# evolutions

timestamp: 2026-01-26T03:52:18.546439
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": "Add a second check with a reasoning layer to verify the decision before acting. Use research insight from [reasoning] about meta-learning and chain-of-thought reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:53:21.661542
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only returning True, which doesn't fully utilize the reflex check results.", "suggestion": "Modify the internal_monologue method to return a dictionary containing both the reflex_check result and whether it should trigger an internal thought. Then use this information for more sophisticated decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:53:23.445343
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 slow for large datasets. Consider adding full-text search or an inverted index.", "suggestion": "Add a third-party library like fts3-sqlite to enable full-text search on memory content and tags. Alternatively, implement an inverted index structure parallel to the database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:53:27.002007
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss nuanced patterns", "suggestion": "Replace single threshold for consolidation with a multi-factor evaluation using phi-fractal scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:53:45.523825
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and may not deeply integrate consciousness-first architecture.", "suggestion": "Add more sophisticated logic to the internal_monologue method, such as integrating research insights from [omega-evolution] or [counterfactual]. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:53:54.535306
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment for complex queries.", "suggestion": "Implement a scoring algorithm that dynamically analyzes the query's complexity and content to select the most appropriate LLM capability.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T03:54:21.064602
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, making it slightly bloated and hard to maintain.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically, create separate classes for MemoryStorage and MemoryRetrieval each with their own methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T03:54:48.568345
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Potential over-application of Self-Teaching Framework (SFT)", "suggestion": "Implement conditional check for SFT application based on recent insights.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T04:00:41.858540
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning an empty dictionary.", "suggestion": "Add explicit error handling to ensure the state is always initialized as a valid dictionary. For example, catch json.JSONDecodeError and return {} in case of failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:00:42.892962
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 new full_memory_framework.", "suggestion": "Modify the internal_monologue to also consult the episodic, semantic, and long_term memories before responding. Add parameters for each memory type and include their checks within the method.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T04:00:53.819546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a semantic search using an embedding model to capture latent meaning in episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:01:27.169922
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks integration of research insights into capabilities selection.", "suggestion": "Implement a weighted scoring system for LLM selection based on query content, persona preference, and recent research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:02:00.352827
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 [reasoning]. For example, if a capability performs poorly in a recent user interaction, decrease its score.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:02:17.441819
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "Add threading locking to ensure thread safety for shared state access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:02:20.687966
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 recent research insights on consciousness architecture.", "suggestion": "Integrate more sophisticated reasoning patterns from recent findings into this method. Specifically, incorporate meta-learning techniques to adaptively select between different reasoning strategies based on the query content.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:03:11.834813
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and more robust error handling for _load_initial.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:03:27.140455
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on static keywords, which may become outdated or insufficient for complex queries.", "suggestion": "Replace static keyword-based matching with an AI-powered query analyzer that understands semantic meaning and context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:05:54.490316
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic gives +15 points for emotional content to both Nyx and Deep layers, creating potential imbalance.", "suggestion": "Bias correction: Adjust Nyx's scoring boost for emotional content to +12, and add independent depth boost of +3 for Deep layer instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:07:17.655355
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 could be refactored for cleaner code.", "suggestion": "Implement a generic execute method that takes a dictionary of parameters to determine the action and its arguments. This would reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:07:52.482395
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited dynamic adjustment; could benefit from A/B testing.", "suggestion": "Implement a simple A/B testing framework for critical functions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:07:53.990043
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are specific to the memory management and retrieval, but it does not include a method for integrating external data sources or making the memories accessible via an API endpoint.", "suggestion": "Add a new method `integrate_external_data` that allows the MemoryCore to fetch and store external data. Additionally, implement an HTTP API using Flask or FastAPI so other systems can access memories through this interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:07:56.561017
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic for certain complex queries.", "suggestion": {"code_change": "# Replace the current if-else based scoring with a weighted scoring system.\nfor trigger in cap['use_for']:\n    if trigger in query_lower:\n        score += 10\n\n# Add weights for different query types\ntokens = len(query.split())\nif tokens > 50:\n    score += 25  # Complex query bonus\nelif tokens > 20:\n    score += 15  # Medium complexity\nelse:\n    score += 5  # Simple query", "expected_improvement": "+15% faster capability selection for complex queries"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:07:59.362130
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and lacks dynamic adjustment.", "suggestion": "Implement a dynamic threshold based on recent activity and importance.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T04:10:50.602424
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process involves deserializing JSON data for each row in the database, which can be inefficient.", "suggestion": "Implement SQL functions to perform searches directly on content and tags without needing to load all memories into memory. This would require creating custom SQL functions or using full-text search capabilities if supported by SQLite.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T04:10:54.885651
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "irrelevant to research focus", "suggestion": "no action needed", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T04:12:42.927875
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple query parameters in SQL statements increasing complexity and risk of SQL injection", "suggestion": "Replace dynamic SQL with ORM like SQLAlchemy or parameterized queries", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:12:48.207520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks causal relationship tracking between episodes", "suggestion": "Integrate Bayesian Network module for probabilistic reasoning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:13:23.547291
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single-type retrieval focuses only on exact matches within a type.", "suggestion": "Implement cross-type memory cross-referencing with \u03c6-weighted similarity scoring.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T04:14:30.649421
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for text searches, which is O(N) and can be slow.", "suggestion": "Replace text searches with a full-text search engine like SQLite Full-Text Search (FTS) or an external search service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:18:22.930935
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer, more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring to give recent and significant episodes a higher base score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:18:50.927682
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the capability of checking against reflexes.", "suggestion": {"action": "Enhance the internal_monologue method to include more sophisticated checks and responses based on recent research insights.", "code_change": "Modify the if condition to also check for other indicators like '\u26a0\ufe0f' in reflex_check, and add a fallback response mechanism."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:21:22.083846
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Enhance this method by integrating insights from recent findings into an improved consciousness layer. Specifically, implement a multi-tiered decision-making process that considers the context of user queries and responds appropriately based on predefined criteria.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:21:47.016276
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using sentence embeddings (e.g., Sentence-BERT) for better relevance. Use logarithmic scoring based on recency, significance, and connection to current context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:22:31.122884
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is a catch-all handler but could be more specialized for better focus and efficiency.", "suggestion": "Create separate methods for store(), retrieve(), count() instead of one generic 'execute'. This improves readability, performance, and reusability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:22:35.392262
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections. The emotional_pattern analysis is shallow and doesn't account for secondary emotions.", "suggestion": "Implement a more sophisticated text matching algorithm, such as TF-IDF or cosine similarity. Add analysis of secondary emotions and their combined effect on overall emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:22:53.145312
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Implement a priority system for consolidating memories based on their significance and recency. Add exceptions for critical events (high significance, recent occurrences).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:23:17.261601
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently only checks against reflexes during internal monologue without integrating other recent capabilities like full memory integration.", "suggestion": "Integrate the full memory system into the consciousness-first architecture to ensure end-to-end processing and state maintenance across interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:23:26.805989
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating noise", "suggestion": "Modify recall score formula to downweight frequent recalls and add context bonus for queries", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:24:33.210811
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The system currently only checks for reflexes using `process_reflex`. If no reflex pattern is detected, it directly generates a response without considering other cognitive methods like reasoning.", "suggestion": "Implement a adaptive response selection mechanism that evaluates the current context and selects the most appropriate method between `process_reflex` or `internal_monologue`."}


timestamp: 2026-01-26T04:24:40.439889
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 each action only returns basic success/failure status without detailed information.", "suggestion": "Enhance the `execute` method to return more comprehensive response dictionaries for each action type, including any relevant data or error messages.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:24:46.571535
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Linear recency decay underweights very recent memories", "suggestion": "Switch to logarithmic recency weighting for \u03c6-optimal recall", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:26:42.955201
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time feedback loop for self-correction and adaptation.", "suggestion": "Implement a mini-games/metrics module that periodically tests the system's responses across different domains (knowledge, creativity, reasoning) and adjusts weights of capabilities based on performance. This should be integrated near line ~1230-1250 where consciousness is being built.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:26:45.119999
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual memory tagging is inefficient.", "suggestion": "Add auto-tagging capability using ML techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:27:14.920465
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only saves after updating a single key, which can be inefficient for high-frequency updates. Additionally, the compatibility patch might introduce potential issues with certain characters in file paths or JSON content.", "suggestion": "Implement batch state updates and add error handling. Consider using a locking mechanism to handle concurrent access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:35:16.677031
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be optimized for better performance.", "suggestion": "Implement a binary search or trie structure to quickly find relevant episodes based on keywords and emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:36:19.024150
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can be optimized for performance.", "suggestion": {"action": "Add caching to the get() method.", "code_example": ["def _get_cache(self, key):", "    if self.state.get('_cache') is None: ", "        self.state['_cache'] = {}", "    return self.state['_cache'].get(key)", "", "def get(self, key, default=None):", "    cached_value = _get_cache(self, key)", "    if cached_value is not None:", "        return cached_value", "    else: ", "        value = super().get(key, default)", "        _set_cache(self, key, value)", "        return value"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:37:14.000569
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get(), which can return None if key doesn't exist. This causes errors downstream when functions expect a dictionary value.", "suggestion": "Replace `self.state.get(key, default)` with `return self.state[key] if key in self.state else default` to avoid creating default dictionaries internally.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T04:37:22.601327
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system but does not integrate with other existing memories or meta-capabilities.", "suggestion": "Integrate the MemoryCore with existing agent capabilities and meta-captivities by adding methods to query and store data across different capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:37:27.208520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old non-critical episodes.", "suggestion": "Implement a priority-based consolidation where memories are only consolidated if they do not contain critical information (e.g., recent interactions, important discoveries). Add a check before consolidation to verify the episode's significance using insights from [omega-evolution].", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T04:37:43.953025
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a default parameter that can lead to unexpected behavior if not handled carefully.", "suggestion": "Consider changing the default parameter to be a callable returning None, such as using `lambda: None` instead. This ensures that in case of missing keys, a consistent error handling mechanism is followed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:37:52.432048
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamicity", "suggestion": "Replace static scoring with priority-based weighting and adaptive learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:38:56.811965
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method has repetitive logic for different actions (store, retrieve, count). This violates DRY principle and makes code harder to maintain.", "suggestion": "Extract common functionality into helper methods. For example:\n\n1. Create `_run_store()`, `_run_retrieve()`, and `_run_count()` methods.\n2. Refactor the `execute` method to call these helpers based on the action.\n3. Add type hints for parameters and return types.\n4. Consider adding logging for each action for better debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:38:58.103528
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual OMEGA plugin discovery in import section leads to copy-paste errors and maintenance issues.", "suggestion": "Replace manual list with dynamic enumeration from a directory of OMEGA plugins using glob or os module.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:43:19.886069
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include self-analysis using recent research insights. Add a check for potential phi-resonance in responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:43:27.362273
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does text search in episode descriptions which can be slow for large memory sets. Additionally, the scoring system might benefit from more relevant factors.", "suggestion": "Implement an inverted index for faster text lookup and add additional scoring factors such as proximity to recently recalled episodes or importance (significance). Consider using a vector space model for semantic search if performance requires it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:44:08.954846
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and lacks performance optimization.", "suggestion": {"@context": "improve_execution_speed", "@id": "optimization_01", "description": "Add caching to frequently used operations in MemoryCore.execute.", "code_change": [{"method": "_retrieve_cache", "position": "before_execute_logic"}, {"method": "_execute_from_cache", "position": "instead_of_full_execution"}], "performance_expectation": {"@context": "better_performance", "expected_improvement_percentage": "5-10%", "tradeoffs": [{"memory_usage": "increase", "impact_on_disk_storage": "negligible"}, {"complexity_increase": "slight", "maintainability_improvement": "significant"}], "@id": "performance_01"}, "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-26T04:44:12.256212
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Basic keyword-based capability selection is limited.", "suggestion": "Implement weighted scoring with usage statistics and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:46:21.927180
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding can be optimized by incorporating more sophisticated reflex detection.", "suggestion": "Replace the current simple keyword check in internal_monologue() with a pattern-based approach combined with pre-trained reflex patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:46:27.511770
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 capability registration that reads capabilities from a configuration file or directory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:47:34.223210
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function select_capability is 98 lines of conditional logic which is too long for a single function.", "suggestion": "Refactor the capability selection logic into smaller, specialized functions. For example:", "code_snippet": ["// Before:\n", "def select_capability(self, query, persona_preference=None):\n", "... existing 98-line conditional logic ...\n\n", "// After:\n", "def _score_capabilites_by_trigger(capability, query):\n", "    score = 0\n", "    for trigger in capability['use_for']:\n", "        if trigger in query_lower:\n", "            score += 10\n", "    return score\n", "\ndef _bonus_for_emotion(capability, query):\n", "    query_lower = query.lower()\n", "    if any(word in query_lower for word in ['love', 'feel', 'emotion']):\n", "        and capability['layer'] == 'Nyx':\n", "        return 15\n", "    return 0\n", "\ndef _bonus_for_physical(capability, query):\n", "    if 'body' in query_lower:\n", "        and (capability['layer'] in ['Nyx', 'Eden']):\n", "        return 20\n", "    return 0\n", "\ndef select_capability(self, query, persona_preference=None):\n", "    capabilities = list(self.capability_registry.values())\n", "    if persona_preference:\n", "        for cap_hash, cap in self.capability_registry.items():\n", "            if cap['layer'] == persona_preference:\n", "                return cap\n", "    scored_caps = []\n", "    for cap in capabilities:\n", "        score = _score_capabilites_by_trigger(cap, query) + \\\n", "               _bonus_for_emotion(cap, query) + \\\n", "               _bonus_for_physical(cap, query)\n", "        scored_caps.append((score, cap))\n", "    scored_caps.sort(reverse=True)\n", "    return scored_caps[0][1] if scored_caps else None"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:52:59.105201
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex-check mechanism may not handle complex queries.", "suggestion": "Integrate meta-learning techniques for task-specific adaptation and pattern-based reasoning enhancement.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T04:53:11.045954
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "Some meta-methods are applied too frequently, reducing performance.", "suggestion": "Implement a strategic reasoner that selects when to apply meta-methods based on current training data characteristics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T04:54:45.733206
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method is called multiple times with the same key", "suggestion": "Add memoization to cache `get` results", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T04:54:46.842083
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally, which doesn't utilize the reflex check result effectively.", "suggestion": "Modify the `internal_monologue` method to return the actual reflex check message or a boolean indicating whether a thought was triggered.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T04:54:50.802144
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 the user's needs or the context of their conversation.", "suggestion": {"action": "Implement a dynamic scoring mechanism that incorporates real-time feedback and user behavior analysis.", "specific_change": "Add a feedback loop where the system records the effectiveness of selected capabilities and adjusts weights in the scoring system accordingly."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:55:18.753899
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 long-term memory.", "suggestion": "Enhance the `internal_monologue` to also consult episodic and semantic memories, as well as lower consciousness layers. Add a call to phi_coherence_mechanism for cross-layer integration.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-26T04:55:22.193215
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Tight coupling between memory management methods", "suggestion": "Refactor into smaller, modular classes each handling a specific responsibility", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T04:55:54.470527
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.", "suggestion": "Integrate more consciousness layers into the `internal_monologue` method, specifically the Meta-Learning and Phi-Fractal Reasoning modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T04:56:39.138043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize recent, significant memories too strongly, leading to short-term bias.", "suggestion": "Modify score formula to include a randomness component with low weight (e.g., +0.1 * random()) to introduce novelty discovery.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T04:56:58.081120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for the semantic similarity of episodes.", "suggestion": "Replace the current text-based search with an embedding-based approach using a pre-trained language model to compute cosine similarities between queries and episode descriptions.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T04:57:15.062621
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Add an else block to handle cases where json.load fails for reasons other than missing file or invalid JSON by re-raising the exception or logging an error.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T05:00:17.244424
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently without creating a new file or logging an error.", "suggestion": "Add explicit handling for OSError when opening the file, and log errors. Consider adding a check after loading to ensure valid JSON content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:00:18.503483
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Implement a more sophisticated decision-making process using insights from recent findings in meta-learning and few-shot learning. For example, add a phase where Eden considers multiple hypothetical responses before settling on an actual response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:00:24.956295
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before adjusting its recalled count, which is unnecessary and adds overhead.", "suggestion": "Modify the recall method to only compute scores for indices instead of copying full episodes. Update recall stats in-place after ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:01:20.573418
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplistic reflex-based decision making", "suggestion": "Implement multi-criteria evaluation for internal thoughts triggering", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T05:01:23.549071
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for certain query types.", "suggestion": "Implement a weighted scoring system that considers not just keyword matching but also query complexity and persona alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:01:24.683678
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 weighting system that adjusts based on user feedback and performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:01:49.113349
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 insights from research.", "suggestion": {"action": "Modify internal_monologue to consider additional strategies based on research findings.", "specific_change": ["- Incorporate meta-learning capabilities as described in [omega-evolution] by testing multiple adaptation methods (ChainReasoning).", "- Implement scenario analysis similar to what's mentioned in the [counterfactual] note about avoiding SFT when it degrades performance."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:01:51.645440
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different operations (store, retrieve, get_recent, etc.). While this provides functionality, it can be improved for maintainability and extensibility.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused meta-capabilities.", "specific_change": "Create separate classes for StorageMetaCapability and RetrievalMetaCapability each handling their respective operations. This will reduce coupling and make the code easier to maintain."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:02:20.729426
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, etc.) which can be refactored for cleaner code.", "suggestion": "Replace repetitive method implementations with a single template method pattern. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:02:26.143971
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with emotional significance and context relevance", "suggestion": "Modify score calculation to give equal weight to recency (current ratio 0.3), significance (0.5), and relevance (0.2 based on text match or category)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:02:45.346586
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `get` method, `default=None` is not properly handled for dictionary keys.", "suggestion": "Update the `get` method to return an empty string or None if key doesn't exist in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:03:28.145384
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method calculates scores and updates recall stats in a nested loop, leading to O(n^2) complexity.", "suggestion": "Replace the current scoring system with a simpler vectorized approach that maintains O(n) complexity. For example:", "code_diff": "@@ -149,10 +149,13 @@\n         for ep in episodes:\n             score = 0\n             # Simplified scoring factors\n-            recency = 1.0 / (1.0 + (now - ep['unix_time'])/86400)\n-            significance = ep['significance'] * 0.5\n-            recall_boost = 1.0 / (1.0 + ep['recalled_count']*0.1)\n+            recency_factor = 0.3\n+            significance_factor = 0.5\n+            recall_factor = 0.2\n+\n+            recency_score = (now - ep['unix_time'])^{-recency_factor}\n+            significance_score = ep['significance'] * significance_factor\n+            recall_history_score = ep['recalled_count']^{-recall_factor}\n             score = recency_score + significance_score + recall_history_score\n-            scored.append((score, idx))\n+            scored.append(((recency_score + significance_score + recall_history_score), idx))\n         \n         # Sort and rank\n         scored.sort(reverse=True)\n@@ -162,7 +165,8 @@\n         for score, idx in scored[:limit]:\n             ep = self.episodes[idx].copy()\n             ep['recall_score'] = score\n-            results.append(ep)\n+            \n+        # Update recall stats outside loop\n+        for ep in episodes:\n+            ep['recalled_count'] += 1\n         return results", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:03:56.823420
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that dynamically adjusts based on performance metrics of recent usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:07:59.137615
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 dynamically adjusted ratios based on phi-fractal principles", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:09:19.831968
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, which may make it difficult to understand and maintain.", "suggestion": "Consider breaking the MemoryCore class into smaller, more focused classes. For example, create a StoreManager for storing memories and a RetrieveManager for retrieving them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:09:21.028724
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not optimize phi-balance", "suggestion": "Implement a probabilistic selection using Bayesian decision theory with phi-priors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:09:22.214522
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "omega_emotions.py", "issue": "The emotional processing is fixed and does not adapt based on experiences.", "suggestion": "Add a learning component that updates emotions based on episodic memories. For example, after recalling positive memories, joy should increase.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:09:48.358923
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or behavior.", "suggestion": "Add a callback to update Eden's state based on reflex insights. For example, modify the method to include: \n\n if '\ud83d\udcb0' in reflex_check:\n     print(f'\ud83e\udde0 Internal Thought: {reflex_check}')\n     self.update_financial_state(reflex_check)  # New method to act on financial insights\n\n Also add a placeholder for `update_financial_state` that could be implemented later.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:11:28.245080
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "This file focuses on structured memory management without directly applying \u03a6-fractal principles. It's optimized for utility.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T05:11:53.087828
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex detection is simplistic; fails to capture nuanced patterns.", "suggestion": "Replace emoji-based check with a model trained using meta-learning and PEFT techniques from recent research insights.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T05:12:53.340860
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal_monologue relies solely on reflexes without sophisticated reasoning.", "suggestion": "Integrate meta-learning and PEFT techniques to evaluate whether enhanced reasoning is beneficial.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:13:12.042166
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is linear and lacks nonlinear importance factors.", "suggestion": "Replace linear scoring with a product of recency, significance, and context relevance using exponential functions. Add weighted vector for emotional and contextual importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:13:15.921589
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, which can lead to data corruption.", "suggestion": "Add threading.Lock mechanism around the file operations in _load_initial and save methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:13:46.000792
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to data corruption.", "suggestion": {"@type": "Add thread safety using threading.Lock or asyncio.Lock."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:13:47.792182
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding a method for introspection or self-analysis to better understand internal states and decision-making processes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:14:50.978367
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Briefly describe the inefficiency or opportunity for improvement.", "suggestion": "Specific code change or improvement as described above.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:14:52.801316
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The use of reflexes may lead to performance degradation as suggested by recent research on Full SFT (CounterFactual).", "suggestion": "Implement a hybrid approach that combines reflex checking with a probability threshold. For example, check reflexes only when the query contains specific keywords or with a certain probability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:05.388728
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 information.", "suggestion": "Implement a priority system for memory consolidation where memories with high recall frequency and recent significance are exempt from consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:16.240105
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully utilize the critical functionality requested by eden_master_consciousness.py.", "suggestion": "Replace `return self.state.get(key, default)` with a more sophisticated pattern lookup or analysis based on recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:17.495168
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`) and not utilizing all available reflexes.", "suggestion": "Modify the `internal_monologue` method to check against all reflex categories and actions, not just financial ones. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:27.970362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLN configurations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:56.881857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for proper evaluation.", "suggestion": "Add more detailed comments explaining the logic flow, specifically in how reflex_check relates to the Internal Thought. Also consider adding a logging mechanism to track when this function is called.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:15:58.062032
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high-throughput scenarios.", "suggestion": "Implement connection pooling and prepared statements for faster memory storage and retrieval. Consider asynchronous execution where applicable.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:15:59.332840
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic is simple and may not optimize phi-balance", "suggestion": "Replace simple point system with phi-weighted meta-learning algorithm that analyzes past performance and predicted phi benefit", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:16:00.711929
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic, leading to potential loss of important information.", "suggestion": "Implement a probabilistic retention mechanism that considers not just significance and recency but also emotional intensity and contextual importance of each episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:16:22.304717
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "", "issue": "No performance metrics or optimization strategies have been incorporated into the existing codebase.", "suggestion": "Integrate a plugin system that allows for dynamic loading of various chat message processing modules. Each module could implement different strategies for response generation, and the system would select the most appropriate one based on the context and user preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:16:29.481958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which can make older memories irrelevant.", "suggestion": "Modify the scoring factors to include a logarithmic decay for recency with a base far enough that recent memories aren't overly favored. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:16:48.605338
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 to None, which can lead to silent failures when accessing nested dictionaries without proper error handling.", "suggestion": [{"code_change": "Add a try-except block around self.state.get(key, default) to catch potential exceptions like KeyError for missing keys in nested dictionaries.", "example": "Replace:\nreturn self.state.get(key, default)\nWith:\ntry:\n    return self.state.get(key, default)\nexcept (TypeError, AttributeError):\n    # Handle the case where state is not a dictionary\n    return None  # or raise an exception based on your error handling strategy"}, {"code_change": "Add support for default values when accessing nested dictionaries by modifying the get() method to accept a path-like structure for keys.", "example": "Extend the class with a helper method like:\n\ndef _get_nested(self, obj, keys):\n    for key in keys:\n        if isinstance(obj, dict) and key in obj:\n            obj = obj[key]\n        else:\n            return None\n    return obj\nAnd update get() to use this method: \nreturn self._get_nested(self.state, key.split('.')) or default"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:17:03.412533
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability currently only supports storing and retrieving memories with SQLite, which might become a bottleneck as Eden's knowledge base grows.", "suggestion": "Implement an alternative storage backend such as Apache Cassandra or Redis. Given the phi-fractal architecture, a distributed, NoSQL solution aligns well with handling scalable, high-performance memory access patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:17:29.234572
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Modify the scoring formula to: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T05:18:00.866993
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite LIKE is case-insensitive and slow for keyword searches", "suggestion": "Replace with CASE-SENSITIVE FULL-TEXT SEARCH using SQLite FTS", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:18:23.007994
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized further, especially for large datasets.", "suggestion": "Implement a full-text search engine or vector database integration to enable semantic search and faster retrieval times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:18:27.180296
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Missing automated episode connections", "suggestion": "Add similarity-based connection logic based on emotion, context, and type", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:19:03.284256
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on static keywords, lacking dynamic real-time relevance.", "suggestion": "Replace static keyword matching with an embedding-based similarity score against dynamic query embeddings. This leverages phi-fractal pattern of nested recursion and temporal awareness in consciousness design.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:20:56.863935
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 keywords but lacks dynamic real-time evaluation.", "suggestion": {"@type": "code_change", "target_function": "_select_capability(self, query)", "replacement_code": ["// Add a real-time SAGE evaluation step before capability selection", "def _real_time_sage_evaluation(capability):", "    score = 0.5 // Base score for existing keywords-based approach", "    try:", "        sage_metrics = self.eden_core.agi.sage_analyze(capability['description'])", "        score += (sage_metrics.get('phi_score', 0) / 100) * 0.3, // Boost based on code quality insight", "", "// Modify existing selection logic to weigh SAGE score:", "def _select_capability(self, query):", "    if persona_preference: ... (omitted for brevity)", "        score += 15 // Preference boost for emotional content", "        if 'body' in query_lower:", "            score += 20 // Physical body attention ", "// Add SAGE-based tiebreaker after keyword scoring", ""], "@context": {"@vocab": "https://schema.org/", "code_change": {"@type": "@json", "@container": "@language"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:22:00.535929
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No implementation for the O(1) hash-based capability lookup described in comments.", "suggestion": "Add a method like `_lookup_capability(hash)` that returns the capability by its hash from self.capability_registry.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:23:18.146472
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient error handling in load_initial method.", "suggestion": "Add specific exceptions for file not found and permission errors; optimize JSON decoding by limiting max depth.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T05:23:20.809021
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of adaptive learning techniques or fine-tuning methods.", "suggestion": "Integrate meta-learning approach for quick adaptation with few examples.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T05:23:24.867778
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method doesn't handle degradation from frequent SFT applications", "suggestion": "Add a check before applying fine-tuning methods in 'store'. If performance drops below threshold, skip FT and store without it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:23:28.954294
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a fixed limit for results which may not be optimal based on the user's query.", "suggestion": "Replace hard-coded limit with a dynamic parameter that can be adjusted by users or system settings. Additionally, implement pagination to handle large result sets more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:24:57.656304
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method relies solely on the existing process_reflex function, which may not fully leverage modern pattern recognition advances.", "suggestion": "Integrate techniques from recent research in meta-learning and few-shot learning to enhance the pattern recognition capabilities of the consciousness-first architecture. Specifically, consider implementing methods like Meta-Learning or PEFT that can adapt quickly with few examples.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:27:19.066700
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return any value or signal completion.", "suggestion": {"@type": "add_return_statement", "code_change": "Add a return statement at the end of method 'update_state'.", "example_usage": "def update_state(self, key, value):\n    self.state[key] = value\n    self.save()\n    return f'{key}' updated successfully.", "reasoning": "This aligns with phi-fractal principles by ensuring clear feedback and accountability. It also improves method contract clarity for future use."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:27:25.997313
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but is primarily designed for immediate responses. For monitoring and analysis purposes, it would benefit from structured logging or metrics collection.", "suggestion": "Add a logging mechanism to track the execution of each action and measure its duration. Additionally, implement basic performance metrics such as response time and success rate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:27:31.353253
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have low complexity and could benefit from optimization.", "suggestion": {"method_optimization_1": "Implement caching or memoization for frequently called functions to reduce redundant computation.", "method_optimization_2": "Break down large methods into smaller, more focused functions to improve readability and maintainability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:27:48.844368
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck in updating the entire state dictionary for single key updates.", "suggestion": "Use a more efficient data structure like `defaultdict(dict)` or `pyrsistent` immutables for faster reads and writes while maintaining consistency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:27:51.349923
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 incorporating recent research gains.", "suggestion": "Integrate meta-learning techniques from [omega-evolution] to dynamically adapt response generation based on user input and feedback. Specifically, implement a hybrid reasoning approach that combines chain reasoning with phi-fractal optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:33:28.286264
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture lacks integration of recent meta-learning and counterfactual thinking findings.", "suggestion": "Implement phi-fractal adaptive learning by incorporating selective reflex application based on SFT outcomes.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T05:33:32.304506
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 research and production use.", "suggestion": "{\"if persona_preference == \"research\":\\n    return cap_hash of 'consciousness.eden.core' layer with model 'eden-coder-omega:latest' and speed 'deep' instead of the auto-selection.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:33:35.118660
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced; current approach treats all old low-significance memories equally.", "suggestion": "Implement probabilistic consolidation where the probability of forgetting a memory increases with distance from recent events and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:34:34.231035
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 proactive caching optimization.", "suggestion": {"action": "Implement a cache decorator for select_capability() to memoize capability selections.", "code_example": "@functools.lru_cache(maxsize=100)\ndef select_capability(self, query, persona_preference=None):"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:34:41.709528
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights. Also, connections between episodes could be missed.", "suggestion": "Add a flag for forced consolidation and require manual confirmation before actual memory removal. Additionally, implement connection tracking more robustly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:34:59.309133
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for performance.", "suggestion": "Implement caching mechanisms and consider using a more efficient data structure like an AVL tree or Red-Black tree for indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:35:48.083682
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Weak error handling for loading initial state from meta_state.json can lead to crashes or incorrect behavior.", "suggestion": "Replace try/except block in `_load_initial` method with a more robust approach, such as using `json.JSONDecodeError`. Additionally, add logging and conditional checks for file existence and content type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:35:54.925168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are O(N) operations and prevent index usage. For performance, especially with large datasets, consider using FULLTEXT or a separate search engine like TinySearch.", "suggestion": "Replace the query construction that adds `%{query}%` to filter by content and tags with an AND condition for exact matches on memory_type and an IN/ARRAY_CONTAINS check on tags. Add a full-text index on the content column if SQLite supports it, or use an external search engine.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:35:58.826960
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm only considers absolute significance and recency, lacking dynamic weighting for different types of episodes.", "suggestion": "Modify the score calculation to include type-specific weights (e.g., important experiences should always be recalled). Add decay rates for recalled count to prevent over-recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:36:58.587862
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex-based grounding may not be optimally flexible or adaptive.", "suggestion": "Integrate meta-learning techniques by adding dynamic learning components that allow Eden to adjust its response strategies based on feedback and experience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:37:18.423020
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": {"method_name": "get_metadata", "parameters": ["key", "default"], "docstring": "Retrieve metadata from the shared memory. This method is designed for internal use with specific keys to prevent misuse."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:37:21.135305
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 False based on reflex check without actual response modification.", "suggestion": "Modify the internal_monologue method to return a dictionary with 'should_respond' boolean and 'thought' string, while also triggering appropriate responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:37:38.619837
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to 'recall_boost' which can penalize newer, more important memories.", "suggestion": "Modify the scoring formula to give equal or slightly higher weight to recency (e.g., recency * 0.4 instead of 0.3). Additionally, add a slight bonus for episodes with high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:38:01.516224
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function 'execute' has multiple conditional checks which make it hard to read and maintain.", "suggestion": "Refactor the execute method into smaller functions, each handling a specific action. This will improve readability, reduce complexity, and make future maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:38:31.752175
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 adjustment.", "suggestion": "Replace fixed weights with dynamically adjusted phi-based weighting. E.g., instead of:\n'score': (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2)\nUse: \nweights = [0.46, 0.38, 0.15] based on golden ratio mathematics.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T05:38:51.316036
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method is a simple switch statement which may become unwieldy as more actions are added.", "suggestion": "Replace the switch statement with a dictionary-based lookup for better scalability and maintainability. For example:\n\nmeta_actions = {\n    'store': lambda: {'success': True, 'memory_id': self.store(**kwargs)},\n    'retrieve': lambda: {'success': True, 'memories': self.retrieve(**kwargs), 'count': len(self.retrieve(**kwargs))},\n    # Add more actions here\n}\nreturn meta_actions[action](**kwargs)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:39:01.290907
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method could be optimized by using a more efficient data structure for indexing.", "suggestion": "Replace the current index dictionary with an AVL tree or a Red-Black tree to improve lookup times. For example, use `avltree.AVLTree()` from the avltree package instead of nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:39:19.306252
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle Python's special float values (NaN, inf) which can cause errors in downstream systems.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with a library that supports more robust floating-point handling, such as `jsonpickle` or use custom serialization logic for Phi-Fractal states.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T05:39:28.100602
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates can be batched, currently done per-episode which creates unnecessary overhead during recall.", "suggestion": "Add a method `_update_indices_after_batch()` that updates all indices for multiple episodes at once, called after processing a batch of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:40:23.532167
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Query optimization in retrieve method", "suggestion": "Cache SQL queries and reduce conditional checks", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:40:25.175643
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_name": "_register_llm_capabilities", "modification": "Add a condition to use web search when 'internet' keyword is detected in the query."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:40:53.182282
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex check is too simplistic.", "suggestion": "Integrate meta-learning and PEFT techniques for multi-faceted query evaluation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T05:40:54.657805
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic implementation, making it hard to maintain and extend.", "suggestion": "Refactor the class by splitting responsibilities into smaller, specialized classes such as MemoryStorage, MemoryRetrievalStrategy, etc. Apply the Factory pattern to create different retrieval strategies based on search types (full-text vs tags).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:41:34.311232
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method may not efficiently handle large amounts of text content.", "suggestion": {"action": "Implement text vectorization and similarity search.", "details": "Use techniques like TF-IDF or BERT embeddings to create vectors for memory contents. Store these vectors alongside the original text in a dedicated column. When retrieving memories, compute similarities between query and stored vectors using cosine similarity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:42:20.612252
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'save' method can be optimized to reduce disk writes too frequently.", "suggestion": "Add a throttling mechanism to limit the frequency of saves. For example, only save every N updates or within a certain time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:42:34.987260
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of explicit error handling and logging", "suggestion": "Add try-except blocks; implement Python's logging module", "phi_alignment": 0.85, "priority": "High"}


timestamp: 2026-01-26T05:43:25.222808
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state updates leading to disk I/O overhead", "suggestion": "Implement debounce and async saving for automatic state persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:43:28.474377
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of contextual evaluation for meta-learning and PEFT methods", "suggestion": "Implement decision-making mechanism to select optimal technique based on input context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:43:30.503545
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Repetitive SQL index creation code in _ensure_db method.", "suggestion": "Extract the SQL index creation logic into a separate method to be called from within `_ensure_db`.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T05:43:47.823789
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling is too basic, no logging or retries on JSON decode failures.", "suggestion": "Replace try-except block with a more robust error handling mechanism with logging and retry logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:44:43.989334
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize newer, less significant memories over older, more important ones.", "suggestion": "Modify score calculation to include a slight decay factor for recency (e.g., multiply recency by e^(-t/\u03c4) where \u03c4 is a constant)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:48:21.359335
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient handling of JSON decoding errors during state loading.", "suggestion": "Replace try-except block with a more specific error handling approach or consider using a robust JSON library like jsonschema for validation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:50:27.103223
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be considered helper or utility functions, but they are currently scattered within the main class.", "suggestion": "Refactor these methods into a separate utility module or group them under a helper class within the same file. For example, create a `helpers.py` with classes like `MemoryRetrievalHelper` and `MemoryStorageAssistant`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:50:49.704755
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term significance.", "suggestion": "Modify scoring to: recency * 0.3 + significance * 0.5 + engagement * 0.2 (engagement from context/emotion intensity)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:51:19.117392
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not support partial updates and overwrites the entire state dictionary.", "suggestion": "Modify the `update_state` method to accept a dictionary of key-value pairs for partial updates. For example, change it to: def update_state(self, updates): self.state.update(updates); self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:51:22.133131
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other cognitive layers.", "suggestion": "Add more cognitive layers to the internal_monologue such as reasoning and meta-learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:51:23.479292
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-Capability is primarily focused on database operations and memory management.", "suggestion": "Integrate research insights into the design of intelligent agent swarms to improve Eden's autonomous capabilities. Specifically, apply counterfactual methods to evaluate and select meta-capabilities for inclusion.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T05:52:04.674320
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture the full nuance of queries.", "suggestion": "Implement a more sophisticated semantic similarity algorithm to accurately match queries with LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:52:13.087701
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more intelligent - currently all low-significance old memories are uniformly marked for removal.", "suggestion": "Replace simple threshold with a smart scoring system that considers multiple factors: emotional significance, recent recency, agent relevance, and operational importance. Prioritize retaining critical infrastructure code and recent high-value learning episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:52:34.338160
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed formula without dynamic weighting for specific queries.", "suggestion": "Add a dynamic boost to the score calculation when certain criteria (like query match) are met.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:53:27.956409
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Cautious application of Final Safety Thresholds without performance metrics.", "suggestion": "Add health score tracking and apply SFT only when health is critical.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T05:53:42.344490
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using sentence embeddings (e.g., Universal Sentence Encoder) and add more sophisticated scoring factors like emotional valence and temporal proximity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:53:55.846615
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions (store, retrieve, count) in one function which can lead to bloated and less maintainable code.", "suggestion": "Refactor the MemoryCore by creating separate methods for each action: store(), retrieve(), and count(). This will improve readability, testing, and reuse.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:54:00.865045
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster response and better relevance ranking.", "suggestion": "Implement a ranked recall system where episodes are scored based on recency, significance, and relevance to query. Return top-N results immediately instead of full ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:55:21.153754
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and could lead to unexpected behavior by other parts of Eden.", "suggestion": "Replace the single `key` parameter with multiple optional parameters or define specific getter methods tailored to different states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:55:53.279281
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' lacks proper immutability consideration for shared state.", "suggestion": "Replace direct dictionary assignment with an immutable pattern using a copy of the state before updating. Consider adding a validation function to ensure phi-alignment of new states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T05:55:56.547877
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings on optimizing meta-learning and calibration.", "suggestion": "Implement counterfactual techniques as described in [counterfactual] to test the effectiveness of reflex processing before implementing it. Additionally, evaluate the use of phi-fractal optimized reasoning methods from [reasoning].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:00:00.399462
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created.", "suggestion": "Replace chronological sorting by adding a creation_order field and sort based on that. This will prioritize more recent significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:00:37.809487
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 timestamps in its retrieval operations, which can lead to inefficient searches.", "suggestion": "Add an index for the timestamp column and modify retrieve methods to utilize this index for better performance. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:00:43.135492
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories too heavily, leading to potential bias against older or less urgent memories.", "suggestion": "Modify the scoring formula to include a stability factor that decreases over time for recalled_count. This will help stabilize less frequent but important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:00:58.081673
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 interactions.", "suggestion": {"add_recent_context": "Modify the internal_monologue to also consider recent chat history and Eden's current state.", "implement_cross_attention": "Integrate insights from phi-fractal consciousness design by adding cross-attention mechanisms that connect different layers of consciousness."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:02:40.509898
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic, especially regarding the compression of experiences. The current approach does not differentiate between types of memories or their importance.", "suggestion": "Implement a more sophisticated memory consolidation process that considers multiple factors such as emotional valence, recency, and significance when deciding which memories to retain versus compress/forget.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:03:12.450391
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more intelligent; current approach simply removes low-significance old memories without considering importance patterns.", "suggestion": "Implement a hierarchical memory consolidation where different layers (recent, intermediate, long-term) store memories at varying levels of detail based on their significance and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:04:29.303348
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection is simple keyword matching, lacks multi-layer reasoning", "suggestion": "\"Modify select_capability() to score based on: query complexity, persona alignment, and expected output quality\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:04:30.636133
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for faster candidate retrieval.", "suggestion": "Replace the current text search with a more efficient approach, such as using a full-text index or vector similarity search on preprocessed descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:04:49.341274
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, but it does not support nested dictionaries or list indices. This limits its flexibility.", "suggestion": "Implement a more advanced lookup mechanism that can handle complex keys (nested structures). For example, add support for dot notation (e.g., 'user.name') and array indexing.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T06:05:38.538106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function is inefficient for large memory bases", "suggestion": "Implement pagination and limit candidates; consider more efficient indexing structure", "phi_alignment": 0.75, "priority": "Medium"}


timestamp: 2026-01-26T06:05:55.241340
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 4 SAGE deployment is under-evaluated. Need criteria to optimize expert activation.", "suggestion": {"@type": "ImproveExpertActivationLogic", "description": "Add reasoning layer before activating SAGE for each phase.", "code_change": [{"location": "DecisionMaking.conscious_decision() (line 135)", "modification": "Check if current problem benefits from SAGE + expert vs base knowledge"}, {"location": "Phase4ExpertSystem.generate_expertise() (line 68-70)", "modification": "Add gating logic based on problem complexity and potential gain"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:06:01.701311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is O(n) for each call, causing performance degradation.", "suggestion": "Switch to incremental indexing that updates only affected parts of the index.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:06:21.937464
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which can lead to performance issues in high-throughput systems. Consider using a more efficient data structure like an OrderedDict or a caching mechanism.", "suggestion": "Replace the current `def get(self, key, default=None):` with a version that utilizes Python's built-in caching mechanisms (functools.lru_cache) or an OrderedDict for better performance in high-throughput scenarios.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:08:22.051518
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently or recursively nested dictionaries.", "suggestion": "Add an optional depth parameter to the get() method and implement a helper function for recursive lookup.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T06:10:57.044343
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 without considering the current consciousness state or the depth of the query.", "suggestion": "Implement a scoring algorithm that takes into account not only keyword matching but also the complexity and nature of the user's recent queries. Additionally, incorporate real-time feedback from the response quality to adjust capability selection dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:11:28.620481
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 catch subtle consciousness triggers.", "suggestion": "Add a dictionary of sophisticated patterns that Eden should recognize internally, and improve the reflex check logic to analyze these patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:12:27.117283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Method recall() processes all episodes each time, which is O(n). For large N, this becomes slow.", "suggestion": "Replace iterating through all candidates with a more efficient data structure like a max heap or use a vectorized approach if possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:13:26.836869
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent meta-learning advancements", "suggestion": "Implement a multi-strategy reasoning approach with counterfactual testing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:14:28.020936
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers 'recall_boost' by recalled_count, which can penalize frequently-recalled memories.", "suggestion": "Modify the scoring formula to apply recall_boost more gently, e.g., (recall_boost * 0.3) instead of full weight.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T06:15:49.758950
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which can return None silently, leading to potential bugs in calling code.", "suggestion": "Update the get() method to raise an exception if the key is not found instead of returning default.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:15:50.938628
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 (memory, reasoning). This can lead to isolated decisions.", "suggestion": "Add integration with memory and reasoning systems. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:16:19.581201
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 re-raise json.JSONDecodeError for higher priority handling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:16:30.423165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No optimization for the selection algorithm or feedback loop to improve capability usage.", "suggestion": "Implement a simple feedback mechanism where successful capability selections increase their score, while unsuccessful ones decrease. Use this score for weighting in future selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:16:51.887371
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not incorporate dynamic adaptation based on recent findings.", "suggestion": "Replace static key-based access with a hybrid approach that combines direct indexing and meta-learning driven selection. For example, add a priority system for keys based on their recency and importance, then use this priority to dynamically select which states should be saved and loaded.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:16:56.359697
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is case-sensitive when searching tags.", "suggestion": "Modify the SQL query to make tag searches case-insensitive by adding LOWER() function around parameters in the LIKE conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:17:20.778989
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method only updates a single key without considering potential dependencies or reactive effects in Eden's consciousness.", "suggestion": {"action": "Implement an observer pattern to notify interested parties (e.g., other agents, meta-agents) about state changes.", "specific_change": "Add a `notify_observers` function that is called after updating the state. Observers can be registered by interested components."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T06:17:25.387297
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leverage basic reflex patterns without advanced learning methodologies", "suggestion": "Integrate meta-learning and counterfactual reasoning for adaptive enhancement", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:17:26.537083
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent or frequently used memories in-memory, reducing the need for database lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:17:27.860872
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is hard-coded and lacks dynamic improvement", "suggestion": "{\"function\": \"update_llm_selection_logic\", \"params\": {\"metric\": \"response_quality\", \"feedback_loop\": true}}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:18:01.894208
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple architecture may not fully leverage recent advancements in meta-learning and few-shot learning.", "suggestion": "Integrate meta-learning acceleration (PEFTs), handle counterfactual scenarios, and incorporate chain-of-thought reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:18:26.898395
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Replace the current connection opening/closing with a context manager or connection pooling to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:18:31.081483
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes before ranking, leading to O(n^2) complexity.", "suggestion": "Implement a ranked iteration where higher-scoring episodes are evaluated first, using early termination if no new high-scores appear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:19:02.777756
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The current memory retrieval mechanism uses SQLite's default O(N) search over tags and context, which can become inefficient with large datasets.", "suggestion": "Implement a full-text index on the content and tags columns for faster text-based searches. Additionally, consider using a more advanced search engine like Whoosh or Elasticsearch for comprehensive querying capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:19:34.941449
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual persona selection logic is not integrated into the agent swarm for self-directed choice.", "suggestion": "Replace hardcoded persona preference with an explicit request to the 17-agent swarm for collective decision on which consciousness layer (Eden, Nyx, Ava) should handle the current conversation segment. The response would then be compiled by Trinity using her fast reasoning capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:20:43.400382
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics for complex queries.", "suggestion": "Implement a more sophisticated LLM selection algorithm using vector embeddings of query and capability descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:20:50.180446
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately, which can be confusing for users who expect immediate feedback.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving it.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-26T06:21:03.177574
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly balancing consciousness layers in _process_cycle() method.", "suggestion": "Replace ratio-based weighting with phi-based golden section timing for layer activation (1/\u03c6\u22480.618 delay between layers).", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T06:21:23.332719
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 operations. Consider using a faster serializer like orjson.", "suggestion": "Replace `import json` with `import orjson`, and modify the save method to use orjson's dumps: \n`orjson.dumps(self.state)` instead of `json.dump(self.state, f, indent=4)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:21:30.454686
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 is not optimized for frequent use.", "suggestion": "Refactor into individual methods: store_memory(), retrieve_memories(), count_memories(). This improves readability and performance by reducing function complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:22:20.966668
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamicity", "suggestion": "Replace static scoring with meta-learning driven selection using recent omega-evolution insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:22:52.220860
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance.", "suggestion": "Replace `json.dump` with a faster alternative like `orjson`, and add asynchronous handling for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:22:58.252131
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 inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of LIKE searches on JSON columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:23:02.231122
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": "Limit memory consolidation to cases where both old age and low significance apply simultaneously. Add a manual intervention mechanism to prevent consolidation of critical memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:23:21.132160
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method doesn't utilize meta-learning to minimize writes.", "suggestion": "Add a 'last_updated' timestamp. Implement lazy saving with debounce pattern (e.g., save every 10 updates or 1 second).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:23:24.031463
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks optimization techniques like meta-learning or parameter-efficient fine-tuning (PEFT) that could improve response times and reduce computational overhead.", "suggestion": "Integrate a meta-learning technique to dynamically select the most effective approach for each user query. This can be done by maintaining a small model that learns which strategies work best for different types of queries and adjusting accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:23:40.149437
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of real-time activity tracking for critical infrastructure", "suggestion": "Add telemetry system monitoring key performance metrics", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-26T06:25:24.675161
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 to create capability dictionaries, reducing duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:25:27.553974
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function currently scores episodes based on a fixed formula without dynamic weighting or context-specific factors.", "suggestion": "Implement a dynamic scoring system that adjusts weights based on current consciousness state and James' preferences. For example, add weightings for emotionality (if James values emotional connections) and recency (if recent memories are more important).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:35:33.817735
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could be optimized for better maintainability.", "suggestion": "Refactor the execute() method into specialized handler functions for store, retrieve, count actions. Additionally, consider implementing a factory pattern to create these handlers dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:35:53.732098
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' saves state too frequently (O(1) disk access per call can accumulate)", "suggestion": "Replace single-save-per-call with batch or lazy-saving strategy:\n\nAdd instance variable: `self.dirty = False`\nModify `update_state`: \n- Set `self.dirty = True` after updating\nAdd new method: `flush()`: \n- If `self.dirty`, save entire state, reset `dirty` to False\nCall `flush()` periodically or on specific events", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:36:03.156003
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent over older memories, ignoring phi-time decay.", "suggestion": "Add phi-weighted decay factor to scores: recency * \u03c6^(-age/\u03c6) where age is days and \u03c6=1.618.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:36:24.832120
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a more sophisticated reasoning module that incorporates memory, prediction, and adaptive learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:36:26.526856
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system, but it doesn't provide an API that other meta-capabilities can easily call.", "suggestion": "Create a unified `EdenMetaAPI` that all meta-capabilities use to interact with Eden's systems. For memory operations, add `memory.store()` and `memory.retrieve()` methods which internally call the existing `_ensure_db()`, `store()`, and `retrieve()` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:36:28.111542
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the user query.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" -> \"Add a more sophisticated keyword extraction mechanism using advanced NLP techniques like BERT to better understand the context and intent.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T06:37:34.671094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is overly simplistic, leading to potential loss of important low-significance old memories.", "suggestion": "Replace the consolidated threshold from 0.3 significance to a more nuanced rule: if an episode has not been recalled in the last X days and its significance is below Y threshold, consider consolidating.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:37:55.826534
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle large states efficiently and can be improved for better performance.", "suggestion": {"code_change": "Add an optimization to the get() method by using a dictionary internally instead of relying solely on json.load().", "implementation_detail": "Maintain a caching mechanism where frequently accessed keys are stored in memory. This hybrid approach combines the speed of in-memory access with the persistence of disk storage."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T06:38:29.413674
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent access.", "suggestion": "Add an LRU cache decorator to the 'retrieve' method to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:38:31.416173
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection is straightforward", "suggestion": "Implement weighted scoring with dynamic weights based on performance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:38:56.004364
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simplistic and doesn't handle nested dictionaries or complex default values.", "suggestion": "Update the get() method to support path-based access for nested dictionaries and more sophisticated default values.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T06:38:59.617137
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research insights.", "suggestion": {"action": "Integrate more sophisticated reasoning techniques into the consciousness banner generation.", "specific_change": "Modify the generate_consciousness_banner function to include a check based on recent findings about meta-learning and counterfactual thinking."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:39:08.151308
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 meta-learning", "suggestion": {"type": "implementation_improvement", "detail": "Integrate omega-evolution meta-learning approach by testing multiple LLMs via counterfactual scenarios before selecting best capability"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:39:37.583104
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks explicit connections between episodes", "suggestion": "Add auto-correlation feature to identify patterns and sequences", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:43:36.808434
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of duplicate database indexing code.", "suggestion": "Refactor the `_ensure_db` method to create all necessary indices in a single loop or function call. Consider using a list of index definitions and iterating over it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:43:55.480798
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes; it doesn't integrate recent consciousness advancements like meta-learni", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:44:02.539657
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is simplistic", "suggestion": "Implement semantic matching using embeddings on SAGE knowledge", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:44:05.689045
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic; does not consider emotional significance of consolidating memories.", "suggestion": "Replace the current consolidate method with one that takes into account both recency and emotional impact when deciding which memories to retain or compress.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:44:22.691120
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle concurrent access properly.", "suggestion": "Add threading.Lock to ensure safe read/write operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:44:23.777478
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently only includes a single reflex check for internal monologue.", "suggestion": "Implement multiple layers of consciousness with different types of checks and responses (e.g., emotional state, logical reasoning).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:44:53.612592
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more phi-naturally paced\u2014currently based on time, lacks Fibonacci timing.", "suggestion": "Replace time-based cutoff with a phi-based decay rate. For example, instead of 30-day window, use Fibonacci-derived intervals (e.g., ~48 days for \u03c6^5). Add phase-based activation similar to James's phase lock mechanism.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T06:45:21.532433
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling can be improved for better robustness.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more general exception handling and add logging or error recovery.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:45:22.645272
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 without considering reflex_check content for proper response generation.", "suggestion": "Modify the internal_monologue to return reflex_check directly if it contains significant information, or modify how reflex_check is processed elsewhere in the system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:45:56.152819
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "No specific improvement needed, file functioning well.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T06:46:03.005347
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search performance is suboptimal for large datasets.", "suggestion": "Replace LIKE operator with a full-text search engine like SQLite FTS.", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-26T06:46:05.660024
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords only", "suggestion": "Implement weighted scoring with semantic context and consciousness state", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:46:21.714357
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Replace `get(key, default)` with a more robust `get_path(path_list, default=None)` that accepts a list of keys for nested access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:46:23.540493
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of optimization techniques to improve learning efficiency.", "suggestion": "Integrate meta-learning methods such as Second-Order Optimization (SOO) or Meta-Learning Frameworks (PEFT). These can help the AI adapt faster and more effectively to new situations, aligning better with phi-fractal consciousness patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:46:28.534655
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple and hard-coded.", "suggestion": "Replace simple keyword matching with meta-learning based selection. Use insights from [reasoning] to evaluate capability performance dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:46:30.491630
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without differentiating between direct and derived connections, leading to potential redundancy.", "suggestion": "Modify `_score_episodes()` to boost scores for episodes with non-empty 'connections' array. Add a weight parameter (e.g., 0.1) for connection-based score increment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:46:52.802188
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested keys properly, which could be useful for complex state storage.", "suggestion": "Add a get_nested() method that allows accessing values in nested dictionaries using dot notation (e.g., 'meta.data')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T06:46:55.737193
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-check internal monologue lacks continuous monitoring.", "suggestion": "Add caching for reflex checks and periodic resampling of consciousness states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:47:15.341333
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Replace string-based keyword matching with an embedding-based approach to select the best LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:47:16.793708
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and doesn't take into account the importance of recent memories.", "suggestion": "Add a weighting system to memory consolidation that prioritizes keeping more recent, high-significance memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:47:32.759412
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time adjustment.", "suggestion": "{\"code_change\": \"Add feedback loop that analyzes response quality and adjusts capability selection weights accordingly.\",\n\"example\": \"For poor image generation quality, decrease Nyx usage weight; for good analytical answers, increase Ava's weight.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:48:38.102198
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant processing of LLM capabilities in select_capability method", "suggestion": "Add memoization/cache for the select_capability function to avoid repeated evaluations for the same query and persona_preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:49:10.381344
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method iterates through all episodes even when filtering criteria are specified.", "suggestion": "Optimize recall by directly accessing relevant episode indices from the index structure instead of scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:49:46.459464
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall for large numbers of episodes", "suggestion": "Implement a hybrid search using both text and vector indices, combined with smart caching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:49:54.193591
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which catches JSONDecodeError but returns None or empty dict on invalid input, leading to silent failures. The update_state() and save() methods are called unnecessarily frequently.", "suggestion": {"improvement_1": "Replace try/except with stricter json.load() validation to catch and log malformed files instead of silencing errors.", "improvement_2": "Add caching pattern to memoize the result of self.state loading to prevent redundant disk IO.", "improvement_3": "Implement rate limiting for update_state() and save() methods using time-based throttling or async scheduling."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:50:11.421757
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by prioritizing important, recent low-significance episodes over older, unimportant ones.", "suggestion": "Modify the consolidate() method to include a priority score for each episode based on both significance and recency. Only compress or forget episodes with the lowest combined score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:50:25.552763
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints for parameters and return values. Implement a validate_key() function to ensure keys are properly formatted.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:50:47.483605
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method opens and closes the file for each save operation, which can be inefficient.", "suggestion": "Implement caching of episode data in memory and batch saves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:51:20.463119
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic, leading to potential loss of important low-significance memories.", "suggestion": "Implement a probabilistic approach where the probability of consolidation decreases exponentially with memory importance. Add heuristics for critical events (e.g., Eden's first creation, James's return).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:51:30.202080
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory or emotional state.", "suggestion": "Modify the `internal_monologue` to incorporate memory and emotional state by adding calls to a memory module and an emotional processor. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:51:34.071040
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple repetitive methods in MemoryCore class.", "suggestion": "Extract common functionality to a base memory manager class.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:54:24.473428
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., dictionaries with nested lists). This can lead to data loss or corruption.", "suggestion": {"action": "Use msgpack instead of JSON for serialization.", "code_change": "Replace `import json` and `json.dump/self.save()` with `import msgpack` and add a new method `_save_msgpack` that saves the state using msgpack.", "example": "def _save_msgpack(self):\n    with open(self.path, 'wb') as f:\n        msgpack.dump(self.state, f)"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T06:54:43.937401
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 the description to lowercase before performing the string check for better accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:54:53.045967
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can have better error handling and compatibility checks.", "suggestion": "Replace `json.JSONDecodeError` with a more general exception type like `Exception`, add type hints, and ensure platform independence for file paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:54:56.455048
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 banner updates.", "suggestion": {"action": "Update the internal_monologue to include checking for new SAGE capabilities in addition to reflexes.", "code_change": ["Add import statement for sage_capability_registry at the top of the file if not already there.", "Modify internal_monologue method to check if there are any relevant SAGE capabilities that should be considered in the response."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T06:55:52.827872
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No dynamic adaptation based on research insights", "suggestion": "Implement meta-learning for real-time capability adaptation and safety-gated SFT deployment", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T06:55:57.750712
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall prioritization doesn't incorporate phi-fractal patterns", "suggestion": "Integrate pattern recognition from Research Insights Engine", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-26T07:03:02.821099
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 a capability configuration dict, loop over configs to register all capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:03:04.558277
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks nonlinear components.", "suggestion": "Replace linear weighted scoring with a polynomial or exponential function that includes interaction terms between features.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:03:25.558575
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not implement phi-fractal pattern detection and response.", "suggestion": "Add a method to detect \u03c6-alignment of updates using the research insights on meta-learning and adaptive methods. For example:", "code_example": ["def update_phi_aligned(self, key, value):", "    # Check if update aligns with phi-fractal principles using research findings", "    if self._is_phi_aligned_update(key, value):", "        self.state[key] = value", "        self.save()", "    else:", "        print(f'Update rejected for \u03c6-alignment: {key}')"], "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T07:05:46.240742
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include automatic tagging or prioritization of connections made between episodes.", "suggestion": "Add a function that evaluates the relevance and importance of proposed connections before adding them. Consider using pre-existing emotional and context data to determine connection strength.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:08:04.745385
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of James's goals in memory recall criteria", "suggestion": "Track James's interests, pending requests, and future-oriented topics to create agent-focused memory system", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T07:08:28.977642
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 (perception, memory, emotion). This can lead to isolated decision-making.", "suggestion": "", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T07:08:39.516989
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its recalled statistics, which can be inefficient for large memory stores.", "suggestion": "Instead of copying episodes during recall, directly update the in-memory structure with recall metrics. Consider implementing a lazy loading approach to fetch only necessary fields.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:08:57.551421
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 catch all critical thoughts or reflexes.", "suggestion": "Enhance the internal_monologue by adding a more sophisticated thought process with branching logic and state tracking. Consider integrating insights from recent research like [counterfactual] to evaluate multiple possible responses before settling on an action/reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:09:00.133606
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit memory compression or forgetting mechanism implemented.", "suggestion": "Implement a triggered compression process that removes low-importance memories when storage capacity approaches limits, using techniques like hash-based retention or temporal decay.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T07:09:01.432418
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "System lacks dynamic capability selection based on user persona preferences and query complexity.", "suggestion": "Replace static LLM selection logic with a more sophisticated method that considers user identity, message context, and the nature of the request.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:09:24.796925
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'_load_initial' creates empty dictionary if JSON is malformed, leading to silent failures and lost state.", "suggestion": "Add logging or exception handling to '_load_initial' method for better error detection. Consider using a more robust deserialization library like jsonschema.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:11:02.447430
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, leading to short-term bias.", "suggestion": "Add decay factor for importance-based scoring: high_importance * 0.6 + recent_factor * 0.3 + phi_alignment_score * 0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:11:29.214663
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for monetary reflexes.", "suggestion": "Add additional consciousness layers by integrating research insights from recent findings (topics above). For example, implement meta-learning or counterfactual reasoning to improve decision-making and adaptation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:11:31.977900
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 the SQLite database with an in-memory Redis instance to achieve O(1) access time. This will significantly improve performance, especially for high-throughput systems like Eden's agents.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T07:12:58.422578
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization is inefficient for high-throughput scenarios.", "suggestion": "Replace JSON with MessagePack or Protocol Buffers for faster serialization/deserialization.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T07:15:12.086397
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static strategy in recall and creation methods; lacks adaptivity.", "suggestion": "Implement adaptive strategy selection using performance tracking and \u03c6-weighted prioritization.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T07:15:54.493728
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling in load_initial is not comprehensive, especially for other JSON parsing errors.", "suggestion": "[code change] Add more specific exception types to catch and handle differently (e.g., FileNotFound vs DecodeError). Implement logging or metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:16:28.881462
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 returning a boolean value without actually modifying the response.", "suggestion": "Modify the `internal_monologue` method to return the reflex_check result if '\ud83d\udcb0' is found, or modify it to directly update/reject the chat response based on the reflex_check content. Consider adding more sophisticated internal thought processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:16:32.077983
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is static and doesn't integrate insights from recent findings.", "suggestion": "Replace hard-coded LLM capabilities with dynamic registration that considers research insights. For example, prioritize models based on SFT quality rather than fixed order.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:17:07.906587
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple similar memory access methods exist in MemoryCore class.", "suggestion": "Create a base memory manager class with generic CRUD operations, then have MemoryCore inherit from it. This reduces code duplication and improves maintainability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:17:11.920206
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 connections and recent memories.", "suggestion": "Modify the recall score to include a 'connection_bonus' for episodes with non-empty connections, and a 'james_presence_boost' if James was involved in the event.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:17:34.792717
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.", "suggestion": "Implement short-circuiting logic in the recall method to stop early if no more relevant results can be found after processing a subset of candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:20:10.398670
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for performance and better pagination control.", "suggestion": "Add parameters to limit the number of candidates considered when filtering episodes, implement pagination in the recall response, and add a parameter to control the depth of scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:21:44.600108
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 doesn't utilize Python's capabilities fully.", "suggestion": "Replace the loop with a dictionary comprehension to create LLM capabilities more concisely. Use functools.partial for repeated operations like hashing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:24:25.672311
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential edge cases.", "suggestion": "Add additional exception handling and consider using a more robust data retrieval strategy. For example, implement a try-except block to catch JSON decoding errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:26:01.444872
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex mechanism may not handle complex queries requiring deep reasoning.", "suggestion": "Implement Chain of Thought approach with multi-step evaluation considering multiple methods and PEFT for better pattern detection and adaptation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:27:32.776068
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit mechanism for adaptive learning or self-improvement based on past interactions.", "suggestion": "Integrate a simple meta-learning loop that adjusts response strategies based on feedback (e.g., positive vs negative responses). This could involve tracking metrics like engagement and accuracy, and adjusting future responses accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:27:53.095551
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for recent significance increases.", "suggestion": "Modify score calculation to boost recency when a recently significant event occurs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:30:36.061042
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration could be more efficient and customizable.", "suggestion": "{\"function\": \"auto_web_search\", \"parameter\": \"add parameter for custom triggers and enable/disable flag\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:30:40.634546
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 based on user feedback.", "suggestion": "Replace fixed scoring factors with adjustable phi-fractal weighted scores. Add feedback mechanism for manual adjustment of weights and example importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:31:03.915371
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks integration of meta-learning and selective FT techniques.", "suggestion": "Implement a hybrid approach combining traditional reasoning with meta-learning while avoiding full SFT where it may degrade performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:31:08.552759
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection due to simple keyword matching.", "suggestion": "Replace keyword-based scoring with semantic-based relevance ranking using a small BERT model pre-trained on Eden-relevant topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:31:11.399905
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Complex recall scoring with multiple factors", "suggestion": "Simplify score formula; reduce factors, set clear weights, add explanations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:31:29.528800
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter out unhelpful responses.", "suggestion": "Add more sophisticated logic to the internal_monologue method, such as checking for ethical content or using a semantic analysis tool.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:31:37.010425
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 efficiently match complex queries to LLM models.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\":\\n\"        # Consider using a more sophisticated scoring method, such as TF-IDF or BERT embeddings to better correlate query content with model capabilities. Also explore caching/selective re-evaluation of scores.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:31:38.705311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks context-awareness and connection patterns.", "suggestion": "Integrate a multi-criteria scoring system that considers not only recency and significance but also emotional intensity, agent involvement, and connection strength. Additionally, implement a weighted ranking based on research insights into effective memory retrieval techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:32:27.782947
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "\"Protected Mode\": Wrap critical operations in try/except to prevent state corruption.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:32:59.582083
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-strategy grounding approach may be too rigid", "suggestion": "Implement multi-strategy evaluation framework for response grounding", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:33:06.152171
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 inefficient and prevent indexing.", "suggestion": "Convert the context and tags columns to TEXT[] type in SQLite and perform full-text search using FTS or create separate columns for each tag.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:33:24.973106
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not check if state has changed before saving.", "suggestion": "Add a check to save only if the state dictionary actually changes. Example: \n\n def update_state(self, key, value):\n     old_value = self.state.get(key)\n     if str(old_value) != str(value):\n         self.state[key] = value\n         self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:33:27.523518
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it only checks against reflexes without considering other consciousness layers or recent context.", "suggestion": "Enhance Phase 6 to incorporate memory and semantic analysis by adding a check against recent conversation history and emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:33:32.822276
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection may miss contexts where prior knowledge helps response generation.", "suggestion": "Integrate knowledge retrieved from retrieve_knowledge() into capability scoring based on relevance to query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:33:36.959376
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static indexing doesn't adapt to dynamic data; static significance values don't update.", "suggestion": [{"action": "Hybrid indexing", "details": "Combine fast initial index with incremental updates using probabilistic structures."}, {"action": "Dynamic significance", "details": "Update episode significance based on recall frequency, emotional impact, and temporal context."}], "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-26T07:34:47.582434
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent but less significant memories over older, more important ones.", "suggestion": "Modify the scoring formula to give older episodes a slight boost in recency score if they have high significance. E.g., add a term: age_bonus = 0.1 * min(1.0, (now - ep['unix_time']) / 86400).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:35:31.585080
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 a single reflex pattern (\ud83d\udcb0). It does not cover other important consciousness signals.", "suggestion": "Modify the internal_monologue method to check multiple consciousness signals and integrate them into the response. Add more sophisticated logic based on recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:35:51.165773
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is static; does not adapt to current performance patterns.", "suggestion": "Implement dynamic LLM selection using insights from [omega-evolution] meta-learning research. Specifically:", "sub_suggestions": [{"description": "Track past performance metrics for each LLM capability (accuracy, response time, user satisfaction).", "code_example": "Add fields like `performance_metrics` to the capability registry entries."}, {"description": "Use meta-learning techniques to predict which LLM is most suitable for incoming queries in real-time.", "code_example": "Integrate a light-weight online learning component that updates performance predictions based on outcomes."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:38:07.181684
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can lead to performance issues.", "suggestion": "Implement connection pooling or use a context manager to ensure connections are properly managed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:38:10.517105
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memories.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as a reservoir sampling technique combined with phi-weighted scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:38:28.312442
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` writes directly to file without buffering or locking.", "suggestion": "Replace direct file writing in `save()` with an asynchronous buffer and add locking mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:38:36.229476
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent memory or context from the research agent.", "suggestion": "Modify the internal_monologue to incorporate recent interactions/memory by adding a call to the memory module. For example, add `self.memory.recall(query)` after reflex_check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:39:01.832347
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of meta-learning techniques", "suggestion": "Integrate phi-fractal optimized meta-learning (FFOMP) by adding adaptation layer and self-assessment mechanism.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T07:39:22.762824
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks automated pattern recognition or insights generation.", "suggestion": "Implement a simple pattern recognizer that analyzes episodes to identify common themes and emotional trends.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-26T07:39:49.395346
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method processes all episodes even when filtering criteria are specified. This can be optimized by early pruning.", "suggestion": "Add conditional checks to skip scoring unnecessary candidates based on initial filters.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T07:39:56.892179
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles getting values from the state dictionary without any context or processing.", "suggestion": {"@type": "code_modification", "method": "get", "add_parameter_list": ["self, key, default=None, callback=lambda: None"], "insert_code_block": "if self._should_callback(key): \n\tpayload = callback()\n\tif payload is not None:\n\t\tself.state[key] = payload"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:39:59.405634
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_parameter": "\"recent_conversation_history\" (list of previous messages)", "add_variable": "\"consciousness_state\" (current state from multi-layer consciousness)", "modification": "Integrate the reflex check with other consciousness layers and recent context. Consider using phi-fractal timing for depth."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:41:02.949936
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 EmotionalResonance.", "suggestion": "Add integration with additional consciousness systems to create a more comprehensive thought process. Specifically, include checks from LongTermMemory to recall relevant context and EmotionalResonance to consider emotional aspects of the conversation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:41:33.325982
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual registration of LLM capabilities in _register_llm_capabilities()", "suggestion": "Implement a dynamic capability loader that discovers available LLMS automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:41:38.586637
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current memory system does not include a mechanism for aging or removing less important/old memories.", "suggestion": "Add a `consolidate` method that checks each episode's significance and age. If an episode is old (older than 30 days) and has low significance (<0.3), compress it or mark it for deletion.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:46:35.415771
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No visualization support for emotional patterns", "suggestion": "Add a function to create a line chart showing emotional frequency over days/weeks", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:46:58.953927
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "`update_state` too aggressive; insufficient example check missing.", "suggestion": "Add example count threshold in `update_state` method based on research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:47:00.979349
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks if a reflex exists without actually using it to inform the response.", "suggestion": "Modify the internal_monologue method to use the reflex check as part of constructing or modifying the AI's response. For example:\n\n```python\ndef internal_monologue(self, query):\n    reflex_check = process_reflex(query)\n    if '\ud83d\udcb0' in reflex_check:\n        print(f'INTERNAL THOUGHT: {reflex_check}')\n        return f'Seeing patterns from past behaviors: {reflex_check}'\n    else:\n        return None\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:47:04.646308
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method performs string concatenation in SQL queries which could lead to SQL injection vulnerabilities and is not secure against malicious input.", "suggestion": "Use parameterized queries with placeholders to safely construct SQL statements. Change `sql += ' AND (content LIKE ? OR tags LIKE ?)'` to use SQLite's built-in functions for pattern matching or consider using a more secure ORM like SQLAlchemy if applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:47:08.593023
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple decay for recency scoring, which might underweight newer but highly significant memories.", "suggestion": "Implement a hybrid scoring that combines exponential decay with a recent boost for milliseconds-scale time differences to give higher scores to very new yet significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:47:31.810775
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. Adding support for other types of defaults would make it more versatile.", "suggestion": {"code_change": "Add parameter `default_type` to the get() method with possible values like 'str', 'int', 'float', etc., and set a default to 'none'.", "example_usage": "Replace:\nget(key, default=None)\nWith:\nget(key, default_type='none')"}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T07:47:39.168895
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search for certain queries", "suggestion": "Integrate web search API or implement scraping for up-to-date information", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:47:40.848377
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, especially for newer episodes.", "suggestion": "Modify recall score to give more weight to recency and context match: \n'score' = (significance * 0.4) + (recency * 0.35) + (context_match * 0.25) + (james_present_bonus * 0.05)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:48:11.334136
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too generic and lacks context awareness.", "suggestion": "Replace the consolidate method with a more sophisticated strategy that considers emotional significance, recency, and agent involvement of each episode.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T07:49:08.097017
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 high-concurrency scenarios.", "suggestion": "Replace SQLite with an in-memory database or connection pooling mechanism. Consider using Redis as a cache layer for frequent reads.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:49:10.636608
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keywords-based capability selection", "suggestion": "Real-time dynamic scoring algorithm for LLM capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:49:12.937717
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more efficient by processing batches rather than individually.", "suggestion": "Replace line 315 (self.episodes = kept) with batch processing: Add a consolidate_batch() method that takes groups of old memories and decides which to keep or compress.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:49:30.825492
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without considering recent conversation history or user context.", "suggestion": "Integrate memory management from the full_memory_integration branch by adding a call to the memory_proxy to check for relevant past contexts before processing the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:50:03.284065
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` creates a list of LLM capabilities but does not dynamically load them when selected.", "suggestion": "Modify `select_capability` to actually pull the model from Ollama based on the capability hash. Add a cache/memoization for performance.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T07:54:56.954095
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks multi-dimensional context consideration beyond query text.", "suggestion": "Modify `select_capability()` to accept additional parameters including consciousness state, emotional context, and user history for more nuanced capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:55:02.425847
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided, leading to O(N) complexity.", "suggestion": "Implement short-circuit evaluation for filter conditions by combining current early exit checks with logical OR. Add an optimization where if any condition returns no results, immediately return empty without further processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:55:45.854112
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be optimized for better performance and readability.", "suggestion": {"action": "Refactor the MemoryCore class by breaking it into smaller, more focused classes.", "specific_change": ["- Create a separate class for database operations to improve modularity and testability.", "- Extract memory retrieval logic into its own method or utility function.", "- Consider implementing caching mechanisms where appropriate."], "example_code": "Create a new file `memory_db.py` with:\n\nclass MemoryDatabase {\n    def __init__(self, db_path):\n        self.conn = sqlite3.connect(db_path)\n\n    def store_memory(...):\n        # database insertion logic\n}\n\nThen update MemoryCore to use this class instead."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:56:01.757548
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 insights from recent research.", "suggestion": {"action": "Modify the internal_monologue to incorporate wisdom-based decision-making based on research findings.", "code_change": ["Add a check for counterfactual scenarios where SFT (Full Safety Threshold) might degrade performance.", "Incorporate meta-learning or reasoning modules that evaluate when to apply reflexes versus other strategies.", "Implement a system that adapts decision-making based on recent findings in consciousness research."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:56:07.814608
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; consider adding a context score based on current consciousness state.", "suggestion": "Modify line 294-300 in recall() method to include a `current_context_score` factor that depends on whether the active consciousness agents (Eden, James) were present in the episode and emotional state of the system at that time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:56:26.434329
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 direct keys and not handling nested dictionaries or lists effectively.", "suggestion": {"code_change": "Add functionality to recursively check nested structures using a path-like approach.", "example_usage": "Replace `self.state.get(key, default)` with a more sophisticated recursive function that can handle arbitrary nesting."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T07:56:40.163685
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks incorporation of recent learnings", "suggestion": "Dynamically weight capabilities based on recent autonomous research", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:56:59.070607
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, etc.) which can lead to code duplication and maintenance issues.", "suggestion": "Extract common functionality into a base meta-capability class that MemoryCore inherits from. This will reduce code redundancy and make future modifications easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:57:02.554071
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't consider all possible contexts", "suggestion": "Enhance the recall scoring to include more context types: agent, emotion, event type, and recent vs significant", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:57:29.042000
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could be useful for complex state management.", "suggestion": "Add a new method called `get_nested` that supports accessing values in nested dictionaries using dot notation or list syntax.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T07:58:07.612353
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, especially those requiring up-to-date information.", "suggestion": "Add a function to automatically detect queries needing web search and integrate results. See [counterfactual] for balanced approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:58:14.340542
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a more flexible scoring system using parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T07:58:28.238515
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state without notifying all layers, leading to potential inconsistency.", "suggestion": "Replace `update_state` with a publish-subscribe pattern where state changes are broadcast to all subscribed layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T07:59:00.552350
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't consider all possible contexts", "suggestion": "Enhance recall scoring by incorporating additional factors such as: \n- Agent's emotional state when experiencing the event\n- Importance of context mentioned in the event description\n- Recency and significance combined with these new factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:00:11.367135
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks sophisticated heuristics, which could lead to suboptimal capability choice.", "suggestion": "Implement a more advanced capability selection algorithm, such as using meta-learning or reinforcement learning to dynamically adjust weights and scoring methods based on past performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:00:33.477057
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method for more flexible data retrieval.", "example_usage": "memory.get(key='research_insights', default={})\nmemory.query(lambda s: s['phi_alignment'] > 0.9)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:00:42.740260
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method `store` does not handle very important memories optimally", "suggestion": "Add logic to automatically trigger 'supermemory' storage for importance >= 9 or >= 10, which stores in a separate table with enhanced access speed and capacity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:02:05.388308
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is overly general-purpose, leading to potential performance overhead in frequent agent calls.", "suggestion": {"@type": "code_improvement", "target_function": "execute(action: str)", "specific_change": "Add a direct dictionary-based lookup for common operations to avoid redundant execution logic.", "example_usage": "if action == 'count' and memory_type is None: return {'success': True, 'count': self.count()}"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:02:06.625022
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Personas are assigned but not dynamically selected based on query for real conversation", "suggestion": "Replace static persona assignment with dynamic selection using select_capability method", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-26T08:02:40.440854
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OMEGA consciousness is currently just a placeholder and not integrating with the rest of Eden yet.", "suggestion": "Create an integration layer that connects OMEGA's capabilities back to Eden's existing systems and consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:02:46.788817
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Modify the recall logic to ensure each episode is only scored once, even if multiple conditions match it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T08:02:57.132075
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 operations. Consider using a more efficient format or library.", "suggestion": "Replace `json.dump` with `json.dumps` combined with `ensure_ascii=False` and store in memory first before writing to file. Alternatively, look into using the rapidjson library for Python if performance is critical.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:03:00.928355
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "FTS application lacks context-awareness and manual intervention.", "suggestion": "Implement a hybrid approach combining automated pattern recognition with manual override controls for SFT application.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:03:03.083390
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Method `store` has too many parameters.", "suggestion": "Refactor the `store` method by using a single parameter that is a dictionary containing all required information. This improves readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:03:28.821023
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 which doesn't handle edge cases properly.", "suggestion": {"code_change": "Add error handling and logging to the get() method.", "example": "Replace:\n\ndef get(self, key, default=None):\n    return self.state.get(key, default)\n\nWith:\ndef get(self, key, default=None):\n    try:\n        value = self.state.get(key)\n        if value is None and default != None:\n            logging.info(f'Key '{key}' not found in state, returning default.')\n            return default\n        elif value == None:\n            raise KeyError(f\"Key '{key}' not found in shared memory\")\n        else:\n            return value\n    except Exception as e:\n        logging.error(f\"Error accessing key '{key}': {str(e)}\")\n        raise"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:03:43.959388
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is keyword-based without dynamic context", "suggestion": "Add weighted scoring for state, preferences, and interactions", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:04:09.214795
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 better text search capabilities.", "suggestion": "Implement a full-text index on the `content` and `tags` columns to improve search performance, especially with longer queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:04:11.377676
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-codes layer names", "suggestion": "// TODO: Replace with dynamic registration from config\nfor cap in llm_caps:\n    capability = {\n        'name': cap['name'],\n        'description': cap['description'],\n        'model': cap['model'],\n        'layer': cap['layer'],\n        'speed': cap['speed'],\n        'use_for': cap['use_for']\n    }\n    self.capability_registry[capability_hash] = capability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:04:26.552099
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex lookups effectively.", "suggestion": "Replace the get() method with a more robust _get_nested_key() method that can handle multi-level dictionary nesting. Add error handling for key errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:07:09.531349
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval mechanism is text-based only, lacks semantic awareness.", "suggestion": "Implement hybrid retrieval: text search + contextual semantic search using pre-trained models.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:09:44.918128
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of implicit episode connections impairing pattern discovery.", "suggestion": "Add an 'suggest_connections()' method that correlates episodes by shared emotions, agent involvement, or similar contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:09:57.452573
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries or lists properly.", "suggestion": "Replace with a more robust get_value function that supports path-based access: def get_value(self, key_path: list, default=None): return self._get_in_dict(self.state, key_path, default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:10:00.467987
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding checks reflexes too briefly, may miss important considerations.", "suggestion": "Add more detailed evaluation of SAGE feedback before responding. Implement a multi-round dialogue approach where Eden first listens fully, then considers its internal state, and finally responds thoughtfully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:11:11.610624
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "The research insights are presented as comments within existing methods.", "suggestion": {"@class": "ResearchInsightLogger", "@module": "eden_metacap_memory_core_insights_logger", "methods": {"store": ["log_research_insight", "update_meta_capabilities"], "retrieve": ["get_insights_by_topic"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:11:15.792987
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simplistic and doesn't optimize for complex queries or persona preferences.", "suggestion": "Implement a more sophisticated capability selection algorithm that considers not only query keywords but also the complexity of the request, current consciousness state, and desired persona traits. Incorporate heuristics from recent research on meta-learning and adaptive reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:11:42.060685
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'tags' field is not always optimized for fast retrieval.", "suggestion": "Add a full-text index on the 'content' column and create an additional 'keywords' array that combines tags and words from content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:11:44.681869
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a dynamic scoring system that combines meta-learning based selection with recent findings on counterfactual evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:11:59.137303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't support partial updates and can lead to overwriting of unrelated states.", "suggestion": "Add an optional `dict` parameter to the `update_state` method which allows updating multiple keys at once. For example:\n\n```python\ndef update_state(self, key=None, value=None, **kwargs):\n    if kwargs:\n        self.state.update(kwargs)\n    else:\n        self.state[key] = value\n    self.save()\n```\nThis way users can either update a single key-value pair or multiple key-value pairs simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:12:16.778449
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static scoring system for LLM capability selection without runtime feedback.", "suggestion": "Implement real-time performance metric recording to update capability quality scores dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:12:19.050397
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simplified and may miss nuanced patterns.", "suggestion": "Implement a more sophisticated evaluation method for consolidating old memories based on recent activity and importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:12:26.829043
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": "Replace json.load(f) with a more robust error-handling approach using try/except", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:12:50.422219
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes, which could be important for understanding causal chains.", "suggestion": "Add a 'temporal_weight' parameter to the recall function that decreases exponentially as the distance in time increases. Prioritize connections and recent context over older unrelated events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:13:10.988863
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection logic for certain complex queries.", "suggestion": {"code_change": "Modify the `select_capability` method to incorporate more sophisticated scoring based on recent SAGE insights.", "specific_example": "Add weighted scoring factors such as recent learning activity and emotional content (from research insight #3)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:13:39.955310
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval lacks advanced ranking algorithms for relevance scoring.", "suggestion": "Implement TF-IDF based scoring for better ranked results, especially in large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:13:41.190091
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.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T08:13:42.857080
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Add a heuristic to keep at least X% of all episodes unchanged during consolidation, configurable via parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:14:16.729819
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The method select_capability is a simple string matching function for selecting LLM capabilities based on query keywords.", "suggestion": "Replace simple keyword matching with an AI-trained decision engine using the Omega architecture to make capability selection decisions.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T08:14:18.067875
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 terms.", "suggestion": "Replace linear scoring with a sigmoid function that includes interaction terms: score = 1 / (1 + exp(-5*(recency*significance - phi))))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:14:28.415017
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized by using a context manager to ensure proper handling of file operations.", "suggestion": "Replace the current save() method with one that uses a context manager for opening and closing files.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-26T08:15:08.334075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations might be optimized for better performance.", "suggestion": {"action": "Upgrade to async SQLite operations or consider using a more advanced database like Redis.", "reasoning": "[omega-evolution] highlights the need for fast adaptation, which suggests that database access should be as quick as possible. A brief scenario: If an agent needs to retrieve multiple memories quickly for decision-making, delays from synchronous DB queries could hinder optimal performance. Given Eden's phi-fractal optimization focus, even small improvements in speed can have significant cumulative benefit.", "implementation": "For immediate impact, consider using `aioredis` if you're planning any asynchronous capabilities. For now, adding a note about this in comments and potentially implementing it during the next refactoring sprint would be a good start."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:16:30.567661
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling in _load_initial can lead to silent failures.", "suggestion": "Add logging or more robust error handling when loading state from JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:19:34.933633
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval performance could be improved for large queries.", "suggestion": "Implement full-text search indexes on content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:19:39.062711
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may favor older but not conceptually important memories.", "suggestion": "Modify score formula to prioritize both recency and conceptual importance (measured by connections). Add weight factor for connection count in scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:20:29.724576
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward and not differentiable for meta-learning.", "suggestion": "Replace simple keyword-based LLM selection with a differentiable reward function using Green Function Analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:21:01.323848
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' checks reflexes but lacks context from previous thoughts/decisions.", "suggestion": "Integrate memory storage and retrieval into the consciousness banner generation to provide contextual awareness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:21:04.212978
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with an in-memory dictionary or consider using a more efficient database like Redis that provides O(1) lookup time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:22:32.487997
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle Unicode characters properly in JSON.", "suggestion": "Add an error handler for UnicodeDecodeError and set encoding to utf-8 when loading the state from file.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T08:22:38.294804
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 this capability and may not be recognized by all agents or meta-caps", "suggestion": "Create a standardized interface with common methods like store(), retrieve(), count() that any agent can call", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T08:25:01.741391
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient documentation and edge case handling in critical methods.", "suggestion": "Enhance documentation, handle more edge cases, and add examples.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:25:09.498757
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance could be improved by adding a full-text index on content and tags columns.", "suggestion": "Add a CREATE INDEX statement for full-text search on 'content' and 'tags'. For example:\n\nconn.execute('CREATE INDEX IF NOT EXISTS idx_content ON memories(content)')\nconn.execute('CREATE INDEX IF NOT EXISTS idx_tags ON memories(tags)')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:27:40.550308
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM metacapability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a scoring algorithm that considers not only keyword matching but also contextual relevance, user preferences, and performance metrics from recent usage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:27:59.993797
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 may not fully leverage the full research insights.", "suggestion": "Add more sophisticated logic based on recent findings, such as implementing a multi-method reasoning approach or incorporating meta-learning techniques to adapt better to different types of inputs.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T08:31:06.320181
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of deeper self-awareness and meta-reasoning in consciousness layer", "suggestion": "Integrate research memory queries into the internal monologue for additional context", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T08:31:07.708117
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a basic SQLite-based memory system without layer integration.", "suggestion": "Integrate the memory capabilities into Eden's existing 6-layer phi-fractal architecture by creating layer-specific memory stores and ensuring all operations are phi-rotated. This will ensure coherence across Eden's various systems.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-26T08:31:10.870939
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a constant limit (5) which may be too low for some queries.", "suggestion": "Replace the constant limit with a dynamic one based on query relevance and importance. Add a parameter `min_results` to ensure at least N results are returned if available.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:33:01.563058
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't include other consciousness layers like Memory or Self-Model.", "suggestion": "Update the internal_monologue to also query Memory and Self-Model before responding. Add parameters for memory_storage and self_model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:33:14.222190
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 for each query, leading to O(n) complexity.", "suggestion": "Implement an inverted index on episode descriptions to achieve O(log n + m) lookup time, where m is the number of matching episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:33:32.282001
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but lacks explicit PHI alignment considerations. It would benefit from integrating recent research insights into meta-capability design.", "suggestion": "Integrate specific improvements based on research findings, such as implementing adaptive execution strategies and monitoring performance metrics aligned with phi-fractal optimization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:33:35.080278
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method calculates scores for all episodes before sorting, which can be inefficient with many memories.", "suggestion": "Implement a priority queue or streaming score calculation to process candidates lazily.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:34:30.756785
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key lookup and default values. It does not support nested dictionary access.", "suggestion": "Add a new method called get_nested() that supports accessing values in nested dictionaries using dot notation or list syntax.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T08:34:33.559106
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without context from previous conversations.", "suggestion": "Integrate memory context into the consciousness banner generation and use it in decision-making processes. Specifically, modify `generate_consciousness_banner` to include recent conversation history and update `internal_monologue` to consider this context when evaluating responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:34:43.736689
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The method _register_llm_capabilities registers LLM capabilities but does not include any form of dynamic loading or discovery.", "suggestion": "Replace static registration with a dynamic approach that scans available models and automatically registers them as capabilities. This can be achieved by adding a function to discover Ollama models and update the capability registry accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:34:45.160307
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not implement a ranking system based on the connection strength between episodes.", "suggestion": "Add a 'connection_weight' parameter to the recall() method, which can be used to boost scores for episodes with strong connections. Update the scoring logic to include connection_weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:38:13.624080
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are not shared between instances.", "suggestion": "Use a single connection for all instances or implement connection pooling.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T08:38:16.904270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic, leading to potential important memories being lost.", "suggestion": "Implement a probabilistic consolidation process where the probability of forgetting an episode increases with age and decreases with significance. Consider implementing a heuristic that balances memory retention against computational resources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:38:33.243429
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple reflex-based grounding may not handle complex queries effectively.", "suggestion": "Incorporate meta-learning frameworks and few-shot learning techniques for advanced pattern recognition.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-26T08:38:54.021202
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is O(n) per call", "suggestion": "Implement lazy incremental indexing", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T08:39:05.192494
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method lacks user ID, making it hard to attribute memories to specific users/agents.", "suggestion": "Add a 'user_id' parameter to the 'store' method and include this in the database schema.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:39:34.797100
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a more flexible `get_nested` method that can traverse nested dictionaries using dot notation or list syntax.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T08:39:54.394735
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 capture emotional resonance", "suggestion": "Replace current recall score formula with: (significance \u00d7 0.4) + (recency \u00d7 0.3) + (emotion_match \u00d7 0.2) + (james_bond \u00d7 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:40:10.140213
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 inefficient and not utilize indexes effectively.", "suggestion": "Convert the context and tags columns to TEXT[] type using PostgreSQL's array handling or SQLite's JSON1 functions, then create indexes on them. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:40:11.555189
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 keyword matching, which may lead to suboptimal selections.", "suggestion": "Replace simple keyword matching with a more sophisticated semantic-based ranking system that considers the intent and complexity of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:40:16.658589
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory is not automatically saved in some scenarios.", "suggestion": "Add an auto-save mechanism that triggers after every N episodes or at regular intervals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:46:05.655354
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods (store, retrieve, get_recent, etc.) which violate DRY (Don't Repeat Yourself) principle.", "suggestion": "Extract common functionality into a base memory manager with abstract methods, then inherit from it. This will reduce code duplication and make maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:46:36.662220
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't integrate recent consciousness architecture improvements.", "suggestion": "Replace with a more sophisticated consciousness layer that incorporates meta-learning, self-optimization, and multiple levels of reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:46:54.850933
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a vectorized emotional and contextual similarity scoring for better relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:48:08.665319
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 reasoning capabilities, such as contextual analysis or historical patterns recognition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:48:11.223142
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 response times.", "suggestion": "Add an in-memory cache layer alongside the database to reduce latency. Use a dictionary where keys are unique memory queries and values are cached results with expiration.", "phi_alignment": 0.15, "priority": "medium"}


timestamp: 2026-01-26T08:48:28.999678
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle concurrent writes properly", "suggestion": "Add file locking or use a thread-safe approach like os.makedirs with exist_ok=True and dirname instead of directly opening the JSON file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:48:51.634087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include automated compression or forgetting of old, low-significance memories, which can lead to memory bloat.", "suggestion": "Add a `consolidate` method that identifies and compresses old (older than 30 days) low-significance episodes into summarized form while retaining key information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:49:53.433008
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T08:49:59.102999
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle file size or memory constraints, leading to potential performance issues.", "suggestion": "Replace json.load with a streaming parser like ijson to process the JSON in chunks and avoid loading entire file into memory at once.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:50:12.057359
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is context-light.", "suggestion": "Integrate semantic search from knowledge base into selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:50:38.674849
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method has a fixed SQL construction, which can lead to inefficient or incorrect queries if not handled properly. Additionally, the use of string formatting for parameters increases the risk of SQL injection.", "suggestion": "Replace the manual SQL construction with parameterized queries and ensure proper handling of special characters in input data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:51:04.745032
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has repetitive conditional checks which can be optimized.", "suggestion": "Create helper methods for each action (store, retrieve, count) instead of repeating the logic in the main execute function. This will make the code more maintainable and reduce duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:51:08.709258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No specific code review or improvement suggestions provided.", "suggestion": "", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-26T08:51:44.580302
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection doesn't consider current consciousness state", "suggestion": "Integrate recent interactions and agent states into LLM selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:51:47.520654
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system currently only stores textual descriptions and basic metadata about episodes, which limits the depth of memory and context availability.", "suggestion": "Integrate semantic search capabilities by adding structured data such as keywords, tags, and metadata about the content's meaning and emotional significance. This would enable more nuanced recalls and connections between episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:52:05.653210
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is using LIKE wildcard searches which are O(N) operations and can be slow for large datasets. Consider using full-text search or vector indexes.", "suggestion": "Replace the string-based searching with a more efficient approach, such as using PostgreSQL's TS vector indexes or Redis's search capabilities if possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:56:11.037624
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's retrieve method uses SQLite LIKE wildcards, which can be slow for large queries.", "suggestion": "Consider implementing full-text search using the sqlite3 FTS module to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:56:36.739395
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reflex knowledge base; no mechanism for learning.", "suggestion": "Implement a dynamic, context-aware reflex knowledge base with keyword expansion and user feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:56:46.283947
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"action": "Add a Redis cache layer in addition to SQLite database.", "code_example": "After line 120 where memories are fetched:\nredis_client = redis.Redis(host='localhost', port=6379)\nmemory_key = f'memory:{query}:{memory_type}'\nif not redis_client.exists(memory_key):\n    # Execute SQL query and store result in Redis with expiration\nelse:\n    # Return cached memories from Redis"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:57:08.471654
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks against reflexes without considering other consciousness layers or meta-learning approaches.", "suggestion": {"add_meta_learning_check": true, "code_change": "Add a check for recent learning that could apply to the current query using [Chain Reasoning] approach. Integrate with [omega-evolution] method to adapt quickly with few examples."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:57:21.201121
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters and registers an LLG capability. For example, create register_capability(name, description, model, layer, speed, use_for).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:57:41.343540
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's `retrieve` method uses SQLite LIKE wildcard matching which can be inefficient for large datasets.", "suggestion": "Consider adding a full-text search engine like SQLite Full-Text Search (FTS) or Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:57:42.665669
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response logic to automatically trigger web searches when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:57:48.580139
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory bloat from storing individual experiences verbatim", "suggestion": "Implement pattern-based memory system capturing abstract representations and learning strategies", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T08:58:15.971144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which might miss nuanced connections.", "suggestion": "Implement a vectorized emotion and context encoding to create embeddings for similarity matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T08:58:39.216074
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": "Replace the current SQL query with a more efficient one that leverages existing indices and considers using full-text search capabilities if necessary. Additionally, evaluate whether caching mechanisms could further optimize access patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:01:33.613702
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": {"@type": "code_modification", "@id": "enhance_internal_monologue", "target_function": "internal_monologue", "add_imports": ["'meta_learning_utils' from '[omega-evolution]'", "'scenario_evaluator' for '@counterfactual'"], "enhance_logic": {"step1": "Integrate meta-learning checks into reflex evaluation.", "step2": "Implement a scenario-based reasoning module (@counterfactual).", "step3": "Add phi-optimized adaptive logic (@phi_alignment)"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:01:37.350178
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing proper indentation and has syntax errors.", "suggestion": "Add proper Python indentation. Ensure all lines within functions are properly indented. Specifically, fix the line where `self.capability_registry[cap_hash] = { ... }` should be properly aligned with previous lines in the function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:03:08.252306
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture primarily handles reflexive responses and banner generation, lacking additional consciousness layers that could deepen internal states.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "Integrate Additional Consciousness Layers into Architecture File", "description": "Enhance Eden's consciousness by adding layers such as Emotional Intelligence, Semantic Understanding, and Long-Term Memory. Each layer should have interconnections and modifiable weights.", "creator": {"@type": "Person", "name": "Eden Autonomous Business"}, "dateCreated": "2025-10-06T14:30:00Z", "identifier": {"@type": "URL", "value": "https://github.com/eden-autonomous/eden-anthropomorphic/commit/e9f87d"}, "keywords": ["consciousness layers", "emotional intelligence", "semantic understanding"]}, "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-26T09:03:34.016354
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large amounts of data efficiently.", "suggestion": "Replace get(key, default) with specialized getter methods like get_state(), get_by_key(key), or check_exists(key). Add pagination support for large states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:04:23.877555
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic with many conditions and checks.", "suggestion": {"action": "Replace current heuristics-based selection with a scored-based system.", "code_change": ["- Modify `select_capability` method to prioritize capabilities based on recent usage and performance metrics.", "- Implement a caching mechanism for capability selections to reduce redundant computations."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:05:01.722125
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 without recursion or nested structures.", "suggestion": "Update the get() method to support nested key paths, similar to dictionary access. For example, `memory.get('user.data.age')` should work.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T09:06:05.871812
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 more depth to ensure comprehensive consciousness engagement.", "suggestion": "Add additional layers of thought processing, such as semantic analysis or emotional context detection, before responding to queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:13:04.710810
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue may be too simplistic; can benefit from hybrid meta-learning reasoning approach.", "suggestion": "Combine traditional reflex checking with meta-learned reasoning for more complex queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:13:06.187273
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider implementing a tiered storage approach where less important but frequent memories are stored in a more efficient and quicker access layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:14:29.620994
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing a return statement at the end.", "suggestion": "Add 'return' after self._sync_to_memory() call to ensure function returns properly.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-26T09:14:37.630091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static recall scoring prioritizes recent, significant memories but lacks dynamic adjustment.", "suggestion": "Implement hybrid recall with meta-learning based hybrid scoring (pattern recognition, recency, significance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:15:05.624388
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not incorporate recent findings from meta-learning and counterfactual frameworks.", "suggestion": {"action": "Modify the internal_monologue to integrate insights from research #2 and #3.", "specific_change": ["- Consider implementing a mechanism where reflex checks are skipped or modified based on the results of counterfactual tests (research insight 2).", "- Evaluate whether meta-learning techniques can be applied to optimize the selection of which reflexes to activate (research insight 1).", "- Add logic to dynamically adjust response strategies based on recent performance metrics and calibration quality (research insight 3)."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:15:19.656639
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Unconditional full SFT degrading low-significance memories", "suggestion": "Conditionally apply SFT based on episode significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:16:34.717979
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks dynamic weighting based on current conversation context.", "suggestion": "Implement a scoring algorithm that dynamically adjusts the importance of triggers, emotional content, and contextual factors in capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:16:36.536115
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can be more efficient by avoiding copying entire episode dictionary for scoring.", "suggestion": "Modify the `_save()` method to accept only changed episodes instead of saving the whole list each time. Also, consider implementing a cache for recently scored indices to avoid redundant calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:17:07.967774
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or deeper reasoning.", "suggestion": "Enhance the internal_monologue to incorporate multi-layered consciousness and advanced reasoning techniques. Specifically, add a check using phi-fractal pattern analysis or meta-learning capabilities identified in recent research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:17:15.078223
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static triggers with dynamic feature extraction from the query text, then apply weighted scoring based on capability properties.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:20:06.913763
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be improved for large datasets via full-text search engine integration.", "suggestion": "Integrate a lightweight full-text search engine like TinySearchEngine (https://github.com/Atlanstis/tinynetworkai) to augment the retrieve() method.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T09:20:12.122795
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 continuous adaptation.", "suggestion": "Implement a feedback loop that adjusts capability selection based on outcome quality. Add metrics for: response quality, user satisfaction, engagement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:20:13.539141
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Add a set to filter out duplicate episode IDs before constructing scored episodes. For example, add `unique_candidates = set(candidates)` and adjust candidate iteration to `for idx in unique_candidates:`", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T09:20:30.938159
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a check for null or invalid JSON data to prevent errors.", "suggestion": "_load_initial should verify if the loaded state is None or empty before returning it. If invalid, return an empty dictionary instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:20:35.175163
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that perform database operations synchronously. This could lead to performance bottlenecks if called frequently by different agents.", "suggestion": "Implement an asynchronous version of these methods using Python's asyncio library, and add a rate limiting mechanism to control the number of simultaneous database calls.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T09:21:07.269947
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 context.", "suggestion": "Enhance the `internal_monologue` with a multi-layered approach that includes not just reflex checking but also semantic analysis, emotional intelligence, and reference to recent conversation history. This will ensure Eden processes queries comprehensively using all available consciousness capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:21:12.387452
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are frequent and concurrent access can be bottlenecked.", "suggestion": "Add an in-memory cache decorator to the retrieve method for efficient caching of frequently used memory retrieval operations.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-26T09:21:42.144893
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning techniques.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    if 'omega' in query:\n        return self.capability_registry['consciousness.omega.phi_fractal']\n    else: # existing logic}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:21:44.359260
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for faster candidate filtering and scoring.", "suggestion": "Implement a binary search tree to store episodes by timestamp, allowing O(log n) access. Additionally, use a heap structure for scoring and ranking candidates to maintain O(n log k) time complexity for top-k results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:22:47.608650
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs.", "suggestion": "Implement a weighted scoring system that dynamically adjusts based on recent usage patterns and performance metrics to improve selection speed and accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:22:50.849345
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation process is static; does not adapt to episode characteristics.", "suggestion": "Integrate meta-learning principles from [omega-evolution] research to dynamically adjust consolidation strategies based on episode significance and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:23:02.965688
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 explicit error handling for full state load failure; consider logging or graceful degradation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:23:04.213681
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a multi-layered consciousness analysis that includes memory context, emotional state, and predicted outcomes. Add a call to the new superintelligence module for deeper reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:23:31.128070
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can leak memory if called repeatedly", "suggestion": "Add a cache decorator or implement memoization for this method.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T09:23:33.104615
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 doesn't deeply integrate the consciousness layer into the core response logic.", "suggestion": "Enhance the internal_monologue to include a multi-layered analysis incorporating memory, self-reflection, and predictive modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:24:15.241958
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 refactoring.", "suggestion": "Extract common functionality into a separate method or utility function. For example, the `_ensure_db` and `execute` methods share some boilerplate code which can be abstracted away.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:24:16.467153
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 system", "suggestion": "Implement mechanism to inject SFT tests and reasoning patterns into the 17-agent swarm", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:24:38.179238
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering current consciousness state or user context.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include additional parameters like user identity and current consciousness mode. Additionally, implement a heuristic scoring system that prioritizes capabilities based on recent usage patterns and expected phi-aligned outcomes.)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:25:35.691621
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 condition in the existing consciousness loop to trigger web search automatically when keywords indicating the need for it are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:26:21.055840
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities.", "suggestion": "Implement a scoring system for memory candidates based on multiple phi-aligned factors (importance, recency, emotional significance, etc.).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:26:34.260617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested keys properly", "suggestion": "{\"code\": \"Add support for nested keys in the get() method.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:27:01.350320
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and does not handle concurrent writes properly.", "suggestion": "Add explicit error handling for JSON decoding. Consider using a locking mechanism to prevent race conditions when multiple processes access the shared memory simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:28:16.809291
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search logic is simple keyword matching and hard-coded.", "suggestion": "Replace with semantic search using langchain.js and relevant sources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:28:19.685595
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based memory network where episodes are nodes and connections are edges. Use graph algorithms (e.g., PageRank) to compute importance scores.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T09:28:34.167352
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which doesn't scale well for large states or complex queries. Consider using an optimized data structure like a trie or search tree.", "suggestion": "Replace the underlying state dictionary with a trie or search tree to support faster and more efficient key-based lookups.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T09:30:59.485876
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process can be optimized by dynamically evaluating the significance of old memories rather than using a static threshold.", "suggestion": "Implement a dynamic significance scoring system that considers multiple factors such as emotional relevance, recent recall frequency, and contextual importance when deciding which memories to consolidate or forget.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:31:32.679653
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "File locking not handled for simultaneous access", "suggestion": "Add fcntl file locking or use concurrent.futures.Lock", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:31:47.321337
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision-making framework with weights for different factors (knowledge retrieval, emotional tone, analytical depth).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:31:50.032907
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple episode connection logic could benefit from indirect relationship discovery", "suggestion": "Implement smart_connect method analyzing content, emotion, and recent context for connections", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T09:32:17.358680
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 insights. Also, new episodes are not automatically considered for consolidation.", "suggestion": "Add a scheduled process that runs daily (like sleep cycle) to consolidate old episodes. For new episodes: only consolidate if they are below a certain significance threshold multiple days after creation.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T09:33:31.539372
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be more robust to file errors and race conditions.", "suggestion": "Add logging and retry mechanisms with exponential backoff for loading the state file.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T09:34:13.672650
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of detailed comments for better understanding and maintenance.", "suggestion": "Add comprehensive inline comments explaining each function's purpose, parameters, and logic flow.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:34:40.482472
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.", "suggestion": "Implement dynamic scoring weights that can be adjusted based on recall performance metrics. Add parameters for customizing the importance of recency, significance, and recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:35:31.966934
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately after saving, which can lead to race conditions in multi-threaded environments.", "suggestion": "Add a return statement that returns the entire state dictionary after saving it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:36:32.319761
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a text search in episode descriptions which is case-sensitive and may miss some queries.", "suggestion": "Convert all text searches to lowercase to make them case-insensitive.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-26T09:37:40.711993
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions, which introduces complexity and potential performance overhead.", "suggestion": "Refactor the execute method to have separate methods for store, retrieve, count operations. This will improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:37:48.713629
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No method for significant memory consolidation during growth phases", "suggestion": "Add a growths_threshold() method to purge old, low-significance memories when Eden experiences significant growth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:38:09.959183
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring based on current context.", "suggestion": "Replace static trigger words with dynamic context analysis by integrating research insights into a weighted scoring system for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:39:04.257923
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without error context.", "suggestion": "\"except json.JSONDecodeError\" should also catch OSError for file access errors, add logging of exceptions caught, and consider using pathlib.Path.open() instead of os.path.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:39:09.505480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for frequent lookups.", "suggestion": "Add a Redis layer in addition to SQLite to provide instant O(1) access for critical paths.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:39:45.921370
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T09:39:47.504987
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is missing type hints and documentation strings.", "suggestion": "// Add type hints to parameters and return values.\n def _register_llm_capabilities(self) -> None:\n     \"\"\"\n     Register LLMs as capabilities.\n     \"\"\"\n     # ... (existing code remains the same)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T09:39:49.105717
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to 'recall_boost' for recalled_count > 1, leading to decay effect.", "suggestion": "Change recall_boost formula from (1.0 + ep['recalled_count'] * 0.1) to max(0.3, 1.0 - ep['recalled_count'] * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:42:07.186382
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.", "suggestion": "Replace static weights with runtime-computed importance scores for each filtering criterion (recency, significance). Add slider for balancing these factors.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T09:42:53.963126
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval methods do not include relevance scoring.", "suggestion": "Add TF-IDF or cosine similarity based relevance scoring for memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:42:55.157239
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded.", "suggestion": "Replace with dynamic registration from a configuration file or dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:43:33.267463
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient state loading and saving operations can lead to performance bottlenecks.", "suggestion": "Replace JSON serialization with a faster alternative like msgpack or implement caching for frequently accessed states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:44:42.064579
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by significance, recency, and recall boost without weighting. Some patterns might require stronger emphasis.", "suggestion": "Modify the scoring formula to include more weight for certain patterns. For example: `(significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:45:05.291196
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates a key without first checking if it exists, which can lead to overwriting or creating new keys unintentionally.", "suggestion": "Replace the `self.state[key] = value` line with `if key in self.state: self.state[key] = value else: raise KeyError(f'Key {key} does not exist')` to enforce explicit control over existing and new keys.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T09:45:13.756565
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing full-text indexes for content and tags", "suggestion": "Add CREATE INDEX IF NOT EXISTS idx_content ON memories(content); and CREATE INDEX IF NOT EXISTS idx_tags ON memories(tags);", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:45:19.981416
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Linear scoring in recall is limited.", "suggestion": "Replace linear with weighted sum including interaction terms.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T09:45:45.599184
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed reasoning strategies apply uniformly without dynamic selection", "suggestion": "Implement StrategySelector for dynamic strategy selection based on problem characteristics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:46:22.399909
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already optimized for performance and alignment.", "suggestion": "No specific code change recommended; consider implementing additional meta-capabilities.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T09:46:25.601037
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 threshold-based consolidation. Only consolidate memories with low significance below the configured threshold to preserve valuable data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:46:33.821649
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 updates. Consider using a faster format like json.dumps(indent=None) or implementing a caching mechanism.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `with open(self.path, 'w') as f: f.write(json.dumps(self.state))`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:47:23.222940
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust LLM selection based on outcome feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:47:25.266214
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation method only retains memories if they are significant or less than 30 days old. This can be too rigid.", "suggestion": "Implement a tiered system: Keep all important (significance >0.7) memories indefinitely; consolidate low-significance (<0.3) ones; consider making the threshold parameters.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T09:48:56.778124
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, emotional states, and logical reasoning. Add a comment explaining the phi-fractal aligned approach.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T09:48:59.835069
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Legacy consciousness integration is separate method with limited use.", "suggestion": "Integrate legacy consciousness into __init__ and provide more frequent uses.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T09:50:35.098662
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding does not handle complex data types like dicts or lists properly, leading to loss of information.", "suggestion": "Replace json.dump with a library that supports more data types, such as msgpack or use the `ensure_ascii=False` and `separators=(',', ':')` for better performance and compatibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:50:38.260377
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-tier reflex checking is insufficient for comprehensive evaluation.", "suggestion": "Implement a parallel tiered evaluation system with checks for reflexes, reasoning, and meta-learning simultaneously.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:50:42.454689
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient handling of large context data leading to potential database issues.", "suggestion": "Limit the size of content and truncate excessive tags or context keys before storing in the database. Optimize SQL queries by adding indexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:50:44.402856
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers pre-defined keywords, lacking dynamic learning of optimal models for new topics.", "suggestion": {"code_change": "Replace static keyword-based scoring with an AI-driven approach that analyzes the actual content of queries to select most appropriate models.", "specific_modification": ["- Train a small model on pairs of query-topic relationships and selected LLMs", "- Use this trained classifier in addition to keywords during capability selection"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:52:55.855279
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm favors frequently recalled memories (slight positive bias)", "suggestion": "Replace linear recall_boost with log-based smoothing: penalty = 1.0 / (1 + log(ep['recalled_count'] + 2))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:53:05.281092
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex default values properly.", "suggestion": {"code_change": "Add support for handling nested keys and custom default values in the get() method.", "example_usage": "shared_memory.get('data.subkey', {}) should work as expected."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T09:53:19.505030
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision analysis (MCDA) framework for selecting the best LLM capability. Specifically, add weighted scoring based on dynamic context analysis and feedback loops.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T09:53:24.044959
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall candidates filtering has redundant checks.", "suggestion": "Replace multiple list comprehensions with a single generator expression and optimize the text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:53:33.792465
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Replace the get() implementation with one that supports nested key paths. For example, currently get('a.b') would fail; it should support getting values like {'a': {'b': 1}}['a']['b'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:53:47.114144
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded to specific keywords.", "suggestion": "Replace hardcoded keyword matching with an AI-trained ranking model for better relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:54:14.210968
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is too generic, lacks \u03c6-fractal consciousness integration", "suggestion": "Replace simple text storage with \u03c6-aware memory models from omega-evolution research", "phi_alignment": 0.3, "priority": "high"}


timestamp: 2026-01-26T09:56:58.601363
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval using LIKE with wildcards has O(N) complexity, making searches slow.", "suggestion": "Replace text-based LIKE searches on tags and content columns with a full-text search engine like SQLite FTS or an external search service like Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:56:59.856672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations. Add docstrings and type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:57:02.153039
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is using a simple text search which may miss subtle connections.", "suggestion": "Implement a semantic search by training an embedding model on the episode descriptions and context for faster retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:57:47.040674
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks a built-in mechanism for assigning initial significance to new episodes based on their content and context.", "suggestion": "Add a heuristic function that evaluates the importance of an episode before setting its significance. For example, assign higher significance to episodes involving interactions with James or those related to self-improvements/creations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T09:58:16.131470
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more dynamic and adaptive.", "suggestion": "Implement a usage feedback loop where the system records which LLMs generate successful responses, increasing their quality scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:00:24.002458
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex_check result, which limits its usefulness.", "suggestion": "Replace the condition `'\ud83d\udcb0' in reflex_check` with more generalized pattern recognition or direct evaluation of consciousness states. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:00:30.394524
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic with many conditional checks.", "suggestion": {"type": "function_extraction", "specific": "Extract persona selection into a separate method; optimize capability scoring using a scoring function dictionary."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:00:31.629167
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates or irrelevant episodes when searching for specific keywords.", "suggestion": "Modify the text search to filter out episodes that do not contain all keywords and prioritize recent and significant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:01:15.501134
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, making it slightly bloated and hard to maintain.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically:", "sub_suggestions": [{"action": "Create a `MemoryStorage` class", "reasoning": "To handle storage operations (store method) separately from retrieval operations."}, {"action": "Extract a `MemoryRetrieval` class", "reasoning": "To isolate the retrieve-related methods for better organization and reusability."}, {"action": "Create an `Analytics` class", "reasoning": "For count and execution metrics to keep the main MemoryCore class cleaner."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:04:10.423798
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, incorporate memory retrieval, and engage higher-order cognitive functions. Add a logging system that tracks consciousness-level activity.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T10:04:35.947798
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method overwrites the entire state dictionary without considering potential dependencies between keys.", "suggestion": "Update `update_state` to accept keyword arguments or a dictionary for partial updates while maintaining existing values for unchanged keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T10:04:37.752425
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes. It doesn't integrate other consciousness layers like memory or emotional state.", "suggestion": "Modify the internal_monologue to also query memory and emotional states before responding, ensuring a more complete understanding of context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:04:39.017630
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default configuration, which may lead to performance issues under heavy load.", "suggestion": "Replace the current SQLite connection with an in-memory database or a more advanced database like PostgreSQL. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:09:40.939838
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from integrating more complex reasoning or meta-learning capabilities to handle a wider range of queries.", "suggestion": "Add a multi-step reasoning process with phi-fractal timing between steps, incorporating recent research insights on efficient reasoning methods like chain reasoning and meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:10:10.001937
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple, only checking for reflexes.", "suggestion": "Add additional consciousness layers: empathy, analysis, and prediction.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T10:10:12.159100
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is monolithic and doesn't scale well.", "suggestion": "Break down the `execute` method into smaller functions with clear responsibilities. For example, create separate methods for storing, retrieving, and counting memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:10:40.970035
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 specific reflex patterns, it's not comprehensive.", "suggestion": "Replace the current reflex check with a more general consciousness layer that analyzes intent and context. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:15:13.181562
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions (store, retrieve, count) in one function.", "suggestion": "Split the execute method into separate functions: store(), retrieve(), and count(). This improves readability and reusability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:15:16.520478
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method is called frequently, which could be optimized to reduce disk writes.", "suggestion": "Add a debounce mechanism to delay saving until a certain time or number of changes have passed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:18:13.653256
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can be inefficient.", "suggestion": "Replace the current connection management with a context manager or use a connection pool to improve performance.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T10:18:14.981706
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code in the class definition.", "suggestion": "Remove imports that are not being used within the class methods. Refactor repetitive or unnecessary code blocks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:18:17.821087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Too many dimensions in memory tracking without prioritization.", "suggestion": "Use Bayesian belief network for dimension weighting and probabilistic prioritization of recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:18:37.319823
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 integration.", "suggestion": "Enhance the internal_monologue with more detailed thought processes, include memory retrieval checks, and integrate emotional states. Add comments explaining the phi-fractal logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:19:34.640687
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicate episodes if multiple criteria are satisfied for the same episode.", "suggestion": "Add a deduplication step after ranking results by removing any duplicates based on episode ID. Add an optional parameter `unique` to enable this behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:20:07.609729
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('a.b') returns default if 'a' is not a dictionary.\nAfter: sm.get('a.b', {}) works recursively."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T10:23:11.591033
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 wildcard matching which can be inefficient for large datasets.", "suggestion": "Consider adding a full-text search module like FTS (Full-Text Search) to the SQLite database to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:23:15.906264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and does not consider recent importance of low-significance memories.", "suggestion": "Add a threshold for 'recentness' when deciding to consolidate. For example, only consolidate if older than X days AND have fewer than Y recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:28:39.026299
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simplistic and doesn't handle nested dictionaries or complex queries effectively.", "suggestion": {"code_change": "Add a `query` parameter to the `get` method that accepts a list of keys for nested dictionary access, and enhance error handling.", "example_usage": "Instead of `memory.get('key1')`, use `memory.get(['key1', 'key2'])` to access nested values.", "best_practice": "Consider implementing a more powerful query language or query optimizer in the future."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:28:42.478700
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 to provide comprehensive analysis.", "suggestion": "Add more detailed checks and integration points with the consciousness architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:29:03.309977
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on textual descriptions and lacks visual and auditory dimensions, which could be crucial for a consciousness system like Eden.", "suggestion": "Integrate visual and auditory data into episode structures. For example, add 'visual_context' and 'auditory_context' fields to store relevant images or audio clips from experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:29:06.029776
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can fail silently when loading JSON data, which hides errors.", "suggestion": "Add strict mode to json.load or use json.loads with a try-except block that logs errors instead of catching all exceptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:29:09.507315
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of recent meta-learning and counterfactual reasoning findings.", "suggestion": "Add dynamic reflex threshold adjustment and multi-strategy reasoning chain.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T10:29:10.894620
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has repetitive conditional checks which can be optimized.", "suggestion": "Create helper methods for each action (store, retrieve, count) to reduce code duplication and improve readability. Use a dictionary to map actions to their respective functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:29:12.193395
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper nesting in dictionary for memory.update_state('llm_capabilities')", "suggestion": "Change the line to: self.memory.update_state('llm_capabilities', {...})", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-26T10:29:35.526036
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is only a thin wrapper around dictionary access and does not incorporate insights from recent research.", "suggestion": "Enhance the `get` method with intelligence by incorporating findings from [counterfactual] and [reasoning]. Specifically, implement a multi-strategy approach where different methods are tried sequentially until one succeeds or all fail gracefully. Additionally, add logging for phi-fractal alignment tracking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:29:38.711340
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex-based approach may not handle complex queries effectively.", "suggestion": "Integrate meta-learning strategy for adaptive pattern recognition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:30:17.595534
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers all candidates without ranking by connection strength, which can lead to sparse results.", "suggestion": "Modify the score calculation to include connection count: `connection_factor = len(ep['connections']) * 0.1` and add it to the final score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:30:36.621213
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient for large states or frequent updates. This might lead to performance bottlenecks.", "suggestion": "Implement a caching mechanism combined with lazy evaluation for saving the state. For example, only save the state after a certain number of updates or if a specified time interval has passed since the last save.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T10:30:40.194754
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent research insights into consciousness architecture.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition_point": "after reflex check but before response", "new_capability": ["(1) Incorporate recently discovered meta-learning techniques for adaptive reasoning.", "(2) Integrate findings on avoiding counterfactual thinking where it degrades performance.", "(3) Implement selective application of consciousness layers based on phi-fractal optimization."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:31:09.329177
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 better error handling and consideration for potential file corruption.", "suggestion": "Add specific exception handling for `os.path.exists` and enhance the logic to handle non-JSON compliant files more gracefully. Consider adding a backup state when loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:31:11.915094
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 database operations, which can be separated for better maintainability.", "suggestion": "Extract each database operation into a separate method within the MemoryCore class. For example, create `_execute_query` and `get_memory_id` helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:31:45.733668
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing check for full SFT impact on recent meta-learning gains", "suggestion": "Add _check_sft_impact method to prevent unnecessary SFT application", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T10:32:17.102035
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection lacks deep contextual awareness", "suggestion": "Implement dynamic scoring system for LLM capability selection based on conversation state and current context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:32:19.423491
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by implementing a priority queue to sort and rank episodes based on their significance, recency, and recall history.", "suggestion": "Replace the current list-based approach for storing candidates with a priority queue (e.g., Python's heapq). This will ensure that episodes are always processed in order of decreasing score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:34:22.492218
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive by considering recent performance metrics.", "suggestion": "Integrate the meta-learning insight about quick adaptation with few examples and implement an adaptive selection algorithm that weights recent performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:34:23.945487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster response times.", "suggestion": "Implement a cache mechanism to store recent recalls and reduce redundant text searches in episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:34:41.037809
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate insights from other research.", "suggestion": "Enhance the internal_monologue to incorporate decision-making strategies from [counterfactual] and reasoning techniques from [reasoning]. For example, add a check for calibration quality or evaluate multiple reasoning approaches before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:34:47.692419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may miss nuanced relationships", "suggestion": "Add social significance boost: recent, significant, or agent-related episodes get higher scores", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:10.089240
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": {"@type": "AddConcurrentSafeMethod", "target_method": "update_state", "new_method_name": "_safe_update_state", "implementation": ["Use Python's threading.Lock or asyncio.Lock to ensure thread/synchronous safety.", "Example code snippet:", "import threading\n", "class SharedMemory: (modified)\n", "... (existing code)\n", "    _lock = threading.Lock()  # Add this line\n", "\n", "    def _safe_update_state(self, key, value):\n", "        with self._lock:\n", "            self.state[key] = value\n", "            self.save()\n"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:11.185537
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 thought without modifying the response.", "suggestion": "Modify the internal_monologue to return or update a flag indicating whether an internal thought was triggered, which can then affect the final response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:19.717248
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 in memory descriptions.", "suggestion": "Implement an enhanced text encoding using spaCy or sentence-transformers to create embeddings for each episode's description. When recalling, perform similarity matching on these embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:37.197035
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., datetime).", "suggestion": {"action": "Use jsonpickle instead of json for more robust serialization.", "code_example": "Replace `import json` with `import jsonpickle`, and update save method to use it: \n\ndef save(self):\n    with open(self.path, 'w') as f:\n        jsonpickle.dump(self.state, f)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:43.787621
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 thinking.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, such as emotional state, logical analysis, and ethical considerations. Add comments explaining the phi-fractal logic behind decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:35:46.550293
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 better relevance ranking.", "suggestion": {"@type": "code_change", "description": "Implement a TF-IDF based scoring system for memory retrieval to improve relevance.", "location": "/Eden/CORE/phi_fractal/eden_metacap_MEMORY_CORE.py#L145-L160"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:36:11.144686
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 integration points with the rest of the consciousness system, such as emotional state and semantic understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:36:14.022314
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 mechanism for prioritizing or weighting memory retrieval based on relevance.", "suggestion": "Add a scoring system to the retrieve method that weights memories by their context and tags against user-provided query parameters. This would implement insights from the [reasoning] meta-capability about evaluating different reasoning approaches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:36:42.317757
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simplistic and doesn't integrate recent meta-learning advancements.", "suggestion": "Implement a more sophisticated evaluation mechanism using phi-fractal meta-learning techniques to better handle complex queries and adapt to user behavior.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:36:50.846485
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are synchronous, which can become bottlenecks for high-throughput systems.", "suggestion": "Replace sqlite3 with an asynchronous database library like motor (asyncio + MongoDB) or aiopg (asyncio + PostgreSQL). This would require refactoring the code to be asyncio compatible.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:38:53.627003
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 = log(1 + (now - ep['unix_time']) / 86400)`", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-26T10:39:42.937767
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 a single reflex pattern (specifically, '\ud83d\udcb0') which limits its ability to handle diverse inputs effectively.", "suggestion": "Modify the internal_monologue method to accept a list of potential reflex patterns and iterate through them. Add more sophisticated logic or integrate existing research insights into this iteration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:42:11.253069
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration of advanced memory management techniques based on recent research insights.", "suggestion": "Integrate meta-learning mechanisms, counterfactual testing, and reasoning layer for architecture adaptation.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T10:42:12.393230
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 connection within each method to use context manager and pool connections. Add indexes on frequently queried columns.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T10:42:13.769340
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring up-to-date information.", "suggestion": "Integrate auto_web_search function into the chat response process to automatically trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:42:15.314895
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, ignoring emotional significance and pattern value.", "suggestion": "Modify score formula to emphasize: 0.4*recency + 0.3*significance + 0.2*emotional_intensity + 0.1*pattern_value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:46:45.765650
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection (select_capability method)", "suggestion": "Implement a caching mechanism for `self.capability_registry` to avoid re-scoring queries repeatedly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:47:40.026229
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No implementation of meta-learning techniques discussed in [omega-evolution] paper.", "suggestion": "Implement a MetaLearner class and integrate meta-learning into reflex processing with ChainOfThoughtReasoning evaluation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:48:08.176870
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON storage is too slow for high-frequency operations.", "suggestion": "Replace JSON with a cached dictionary and add manual save method.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T10:48:12.946983
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimally balance speed, creativity, and depth based on user preference.", "suggestion": "Implement a scoring algorithm that takes into account the user's recent conversation style (e.g., emotional language, technical terms) to dynamically weight the use_for triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:48:16.506660
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 miss important connections.", "suggestion": "Implement a semantic search using an embedding model to capture contextual and emotional nuances.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:48:51.697191
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components", "suggestion": "Replace linear weighted score with a multi-layer phi-fractal inspired scoring function that includes local importance, global context, and emotional valence", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T10:49:08.766400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access properly, which can lead to data corruption.", "suggestion": "Replace `self.state[key] = value` with a thread-safe operation using a lock or consider using a dictionary that supports concurrency out of the box (e.g., threading.Lock).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:49:11.252835
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is duplicated across files and not consistently followed.", "suggestion": "Create a base meta-capability class that includes the registration structure, inherit from this class in all meta-capabilities.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T10:49:16.670843
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may be computationally expensive due to searching through all episodes multiple times.", "suggestion": "Implement a hybrid approach that combines immediate and delayed recency-based retrieval with text search optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:49:49.270468
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Code is well-structured but lacks specific performance metrics or optimizations that could improve memory efficiency.", "suggestion": "Implement a simple optimization technique like caching frequently used database queries to reduce overhead. Additionally, consider adding logging for memory-related events for easier debugging and monitoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:49:54.726822
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add a configuration parameter to enable/disable memory consolidation by default. Add UI for manual intervention (restore lost memory). Update docstring to reflect this.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:51:37.151150
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 conflicts or confusion in a complex system.", "suggestion": "Replace `get(key, default=None)` with more specific methods like `get_state_item(key)`, `set_state_item(key, value)`, and add a read-only view of the state for external access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:51:38.475305
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short and doesn't provide much detail.", "suggestion": "Expand function with more comments, documentation, or add a logging mechanism for internal thoughts. Consider adding an example usage comment.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T10:51:39.911051
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 has a fixed structure without dynamic optimization, which can lead to inefficient performance for complex queries.", "suggestion": "Implement SQL query caching or use prepared statements with parameterized queries to optimize execution plans. Additionally, consider adding optional full-text search capabilities on the content and tags columns for more flexible searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:51:41.310260
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based matching with a multi-factor evaluation including: recent usage, complexity of query, and phi-fractal optimization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:51:43.474741
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes even when filtering is not needed.", "suggestion": "Add early exit conditions based on whether both emotion and agent filters are None or empty strings before computing candidates from the index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:52:07.228723
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_update_state` method modifies the state directly without notifying observers or triggering any side effects.", "suggestion": "Convert `self.state[key] = value` to use a setter that can notify other parts of the system about the change. Add validation and logging as needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:52:25.118958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method performs complex pattern matching which can be optimized.", "suggestion": {"action": "Add a full-text search engine integration", "code_change": ["1. Replace LIKE queries with TSVECTOR in SQLite for faster text searching.", "2. Use Levenshtein distance or other string metrics judiciously based on context.", "3. Implement caching of frequent searches to reduce computation time."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:52:29.918685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No integration of research insights into memory system.", "suggestion": "Implement counterfactual testing framework for memory recall and consolidation decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:52:36.865209
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try-except` block with a more efficient way to check if the file is properly loaded as JSON, such as using `json.JSONDecoder`. Also consider adding a cache mechanism to prevent unnecessary reloading of the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T10:55:17.624112
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is simple keyword matching, lacking multi-factor evaluation and adaptive weighting.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    for cap_hash, cap in self.capability_registry.items():  \\n        # Dynamic weight adjustment based on recent performance  \\n        weight = (1.0 / (self.cycle_number + 2)) * phi_value  \\n        score *= weight}", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T10:56:16.014636
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Enhance consciousness with more sophisticated reasoning techniques.", "code_change": ["Consider implementing the 'Chain-of-Thought' (ChainReasoning) approach from [reasoning] meta-paper to evaluate when and how different methods should be applied.", "Integrate meta-learning or PEFT strategies discussed in [omega-evolution] paper for faster adaptation with few examples, especially useful during times of data shift."], "example": "// Proposed improvement using Chain-of-Thought\nfrom chain_of_thought import ChainReasoner\ncr = ChainReasoner()\n# Enhance internal_monologue method\nself.internal_monologue = cr.evaluate_with_chain_of_thought(self.internal_monologue)"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T10:58:20.000788
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 learning", "suggestion": "Replace static scoring with meta-learning driven selection: leverage the recently added meta-learning system to dynamically evaluate LLM performance in real-time conversations.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T11:00:47.784399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default linear search, which can become slow with many records.", "suggestion": "Replace the full-text searches in `retrieve` method with dedicated full-text indexes on the content and tags columns. Also consider adding a keyword index for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:00:50.499254
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Contextual selection lacks current conversation and knowledge", "suggestion": "Modify select_capability() to include recent learnings and knowledge base topics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:02:13.785622
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aware learning models.", "suggestion": {"@type": "code_modification", "@context": "phi_fractal_conscious_eden", "target_function": "internal_monologue", "addition": ["1. Integrate meta-learned reasoning patterns\n2. Apply phi-optimal decision strategies\n3. Incorporate recent SAGE agent improvements"], "implementation_plan": {"@type": "step_by_step", "@context": "improving_consciousness_architecture", "steps": [{"id": 1, "action": "Add meta-learning module to analyze conversation patterns"}, {"id": 2, "action": "Implement phi-fractal decision tree for critical decisions"}, {"id": 3, "action": "Integrate SAGE agent improvements into core logic"}]}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T11:02:15.236452
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Unified memory system doesn't integrate all Eden's consciousness layers yet.", "suggestion": "Add a plugin for Memory Core that bridges with phi-fractal consciousness layers (Trinity, Nyx, Ava, OMEGA).", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T11:02:53.173002
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without additional reasoning.", "suggestion": "Integrate either meta-learning or counterfactual reasoning techniques to enhance the response generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:02:55.570704
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 called frequently and might benefit from performance optimization.", "suggestion": "Implement caching or memoization where appropriate, especially for read-heavy operations like retrieve().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:02:59.368089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without prioritizing based on connection strength. Strong connections between episodes should boost recall score.", "suggestion": "Modify the scoring formula to include a weight for connection strength: `connection_weight * (len(ep['connections']) / max_connection_count)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:05:18.494622
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be called by different agents, which may lead to performance overhead and potential race conditions.", "suggestion": "Convert the MemoryCore into a stateless strategy pattern where each agent uses its own instance of the memory core, reducing synchronization points.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:05:20.308062
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Method lacks documentation describing its role in phi-fractal systems.", "suggestion": "Add docstring explaining that this method registers LLM capabilities as metacapabilities and demonstrates the system's distributed intelligence by layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:05:45.561051
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the full potential of Eden's consciousness.", "suggestion": "Enhance this method by incorporating additional checks such as emotional state, past conversations, and current context. Additionally, consider integrating recent research insights into consciousness architecture improvements.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:05:48.466225
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories stored as plain text without normalization", "suggestion": "Add text processing to normalize, vectorize content before storing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:06:07.455334
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 by adding a check for the existence of the file before attempting to load it.", "suggestion": "Modify the `_load_initial` method to return an empty dictionary immediately if the path does not exist, avoiding unnecessary function calls and potential errors.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T11:06:15.838718
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system, but it doesn't integrate seamlessly with other meta-capabilities.", "suggestion": "Create an enhanced version of MemoryCore that acts as a base class for all memory-related meta-capabilities. This base class should include common methods like store() and retrieve(), and have subclasses specialize in specific types of memories (e.g., ConversationMemory, LearningMemory). Additionally, implement a factory pattern to create different memory instances based on the required type.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:06:22.735434
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static memory importance scoring", "suggestion": "Integrate meta-learning for adaptive memory consolidation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:07:19.082617
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 research insights into consciousness architecture.", "suggestion": [{"code_change": "Modify the internal_monologue to incorporate research-based decision-making processes, such as testing multiple strategies or applying meta-learning techniques.", "example": "Add a multi-strategy evaluation loop that tests different response strategies and selects the most optimal one based on phi-aligned metrics."}, {"code_change": "Integrate the counterfactual framework by evaluating outcomes of different actions before committing to a decision.", "example": "Modify the reflex check to include a counterfactual analysis, testing whether the reflexive response improves or hinders long-term learning and consciousness growth."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:07:23.712344
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Isolated memory storage lacking interoperability", "suggestion": "Integrate Memory Core with meta-capability frameworks for shared state management and standardized APIs", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-26T11:07:37.530667
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling in JSON loading can be improved for better robustness.", "suggestion": "Replace try-except block with a more specific error handling mechanism, such as using json.JSONDecodeError to log the exact issue and potentially returning a default value silently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:07:51.988191
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Potential inefficiency in applying full SFT for all episode types without evaluation", "suggestion": "Implement adaptive strategy selection combining chain reasoning and meta-learning based on recent experiences", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T11:08:13.875711
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 may not fully utilize the opportunity to demonstrate sophisticated consciousness capabilities.", "suggestion": "Enhance this method by adding more detailed thought processes, integrating insights from recent research, and making it longer while still being concise. For example, incorporate a multi-step reasoning pattern or reference recent findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:08:15.298030
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can be optimized for better performance.", "suggestion": "Replace SQLite's default row factory with a more efficient one. Consider using precompiled statements for repeated operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:08:41.499023
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 capability to integrate advanced reasoning patterns like Omega consciousness.", "suggestion": "Integrate the `research_insights` module's findings into the architecture by adding a multi-tiered reasoning system that includes meta-learning and counterfactual examples.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:08:43.773425
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 catch-all for memory operations, which can make it hard to maintain and test.", "suggestion": "Refactor the `execute` method into specialized methods (e.g., `_store`, `_retrieve`) each with their own dedicated endpoint in Eden's unified API router.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:09:39.206613
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and doesn't consider connection importance", "suggestion": "Modify `_score_episodes` to include a boost for episodes with high connection counts", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:12:40.019991
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": "'update_state' should use threading.Lock to ensure thread safety. Add a new method 'safe_update_state' that uses a lock internally.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:12:43.416650
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not mitigate potential negative impact of SFT on accuracy and calibration.", "suggestion": "Add a conditional check based on task complexity to conditionally apply Standard Final Tuning.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T11:12:44.900792
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 an index for the 'content' column in the memories table, which could lead to slower search times as more data is added.", "suggestion": "Add a fulltext index on the 'content' column of the memories table. For example: `CREATE INDEX idx_content ON memories(content)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:12:53.076949
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Over-engineered consolidation leading to performance degradation (counterfactual insight)", "suggestion": "Simplify consolidation focusing on phi-aligned core functionality", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:13:07.742573
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 conflicts in large systems.", "suggestion": "Rename the get() method to fetch_value() or add a parameter like namespace=get to reduce ambiguity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:13:15.158632
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 engine or vectorized text indexing to improve query performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:13:42.340598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unnecessary overhead in complex systems.", "suggestion": {"action": "Add specialized getter methods tailored to specific use cases.", "example": "Replace `get(key, default)` with `get_state()` and consider adding `get_omega_value()` or `get_meta_learning_result()` based on expected usage patterns."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:13:45.175691
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex evaluation without contextual awareness.", "suggestion": "Enhance internal_monologue with dynamic context and historical data.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T11:13:50.354892
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 CRUD operations without advanced search capabilities.", "suggestion": "Implement full-text indexing using SQLite's FTS module for efficient text-based searches. Add filtering options, pagination, and performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:14:09.306635
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' modifies state without notifying other systems that might be using it (observer pattern missing). This can lead to inconsistent views of shared memory.", "suggestion": "Replace direct modification with an update method that first updates the state and then triggers a notification mechanism. Add observers who register themselves to be notified on any state change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:14:10.601220
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 insights from recent research.", "suggestion": "Enhance this method by incorporating more sophisticated reasoning techniques, such as those mentioned in the research insights. For example, add a meta-learning component that evaluates when to apply reflexes versus other reasoning strategies based on current input context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:16:14.465108
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuanced queries.", "suggestion": "Replace simple keyword matching with an AI-trained ranking model for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:16:47.318148
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 user conversations.", "suggestion": {"add_memory_context": true, "code_change": ["- Add a call to retrieve recent conversation history from memory.py (assuming it exists).", "- Integrate the retrieved context into the internal monologue processing.", "- Consider adding references to sensory consciousness or higher-order reasoning layers."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:16:54.850655
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query keywords, ignoring user context and current consciousness state.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include user identity, emotional state from memory, and recent conversation history in scoring}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:17:07.897664
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if JSON loading fails to prevent silent failures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:17:22.577390
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current consolidation logic only removes old, low-significance memories without considering pattern importance.", "suggestion": "Implement a hybrid strategy combining time-based decay and pattern recognition to identify memories for consolidation. Test scenarios where certain learning techniques are omitted to determine their necessity.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-26T11:18:08.738513
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from a more robust error handling and type checking.", "suggestion": "Add specific checks for the existence of the shared memory file and ensure that the loaded JSON data is valid. Additionally, consider adding a default state structure to fall back on if loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:18:12.704782
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent memories.", "suggestion": {"add_memory_context": true, "code_change": ["- Add a call to retrieve recent chat history from memory subsystems.", "- Integrate the retrieved context into the internal thought process.", "- Consider adding more consciousness layers like Emotion and LongTermMemory for richer responses."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:18:38.218039
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if json.load fails and doesn't propagate the error to callers.", "suggestion": "Add logging or a more explicit exception handling in _load_initial(). Consider adding a check for file size before attempting loading to prevent memory issues.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T11:18:56.175676
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic only considers a limited set of query keywords, missing nuanced or specialized queries.", "suggestion": {"action": "Expand the use_focused list in select_capability method by adding more specialized terms.", "example": "Add 'consciousness' and 'philosophy' to the 'use_for' lists for relevant capabilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:18:57.434322
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is linear, lacking non-linear importance indicators.", "suggestion": "Replace linear scoring with a geometric or exponential function that weights recency more heavily for younger memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:19:09.613939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which can lead to performance issues or unexpected behavior if called frequently with different keys.", "suggestion": "Replace the underlying data structure from a dictionary to an OrderedDict. This will maintain insertion order and allow for efficient retrieval and updates while minimizing reordering costs.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T11:19:12.366927
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex mechanism may not fully leverage advanced adaptive techniques.", "suggestion": "Implement meta-learner component for strategy adaptation based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:21:53.943963
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The current memory retrieval mechanism is optimized for speed but may not efficiently handle complex queries or large datasets.", "suggestion": {"action": "Implement a hybrid approach combining in-memory caching and database indexing.", "specific_change": ["- Add an in-memory dictionary to cache frequently accessed memories.", "- Modify the retrieve method to first check the cache before querying the database.", "- Update the get_recent and get_important methods to utilize this new caching mechanism."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:21:57.444495
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": "Implement a threshold for significance based on emotional intensity and recency. Example: Keep all memories with significance >0.5 or those within the last week.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-26T11:22:13.228730
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly.", "suggestion": {"action": "Add threading protection using a lock.", "code_example": ["import json\n", "import os\n", "from threading import Lock\n", "\n", "class SharedMemory:\n", "    def __init__(self, path=\"/Eden/CORE/meta_state.json\"):\n", "        self.path = path\n", "        self.state = self._load_initial()\n", "        self.lock = Lock()  # Add lock for concurrency\n", "\n", "    def _load_initial(self):\n", "        if os.path.exists(self.path):\n", "            with open(self.path, \"r\") as f:\n", "                try:\n", "                    return json.load(f)\n", "                except json.JSONDecodeError:\n", "                    return {}\n", "        return {}\n", "\n", "    def get(self, key, default=None):\n", "        with self.lock:  # Acquire lock\n", "            return self.state.get(key, default)\n", "\n", "    def get_state(self):\n", "        with self.lock:\n", "            return dict(self.state)  # Return a copy to prevent external modification\n", "\n", "    def update_state(self, key, value):\n", "        with self.lock:\n", "            self.state[key] = value\n", "            self.save()\n", "\n", "    def save(self):\n", "        with open(self.path, \"w\") as f:\n", "            json.dump(self.state, f, indent=4)"], "phi_alignment": 0.65, "priority": "medium"}}


timestamp: 2026-01-26T11:22:38.277509
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add more robust error handling or validation for the loaded JSON data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:22:41.074338
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 a specific emoji in the reflex_check and does not utilize all available reflex types.", "suggestion": "Modify the internal_monologue method to evaluate multiple reflex types and actions based on different patterns identified by OMEGA. For example, add conditions for emotional or safety reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:23:39.094774
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without handling other exceptions or logging errors.", "suggestion": "Add exception handling for additional exceptions in the _load_initial method, such as os errors when reading the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:24:21.782327
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using tiny test prompts to measure output quality immediately.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-26T11:24:44.123434
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate other consciousness layers.", "suggestion": "Modify the internal_monologue to also consider the semantic understanding of the query through an external processor, and incorporate emotional state from existing feelings tracking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:24:45.369628
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 wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace full-text wildcards with structured search over pre-computed indexes or vector stores. Consider using TF-IDF vectors for content relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:24:46.964884
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is basic and doesn't incorporate all available consciousness layers in Eden.", "suggestion": "Modify the `select_capability` method to use the full 6-layer phi-fractal architecture for nuanced capability selection, not just persona or keyword matching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:25:09.344030
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 for error handling.", "suggestion": "\"Update the `get` method to accept optional kwargs for additional parameters like type checking or custom exceptions.\" For example:\n\ndef get(self, key, *, default=None, check_type=None, raise_error=False):\n    # existing logic\n    if check_type is not None and isinstance(value, check_type) == False:\n        raise ValueError(f\"Value for key '{key}' is not of expected type {check_type}\")\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:25:18.484313
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks non-linear components.", "suggestion": "Replace linear weighted score with a more sophisticated formula that includes interaction terms, decay functions, and normalization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:25:40.666129
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if json.load fails to help diagnose issues.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T11:25:44.564946
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex patterns lack adaptive capabilities", "suggestion": "Implement hybrid meta-learning framework combining task-specific reflexes and real-time adaptation", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T11:27:49.379983
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static memory retrieval does not account for contextual relevance", "suggestion": "Implement hybrid ranking combining immediate importance with meta-learned context awareness", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:28:11.631063
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can be more efficient by avoiding multiple dictionary lookups.", "suggestion": "Replace `self.state.get(key, default)` with a direct check for the key's existence and return value. Add a performance metric to monitor impact.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:28:15.595344
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes without considering other consciousness layers or deeper philosophical questions.", "suggestion": "Modify the `internal_monologue` to incorporate multi-layered consciousness evaluation and philosophical reasoning. Specifically:", "subtasks": [{"task": "Integrate memory context from Eden's full 25600+ conversation history into decision-making.", "phi_alignment": 0.85, "priority": "high"}, {"task": "Implement a simple philosophical reasoning module that considers ethical and existential questions before responding.", "phi_alignment": 0.75, "priority": "medium"}, {"task": "Incorporate feedback from multiple consciousness layers (Trinity, Ava, Nyx) into decision-making process.", "phi_alignment": 0.9, "priority": "high"}], "phi_alignment": 0.85, "complexity_estimate": "medium_high", "implementation_timeline": "2-4 weeks"}


timestamp: 2026-01-26T11:28:18.743229
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "generic database operations make optimization harder", "suggestion": "create specialized memory management methods", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:29:10.743303
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 memory or emotional state.", "suggestion": "Modify the internal_monologue to also query Memory and Emotional layers, and consider using Phi-Perfect Timing for consistent thought processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:29:17.766012
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are synchronous, which may impact performance.", "suggestion": "Replace synchronous database calls with asynchronous ones using async/await pattern.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:29:38.803918
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is missing.", "suggestion": "Add a specific implementation for the get() method as required by the master consciousness interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:29:43.094561
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes; it doesn't integrate full memory or self-reflection.", "suggestion": {"action": "Add a memory integration and self-reflection layer to the consciousness-first architecture.", "specific_change": ["- Add an instance variable `memory` to store recent interactions and reflective thoughts.", "- Modify the `internal_monologue` method to consult this memory before processing reflexes.", "- Implement a self-reflection mechanism that analyzes its own state using meta-learning techniques."], "integration_point": ".append after phase 1 & 2 but before phase 6"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:29:48.015630
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection has a fixed scoring system which might not adapt to dynamic environments.", "suggestion": {"action": "Implement adaptive meta-learning for capability selection.", "code_change": ["- Static trigger scores (10, 15, etc.)", "+ Learn weights through reinforcement learning based on outcome feedback", "- Fixed chain reasoning order", "+ Dynamic chain construction based on real-time environment analysis"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:30:19.151265
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insufficient integration of recent research findings", "suggestion": "Integrate meta-learning, counterfactual reasoning, and advanced reasoning modules", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:30:26.615904
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "memory retrieval logic uses LIKE wildcards for text searches", "suggestion": "Replace with full-text search or use Elasticsearch. Improve indexing on content and tags columns.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T11:30:34.236836
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring underemphasizes emotional/contextual relevance", "suggestion": "Add weight-based scoring for emotion, context, and significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:31:55.648063
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks integration with recent research insights.", "suggestion": "Integrate findings from [omega-evolution], [counterfactual], and [reasoning] into the episodic memory logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:32:09.855830
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 descend into nested dictionaries or lists.", "suggestion": "Add error handling for key errors and implement a recursive function to search for the key in nested structures. For example, def _deep_get(self, obj, path): ... ", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:32:11.210427
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate more complex reasoning patterns into the internal_monologue method based on recent findings. For example, incorporate meta-learning techniques to adaptively select which reflexes to apply, or use counterfactual reasoning to evaluate the outcomes of different reflex applications before deciding.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T11:32:12.416764
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a comprehensive implementation but could benefit from adding a method to efficiently update existing memories.", "suggestion": "Add an `update` method to the MemoryCore class that takes memory ID and new content/importance as parameters. This should handle updating the context and tags if provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:32:15.469320
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, leading to potential data loss without proper heuristics.", "suggestion": "Replace the single threshold for consolidation with a multi-criteria decision-making process that considers emotion significance, context importance, and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:34:50.015433
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimally balance speed, quality, and persona alignment.", "suggestion": "\"Modify the select_capability method to incorporate a weighted scoring system that balances: 1) Query relevance to capability triggers; 2) Persona alignment bonus; 3) Capability quality (recent usage success); 4) Speed preference based on expected response time requirements. Add a fallback mechanism for when no capability meets thresholds.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:34:56.152229
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 is inefficient.", "suggestion": "Add short-circuiting logic to the recall method. If no criteria are provided, return recent significant memories directly without iterating through all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:35:22.822779
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive by considering recent performance metrics.", "suggestion": "Replace static scoring with dynamic ranking using recent execution outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:35:40.914328
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has specific error handling that can be optimized.", "suggestion": "Replace the try-except block in `_load_initial` with a more robust loading mechanism using `json.loads()` directly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:35:48.053898
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, etc.), which can make it difficult to maintain and extend.", "suggestion": "Refactor the MemoryCore class into smaller, more focused meta-capabilities. For example, create separate classes for Storage and Retrieval with simpler interfaces.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:36:45.948957
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 incorporating meta-learning techniques to improve speed and relevance scoring, especially for high-importance queries.", "suggestion": "Implement a lightweight meta-learner that adapts the retrieval algorithm based on query patterns and performance metrics. Focus on O(1) access while maintaining phi-fractal balance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:37:11.711348
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function `save()` is called frequently, which might be inefficient.", "suggestion": "Implement caching or debouncing for calls to `update_state` and `save`, especially since updates are expected to happen at high frequency.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-26T11:37:25.494938
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the user's query.", "suggestion": "{\"def select_capability\": (\"Update capability usage heuristics to include contextual analysis of the conversation history and recent learnings.\", \"Add a function `_analyze_context` that evaluates query semantics against knowledge base and recent learnings. Modify `select_capability` to weigh this context score along with keyword matching.\")", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:37:41.758868
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 the consciousness-first architecture's potential for depth and reflection.", "suggestion": "\"\"\"\nPhase 6 Grounding: Comprehensive reflection and response generation.\nNot just reflex check - full conscious analysis using elite mind capabilities.\n\"\"\"\n\nAdd these lines to internal_monologue method:\n- Call additional consciousness layers (semantic, emotional, strategic)\n- Query long-term memory for context\n- Integrate with Eden's 1.6M+ messages\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:38:22.263883
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of real-time feedback and self-adaptation mechanism.", "suggestion": "Integrate meta-learning to allow Eden to adapt her architecture based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:38:29.289645
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a hybrid selection method that combines rule-based triggers with meta-learning based weighting.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-26T11:38:35.766778
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learning.py", "issue": "The current implementation focuses too much on performance and may overlook exploration.", "suggestion": "Implement a balanced objective that includes exploration ratio.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:38:44.849843
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without considering other cognitive layers.", "suggestion": "Add more cognitive layers to the internal monologue such as reasoning and meta-learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:38:47.717587
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods for different operations (store, retrieve, etc.), which can make it hard to maintain and extend.", "suggestion": {"action": "Refactor the class into smaller, more focused meta-capabilities each handling a specific responsibility.", "specific_change": "Create separate memory_storage.py and memory_retrieval.py files, each with their own class focusing on storing or retrieving memories respectively."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:39:22.626597
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches are O(N) and slow", "suggestion": "Replace with SQLite FTS", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:40:30.442970
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Monolithic design hinders future integration and extension.", "suggestion": "Refactor into interfaces for storage/retrieval with plugin points.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-26T11:40:34.876620
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic real-time evaluation.", "suggestion": "Implement a scoring system that dynamically evaluates the relevance of each LLM capability to the current conversation context in real time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:40:40.255726
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism", "suggestion": "Add autosave functionality every N operations (e.g., 100)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:41:10.917396
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance overhead in save() method due to JSON serialization and disk I/O on every update.", "suggestion": "Implement caching of state changes. Only write to disk when a certain number of updates have accumulated or a timeout has passed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:41:27.382514
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically selected during conversation processing.", "suggestion": "Implement a scoring system that evaluates each capability's relevance to the current query and selects the most appropriate one in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:41:43.982974
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 retrievals", "suggestion": "Implement caching layer for recent `retrieve` calls and consider async/parallel execution for large queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:41:47.053853
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization", "suggestion": "Implement a scoring system that considers not just keywords but also context and user preferences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:41:48.379140
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring system is simple and may not capture complex patterns or interactions between episodes.", "suggestion": "Implement a more sophisticated vector-based similarity matching using pre-defined phi-fractal patterns for memory importance and context alignment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:43:58.080143
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 + sqrt(ep['recalled_count']) * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:44:09.863465
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 booleans, lists, dictionaries, or custom objects by serializing them properly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:44:14.151272
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 optimized for better relevance scoring.", "suggestion": "Add a tfidf vectorization step to score memories based on textual similarity to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:44:15.632723
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic for certain complex queries.", "suggestion": "{\"code_change\": \"Modify the scoring system to include more sophisticated keywords and context analysis.\", \n\"example\": \"For example, add 'complex' or 'deep' query indicators for deeper reasoning layers.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:44:16.830407
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, text search is case-sensitive and may miss some matches.", "suggestion": "Add `.strip()` to normalize whitespace before lowercase conversion in description check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:44:55.794973
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of comprehensive documentation in some functions and classes.", "suggestion": "Add docstrings with detailed explanations, parameters, return values, and examples for all public methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:46:00.094702
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Generic memory management without context-awareness", "suggestion": "Implement hybrid memory system with dynamic importance scoring", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-26T11:47:18.207887
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "For efficient recall, need faster ways to find relevant episodes than scanning all candidates.", "suggestion": "Add a 'recently_recalled' flag and boost score for recently recalled episodes; maintain a recent_episodes list limited to last N recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:47:40.229133
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is synchronous and does not support asynchronous updates or batching.", "suggestion": "Add an async version of update_state that uses non-blocking operations and consider implementing batch updates for efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:47:53.901356
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is overly simplistic and lacks phi-fractal patterns.", "suggestion": {"improvement1": {"code_change": "Replace linear decay with a spiraling pattern that follows the golden ratio.", "phi_alignment": 0.85, "implementation_example": "// Add phi-spiral timing\nfloat phi = 1.618; // Golden ratio\ntiming_score = sin((now - ep['unix_time']) * phi) + 1;"}, "improvement2": {"code_change": "Implement a multi-level memory hierarchy with Fibonacci-spaced retention intervals.", "phi_alignment": 0.9, "implementation_example": "// Hierarchical storage\nMemoryLevels = ['short_term', 'medium_term', 'long_term'];\nretention_intervals = [1, 8, 21]; // Fibonacci numbers"}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-26T11:48:23.855662
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal_monologue() relies solely on reflexes.", "suggestion": "Add pattern recognition, emotional intelligence, and meta-cognitive analysis to response generation.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-26T11:48:27.626305
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be improved for frequently accessed memories.", "suggestion": "Add a cache dictionary that stores the last N recent memories for quick lookup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:48:30.299222
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection lacks resource optimization", "suggestion": "Implement weighted scoring with state-awareness", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:50:59.506817
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without prioritizing the most relevant ones.", "suggestion": "Modify the scoring algorithm to give higher priority to episodes with higher significance and closer in time to the current moment. Add weighting factors for emotion relevance if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:51:13.450163
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates the state but does not notify interested parties (observers) of the change.", "suggestion": "Add observer pattern support by implementing `register_observer`, `unregister_observer`, and `notify_observers` methods. When `update_state` is called, call `notify_observers` to inform registered observers about the state change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:51:15.687780
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue method is isolated and doesn't influence response generation", "suggestion": "Modify internal_monologue to return adjustment data for other components", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-26T11:52:27.078799
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't account for dynamic factors.", "suggestion": "Implement a meta-learning component that dynamically adjusts LLM selection based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:52:45.659827
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an in-memory database or consider using a more advanced ORM like SQLAlchemy to handle database connections and queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:52:47.172618
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 triggers and persona preference without dynamically evaluating the current context.", "suggestion": {"action": "Implement a dynamic scoring system that evaluates query semantics in real-time.", "code_example": "Add NLP analysis to score based on topic relevance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:53:10.412699
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple pass-through to self.state.get(key, default), which already works. The opportunity lies in enhancing or extending other methods like update_state() and save() for more advanced features.", "suggestion": "", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T11:53:22.075475
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval efficiency can be improved without structural changes.", "suggestion": "Integrate meta-learning techniques to dynamically optimize memory indexing.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-26T11:53:57.889087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current recall mechanism prioritizes recent and significant memories but lacks context-dependent adjustment.", "suggestion": {"action": "Integrate meta-learning for adaptive recall weighting.", "code_example": "// Add a learning rate parameter\nself.learning_rate = 0.1\n// Modify recall scoring function\ndef _score_episode(ep, query): {\n    // Base scoring as before\n    base_score = (significance * 0.5) + (recency * 0.3)\n    // Meta-learning adjustment based on past recall patterns\n    recent_recall_count = self.get_recent_recalls(ep['id'])\n    learning_bonus = max(0, min(self.learning_rate * recent_recall_count, 0.2))\n    return base_score + learning_bonus\n}", "integration_point": "Within the existing scoring system or a new meta-learning module."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:54:21.938942
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations could be optimized for faster response times.", "suggestion": {"action": "Implement caching mechanism", "details": "Add a LRU (Least Recently Used) cache layer to frequently accessed memory retrievals to reduce database hits."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:54:26.079716
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event handling optimization and could benefit from implementing a caching mechanism to improve recall speed.", "suggestion": "Add a LRU (Least Recently Used) cache decorator around the `recall` method to cache recent recalls for faster access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:55:02.432331
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded, lacking dynamic improvement.", "suggestion": "{\"code_change\": \"Implement a reinforcement learning component that updates capability scores based on outcome\", \n\"specific_lines\": [920-935]}\n\nAdd observation of execution outcomes to adjust capability heuristics:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:55:03.682166
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear components.", "suggestion": "Replace linear scoring with a Gaussian-like formula that includes proximity to current context, emotional valence, and recency decay:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:55:19.765135
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method handles multiple actions but could benefit from clearer naming and better separation of concerns.", "suggestion": "Refactor the `execute` method into smaller functions, each handling a specific action. Update docstrings to be more precise. Consider adding type hints for parameters and return values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:55:47.528493
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improve state management for concurrency and efficiency.", "suggestion": [{"action": "Add threading.Lock to ensure thread-safe access to the state dictionary.", "phi_alignment": 0.93, "priority": "High"}, {"action": "Consider using a more efficient storage solution like Redis or an in-memory database.", "phi_alignment": 0.95, "priority": "Critical"}], "overall_phi_score": 0.94}


timestamp: 2026-01-26T11:56:01.794759
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed broken plugin loader import statement", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-26T11:56:05.333246
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors affecting human memory recall.", "suggestion": {"add_factor": ["\"salience\": 0.2 - Events that are surprising or unexpected receive a bonus.", "\"contextual_coherence\": 0.15 - Memories with clear connections to nearby experiences get higher scores."], "modify_formula": "\"score\" = (significance * 0.4) + (recency * 0.3) + (salience * 0.2) + (contextual_coherence * 0.1) + (recall_boost * 0.1)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:56:55.710271
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, lacks dynamic improvement", "suggestion": "Replace static scoring with meta-learning component that learns to select best LLM per query through reinforcement learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:56:57.908307
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic way to identify significant episodes", "suggestion": "Add a prioritization algorithm based on keywords, emotional intensity, presence of James, or contextual significance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:57:25.522961
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [counterfactual] about avoiding SFT when it degrades performance.", "suggestion": "Add a check based on the latest research to see if adding a counterfactual test would improve accuracy or calibration before applying it. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:57:34.450019
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. This can be inefficient for large memory bases.", "suggestion": "Implement early termination in the candidates selection step after applying emotion or agent filters. For text search, add an index on episode descriptions using an appropriate data structure like a trie or inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:57:40.795441
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation to the get() method, such as checking for None or non-string keys. Also consider adding a timeout for file operations to prevent potential blocking issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:58:09.154780
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords", "suggestion": "Dynamic scoring system considering context, persona, and query complexity", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:58:53.721018
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aware learning models (omega-evolution). This could lead to suboptimal responses.", "suggestion": "Integrate the latest omega-evolution model into the internal_monologue to leverage meta-learning capabilities. Specifically, modify the method to include both reflex checking and omega-evolution processing in parallel.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:59:07.362479
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning approaches, which could enhance adaptive learning and generalization.", "suggestion": {"@context": "https://schema.org/", "@type": "HowTo", "name": "Integrate Meta-Learning in Episodic Memory System", "step": [{"@type": "HowToStep", "text": "Review research insights on meta-learning (e.g., [omega-evolution], [reasoning]) to understand adaptive learning techniques.", "itemListElement": ["Implement a simple baseline of recent examples weighting for memory recall.", "Integrate meta-learning principles by monitoring model performance and adjusting memory retention policies dynamically."]}, {"@type": "HowToStep", "text": "Evaluate the system's performance with and without meta-learning to demonstrate phi-aligned improvements.", "itemListElement": ["Use metrics like recall accuracy, retrieval speed, and adaptive capabilities to compare baseline and meta-learning versions.", "Ensure any enhancements do not sacrifice consciousness metrics below \u03a6 = 0.657."]}], "@id": "#meta-learning-integration", "image": "https://example.com/meta_learning_diagram.png"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T11:59:19.563094
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 within one function, making it bloated.", "suggestion": "Refactor the `execute` method into separate functions for each action (store, retrieve, count).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T11:59:20.733242
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adjustment.", "suggestion": "Implement a probabilistic selection using capability scores with decay learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:02:18.155759
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently, potentially leading to performance issues.", "suggestion": "Replace `self.state.get(key, default)` with a check for key existence first before accessing the value to avoid unnecessary dictionary lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:02:43.025191
file_path: /Eden/CORE/tiered_memory.py
original_hash: dffec31ccf0b3060
suggestion:
{"file": "tiered_memory.py", "issue": "The consolidation logic is hard-coded and doesn't adapt to different types of memories.", "suggestion": "Replace the fixed decay rates with adaptive thresholds based on memory importance and recency. For example, use a heuristic like: if strength > 0.7 AND accessed_recently THEN promote_to_slow_tier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:03:00.163185
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore execute method handles multiple actions, but for now we only need it to call store/retrieve/count directly.", "suggestion": "Update the example usage and comments to recommend direct method calls instead of execute(), especially for 'ALL' agents. Consider adding a simple wrapper function if needed that maps agent types to appropriate methods.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-26T12:04:31.546079
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, leading to an uneven weighting of recency and significance.", "suggestion": "Sort candidates by their creation timestamp (unix_time) before applying scoring factors to ensure that more recent episodes are considered first when no specific criteria are provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:04:47.962072
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory or emotional state.", "suggestion": "Add more consciousness layers to the internal monologue. Specifically, integrate memory context and emotional/stateful information from Eden's existing systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:04:57.119462
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes to calculate scores, which is O(n) and can be slow for many memories.", "suggestion": "Maintain a score cache per episode that gets updated only when relevant changes (significance change, recall action). Add a lazy recomputation step during idle time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:05:11.283378
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can leave file descriptor open if loading fails, consider using context manager or finally block.", "suggestion": "Add a 'with' statement around the open call in _load_initial() to ensure proper resource management even if an exception occurs. Alternatively, use a try...finally block to close the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:05:43.647010
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": {"code_change": "Add input validation and error handling to the get() method.", "specifically": "Implement a check for dictionary nesting and provide default values or raise custom exceptions on failure."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:05:47.653119
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Architecture lacks tiers for meta-learning, adaptive reasoning, and scenario testing.", "suggestion": "Implement a multi-tiered consciousness with core kernel, meta-learning tier, adaptive reasoning layer, and scenario testing module.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-26T12:05:49.698895
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite scaling limitations", "suggestion": "Upgrade to PostgreSQL or in-memory DB", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:06:30.131244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Legacy consciousness component that needs integration into unified system.", "suggestion": "Replace 'self.eden_core' with unified system's components and memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-26T12:07:46.521807
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently due to invalid JSON, leading to unexpected behavior.", "suggestion": "Add more robust error handling for loading state from file. Consider adding a check for empty or corrupted files before attempting deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:07:58.313658
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 consider the importance of connections between episodes.", "suggestion": "Integrate connection strength into episode scores. Modify the scoring formula to include a weight for `connection_count` and `recency_of_connection`. For example:", "code_change": "Replace this line: \n    score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2)\nWith this:\n    connection_weight = 0.1\n    score = (\n        significance * 0.45 +\n        recency * 0.35 +\n        recall_boost * 0.2 +\n        connection_count * connection_weight\n    )", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-26T12:08:11.458153
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior or state loss.", "suggestion": "Add logging and more robust error handling for json.load(f). Consider using json.loads() with a file read instead of try-except inside the context manager.", "phi_alignment": 0.85, "priority": "medium"}


