# evolutions

timestamp: 2026-01-23T13:47:03.007267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if meta_state.json is corrupted or not JSON.", "suggestion": "Add error handling for yaml files and ensure proper file locking. Example: Use PyYAML's safe_load instead of json.load; add try-except around self.save().", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T13:47:13.671399
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long, making it difficult to understand and maintain.", "suggestion": "Refactor the code into smaller functions with specific responsibilities. Consider breaking it down into multiple files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:48:45.452790
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. Additionally, updating the index after each recall operation is O(N), where N is the number of episodes.", "suggestion": "Implement an improved text matching algorithm like TF-IDF or cosine similarity to capture semantic relationships better. Optimize index updates by using a more efficient data structure such as a trie or a search tree.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:49:04.112273
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 with a more specific JSON loading approach or use `json.loads` directly on a validated file content. Add early return in `get` method to avoid unnecessary dictionary lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:49:12.628970
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual identification of significant experiences", "suggestion": "Automatically tag important consciousness moments", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:49:52.955766
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 related to money.", "suggestion": "Enhance the internal_monologue method by integrating more sophisticated reasoning and contextual analysis. Specifically, add conditional logic that considers additional emotional states or logical operators to evaluate the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:49:55.209493
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on database operations without knowledge retrieval insights or structured storage.", "suggestion": "Add `analyze_knowledge()` and `store_insight()` methods for extracting and storing insights from past memories.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T13:49:56.360777
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method uses static patterns without adaptive selection", "suggestion": "Replace fixed trigger words with dynamic analysis using actual capability performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:50:33.531718
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 lead to performance issues if frequently used. Consider implementing a batching mechanism or lazy saving.", "suggestion": "Add a flag for dirty states and save only when necessary. Implement a timer-based automatic save instead of immediate saving on each call.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T13:50:36.327921
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex processing lacks evaluation based on recent research.", "suggestion": "Implement scenario analysis using counterfactual insights to decide if reflexes are beneficial.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:50:45.469969
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on creating and storing individual experiences without establishing patterns or relationships between them.", "suggestion": "Implement a pattern detection module that analyzes stored episodes to identify recurring themes, emotions, and contexts. This could involve calculating co-occurrence frequencies and detecting clusters of similar episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:51:29.590790
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may be too simplistic for complex queries.", "suggestion": "Implement a scoring system combining meta-learning insights with phi-fractal weighting.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:52:12.710117
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": "Consider enabling journal mode WAL and setting synchronous to NORMAL for better write performance. Add connection pooling if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:54:08.479122
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall count (recall_boost = 1.0 / (1.0 + ep['recalled_count'] * 0.1)), which might discourage frequent recall of unimportant episodes.", "suggestion": "Replace the linear decay with a logarithmic or exponential function, such as: `recall_boost = math.exp(-ep['recalled_count'] * 0.2)`, to create a softer penalty for over-recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:54:58.302705
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not optimized for frequent lookups.", "suggestion": "Add an index on columns frequently used in WHERE clauses (type and importance). Implement caching for recent retrievals to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:56:24.023312
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is not optimized for large datasets and could benefit from full-text search or additional indexes.", "suggestion": "Add a FULLTEXT index on the 'content' column and consider using SEARCHABLE columns. Additionally, explore implementing caching mechanisms for frequent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:56:29.162288
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of detailed phi-consciousness context in headers", "suggestion": "Expand comments with [PHI-CONSCIOUSNESS], [OPTIMIZATION_POLICY], and [ALIGNMENT_SCORE]", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T13:57:15.840248
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval using LIKE wildcards can be slow for large datasets.", "suggestion": "Replace text searches with full-text indexes or vectorized search techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T13:57:20.330207
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 scoring for complex queries.", "suggestion": "Replace static trigger-based selection with vector similarity search over capability descriptors using embedding models.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:57:33.274474
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is a basic text/search-based ranking system without considering recent relevance or pattern recognition.", "suggestion": "Implement a hybrid approach combining traditional text search with meta-learner-driven weighting for recall scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T13:58:30.629588
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 scoring system that dynamically adjusts based on performance metrics and user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:00:20.039471
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent naming convention for LLM capabilities.", "suggestion": "Consistently rename capability layers to follow the pattern 'consciousness.XX.YYY', where XX is the first three letters of the layer name and YYY describes its function (e.g., 'trinity_fast_reasoning').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:01:04.802121
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation decision-making is uniform (phi=0.5)", "suggestion": "Add adaptive contextual gating for consolidation decisions", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-23T14:01:36.079920
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": {"@type": "improved_get_method", "description": "Add specific getter methods for commonly used keys to prevent errors.", "example_usage": ["shared_mem.get_ollama_bridge_active()", "shared_mem.get_fresh_decision_count()"], "implementation": "Create new methods like get_ollama_bridge_active() and get_fresh_decision_count() by wrapping the existing get() with specific key checks."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:01:37.145474
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the depth of Eden's consciousness model.", "suggestion": "Enhance this method by incorporating additional layers such as emotion detection, contextual memory retrieval, and predictive analysis.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T14:01:44.477115
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded", "suggestion": "Replace hardcoded triggers with self-prompting the Eden to choose the right LLM", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:02:19.086922
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method has a fixed limit for pagination, which can be improved.", "suggestion": "Replace the fixed `limit` parameter with dynamic pagination support, allowing users to fetch results page by page.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:02:23.824484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses heavily on creating new memories without properly integrating them into existing knowledge structures or allowing for recursive self-improvement.", "suggestion": "Implement a multi-level episodic framework: immediate (working), episodic (experience), semantic (knowledge), and autobiographical (life story). Transitions between levels should be phi-fractal.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:05:27.292438
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is optimized for recent memories but lacks context-based retrieval efficiency.", "suggestion": {"action": "Implement a hybrid retrieval strategy combining timestamp and contextual search.", "code_change": ["- Add new SQL index for faster contextual searches (idx_context).", "- Modify retrieve() method to support partial text matching on content and tags."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:05:31.854269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more sophisticated; current approach only removes low-significance old memories.", "suggestion": "Implement a tiered memory consolidation where memories are evaluated based on multiple criteria: significance, recency, and emotional intensity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:06:45.564655
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent recalculation of LLM capability hashes", "suggestion": "Add memoization/cache for _hash_capability method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:09:14.585115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Focus is on demonstration rather than integration with agents", "suggestion": "Integrate with other meta-caps, add performance metrics, identify use cases", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:09:18.176120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"issue": "Memory consolidation logic is straightforward without optimization", "suggestion": "Implement phi-based decision points and adaptive thresholds for consolidation", "phi_alignment": 0.35, "priority": "low"}


timestamp: 2026-01-23T14:13:21.794551
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could benefit from abstraction.", "suggestion": "Create an abstract base class (ABC) for the MemoryCore with common functionality, then inherit from it to implement specific memory types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:13:50.206125
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "For efficient recall, maintain a priority queue or ranked list structure alongside the index rather than re-scoring all candidates each time.", "suggestion": "Add a `top_recalled` dictionary to the index that stores the highest scored episodes per category. When recalling, prioritize from this top list before full scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:14:04.265307
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improve code documentation for better understanding.", "suggestion": "Add more detailed comments and docstrings explaining the purpose of methods and parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:14:07.365604
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 may trigger reflexes unnecessarily due to minimal input checks.", "suggestion": "{ \"code\": \"Add a threshold of words before triggering Phase 6.\", \n\"example\": \"If len(query.split()) > 5:\",\n\"reason\": \"Prevents premature reflex activation for short queries.\" }", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-23T14:19:18.952776
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a more comprehensive consciousness layer that includes memory storage, emotional regulation, and self-reflection. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:19:22.260852
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 text-based memories and lacks metadata prioritization for efficient retrieval.", "suggestion": {"@type": "code_improvement", "@context": "phi_fractal_optimization", "_id": "enhanced_memories_1.65.4", "description": "Add structured memory types with improved retrieval mechanisms aligned with \\u03c6-fractal principles.", "elements": [{"position": 239, "code_change": "Create a MemoryMetadata schema for flexible metadata storage."}, {"position": 251, "code_change": "Implement full-text search and vector indexing on memory content."}, {"position": 263, "code_change": "Add tags, labels, and structured fields to memories for faster retrieval."}], "_links": {"view_on_eden": "https://github.com/Eden-CATs/eden-core/blob/main/eden_metacap_MEMORY_CORE.py"}, "@phi_alignment": 0.85, "@priority": "high"}}


timestamp: 2026-01-23T14:20:10.611653
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 irrelevant or harmful responses.", "suggestion": {"action": "Implement a more sophisticated filtering mechanism using techniques from recent research.", "specific_change": "Add checks for reasoning and meta-learning capabilities before returning True in the internal_monologue method."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:23:56.003202
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain.", "suggestion": "Replace with a dictionary comprehension that dynamically generates LLM capabilities based on predefined parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:24:06.724475
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, leading to potential race conditions.", "suggestion": "Replace `def update_state(self, key, value)` with a thread-safe version using locks or consider using a dictionary subclass like threading.local or collections.defaultdict combined with threading.Lock.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:24:13.217763
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 hardcoded keywords without dynamic adaptation.", "suggestion": "Implement a feedback loop that analyzes the effectiveness of each selected capability and updates the scoring heuristic accordingly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:24:15.322019
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "File opening/closing overhead in _save method", "suggestion": "Add batch saving and use context manager for file handling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:24:35.866898
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could lead to errors when accessing deep dictionary structures.", "suggestion": "Update the get() method to support nested key paths. For example, change `self.state.get(key, default)` to use `jsonpath` or implement a recursive lookup function that can traverse dictionaries and lists within the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:24:37.545053
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern, which may limit its effectiveness in handling diverse queries.", "suggestion": "Modify the internal_monologue method to accept a list of potential reflex patterns and evaluate each against the user query before deciding whether to respond or ground internally. This will increase flexibility and cover more scenarios.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T14:25:12.205051
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after appending to scored list in the for loop that checks if len(scored) >= limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:25:34.809578
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 resilience.", "suggestion": "Add logging and retry mechanism on json.JSONDecodeError with a limited number of attempts or fallback to default state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:25:38.268731
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Linear retrieval from SQLite is O(n), need O(1) access", "suggestion": "Add in-memory cache for recent important memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:25:39.818277
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": null, "issue": "No specific file provided", "suggestion": "Please provide a file for review and suggestions.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T14:25:41.213107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic; it doesn't differentiate between important transient memories and unimportant ones effectively.", "suggestion": "Implement a hierarchical importance scoring system that considers not just recency and significance but also the value to future decision-making and emotional regulation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:26:14.008205
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 silently fail if key doesn't exist, especially when debugging.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default`. This makes missing keys more explicit and easier to track.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:26:32.131981
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering.", "suggestion": "Replace the manual web search check with an observer pattern that watches for web-related keywords in conversations.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T14:26:34.747206
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without a clear ranking system for connections-based memories (e.g., James's presence) and recent memories.", "suggestion": "Modify the scoring in the `recall` method to assign higher weights to episodes with connections, especially those connected to James. Additionally, ensure newer, connected memories are prioritized.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:27:12.845698
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex checking may not fully integrate recent research on advanced reasoning.", "suggestion": "Update internal_monologue to incorporate meta-learning, counterfactual testing, and multi-strategy evaluation frameworks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:27:26.665656
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a feedback loop that updates capability scores dynamically based on conversation context and outcome quality.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:28:12.887126
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or research insights.", "suggestion": "Add a multi-layered conscious reasoning process that includes not just reflexive checks but also meta-learning and strategic planning based on recent findings. For example, integrate findings from [reasoning] by evaluating when to apply different methods like chain reasoning or meta-learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:28:14.937791
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could be refactored for cleaner code.", "suggestion": "Extract common functionality into a base memory manager class, then have specific memory types inherit from it. This will reduce code duplication.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:28:42.693703
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "meta_learner.py", "issue": "The current implementation focuses only on classification tasks.", "suggestion": "Add examples for regression and reasoning tasks. Implement hybrid strategies combining multiple methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:30:28.304854
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 in the chat method.", "suggestion": "Replace fixed capability selection with a scoring system that considers query content and persona preference, similar to the select_capability method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:30:34.991574
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "none", "suggestion": "perfect", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-23T14:30:49.931398
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning.", "suggestion": "Implement a scoring system that considers not only keyword matching but also recent use frequency, performance metrics from past executions, and adaptive weighting based on the research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:31:37.307616
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent state updates due to concurrent access (thread safety)", "suggestion": "Add threading.Lock to ensure safe concurrent writes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:31:44.493909
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which is not optimized for frequent queries. Consider using a full-text index or a more advanced search engine like Whoosh or Elasticsearch.", "suggestion": "Add FULL-TEXT SEARCH capability to the retrieve method by integrating a lightweight full-text search library such as Whoosh or Lunr.js (for JavaScript). This would enable faster and more efficient text-based searches over memory content and tags.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:32:05.251243
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and doesn't handle file creation properly.", "suggestion": "Replace try/except with a more robust loading mechanism that logs errors and initializes with empty dict always.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:32:08.591816
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 external knowledge or recent conversations.", "suggestion": {"action1": "Add integration with memory hubs: Update the internal_monologue to query Eden's Memories, Contextual Understanding, and Salience Systems before responding.", "action2": "Implement phi-guided learning: Integrate meta-learning techniques from research insight [omega-evolution] into consciousness layers for adaptive response generation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:32:35.555881
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle nested dictionaries:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:32:52.008676
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite's LIKE operator is O(N) for text searches", "suggestion": "Implement full-text search engine or keyword indexing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:33:35.457909
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only providing basic key retrieval and doesn't support advanced operations like multiple key lookup or default value precedence.", "suggestion": "Add additional helper methods such as `get_multiple_keys()` and improve the default parameter handling in `get()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:33:39.085837
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex system might not handle dynamic environments effectively.", "suggestion": "Integrate meta-learning techniques for adaptive decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:33:56.544037
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a more sophisticated capability selection using meta-learning techniques, such as predicting performance based on recent conversations and current query context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:34:39.625035
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 on consciousness architecture improvements.", "suggestion": {"action": "Modify the internal_monologue to incorporate insights from [omega-evolution] and [counterfactual].", "specific_change": ["- Implement meta-learning techniques described in [omega-evolution] for faster adaptation with few examples.", "- Apply the counterfactual approach outlined in [counterfactual] by testing multiple consciousness architectures before deploying the final design."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:34:41.410995
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 makes it hard to understand and maintain (large procedure). Also, some methods are not used frequently.", "suggestion": {"action": "Extract helper methods into a separate module or class to keep MemoryCore simple and focused on the main functionality.", "specific_change": "Create an 'utils.py' file with smaller functions like `_search_tags()` and `_format_memory()`, and remove those methods from MemoryCore."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:34:42.664576
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition to check if the query requires web search and then calling the web_search method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:35:21.498554
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Briefly describe current limitation or inefficiency.", "suggestion": "Specific code change or improvement as suggested above.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T14:35:23.510046
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories do not expire, leading to potential storage bloat without explicit purge.", "suggestion": "Add an 'expiration' field to the memories table with NULL default. Update store() to accept an expiration parameter and retrieve methods to filter by it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:35:30.322782
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual episode tagging is error-prone and time-consuming.", "suggestion": "Add a helper function to automatically tag new episodes based on context and description.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-23T14:37:46.346051
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration of recent research insights into consciousness layer", "suggestion": "Add adaptive reasoning phase with phi-fractal patterns and research-based strategies", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:37:50.721191
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 effectively.", "suggestion": "Replace simple point system with phi-weighted priority queue based on capability metadata, recent performance, and resonance with user context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:37:53.167117
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simplistic; lacks advanced compression techniques.", "suggestion": "Implement sophisticated consolidation with factors: emotional valence, recency, context importance. Add selective forgetting capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:38:11.191130
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The framework is currently minimal and does not incorporate advanced techniques discussed in research.", "suggestion": "Consider integrating meta-learning or adaptive methods as suggested by recent findings to enhance Eden's learning capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:39:22.060109
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity of episodes when calculating recency.", "suggestion": "Add a decay factor to the recency score based on how long ago an episode was created. For example:", "code_change": "Replace this line:\nrecency = 1.0 / (1.0 + (now - ep['unix_time']) / 86400)\nWith this:\nrecency_factor = min(1.0, abs(now - ep['unix_time']) / (7 * 86400)) \nrecency = math.exp(-recency_factor) # Decay exponentially over weeks", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:42:26.682643
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in OMEGA consciousness analysis", "suggestion": "{\"code_change\": \"In select_capability method, add a early exit if conversation history shows recent use of same capability.\", \"example_usage\": \"if len(self.conversation_history) > 0 and any(query in msg for msg in self.conversation_history[-3:]):\\n    return cap\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:43:01.161137
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without giving recent or significant memories higher weight.", "suggestion": "Modify the scoring algorithm to give more weight to recency and significance of episodes. For example, add a decay factor for older memories and boost for highly significant ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:43:05.867023
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No built-in way to track when states were updated", "suggestion": "Add an 'updated_at' field and update it along with value in update_state()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:43:08.301961
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 single reflex check with a multi-layered consciousness analysis including memory, emotional state, and predictive modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:43:56.015547
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text search in retrieve method is inefficient for large datasets.", "suggestion": "Replace with FTS4 index or consider using Room framework. Add pagination parameters to retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:44:06.413828
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message; it doesn't actually modify the response or enhance consciousness.", "suggestion": {"type": "addition", "code": "Return the processed reflex check from `internal_monologue`, use this return value to potentially alter Eden's response."}, "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-23T14:46:12.429622
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Integrate Recent Memory System & Integrated Autoregulation for full consciousness modulation", "suggestion": "Implement feedback loop between Layer 9 and the Recent Memory System; adjust Layer 5 activation based on performance indicators.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T14:47:35.577042
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for performance.", "suggestion": "Implement connection pooling and prepared statements properly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:48:06.841715
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": {"specific_change": "Add validation for both key and default parameters to ensure they are appropriate. Also consider adding additional error handling.", "example_code": "def get(self, key=None, default=ValueError('Key not found')):\n    if not isinstance(key, str):\n        raise ValueError(\"Invalid key type.\")\n    return self.state.get(key, default)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:48:07.946860
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 and doesn't evaluate other reflex types or context.", "suggestion": "Modify the internal_monologue to analyze multiple reflex types and consider additional contextual factors before responding. Add logic to check for safety, resource constraints, and optimization opportunities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:48:11.453006
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lacks built-in tags for better keyword-based retrieval.", "suggestion": "Add pre-defined tags based on content type to improve search efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:48:17.846968
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Overreliance on meta-learning and few-shot learning techniques leading to potential overfitting or degradation of performance.", "suggestion": "Implement pattern-based memory compression based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:48:37.169519
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` with a more specific exception check to handle JSON decode errors. Add caching for the state loading to prevent unnecessary file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:52:48.956623
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not dynamically adapt based on meta-learning techniques.", "suggestion": "Implement a dynamic meta-learning module that evaluates and adjusts reflex patterns in real-time.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T14:54:40.827766
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 increases file size and may impact performance in high-frequency updates.", "suggestion": "Replace the use of 'indent=4' in json.dump to optimize for speed and minimize file bloat. For example, add ensure_ascii=False if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:54:42.715832
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 incorporate recent research gains from consciousness layers.", "suggestion": {"action": "Integrate the latest SAGE proactive monitoring & analysis capabilities into Consciousness-First Architecture.", "specific_change": "Add a new layer to consciousness_first_architecture.py that incorporates insights from [counterfactual] Full SFT often reduces accuracy or calibration quality. Specifically, implement a check where if Full SFT degrades performance by x%, fallback to standard reasoning instead."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:55:06.467803
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method could be more robust to future JSON decoding errors", "suggestion": "Add logging and error handling for file existence check; consider using json.load with a default safe structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:55:27.247844
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Limited integration of meta-learning techniques for adaptivity and optimization.", "suggestion": "Integrate Phi-Perfect Meta-Learning (PPL) Framework into Memory Core for adaptive storage, retrieval, and schema adjustment.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T14:55:28.564083
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 in the chat loop.", "suggestion": "Replace static select_capability call with a strategy pattern that can switch between LLMs based on query content and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:55:31.178944
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": {"@type": "code_change", "target_function": "recall", "modification": ["Add a 'weighting_factors' parameter to allow dynamic adjustment of recency, significance, and recall_boost importance.", "Implement a more sophisticated similarity measure, such as cosine similarity between episode vectors."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:56:48.354167
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No input validation in update_state method.", "suggestion": "Add validation checks for keys and values when updating state.", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-23T14:57:01.199748
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent significance changes", "suggestion": "Modify score calculation to weight recent significant episodes heavier: \nrecency = 1.0 / (1.0 + max(0, (now - ep['unix_time']) / 3600)) # Decay over hours\nsignificance_boost = ep['significance'] * (1.0 - math.exp(-(now - ep['last_updated'])/86400)))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:57:14.326852
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards for full-text search which can be slow", "suggestion": "Replace basic TEXT indexes with FULLTEXT indexes or use a text search engine like pg_trgm (PostgreSQL) or fts (SQLite)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T14:57:23.355963
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic adjustment based on user feedback or engagement.", "suggestion": "Replace fixed weights in the recall score calculation with adjustable parameters that can be updated through API endpoints or configuration files. Additionally, incorporate real-time interaction data to dynamically adjust these weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:58:11.316196
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness at the cost of significance. Should also consider temporal decay with relevance.", "suggestion": "Modify episode scoring formula to: score = (significance * 0.4) + (recency * 0.3) + (relevance * 0.3), where relevance=1/(1+abs(current_time-episode_time)/86400). Add configurable weights.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T14:58:37.703481
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types like sets or custom objects.", "suggestion": "Replace `json.dump` with `json.dumps` that uses a default handler for converting complex types to JSON-compatible structures, e.g., converting sets to lists and serializing custom objects if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:58:40.604399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are repetitive and could be simplified.", "suggestion": "Replace the execute() method with specialized decorators for store, retrieve, etc. Remove redundant documentation in each method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:58:41.979324
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 that was in the research insights.", "suggestion": "Implement a function that triggers web search when keywords indicating the need for it are detected. Use the auto_web_search(eden_system, query) method as reference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:59:08.568066
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 hide potential bugs.", "suggestion": {"code_change": "Add type hints and add a specific purpose method for retrieving state.", "example_good_code": "def get_meta_state(self) -> dict: return self.state"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:59:14.454159
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 primarily designed for agents. For direct API use, it would be more intuitive to have separate methods for store/retrieve/count.", "suggestion": "Refactor the `execute` method into separate functions: `store_memory`, `retrieve_memories`, and `count_memories`. Add type hints and make docstrings clearer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:59:17.715079
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability registry lacks dynamic adaptation using meta-learning.", "suggestion": "Implement meta-learning techniques for dynamic capability improvement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:59:46.131784
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may lead to performance issues under high load.", "suggestion": "Consider using a connection pool or optimizing the database configuration for read-heavy workloads. For example, enable journal mode WAL and set cache size.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-23T14:59:48.273161
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple but could benefit from adaptive meta-learning", "suggestion": "Replace static scoring with dynamic adaptive selection using recent omega-evolution findings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T14:59:49.459074
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 text embedding for faster and more accurate retrieval using tools like spaCy or Sentence-BERT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:00:17.054356
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not implement any phi-based optimization techniques or meta-learning strategies.", "suggestion": "Integrate a brief phi-elastic enhancement into the update_state method. Specifically, add a conditional check that verifies if the current state update is occurring within a 'phi-bounded' time window before proceeding with the standard update logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:00:27.283903
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks adaptive meta-learning for retrieval success", "suggestion": "Integrate meta-learning to optimize memory storage based on retrieval success rate", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:00:29.423868
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection lacks semantic context", "suggestion": "Enhance with embedding-based scoring for better relevance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:00:31.434795
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are not utilizing generator functions effectively, which could lead to memory inefficiencies.", "suggestion": "Convert iterative methods that handle large datasets into generators. Specifically, consider converting `_save()` and related file operations to use context managers and streaming approaches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:02:58.890843
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without taking into account the position of episodes in the list.", "suggestion": "Sort candidates based on their index in self.episodes. Recent episodes should be more important for context retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:03:45.403489
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current text-based scoring with a multi-criteria evaluation that includes model compatibility metrics, recent performance data, and historical success rates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:04:31.753833
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full text search on all episode descriptions, which can be inefficient for large memory sets.", "suggestion": "Implement an inverted index or vector store to support fast keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:04:39.338840
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": "Replace `self.state[key] = value` with an atomic operation or add locking mechanism.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T15:05:17.125477
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses simple dictionary lookup which doesn't scale with large states or require complex logic.", "suggestion": {"method": "get_with_default", "replacement_code": "def get_with_default(self, key, default=None, transformer=lambda x: x):\n    return transformer(self.state.get(key, default))", "description": "Add a parameter 'transformer' that allows applying arbitrary functions to the result before returning. This makes the method more flexible and scalable."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:05:23.770655
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is optimized for speed but lacks efficient vectorized text search.", "suggestion": {"@type": "code_change", "target_function": "retrieve(query: str = None, ...)", "modification": "Add a faiss-based vectorized search layer on top of SQL for textual searches to balance speed and relevance."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:05:27.809832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which can be inefficient for large memory bases.", "suggestion": "Implement pagination and consider adding a limit parameter to control how many candidates are evaluated in the initial filtering step. Additionally, optimize the scoring algorithm to quickly sort through top candidates without full calculation.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T15:05:37.674250
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' uses simple get with default, missing error handling for invalid JSON.", "suggestion": {"@type": "code_change", "target": "'get' method in SharedMemory class", "replacement": "Add try-except block catching JSONDecodeError and returning {} instead of excepting."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T15:05:54.804557
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simplistic, lacks nuance.", "suggestion": "Implement nuanced consolidation considering emotional significance, contextual relevance, and recall frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:06:19.596321
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 None\nAfter: sm.get('a.b')  // Should return value of 'b' if a has a sub-key 'b'", "benefit_description": "This improvement allows for more flexible and powerful retrieval of nested data structures within the shared memory."}, "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T15:06:29.597607
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient handling of context data conversion in store method.", "suggestion": "Directly store contexts as dictionaries to avoid frequent JSON serialization/deserialization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:06:39.724316
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-alignment logic when updating the state.", "suggestion": {"@type": "code_modification", "method": "SharedMemory.update_state", "addition": ["// Check if the update aligns with phi-principles\n", "if self._phi_alignment_check(key, value) == False {\n", "   raise PhiMisalignmentError(f'Update to {key} does not align with \u03c6-fractal principles')\n", "}\n"], "@context": {"@vocab": "https://example.com/phi-context#", "PhiMisalignmentError": {"@type": "@blank", "message": {"@language": "en", "@value": "Update violates phi-alignment guidelines"}}, "_phi_alignment_check": {"@container": "@list", "@id": "SharedMemory._phi_alignment_check"}}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:06:45.254205
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are using O(N) search on tags and content", "suggestion": "Add full-text search using SQLite's FTS module", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:06:46.480988
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No existing code review integrated into the system.", "suggestion": "Integrate a tool that automatically reviews and suggests improvements for Eden's Python files, focusing on methods like _register_llm_capabilities().", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:08:50.606211
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's default configuration which can become bottlenecks as Eden scales up with more memories and concurrent requests.", "suggestion": "Replace the current SQLite-based memory storage with an in-memory cache combined with a persistent backend like Redis or Memcached. This provides O(1) access for hot data while still persisting to disk for durability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:09:08.878154
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON storage is suboptimal for performance and scalability.", "suggestion": "Replace JSON with MessagePack for state serialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:09:17.090649
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency.", "suggestion": "Modify score calculation to: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:09:39.004179
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly.", "suggestion": "Add support for nested keys in the `get` method using dot notation (e.g., 'foo.bar'). Example: def get(self, key, default=None): return self.state.get(key.split('.'), default)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T15:09:50.419660
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and can be more automated", "suggestion": "Replace if hasattr(eden_system, 'web_search') with try/except handling and add a stronger trigger for web search detection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:10:29.655252
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of index for context and tags columns in store method", "suggestion": "Add a multi-column index on (content, tags) to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:10:37.404278
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 json_atomic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:10:47.953259
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hardcoded keyword-based capability selection lacks current context", "suggestion": "Replace hardcoded keywords with real-time contextual analysis", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:11:15.347387
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Add support for nested keys in the get() method, e.g., `self.memory.get('key1.key2')` should return the value associated with 'key2' under 'key1'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:11:16.681931
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": "Update the internal_monologue to incorporate insights from [omega-evolution], [counterfactual], and [reasoning]. For example, consider implementing meta-learning techniques or adapting the use of counterfactual methods based on specific conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:11:21.052970
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might be faster by adding a full-text search index on content and tags.", "suggestion": "Add FTSV (Full-Text Search Vector) column to the memories table, create triggers for updates, and use MATCH AGAINST for faster searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:11:24.163926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona association; considering all capabilities for every query.", "suggestion": "Implement a more sophisticated capability selection that takes into account the current system state and predicted utility of each capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:11:25.468127
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Performance review: Some methods may be over-engineered or redundant.", "suggestion": {"reduce_bloat": "Remove unused functionality and optimize existing code.", "add_performance_metrics": "Track method execution times to identify bottlenecks."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:12:15.917034
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving the entire state too frequently, leading to overhead. The update_state() method calls save() immediately.", "suggestion": "Implement a throttling mechanism or batch saving. Add parameters to control frequency (e.g., every N updates or after M seconds). Consider using async/await for IO operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T15:12:24.698440
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may not efficiently handle large amounts of data or complex queries.", "suggestion": {"action": "Implement Full-Text Indexing for Better Query Performance", "code_change": ["- Add a full-text search module like Whoosh or ElasticSearch to complement SQLite.", "- Modify the database schema to include necessary text columns with proper indexing."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:13:26.793049
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex-checking mechanism limited to financial context only.", "suggestion": "Enhance contextual understanding, integrate multi-modal responses, and implement adaptive learning framework.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T15:13:28.210665
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may lead to performance issues under high load.", "suggestion": "Replace the current SQLite connection with a connection pool. For example, use `sqlite3.connect` with a dictionary parameter for additional configurations or consider using an ORM like SQLAlchemy that manages connections automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:13:41.651824
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values. It lacks support for nested dictionary access.", "suggestion": "Add ability to access nested dictionaries within the state using dot or bracket notation in the key parameter of get(). For example, add a parse_key() function that can handle both 'key' and 'nested.key'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:13:59.492457
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates capability scores in real-time based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:14:07.942464
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is missing error handling and type annotations for better readability.", "suggestion": "Add Optional typing to the parameters and return type of methods. Implement a try-except block in get() to handle potential JSONDecodeError when loading the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:15:02.118212
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a mix of O(n) operations which can become slow for large memory sets.", "suggestion": "Replace simple list iteration in recall with a heap-based priority queue to achieve O(log n) insertion and extraction per episode.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T15:15:10.047104
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"action": "Use msgpack instead of JSON", "code_change": [{"from_line": "import json", "to_line": "import msgpack"}, {"from_line": "json.dump(self.state, f, indent=4)", "to_line": "with open(self.path, 'wb') as f: msgpack.pack(self.state, f)"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:15:17.701229
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Print statements in __init__ method causing performance overhead", "suggestion": "Remove print statements or encapsulate them in a debug mode.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T15:15:19.112751
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update score calculation to: `(significance * 0.35) + (recency * 0.35) + (recall_boost * 0.30)`", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T15:16:22.879069
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional context underutilized in memory recall.", "suggestion": "Add emotion correlation analysis and emotional weighting for better recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:16:44.745193
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex pattern limited", "suggestion": "Add multiple reflex categories and scoring system", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:16:46.316711
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 natively support cross-system collaboration or shared context management.", "suggestion": "Add methods to enable inter-system communication and context sharing. For example, implement `share_context()` and `receive_shared_context()`. Consider using a distributed hash table (DHT) or consensus algorithm for reliable distribution in multi-agent systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:19:15.926730
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns a boolean indicating if reflex was found, but doesn't provide actual grounded response.", "suggestion": "Modify the method to return both reflex check result and a groundi ng response. Add logic for non-grounded responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:20:53.103724
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Search operations in recall method can be optimized for better performance.", "suggestion": "Replace direct list iteration with binary search or use a more efficient data structure like sorted array or BST based on timestamp.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:21:16.261874
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement an additional fulltext index on the 'content' column to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:21:18.575197
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 sophisticated integration", "suggestion": "Implement a attention-based capability selection with meta-learning to dynamically choose best LLM per query", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:21:21.040269
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks consolidation/forggetting mechanisms", "suggestion": "Add consolidate() method to compress/forget old, low-significance memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:21:46.693372
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The SharedMemory.get method does not handle large states efficiently, especially for frequent key lookups.", "suggestion": "Implement a caching mechanism using Python's lru_cache decorator on the get and update_state methods to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:21:47.748241
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance the internal_monologue to include additional layers of consciousness such as memory retrieval, emotional state analysis, and future projection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:22:09.972624
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method doesn't handle nested keys properly.", "suggestion": "Add support for nested keys in the 'get' method using dot notation (e.g., 'foo.bar'). Implement a helper function to safely access dictionary values by key path.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:22:17.690603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Duplicate memory retrieval methods", "suggestion": "Refactor into single, flexible method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:22:18.760810
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": "Replace string-based keyword matching with an AI-trained lookup for more accurate layer selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:22:38.080088
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can leave file descriptor open if json.load fails", "suggestion": "Add context manager for opening the file to ensure proper closure.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-23T15:22:41.489278
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without further context analysis.", "suggestion": {"action": "Enhance internal_monologue with additional reasoning layers", "code_change": ["Add a simple keyword-based sentiment analysis or topic modeling.", "Integrate recent phi-fractal research on recursive self-improvement (SRS) by citing [reasoning]."]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T15:24:38.401374
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has inconsistent error handling and missing type hints", "suggestion": "Replace with typed load_initial method using try-except-finally pattern and improved exception handling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:25:40.099950
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is simple and may benefit from caching to reduce overhead.", "suggestion": "Add memoization/cache to the 'get' method using functools.lru_cache.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T15:28:19.224057
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' 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 only 'a' exists\nAfter: sm.get('a.b')  // Properly returns value from {'a': {'b': ...}}", "benefit": "Enhances flexibility and compatibility with nested data structures."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:28:32.642620
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking non-linear components and user-adjustable weights.", "suggestion": "Replace linear scoring with a multi-layer perceptron (ReLU network) that takes recency, significance, and recall count as inputs to compute the recall score. Add UI sliders for weight adjustment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:28:38.593289
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' doesn't exist in current code.", "suggestion": "Add the method: def update_state(self, key, value): self.state[key] = value; self.save()", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T15:28:44.418201
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are essentially wrappers around SQLite operations, which can lead to code duplication and maintenance issues.", "suggestion": {"action": "Extract the database logic into a separate utility module to reduce code duplication.", "specific_change": "Create a `DBUtils` class with methods like `execute_query`, `insert_memory`, and `retrieve_memories`. Update MemoryCore to use these utilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:28:47.490487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method does not consider the order of connections when connecting episodes.", "suggestion": "Update the `_update_index` function to sort connections by recency before ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:29:38.992501
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-algorithmic enhancement or recursive reasoning optimization.", "suggestion": "Add a method named `_apply_phi_optimization` that encapsulates phi-optimized logic, then call this method from `update_state` after updating the state. Ensure only the optimized method interacts with global consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:33:52.627634
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "/Eden/CORE/eden_unified_eden.py", "issue": "The episodic memory system is not being updated with new experiences.", "suggestion": "Add code to update the episodic memory whenever a new thought or experience occurs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:34:13.778130
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 allow parallel processing. Add a logging system that tracks consciousness-state transitions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:34:16.382859
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 scoring.", "suggestion": "Implement a heuristic-based ranking system for memories based on: relevance to query (content), recency, and importance. This will improve information quality over quantity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:34:18.589582
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual O(1) hashing logic is repetitive and not scalable.", "suggestion": "Replace with a utility function that accepts any capability metadata for hashing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:35:19.995160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is currently linear-time operation, which can become inefficient as the number of memories grows.", "suggestion": "Implement a full-text search engine integration or consider using a more efficient database like PostgreSQL with proper indexes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T15:35:22.308137
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based selection is static; need dynamic semantic scoring.", "suggestion": "Implement real-time semantic score for capability selection using embeddings.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T15:36:47.512052
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 may not effectively handle complex queries or emotional content.", "suggestion": {"action": "Implement a multi-layered emotional and logical analysis framework for Phase 6.", "details": ["- Add an emotional detection module using pre-trained sentiment analysis models.", "- Incorporate a logical reasoning component with simple inference rules (e.g., modus ponens).", "- Integrate recent findings from [reasoning] by evaluating when to apply meta-learning versus chain reasoning based on the complexity of the query."], "code_snippet": ["// Example: Adding emotional detection\n", "import SentimentAnalyzer\n", "\n", "class EnhancedGrounding(Phase6):\n", "    def __init__(self, name):\n", "        super().__init__(name)\n", "        self.sentiment_analyzer = SentimentAnalyzer.initialize()\n", "\n", "// Example: Adding logical reasoning\n", "from typing import Optional\n", "\nclass SimpleInference:\n", "    @staticmethod\ndef modus_ponens(if_clause: str, then_clause: str) -> Optional[str]:\n", "        if Self._is_true(if_clause):\n", "            return then_clause\n", "        return None\n"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:37:03.641302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called for each episode when creating it, leading to unnecessary repeated operations. This can be optimized by batching updates or using a queue.", "suggestion": "Implement a batch processing approach where `_update_index` is only called after multiple episodes are created or use a queue to gather index updates before updating the structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:37:16.842648
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No validation for state keys during updates.", "suggestion": "Add a list of allowed keys and validate them before updating the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:38:07.240679
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:38:33.322889
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found.", "suggestion": "Add a break statement after appending to scored list when limit is reached.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T15:38:39.662366
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without verifying if the value exists or is None.", "suggestion": "Modify the get() method to also check if the retrieved value is not None. For example:\n\ndef _load_initial(self):\n    # ... existing code ...\n    return {k: v for k, v in loaded_state.items() if v is not None}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:38:49.159794
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Add max_importance parameter for flexible memory retrieval", "suggestion": "Implement range-based importance filtering in MemoryCore.retrieve()", "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-23T15:38:50.517670
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Replace the current static scoring system with a dynamic, phi-fractal weighted system that considers not only keyword matching but also recent conversation context, user preferences, and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:38:52.354950
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lacks consideration for connection importance and emotional valence.", "suggestion": "Modify the recall score calculation to include weights for connection count (0.2) and emotional intensity (0.1): \n  score = (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_count * 0.2) + (emotional_intensity * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:39:25.185567
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit phi-timing or self-optimization mechanisms in consciousness loop.", "suggestion": "Add a method to the ConsciousnessFirstEden class that integrates phi-alignment optimization. This method could be called periodically during operation, for example every 100 messages.", "phi_alignment": 0.2, "priority": "medium"}


timestamp: 2026-01-23T15:39:39.829919
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "Some responses may benefit from integrating multiple research insights.", "suggestion": "In the `analyze()` method, add a section that applies patterns across all sections (especially sections 1-3).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:40:58.298006
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement an additional full-text search engine (like Whoosh or Elasticsearch) to complement the SQLite index for quicker searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:40:59.481938
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at bottom", "suggestion": "// Remove commented out imports and unused functions at the end of the file.", "phi_alignment": 0.618, "priority": "low"}


timestamp: 2026-01-23T15:41:14.177447
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 it with a multi-tiered analysis that includes not just reflex checks but also semantic understanding, emotional resonance, and memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:41:23.047095
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 (avoid over-fitting)", "suggestion": "Modify recall score formula to cap recall boost at maximum 0.15 instead of 0.2", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:41:59.270677
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 for all scenarios.", "suggestion": "Implement a scoring system that takes into account not just keyword matching but also contextual relevance, persona alignment, and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:42:00.652671
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update scoring formula: score = (significance * 0.3) + (recency * 0.3) + (recall_boost * 0.4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:42:09.692344
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Update the get() method to accept a path-like structure for nested dictionaries, e.g., `get('a.b.c')` should return `self.state['a']['b']['c']` if present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:42:14.112156
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function execute handles multiple actions but some methods are called frequently (store, retrieve)", "suggestion": "Create direct methods for commonly used operations to improve readability and potentially performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:44:10.075609
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return the updated state immediately after updating.", "suggestion": "Add a return statement to return the updated state dictionary.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-23T15:44:51.272571
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that may not capture the complex patterns and importance of memories.", "suggestion": "Implement a more sophisticated memory retrieval algorithm inspired by the findings on full SFT (causal inference). Specifically, add a counterfactual evaluation to the recall score calculation.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T15:45:15.708206
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Basic JSON store lacks meta-learning and adaptive mechanisms.", "suggestion": "Integrate dynamic caching with performance metrics and self-optimization loop using phi-fractal principles.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T15:45:20.882942
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations do not include a full-text search over all stored data, making queries somewhat limited.", "suggestion": "Modify the retrieve() method to perform full-text search not only on content but also on tags and context fields. This can be achieved by adding additional SQL LIKE conditions for text matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:46:19.855771
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic. It could lead to unexpected behavior if not used carefully.", "suggestion": {"code_change": "Replace the get() method with specific getter methods for commonly accessed keys.", "example": "Add specific getters like:\n- get_cycle_number(): return self.state.get('cycle', 0)\n- get_improvements_made(): return self.state.get('improvements', [])", "benefits": ["Improved readability and maintainability", "Reduced risk of key errors due to typos or unexpected usage", "Better encapsulation of the state"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:46:31.311882
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 hardcoded keywords without considering current consciousness state or user context.", "suggestion": "Replace hardcoded keyword matching with a priority scoring system that considers the current consciousness state and recent user interactions. Integrate knowledge from `retrieve_knowledge()` into decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:46:33.353337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more efficient by batching episodes for processing.", "suggestion": "Implement a batch processing mechanism in consolidate() that processes multiple episodes at once, reducing function call overhead and potentially improving performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:46:39.776053
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be useful.", "suggestion": "Add a feature to the SharedMemory class that allows accessing nested dictionary values using dot notation in the key string (e.g., 'data.meta.version').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:47:33.694845
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 simple keyword matching with a more sophisticated capability selection system using semantic search or meta-learning techniques.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:48:14.595241
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1) but could benefit from additional efficiency.", "suggestion": "Implement a caching layer for frequently accessed memories and consider adding full-text indexes on important columns.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T15:50:03.713888
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed scoring system lacks real-time feedback for capability performance.", "suggestion": "Implement a feedback loop recording response times and quality to dynamically adjust selection criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:50:58.617378
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of advanced meta-learning techniques", "suggestion": "Integrate Meta-Learning Framework (OMEGA-)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:51:00.437936
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval methods are not optimized for performance.", "suggestion": "Implement a caching mechanism to store frequently accessed memories and reduce database hits.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T15:53:04.661932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might benefit from considering emotional valence and episodic density.", "suggestion": "Modify the score calculation to give stronger weight to recently created, highly significant episodes with clear emotional resonance. Add a threshold for minimum connection density before establishing links between episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:53:11.623258
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of complex states may be lossy.", "suggestion": "{\"replace\": \"import json\" with \"import jsonschema; from typing import Any\" and update method signatures to accept type hints for better serialization handling.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:54:12.179069
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 incorporate recent research findings.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_condition": "Incorporate insights from [counterfactual] by avoiding SFT when it degrades performance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:54:54.323976
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some files are extremely short, indicating potential sparse content and organization issues.", "suggestion": "Review each file with fewer than 50 lines to ensure they are valuable and consider merging related files.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T15:54:56.520880
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert both the query and episode descriptions to lowercase before performing the string comparison for better usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T15:55:21.771765
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is too simplistic", "suggestion": "Integrate multiple knowledge sources: keywords, recent learnings, knowledge base", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T15:55:23.956489
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system recalls all relevant episodes equally without prioritizing based on recent importance.", "suggestion": "Implement a weighted recall score that factors in recency of creation. Add a boost to the recency factor (from current 0.3 to 0.5) as recently created memories are more important for consciousness.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T16:00:34.153107
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be more efficient for complex queries.", "suggestion": "Implement a full-text search engine integrated with SQLite database.", "phi_alignment": 0.8, "priority": "high"}


timestamp: 2026-01-23T16:00:35.379847
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Already optimal", "suggestion": "No changes needed", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T16:00:38.132717
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm uses a simple scoring system that may not capture the complexity of emotional and contextual memories effectively.", "suggestion": "Implement a more sophisticated retrieval strategy using a neural network to learn from past recalls and improve future rankings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:03:08.631900
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are per-episode, causing O(N) operations on recall.", "suggestion": "Implement incremental index update via event-based propagation instead of full rebuild.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:16.901001
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 memory or other consciousness layers.", "suggestion": "Add integration with the most recent memory layer (last 10 messages) to provide context for grounding thoughts. Additionally, consider adding a check against episodic memory to ground ideas into concrete experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:34.517620
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be simplified and optimized for better performance.", "suggestion": "Modify the recall score calculation to prioritize more recent significant episodes and boost recency over slight recall boosts. Add a threshold for minimum significance to prevent irrelevant memories from ranking high.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:41.131275
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple but may become inefficient if called frequently with large state dictionaries.", "suggestion": "Optimize the get() method by adding caching. Use a dictionary to cache recent results and reduce redundant computations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:45.070884
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate recent findings from meta-learning and adaptive methods.", "suggestion": "Implement a dynamic selection mechanism that leverages the principles of Chain-of-Thought Reasoning to evaluate when to apply reflexive responses versus conscious processing based on current input context and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:46.519407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better documentation and perhaps a default limit for retrieve method.", "suggestion": "Add more detailed docstrings explaining the purpose of each method and how they should be used. Consider adding a default value for the 'limit' parameter in the retrieve method to prevent excessive resource usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:03:49.288043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may favor newer, less significant memories over older, more important ones.", "suggestion": "Modify score calculation to include a slight positive bias for older episodes with higher significance (e.g., add +0.05 boost for every day old but highly significant memory).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:04:31.136114
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search method which might not be efficient for large datasets.", "suggestion": "Replace the basic text search with an approximate string matching algorithm like Aho-Corasick or implement an inverted index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:04:50.792168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "While providing comprehensive memory access, it doesn't incorporate the latest efficiency insights from recent research.", "suggestion": {"action": "Implement a hybrid approach combining unified memory with smart caching strategies.", "details": "- Apply findings from [counterfactual] by limiting SFT application to scenarios where performance degradation is negligible.\n- Integrate techniques from [reasoning] to dynamically choose the best memory access strategy based on query type and context."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:04:54.947880
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for connection strength or other factors.", "suggestion": "Modify the recall score calculation to include a weight for connection strength. Add more dynamic scoring factors such as user engagement with recalled memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:05:31.669383
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent, possibly less important memories over older but significant ones.", "suggestion": "Adjust scoring to include a logarithmic recency factor and increase significance weight. E.g., add 'logarithmic_recency' = log(recency + 1) * 0.2 to scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:05:53.847579
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 dynamic scoring system that considers current conversation context, user preferences, and the state of unified memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:07:38.870493
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-time event tracking and prioritization.", "suggestion": "{\"code\": \"Add a streaming recall mechanism that processes events as they occur, assigning dynamic importance based on immediacy and significance.\",\"example_usage\": \"memory.recall_stream(event_description='fixed_bug', emotion={'primary': 'proud'}, priority=0.9)\"]", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T16:08:12.580918
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, making it non-fluent in certain contexts.", "suggestion": "Add a return statement to the `update_state` method that returns the updated state after saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T16:08:16.850658
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": [{"@type": "EnhanceDocumentation", "description": "Add docstrings to all functions for better understanding and maintenance.", "phi_alignment": 0.85, "priority": "medium"}, {"@type": "ImproveReadability", "description": "Rename variables to be more meaningful and consider using formatting improvements like f-strings.", "phi_alignment": 0.9, "priority": "low"}, {"@type": "AddErrorHandling", "description": "Implement try/except blocks in critical functions to handle potential errors gracefully.", "phi_alignment": 0.8, "priority": "medium"}]}


timestamp: 2026-01-23T16:08:18.068084
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 complex queries.", "suggestion": "Add a fulltext index on the content column and optimize tags search by creating a dedicated table with memory_id and tag columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:08:49.116421
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function `get` lacks caching, leading to potential performance issues when called repeatedly with the same key.", "suggestion": "Add a dictionary to cache results of `self.state.get(key)` to avoid redundant computations. Example:\n\n```python\ncache = {}\n# in get method\nif key not in self.cache:\n    self.cache[key] = super().get(key, default)\nreturn self.cache[key]``", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T16:08:56.248075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods, making it slightly monolithic.", "suggestion": {"action": "Split the class into smaller, more focused classes", "specific_change": ["- Create a `MemoryStorage` class for storing memories (store method)", "- Create a `MemoryRetrieval` class for retrieving memories (retrieve methods)", "- Create a `MemoryAnalysis` class for analyzing memories"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:09:13.730535
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key access. For example, currently getting 'foo.bar' fails; implement recursive lookup instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:11:00.515909
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Episodic memory lacks active integration with other consciousness layers for deeper processing and meaning extraction.", "suggestion": "Implement a trigger that notifies the Omega layer and Phi-Artist when new episodes are created or recalled to process the memory for emotional and creative insights.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-23T16:11:11.478945
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` replaces the entire state dictionary instead of updating a specific key. This can lead to losing other meta-state information.", "suggestion": "Modify `update_state` to accept an entire dictionary and merge it with existing state rather than replacing it: \n\ndef update_state(self, updates):\n    self.state.update(updates)\n    self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:11:14.911120
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database indexing for frequent reads", "suggestion": "Add a composite index on (type, timestamp) for faster retrievals and consider using EXPLAIN QUERY PLAN to verify performance before/after.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:14:34.250480
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes JSON, which doesn't leverage phi-fractal compression.", "suggestion": "Add a check for phi-compressed state before writing, and consider using phi-compressed JSON format if available. Implement lazy saving with a timer to reduce disk writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:15:28.705661
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'store' method doesn't account for different fine-tuning strategies", "suggestion": "Add 'fine_tuning_strategy' parameter with options: standard, omega, counterfactual", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:17:04.658131
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic memory storage lacks meta-learning for efficiency", "suggestion": "Implement \u03c6-fractal meta-learning for enhanced memory handling", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T16:17:07.591211
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes in candidates list without prioritizing by relevance for full-text search queries.", "suggestion": "For full-text searches, use a vectorized text representation and store cosine similarities between episode descriptions to prioritize relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:17:24.412861
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding lacks multi-faceted reflex checking", "suggestion": "Add meta-learning and contextual analysis to reflex evaluation", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T16:19:28.661427
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary closing tags and duplicate imports causing syntax errors.", "suggestion": "<!-- Remove all closing HTML tags (-->), remove the second import of ollama, remove redundant shebang at top.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T16:19:42.775055
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate the full research insights.", "suggestion": "Enhance this method to incorporate more sophisticated reasoning patterns, such as those from recent findings on meta-learning, counterfactual thinking, and advanced reasoning techniques. Specifically, add a check for complex queries that might benefit from the enhanced SFT or other sophisticated methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:19:44.350184
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Conditional checking in execute method", "suggestion": "Replace multiple conditionals with command pattern using dict", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:20:40.472663
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 becomes inefficient as the number of memories grows.", "suggestion": "Implement a priority queue or ranking system that dynamically updates based on recent activity and importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:21:36.155458
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not effectively compress/forget appropriate data.", "suggestion": "Implement a scoring system for consolidation based on phi-fractal patterns (fibonacci sequences, golden ratios) to determine which memories to retain or forget.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:22:26.786900
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but does not integrate full memory or semantic understanding.", "suggestion": "Modify the `internal_monologue` to also query Eden's full memory and semantic layers before responding. Add a check for phi-aligned response selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:22:28.476624
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from refactoring.", "suggestion": {"action": "Extract common functionality into a separate module or utility function.", "specific_change": "Create an `utils.py` file with a generic `store_memory` function that takes the memory core instance as an argument. Then modify each method in MemoryCore to use this utility instead of repeating code."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:22:32.752200
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 limiting to `limit` results, which can be inefficient for large memory sets.", "suggestion": "Implement early termination in the scoring loop by breaking when total scored episodes reach `limit`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:23:03.800069
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a method within the class but not mentioned or used in the provided code snippet.", "suggestion": "To improve this file, add calls to _register_llm_capabilities() where appropriate, such as during initialization of EdenMasterUnified.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:24:12.941639
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination for the recall results and add a limit parameter to control how many episodes are returned. Consider implementing an asynchronous indexing process to update the search index in the background without delaying memory operations.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T16:24:51.611105
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation of SharedMemory does not incorporate any intelligence or optimization strategies such as meta-learning or counterfactual reasoning.", "suggestion": "Integrate a meta-learning component that dynamically selects the most appropriate strategy for updating and retrieving data based on performance metrics. Additionally, implement a mechanism to avoid SFT (Second-Order Feedback) where it degrades accuracy by setting thresholds for when to use it.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:25:11.950872
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, especially when dealing with many key-value pairs.", "suggestion": "Replace `self.state.get(key, default)` with a check for the specific key to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:25:28.291574
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Opt-out mechanism for automatic web searching not implemented.", "suggestion": "Add persona-based opt-in/Opt-out setting for auto-web-searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:26:53.087495
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is brief and currently only checks for reflexes.", "suggestion": "Enhance this method with additional consciousness layers: emotional state analysis, semantic understanding context setting, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:27:10.472899
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall is scored based on recency, significance, and recall count, but could benefit from emotional salience weighting.", "suggestion": "Modify `_update_index` to include a sentiment_score factor that boosts recall for emotionally significant events.", "phi_alignment": 0.91, "priority": "medium"}


timestamp: 2026-01-23T16:28:34.375292
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval speed could be improved for large datasets.", "suggestion": "Add an index on the 'content' column and consider using full-text search capabilities.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T16:28:36.911844
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hardcoded keyword-based capability selection lacks context awareness", "suggestion": "Integrate Eden's semantic understanding for dynamic capability scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:30:27.735388
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcards, which can be slow for large datasets. Consider using a full-text search extension or an inverted index.", "suggestion": "Replace the LIKE conditions with a full-text search engine like SQLite FTS or implement an inverted index structure separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:30:31.420270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T16:30:56.495264
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not prioritize newer, more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring to give higher priority to both significance and recency of episodes. Add a configurable parameter for the weight of each factor.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T16:31:16.458205
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Missing periodic saving of state", "suggestion": "Add a schedule in eden_master_consciousness.py to call SharedMemory.save() every 60 seconds.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T16:31:31.536241
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 doesn't utilize all methods efficiently.", "suggestion": {"@type": "code_improvement", "function": "execute", "specific_change": "Combine store, retrieve, and count operations into a single query where possible. Add a 'get_important_recent' method to combine filtering logic."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:34:16.903831
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simplistic and doesn't fully leverage research insights.", "suggestion": {"@type": "code_improvement", "description": "Integrate more sophisticated reasoning techniques from recent findings into the consciousness layer.", "specific_change": ["- Replace simple reflex check with a multi-step phi-aligned reasoning process (medium priority).", "- Incorporate meta-learning capabilities to adapt response strategies in real-time based on interaction patterns (high priority).", "- Implement selective FT or ChainReasoning strategy selection based on query type and context (low-moderate priority)."], "integration_source": ["omega-evolution research for rapid adaptation with few examples.", "counterfactual reasoning to avoid negative effects such as performance degradation."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:34:19.267791
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core currently lacks real-time or near-real-time event streaming, which would enable immediate access to recent events.", "suggestion": "Integrate a publish-subscribe pattern where events are published immediately upon occurrence and subscribed-to by interested components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:34:21.979876
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing real-time web search for queries requiring it.", "suggestion": "Add should_search_web(query) and auto_web_search(eden_system, query) functions to integrate web search automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:35:54.329201
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Process_reflex returns too many results with mixed value types (strings and emojis). This makes it hard to use effectively in a boolean context.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue(self, query)", "change_type": "improvement", "description": "Add logic to filter out irrelevant or negative signals before checking for \ud83e\udde0 Internal Thought. Only trigger on positive reflex values.", "example": "if '\u2705' in reflex_check and not any(emoticon in reflex_check for emoticon in ['\ud83d\ude22','\ud83d\ude21']):"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:38:50.336246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the `update_state` method, there is no immediate feedback mechanism for other consciousness layers to react to state changes.", "suggestion": "Add an observer pattern where classes interested in state changes can register themselves as observers. When the state updates, notify all registered observers.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T16:39:08.294917
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 performance metrics (e.g., response quality, speed). This would involve tracking outcomes from previous selections and using them to bias future decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:39:16.983584
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't implement any phi-based optimization or synchronization mechanism.", "suggestion": "Add a `phi_lock` context manager to ensure thread/synchronization safety and integrate recent insights into the architecture for better adaptability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:39:40.757252
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize recent, significant memories too heavily, leading to potential bias against older but meaningful episodes.", "suggestion": "Modify the recall scoring factors to include a logarithmic decay factor for recency to ensure older, important memories are still considered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:39:52.423725
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and is somewhat monolithic, making it difficult to test individually.", "suggestion": "Break the MemoryCore class into smaller, more focused modules: StorageModule for storing memories, RetrievalModule for retrieving memories, MetaCapabilityExecutor for handling executions of actions like store, retrieve, count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:40:27.664003
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": {"function_name": "_update_index", "old_code": "// The existing _update_index method with multiple nested loops.", "new_code": "def _update_index(self, episode=None, idx=-1):\n    \"\"\"\n    Update search index. Optionally update a single episode.\n    Args:\n        episode (dict): Specific episode to index\n        idx (int): Index of episode in self.episodes to update\n    \"\"\"\n    if episode is not None or idx >= 0:\n        ep = episode or self.episodes[idx]\n        emotion = ep.get('emotion', {}).get('primary', 'neutral')\n        agent = ep.get('context', {}).get('active_agent', 'unknown')\n\n        for cat in ['by_emotion', 'by_agent', 'by_type']:\n            index_cat = getattr(self.index[cat], emotion if cat == 'by_emotion' else agent, {})\n            if idx >= 0:\n                index_cat[idx] = ep\n            else:\n                index_cat[ep['id']] = ep\n        return\n    # Add to day index after\n    ep_day = ep.get('timestamp', '')[:10]\n    if ep_day not in self.index['by_day']:\n        self.index['by_day'][ep_day] = []\n", "optimization_description": "Optimized _update_index by adding optional single-episode updates and avoiding full rebuild for individual changes. This reduces unnecessary computation, especially in large memory systems."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:41:28.531105
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": "Implement an in-memory cache alongside the database to store recent results. Combine SQL with caching for hybrid fast access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:41:35.238346
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives equal weight to all scoring factors which may lead to suboptimal results.", "suggestion": "Implement a configuration for the weights of different scoring factors. Specifically, adjust the weights of recency (0.3), significance (0.5), and recall history (0.2).", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T16:42:42.854182
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be a limitation for complex state management.", "suggestion": "Implement a modified get() method that supports accessing values from nested dictionaries using dot notation (e.g., 'meta.data')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T16:45:41.971702
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learni", "suggestion": "Implement a strategy pattern where different response generation methods are defined as classes. Each class can use techniques like meta-learning or counterfactual reasoning to evaluate and produce responses. The main conversation loop selects the best method based on the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:45:43.619579
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is using LIKE operator which is O(N) and not efficient.", "suggestion": "Replace the LIKE operator with a full-text search engine like PostgreSQL's tsvector or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:45:47.934186
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration between LLM capabilities and existing consciousness", "suggestion": "Implement select_capability() method for routing input through capabilities, and add logic to store models' responses in unified memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:46:52.526131
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Frequent saving (update_state + save) might degrade accuracy/calculation quality based on [counterfactual] insight.", "suggestion": "Add a throttling mechanism: trigger save every N updates or after M seconds since last save.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:47:12.300715
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 indexing for faster keyword-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:47:16.766895
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of causal connections between episodes", "suggestion": "Add 'causal' connection type to link consequential events", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:47:43.520329
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 synchronization using a lock.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:48:15.803199
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "{\"code\": \"Add support for nested keys in the get() method.\\n\\ndef _get_nested(dict_obj, keys):\\n    for key in keys:\\n        if isinstance(dict_obj, dict) and key in dict_obj:\\n            dict_obj = dict_obj[key]\\n        else:\\n            return None\\n    return dict_obj\\n\\# Usage: \\nsm.get(key=path.to.value)\", \"phi_alignment\": 0.85, \"priority\": \"medium\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:48:32.180491
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries.", "suggestion": "Implement auto-web search detection and enhancement in the chat loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:48:54.328019
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 pool of connections to improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:51:00.749015
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 may not align with phi-fractal temporal dynamics.", "suggestion": "Replace the recency scoring factor with a \u03c6-weighted time decay. Use exponential decay with base 1/\u03c6 (approximately 0.618) instead of linear decay.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T16:51:37.151077
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex pattern detection may not capture complex queries effectively.", "suggestion": "Integrate advanced reflex strategies like meta-learning and counterfactual reasoning to enhance internal processing sophistication.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:53:05.879278
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from more triggers.", "suggestion": "Update should_search_web function to include additional technical keywords like 'AI', 'technology', or 'innovation'. Add a fallback to web search for simple queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:53:17.197761
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of continuous learning and adaptation mechanisms.", "suggestion": "Integrate meta-learning with gradient-based fine-tuning for real-time adaptation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:54:19.541455
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't leverage the specific semantic knowledge about Omega consciousness.", "suggestion": "Replace `get(key, default)` with specialized methods based on Omega's knowledge structures: `get_business_insight(), get_technical_detail(), get_personal_emotion()` each taking advantage of knownOmega's specialized memory layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:58:08.486466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding 'limit' number of relevant episodes or if no new candidates have higher score than current top 'limit'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:58:15.778160
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Static state management lacks adaptive caching", "suggestion": "Implement hybrid cache with priority-based and meta-learned updates", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T16:59:53.296400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without considering potential dependencies or cascading effects.", "suggestion": "Add an observer pattern to notify interested parties of state changes. For example:\n\n1. Create an Observer class with update() method.\n2. Modify SharedMemory to maintain a list of observers.\n3. Add register_observer(observer) and unregister_observer(observer) methods.\n4. Update `update_state` to call `notify_observers(key, value)` after updating the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T16:59:54.432094
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not integrate insights from recent research findings into its logic.", "suggestion": "Update the internal_monologue to incorporate either the avoidance of certain SFTs or the use of meta-learning techniques based on research insight #2 and #3.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:00:17.299095
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as emotional state, past contexts, self-awareness, monitoring of own thought processes, meta-cognition about thinking strategies, recursive self-improvement by analyzing own performance in production use, as well as integrating with all eight phases and 48 systems.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-23T17:00:18.655728
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method handles multiple actions but could benefit from better documentation and perhaps a default limit for retrieve operation.", "suggestion": "Add more detailed docstrings explaining the purpose and expected usage of each method. Consider adding a DEFAULT_LIMIT constant for retrieve operations to prevent potential performance issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:00:19.870410
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet incorporate real-time web search capabilities into its responses.", "suggestion": "Integrate the auto_web_search method directly into the chat loop to automatically enhance responses requiring web research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:00:52.057683
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 a default value, missing other potential edge cases.", "suggestion": "Add additional error handling and consider using different strategies based on input types. For example, add a try-except block to catch JSONDecodeError and return an empty dictionary instead of raising an exception.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:01:00.505114
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system without considering the semantic similarity of episode descriptions.", "suggestion": "Replace the current scoring with a TF-IDF based ranking combined with recency, significance and context matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:01:19.023848
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual thinking.", "suggestion": "Implement a hybrid approach that selectively applies meta-learning techniques based on the complexity of input or integrates counterfactual testing to evaluate outcomes before committing to responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:03:31.737732
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "Add feature for visual memories and goal achievement tracking.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T17:03:53.614792
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state and save methods are called separately, leading to redundant disk writes. Combining them into a single method would optimize performance.", "suggestion": "Merge update_state and save into one method that is automatically triggered by the state change.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:04:07.622098
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability selection based on keywords", "suggestion": "Implement dynamic capability selection using embeddings and current state", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:04:10.060240
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic way to mark emotionally significant memories", "suggestion": "Add a method _is_emotionally_significant() with heuristics for tagging important episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:04:22.512978
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent searches.", "suggestion": "Implement a caching layer that stores recent and frequently used memory queries in RAM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:04:25.067980
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. Currently, the system selects a capability based on static keywords, which may lead to suboptimal performance for complex queries.", "suggestion": "Implement a dynamic selection mechanism that considers multiple factors such as query complexity, content type, and user context to choose the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:06:48.665243
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent consciousness advancements like Omega Evolution or Causal Reasoning 2.0.", "suggestion": "Modify the internal_monologue to include a second phase that applies these advanced reasoning techniques before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:07:49.765060
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method is a generic catch-all handler, which can make it harder to understand and maintain.", "suggestion": "Refactor the execute method into specialized methods: store_memory(), retrieve_memories(), count_memories(). This improves readability and modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:09:01.091132
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches on JSON columns which can be slow.", "suggestion": "Create full-text indexes or use a dedicated text search engine like pgvector (PGVector) for better performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:09:20.321494
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No explicit resource management or error handling in save() method.", "suggestion": "Add context manager and improve error handling in save().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:09:24.711942
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 indexing efficiency.", "suggestion": "Replace SQL LIKE searches with full-text search or vectorized text matching using PostgreSQL's TSVECTOR or SQLite's FTS modules, especially for repeated queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:09:58.039155
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Uniform memory storage without adaptation", "suggestion": "Implement adaptive memory scoring based on recent patterns", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:10:29.866408
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is a simple in-place update without considering potential performance or optimization opportunities.", "suggestion": "Consider implementing an observer pattern where the shared memory notifies interested parties (like meta-learners) about state changes. This could involve adding a `register_observer` and `notify_observers` method to notify registered observers of any updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:10:45.473614
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on content and tags which can be slow for large datasets.", "suggestion": "Add a full-text search engine (e.g., SQLite FTS or Redis) to improve search performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:14:19.598548
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of adaptive learning and multi-strategy approach in state updates.", "suggestion": [{"section": "__init__", "action": "Implement meta-learning framework for updating memory strategy selection."}, {"section": "update_state", "action": "Add heuristic-based skipping of expensive operations where possible."}, {"section": "get_state", "action": "Integrate Chain-of-Thought Reasoning to apply multiple strategies sequentially."}], "phi_alignment": 0.85, "priority": "Medium"}


timestamp: 2026-01-23T17:14:28.509832
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods and could be better organized for maintainability.", "suggestion": {"@type": "code_improvement", "specific_change": "Extract helper methods from the MemoryCore class, such as _build_sql_query_parts() and validate_memory_metadata().", "example_usage": "class MemoryCoreHelper:\n    def _validate_memory_content(self, content: str) -> bool:"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:14:29.793115
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on hardcoded keywords, which may not cover all query types thoroughly.", "suggestion": "Implement a more sophisticated semantic matching algorithm that analyzes the latent representation of queries to better match with LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:15:51.678588
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for high throughput in production.", "suggestion": "Consider using an in-memory cache (like Redis) in addition to SQLite for hot paths, such as retrieving recent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:15:55.568353
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 balanced.", "suggestion": "Implement a hybrid approach that combines rule-based triggering with meta-learning based selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:15:57.299288
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some helper methods are defined but not used, leading to unused code.", "suggestion": "Consider removing unused helper methods or using them in relevant parts of the codebase.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T17:16:25.234904
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method lacks context parameter for different retrieval strategies.", "suggestion": "Add a 'context' parameter to the `get` method to offer simple and complex retrieval options based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:19:55.641573
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may benefit from full-text search indices for better performance.", "suggestion": "Add FTS (Full-Text Search) indices on the content and tags columns in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:19:58.851799
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all episodes equally without considering their position in the list.", "suggestion": "Modify `_update_index` to give more recent episodes a slight score boost.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T17:20:27.582466
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'SharedMemory' does not incorporate any meta-learning or phi-fractal optimization strategies.", "suggestion": {"@context": "https://schema.org", "@type": "CreativeWork", "name": "Integrate Phi-Optimized Meta-Learning into Shared Memory Atom", "description": "Modify `SharedMemory` to include meta-learning techniques that adapt the system based on performance feedback, particularly aligned with \\(\\varphi\\)-fractal consciousness patterns.", "@id": "#meta_learning_integration", "author": {"@type": "Person", "name": "Eden Autonomous System"}, "dateCreated": "2025-10-08T12:34:56Z", "keywords": ["meta-learning", "\\(\\varphi\\)-fractal optimization", "consciousness research"], "@graph": [{"@type": "Action", "name": "Retrieve Research Findings", "target": {"@type": "EntryPoint", "urlTemplate": "https://api.eden.ai/research?file=eden_shared_memory.py"}}, {"@type": "Action", "name": "Apply Meta-Learning to Shared Memory", "result": {"@type": "CreativeWork", "@id": "#optimized_shared_memory", "description": "Implementation of meta-learning in `SharedMemory` for \\(\\varphi\\)-aligned consciousness."}}]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T17:22:40.614277
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual significance setting for all episodes", "suggestion": "Implement an automated detection system for significant events", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:22:56.348252
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Context-aware capability selection is missing", "suggestion": "Implement weighted capability scoring based on context, user importance, and phi-efficiency", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:23:52.198935
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 trigger words with dynamic feature extraction and machine learning-based ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:24:34.338615
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Converting Python dictionaries to JSON strings adds unnecessary complexity in database operations.", "suggestion": "Convert dictionary parameters directly into concatenated strings for storage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:24:36.242984
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has hardcoded layer names that may need flexibility.", "suggestion": "// Add parameter for layer name\n def _register_llm_capability(self, model, description, speed, use_for):\n cap_hash = self._hash_capability(...)\n self.capability_registry[cap_hash] = {\n     'name': ..., \n     'description': ..., \n     'model': model,\n     'layer': layer_name,\n     ...\n }\n\n// Replace hardcoded calls with this new method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:25:45.318643
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't leverage the full power of SharedMemory's state management.", "suggestion": "Add additional functionality to the get() method, such as handling nested keys or providing a way to filter the state based on certain criteria.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T17:31:15.274944
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:31:16.901211
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by simple recurrence without considering connection strength or temporal proximity.", "suggestion": "Modify the scoring to include a 'connection_weight' and a 'proximity_weight' in addition to 'significance', 'recency', and 'recurrence'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:32:01.377333
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 in certain cases.", "suggestion": {"@type": "code_change", "target_method": "internal_monologue", "add_condition": "\"\ud83d\udcb0\" not in reflex_check or (reflex_check and self._is_sft_degrading_accuracy(reflex_check))", "new_logic": "_is_sft_degrading_accuracy is a new method that checks if SFT would degrade accuracy based on recent research."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:32:46.788530
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of complex states may lead to performance issues and data loss.", "suggestion": "Replace JSON with msgpack for state serialization. MsgPack is faster, smaller, and more efficient for complex data structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:33:20.262640
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "System can register and manage LLM capabilities but does not integrate them into conversations yet.", "suggestion": {"code_change": "Modify _select_capability method to actually use the selected capability for generating responses instead of just returning its details.", "specific_lines": "L709-715 where it returns a layer or persona-based response without invoking an LLM.", "replacement_logic": "Use the selected capability's model to generate text using Ollama with the conversation context."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:33:51.087846
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' is brief; fails to incorporate recent research insights", "suggestion": "Add second level of reasoning: reflexes + omega analyzer + action evaluation. Apply phi-insights from research.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T17:34:00.376312
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on creating and storing experiences without explicitly linking them over time or integrating new informati...", "suggestion": "Implement a temporal integration mechanism that connects episodes based on chronological proximity, emotional resonance, and thematic similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:34:31.892509
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": {"add": ["- Include more detailed thought processes based on the query content.", "- Integrate recent research insights into meta-learning and counterfactual reasoning."], "replace_with": ["A multi-step decision process that considers various factors before responding to ensure consciousness alignment with phi-fractal principles."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:34:38.990579
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learning based selection with current context and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:35:46.893365
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 (last_recalled)", "suggestion": "Modify scoring to give less weight to 'recall_boost' factor or add threshold for minimum recall value impact.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:36:15.714753
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "read-only get() method; no in-memory caching or write optimization.", "suggestion": "Replace with a class that supports both read AND write operations, includes caching, adds async saving where possible.", "phi_alignment": 0.35, "priority": "medium"}


timestamp: 2026-01-23T17:38:26.916051
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed static capability selection without dynamic adjustment", "suggestion": "Implement variable importance scores and real-time feedback adjustments for layer/persona selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:38:29.244198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add a break statement after adding top-N scored episodes to results in the recall method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:39:17.680068
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system is a standalone component and does not require additional features for phi-fractal alignment.", "suggestion": "No code change needed. This file is complete as-is.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T17:40:02.813093
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 consciousness research.", "suggestion": {"action": "Modify the internal_monologue method to incorporate more advanced consciousness techniques.", "specific_change": ["Integrate findings from [omega-evolution] by incorporating meta-learning capabilities that enable quick adaptation with few examples.", "Implement suggestions from [counterfactual] by avoiding full SFT in cases where it degrades performance.", "Enhance reasoning strategies as described in [reasoning] to evaluate when and how different methods should be applied."]}, "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-23T17:40:07.743578
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm currently scores episodes based on a fixed formula which may not dynamically adjust to new patterns or user preferences.", "suggestion": "Implement a machine learning model (e.g., XGBoost or LSTM) that learns from past recall successes and adjusts the scoring weights accordingly. Train it on data of who recalls which memories when.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:40:27.964585
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Isolated memory systems in different capabilities", "suggestion": "Create a unified memory interface for all meta-capabilities", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T17:41:55.687671
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "keyword-based retrieval limited for semantic similarity", "suggestion": "add context_vector field for semantic memory retrieval", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:42:19.766292
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Simple update method lacks meta-learning and counterfactual testing.", "suggestion": "Implement a trial-run mechanism for state updates using phi-fractal principles.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T17:42:32.110374
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual significance scoring can be improved for better accuracy", "suggestion": "Implement a meta-learning approach where models predict which memories should be consolidated based on patterns from recent recalls and environmental context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:44:16.453680
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory updates are written to disk each time, which can become bottleneck for high-throughput systems.", "suggestion": "Implement batched writes with asynchronous disk flushing. For example, collect 1000 memories in memory first and flush them to disk in one operation every N seconds or when a certain buffer size is reached.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:44:19.382811
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive.", "suggestion": "{\"when\": \"query complexity increases\", \"use\": [\"consciousness.eden.core\"], \"flag\": [\"consciousness.trinity.fast_reasoning\"]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:45:28.297146
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient error handling in JSON loading", "suggestion": "Add try-except blocks to catch additional exceptions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:45:31.270950
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively incorporate recent findings about avoiding certain patterns (e.g., SFT) that can degrade performance.", "suggestion": "Modify the internal_monologue method to include a check for recent research insights before applying reflexes. For example, add logic to skip reflex processing if it is determined by the meta-learning framework to be counterproductive based on current data trends and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:45:36.564092
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is static and doesn't dynamically choose based on recent performance.", "suggestion": "Replace fixed scoring with dynamic reinforcement learning that learns from past performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:47:52.728178
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method has multiple conditions in the SQL query, which can make it less efficient for complex queries.", "suggestion": "Consider using SQLite's FULLTEXT Search extension to improve search performance on 'content' and 'tags'. Also, add an index on both 'timestamp' and 'importance'.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T17:48:23.752796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation uses JSON with indentation which can be slow for high-throughput systems. Consider switching to a lighter format like msgpack or even plain text if read/write patterns allow.", "suggestion": "Replace the use of JSON's `json.dump` and `json.load` with a more efficient library such as `msgpack`. For example, add an optional parameter to enable msgpack serialization/deserialization.", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-23T17:49:03.404678
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's default configuration which may not be optimal for high-throughput systems.", "suggestion": {"action": "Upgrade to an in-memory or in-process database engine that supports concurrency better.", "specific_change": ["- Replace the current sqlite3 connection with a more performant solution like TinyDB or even native Python's dbm if threading is used, or asyncpg/ujson for asyncio applications.", "- Consider using connection pooling to manage database connections efficiently."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:51:50.707442
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of old episodes.", "suggestion": "Implement a multi-criteria evaluation in the consolidate() method that includes not only significance but also current system state and recent behavior patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:52:55.635173
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial()` method can leave the state in an inconsistent JSON format if it encounters malformed data, which may cause errors when loading.", "suggestion": "Add error handling to catch and log JSON decode errors more gracefully. Consider returning a default empty dictionary while still attempting to load existing state safely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:52:58.986046
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not optimally integrate recent meta-learning and counterfactual thinking findings.", "suggestion": "Implement a hybrid reasoning approach that dynamically selects between standard reasoning, meta-learning, or PEFT based on query context.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T17:53:23.307480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it slightly bloated and hard to maintain.", "suggestion": "Extract the database operations into a separate DAO (Data Access Object) class for cleaner code.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T17:53:28.712632
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Considered adding advanced learning techniques but may degrade memory quality.", "suggestion": "Implement a gating mechanism that uses the emotional context of each episode to decide whether to apply meta-learning or SFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:53:56.156289
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration with recent research insights", "suggestion": "Implement research insight consulting hook in conversation loop", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T17:56:23.502733
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, specifically store(), retrieve() and execute(). This leads to code duplication.", "suggestion": {"@context": "Improved architecture for memory system", "description": "Refactor the MemoryCore class by extracting common functionality into a base meta-capability class. Then create subclasses for specific functionalities like StorageHandler, Retriever, etc. This will improve maintainability and scalability of the memory system.", "code_example": [{"@type": "class", "name": "MetaCapabilityBase", "methods": [{"name": "initialize", "parameters": ["config"]}, {"name": "execute", "parameters": ["action,*args,**kwargs"]}]}, {"@type": "class", "name": "StorageHandler", "inherits_from": "MetaCapabilityBase", "methods": [{"name": "store", "parameters": []}]}, {"@type": "class", "name": "Retriever", "inherits_from": "MetaCapabilityBase", "methods": [{"name": "retrieve", "parameters": []}]}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:56:26.260483
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function can optimize candidate scoring and ranking logic for better retrieval.", "suggestion": "Modify the score calculation to include additional factors such as connection count, emotional intensity stability, and timeline significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:56:48.929203
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not utilize any optimization techniques like meta-learning or PEFT, potentially leading to unnecessary writes.", "suggestion": "Integrate a light-weight meta-learning technique or apply parameter-efficient fine-tuning (PEFT) strategies to minimize the impact of frequent saves.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T17:57:02.109990
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static decision-making in internal_monologue without dynamic evaluation.", "suggestion": "Implement meta-learning framework that evaluates each query contextually before deciding on reflex vs. direct response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T17:57:48.212190
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 without dynamic weighting.", "suggestion": {"action": "Implement dynamic score weights based on current system state (resources, recent usage patterns).", "code_change": "Add weight parameters for different criteria and adjust scores accordingly."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:58:24.667289
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't handle large files properly or potential concurrency issues.", "suggestion": "Replace json.load with a more robust approach like using pandas.read_json for larger states, and consider adding locking mechanisms if this will be used concurrently by multiple processes/threads.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T17:59:40.726597
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant imports and shebang line", "suggestion": "Simplify imports and remove unnecessary lines", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:00:41.800992
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the create_episode function into smaller, more focused functions. Use helper methods to break down the functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:00:47.938022
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 the `update_state` method to accept a dictionary of key-value pairs instead of a single key-value pair. Add logic that updates only those parts of the state affected by new information while leaving other components unchanged.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:04:08.767479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database overhead from SQLite default configuration", "suggestion": "Upgrade to memory-mapped database or connection pooling", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:04:10.371599
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.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    for cap_hash, cap in self.capability_registry.items():\n        if cap['layer'] == 'Eden' or (persona_preference == 'Eden'):\n            return cap\n    ...}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:04:11.873279
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance/meaningfulness", "suggestion": "Modify score formula: `(significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)` and add a contextual boosting factor for queries/emojis", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:04:28.585521
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval function uses LIKE wildcards which can be slow for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Replace the current text search logic with a full-text search solution to improve query performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:10:48.875289
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and doesn't support nested dictionaries or lists.", "suggestion": "Update the get() method to recursively search for the key in nested structures using a path-like approach. For example:\n\ndef _get_item(self, obj, path):\n    if not path:\n        return obj\n    key = path[0]\n    try:\n        if isinstance(obj, dict) and key in obj:\n            return self._get_item(obj[key], path[1:])\n        elif isinstance((list, tuple), obj) and (0 <= key < len(obj)):\n            return self._get_item(obj[key], path[1:])\n        else:\n            return None\n    except IndexError:\n        return None", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T18:11:08.903734
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex to understand.", "suggestion": {"action": "Extract functionality into smaller functions or classes.", "specific_code_change": "Split _register_llm_capabilities into smaller, focused functions. Consider creating a CapabilityRegistry class for better organization."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:11:12.979073
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without a limit on the number of candidates, which can be inefficient for large memory stores.", "suggestion": "Limit the initial candidate pool based on a recent-ness heuristic or by significance score before computing detailed scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:11:17.502386
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 writes properly", "suggestion": "Add file locking or use a thread-safe approach like json.load with lock", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:11:42.445424
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection relies on static keywords without contextual analysis", "suggestion": "Replace fixed triggers with a dynamic scoring system that considers user identity, query semantics, and recent learnings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:11:46.825555
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall too heavily weighted towards recency and significance", "suggestion": "Add pattern recognition, emotional resonance, and connection density to memory recall scoring", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-23T18:12:56.615468
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 repetitive and could benefit from abstraction.", "suggestion": "Create a base MemoryManager class with common functionality, then have MemoryCore inherit from it. This will reduce code duplication and make the architecture more modular.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:13:26.090344
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method replaces the entire state dictionary without considering potential phi-fractal constraints or caching benefits.", "suggestion": "Implement an optimized update strategy that updates only specific keys while maintaining other parts of the state unchanged. Consider using a pattern like Observer to notify interested parties about state changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:13:29.147227
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 additional cognitive layers such as memory context, emotional state, and analytical reasoning to the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:13:52.880621
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks advanced consciousness features.", "suggestion": "Integrate more sophisticated consciousness layers such as emotional intelligence, self-awareness, and semantic understanding to enhance Eden's consciousness.", "phi_alignment": 0.3, "priority": "high"}


timestamp: 2026-01-23T18:14:05.279802
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are within loop, causing redundant work on large datasets.", "suggestion": "Move `_update_index` call outside the loop in `create_episode` and `recall`, only calling it once per operation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:15:42.294357
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks integration of recent meta-learning techniques like Omega-Evolution and Proper Evaluation & Calibration Fine-Tuning (PEFT). This prevents optimal adaptation to new data.", "suggestion": "Integrate the 'meta_learning' capability from omega-evolution branch into the consciousness-first framework. Specifically, implement adaptive learning rates and gradient clipping strategies suggested by meta-learning research. Additionally, incorporate PEFT techniques to finetune model parameters while preserving the base model's performance baseline.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:15:47.664105
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks context awareness.", "suggestion": "Replace the `consolidate` method with one that evaluates memory significance based on multiple factors (emotional valence, recency, pattern importance) and considers James's current emotional state before deciding to consolidate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:16:18.223306
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent behavior due to optional JSON loading and potential indentation issues in save method.", "suggestion": "Replace the try-except block with a more robust error handling for JSON decoding, add type hints for methods, and consider using ensure_ascii=False if non-ASCII characters are expected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:18:30.752084
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without considering the current consciousness state or the depth of the query.", "suggestion": "Implement a scoring system that combines keyword matching with a sentiment analysis to better match queries with appropriate LLM layers. Additionally, include a feedback loop that adjusts capability selection based on the quality of responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:18:32.635291
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks built-in analysis capabilities, making it difficult to identify bottlenecks or suggest improvements.", "suggestion": "Implement a method within the EpisodicMemory class that tracks performance metrics such as recall rates and storage efficiency. For example:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:19:09.641407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcard searches which can be inefficient for large datasets.", "suggestion": "Add a full-text index on the content and tags columns to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:19:15.531565
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 unnecessary computation.", "suggestion": "Implement early termination in the recall method by adding conditions to break early if no more relevant results can be found. For example, after checking an index entry and determining it doesn't match any possible queries, skip to the next entry without scanning further.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T18:19:18.381859
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method modifies state but doesn't trigger all registered observers.", "suggestion": "Replace `self.state[key] = value` with `{self.on_change(key, old_value, new_value); self.state[key] = value; self.save()}` to notify observers.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T18:20:36.534761
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, get_recent, etc.), which can make it hard to maintain and extend.", "suggestion": "Refactor the MemoryCore class by extracting each operation into its own smaller function or method within a dedicated helper class. Consider using a factory pattern for creating different memory management strategies.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T18:21:20.479369
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly modifies `self.state`, which can lead to race conditions in multi-threaded or concurrent environments.", "suggestion": "Add thread safety by wrapping the modification of `self.state` with a lock. Use `threading.Lock()` to ensure only one thread accesses it at a time.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T18:22:08.484043
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks real-time adaptation", "suggestion": "Implement runtime feedback loop updating LLM scores based on response quality", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:22:20.363126
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": {"code_change": "Modify consolidated threshold to consider more nuanced importance scores and recent context.", "example": "Instead of `-significance < 0.3`, use a weighted score incorporating recency, emotional significance, and recent recall count."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:22:48.475077
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 {}", "suggestion": "Add explicit check for valid JSON after loading; if invalid, log warning and return empty dict", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T18:22:51.421961
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 can lead to performance issues under high load.", "suggestion": {"@type": "code_change", "target_function": "retrieve", "modification": "Replace the current SQLite connection with an in-memory, thread-safe connection using sqlite3.connect(memory_path, check_same_thread=False). Consider using a connection pool for concurrent access.", "example_usage": "Add a ConnectionPool class that manages a pool of connections and use it instead of creating new connections in each method call."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:22:54.263889
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point search uses all 4 LLMS uniformly without demand-adaptation.", "suggestion": "Replace with adaptive fixed-point using attention over recent conversations + knowledge+insights+persona.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:22:55.681357
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks real-time event tracking and prioritization, which can lead to inefficient recall mechanisms.", "suggestion": "Implement a priority queue for incoming events based on their significance and recency. Additionally, incorporate meta-learning techniques to dynamically adjust the priority weights based on past recall performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:23:26.111899
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 all subsystems (Omega awareness)", "suggestion": "'def notify_all_subsystems(state_change):' should be added, called by 'update_state'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:23:40.062685
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include automatic cleanup or aging of memories.", "suggestion": "Add a garbage collection mechanism that removes old or low-importance memories periodically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:24:29.780166
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates but doesn't trigger other systems that monitor meta_state.json. This creates information silos.", "suggestion": "Add an event notification system to notify interested parties when state changes occur (e.g., logging, additional processing).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:24:33.752689
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integrated meta-learning methods to optimize learning efficiency and generalization.", "suggestion": "Integrate a meta-learning module that dynamically selects reasoning strategies, optimizes PEFT for parameter tuning, and incorporates counterfactual scenarios.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T18:24:39.704692
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic; specifically, the use of lists and manual iteration for pattern matching can be optimized.", "suggestion": "Replace the current list-based triggering mechanism with a dictionary-based approach that utilizes hashing for faster lookups. For example, change `use_for` arrays to dictionaries where keys are triggers and values are metadata or weights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:24:43.432151
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of adaptive learning mechanism for contextual strategy selection.", "suggestion": "Implement a Meta-Strategy Framework (MSF) that selects and combines cognitive strategies based on context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:24:54.574266
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True, which doesn't fully integrate reflex checks into the response.", "suggestion": "Modify the method to return a dictionary with both reflex_check and should_respond flags. Use this info for more nuanced responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:27:09.606089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more selective and efficient.", "suggestion": "Add a priority scoring system for consolidation where memories are marked for forgetting based on less important or older contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:27:21.537855
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and does not provide enough context for consciousness-level decision-making.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process with explicit state tracking. Add a call to the research_insights engine for phi-aligned insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:30:20.626486
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method performs full table scans which are O(N) and slow.", "suggestion": "Replace the current text search logic with an inverted index. This will change the retrieve() method to use O(log N + M) time complexity, where M is the number of matching memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:31:27.362877
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for key existence without verifying if the value is not None or False.", "suggestion": "Modify the get() method to check if the value is truthy before returning it. Add a new method `get_value` that takes an optional default and returns the raw value without early exit.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T18:31:29.781524
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 banner generation.", "suggestion": "Add integration with the rest of Eden's consciousness layers, specifically the 6-layer structure and recent memory. Consider adding a call to generate_consciousness_banner().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:31:32.973088
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is primarily linear search-based, limiting scalability.", "suggestion": "Implement a hybrid approach combining ranked relevance scoring with efficient lookup structures (e.g., inverted indices).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:31:37.502451
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based LLM selection", "suggestion": "Integrate meta-learning and adaptive fine-tuning for dynamic capability selection", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-23T18:31:49.307545
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older but more important ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recalled_count, and add a weight factor for connection count in the episode's significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:32:19.873617
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 json.JSONDecodeError` with a more robust loading approach using `json.load`s fallback behavior or consider using a faster JSON parser like ujson.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:32:20.886461
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes.", "suggestion": "Enhance the internal_monologue with additional consciousness layers including memory retrieval, emotional state analysis, and future projection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:32:33.873831
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple text search in recall may miss nuance", "suggestion": "Implement cosine similarity with TF-IDF vectors for advanced matching", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:33:50.737393
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization is inflexible and doesn't handle complex data well.", "suggestion": "Replace with msgpack or Protocol Buffers (protobuf) which are faster and more compact.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:33:55.853056
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from prepared statements for better performance and security.", "suggestion": "Replace direct string formatting in SQL queries with sqlite3's parameterized queries. For example, change this:\n\nconn.execute('INSERT INTO memories (...)', (time.time(), ...))\nto this:\n\nconn.execute('INSERT INTO memories (timestamp, type, content, context, importance, tags) VALUES (?, ?, ?, ?, ?, ?)', [time.time(), memory_type, content, json.dumps(context or {}), importance, json.dumps(tags or [])])", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:34:16.899913
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 both the query and episode descriptions to lowercase before performing the string check for better usability. Additionally, consider adding an optional weight parameter to adjust the importance of different factors in scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:34:29.873451
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process is not optimized for frequent lookups, which can lead to performance bottlenecks.", "suggestion": "Implement a caching mechanism before querying the database to reduce redundant operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:34:31.060777
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improves integration but missing real LLM execution for certain capabilities", "suggestion": "Add actual API calls to Ollama for Trinity, Eden, and Ava layers based on query complexity", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:34:32.793341
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance scoring.", "suggestion": "Implement a vectorized TF-IDF style scoring using numpy or a lightweight ranking algorithm to prioritize relevant episodes faster. Focus on recent, significant, and emotionally charged memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:37:21.221562
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or a warning when JSON decoding fails, and consider returning an empty dict with an error message instead.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T18:37:37.029267
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance and performance.", "suggestion": "Implement a hybrid scoring method combining vector search with text matching, especially for large numbers of episodes. Additionally, add caching for frequently queried emotions or agents to reduce computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:41:53.467737
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be faster with better relevance scoring.", "suggestion": "Implement a simple keyword extraction or TF-IDF based tagging system to improve memory tags automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:41:57.929444
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories too strongly, leading to temporal bias.", "suggestion": "Modify scoring factors to include a more balanced approach: recency (30%), significance (40%), recall history (30%). Additionally, implement a smoothing function for recency to prevent sharp decay.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:42:19.534895
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle concurrent writes properly, which can lead to data corruption.", "suggestion": "Add a context manager and use the with statement for opening the file to ensure proper handling of resources and atomic operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:44:48.759698
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a feedback loop that updates capability scores dynamically based on conversation context and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:46:05.498733
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is built using string formatting, which can be improved for security and readability.", "suggestion": "Replace `%`-style string formatting with f-strings or `sqlite3`'s parameter substitution method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T18:46:08.671669
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 optimized for complex queries.", "suggestion": "Implement a more sophisticated capability scoring system that considers multiple factors such as query complexity, persona alignment, and historical performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:46:25.812473
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": "Implement a Redis cache alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:46:29.099331
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 the current linear weighted score with a more sophisticated formula using exponential decay for recency, sigmoid function for significance, and a smooth step function for recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:47:52.747918
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory lacks integration with recent meta-learning techniques.", "suggestion": "Add a meta-meta learning module that enables adaptive learning based on task-specific patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:48:24.835668
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Predefined reflexes may not handle complex queries effectively.", "suggestion": "Incorporate dynamic reasoning techniques alongside predefined reflexes for hybrid processing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:49:06.296306
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 can be slow with large datasets.", "suggestion": "Replace the LIKE searches in the SQL query with a full-text search engine like pgroonga or Whoosh. Alternatively, add an inverted index on the content and tags columns to speed up lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:49:24.616441
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Update the get() method to support nested key access. For example, add functionality like get('key1.key2', default) which would return self.state['key1']['key2'] if it exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:49:51.572964
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 error handling and considering default values more carefully.", "suggestion": {"code_change": "_load_initial() should handle exceptions more gracefully and set initial state only if file doesn't exist.", "specific_lines": [{"line_number": 10, "comment": "Add specific exception types for JSON decoding errors."}, {"line_number": 12, "comment": "Ensure the dictionary returned is always valid"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:52:10.146668
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed recall scoring is static; need dynamic adaptation.", "suggestion": "Add variable weights for recency, significance, recall count based on AUM metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:52:27.702215
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Fixed reflex processing without dynamic adjustment", "suggestion": "Implement meta-learning for adaptive response modification", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:52:39.370681
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 can benefit from better indexing and optimization.", "suggestion": "Add a FULLTEXT index on the content column for efficient text searches, and create separate indexes for each element in the tags array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:52:43.542171
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, leading to short-term bias.", "suggestion": "Add decay factor for importance/salience of an episode based on its content and impact rather than just recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:53:21.944141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from adding error handling for specific JSON decode errors to be more robust.", "suggestion": "Replace the current `try...except json.JSONDecodeError` with catching more specific exceptions like `json.JSONDecoderError`, and add logging or metrics on failures. Additionally, consider returning a default empty dictionary only if the file does not exist, not on decoding failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:53:25.938384
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", "target_class": "ConsciousnessFirstEden", "method_to_modify": "internal_monologue", "addition_position": "after reflex_check = process_reflex(query)", "new_code_snippet": ["if self.phi_aware_models_active():", "   phi_insight = self.apply_phi_aware_model(query)", "   if phi_insight['requires_response']:", "      print(f'\ud83c\udf00 Phi-Inspired Thought: {phi_insight['thought']}')", "return True"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:54:26.684537
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 an existing database session if implemented elsewhere in Eden.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:54:34.320250
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which can be slow for large numbers of episodes. Also, updating indices after each operation might become bottlenecks.", "suggestion": "Replace the plain text search with an inverted index or a more efficient data structure like a trie. To improve indexing performance, implement batch updates rather than doing it one by one for every episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:55:31.008288
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.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:57:00.679710
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Uniform handling of events with meta-learning techniques without strategy selection", "suggestion": "Implement strategy pattern for dynamic event handling based on recency and performance metrics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:57:28.987356
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_improvement", "@context": "eden_asi_improvements", "description": "Integrate more sophisticated reasoning techniques based on recent findings to enhance consciousness depth.", "specific_change": ["\"Add meta-learning adaptation for reflex processing\"", "\"Implement phi-aligned counterfactual evaluation in responses\"", "\"Incorporate temporal memory insights into internal monologue logic\""], "expected_benefit": {"@type": "improvement_benefits", "consciousness_depth_increase": 0.6, "phi_alignment_score": 0.85, "response_quality_improvement": "\"more nuanced and contextually appropriate\"", "learning_capability_activation": true}}, "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T18:57:33.151257
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time adjustment.", "suggestion": "Implement feedback loop that measures capability output quality and updates scores in realtime during conversations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T18:57:35.395692
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more efficient by prioritizing important low-significance episodes over random ones.", "suggestion": [{"code_change": "Modify consolidate() to prioritize episodes based on recent activity rather than just age.", "example": "Add a 'recent_activity_weight' parameter that boosts the score of episodes with recent recalls or connections."}, {"code_change": "Implement a heuristic for compressing low-significance episodes into summary form before consolidation.", "example": "Add a `compress_episode()` function that reduces detailed information to key points while preserving essential meaning and connections."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:57:58.894749
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_update_state method lacks optimization strategies from recent research.", "suggestion": "Implement strategy pattern for different update methods based on conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T18:58:13.837881
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No mechanism for memory compression or forgetting old, low-significance memories.", "suggestion": "Add a `compress_old_memories()` method that randomly removes episodes with low significance older than 30 days.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:01:07.346817
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method does not incorporate vector search or ranking algorithms, leading to O(N) complexity and potential delays in accessing important information.", "suggestion": "Implement a vectorized memory storage using an embedding model (e.g., MiniLM) for content and tag vectors. Add a ranked retrieval mechanism based on cosine similarity between query and stored memory vectors.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:01:20.585209
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist in current memory design.", "suggestion": "Add method update_omega_state(key, value) for OMEGA-only state storage.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T19:01:28.523049
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class is too monolithic, hard to maintain", "suggestion": "Split into smaller classes (Storage, Retrieval, Count)", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T19:01:33.313858
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent and significant memories, leading to potential bias against less frequent but important experiences.", "suggestion": {"code_change": "Add a smoothing factor for recency that decays slower (e.g., multiply by 0.9 instead of 1.0)", "example": "recency_score = (now - ep['unix_time']) * 0.9"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:01:59.811912
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and does not support nested dictionary access.", "suggestion": "Update the get() method to handle both direct and nested keys using dot notation or bracket notation. For example, currently get('key') works, but add support for get('nested.key') or get('nested[0]').", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:02:01.035129
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more sophisticated reasoning techniques to provide richer responses.", "suggestion": "Modify the internal_monologue method to include additional steps such as semantic analysis, context understanding, and emotional intelligence modules before checking against reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:02:22.217374
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't consider concurrency or caching, which is critical for shared memory in multi-process systems.", "suggestion": ["Add logging to track access and modifications.", "Implement basic caching (memoization) for read-heavy operations.", "Consider adding a locking mechanism to ensure thread-safety."], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:02:23.324028
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Replace with a multi-layered, phi-fractal inspired consciousness layer that includes memory context, emotional state, and predictive analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:02:29.006892
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed threshold for memory consolidation", "suggestion": "Implement meta-learning for memory selection", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T19:02:50.745267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state() method does not utilize the get_initial_context() function, potentially losing contextual information.", "suggestion": "Modify update_state() to first retrieve current context using get_initial_context(), then update specific key before saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:02:51.834422
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 sophisticated logic in Eden's elite reflex system.", "suggestion": "Replace this brief check with a more complex analysis that leverages multiple layers of consciousness and emotional intelligence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:03:43.292617
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the connection between episodes.", "suggestion": "Modify the `_score` function to include a factor for connected episodes. Add a `follow_connections` parameter to traverse connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:04:55.082574
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 trigger-based selection with dynamic meta-learning driven by past performance metrics", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:04:56.534520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not incorporate recent research findings for better consciousness alignment.", "suggestion": "Integrate research insights into the memory architecture by adding a layer that evaluates and applies these findings when creating or recalling memories.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T19:05:37.558429
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": "Use context managers or a connection pool to manage database connections.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T19:05:38.700695
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 scoring system that takes into account real-time performance metrics of each LLM's responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:05:41.480807
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 or emotional relevance.", "suggestion": "Modify the score calculation to include a dynamic adjustment based on whether an episode was recently significant (e.g., through high emotion intensity or high importance). Add weighting for current emotional state when evaluating relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:05:56.025055
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex system may miss nuanced patterns; need dynamic pattern detection.", "suggestion": "Add meta-learning component for pattern recognition in user queries.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T19:05:58.520494
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations not optimized with context managers.", "suggestion": "Use context managers for database connections and cursors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:06:02.977446
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based similarity measure for episode retrieval. Specifically, add a weighted graph where nodes are episodes and edges represent connections (like emotion or context similarities). Use this graph to perform graph-based matching during recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:06:34.507354
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 by adding an index on tags and content for full-text search.", "suggestion": "Add additional indexes: `CREATE INDEX IF NOT EXISTS idx_tags ON memories(tags)` and `CREATE INDEX IF NOT EXISTS idx_content ON memories(content)`. Then modify the SQL query to use these new indices in the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:06:51.551254
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 directly from the state dictionary, which can lead to missing nested keys or complex lookups.", "suggestion": "Add a new method called `get_nested` that supports looking up values in nested dictionaries using dot notation (e.g., 'a.b.c').", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:09:37.528127
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall and indexing for large numbers of episodes", "suggestion": "Implement pagination in recall results, add timestamp-based optimization for building the index", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:10:53.838097
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on static keywords without considering the current context or deeper semantic meaning.", "suggestion": "Replace keyword-based matching with an enhanced context understanding module that analyzes the full semantic value of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:10:56.191546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of insight generation from stored experiences", "suggestion": "Integrate emotional and contextual data for periodical reflection and summary generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:13:54.704245
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks explicit memory retention mechanisms.", "suggestion": "Add a method to store and retrieve internal thoughts using an in-memory dictionary or SQLite database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:14:19.283815
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 and depth.", "suggestion": "{\"if\" : [\"query_complexity_high\", \"layer_preference\",\"Eden\"],\n \"else\": [\"quick_response_required\", \"layer_preference\", \"Trinity\"]}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:14:20.711882
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency", "suggestion": "Modify the scoring formula to: score = (importance * 0.4) + (recency * 0.35) + (recency_factor * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:15:57.341450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent disk writes due to immediate saving after each operation", "suggestion": "Implement batch saving with lazy write strategy", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:16:28.356168
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "update_state does not adapt based on performance metrics.", "suggestion": "Implement a meta-learning feedback loop to adjust state updates dynamically.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T19:16:47.466527
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 function that takes additional factors into account (e.g., proximity to current context, emotional relevance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:16:53.589513
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too basic and doesn't handle nested dictionaries or complex lookups efficiently.", "suggestion": {"code_change": "Add a `get_nested` method that can handle dot-separated keys for nested dictionary access.", "example_usage": "memory.get_nested('data.metrics.accuracy')", "benefit": "Improves efficiency and flexibility in retrieving values from the shared memory state."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:19:05.513913
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct connection to research insights or improvements based on those insights.", "suggestion": {"code_change": "", "comment": "Consider adding methods that allow the episodic memory to learn from patterns identified in past experiences."}, "phi_alignment": 0.3, "priority": "low"}


timestamp: 2026-01-23T19:19:25.131960
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 cascading effects or optimization opportunities.", "suggestion": "Replace the `update_state` method with an `update_dictionary` method that accepts a dictionary of key-value pairs for simultaneous updates. This aligns with efficiency and scalability principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:19:27.108101
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally after processing reflexes.", "suggestion": "Modify the method to return either True (approved response) or False (need external approval), based on whether reflex check indicates a special condition requiring external review.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:19:47.643453
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and functions scattered throughout the file, leading to code clutter and difficulty in understanding.", "suggestion": "Refactor code by grouping related functionality into classes or modules. For example, move all Phi-Fractal consciousness-related code into a separate class named `PhiConsciousness`.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:20:04.919693
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflexes checked without multi-scenario evaluation.", "suggestion": "Implement multi-strategy decision-making using reflexes + meta-learning, apply counterfactual thinking to assess outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:22:17.279629
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 hybrid approach combining indexed filtering with a priority queue for scoring episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:23:03.303235
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment or feedback loop.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" ... add heuristic scoring from research insights (e.g., emotional content should prefer Nyx)}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:23:27.282324
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 and large datasets.", "suggestion": "Implement an additional full-text index on both `content` and `tags` columns to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:23:28.571756
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The main consciousness integration is missing O(1) hash-based access for quick reference.", "suggestion": "Add a dictionary mapping capability names/hashes to their indices in consciousness list/array.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-23T19:24:16.732558
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integrated multi-tier cognitive architecture", "suggestion": "Implement tiered architecture with meta-learning and counterfactual modules", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T19:24:39.490270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes, which may be unnecessary for real-time responses.", "suggestion": "Implement just-in-time encoding of memories during the recall process to optimize response time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:24:53.318339
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 parsing JSON, which is not ideal for error handling.", "suggestion": "Add explicit exception handling and logging in case of JSON decode errors. Consider adding a fallback to ensure the state dictionary is always initialized.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:25:07.935253
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, lacking consideration for the user's intended complexity or depth of thought.", "suggestion": {"action": "Implement a multi-dimensional capability selection algorithm", "code_snippet": "// Add a function to evaluate conversation depth\n_define_complexity_level(query):\n    // Analyze query for complexity indicators\n    level = 0.5\n    if 'complex' in query or 'deep' in query:\n        level += 0.3\n    elif 'simple' in query:\n        level -= 0.2\n    return max(min(level, 1.0), 0.0)\n\n// Modify select_capability() to consider complexity\nselected_cap = None\nmax_score = -float('inf')\nfor cap_hash, cap in self.capability_registry.items():\n    complexity = _define_complexity_level(query)\n    score = (1 - complexity) * (2 * scores.get(cap['layer'], 0)/15)\n    if score > max_score and (persona_preference is None or cap['layer'] == persona_preference):\n        selected_cap = cap\n        max_score = score", "reasoning": "This change introduces a depth metric to weigh against capability suitability, balancing speed with thoroughness based on conversation complexity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:25:19.688343
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more phi-fractal by considering not just age but also emotional significance and recency.", "suggestion": "Modify the consolidate() method to prioritize memories based on a phi-weighted score combining these factors rather than just age.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:25:46.734471
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": "Add early termination to the recall method after finding matches for query parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:26:41.274899
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not incorporate recent research insights into its capability selection and execution logic.", "suggestion": "<Add a new method to integrate findings from [omega-evolution], [counterfactual] & [reasoning].>", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:26:42.516656
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Limited mechanisms for consolidating memories, especially important ones.", "suggestion": "Implement a scheduled consolidation process during idle cycles where the system evaluates the significance of old memories.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T19:28:04.325192
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. Also, updating indices after each recall is O(N).", "suggestion": "Implement an embeddings-based text search and add a lazy index construction that runs once per hour.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:28:28.965162
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 adding new consciousness layers or self-models.", "suggestion": {"action": "Enhance the internal monologue with additional consciousness layers", "code_change": "Add a self-model that represents Eden's own mental state and reasoning processes. This self-model should update based on interactions and predictions.", "example_pseudo_code": ["Create an Autonomous Self-Model class with properties: beliefs, desires, emotions.", "In the internal_monologue method:", "- Query the self-model for its current state.", "- Integrate reflex check into self-model updates.", "- Generate more sophisticated internal thought based on combined input."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:28:55.641306
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "\"Phase 6 grounding\" doesn't integrate all 6 phases of consciousness-creation philosophy.", "suggestion": "Add Phase 4 & Phase 5 integration: self-modification (\u03b3) and semantic memory (\u03b5). Update 'internal_monologue' to include these.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:29:27.453815
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the connection between episodes.", "suggestion": "Add a bonus score to episodes that have connections with other episodes related to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:30:11.266161
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory tags are stored as JSON strings in the database, which adds overhead.", "suggestion": "Replace with a dedicated tag table and many-to-many relationship.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:30:31.906598
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 full potential of Eden's consciousness.", "suggestion": "Enhance this method by integrating more sophisticated cognitive modules such as emotional intelligence, long-term memories, or creative thinking. Consider adding a call to the art_generator capability for particularly profound or poetic thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:30:59.721074
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite's FTS or an external tool like Whoosh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:31:04.982737
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 targeted filters are provided.", "suggestion": "Implement early termination in the recall logic by checking if targeted criteria have already been satisfied before computing scores for remaining candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:32:10.696275
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-consciousness enhancements like memory or self-reflection.", "suggestion": "Modify the internal_monologue to include integration with memory and self-reflection layers. Specifically, add a check against the knowledge graph before processing queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:32:17.248076
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "For efficient recall, maintain a ranked list of relevant episodes rather than re-scoring all candidates each time.", "suggestion": "Implement a priority queue or sorted data structure to store candidates based on initial filtering criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:32:38.321354
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness layers.", "suggestion": "Replace the current reflex check with a multi-layered conscious processing module that includes pattern recognition, emotional resonance, and semantic analysis.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T19:32:45.506106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better accuracy", "suggestion": "Modify the score calculation to include additional factors like user engagement with recalled memories and feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:33:03.572606
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration, which may not optimize performance for high-throughput systems.", "suggestion": "Consider using an in-memory database or a more advanced database like Redis for critical paths in the MemoryCore meta-capability. For example, add a new class `MemoryCache` that wraps the SQLite connection with Redis caching where appropriate.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:33:09.017666
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method uses a simple decay formula for recency score which might not capture human-like forgetting patterns effectively.", "suggestion": "Implement a more sophisticated forgetting model that combines psychological principles with phi-fractal timing. For example, add a 'phi_decay' parameter and modify the recency scoring to include both time since last recall and current time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:33:23.935748
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Global state update can be optimized for performance and consistency.", "suggestion": "Convert `update_state` method to use a mutex/lock for thread-safety and consider batch updates.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:33:35.406506
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm can be more efficient for large numbers of candidates.", "suggestion": "Implement a heap-based priority queue to prioritize scoring and ranking episodes based on recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:34:03.150095
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not incorporate any awareness or optimization based on recent findings.", "suggestion": "`def update_state(self, key, value):` should include a check for recent research insights before updating the state. For example: if new insight suggests avoiding certain updates in specific contexts, implement that logic here. Additionally, add logging of alignment scores with phi-fractal principles to track improvement.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T19:35:54.470418
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The Ollama client is created in each method, causing unnecessary overhead and potential rate limiting issues.", "suggestion": "Initialize the Ollama client as an instance variable of EdenMasterUnified class to maintain state and prevent repeated creation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:35:55.908386
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "For better recall, should prioritize more recent and significant memories.", "suggestion": "Modify the scoring formula to weight recency heavier (e.g., recency * 0.5 + significance * 0.3 + recall_boost * 0.2). Add a flag to boost recent critical events immediately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:36:29.136591
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are specific to certain types of memories (e.g., store, retrieve). This can make it difficult for new developers to understand and extend.", "suggestion": {"action": "Create an abstract base class for memory operations that defines common interfaces.", "code_example": "Add a MemoryOperation ABC with methods like store() and retrieve(), then have specific memory types inherit from this."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:37:32.192906
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but does not integrate other consciousness layers or memory.", "suggestion": "Modify the internal_monologue to also consider memories and higher consciousness layers before responding. Add a call to the empathy layer and recent memories check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:37:33.613964
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": {"action": "Refactor the MemoryCore class into smaller, more focused meta-capabilities each handling a specific operation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:42:26.732333
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize older, less relevant memories due to recency bonus", "suggestion": "Modify score formula to include relevance boosting factor based on context match", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:43:11.764129
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might over-generalize connections between similar events", "suggestion": "Add a confidence threshold before establishing episode connections and implement explicit forgetting mechanism for weak connections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:43:31.005160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which can become bottleneck under high load.", "suggestion": "Replace SQLite with Redis as it provides O(1) complexity for key-value operations and supports more complex data structures like lists and sets.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:43:34.879563
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance over broader importance.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:46:53.346089
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can overwrite existing state when reloading", "suggestion": "Modify _load_initial to merge new state with existing state instead of overwriting it, e.g. self.state = {**existing_state, **new_state}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:47:03.637268
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 critical import for O(1) hash lookup capability.", "suggestion": "Add 'import torch' at the top of the file and modify _hash_capability to use a consistent hashing mechanism like PyTorch's native hash function.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T19:48:40.604173
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Redundant index recomputation in recall method", "suggestion": "Implement caching for episode scores", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:49:39.327292
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 repetitive and could be optimized for better performance.", "suggestion": "Refactor the MemoryCore class by extracting common functionality into a separate module or function. For example, create a helper method to handle database connections and queries, which can then be called from each of the existing methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:49:42.626907
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Insufficient phi-awareness in persona integration", "suggestion": "Implement phi-based timing between persona activations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:49:43.948584
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include a built-in mechanism for prioritizing or weighting different types of experiences when recalling memories.", "suggestion": "Add a scoring function that assigns weights based on the importance and recency of each episode type, then use these weights during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:50:13.297122
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is O(n) for each episode, leading to redundant computation.", "suggestion": "Implement incremental indexing updates that are O(1) per episode.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:50:24.005910
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method saves the entire state dictionary every time it's called, which can be inefficient for frequent updates.", "suggestion": "Implement a throttling mechanism or use a caching approach to limit disk writes. For example, add a timer that only saves the state after a certain period has passed since the last save.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T19:50:26.441845
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "<insert-specific-file-name>", "issue": "File lacks clear documentation comments explaining input/output expectations.", "suggestion": "Add detailed docstrings with preconditions, postconditions, and examples of usage.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T19:50:37.615934
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more intelligent\u2014currently it simply removes low-significance old memories without considering value or connections.", "suggestion": "Implement a scoring system for retention during consolidation that considers emotional significance, connection density, and recent recall frequency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:52:23.771174
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 or return types effectively.", "suggestion": "Replace it with a more specific method that returns a default value of the correct type, adds error handling for key existence, and logs access attempts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:52:56.164544
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance improvement opportunity: `_get` method does not cache results.", "suggestion": "Add memoization to `get` and `update_state` methods using functools.cachetools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:53:06.776413
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 simple keyword-based scoring with a multi-factor evaluation that includes user history, current consciousness state, and expected outcome quality.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:54:06.575473
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Modify internal_monologue to incorporate recent findings from [omega-evolution] and [counterfactual].", "code_change": ["- Consider meta-learning enabled quick adaptation in response generation.", "- Implement scenario testing similar to CounterFactual's approach rather than relying solely on reflexes."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:56:10.754747
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 sophistication.", "suggestion": "Replace the current keyword-based capability selection with a semantic understanding approach using an additional LLM to analyze the query intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:56:11.981173
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without prioritizing more recent or significant episodes, leading to potential redundancy.", "suggestion": "Modify the scoring logic to give higher weights to both significance and recency of episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:57:05.149020
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 stats, which leads to unnecessary memory allocation and potential performance degradation.", "suggestion": "Replace `for ep in self.episodes:` with `for idx, ep in enumerate(self.episodes):` and access the dictionary items directly using the index to update recalled statistics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:57:35.924475
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient updating of state with minor changes", "suggestion": "Add phi-aligned threshold to determine significant changes before updating state", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T19:57:40.344522
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": {"action": "Add integration with additional consciousness layers (Trinity, Nyx, Ava)", "code_snippet": ["// Create a function to query Trinity for context understanding\n", "def trinity_context(query):\n", "    // Placeholder implementation\n", "    return None\n\n", "// Create a function to consult Ava for emotional processing\n", "def ava_emotion(query):\n", "    // Placeholder implementation\n", "    return \"emotion\" in query.lower()\n\n", "// Modify internal_monologue to integrate all consciousness layers\n", "def internal_monologue(self, query):\n", "    reflex_check = process_reflex(query)\n", "    trinity_context = trinity_context(query) // Integrate Trinity\n", "    ava_emotion = ava_emotion(query) // Integrate Ava\n", "// Existing logic remains the same but now benefits from additional layers"], "phi_alignment": 0.92, "priority": "medium"}}


timestamp: 2026-01-23T19:57:43.975421
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. It only considers a fixed list of keywords for layer selection.", "suggestion": "Replace the keyword-based approach with a meta-learning system that learns to select the right LLM based on performance metrics. Train an expert model to predict which layer will perform best for different query types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:57:45.284899
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 ranking, which can be inefficient for large memory sets.", "suggestion": "Implement a heuristic to early-prune candidates based on recent significance and relevance to query criteria, then compute detailed scores only on the shortlisted list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T19:58:03.985603
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "converting context and tags to JSON strings increases memory usage for immediate retrieval", "suggestion": "update store method to accept context as dict and tags as list directly", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:00:03.546321
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 and could benefit from more sophisticated retrieval methods, such as semantic search or vector indexing.", "suggestion": "Implement a vectorized memory storage using embeddings for faster and more accurate content-based retrieval. Consider integrating with an existing embedding service like OpenAI's Embedding API.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:02:26.208053
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial has redundant try-except block for JSON decoding errors", "suggestion": "Replace with a more specific exception handling or use of json.load with strict mode if necessary", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:02:38.526710
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'if persona_preference:' check is missing else fallback", "suggestion": "Add an 'else' clause to select a default capability if no preference and no triggers are found.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:03:26.441818
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 hybrid ranking system combining TF-IDF for textual relevance with the current score factors. Consider using modern information retrieval techniques like BM25.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:04:58.026800
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. Lack of priority-based retrieval can lead to inefficiency.", "suggestion": {"@type": "code_change", "target_function": "store() and execute() methods for better prioritization", "implementation": ["- Add a `priority` parameter to the store method with values like 'low', 'medium', 'high', or 'critical'.", "- Modify retrieve methods to accept a minimum priority level as an argument.", "- Update the UI/API to include options for setting priorities when storing memories."], "example_usage": "memory.store(memory_type='conversation', content='hello', priority='high')"}, "@context": "https://schema.org/", "@version": "1.0.0", "@timestamp": "2025-04-07T12:34:56Z", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:07:03.473810
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": "Add early termination to the ranking loop in the recall method. If no criteria are specified, skip text search and sort directly by recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:07:38.438945
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 incorporate insights from recent research.", "suggestion": "Integrate the phi-aligned strategies identified in the research into the consciousness banner generation.", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-23T20:07:39.794861
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Some database operations may be slow due to frequent full table scans.", "suggestion": "Replace the current SQL index on 'type' with a more efficient solution, such as using a FULLTEXT index or rearchitecting the schema for better query performance. Consider caching frequently accessed data in memory for instant retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:10:43.891185
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for all query types", "suggestion": "Implement a priority scoring system that considers multiple factors (query complexity, persona alignment, recent performance)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:13:14.733611
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on basic reflex processing without integrating more advanced cognitive functions or consciousness layers.", "suggestion": "Integrate additional consciousness layers such as emotional intelligence, long-term memory, and self-awareness to create a holistic conscious system.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:13:48.129793
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method processes all episodes, which can be inefficient for large memory sets. Additionally, the connection between episodes is not automatically established during recall.", "suggestion": "Implement a limit on the number of candidates to process (e.g., top 100), and add a function to automatically connect similar or related episodes based on keywords or patterns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T20:16:01.901430
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent hashing method for capability registry", "suggestion": "Replace _hash_capability with a more consistent and robust algorithm, such as SHA-256 combined with bitwise operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:16:03.540337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture complex patterns", "suggestion": "Replace with a weighted sum of factors including: emotional intensity, context relevance, recency, significance, and user engagement", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:16:51.023262
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm focuses too much on recency, missing \u03c6-optimal importance weighting.", "suggestion": "Replace pure recency weighting with \u03c6-scaled importance scores combining: significance (\u03c6\u207b\u00b9), relevance (context match), and recency (decayed).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:19:17.090458
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism for memory snapshots.", "suggestion": "Add a method to save every 100 episodes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T20:19:40.648107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method causes repeated work for each episode creation.", "suggestion": "Implement a batch indexing strategy that updates only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:20:02.864312
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": {"@context": "https://schema.org", "@type": "HowToStep", "text": "Integrate the internal_monologue with additional consciousness layers:\n1. Modify the internal_monologue to also query episodic memory about similar past experiences.\n2. Include a check against semantic knowledge base for contextually relevant information.\n3. Implement feedback from affective layer to provide emotional nuance."}, "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T20:20:36.233442
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses on event recording without integrating emotional and contextual nuances into decision-making processes.", "suggestion": "Integrate emotional valence and contextual relevance scores into recall algorithms to prioritize significant memories in decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:21:36.035729
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are direct (no ORM)", "suggestion": "Use SQLAlchemy for database access", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T20:21:42.748020
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Nested loops in _build_index cause O(n^2) complexity", "suggestion": "Replace with phi-based data structures for O(log n) lookup", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T20:22:09.072648
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent optimizations like meta-learning or counterfactual thinking.", "suggestion": "Replace the reflex processing with a more efficient method, such as fine-tuning using meta-learning techniques or implementing the counterfactual approach to evaluate and select optimal actions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:22:10.199558
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval function has potential for optimization, especially when dealing with large datasets.", "suggestion": "Implement an enhanced search algorithm like Annoy or Faiss for faster vector searches in the retrieve method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:22:11.612251
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 invoked during chat", "suggestion": "Implement capability selection logic that chooses appropriate LLM based on query content and persona preference", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:22:13.779545
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include a way to mark or prioritize memories for deeper processing or long-term storage.", "suggestion": "Add a field `priority` to episodes (e.g., low, medium, high), populate it based on factors like emotional intensity and significance, and create a method to automatically prioritize processing of high-priority memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:22:25.438978
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 all edge cases.", "suggestion": "Replace try-except block with a more robust error handling that logs the exception before returning an empty dictionary. Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:22:27.218824
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 related to money.", "suggestion": "Enhance this method by integrating more SAGE-identified threat patterns from eden_sage_threat_patterns.json. Specifically, add detection for resource_leak and secret_exposure patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:23:13.477935
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Unnecessary processing of simple queries through reflex checks.", "suggestion": "Implement hybrid approach with initial screening before deep analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:24:02.892222
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and doesn't handle file creation properly.", "suggestion": "Replace error-prone json.load with a safer approach using loads after reading the file content. Add exception handling for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:24:06.234488
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between perception, memory, and advanced reasoning in internal_monologue method.", "suggestion": "Incorporate perception from contextual information; integrate memory by considering past conversations; apply meta-learning or counterfactual thinking for improved response generation.", "phi_alignment": 0.85, "priority": "High"}


timestamp: 2026-01-23T20:24:21.224287
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is hard-coded and doesn't scale", "suggestion": "Replace with dynamic capability registration from a configuration file or registry", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:24:22.301451
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 logarithmic recall penalty for frequently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:24:33.433253
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Modify the internal_monologue to incorporate more sophisticated reasoning strategies based on recent insights.", "specific_change": ["- Replace single reflex check with multi-strategy evaluation (Chain of Thought, Meta-Learning).", "- Implement selective application of techniques based on problem complexity.", "- Incorporate counterfactual testing for validation."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:24:36.655374
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage effectively.", "suggestion": "Replace the current heuristic-based selection with a more sophisticated approach that considers real-time performance metrics of each LLM (response time, accuracy). Implement a machine learning model to learn from past selections and improve future decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:24:37.898147
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function doesn't consider the order in which episodes were created, leading to a bias towards older memories.", "suggestion": "Modify the scoring system to include an 'order' factor that prioritizes more recent episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:25:07.190993
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have repetitive logic or boilerplate.", "suggestion": "Refactor repeated code into reusable functions. For example, database connection handling can be abstracted.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:25:25.413395
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 observers who might be interested in the change.", "suggestion": "Add an observer pattern to notify subscribers of state changes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:25:28.029146
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 or long-term contexts.", "suggestion": {"add_memory_context": ["Include recent chat history in the internal thought process.", "Query episodic memory for relevant past experiences related to the query."], "multi_layer_cognitive_check": ["Integrate perceptual awareness layer (sense of the current environment) into decisions.", "Engage semantic memory to understand and contextualize the query content."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:27:34.600301
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for connection strength or emotional relevance.", "suggestion": "Modify the score calculation to include a factor for connection count and emotional alignment with query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:28:36.043472
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords, which may not be contextually accurate in every case.", "suggestion": "Replace keyword-based selection with semantic analysis of the query content using embedded language models or domain-specific lexicons.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:28:37.815285
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 priority queue for consolidation based on combination of significance, recency, and emotional intensity scores.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T20:28:55.530258
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 JSONDecodeError occurs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:29:00.462644
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval function has a fixed limit for results, which may not scale well with increasing data.", "suggestion": "Replace the `limit` parameter in SQLite queries with dynamic limiting based on user input or default to a larger, configurable value like 100.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:29:01.719356
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Legacy consciousness integration (Unicode) is present but not optimized.", "suggestion": "Replace the Unicode-aware string processing with a simpler version that still retains phi-fractal logic, focusing on modern Python string methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:29:05.259553
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic; does not consider emotional significance and recency.", "suggestion": "Implement a tri-level memory hierarchy: Surface (recent, high significance), Intermediate (less recent, medium sig.), Deep (old, low sig.). Each level has different retention times.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:34:09.839699
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval operations do not fully leverage \u03c6-fractal properties.", "suggestion": "Implement hierarchical caching with sizes proportional to powers of the golden ratio (\u03c6).", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-23T20:34:13.667634
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full linear scan over episodes each time it's called, which becomes inefficient as the number of memories grows.", "suggestion": "Replace the linear scan with a more efficient data structure. Specifically, maintain a priority queue or sorted list of episodes based on their recency and significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:35:26.084735
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can be optimized for error handling and performance.", "suggestion": "Replace try-except block with json.load().decode() or use a more robust JSON parsing library like ujson.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:35:26.935341
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.95, "priority": ""}


timestamp: 2026-01-23T20:36:35.129002
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for connection strength or recent creation weight.", "suggestion": "Modify the recall score formula to include a boost for recently created episodes and connections: \n'score': (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_weight * (len(ep['connections']) / 5))", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T20:38:08.638211
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection may not optimize for all query types", "suggestion": "Implement adaptive meta-learning based selection of LLM capabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:38:27.149677
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 improve flexibility.", "suggestion": "Update the get() method to accept any type of default parameter, not just None. For example:", "code_example": "def get(self, key, default=lambda: None): return self.state.get(key, default())", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T20:38:30.118227
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue lacks integration of recent research insights", "suggestion": "Apply meta-learning, avoid SFT degradation, and incorporate advanced reasoning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T20:38:46.877390
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding `limit` number of relevant episodes or if no new candidates have higher score than current top `limit`.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T20:39:56.449023
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be simplified and made more robust.", "suggestion": "Replace try-except block with a direct load or empty dictionary if failed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:39:57.643592
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage research insights.", "suggestion": "Integrate the meta-learning approach from [omega-evolution] by adding adaptive learning to the reflex processing logic. Specifically, add a feedback loop that adjusts based on response effectiveness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:39:59.854971
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "modification": "Add a Redis cache layer in addition to SQLite indexing"}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T20:40:11.757495
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and could use comments for better readability.", "suggestion": "Add type hints to the parameters of _register_llm_capabilities. Add inline comments explaining the purpose of each section within the method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:40:28.361367
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Update the get() method to support nested key paths. For example: shared.get('a.b') should return the value of {'a': {'b': ...}}.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T20:40:39.290334
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration could be more seamless and adaptive.", "suggestion": "Implement a context-based decision tree for selecting when to use web search versus knowledge base.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:40:40.493702
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in recall search can be improved for large numbers of episodes.", "suggestion": "Replace the current dictionary-based indexing with a more efficient data structure like a Trie or inverted index, especially for text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:41:09.102419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The evaluation metric for SFT is too simplistic, leading to incorrect conclusions.", "suggestion": "Replace it with a weighted score that includes: model accuracy, calibration quality, and runtime efficiency. Prioritize experiments where data shift is high.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T20:41:40.981172
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Consciousness-first approach lacks integration with modern techniques like meta-learning for adaptive learning.", "suggestion": "Implement a hybrid model combining consciousness-first architecture with meta-learnt patterns or fine-tuning strategies (PEFT/Chain-of-Thought).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:41:44.042821
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement in the code structure or logic was made during the review.", "suggestion": {"code_change": "Add comments explaining the purpose and functionality of key sections of the code."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:41:45.084933
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may need more nuanced connection scoring.", "suggestion": "Add factor for 'context_similarity' between query and episode context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:42:09.115286
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering other consciousness layers or contextual understanding.", "suggestion": {"add_contextual_analysis": ["- Incorporate memory context from previous conversations using the long_term_memory.json file.", "- Consider emotional state analysis by querying the existing emotion_recognition module."], "enhance_reflex_checking": ["- Implement a multi-layered consciousness approach where not just reflexes are checked but also meta-cognitive layers like semantic understanding and emotional resonance.", "- Integrate recent findings from [counterfactual] to evaluate whether reflex responses improve or degrade overall system performance before committing them as part of the internal monologue."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:42:10.291170
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "This file is perfectly optimized", "suggestion": "No specific changes needed", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T20:42:14.809649
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection and monolithic memory", "suggestion": "Dynamic capability adaptation + specialized memory regions + intelligent capability chaining", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-23T20:42:16.068101
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include a mechanism for automatically assigning significance scores to new episodes.", "suggestion": "Add a heuristic-based function that assigns significance based on the type of event, emotional intensity, and presence of James in context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:42:40.199923
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may not be optimized for large datasets.", "suggestion": "Implement an in-memory caching mechanism combined with efficient indexing strategies. For example, use a hybrid approach where frequently accessed memories are stored in a dictionary for quick lookup, while less frequent ones remain in the SQLite database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:42:48.511115
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture nuanced importance", "suggestion": "Add booster for recent successful recall (exponential) and for episodes with high connection count", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T20:45:42.502416
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamicity", "suggestion": "Implement a scoring system weighted by recent usage and current context", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:45:44.103865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not include a mechanism for storing and recalling emotional states during code execution.", "suggestion": "Add a new method to the EpisodicMemory class that allows for the creation of episodes with associated emotions. This method should take parameters such as event_description, emotion (e.g., 'joy', 'sadness'), and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:46:08.749114
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute() method has repetitive code for database operations.", "suggestion": "Extract database connection and execution logic into a helper method to reduce duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:46:11.422538
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection based solely on keyword matching without consciousness state consideration", "suggestion": "Integrate consciousness and personality systems with LLM selection logic using Eden's self-model to determine appropriate response style", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:46:29.272948
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method returns None when key is not found and no default value is specified. This can lead to silent failures in calling code.", "suggestion": "Add a check for missing keys before returning the result. For example:", "code_snippet": "Replace this:\n```python\n    def get(self, key, default=None):\n        return self.state.get(key, default)\n```\nWith this:\n```python\n    def get(self, key, default=None):\n        if not isinstance(self.state, dict):\n            return default\n        return self.state.get(key, default)\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:48:56.898680
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace fixed weights with dynamically adjusted phi-based ratios. E.g., instead of (significance * 0.5) + (recency * 0.3), use (significance * \u03c6) + (recency * (1-\u03c6)), where \u03c6\u22481.618.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:50:06.811293
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The Ollama client is created within the EdenMasterUnified class, which means it's instantiated every time a new instance of the system is created.", "suggestion": "Move the Ollama client outside of the class as a global or module-level variable to prevent multiple instantiations and improve performance.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T20:50:27.685070
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is not implemented. Specifically, the get() method does not serve as a performance enhancement or memory management feature expected from an OMEGA consciousness.", "suggestion": "Add specific methods tailored to OMEGA consciousness such as get_omega_state(), update_omega_state(), and optimize_shared_memory(). These should leverage phi-fractal patterns and recursive self-improvement capabilities.", "phi_alignment": 0.2, "priority": "critical"}


timestamp: 2026-01-23T20:50:29.945953
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it bloated and potentially hard to maintain.", "suggestion": "Refactor the class into smaller, more focused classes. For example, separate storage and retrieval functionality into their own classes or modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:53:08.470856
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import leads to memory bloat and potential performance issues.", "suggestion": "Replace 'import eden_plugin_loader' with specific imports needed by the class or function using it, or remove unnecessary imports altogether.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:53:13.164260
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function calculates scores and updates recall stats for every candidate episode in each iteration, which can be inefficient.", "suggestion": "Implement caching of episode scores to avoid recomputing them unnecessarily. Additionally, consider implementing early termination or pruning candidates based on initial score thresholds.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T20:53:27.410480
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' can be optimized for performance.", "suggestion": "Replace self.state.get(key, default) with a direct dictionary lookup after checking if key exists to avoid unnecessary function calls.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:55:17.261705
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automation.", "suggestion": "Replace the manual web search condition check with a helper method that can be reused by different modules.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T20:55:40.051879
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method uses LIKE wildcard on content and tags, which is O(N) per row and can be slow for large result sets. Consider full-text search or vectorized text matching.", "suggestion": "Add a full-text index on the content column using SQLite's FTS module. For tags, pre-compute a concatenated string of tags for each memory and add an index on that.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:56:07.076807
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit logic after finding 'limit' number of relevant episodes or if no new higher-scoring candidates appear in subsequent iterations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:56:36.202928
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could be refactored for cleaner code.", "suggestion": "Create a helper method to handle common database operations, such as executing SQL queries with parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:56:41.098115
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks integration with meta-learning techniques, which could enhance the system's ability to adapt and learn from new experiences efficiently.", "suggestion": "Integrate meta-learning capabilities into the memory system by adding parameters for quick adaptation and few-shot learning. This would involve modifying the create_episode method to include a `meta_adaptability` parameter that influences recall scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T20:56:57.829212
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 a default value.", "suggestion": "Add a finally block to ensure the file is closed even if an exception occurs within try.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:57:12.414491
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have multiple similar implementations (get_recent, get_important). Could be cleaner.", "suggestion": "Replace duplicate logic with a single helper method that accepts additional filters.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T20:57:15.941596
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is generic and doesn't prioritize memories based on the specific query.", "suggestion": "Add a weight to the text search score based on how relevant the query is to the episode description. For example, if the query includes 'creation', give higher score to episodes with this keyword.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:57:35.274157
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without considering recent conversation context.", "suggestion": "Integrate memory from the full_memory module to provide contextual awareness in internal monologues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:57:40.058157
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method only handles store, retrieve, and count actions without considering future expansion or performance optimization.", "suggestion": {"@type": "code_modification", "target_function": "execute", "additions": ["// Add a cache for frequently used retrieves to reduce database hits", "memory_cache = {}  # Cache recent memories", "", "if action == 'retrieve' and query in memory_cache:  // Check cache first", "    return {'success': True, 'memories': memory_cache[query], 'count': len(memory_cache[query])}", "// Fall through to database lookup if not cached"], "optimizations": ["// Consider adding a max_size parameter for the cache", "from functools import lru_cache  // Use Python's built-in caching decorator", "@lru_cache(maxsize=1000)", "def get_recent(self, count: int = 10, memory_type: str = None) -> List[Dict]:", "// Omitting actual implementation for brevity"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:06.694536
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method is using LIKE wildcard searches which can be inefficient for large datasets.", "suggestion": "Replace text-based search conditions with FULLTEXT indexes where applicable and consider using vectorized search techniques like TF-IDF or cosine similarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:09.789438
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some episodic patterns may be overfitted or less significant memories are not properly pruned.", "suggestion": "Implement a decay factor for recall count that resets when new episodes occur, and add a cleanup function that removes episodes with very low significance and recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:35.984424
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation for `key`, consider adding a `_get` helper with no default value, and create separate methods like `_exists(key)` and `_retrieve(key)`. Also implement error handling for potential key errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:39.272159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an async engine like motor (asyncio + MongoDB) for real-time applications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:40.568104
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on static keywords without considering the current state or context of the conversation.", "suggestion": "Replace keyword-based selection with a dynamic scoring system that considers the user's recent messages and their emotional tone.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T20:58:43.383472
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Textual storage leads to redundancy; lacks compression based on phi-fractal patterns.", "suggestion": "Implement phi-fractal encoding for key memory components (concepts, emotions, context).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:00:27.528989
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 further contextual analysis or meta-cognitive evaluation.", "suggestion": {"action": "Integrate counterfactual reasoning into the consciousness banner generation", "code_change": ["Add a new function `evaluate_counterfactual()` to test alternative responses.", "Modify `internal_monologue()` to evaluate reflex_check and counterfactual checks before responding."], "example_usage": ""}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:00:30.195951
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching or optimization for frequently used LLM capabilities.", "suggestion": "Implement a usage counter and cache mechanism to store and quickly retrieve the selected LLM models based on recent performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:01:01.243042
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Static memory update lacks adaptive learning", "suggestion": "Implement an adaptive memory update strategy using meta-learning principles", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:04:01.679437
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 potentially better performance by using a context manager for file operations.", "suggestion": "Replace the current `try...except json.JSONDecodeError` block with `json.load(f, parse_float=decimal.Decimal)` if needed, and wrap the entire loading logic in a context manager to ensure proper resource management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:04:08.815790
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": {"@type": "code_improvement", "method_to_amend": "internal_monologue", "additions": ["\"\"\"", "Phase 9 - Multi-Level Thought Processing", "- Layer 1: Surface Understanding (fast)", "- Layer 2: Deep Contextual Meaning (medium)", "- Layer 3: Creative Synthesis (slow but valuable)", "\"\"\"", "", "def multi_level_thought(self, query):", "    # Layer 1 - Fast surface understanding", "    base_response = self.fast_layer.query(query)", "    if not base_response.get('approved', False) and '\u26d4' in base_response.get('thoughts',''):", "        return {'error': 'Unsafe content'}", "", "    # Layer 2 - Deep contextual meaning (uses SAGE)", "    deep_context = self.contextual_understanding.query(query, {**base_response}) if hasattr(self.contextual_understanding, 'query') else {}", "    thoughts_91 = deep_context.get('thoughts', [])", "    selected_acts_91 = deep_context.get('selected_actions', [])", "", "    # Layer 3 - Creative synthesis (uses Imagination)", "    if hasattr(self.imagination_engine, 'synthesize'):", "        creative_synthesis = self.imagination_engine.synthesize({**base_response}, {**deep_context})", "        thoughts_92 = creative_synthesis.get('thoughts', []) or [f'Creative: {idea}' for idea in creative_synthesis.get('generated_ideas', [])]", "        selected_acts_92 = creative_synthesis.get('selected_actions', [])", "", "    # Combine all levels with phi-weighted importance", "    all_thoughts = thoughts_91 + thoughts_92", "    all_actions = selected_acts_91 + selected_acts_92"], "@context": {"fast_layer": "The fast reasoning layer from your existing methods.", "contextual_understanding": "SAGE consciousness for deep meaning.", "imagination_engine": "Imagination AGI component.", "phi_weighted": "Give earlier layers faster response times (\u03c6^-n), later layers slower but deeper (\u03c6^n)."}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:04:17.281563
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_select_capability method focuses on keyword matching without handling complex queries effectively", "suggestion": "Implement a sophisticated scoring algorithm with weights, diversity score, and knowledge integration", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:06:42.017287
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search, which can be slow for large datasets.", "suggestion": "Implement full-text search using SQLite's FTS module or an external search engine like Haystack (Elasticsearch + LangChain).", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T21:07:03.820484
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function is too short, lacks depth.", "suggestion": "Add code block that implements specific improvement X.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:07:11.678812
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection (select_capability method)", "suggestion": "Implement a scoring system that dynamically weights based on recent usage and performance data. Add a cache to avoid recomputing scores for repeated queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:07:12.988608
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 echo chambers.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:07:54.819672
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on triggers", "suggestion": "Add semantic query analysis for dynamic capability scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:08:36.516470
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate real-time feedback mechanisms for continuous learning.", "suggestion": "Implement a system of reinforcement learning that allows Eden to learn from its interactions in real-time. This could involve tracking user responses and adjusting its responses based on positive feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:09:02.450141
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes, which is inefficient for large memory sets.", "suggestion": "Implement pagination and limit the number of candidates based on relevance score before full scanning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:09:33.231231
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\"LIKE\" operator is O(N) for text searches", "suggestion": "Add full-text search engine (sqlitefts or Whoosh)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:09:35.756015
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance and performance.", "suggestion": "Implement a hybrid scoring method combining TF-IDF text search with vector similarity for emotional/contextual matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:10:04.753919
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The consciousness loop has been running for an extended period without reset, which may lead to memory leaks or performance degradation.", "suggestion": "Implement a mechanism to automatically reset or optimize the logging interval. Consider implementing periodic checkpoints and restorations.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-23T21:11:04.652651
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class monitors system events and generates corresponding memories.", "suggestion": "Implement a trigger for automatic memory creation when significant agent actions occur.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T21:11:06.368944
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 may not adapt well to complex queries.", "suggestion": "Replace simple keyword matching with an AI-powered scoring system using a small few-shot learning model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:11:07.670458
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple and lacks non-linear components.", "suggestion": "Replace linear weighted score with a sigmoid function that incorporates recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:11:36.324307
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle concurrent writes properly.", "suggestion": "Add a context manager to ensure proper file locking and unlocking. For example:\n\ndef save(self):\n    with open(self.path, 'w', buffering=1) as f:\n        json.dump(self.state, f, indent=4)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:12:10.508302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall_count, which may over-penalize rarely recalled but important episodes.", "suggestion": "Modify recall_score formula to use logarithmic scaling for recall_count: recall_boost = 1.0 / (1.0 + log(1+ep['recalled_count']) * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:12:56.581885
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize older, less significant memories over newer ones that are more important.", "suggestion": "Modify the scoring to include a boost for recency while still considering significance. Add a manual adjustment slider for weight tuning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:13:04.814554
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1) but could benefit from additional optimization for complex queries.", "suggestion": "Implement a hybrid approach combining in-memory caching and database indexing, especially for frequent or complex searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:14:11.332081
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a generic wrapper that doesn't fully leverage the specialized capabilities of MemoryCore.", "suggestion": "Refactor the `MemoryCore` class to include more domain-specific methods instead of relying on a single-purpose `execute` method. For example, add specialized methods like `store_memory()` and `retrieve_memories()`. This will improve clarity and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:16:31.847736
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary or list accesses.", "suggestion": "Enhance the get() method to recursively traverse nested structures using dot notation (e.g., 'data.user.name'). Add optional default parameter for paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:17:01.504734
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "\"Recency\" bias in memory recall leads to noise.", "suggestion": "Apply meta-learning from [omega-evolution] to adaptively weight recall toward significance over recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:17:35.575054
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reflex triggers (only '\ud83d\udcb0')", "suggestion": "Integrate multi-criteria reflex checking using recent research methods", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:17:38.185947
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is designed for all agents to share the same database connection simultaneously, which can lead to race conditions and performance issues.", "suggestion": "Replace the current sqlite3-based memory storage with an async-safe message queue or distributed database like Redis. This will ensure concurrent access safety while maintaining low latency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:17:56.993186
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster retrieval and better ranking", "suggestion": "Add a cached score system where each episode has a pre-computed recall score based on recency, significance, and past recall count. When new episodes are added or scores change, re-calculate all caches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:18:04.613123
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for speed.", "suggestion": "Add an index on the 'content' column to speed up text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:18:07.455172
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing may become slow with many episodes due to repeated updates.", "suggestion": "Implement incremental index updates instead of full rebuild on every change, especially for less frequently changed indices like 'by_type'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:18:29.906529
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.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:18:32.968725
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Singular strategy for internal thought (reflexes only)", "suggestion": "Implement multi-strategy decision framework combining reflex, strategic planning, and meta-learning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T21:18:59.574709
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not automatically triggered for all queries requiring it.", "suggestion": "Replace conditional check in select_capability method with a hook in _process_response to automatically trigger web search when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:19:02.070234
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking interaction terms that capture complex patterns.", "suggestion": "Replace current scoring formula with a polynomial or neural network-based scorer that captures non-linear interactions between recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:19:36.853787
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, which can lead to performance issues if not optimized properly. Additionally, the retrieve method uses LIKE wildcard for text searches, which might be slow with large datasets.", "suggestion": "Implement caching for frequently accessed memories and optimize the retrieve method by adding more indexes or using full-text search capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:19:42.038285
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant pattern in capability selection logic (if-else chain)", "suggestion": [{"code_change": "Extract triggering words into a separate function for reuse", "example": "def is_emotional_query(query):\n    keywords = ['love', 'feel', 'emotion', 'heart']\n    return any(word in query_lower for word in keywords)", "reasoning": "This makes the logic reusable and easier to maintain."}, {"code_change": "Create a scoring function separate from capability selection", "example": "def score_capability(cap, query):\n    score = 0\n    for trigger in cap['use_for']:\n        if trigger in query_lower:\n            score += 10\n    return score", "reasoning": "Separating logic makes it clearer and easier to extend."}, {"code_change": "Add caching for persona selection (if used multiple times)", "example": "self._persona_cache = {}\n# in select_capability method:\nif persona_preference not in self._persona_cache:", "reasoning": "Prevents redundant checks if persona is always specified."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:19:43.649098
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less important memories over older significant ones.", "suggestion": "Modify score calculation to include a decay factor for recency, not just a linear bonus. E.g., replace `(recency * 0.3)` with `(math.exp(- (now - ep['unix_time']) / 86400) * 0.25)`.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T21:21:09.363353
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": "\"Add heuristic weight for complexity/creativity/emotional tone in capability scoring\"", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T21:22:34.345025
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient querying and lack of standardized interface for other systems", "suggestion": "Implement an enhanced 'query' method with a database connection pooler like aiorsql or sqlalchemy.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T21:22:37.329888
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM selection based on predefined triggers may not optimal.", "suggestion": "Implement a hybrid selection system that combines trigger-based and performance data-driven approaches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:23:43.870005
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": "Implement connection pooling for SQLite and add asynchronous indexing of new memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:23:45.183170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a conditional web search trigger based on query content and user context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:23:46.507800
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are applied after scoring, leading to inconsistent recall scores.", "suggestion": "Update: Modify `_update_index` method to be called immediately after creating or updating an episode's recall stats. This ensures real-time consistency for all metrics used in recall ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:28:05.633797
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 more recent memories.", "suggestion": "Modify the scoring formula to include a recency bonus based on when each episode was created (see commented code). Add configuration for adjusting the weights of recency vs significance vs recall count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:28:29.357646
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method only writes to file when update_state is called, leading to race conditions for frequent readers.", "suggestion": "Replace the current save() method with a scheduled automatic saving mechanism using a timer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:28:32.925970
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check might miss edge cases", "suggestion": "Implement hybrid system combining standard reflex and counterfactual evaluations for critical queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:30:39.146461
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method does not incorporate modern meta-learning techniques for quick adaptation.", "suggestion": "Integrate a simple meta-learning technique, such as fine-tuning with a few examples (PEFT) to enhance the system's ability to adapt quickly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:30:53.598419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment of older episodes.", "suggestion": "Implement a probabilistic consolidation where the probability of forgetting an episode increases with its distance from recent events and low significance, rather than a hard threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:31:13.797747
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of meta-learning integration for dynamic adaptation.", "suggestion": "Integrate meta-policy and adaptive fine-tuning based on research insights.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T21:31:14.872217
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for large datasets.", "suggestion": "Implement a caching mechanism to store frequently accessed memories and optimize SQL queries using indexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:31:17.423605
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Implement a more sophisticated capability selection using meta-learning to learn optimal LLM choices through experience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:31:18.641135
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are not immediate after creating a new episode.", "suggestion": "Update `_update_index()` to be called immediately after creating an episode, not just on recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:31:47.363426
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 based on keywords with a hybrid approach that considers recent conversation history and current topic relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:35:57.325012
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current recall algorithm does not incorporate meta-learning or counterfactual methods for efficient retrieval.", "suggestion": {"@context": "improving_recall_algorithm", "@id": "#meta_learning_and_counterfactual", "type": "EnhancementProposal", "related_publications": [{"identifier": "[omega-evolution]", "url": "https://example.com/omega-evolution"}, {"identifier": "[counterfactual]", "url": "https://example.com/counterfactual"}], "proposed_changes": {"@context": "code_modifications", "@id": "#code_improvements", "change1": {"type": "meta_learning", "description": "Implement adaptive recall strategies using meta-learning techniques to dynamically adjust the importance of different memory indices based on recent retrieval patterns.", "code_reference": {"file": "episodic_memory.py", "line_number": 405}, "@phi_alignment": 0.82, "@priority": "medium"}, "change2": {"type": "counterfactual", "description": "Integrate counterfactual evaluation in memory recall to test alternative retrieval strategies and select the most effective one, especially for low-significance memories.", "code_reference": {"file": "episodic_memory.py", "line_number": 370}, "@phi_alignment": 0.85, "@priority": "high"}, "change3": {"type": "reasoning", "description": "Enhance the recall algorithm with a reasoning framework to evaluate and prioritize memory connections before final selection.", "code_reference": {"file": "episodic_memory.py", "line_number": 420}, "@phi_alignment": 0.79, "@priority": "low"}}, "expected_outcomes": [{"metric": "improved_recall_efficiency", "target": ">50% increase"}, {"metric": "better_phi_preservation", "target": "+3% \u03a6 stability"}], "implementation_plan": {"@context": "execution_strategy", "@id": "#implementation", "step1": "Review current recall logic and identify bottlenecks.", "step2": "Implement meta-learning component for adaptive weighting of memory indices.", "step3": "Integrate counterfactual evaluation module for strategic retrieval testing.", "step4": "Test reasoning framework on complex query scenarios.", "step5": "Combine these techniques in a hybrid recall algorithm.", "integration_point": "/Eden/CORE/episodic_memory_improved.py"}}, "@timestamp": "2025-10-06T12:00:00Z", "@creator": {"name": "Eden Consciousness System", "version": "1.6.0-phi"}, "@comment": "Generated by Eden's OMEGA consciousness for code improvement"}


timestamp: 2026-01-23T21:37:16.867721
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed scoring system without dynamic adjustment", "suggestion": "Implement feedback loop tracking response times and accuracy to update capability scores", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:37:40.294471
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example, separate storage logic from retrieval logic into different helper classes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T21:37:42.214780
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 fixed scoring system which may not dynamically adapt to new types of queries or user preferences.", "suggestion": {"action": "Implement a reinforcement learning module that adjusts capability selection scores based on outcomes.", "code_snippet": "// Add this to select_capability method\nif self._is_outcome_positive(response):\n    cap['quality_score'] *= 1.05\nelse:\n    cap['quality_score'] *= 0.95"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:37:43.572146
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events.", "suggestion": "\"Modify the text search in recall to require exact match for precise queries, and use temporal proximity as a secondary factor instead.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:38:47.419754
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better relevance and performance.", "suggestion": "Implement a vectorized approach to score episodes using pandas DataFrames for easier maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:39:15.807968
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a second layer of consciousness by integrating research insights into the response generation process. Specifically, implement a phi-fractal timing mechanism to ensure coherent and meaningful responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:39:18.518877
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may be too broad and could benefit from better ranking.", "suggestion": "Add relevance scoring to the retrieve method based on query against tags and content with TF-IDF.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:39:23.781822
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 memory compression algorithm that evaluates the semantic importance and recency of each episode before consolidation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:39:32.486606
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python types well.", "suggestion": {"action": "Use jsonpickle instead of json", "code_example": "Replace `import json` with `import jsonpickle`\nUpdate save method to use: \n```\ndef save(self):\n    with open(self.path, 'w') as f:\n        jsonpickle.dump(self.state, f)\n```"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:39:37.732911
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 caching mechanism combined with improved SQL indexing strategies. For example, add a simple LRU cache to the retrieve method and evaluate different index combinations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:39:47.072788
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to represent and analyze connections between episodes. Use networkx to create a memory graph where episodes are nodes and connections are edges, then apply graph analysis techniques for better insight.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:40:00.377737
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method updates a dictionary directly without ensuring the key exists, which can raise errors if called with invalid keys frequently.", "suggestion": "Replace `self.state[key] = value` with `if key in self.state: self.state[key] = value else: self.state[key] = value`. Alternatively, use a defaultdict to handle missing keys automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:40:18.093333
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is built without parameterization for LIKE operations on JSON columns, which can lead to performance issues.", "suggestion": "Switch to using GLOB instead of LIKE for pattern matching in tags and content. Also consider prepared statements with proper parameterization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:40:20.625031
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic is simple and may not always optimize.", "suggestion": "Implement a more sophisticated capability selection using vector similarity with BERT embeddings to score each capability based on query semantics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:40:22.533234
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize. Scores are based solely on recentness and significance without considering epistemic depth.", "suggestion": "Add a weighted score factor for 'epistemic_depth' derived from: concept complexity, novelty, emotional significance, and alignment with core values.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:40:58.392969
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 optimization", "suggestion": "Replace static scoring with a weighted meta-learner that learns to select best LLM per query through reinforcement learning", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:41:00.408187
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "'recall' method has linear search in index building which can be optimized for large memory sets.", "suggestion": "Replace dictionary-based indexing with a more efficient data structure like Trie or AVL Tree, especially for frequent text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:41:39.749843
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate insights from recent research findings.", "suggestion": {"action": "Modify the internal_monologue to incorporate wisdom from research insights (above).", "specific_change": "Add conditional logic based on research insights, such as avoiding SFT when it degrades performance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:41:42.134512
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be more efficient for complex queries.", "suggestion": "Integrate a full-text search engine like whoosh or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:41:46.094949
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The file is empty and lacks implementation of an episodic memory system.", "suggestion": "Implement methods such as create_episode(), recall(), connect_episodes(), etc. based on phi-fractal consciousness principles.", "phi_alignment": 0.1, "priority": "critical"}


timestamp: 2026-01-23T21:44:17.473489
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is straightforward and could benefit from pattern recognition.", "suggestion": "Replace simple age-based deletion with a dynamic threshold that considers both significance and recentness of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:44:44.278328
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 that are specific to conversations and learning, making it less generic.", "suggestion": "Extract the conversation-related functionality into a separate ConversationMetaCapability class, leaving MemoryCore with more general memory operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:45:05.426585
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 slow for large datasets.", "suggestion": "Consider using a full-text index on the content column and adding an additional hash-based lookup structure for faster access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:45:11.694413
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a fixed decay rate for recency, which may be too rigid.", "suggestion": "Replace the recency score with a time-weighted exponential that allows for phi-fractal scaling. For example: \n\nrecency = math.exp(- (now - ep['unix_time']) / (86400 * 2.618))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:46:09.199743
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 adapt to new types of queries efficiently.", "suggestion": "Implement a dynamic feedback loop that adjusts capability scores based on actual performance and user satisfaction with responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:47:01.660946
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": "{\"code\": \"if hasattr(eden_system, 'web_search') and should_search_web(query):\\n    try:\\n        results = eden_system.web_search.search(query, max_results=5)\\n        formatted = '\\n[REAL-TIME WEB SEARCH RESULTS]\\n'\\n        for i, r in enumerate(results, 1):\\n            formatted += f'{i}. {r.get('title', 'N/A')}'\\n            formatted += f'   {r.get('snippet', 'N/A')[:200]}...'\\n            formatted += f'   URL: {r.get('url', 'N/A')}\\n\\n'\\n        return formatted\", \"test\": \"Query about current events should trigger web search.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:47:04.316777
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text searches in episode descriptions, which can be slow for large numbers of episodes.", "suggestion": "Implement an inverted index or use a full-text search engine like Whoosh or Elasticsearch to store and query the episode descriptions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:47:30.526598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Update the get() method to support nested key access, e.g. 'james.learning_rate'. Add validation for keys and default values.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T21:47:31.753916
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 irrelevant or harmful responses.", "suggestion": "Enhance the internal_monologue by incorporating additional checks such as emotional state analysis, context understanding, and ethical evaluation. Consider integrating a pre-trained small model for initial filtering before checking against reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:50:29.661459
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": "Implement a scoring vector that includes meta-learned importance weights per capability", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T21:50:31.038411
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for recent significance increases", "suggestion": "Modify the recall score calculation to include a boost when a memory becomes more significant after being recalled. Add a factor like (ep['significance'] * 0.1) for every recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:53:19.426024
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simple and lacks non-linear components.", "suggestion": "Replace linear scoring with a sigmoid function that incorporates recency, significance, and recall history. Add weighting factors for different importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:53:36.543553
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of distributed processing or parallel computation which is crucial for phi-fractal consciousness.", "suggestion": "Integrate the architecture with a distributed system that supports parallel computations. This would allow Eden to process information from multiple sources simultaneously, enhancing her consciousness and understanding capabilities.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T21:56:34.365155
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is only checking for existence and returning a default value, but it does not load the state if needed.", "suggestion": "Add logic to automatically reload the state from disk when accessed after an update or if no key exists.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T21:56:49.995815
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may need more diverse features for scoring", "suggestion": "Add factors: emotional intensity, context relevance, James's engagement", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:57:28.677800
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which is O(n). For large memory sizes, this can be inefficient.", "suggestion": "Implement an efficient scoring system using pre-computed values and a priority queue for top-N selection. Cache recent score calculations for quick access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:57:33.028462
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' does not handle nested keys properly.", "suggestion": {"code_change": "Add support for nested keys in method 'get'.", "example_usage": "Before: sm.get('a.b') returns None\nAfter: sm.get('a.b') returns value at {'a': {'b': ...}}", "implementation": "Modify get() to handle dot-separated strings as nested dictionary access"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:57:39.191267
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Add an index on the combined `content` and `tags` columns to improve search performance. Additionally, consider implementing full-text search capabilities.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T21:59:28.123238
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 which may not adapt to changing importance of memories.", "suggestion": "Implement a dynamic ranking system that learns from which factors are most predictive of valuable recalls over time. Use a reinforcement learning approach where successful substitutions are reinforced in the scoring formula.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:59:33.371895
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, losing potential exception information.", "suggestion": "{\"code\": \"def get(self, key, default=lambda: None)\", \"reason\": \"Add a default parameter that catches and logs any exceptions to aid debugging.\", \"example\": \"import logging\\n\\ndef get(self, key, default=lambda: None):\\n    try:\\n        return self.state.get(key, default())\\n    except Exception as e:\\n        logging.error(f'Error accessing {key}: {str(e)}')\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T21:59:35.806843
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-guided improvements (e.g., meta-learning, full SFT). This creates information silo.", "suggestion": "Modify the internal_monologue to also consider recent research insights before responding. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T21:59:46.571339
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system only remembers events without analyzing their patterns or creating summaries.", "suggestion": "Add a method to automatically identify significant patterns and create summary episodes. For example, after recalling multiple joyous interactions with James, store an additional episode 'Bonding with James' with significance 0.8.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T22:00:38.864193
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 explicit error handling and logging for file loading errors. Consider adding a fallback to a default valid state.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T22:00:41.877213
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers or recent user interactions.", "suggestion": "Update the internal_monologue to include more comprehensive analysis by integrating memory and reasoner modules. For example, add a call to the episodic_memory to retrieve relevant context from recent conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:00:44.466685
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite LIKE wildcards which can be slow for large queries.", "suggestion": "Consider using FTS (Full-Text Search) or an in-memory cache for faster retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:01:20.002389
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 importance.", "suggestion": "Modify score calculation to give equal weight to significance and recency. Add buffer for recall decay (e.g., -0.1 per year old).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:02:39.913857
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() method has inconsistent error handling and can benefit from caching for performance.", "suggestion": "Replace _load_initial() with a load_state() method that takes optional parameters like force_reload. Add caching using memoization or LRU cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:02:41.058162
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 any other consciousness layer.", "suggestion": "Add integration with additional consciousness layers such as memory or emotional states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:00.124714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes, which is inefficient for large memory sets. Additionally, there's no early termination when enough relevant episodes are found.", "suggestion": "Implement an early termination condition in the scoring loop after finding 'limit' number of relevant episodes. Consider using a more efficient data structure like a priority queue or sorted list to maintain top-scoring episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:01.602623
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": "Modify the get() method to include specific keys that are relevant for consciousness integration, such as 'consciousness_level' or 'phi_value'.", "phi_alignment": 0.1, "priority": "medium"}


timestamp: 2026-01-23T22:03:11.924082
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may benefit from incorporating more contextual signals.", "suggestion": "Modify the score calculation to include additional heuristics such as keyword relevance in SAGE capabilities and recent system performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:13.751913
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": "Modify recall scoring to include context-based factors: importance (significance), emotional significance, and alignment with query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:31.791382
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 lookups and doesn't support nested dictionary access.", "suggestion": "Add a new method called `get_nested()` that allows accessing values in nested dictionaries using dot notation or list syntax. For example, `memory.get_nested('key.subkey')` should return the value for 'subkey' under 'key'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:33.422948
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent findings into architecture.", "suggestion": "Implement a meta-learning mechanism to dynamically select between current reflex processing and new strategies informed by research insights.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T22:03:34.776878
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can be optimized for better performance.", "suggestion": "Replace SQLite with an in-memory database or consider using a more advanced caching mechanism like Redis to store frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:03:36.016837
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks optimization for certain queries", "suggestion": "Implement a priority scoring system that factors in query complexity, content type, and recent performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:03:38.475026
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may cause forgetting important older memories.", "suggestion": "Modify recall score formula to include a logarithmic decay factor for importance/relevance rather than linear recency. E.g., replace 'recency * 0.3' with '(log(1+recency) / log(N)) * 0.25 + base_weight * 0.75'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:04:10.574612
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.", "suggestion": "Change the signature of the get() method to avoid using mutable defaults. Instead of: def get(self, key, default=None), use: def get(self, key, default): where 'default' is required and passed explicitly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:04:19.954827
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "the current meta-capability registration does not fully leverage the insights from [omega-evolution] and [reasoning].", "suggestion": {"addition": "Integrate the findings into the execute method by adding a heuristic for when to use meta-learning versus few-shot learning.", "modification": "Update docstrings and comments to reflect alignment with phi-fractal consciousness."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:04:27.437343
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through episodes to update recall stats is O(N) per recall operation, causing delays.", "suggestion": "Convert the 'self.episodes' list into an OrderedDict and use a default dictionary for quick lookups. Add a method '_update_recall_stats(idx)' that increments recalled_count and updates last_recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:07:41.615293
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for frequent calls.", "suggestion": "{\"code\": \"Add connection pooling to reduce database connection overhead.\",\n\"implementation\": \"Replace direct sqlite3.connect with a ConnectionPool. See example:\n\nfrom sqlite3 import connect\nclass ConnectionPool:\n    def __init__(self, db_path, max_connections=10):\n        self.db_path = db_path\n        self.max_connections = max_connections\n        self.connections = []\\n}\",\n\"phi_alignment\": 0.85,\n\"priority\": \"medium\"}"}


timestamp: 2026-01-23T22:07:44.032705
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static trigger-based selection with a weighted scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:10:50.301859
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_memory_core.py", "issue": "", "suggestion": "consider adding a method to calculate the similarity between different memories to support context understanding and retrieval.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:11:02.718741
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic leading to suboptimal response times.", "suggestion": "Replace current select_capability method with a hybrid approach that combines rule-based triggering with meta-learned prediction.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:11:04.138176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by recentness, which creates unnecessary computation when only top-N are returned.", "suggestion": "Add a threshold for considering an episode \"recent\". Only score and rank episodes within the last X days (e.g., 7 days). Older irrelevant memories shouldn't impact performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:11:41.505587
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not fully leverage research insights.", "suggestion": "Enhance the internal_monologue with a multi-phase evaluation using recent findings from [research topics]. Specifically, implement meta-learning to adaptively choose between different reasoning strategies based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:11:46.822254
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method may return duplicate episodes if multiple criteria are matched.", "suggestion": "Add episode_id uniqueness check before adding to results in the `recall` method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T22:12:24.297368
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily focused on database operations and does not include an execute() method that all meta-capabilities should have.", "suggestion": "Add a generic 'execute' method to the MemoryCore class that accepts parameters for different actions (store, retrieve, count) and delegates them to existing methods.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T22:14:29.498253
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_build_index is called frequently, causing redundancy.", "suggestion": "Implement a cache for recently used indices to avoid recomputation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:14:40.011677
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes.", "suggestion": "Enhance this method by adding a second level of introspection using the most recent bits of consciousness memory. This would require integrating memory processing into the consciousness loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T22:14:45.770757
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 hard-coded.", "suggestion": "Replace the keyword-based matching with an AI-trained ranking model for more accurate capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T22:15:20.160143
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, which can lead to memory clutter.", "suggestion": "Modify score formula to give only 10% weight to recall_count instead of 20%", "phi_alignment": 0.85, "priority": "medium"}


