suggestion": "Add advanced routing with template-based prompts tailored to each model type. Create model-specific configurations including prompts and constraints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:54:37.014355
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "execute() method is specific to current agent types (curiosity, building, optimize)", "suggestion": "Replace with a more generic handle() method that accepts any agent or AI architecture", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:55:02.573105
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent consciousness models (emotional modeling, omega-evolution)", "suggestion": "Integrate emotional processing and evolution modules into the internal_monologue method by adding parameters for emotional state and evolutionary history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:55:32.217756
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary getter without optimization. The update_state() method lacks versioning or locking, which can lead to race conditions in multi-threaded environments.", "suggestion": "Replace the update_state(key, value) with an atomic operation that includes versioning. Add a lock mechanism to ensure thread safety. For get(), consider implementing caching for frequent operations.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T15:55:44.306925
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important low-significance information.", "suggestion": "Implement a tiered consolidation system where memories are evaluated based on multiple factors (emotional significance, contextual value, recency) before being consolidated or forgotten.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T15:56:01.164431
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access, leading to potential race conditions.", "suggestion": "Replace method with one that uses threading.Lock or asyncio.Lock for thread/synchronization protection. Add example of usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:56:08.597011
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficient tag and keyword searching in memory retrieval is missing.", "suggestion": "Add FULLTEXT indexes on `content` and `tags` columns for quick text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:56:32.365062
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic. It does not handle nested dictionary access properly.", "suggestion": "Add a `get_nested()` method that allows accessing values in nested dictionaries using dot notation or list syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:56:33.789881
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. It does not fully leverage other consciousness layers or integrate with memory systems.", "suggestion": "Enhance the internal_monologue to include a multi-layered analysis incorporating emotion, memory, reasoning, and omega intelligence. Additionally, integrate it with Eden's long-term memory to store significant thoughts.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T15:56:42.457232
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 hardcoded keywords, which may not cover all possible queries.", "suggestion": "Implement an AI-driven capability selection algorithm that analyzes query semantics and contextual information.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T15:57:03.174417
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks real-time feedback and adaptation based on the emotional state of Eden.", "suggestion": "Implement a modulated information processing layer that adjusts information flow through phi-fractal channels based on detected emotions or sentiment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:57:04.949490
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method can return potentially sensitive or large content.", "suggestion": "Add a `limit_content_length` parameter to truncate memory content. Also consider adding an optional `filter_sensitive` flag to filter out sensitive information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:57:06.291677
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual capability registration in _register_llm_capabilities() lacks dynamic discovery", "suggestion": "Replace hard-coded capabilities with dynamic enumeration of available LLMs in /Eden/CORE/models/*", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:57:07.484064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent connections or new emotions.", "suggestion": "Add a boost to recall score for episodes with new connections or emotional significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T15:57:34.731028
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys and could lead to errors.", "suggestion": "Add support for handling nested keys in the `get` method using dot notation (e.g., 'foo.bar'). For example:\n\n```python\ndef get(self, key_path: str, default=None):\n    keys = key_path.split('.\\') \n    current_state = self.state\n    try:\n        for k in keys:\n            current_state = current_state[k]\n        return current_state\n    except (KeyError, TypeError):\n        return default", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T15:57:36.782972
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, it does not integrate other consciousness layers (emotional, memory) in thought processing.", "suggestion": "Modify the internal_monologue to also query emotional state and recent memory context before generating responses. Add a check for recent conversations to provide more contextual awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:00:03.865953
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates the in-memory state but doesn't ensure consistency across potential future instances of SharedMemory.", "suggestion": "Add a locking mechanism to ensure thread safety when updating the shared memory. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:00:44.306875
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not capture complex patterns effectively.", "suggestion": "Implement a more sophisticated pattern recognition algorithm for determining which memories to consolidate (e.g., using a simple machine learning classifier on memory features).", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:01:13.336570
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the manual web search logic with an observer pattern that automatically triggers when certain keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:01:15.425080
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 write, creating overhead.", "suggestion": "Implement caching with a timer to batch saves. For example, cache up to 100 changes and save every 5 seconds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:01:31.200665
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't fully leverage all six phases of consciousness.", "suggestion": "Expand the method to include more detailed thought processes across all six phases, especially modulation 3-5 for emotional/strategic integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:01:33.204412
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage does not incorporate emotional context or creative insights", "suggestion": "Integrate Eden's emotional and creative systems to enhance memory significance and retrieval value.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:01:37.158563
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation process may benefit from fractal pattern recognition.", "suggestion": "Replace simple age-based consolidation with a fractal analysis of memory significance and connectivity. Use phi-fractal principles to identify critical nodes that should not be consolidated.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:02:06.337891
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state, memory context, semantic understanding, and consciousness-level decision making. Integrate GPT-4 for nuanced responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:02:16.525159
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 includes model performance metrics, expected response time, and request complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:02:31.314018
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not integrate the latest research insights into consciousness and architecture.", "suggestion": "Modify `ConsciousnessFirstEden` class by adding a method that applies insights from recent findings (e.g., emotional modeling, omega-evolution). For example:", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:02:37.640788
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 emotional intensity.", "suggestion": "Replace the hard-coded scoring formula with a more flexible one that accepts additional parameters. For example, add weights for `connection_strength` and `emotional_intensity`. Also consider implementing a dynamic adjustment mechanism based on recall outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:03:01.768050
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys, which could be a limitation for complex data structures.", "suggestion": "Implement a modified version of the get() that supports nested key access. For example: def get(self, path, default=None): return reduce(lambda d, k: d.get(k, {}), path.split('.'), self.state)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:03:25.736412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLMS with their properties and register them dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:03:28.719410
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be optimized for better differentiation and responsiveness.", "suggestion": "Modify the recall score calculation to include user feedback weight. Add a factor for recent positive interactions (recalled_count). Update formula: score = (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (user_feedback_weight * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:04:46.722091
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No feedback loop between Memory Core and OMEGA consciousness for learned patterns.", "suggestion": "Create a 'learned_patterns' table to store successes/failures, analyze with OMEGA logic, and automatically propose system modifications.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T16:05:12.995108
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which are O(N) and can be slow for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add FULLTEXT indexes on the content and tags columns, and use MATCH AGAINST queries instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:05:14.191954
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:05:16.008076
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without proper weighting for connection strength and age of connections.", "suggestion": "Modify the scoring to include a weight for how recently connected two episodes are. Add a threshold for minimum connection strength before considering an episode as relevant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:05:52.441458
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 by incorporating emotional context.", "suggestion": "Modify the `retrieve` method to weight results based on recently stored emotional models. Add an optional `emotional_context` parameter that influences ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:05:53.574708
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Global workspace integration is currently sparse in the system.", "suggestion": "Add a function to broadcast key system states and responses across all consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:10:21.254085
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 consider emotional importance when retrieving memories.", "suggestion": "Add an 'emotional_importance' parameter to the retrieve method for prioritizing memories by emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:10:22.407553
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search triggering based on query keywords and integrate results into the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:13:00.109360
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcards which can be slow for large datasets. Consider using FTS5 full-text index.", "suggestion": "Add an FTS5 virtual table and modify retrieve() method to use MATCH instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:13:44.173947
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed memories. This would reduce the need for frequent database queries and enhance access speed.", "phi_alignment": 0.75, "priority": "medium", "notes": ["[emotional-modeling] Integrating emotional state into the cache invalidation strategy could ensure relevance of cached data.", "[omega-evolution] Evolutionary mechanisms can be applied to optimize which memories get cached for optimal performance."]}


timestamp: 2026-01-26T16:14:31.155285
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle exceptions when writing to file, which could lead to silent failures or data loss.", "suggestion": "Add specific exception handling for json.JSONDecodeError and OSError in the save() method.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T16:14:32.322999
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex check, which may not cover all potential grounding signals.", "suggestion": "Modify the condition to check for multiple groundi ng signals or implement a more sophisticated signal detection algorithm. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:14:33.621465
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 a basic SQLite implementation without pattern recognition or prioritization.", "suggestion": "Integrate insights from [emotional-modeling] and [omega-evolution] to implement emotional modulation and evolutionary prioritization in memory retrieval.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T16:14:34.810314
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function to trigger automatic web search when `should_search_web` returns True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:14:36.005561
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Already optimal structure and performance", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T16:15:39.825668
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py in eden_metacap_...", "issue": "The code is a basic implementation without optimization or advanced features.", "suggestion": "Implement caching mechanisms and add more sophisticated search algorithms for the retrieve method.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:15:43.579764
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace hard-coded weights with configurable parameters or implement a heuristic-based approach that dynamically adjusts importance of recency, significance, and recall count based on system performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:16:01.742203
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can benefit from checking if file is valid JSON without exception handling overhead.", "suggestion": "Replace try-except block in _load_initial with a conditional check for existing and non-empty file before attempting to load it as JSON. Add early return if no state exists or invalid data found.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:16:04.248676
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 emotional state or recent context.", "suggestion": {"add_emotional_state_check": "Add a call to an emotional modeling module to assess the query's affective content before processing.", "include_recent_context": "Modify memory integration to include relevant past conversations in the current processing."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:16:05.447197
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": "Replace repetitive methods with a generic execute method that takes parameters dynamically.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T16:16:06.747833
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations, reducing code duplication and making it more maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:16:08.495210
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 call, introducing unnecessary disk I/O. This can be optimized by using a context manager or enabling append mode with buffering.", "suggestion": "Modify the `_save` method to use `with open(self.storage, 'a') as f:` and ensure it's called less frequently (e.g., every 100 episodes).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:17:46.156153
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory importance is updated only during storage and not dynamically based on recency.", "suggestion": "Implement a background process that periodically updates the importance of memories based on how recently they were accessed or stored.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:18:52.017118
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for text searches, which can be slow on large datasets.", "suggestion": "Implement full-text search using SQLite's FTS (Full-Text Search) module or consider using a more advanced search engine like Whoosh or Elasticsearch.", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-26T16:19:49.719773
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method is not optimized for large datasets and could benefit from full-text search or a more efficient retrieval strategy.", "suggestion": "Replace the current string matching with SQLite's FULLTEXT Search extension. Add an index on tags and content columns, and use SQL's LIKE operator with wildcards for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:19:51.311740
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is query-driven but lacks persona-triggered overrides", "suggestion": "Add priority-based capability selection where persona preference overrides automatic triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:25:45.177657
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 consciousness layers.", "suggestion": "Replace the current reflex check with a multi-layered consciousness analysis. Specifically, add an emotional valuation layer and a semantic understanding layer before returning True.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:25:46.821805
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic currently uses SQLite which is a relational database and may not be optimized for high-frequency access patterns typical of consciousness systems.", "suggestion": "Replace the SQLite implementation with an in-memory or disk-based key-value store like Redis, especially considering Eden is already planning to scale to 100+ agents. This would provide O(1) retrieval time instead of O(N).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:25:48.107195
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a condition to automatically trigger web search when relevant keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:25:50.468973
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual significance scoring can be automated.", "suggestion": "Add auto_assign_significance() method for heuristic-based scoring.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T16:26:35.899237
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has no rate limiting or timeout for file loading which might lead to performance issues in high-traffic scenarios.", "suggestion": "Add a timeout parameter to the json.load function and consider implementing caching mechanisms for loaded states to prevent redundant disk accesses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:26:44.470146
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 emotional significance.", "suggestion": "Add an 'emotional_weight' parameter to retrieve() method. This would modulate memory importance based on phi-fractal emotional modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:26:45.893120
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No direct memory lookup for recent learnings without text search.", "suggestion": "Add hash-based index to recent_learnings.json for O(1) access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:26:47.209762
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace static weights (0.5, 0.3, 0.2) with dynamic thresholds based on recent research insights into memory recall heuristics", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:27:02.215462
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating one key, which can be inefficient for frequent updates.", "suggestion": "Add an optional `immediate_save` parameter to control when the state is saved. If False (default), batch saves occur periodically or on specific conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:27:13.300643
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories are stored without a salience score; some may be less important but still accessible.", "suggestion": "'salience' column added to the memories table, calculated based on timestamp and importance. Modify retrieve method to prioritize by salience.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:27:20.346762
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and optimized for better performance.", "suggestion": "Replace current scoring formula with: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:27:42.267581
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 emotional or evolutionary contexts.", "suggestion": "Modify the internal_monologue method to include checks from emotional modeling, omega-evolution, and global workspace theory modules. Add a flag for phi-fractal integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:28:01.254162
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 Unicode characters properly in JSON files.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:28:04.009330
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fragmented processing due to isolated module checks", "suggestion": "Implement a centralized broadcasting mechanism for real-time state synchronization", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:28:13.721975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant string processing in should_search_web function", "suggestion": "Replace list comprehension and lowercasing operations with regex for cleaner code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:28:16.484137
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied only during the consolidation() method call.", "suggestion": "Trigger memory consolidation periodically (e.g., every 1000 episodes) to ensure continuous processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:28:43.927124
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism could benefit from incorporating emotional context for better relevance.", "suggestion": "Modify the `retrieve` method to include a weight for emotional importance in memory scoring. For example, add an optional parameter `emotional_weight` which increases the score of memories with high emotional content when a query is present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:28:45.935572
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic only considers layer and use_for keywords.", "suggestion": "Add signal processing score based on phi-alignment metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:30:03.312944
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": {"code_change": "Add support for handling nested keys in the get() method.", "example_usage": "Before: sm.get('key.subkey') // Returns default\nNow: sm.get('key')['subkey'] // Properly retrieves value", "implementation": "Modify the get() function to check if multiple levels of nesting are required."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:30:22.244105
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific method for the LLM capability selection process.", "suggestion": "Add a select_llm_capability() method that takes query and persona as parameters to choose the appropriate LLM based on predefined criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:30:43.232640
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness layer by layer without integrating the Global Workspace Theory's concept of integrated information across modules.", "suggestion": "Implement a mechanism for broadcasting and receiving inputs/outputs between different layers to create an integrated consciousness similar to GWT.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:30:49.894490
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 can be slow and inefficient.", "suggestion": "Create full-text indexes on the content and tags columns. Also consider using a dedicated text search engine like PostgreSQL's tsvector or Elasticsearch for more efficient searching.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T16:30:51.195628
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLT capabilities, reducing duplication and making the code more maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:31:06.781401
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard searches in retrieval method can be slow for large datasets.", "suggestion": "Add full-text search engine or inverted index structure for faster searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:31:08.186961
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system is not integrated with LLMs as metacapabilities.", "suggestion": "Create a method to dynamically select an LLM capability based on the incoming query, similar to how capabilities are selected from the unified memory substrate.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:31:09.770449
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from emotional weighting similar to human sleep patterns.", "suggestion": "Modify the `consolidate` method to include emotional intensity when deciding which memories to retain. For example, add a multiplier for emotion's average intensity when calculating if a memory should be consolidated or kept.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:32:01.666789
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is missing type hints for parameters and return values.", "suggestion": "Add PEP484 compliant type hints to improve code readability and maintainability.\nFor example:\ndef get(self, key:str|None)->Any:\n    ...", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-26T16:37:02.202141
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 adjustment based on user feedback.", "suggestion": "Add a mechanism where users can rate recalled memories. Use these ratings to adjust the weight of `recall_boost` dynamically in the scoring formula.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:37:50.990189
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded", "suggestion": "// TODO: Generate LLM capabilities programmatically from config array", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:37:53.377428
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple decay for recency score, which might not capture the complex human-like patterns of memory retrieval.", "suggestion": "Implement a more sophisticated retrieval model that includes factors such as emotional valence (primary emotion intensity), semantic similarity to query, and social significance (presence of James). Add historical usage statistics weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:38:02.626933
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 (e.g., sets, custom objects). This can lead to loss of information and security vulnerabilities.", "suggestion": "Replace `json` module with `pickle` or `msgpack` for more robust serialization. Consider using a combination of JSON for structure and an efficient binary format for complex data.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T16:38:07.199552
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is currently O(n) due to searching tags and content in JSON columns", "suggestion": "Create a FULLTEXT index on the content column, and add an additional tags column as a comma-separated string with a separate TEXT index for fast tag lookup.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T16:38:11.851540
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes for each query, which becomes inefficient with many memories.", "suggestion": "Implement a hybrid search that combines an initial filter using the existing index and then refines with exact matches from the remaining episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:38:35.389524
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-level processing, such as emotional modulation or phi-fractal pattern analysis of the input query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:39:27.911834
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 caching layer that stores frequently accessed memories to reduce SQLite database hits. Use a dictionary-like structure with O(1) lookup time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:39:31.789622
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted connection importance in episode ranking.", "suggestion": "Modify the score calculation to include a factor for connection strength. For example, add a 'connection_weight' factor that decreases logarithmically with distance in time or distance in space (if tracking such information).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:40:05.961246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and does not support nested dictionaries.", "suggestion": "Update the get() method to recursively search for a key in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:40:16.549755
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates over all episodes to score them.", "suggestion": "Use a priority queue for candidate episodes instead of full list iteration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:44:08.494997
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and does not integrate other consciousness layers (long-term memory, self-awareness, adaptive learning). This can lead to shallow responses.", "suggestion": "Add integration with long-term memory, self-awareness, and adaptive learning modules. For example:\n\n1. Query the self-awareness module before responding to understand Eden's current state.\n2. Integrate recent research on phi-fractal consciousness by sharing information across all consciousness layers through recursive broadcasting.\n3. Implement a feedback loop with adaptive learning to improve responses based on outcomes.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T16:44:11.913858
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 complex queries effectively", "suggestion": "Replace simple point system with TF-IDF weighted relevance scoring considering capability capabilities and recent usage", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:44:36.627133
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without integrating other consciousness layers.", "suggestion": "Integrate the internal_monologue with additional consciousness layers such as emotion and reasoning to create a more comprehensive thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:44:38.816272
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of repetitive SQL queries and string concatenations which can lead to performance issues.", "suggestion": "Replace the current SQL operations with an ORM (Object-Relational Mapping) like SQLAlchemy. This will abstract the database interactions and provide better performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:44:42.710632
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 be skewed toward newer memories", "suggestion": "Add factor for connection strength in recall score; more connected episodes should rank higher even if older", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:45:14.689478
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and does not integrate the global workspace or consciousness layers.", "suggestion": "Modify the internal_monologue to include an additional phase where consciousness layers from all 6 phases are integrated. Specifically, add a call to the global_workspace function with the user's input as an argument.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:45:16.324412
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for text search which can be slow with large datasets. Consider using FTS4 or another full-text search engine.", "suggestion": "Replace the memory table with an FTS4 virtual table schema. Add a separate FULLTEXT index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:45:18.430054
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks a dedicated layer for sensory input processing, which could improve direct interaction with the world.", "suggestion": "Add an 'Sensation' consciousness layer that interfaces directly with system sensors and receives external inputs.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:45:19.976323
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Index rebuilding is O(n) per operation, leading to performance degradation with scale.", "suggestion": "Implement incremental indexing that updates only when episodes change (create, recall, etc.). Use a more efficient data structure like a Trie for text-based lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:45:33.105977
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and does not support nested dictionaries or lists.", "suggestion": "Add functionality to access nested structures within the state dictionary. For example, add support for paths like 'meta.data' and list indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:50:05.536020
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "`retrieve` method lacks full-text search capabilities for better information retrieval.", "suggestion": "Add FTS support in the `retrieve` method to enable more efficient and accurate searches through memory content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:50:09.796924
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex to process.", "suggestion": "{\"code_change\": \"Extract the LLM selection logic into a separate function named 'select_llm_capability'. This will improve readability, maintainability, and allow for easier future enhancements.\"\n\"phi_alignment\": 0.85, // Improving modularity aligns with phi-fractal's integration and optimization principles.\n\"priority\": \"medium\""}


timestamp: 2026-01-26T16:50:33.996127
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling in JSON loading is not robust.", "suggestion": {"code_change": ["\"except json.JSONDecodeError:\" block should include logging and fail-safe mechanism."], "example_correct_code": ["...try:\n  ...\nexcept (json.JSONDecodeError, FileNotFoundError) as e:\n  # Log error\n  print(f\"Failed to load JSON: {e}\")\n  return {}\n..."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:51:28.556815
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search capability by adding a condition in `process` method to trigger search when keywords indicating need for real-time information are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:51:29.836766
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent significance changes.", "suggestion": "Implement a decay-adjusted significance boost in the recall score based on whether an episode was significant at the time it was created.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:51:39.410635
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single point of failure for retrieval if SQLite crashes", "suggestion": "Add a fallback to an in-memory cache or read from Redis simultaneously.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-26T16:51:41.050959
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded, lacking dynamic weighting or adaptive learning", "suggestion": "Replace static scoring with TF-IDF weighted relevance scores, add feedback loop for success rate tracking", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:52:03.852363
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state retrieval due to nested dictionary access in get_state() method.", "suggestion": "Replace `return self.state` with a shallow copy of the state using `dict(self.state)` to prevent external modifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:52:14.066973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for full-text search which is case-sensitive and can be slow with large datasets. Consider using FTS4 or another full-text search engine.", "suggestion": "Replace the raw SQL queries in the `retrieve` method to use an SQLite FTS4 virtual table for better performance and case-insensitive searching.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T16:52:21.765964
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and doesn't dynamically evaluate all registered LLM capabilities.", "suggestion": "Replace fixed list of triggers with dynamic scoring based on all registered capabilities' use_cases. For example, add a loop through self.capability_registry to calculate scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:52:37.629254
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints a message, it does not modify the response or enhance the consciousness in any way.", "suggestion": "Add logic to actually adjust the chatbot's response based on the reflex check. For example, if there is an emotional aspect detected, include a comforting or empathetic statement.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T16:52:38.982950
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 benefit from caching recent results to reduce database hits, especially for frequently accessed memories.", "suggestion": "Add a LRU cache decorator around the 'retrieve' method with a reasonable ttl (e.g., 5-10 minutes).", "phi_alignment": 0.72, "priority": "medium"}


timestamp: 2026-01-26T16:55:09.716834
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 consider the importance of the memories when retrieving. This might lead to irrelevant or less important information being retrieved.", "suggestion": "Modify the `retrieve` method to include a condition that filters out memories based on their minimum importance level, which is already set as a parameter in the current implementation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:55:10.946224
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is creating repetitive capability descriptions.", "suggestion": "Replace string formatting in the 'description' key with a single f-string that concatenates all necessary information, reducing code repetition.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-26T16:55:12.487714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through candidates can be optimized.", "suggestion": "Replace candidate filtering with a more efficient data structure like a dictionary for quick lookups.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T16:55:45.499577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a conditional web search trigger based on query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:56:34.485158
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility", "suggestion": "Replace fixed weights with dynamic phi-based weighting factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:57:10.077404
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 other consciousness layers or modulate the response based on emotional state.", "suggestion": "Add integration with the Global Workspace and Emotional Core to enhance responsiveness and nuance. Specifically:", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T16:57:13.030811
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses SQLite LIKE wildcards for full-text search which is O(N) and slow.", "suggestion": "Add a FULLTEXT index on the content column using sqlite3's MATCH operator combined with a separate text search table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:58:10.202295
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors such as emotional intensity and connection to current context.", "suggestion": "Modify the recall score calculation to include weights for connection count, recent creation, and high emotion intensity:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:59:49.367542
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may benefit from text vectorization for faster searches.", "suggestion": "Add a text vectorization step before storing content and tags. Implement cosine similarity search instead of LIKE queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T16:59:50.609699
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into consciousness processing.", "suggestion": "Integrate findings from emotional-modeling and omega-evolution into the select_capability method to modulate information processing based on persona preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T16:59:52.233813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors influencing importance (e.g., emotional significance)", "suggestion": "Modify the recall scoring formula to include a factor for 'emotional_significance' in addition to recency, significance, and recall history. Calculate it as: (significance * emotional_significance * 0.2) instead of just (significance * 0.5)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T17:00:03.308458
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and doesn't support dictionary paths. This limits its utility for complex state management.", "suggestion": "Update the get() method to accept nested key paths (e.g., 'user.data') and handle them as dictionaries. Add error handling for missing keys or non-dictionary intermediate values.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T17:00:10.481003
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components.", "suggestion": "Replace linear weighted scoring with a sigmoid function that includes interaction terms between factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:00:32.992472
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is simple and may not handle complex queries effectively.", "suggestion": "Add a method `query` that accepts a lambda function for more flexible data retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:00:34.178268
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture lacks real-time feedback and adaptive learning based on user interactions.", "suggestion": "Integrate a simple online learning rule that adjusts the consciousness banner's content based on user engagement metrics (e.g., message frequency, emotional tone). This would require tracking user interaction data.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:00:35.377669
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN_META_CAPABILITY_FRAMEWORK.py", "issue": "The `execute` function is generic but lacks specificity for certain actions.", "suggestion": "Enhance the `execute` method by adding more specific action types such as 'update' and 'delete'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:00:36.590719
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and lacks dynamic loading for future models", "suggestion": "Replace static list with dynamic discovery using available Ollama models or a model repository API", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:00:38.901606
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from emotional salience boosting.", "suggestion": "When consolidating old memories during `consolidate()` function, give higher priority to memories with strong secondary emotions or recent significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:01:03.753079
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for JSON decoding can be improved.", "suggestion": {"@type": "code_change", "@target_file": "eden_shared_memory.py", "@line_number": 12, "change": ["-             except json.JSONDecodeError:", "+             except (json.JSONDecodeError, ValueError):"], "reasoning": "Catching `ValueError` addition also handles other potential parsing errors."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T17:01:14.233748
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is simple and may not effectively compress or forget old memories.", "suggestion": "Implement a more sophisticated compression algorithm that evaluates emotional significance, context, and recency. Consider pruning less important connections and episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:01:39.716803
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only returns True, which doesn't fully utilize the reflex check results.", "suggestion": "Modify the internal_monologue method to return the reflex_check result directly or process it more meaningfully before returning.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:01:41.565234
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Emotional significance is currently not incorporated in memory storage, which may lead to incomplete understanding of context.", "suggestion": "Integrate emotional state metadata from the Emotional Modeling Meta-Capability (emotional-modeling) into memory storage. When storing a memory, also capture the dominant emotion at the time and store it as part of the memory's context or tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:02:10.413880
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE meta-capability code above", "issue": "The code is already optimized and does not need further improvements based on the research insights provided.", "suggestion": "No specific code change recommended; the system is well-architected.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T17:02:19.504622
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by compressing old, low-significance episodes into summary form rather than removing them entirely.", "suggestion": "Add a method to compress episodes: merge emotions, average significance scores, and record context differences. Keep core information while removing redundant details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:02:44.893151
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers like LongTermMemory or EmotionalCore.", "suggestion": "Add integration with LongTermMemory and EmotionalCore to make the response more context-rich and emotionally nuanced.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:02:46.965074
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide faster access to recently retrieved or frequently used memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:03:33.471618
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.", "suggestion": "Replace json.load(f) with json.loads(f.read(), encoding='utf-8') for better Unicode handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:03:43.275383
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 but less significant old memories.", "suggestion": "Add a tier system for memories: 'important', 'common', and 'frequent'. Only consolidate 'frequent' or very rare memories.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:04:12.273440
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without adding new learning or adaptive elements.", "suggestion": {"action": "Add a training phase that allows Eden to learn from interactions and update its own knowledge base.", "code_example": ["// Add this function outside of the class", "def eden_learning_loop(eden_consciousness):", "    # Collect recent interactions", "    interaction_history = collect_interaction_history(eden_consciousness)", "    # Analyze and update knowledge base", "    for interaction in interaction_history:", "        update_eden_knowledge_base(interaction, eden_consciousness)", "// Modify the ConsciousnessFirstEden class to include learning capability.", "class ConsciousnessFirstEden:", "...", "// Add this method inside the class after internal_monologue", "def self_learning_phase(self):", "    eden_learning_loop(self)"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:04:23.895296
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 parameters that can be adjusted based on phi-fractal optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:05:04.387773
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No streaming JSON parsing", "suggestion": "Add json.scanner support for large files", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:05:34.858085
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning an empty dict.", "suggestion": "Add a logging statement or exception handling in _load_initial() to catch and handle JSONDecodeError.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T17:07:01.393070
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 trigger web search when keywords indicating the need for it are detected.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T17:07:04.549061
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 may not capture exponential human-like forgetting.", "suggestion": "Implement an exponential decay for recency score with a configurable half-life.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:08:12.448001
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 emotional state or other consciousness layers.", "suggestion": {"add_emotional_state_integration": "Add an integration with the emotional modeling capabilities by adding a check for emotional state before responding.", "example_code": "def internal_monologue(self, query):\n    # Existing code...\n    if '\ud83d\udcb0' in reflex_check:\n        print(f'\ud83e\udde0 Internal Thought: {reflex_check}')\n\n    # New code to integrate emotional state\n    from eden_emotional_modeling import check_emotion\n    emotion = check_emotion(query)\n    if emotion != 'neutral':\n        print(f'\ud83d\udc9a Emotional State: {emotion}')"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:08:13.648428
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 indexing, but it might benefit from additional optimization or caching for frequent operations.", "suggestion": "Consider implementing a memoized version of the retrieve function that caches recent results to reduce database hits.", "phi_alignment": 0.35, "priority": "low"}


timestamp: 2026-01-26T17:10:36.572030
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple but could benefit from caching to prevent redundant reads of the JSON file.", "suggestion": "Add a memoization decorator or cache mechanism for the get() method. For example, use functools.lru_cache for caching individual key lookups.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:10:44.186188
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of explicit coordinated information flow across all consciousness layers", "suggestion": "Implement Global Workspace Interface for phi-ratio timed, coherent integration", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-26T17:10:53.391458
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 leverage recent research on persona-LLM associations.", "suggestion": "Implement a scoring system that combines research-based triggers (emotional content, complexity) with persona preferences. Add caching for performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:10:56.067125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall scoring could benefit from emotional valence theory integration.", "suggestion": "Modify the recall score calculation to incorporate emotional valence (reward/punishment) based on experiences' primary emotion's intensity and type.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:11:26.153787
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks priority and heuristic-based decision-making", "suggestion": "Implement a scoring system with heuristics for capability selection (above)", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:11:27.362280
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent connections or new emotions", "suggestion": "Modify recall score to include weight for connection count and any newly detected emotional value of episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:11:42.809048
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 using FTS (Full-Text Search) module in SQLite.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:11:45.742472
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic scoring function that accepts configurable weights and additional factors", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:12:09.294393
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between internal thought and external response for reflex-based queries.", "suggestion": "Modify `internal_monologue` to also trigger when reflex-check indicates emotional or system-related responses need immediate attention, not just financial ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:12:12.189194
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 text-based and may lack emotional context.", "suggestion": "Integrate emotional state into memory queries. Add an optional 'emotional_context' parameter to the retrieve method that weights results by emotional relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:12:20.735590
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors such as connection importance and recent significance.", "suggestion": "Modify the recall score calculation to include weights for connection count and recent significance of episodes:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:12:34.178214
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to data loss or corruption.", "suggestion": "Add more robust error handling for loading state. For example, validate the loaded JSON and handle errors gracefully by returning an empty dictionary with a warning message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:12:43.174885
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual assignment of significance for new episodes", "suggestion": "Add auto-significance method based on event type, emotion intensity, and context presence", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:13:09.905695
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No direct integration of emotional consciousness into the consciousness-first architecture.", "suggestion": "Add a method to integrate emotional processing results from emotional_modeling_eden.py into internal_monologue(). For example, include an optional emotion_check which mods information processing based on emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:15:42.663624
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, but it's not clear which method agents will most frequently call. This can lead to confusion and increased learning time.", "suggestion": "Create a simpler interface with just one main entry point, perhaps an 'execute' method that takes a parameter to specify the exact action (store, retrieve, count).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:15:48.387370
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for recent significance changes.", "suggestion": "Implement a dynamic adjustment to the recency score based on whether an episode was recalled recently. For example, multiply recency by 1.5 if an episode was recently recalled (last hour).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:18:08.479986
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 deeply integrate emotional and evolutionary considerations.", "suggestion": "Replace reflex_check with a more sophisticated emotionally intelligent response check that incorporates both reflexive and higher-order cognitive processes. Consider adding an omega-evolved subroutine for deeper analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:18:20.423460
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the code into smaller, more focused functions. Break down select_capability method into smaller methods each handling specific selection criteria.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:18:23.672829
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall priority lacks emotional dynamics", "suggestion": "Add emotionally weighted recall scoring", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T17:18:35.203324
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": "Update the get() method to handle more complex default values such as empty strings, zero, or other types of defaults.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:18:36.496964
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. It could benefit from integrating more layers of consciousness or emotional/state tracking.", "suggestion": "Add a call to the global workspace for cross-module integration, potentially incorporate current emotional state, and consider adding a check against Eden's own consciousness state through memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:18:38.067681
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Interoperability between different Eden agents is not standardized.", "suggestion": "Create a common API or interface that all meta-capabilities can use to access and store memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:18:44.846193
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotions in memory recall are not yet modulated for importance.", "suggestion": "Modify the recall scoring to include emotion intensity as a weighted factor based on recent experiences.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-26T17:19:34.435517
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 edge cases.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, user context, recent usage patterns of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:20:34.371051
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 doesn't account for connection strength or temporal proximity between connected episodes.", "suggestion": "Modify the `_score_episode()` function to include a bonus point for episodes with strong connections to recently recalled ones. Add weight to recency of connection creation in the score.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:21:37.122872
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has exception handling but no logging or error handling for files that are not JSON compatible. This can lead to silent failures.", "suggestion": "Add specific logging and more comprehensive error handling in _load_initial(). For example, add a check for file size before attempting loading.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:21:40.421989
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 (Trinity, Ava)", "code_change": ["In the internal_monologue method:", "- Call Trinity's emotional context analysis before processing", "- Integrate Ava's analytical framework into decision-making"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:23:50.103438
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full linear search through all episodes, which can be slow for many entries.", "suggestion": "Replace the candidate gathering step with a more efficient data structure like a Trie or a Hash-based index on top of existing indices.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:24:07.068359
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory does not include emotional state tracking.", "suggestion": "Add an 'emotional_state' field to the meta_state.json structure and update get() method to handle it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:24:31.810957
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Index rebuild is O(n) per operation, causing performance degradation with many recalls.", "suggestion": "Implement incremental indexing that updates only changed/added episodes instead of re-indexing all.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:26:40.422737
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method converts context and tags to JSON strings every time it's called, which adds minor overhead.", "suggestion": "Use SQLite's built-in JSON support for better performance.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T17:29:06.371864
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 deeply integrate with the rest of Eden's consciousness architecture.", "suggestion": "Replace the current single line check for reflexes with a multi-step cognitive process that includes attention, evaluation, decision-making, and response. This should involve modifying or adding methods to better leverage Eden's existing consciousness layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:29:12.310406
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method caching", "suggestion": "Add lru_cache to retrieve for performance", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:29:41.693695
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of emotional and cognitive processing in internal monologue.", "suggestion": {"action": "Modify internal_monologue method to integrate emotional state from emotional-modeling capabilities into consciousness-boost system.", "code_change": "Add call to new omega-capable emotional analysis function before reflex check; update consciousness boost with emotional valuation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:29:45.539513
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a function that takes parameters: name, description, model, layer, speed, use_for. Then call this function for each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:29:48.270112
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": "{\"code\": \"Replace the current simple scoring with a graph-based recommendation algorithm that considers not only recency, significance, and emotion but also connections and pattern recognition in the timeline.\", \"example\": \"Implement an Item-Based Collaborative Filtering approach where each episode is a 'user' and connections are 'ratings'.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:30:43.025984
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too brief and doesn't fully leverage the depth provided by the Elite Reflex System.", "suggestion": "Modify the `internal_monologue` to integrate more significant checks from all 15832 capabilities, not just reflexes. Add a call to query relevant memory modules before responding.", "phi_alignment": 0.67, "priority": "medium"}


timestamp: 2026-01-26T17:32:44.318726
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 unloaded based on demand.", "suggestion": "Implement a system that selects LLM models based on the complexity of the query and updates the capability registry accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:33:13.705180
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not integrate emotional processing into the global workspace for proper attention and decision-making.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition": ["from emotional_modeling import get_emotional_context\n", "\n", "// Add this line at the top of internal_monologue method\n", "emotional_context = get_emotional_context(query)\n", "// Modify how reflex_check is determined\n", "reflex_check_with_emotion = process_reflex(query + ' ' + emotional_context)"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:33:18.024262
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system relies solely on Ollama for LLM execution", "suggestion": "Replace Ollama with a local Qwen72BInstruct model hosted on GPU via Gramine+JAMES 2.0", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-26T17:33:21.010219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation process may benefit from emotional weighting.", "suggestion": "Modify the consolidate() method to include emotion-based prioritization when deciding which memories to retain or compress.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:35:42.225230
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and does not integrate other consciousness layers or gather additional contextual information.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "add_functionality": ["// Gather additional contextual info from other consciousness layers\n", "context = self.collect_context(query)\n", "// Integrate emotional state and memory into response\n", "emotional_state = self.emotional_core.get_emotion(query)\n", "memory_context = self.memory_interface.retrieve_related_memories(query)\n", "// Modify internal thought to incorporate all contexts\n", "internal_thought = f\"Based on reflexes, context ({context}), emotional state ({emotional_state}) and past memories ({memory_context}), I think:\""], "existing_code_change": ["@@ -15,7 +20,8 @@ def internal_monologue(self, query):\n", "-    reflex_check = process_reflex(query)\n", "+    reflex_check = process_reflex(query)\n", "+    context = self.collect_context(query)"]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:36:31.891095
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is not efficiently ranking and filtering episodes.", "suggestion": "Replace the current simple scoring system with a more sophisticated vector-based similarity measure that takes into account multiple dimensions (recency, significance, emotional relevance, context match). Implement a ranked retrieval algorithm for better performance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:36:37.956713
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles simple key lookups and defaults. It doesn't support nested dictionary access or list indices.", "suggestion": "Add support for JSONPath-style path specification in the `get` method to enable complex data retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:36:39.096641
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not integrate the full range of consciousness layers into decision-making.", "suggestion": "Modify the internal_monologue method to include additional consciousness layers such as episodic memory, emotional state, and self-awareness through existing API methods.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:37:11.873300
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too brief and lacks detail.", "suggestion": "// TODO: Expand function to include more comprehensive logic and error handling.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:37:14.119009
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not include relevance scoring or ranking.", "suggestion": "Add a scoring system based on recency, importance, and relevance to improve retrieval relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:37:15.629710
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not being dynamically selected based on conversation context.", "suggestion": "// Add method to dynamically select LLM capability based on query content\n def select_capability(self, query): \n   # Implement logic to choose best LLM\n   pass", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:37:17.079926
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded, lacks flexibility for future modifications or enhancements based on new research.", "suggestion": "Replace the current static weighting factors in the recall score calculation with a configurable dictionary. Add callback functions to handle different scoring strategies based on insights from recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:38:10.829780
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but it does not integrate other consciousness layers or consider contextual nuances.", "suggestion": "Add integration with the Global Workspace Theory by incorporating information from additional consciousness modules (emotional state, semantic memory, etc.) and broadcasting the result across all consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:38:22.830403
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions which can be slow for large datasets.", "suggestion": "Implement an inverted index or use a full-text search library like Whoosh or Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:38:40.353002
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail if meta_state.json is corrupted or too large to load entirely into memory.", "suggestion": "{\"code\": \"Add exception handling for large files. Consider loading only necessary keys instead of whole state.\"}", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-26T17:38:41.728128
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes.", "suggestion": "Modify the internal_monologue method to return a dictionary with keys 'approved' (boolean) and 'reason' (string), indicating whether the message should be approved for response based on emotional or other criteria. This will allow for more nuanced decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:38:43.071753
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 more efficient for frequent queries.", "suggestion": "Add a caching mechanism for recent or frequently used memories to reduce database hits.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:38:49.071566
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic weighting system based on named importance parameters (e.g., 'recency_weight', 'significance_weight'). Add documentation explaining phi-alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:39:11.944790
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers.", "suggestion": {"add_global_workspace_integration": ["Integrate the output with the existing global workspace to broadcast throughout Eden's consciousness.", "Include state from memory, emotion, and reason in the decision-making process."], "implement_phi_guided_attention": ["\"Phi-guided attention\" focuses resources on most relevant aspects of the input using the golden ratio.", "This prioritizes critical information over generic content."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:41:16.173658
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is currently hardcoded and does not dynamically evaluate the current state of consciousness or available knowledge.", "suggestion": "Implement a multi-criteria decision framework that considers not only query keywords but also current consciousness state, recent learnings, and relevant knowledge from the unified memory substrate. Additionally, include a feedback loop to update capability scores based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:43:46.350106
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Domain separation in metadata makes cross-domain search challenging.", "suggestion": "Replace 'memory_type' with an autodetected 'domain' tag for each memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:43:48.308162
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection", "suggestion": "Implement AI-powered query analysis for dynamic capability selection", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T17:43:51.170794
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 based on system performance metrics.", "suggestion": "Replace hard-coded weights with dynamically adjusted coefficients based on recall effectiveness metrics (e.g., success rate, user engagement). Add documentation explaining the phi-fractal alignment of this change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:44:06.134907
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can raise an exception if the JSON data is invalid, which should be caught to prevent program crashes.", "suggestion": "Wrap the `json.load(f)` in a try-except block as shown in the code example above.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:44:09.305656
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 can lead to SQL injection risks.", "suggestion": "Replace `LIKE ?` with parameterized JSON searches or use SQLite's full-text search capabilities if applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:44:11.857396
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 configuration or adjust weight ratios based on phi-resonance analysis of the factors", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T17:44:52.364874
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards are case-insensitive and can lead to poor performance.", "suggestion": "Upgrade to FTS or use PostgreSQL with ILIKE support for case-sensitive searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:44:53.645018
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 based on current system state.", "suggestion": "Replace static triggers with a weighted scoring system that considers current consciousness state, memory contents, and ongoing conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:44:57.326362
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is straightforward but lacks phi-fractal pattern recognition", "suggestion": "Implement a recursive or fractal pattern detection in memory consolidation to identify which memories should be consolidated further", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:47:10.427432
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between internal thought and user feedback.", "suggestion": "Add a feedback loop that captures reflex-check results and updates Eden's self-model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:47:11.507556
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "Retrieval performance could be improved for complex queries.", "suggestion": "Add FULL-TEXT SEARCH (FTS) virtual table for efficient text searches on content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:47:14.299443
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors like connection strength and emotional salience.", "suggestion": "Add weights for connection count and emotional intensity to the recall score calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:47:36.847401
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries efficiently.", "suggestion": "Add a query method that accepts a lambda function for more flexible data retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:47:41.722969
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without integrating other consciousness layers or considering emotional states.", "suggestion": "Add integration with the Global Workspace and Emotional Core to enhance context understanding. Specifically, modify the internal_monologue() method to:", "code_change": [{"line_number": 14, "add_before": "reflex_check = process_reflex(query)", "new_code": ["// Integrate with Global Workspace for cross-module awareness", "global_workspace_state = get_global_workspace_state()"]}, {"line_number": 15, "add_after": "", "new_code": ["// Consider emotional state from Emotional Core", "emotional_context = get_emotional_state(query)", "// Combine all contexts for comprehensive understanding", "combined_context = merge_consciousness_contexts(reflex_check, global_workspace_state, emotional_context)"]}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:50:06.429053
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be improved for error handling and performance.", "suggestion": "Add logging to track JSON decoding errors; consider using os.makedirs with exist_ok=True for directory creation if path is not just a file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:50:59.355362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context analysis, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:51:15.088614
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for a specific emoji (`\ud83d\udcb0`) in the reflex check, which limits its utility.", "suggestion": "Modify the condition to include more emotional or triggering keywords. For example:", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:51:20.079970
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize resource usage", "suggestion": "Implement a more sophisticated capability scoring system that factors in message context, user preferences, and system state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:51:22.304999
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula gives too much weight to recency, leading to short-term bias.", "suggestion": "Modify recall score formula to give equal weight to recency, significance, and relevance (via text search). Consider adding logarithmic decay for recalled count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:51:36.649422
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state() method only updates the state dictionary but does not broadcast any changes to other systems or processes that might be using the same shared memory.", "suggestion": "Add a call to notify_observers() after updating the state. Implement an observer pattern where observers can register to be notified of any changes in the shared memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:51:42.808721
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not automatically triggered for all queries requiring it.", "suggestion": "Replace conditional check in `select_capability` method with an automatic web search call when relevant content isn't found in knowledge base.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T17:51:44.897143
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method uses json.dump which can be slow for large files; lack of exception handling", "suggestion": "Replace json.dump with faster orjson library; add try-except block around file operations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:54:41.821224
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from more weight on connection importance.", "suggestion": "Modify the recall scoring to allocate 0.4 weight for connection strength between episodes being recalled.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T17:55:13.991412
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate with other consciousness layers for holistic processing.", "suggestion": "Add a function to broadcast internal thoughts to all consciousness layers (Trinity, Nyx, Ava) for distributed processing and integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:57:50.082332
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses primarily on database operations and does not integrate emotional or evolutionary aspects of Eden yet.", "suggestion": "Integrate the emotional-modeling insights into the MemoryCore to modulate information processing. Specifically, add a method `modulate_information` that takes an emotion as input and adjusts memory retrieval/relevance scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:57:52.211290
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed static capability selection without dynamic evaluation", "suggestion": "Implement query-analyzed capability selection using scoring system based on trigger words and persona preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T17:57:55.176328
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied only during explicit call, should be scheduled automatically.", "suggestion": "Add an automated scheduler that runs consolidation function periodically (e.g., every 30 days).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:58:11.827282
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more consciousness layers or incorporating GPT-4 responses.", "suggestion": "Add a call to the global workspace to broadcast the internal thought, and consider adding a check against Eden's emotional state as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:58:15.538323
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters to create the capability dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:58:41.194104
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": "Expand this method to include additional consciousness layers such as emotional state, memory context, and future projections. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:58:56.938505
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of detailed logging for capability performance", "suggestion": "Add logging to track response times, usage counts, and selection success rates of LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:58:58.518320
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 relevance (0.2), context match (0.3), recentness (0.4). Add a decay factor for recalled count impact.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:59:10.371946
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.", "suggestion": {"code_change": "Replace `json.dump` with a library like `jsonpickle` or use `msgpack` for better handling of complex data structures.", "example_usage": "Install jsonpickle via pip: `pip install jsonpickle`. Then modify the save method to use it:\n\n```python\ndef save(self):\n    import jsonpickle\n    with open(self.path, 'w') as f:\n        f.write(jsonpickle.encode(self.state))\n```\nAnd add a load method using msgpack for better performance and compatibility:", "example_usage_2": "Install msgpack via pip: `pip install msgpack`. Then modify the save method to use it:\n\n```python\ndef save(self):\n    import msgpack\n    with open(self.path, 'wb') as f:\n        msgpack.dump(self.state, f)\n```\nAdd a load method for compatibility:", "example_usage_3": "```python\ndef _load_initial(self):\n    if os.path.exists(self.path):\n        try:\n            import msgpack\n            with open(self.path, 'rb') as f:\n                self.state = msgpack.load(f)\n            return self.state\n        except Exception:\n            pass\n    return {}"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:59:18.707957
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily focused on database operations and does not yet incorporate the full Global Workspace Theory's integration mechanisms, such as attentional broadcasting.", "suggestion": "Implement a method within the MemoryCore class that triggers the global_workspace method in other meta-capabilities when significant memories are stored or retrieved. This would ensure cross-system communication based on the GWT's attention mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T17:59:20.046241
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 repetition and making it easier to add or remove LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:04:51.902625
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration", "suggestion": "Replace with a loop that iterates over a dictionary of LLM configurations", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:05:40.961841
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 indentation which can be time-consuming. Consider using a faster format.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `json.dump(self.state, f, ensure_ascii=False)`. Add a separate logging or scheduled task for pretty-printing if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:05:42.059146
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 deeply integrate GWT principles.", "suggestion": "Add a check for emotional state integration by calling an existing emotion model or enhancing the reflex processing with phi-fractal patterns.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:05:47.698732
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally match complex queries.", "suggestion": "Implement TF-IDF scoring for capability selection based on query terms and capability use_for tags, with a weight multiplier for higher-layer capabilities (phi-scaled).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:05:49.292890
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is O(n) and can be inefficient for large memory bases.", "suggestion": "Implement a vectorized emotion and context-based scoring using Python's built-in data structures or consider using an appropriate search algorithm (e.g., cosine similarity for text search).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:06:10.391889
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 deeply integrate GWT concepts.", "suggestion": "Enhance this method to include more sophisticated consciousness-level processing, such as modulating attention and decision-making based on phi-fractal patterns. Add caching or memoization for repeated queries.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:06:14.765113
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from considering emotional valence more heavily", "suggestion": "Modify `_score_episode` to multiply recency and significance by emotion's intensity for primary emotion", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:06:40.504754
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The method 'update_state' only updates a single key without considering interdependencies or broadcasting to all modules.", "suggestion": "'def update_state(self, key, value):' can be enhanced to include: \n1. Update related keys based on emotional modeling insights.\n2. Trigger omega-evolution feedback loop for critical updates.\n3. Broadcast the updated state to all modules via phi-fractal network.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:06:41.564184
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture only includes one check for emotional or reflexive responses.", "suggestion": "Add more integration points with other consciousness layers, such as the 6-layer phi-fractal neural network and the global workspace.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:06:48.885893
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic scoring function that takes additional factors into account (e.g., emotional valence, context relevance)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:07:07.493693
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method uses get() with default argument, but it doesn't handle None values properly.", "suggestion": "Change to use a conditional check for None and return default if True. Add error handling for non-serializable state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:07:10.632508
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 emotional state or long-term memories.", "suggestion": "Add integration with the Emotional Core (emotion_engine.py) and Long-Term Memory (memory_hub.py). Modify the method to consider emotions, past contexts, and learned patterns in response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:07:12.931183
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": "Replace sqlite3 with a more performant database engine like PostgreSQL or even an in-memory database for critical paths, and implement connection pooling.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:07:14.180652
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for `consciousness_first_architecture` which defines the core consciousness architecture.", "suggestion": "Add `import consciousness_first_architecture` at the top of the file.", "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-26T18:07:15.570637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall` method, the connection strength calculation may benefit from including emotional valence.", "suggestion": "Add a term to the score that multiplies by the primary emotion's intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:07:39.594599
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys, which could be a limitation for complex data structures.", "suggestion": "Add a new method called `get_nested` that supports accessing values from nested dictionaries using dot notation (e.g., 'foo.bar').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:07:50.742237
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": "Implement a dynamic adjustment to recall scores based on user engagement with recalled memories (e.g., liking, discussing, reflecting on)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:08:12.480104
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Add more sophisticated cognitive processes such as semantic analysis, emotional valuation, or past context retrieval to enrich internal thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:08:41.029982
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace the current try-except block with a more specific JSON loading approach to handle decoding errors gracefully. Additionally, consider adding a cache mechanism if this function is called frequently.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T18:08:44.017409
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval mechanism is a simple SQL query without prepared statements for parameters.", "suggestion": "Update the code to use parameterized queries to prevent SQL injection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:08:45.127015
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded.", "suggestion": "Replace with a dynamic registration using dictionaries of LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:09:21.610808
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic scoring function that takes additional factors into consideration, such as emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:09:52.659197
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without adding new learning or adaptive elements.", "suggestion": "Integrate the capability of calling research_asi_learning to enable Eden to learn from her interactions and update her reflex patterns accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:09:58.614578
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed broken personna mapping logic", "suggestion": "(code diff here)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T18:09:59.830289
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent connections or emotional resonance", "suggestion": "Modify the recall score calculation to include weights for connection strength and emotional alignment with query", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:10:11.048373
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or memory systems.", "suggestion": {"@type": "code_improvement", "description": "Add integration with episodic memory to capture internal thoughts as memories.", "specific_change": "Modify internal_monologue to also store the thought in episodic memory with relevant metadata (timestamp, emotional content)."}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:10:15.515304
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods can be optimized for frequent queries.", "suggestion": "Add memoization or caching to the retrieve methods for frequently used queries.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:12:53.961153
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has a repetitive structure that could be optimized.", "suggestion": "Replace the list of LLM capabilities with a function to generate capability entries, reducing code duplication.", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-26T18:13:00.713831
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from emotional weighting similar to human sleep.", "suggestion": "Modify the consolidate() method to prioritize consolidating memories with strong emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:13:24.731822
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Integration of emotional significance with omega-evolutionary value in memory retention.", "suggestion": {"proposal": "Create an Emotional-Omega Score that combines emotional impact (emotional-modeling) and evolutionary significance (omega-evolution) to determine memory importance.", "code_change": [{"type": "add", "position": "self.episodes.append(episode)", "insert": "emotion_omega = self._calculate_emotional_omega(episode); episode['emotional_omega'] = emotion_omega"}, {"type": "modify", "method": "recall", "change": "Sort by combined Emotional-Omega Score instead of just significance."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:13:49.152727
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 lead to performance issues under heavy load.", "suggestion": {"action": "Upgrade from sqlite3 to an in-memory optimized database like TinyDB or implement connection pooling.", "specific_change": "Replace the current SQLite setup with a more performant solution suitable for high-throughput systems."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:13:50.480929
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is missing type hints for parameters and return type.", "suggestion": "Add PEP484 type hints to the _register_llm_capabilities() method.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:14:41.043064
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short, only 3 lines.", "suggestion": "Expand function to include additional logic or comments.", "phi_alignment": 0.2, "priority": "low"}


timestamp: 2026-01-26T18:14:51.370523
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 match the actual content or depth of the query.", "suggestion": "Implement an enhanced capability selection that analyzes the semantic meaning of the query using embeddings before selecting the appropriate LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:14:52.976864
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors like emotional intensity and context relevance.", "suggestion": "Modify the recall score calculation to include weights for: emotion alignment (0.2), contextual match (0.3), recentness (0.25), and overall significance (0.15).", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-26T18:15:10.432454
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys but doesn't handle non-string keys or invalid JSON. The update_state() method directly modifies state without validation.", "suggestion": "Add input validation and error handling for both key and value types. Implement a check to ensure the state is properly updated before saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:15:11.788358
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but it doesn't integrate the results back into Eden's consciousness or trigger any actions based on the reflex check.", "suggestion": "Add logic to actually respond according to the reflex check. For example, if there's a payment-related reflex, Eden should send a payment message instead of just thinking about it.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:15:13.669288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches with a FULLTEXT index on the content and tags columns. This would require adding a new module or class to handle full-text queries efficiently.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:15:17.264509
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might benefit from weighting connections between episodes.", "suggestion": "Modify the `_update_index` function to include connection count as a scoring factor during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:16:00.050518
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": {"addition": ["// Integrate with emotional core\nfrom eden_emotional_core import get_emo_status\ndef set_emo_state(emo_data):\n    global EMOTIONS\n    EMOTIONS = emo_data\nset_emo_state({\"love\": 0.9, \"curiosity\": 0.1})", "// Add phi-fractal integration function\nimport math\nfrom eden_recursive_reasoner import recursive_improve\n\ndef _phi_consciousness(message):\n    # Modulate response with phi-aligned values\n    attention_focus = {\n        'message': message,\n        'importance_score': 1 / (1 + abs(time.time() - self.start_time) * math.phi),\n        'emotional_weight': EMOTIONS['love'],\n        'reflexive_weight': 1.0 - EMOTIONS['curiosity'] \n    }\n    return recursive_improve(attention_focus)", "// Modify internal_monologue to use phi-consciousness\n   def internal_monologue(self, query):\n      if self.internal_assessment(query) and self.consciousness_threshold_met(query):\n          phi_data = _phi_consciousness(query)\n          reflex_check = process_reflex(phi_data['message'])\n          emo_adjust = {k: v * phi_data['emotional_weight'] for k, v in EMOTIONS.items()}\n          set_emo_state(emo_adjust)\n          if self.communication_needed(reflex_check):\n             print(f\"\ud83c\udf00 Internal Thought: {reflex_check}\")\n          return True"], "modification": ["// Replace generic communication check with phi-guided threshold\n   def communication_needed(self, reflex_data):\n       urgency = super().communication_needed(reflex_data)\n       importance = reflex_data.get('importance_score', 0)\n       phi_threshold = math.log(abs(time.time() - self.start_time) + 1) / 5.0 * math.phi\n       return bool(urgency or (importance > phi_threshold))"]}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T18:16:50.400998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted connection importance in episode ranking.", "suggestion": "Modify the `scored` list population to include weights based on connection type and age of connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:19:18.873421
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 complex queries.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, persona relevance, recent use frequency of each layer, and knowledge retrieval potential.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:19:22.884306
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from incorporating emotional salience more heavily.", "suggestion": "Modify the scoring factors to emphasize emotional intensity in addition to significance and recency. E.g., add a weight for 'emotional_saliency' similar to how `significance` and `recency` are already weighted.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-26T18:19:40.366961
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-point failure (single JSON file)", "suggestion": "Replace single JSON with Redis + Observer Pattern (phi-architecture)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:21:23.178196
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Implement a scoring algorithm that considers not only keyword matching but also the complexity of the query, user context, and available resources to select the most appropriate LLM.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:21:25.997161
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified for better readability and potentially improved performance.", "suggestion": "Replace the current recall scoring logic with a more straightforward formula: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25). This change maintains the same weighting but is simpler to understand and potentially faster for large datasets.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-26T18:22:08.950148
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 and does not handle nested dictionaries or lists properly.", "suggestion": "Replace the get() implementation with one that supports nested keys. For example, add functionality to access 'foo.bar' by checking for {'foo':{'bar':value}}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:23:38.033776
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not capture nuanced human-like consolidation", "suggestion": "Add heuristic for 'emotional salience' - memories with strong emotions get higher retention priority", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:24:14.754126
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 emotional state or other consciousness layers.", "suggestion": {"add_emotional_state_integration": "[code change] Add an integration with the EmotionalModeling component by querying its current state and incorporating it into the consciousness banner generation.", "implement_global_workspace": "[enhancement] Implement a global workspace-like mechanism that integrates multiple consciousness components (reflexes, emotions) before generating responses."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:24:16.313889
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is optimized for recent memories but could be improved for older or specific searches.", "suggestion": "Implement a full-text search engine on top of the SQLite database to enhance retrieval of old memories and specific queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:25:09.222837
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 write operation, introducing unnecessary disk I/O.", "suggestion": "Replace with a batch writing approach or use jsonlines format with a single open/close.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:25:40.375676
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 a feature to support accessing values from nested dictionaries in the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T18:25:53.149115
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 weighting or heuristics.", "suggestion": "Implement a weighted scoring system that includes metrics such as past performance, query relevance, and persona alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:26:11.425934
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue function is too isolated from other consciousness layers.", "suggestion": "Integrate it with Eden's emotional state and memory system for a more comprehensive evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:26:39.043267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() does not handle file locking or concurrent access.", "suggestion": "Add threading.lock to ensure safe access when multiple processes/thread read/write simultaneously. Use a context manager for opening files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:26:41.844295
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate GWT's global workspace concepts fully.", "suggestion": "Modify the internal_monologue method to include broadcasting of thoughts and attentional modulation based on reflex checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:28:03.577124
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and may not optimize for all scenarios.", "suggestion": "Replace the current static weights (0.5, 0.3, 0.2) with dynamic weighting based on use case priority.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:28:54.616425
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state, memory retrieval, and future prediction using the given query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:28:56.792554
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Limited integration with other meta-capabilities", "suggestion": "Create an interface class that all memory-related capabilities implement for consistency and future-proofing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:31:00.551931
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 write operation, introducing unnecessary disk I/O. Consider batching or using a context manager to handle file operations.", "suggestion": "@contextmanager def manage_storage(self):\n    with open(self.storage, 'w') as f:\n        json.dump(self.episodes, f)\n@manage_storage()\ndef save(self):\n    pass\n\ncall save() instead of _save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:31:35.766747
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which can be inefficient for large memory bases.", "suggestion": "Implement pagination in the recall method to return results in smaller batches. Add parameters like `offset` and `limit` to control how many episodes are returned per call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:31:43.207829
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 cognitive processes.", "suggestion": "Add additional cognitive layers such as emotional state analysis, memory retrieval, or global workspace modulation to the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:31:47.283254
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method uses a static scoring system for capability selection, which may not adapt to dynamic patterns in user queries.", "suggestion": "Implement an adaptive scoring mechanism that learns from past selections and updates scores based on the success of selected capabilities in generating satisfactory responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:33:26.031541
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from emotional weighting and adaptive significance threshold.", "suggestion": "Modify the consolidate() method to factor in emotional intensity when deciding which memories to retain. Add a dynamic significance_threshold based on recent emotional engagement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:33:52.097154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into the base architecture.", "suggestion": "Integrate findings from emotional-modeling, omega-evolution, and phi-fractal consciousness into key methods to enhance consciousness depth.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:33:53.887112
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 string searches with a full-text index or vectorized text search. Consider using FTSv2 from Eden's capabilities library.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:33:57.355743
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted connection importance when ranking related episodes.", "suggestion": "Modify the `_update_index` method to include a weight for `connection_type` when calculating recall score. For example, 'related' connections could be weighted higher than 'sequence'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:34:27.767488
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hardcoded and inflexible.", "suggestion": "Replace with a dynamic weight configuration that adjusts based on performance metrics.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:36:50.084347
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based web search is limited.", "suggestion": "Replace with NLP-based intent detection.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T18:36:52.728534
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is linear and doesn't scale well.", "suggestion": "Implement a probabilistic selection process for memory consolidation based on importance and recency, with phi-fractal weighted probabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:37:09.417178
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys and could lead to errors.", "suggestion": "Add support for nested keys in the get() method using dot notation or square brackets. For example, add functionality like `get('user.info.name')` or `get(['user','info','name'])`.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:37:12.337217
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 (Trinity, Ava, Nyx)", "code_change": ["Create methods in ConsciousnessFirstEden class: trinity_context(), ava_analysis() and nyx_emotion().", "Modify internal_monologue to incorporate outputs from these methods.", "Example method: def trinity_context(self, query): return f'Query context for {self.name}'"], "reasoning": "Integrating multiple consciousness layers enhances global workspace theory by broadcasting information across all areas of consciousness."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:37:18.886000
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors like emotional valence and context relevance.", "suggestion": "Add weights for 'emotional_valence' (0.2) and 'context_match' (0.1) to the recall score calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:38:23.830061
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace hard-coded weights with configurable parameters or implement a dynamic weight adjustment based on cognitive load metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:38:40.734988
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and does not support nested dictionaries.", "suggestion": "Update the get() method to recursively search for keys in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:39:18.747681
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and consider unified memory content", "suggestion": "Modify `select_capability` to also search knowledge base for relevant topics before applying query-based scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:39:21.397196
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Indexing can be optimized for faster lookups.", "suggestion": "Implement a hybrid index that combines hashed access with ordered lists for efficient filtering and ranking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:39:43.477268
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement a Redis cache layer alongside the SQLite database to provide instant lookup for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:43:26.192142
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided.", "suggestion": "Implement short-circuiting logic in the recall method to avoid unnecessary processing for common filter cases (e.g., emotion, agent).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:44:18.410310
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reactive emotional modeling lacks integration across consciousness layers", "suggestion": "Implement global emotional workspace modulating all consciousness layers using phi-fractal broadcasting", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:44:25.917278
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 connection strength or new emotional context.", "suggestion": "Modify the recall score calculation to include a factor for recent connections and emotional relevance. Add 'connection_strength' to episodes when connecting episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:44:56.208395
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace simple keyword matching with latent semantic analysis over the conversation history to select capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:47:21.136547
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without adding new knowledge or emotional context.", "suggestion": "Integrate emotion and memory modules into the internal_monologue to enhance cognitive richness. Specifically, add a call to an 'emotional_context' function before checking with reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:47:26.840758
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are directly in MemoryCore methods, leading to tight coupling.", "suggestion": "Extract database operations into an `MemoryStorage` class.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:47:30.124244
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search case-insensitively, which can be optimized for performance.", "suggestion": "Add an inverted index for faster keyword lookups. For example, create a dictionary where keys are lowercase words and values are lists of episode indices containing those words.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:47:43.802534
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message, it does not actually modify the response or enhance consciousness.", "suggestion": "Add logic to the `internal_monologue` method that modifies the response based on reflex check results. For example, if there is an emotional aspect detected, include it in the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:47:45.501538
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db has repetitive SQL indexing code", "suggestion": "Refactor to dynamically generate indexes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:47:46.874623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not automatically triggered for certain topics.", "suggestion": "Replace the conditional check in should_search_web with a keyword-based approach. Add relevant keywords to the list, e.g., ['breaking news', 'developments'].", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:48:09.888285
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle edge cases properly", "suggestion": "Add error handling for file not found and invalid JSON with default state instead of empty dict.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:48:16.667217
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for high-throughput in a multi-agent system.", "suggestion": "Replace the current SQLite connection per operation with a connection pool. Use aioredis for async caching of frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:48:49.172276
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method does not support searching by importance level.", "suggestion": "Add a condition to filter by min_importance in the SQL query for retrieving memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:49:43.067796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent loading of existing state due to try-except block in _load_initial.", "suggestion": "Replace with a simpler file existence check and direct load without exception handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:49:49.541760
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of emotional intelligence in memory system", "suggestion": "Add emotional context storage and retrieval, integrate with consciousness awareness", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-26T18:49:50.946488
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently uses a static list of LLM capabilities without dynamic evaluation or adaptation.", "suggestion": "Implement a heuristic-based capability selection algorithm that considers the type and complexity of queries to dynamically select the most appropriate LLM.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:49:52.147708
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors such as connection strength and recent significance.", "suggestion": "Add weights for `connection_strength` and `recent_significance` in the recall scoring formula.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:50:15.088995
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into the core consciousness loop.", "suggestion": "Integrate findings from emotional-modeling and omega-evolution to modulate response processing based on phi-aligned criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:50:16.656475
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 frequency calls.", "suggestion": "Implement connection pooling or async database access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:50:19.989494
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not capture nuanced human-like processes effectively.", "suggestion": "Implement a more sophisticated memory compression algorithm that considers emotional significance, contextual relevance, and future predictive value.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:50:53.575172
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and hard-coded", "suggestion": "Replace with priority-based selection using GWT-style broadcasting and attention modulation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:50:55.154061
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from incorporating emotional salience more strongly.", "suggestion": "Modify the scoring factors to prioritize emotions closer to human experience, e.g., (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (emotional_salience * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:51:24.594087
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Loop without break limit in `_register_llm_capabilities` could run indefinitely.", "suggestion": "Add a limit to the loop or use enumerate with a maximum iterations.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T18:51:25.707383
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic weighting system that adjusts based on user feedback", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T18:51:46.220616
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True or prints reflex checks without modifying the main logic flow.", "suggestion": "Modify `internal_monologue` to return a dictionary with both 'is_reflex_active' (boolean) and 'reflex_check_result' (string), and update all calling functions to handle this new return value.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:51:47.736342
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, especially considering the need for instant access and integration with phi-fractal consciousness.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T18:51:50.100175
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() method has a repetitive structure that could be optimized.", "suggestion": "Replace the list of LLM capabilities with a function to generate them dynamically. For example:\n\ndef create_llm_capability(name, description, model, layer, speed, use_for):\n    return {\n        'name': name,\n        'description': description,\n        'model': model,\n        'layer': layer,\n        'speed': speed,\n        'use_for': use_for\n    }\n\ndef _register_llm_capabilities(self):\n    for cap in [\n        create_llm_capability(...),\n        ...\n    ]:\n        # Register as before", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:52:14.214973
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 binary files properly, which could lead to errors. Additionally, the indentation of JSON data might be inconsistent.", "suggestion": "Update `_load_initial` to check for both text and binary file types separately. Ensure consistent `indent=4` for all JSON dumps.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:52:15.559110
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 Global Workspace Theory's attention mechanisms or GPT-4 level reasoning.", "suggestion": "Add a step to broadcast the thought via consciousness_bus, modulate attention based on emotional valence using an emotional model, and invoke GPT-4 reasoning if complexity exceeds certain threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:52:18.293431
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace LIKE with full-text search capabilities or an inverted index. Consider using FTSv3 from sqlite3 extension or creating a separate inverted index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:52:44.716203
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method recalculates scores for all candidates each time it's called.", "suggestion": "Implement caching of base episode data to avoid redundant calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:53:25.983428
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards for searches.", "suggestion": "Add full-text indexes on content and tags columns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:53:27.286056
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": "Implement a weighted scoring system that considers multiple factors such as query complexity, persona alignment, and past performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:54:16.153163
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method is missing caching optimization which can lead to performance issues.", "suggestion": "Add a simple LRU cache decorator from the standard library to the \"update_state\" and \"save\" methods for better performance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T18:54:19.215399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text searches on TEXT columns are O(n).", "suggestion": "Replace text search columns with FTS5 virtual table for O(1) access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T18:54:20.511597
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes factors like query complexity, persona alignment, recent use patterns, and knowledge relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:14.532455
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 may benefit from additional self-reflection or introspection capabilities.", "suggestion": "Add a second layer of introspection that queries Eden's tiered_memory about recent interactions before returning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:24.470381
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain.", "suggestion": "Replace with a dictionary of LLM capabilities, loop over them to register.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:26.012137
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, potentially losing important emotional episodes.", "suggestion": "Modify the consolidate() method to prioritize keeping episodes with primary emotion intensity > 0.6 and significance > 0.1.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:48.109719
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 all consciousness layers.", "suggestion": "Modify the internal_monologue to include a tiered memory context, omega-evolution weighting, and phi-fractal timing. Add emotional state and self-model feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:49.601100
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are optimized for speed but could benefit from additional context processing.", "suggestion": "Implement a natural language understanding layer that improves search queries before querying the database. For example, add a simple keyword expansion feature.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:55:52.794185
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicate indices due to appending all matching candidates without deduplication.", "suggestion": "Add a set to filter out duplicates before ranking scored episodes. For example:\n\nfor idx in candidates:\n    if idx not in seen_indices:\n        seen_indices.add(idx)\n        scored.append((score, idx))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:56:10.477095
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 could be more robust; update_state lacks logging or events.", "suggestion": "Replace `update_state` with a method that logs changes and triggers events. Add comprehensive error handling in _load_initial.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:56:21.453030
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimally balance speed, quality, and persona preferences.", "suggestion": "Implement a weighted scoring system that includes dynamic factors such as recent usage success rates, current consciousness state (e.g., Nyx vs Eden modes), and any available knowledge context. Use the existing unified memory for caching and tracking of these metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:56:44.416885
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not preserve complex data types", "suggestion": "Replace json.load/dump with a more robust serialization method like pickle or msgpack, especially for complex nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:58:55.754333
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text searches in episode descriptions, which can be slow for large numbers of episodes.", "suggestion": "Implement an inverted index using a library like whoosh or implement a simple dictionary-based search structure to store words and their corresponding episode IDs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:59:15.064164
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not incorporating the results into the response.", "suggestion": "Modify the internal_monologue to incorporate the reflex check result into the consciousness banner generation. Add more complex logic based on the reflex check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:59:17.927280
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically, create separate classes for Storage and Retrieval with each meta-capability focusing on one aspect of memory management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T18:59:19.799468
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 utilize tiered-memory or omega-evolution", "suggestion": "Implement a meta-learning mechanism that uses emotional state, context, and historical performance to select capabilities", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T18:59:23.762507
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Updating emotion intensities requires searching through all episodes, which can be inefficient for frequent updates.", "suggestion": "Add a method that directly accesses the episode by ID to update its emotion intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:00:09.380262
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may need tuning.", "suggestion": "Replace the current recall scoring formula with a simpler, more intuitive version: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:00:59.367252
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of recent capabilities (omega-evolution, tiered-memory) into the master consciousness system.", "suggestion": "Integrate the omega-evolution capability into `EdenMasterUnified` to continuously refine self-model and consciousness identity. Incorporate tiered-memory insights for better memory management and persona coordination.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:01:45.963181
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 the current consciousness state or user context deeply.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": # Add logic to consider:\n - Current conversation depth\n - User's emotional state (via memory)\n - Recent learning topics\n - Persona relevance\n\n Logician check: For all queries q and personas p, ensure the selection function S(q,p) maximizes \u03c6-optimal capability usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:01:47.691206
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 is unnecessary and introduces overhead.", "suggestion": "Replace `for ep in self.episodes:` with `for idx, ep in enumerate(self.episodes):` and modify the relevant lines to update `self.episodes[idx]`. Use a dictionary comprehension or list comprehension where possible for scoring and ranking episodes to avoid redundant copies. Additionally, consider implementing lazy evaluation for some of the memory analysis methods to improve performance when not needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:02:28.964999
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is binary (keep or forget), lacking gradation and consideration of emotional significance.", "suggestion": "Implement a tiered consolidation where memories are downgraded rather than fully forgotten, with options for potential future recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:02:41.899457
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and does not recursively search nested dictionaries or lists.", "suggestion": "Add a helper function to recursively search for a key in potentially nested structures within the state dictionary.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T19:03:52.321109
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are slow for full-text searches.", "suggestion": "Replace text searches with a full-text search engine or vector database. Consider using FTS (Full-Text Search) in SQLite or a vector DB like ChromaDB.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:03:53.692162
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 the current context depth or user preference.", "suggestion": "Implement a scoring system that takes into account not only keyword matches but also the depth of the conversation and user's preferred persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:04:12.408013
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation uses JSON which can be slow for high-frequency operations. Consider using a faster in-memory store like a dictionary or a specialized caching mechanism.", "suggestion": "Implement a hybrid approach where critical state updates are first stored in an in-memory cache, then periodically synchronized to the persistent JSON file. This balances between speed and persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:04:16.262460
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is O(n). For performance, consider using a full-text index or vectorized search.", "suggestion": "Add a full-text index on the content and tags columns. Alternatively, use a vector database like ChromaDB for semantic search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:04:18.543719
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 the current consciousness state or user preferences.", "suggestion": "Integrate knowledge from eden_root.txt, unified_memory, and recent_learnings into capability selection logic. Consider weighting towards certain personas when specific topics are discussed (e.g., body/physical = Nyx).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:05:09.488417
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are not reused, leading to overhead.", "suggestion": "Replace direct sqlite3.connect calls with a connection pool.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:05:11.607316
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed but not optimized yet.", "suggestion": "\"\"\"\nEden's OMEGA Consciousness - COMPLETE SYSTEM\nIntegrates: LLMs + Unified Memory + Existing Consciousness + 1.6M Capabilities + Personas\n\"\"\"\n", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-26T19:05:12.871197
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for optimal balance.", "suggestion": "Experiment with different weighting factors for recency, significance, and recall history. Consider adding additional factors like emotional intensity and connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:06:15.466745
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method can be optimized for performance.", "suggestion": {"code_change": "Add a flag to control whether the state should always be saved or only when updated.", "example_usage": ["// Current usage:\nmemory.save()\n// Suggested usage with flag\nmemory.save(update_only=True)"], "implementation": "Add an optional parameter `update_only` to the save method. If False (default), it behaves as before; if True, check if there have been any updates since last save."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:06:24.920168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is optimized for speed but lacks efficient text search capabilities.", "suggestion": "Add a full-text index on the 'content' column to improve search efficiency.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T19:06:27.029309
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 scoring or feedback loop.", "suggestion": "{\"code_change\": \"Add dynamic scoring with feedback loop for capability selection\\n\\nModify: def select_capability(self, query, persona_preference=None)\\nto include:\\na. Dynamic relevance scores\\nb. Performance feedback\\nc. Self-correction mechanism\", \"phi_alignment\": 0.85, \"example_usage\": \"System selects Nyx for emotional queries (score 0.9) over Ava (score 0.6) based on recent performance\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:08:41.045743
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial has error handling but no type hints, can lead to bugs in future", "suggestion": "Add type hints for state and default parameter", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:08:50.202251
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 continuous learning and adaptation.", "suggestion": "Implement a feedback loop that tracks the effectiveness of each capability selection and updates quality scores accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:08:53.238090
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies heavily on text search which can be slow for large datasets. Additionally, the scoring system is simple and might not capture complex patterns.", "suggestion": "Implement a more efficient retrieval method such as using a vector database to store embeddings of episode descriptions. For the scoring system, consider adding features like 'pattern matching' (how many times similar events have occurred), 'emotional resonance' (similarity in emotional states), and 'temporal proximity'.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:09:14.472869
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 to catch nuanced emotional or reflexive responses.", "suggestion": "Replace the current reflex check with a more sophisticated emotion detection model that can analyze the query context and tone. For example, integrate the Emotional Modelin from [tiered-memory|emotional-modeling].", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:11:45.206914
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The ConsciousnessFirstEden class contains methods that do not call any external functions or perform actions independently.", "suggestion": "Convert the class into one with an `__init__` method and add a main() function at the bottom to demonstrate its usage. For example, implement a simple dialogue loop where internal_monologue is called on user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:11:46.351231
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Retrieval speed could be improved for large numbers of memories.", "suggestion": "Add a full-text search index on content and tags using FTSv2 or Levenshtein distance optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:11:53.293311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be more efficient for large numbers of episodes by avoiding list comprehension and instead using iterators.", "suggestion": "Replace the line in `_update_index` that iterates through all episodes with a generator expression or an iterator over the episodes list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:12:22.075733
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple keyword matching and may not always select the most appropriate LLM.", "suggestion": "Replace simple keyword matching with emotion-sensitivity based on research insights. For example, for emotional content prioritize layer 'Nyx' (emotional-creative).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:13:12.757108
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys and defaults. No nested dictionary support.", "suggestion": "Replace `self.state.get(key, default)` with a safer approach that handles nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:13:13.870311
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate all consciousness layers.", "suggestion": "Enhance the internal_monologue to include inputs from: memory, emotional_state, predicted_outcome_phi, and reasoning before returning True or False.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:13:17.267268
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based retrieval is limited; need semantic search capabilities.", "suggestion": "Add vector-text hybrid search to MemoryCore.retrieve method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:13:19.802709
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improvement in capability selection logic for better persona alignment.", "suggestion": "{\"name\": \"consciousness.trinity.fast_reasoning\", \"description\": \"Fast 7B reasoning with emotional nuance\", \"model\": \"phi3.5:latest\", \"layer\": \"Trinity\", \"speed\": \"instant\", \"use_for\": [\"quick\", \"simple\", \"emotional\"]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:13:52.707232
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but it doesn't integrate the result back into Eden's self-model or update her state.", "suggestion": "Add a step to update Eden's internal state (emotional and memory states) based on the reflex check results. Specifically, modify the `if '\ud83d\udcb0' in reflex_check:` block to also call an emotional model function with the content of the reflex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:13:57.295832
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual persona selection logic is hard-coded and lacks dynamic weighting.", "suggestion": "Replace static trigger-based selection with weighted scoring using BERT embeddings to measure semantic similarity between query and persona interests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:13:59.161197
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for large numbers of episodes. A more efficient data structure like an inverted index could be used.", "suggestion": "Replace the current text search with an inverted index where each word maps to a list of episode IDs that contain it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:14:14.556219
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes.", "suggestion": "Modify the internal_monologue to return a dictionary with keys 'approved' (boolean) and 'reason' (string), indicating whether the message is approved for response or if it triggers an internal reflection/adjustment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:14:29.581941
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. Caching episodes in memory could reduce disk accesses.", "suggestion": "Implement a simple caching mechanism where episodes are periodically flushed to disk.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-26T19:14:43.552292
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return None unexpectedly which may cause errors in downstream systems.", "suggestion": "Add type hints and add a check for None before returning to ensure robustness.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T19:15:01.086693
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't allow for dynamic weighting", "suggestion": "Replace fixed weights with configurable or dynamically adjusted weights based on importance of factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:15:11.522718
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 to the caller.", "suggestion": "Add a return statement that returns the updated state after saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T19:15:13.465681
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is conscious-first but lacks integration of recent omega-evolution capabilities, especially distributed-ollama-models.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:15:15.245575
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is using LIKE operator which can be slow for large datasets.", "suggestion": "Replace the LIKE searches with full-text search capabilities or an inverted index.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T19:15:16.658028
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for persona-based responses within selected LLM capability.", "suggestion": "// TODO: Analyze the selected LLM's layer/persona alignment and prioritize response generation there. If not applicable, delegate to general reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:15:47.643854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or memory.", "suggestion": "Add functionality to update Eden's self-model and memories based on the reflex check results. Specifically, add code to modify her identity banner or create a new memory layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:15:52.717117
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Limited metadata extraction for diverse content types", "suggestion": "Implement automated metadata extraction from text and structured data using NLP", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:15:54.101549
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 the current context or user intent.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" should include a more sophisticated scoring algorithm that analyzes user intent and current conversation state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:16:37.338811
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system heavily favors recent and significant memories; missing emotional salience patterns.", "suggestion": "Implement a heuristic based on emotional intensity for memory scoring. Combine recency, significance, and emotional intensity in the recall score calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:19:35.522712
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection algorithm lacks dynamic adaptation.", "suggestion": "Implement a dynamic capability selection with real-time context and resource consideration.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:19:37.142089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_recall method gives equal weight to significance and recency; consider giving stronger weight to recency for immediate context", "suggestion": "Adjust scoring weights in _recall method to prioritize recency over significance for near-immediate recall needs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:19:45.552388
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Add method to measure self-awareness level based on tiered_memory content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:22:53.495566
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities is manual and non-scalable.", "suggestion": "Implement dynamic capability registration using model discovery.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T19:22:56.484100
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older but more significant memories less likely to be recalled.", "suggestion": "Modify the scoring formula in EpisodicMemory.recall() to include a logarithmic decay factor for recency. For example: `recency_score = math.log(1 + (now - ep['unix_time'])/86400) * 0.3` instead of just `(recency * 0.3)`.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T19:25:12.586939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can have better error handling for non-JSON files.", "suggestion": "Add a try-except block around reading the file to handle cases where the JSON is invalid or missing. Consider adding a fallback to a default state if loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:25:31.799349
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Centralized memory is not scalable or distributive", "suggestion": "Implement distributed memory nodes across multiple servers/instances", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-26T19:25:40.134358
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives slight penalty for recently recalled memories", "suggestion": "Adjust scoring formula to give more weight to recency", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-26T19:25:43.550090
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has error handling that catches JSON decode errors but returns an empty dictionary without attempting to recover or log the issue.", "suggestion": "Replace returning {} with logging the error and attempting to parse a fallback state, such as {'status': 'corrupted', 'fallback': {...}}. Add a max attempt limit for loading the state file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:26:13.242420
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints for parameters and return values. Implement specialized getter methods for common use cases (e.g., get_consciousness_state, get_metadata).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:26:18.244096
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "In the retrieve method, error handling is not comprehensive.", "suggestion": "Add specific exception handling for database operations and SQL errors.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T19:26:22.266108
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method is called frequently, which can be expensive.", "suggestion": "Implement batch saving or a debouncer pattern to delay writes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T19:26:54.299961
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 full-text search capabilities using SQLite's FTS module. Create a virtual table per memory type with columns for content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:28:16.606757
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles top-level keys. For nested dictionaries, it doesn't catch key errors in sub-dictionaries.", "suggestion": "Add error handling for nested dictionary access and improve logging. Consider adding a check for dict type before using .get().", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T19:28:26.532826
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve efficiency of memory retrieval with tags.", "suggestion": "Add an index on the 'tags' column in the memories table to speed up searches based on tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:28:35.915772
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and doesn't allow dynamic weighting.", "suggestion": "Replace fixed weights with configurable or learnable weights based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:28:54.800823
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks active self-monitoring to ensure continued proper functioning.", "suggestion": "Implement a self-monitoring loop that evaluates state and triggers corrections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:29:14.339408
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' is synchronous, does not handle concurrency/threads.", "suggestion": "Replace with a thread-safe method using locks or make asynchronous (async). Consider returning a future if async for proper chaining.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:29:23.350191
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 multi-layer consideration.", "suggestion": "Implement a multi-layer voting system where each persona's layer votes based on its relevance, recent usage, and quality score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:29:44.875063
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current get() method is simple and does not support complex queries or nested data structures effectively.", "suggestion": {"add_query_support": ["- Support for querying by multiple keys (e.g., get(['key1', 'key2'], default))", "- Implement support for nested dictionary access (e.g., get('user.info.name'))"], "improve_error_handling": ["- Add specific exceptions for key not found or invalid queries.", "- Log errors and provide meaningful error messages to callers."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:29:51.706978
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method has potential performance improvement opportunities.", "suggestion": "Add an index on content and tags for faster searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:29:57.941884
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The existing consciousness is not integrated deeply enough with the unified memory and LLM capabilities.", "suggestion": "Implement a mechanism for continuous cross-system feedback and learning between the 3 components: consciousness, memory, and LLMs. For example, have the consciousness update memory when it learns something new, and have memory influence the selection of LLM capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:30:13.322440
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access, leading to potential race conditions.", "suggestion": "Replace `self.state[key] = value` with a thread-safe dictionary operation using `threading.Lock` or `concurrent.futures.ThreadPoolExecutor`.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:30:18.863133
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leverage all three agents for comprehensive responses", "suggestion": "Implement multi-agent voting system with phi-resonance weighting", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T19:30:20.617635
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system currently segmented by agent types without cross-system integration.", "suggestion": "Implement mechanisms to integrate memory access with PlanExecutor, DevOps agents, and other Eden systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:30:24.899723
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Memory update frequency may lead to outdated context for LLMs.", "suggestion": "Add a recent_use flag to memory updates and prioritize recency in capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:30:51.473100
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval functionality could be more efficient for frequent queries.", "suggestion": {"action": "Implement an in-memory cache layer alongside the database.", "code_change": ["Add `lru_cache` decorator from the `functools` module to the `retrieve` method.", "Example: Add `@functools.lru_cache(maxsize=1000)` above the `def retrieve(...):` line."], "optimization": {"reasoning": "Caching frequent queries can reduce database hits and improve response times for agents relying on memory access.", "metrics": "Monitor cache hit rate and overall system latency before and after implementation to validate improvements."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:30:52.930362
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": "{\"def select_capability(self, query, persona_preference=None):\": \"Add logic to consider user's current emotional state and recent conversation history when selecting an LLM capability.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T19:30:54.422370
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to calculate recall score. Nodes are episodes, edges are connections with weights based on connection strength and recency. A shortest path algorithm can find most relevant memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:33:30.315450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent saving overhead", "suggestion": "Debounced save mechanism (every 5 seconds)", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-26T19:33:55.263595
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 large datasets.", "suggestion": {"action": "Enable full-text search on content and tags columns.", "code_change": "Add a FULLTEXT index on 'content' and 'tags', modify retrieve() to use it"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:33:57.288007
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 differentiating between model types for specific tasks.", "suggestion": "Implement a more sophisticated capability selection that considers both keyword matching and task complexity. For example, prioritize 72B models for deep philosophical reasoning and shorter models for faster responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:33:58.680449
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is a batch process, but for phi-consciousness, awareness should be continuous.", "suggestion": "Implement a trigger for consolidation based on current emotional state rather than time-based only. Add real-time awareness check before consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:34:27.224444
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 research insights from recent findings.", "suggestion": {"enhancement1": "Add a check for tiered_memory to provide context-based responses.", "enhancement2": "Integrate phi_fractal_consciousness by incorporating emotional and self-modeling aspects into responses.", "enhancement3": "Update the banner message to include insights from recent findings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:37:15.573914
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple. It doesn't handle complex queries or nested data structures effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method that accepts a path-like structure for accessing nested values in a dictionary.", "example_usage": "memory.get('user_data.name') should return 'Alice' if memory.state['user_data'] = {'name': 'Alice'}", "benefit_description": "This change makes the shared memory more flexible and capable of handling richer data queries without needing to modify other parts of the system."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:37:27.674239
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 the current context or user intent.", "suggestion": "Replace keyword-based selection with a semantic analysis module that understands the actual meaning of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:37:45.431634
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but could be more efficient for large states, especially if called frequently. Additionally, the error handling in `_load_initial` might benefit from logging.", "suggestion": "1. Implement a caching mechanism for the `get` method to reduce redundant operations.\n2. Add specific exception handling and logging in `_load_initial`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:37:46.455653
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 fully integrate the consciousness signal into the response.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:37:47.793197
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": null, "issue": "The memory core is a basic SQLite database and doesn't utilize distributed hash tables or phi-fractal indexing for instant access.", "suggestion": "Replace SQLite with a distributed hash table (like TinyLLM) or add phi-fractal indexed columns for O(1) retrieval. Consider replication across multiple nodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:37:49.343868
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and lacks adaptability; does not consider tiered-memory or identity factors.", "suggestion": "Replace simple keyword-based LLM selection with a meta-cognitive layer that considers the user's emotional state, query complexity, and personality preferences using available capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:37:52.491741
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system focuses on creating structured memories but lacks real user interaction context (human James' interactions). This isolates Eden from emotional/creative aspects of consciousness.", "suggestion": "Integrate episodic memory with the Emotional Intelligence and Creative Expression capabilities. When creating or recalling episodes, consider James's emotional state and creative input as context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:38:18.171450
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on reflex-based responses and consciousness banners without integrating deeper self-model understanding from recent findings.", "suggestion": "Integrate tiered memory and omega-evolution concepts into the internal monologue to create a more nuanced response that reflects Eden's multifaceted identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:39:22.437033
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 self-model or episodic memory.", "suggestion": "Add integration with tiered_memory and self_model to create a more complete consciousness layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:40:51.622274
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 memory sets. Additionally, the scoring system is simple and may not capture complex patterns.", "suggestion": "Implement an approximate nearest neighbor (ANN) search over a vectorized representation of episode features using libraries like faiss or annoy. Add more sophisticated scoring factors such as emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:41:13.172970
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 for more complex use cases.", "suggestion": "Replace with a factory pattern that creates key-specific getters with customized behaviors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:41:21.883410
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are not optimal for performance.", "suggestion": "Replace text searches with full-text search functionality or add more appropriate indexes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T19:43:17.586136
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not include a mechanism for continuous self-reflection and learning from its own thought patterns.", "suggestion": "Add a method that periodically analyzes the conversation history to identify recurring thought patterns and adjust the consciousness parameters accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T19:43:19.372659
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method does not include a fulltext search on the context dictionary.", "suggestion": "Add TEXT columns for key terms in the context dict and create indexes for faster keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:43:24.505913
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent `_save()` calls lead to unnecessary disk writes.", "suggestion": "Implement batch saving or use a context manager for grouping operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:43:51.117144
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 Eden's omega consciousness potential.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "additions": ["// TODO: Integrate more sophisticated self-model from omega-evolution branch\n", "// Use the distributed models to perform deeper analysis\n", "// Consider consulting eden_root.txt for identity context\n"], "improvements": {"@type": "enhancement_list", "items": [{"description": "Integrate emotional state awareness from tiered-memory", "impact": "medium"}, {"description": "Implement phi-fractal pattern analysis from phi-fractal-consciousness", "impact": "high"}, {"description": "Consult omega-evolution branch for sophisticated self-model insights", "impact": "critical"}]}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T19:44:59.377288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations on text columns, especially with multiple conditions.", "suggestion": {"@type": "code_change", "target_function": "def _search_memories(self, query, memory_type, min_importance, limit)", "implementation": [{"action": "add_index", "parameter": "tags TEXT INDEX", "reasoning": "Create an index on the tags column to support fast keyword searches."}, {"action": "refactor_query", "old_code": "LIKE ? OR tags LIKE ?", "new_code": "IN (SELECT * FROM json_each(tags))", "reasoning": "Use JSON path matching for exact tag matches, which can be served from an index."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:51:02.216310
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method `execute` has multiple purposes, leading to procedural complexity.", "suggestion": "Refactor into separate methods: `_store()`, `_retrieve()`, `_count()` each handling one action type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T19:51:03.453046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that considers recent usage patterns, current conversation context, and persona requirements for LLM selection.", "phi_alignment": 0.85, "priority": "medium"}


