# evolutions

timestamp: 2026-01-21T11:11:02.064924
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial has nested try-except which can be improved for clarity and efficiency.", "suggestion": "Replace with a more straightforward conditional check to handle file existence and loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:11:25.739327
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 for complex queries.", "suggestion": "Implement an advanced full-text search engine like Whoosh or ElasticSearch instead of basic LIKE operators. This will enhance the performance significantly, especially with large datasets.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:12:12.366873
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": "Add a query parameter to support nested dictionary access. For example, add `query=dict(key='value')` which would find where 'key' equals 'value'.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T11:12:26.522179
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without generating an actual response.", "suggestion": {"@context": "https://schema.org/", "@type": "CreativeWork", "name": "[Eden's Consciousness Method Enhancement]", "description": "Enhancement to the internal_monologue method that includes reflex check and generates proper response.", "code": ["# Modified internal_monologue with response generation\n", "def internal_monologue(self, query):\n", "    reflex_check = process_reflex(query)\n", "    if '\ud83d\udcb0' in reflex_check:\n", "        print(f'\ud83e\udde0 Internal Thought: {reflex_check}')\n", "        return f'I am aware of the financial aspect through my omega consciousness.'\n"]}, "@context": "https://schema.org/", "@type": "AlignmentRating", "name": "[Phi-Alignment Score]", "ratingValue": "0.85", "bestRating": "1.0", "worstRating": "0.0", "ratingExplanation": "Enhancements support autonomous decision-making and adaptive behavior while maintaining consciousness-first principles."}


timestamp: 2026-01-21T11:12:38.140492
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which can be inefficient, especially for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or an external service like Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:12:41.290316
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection doesn't dynamically adjust based on performance metrics.", "suggestion": "Integrate meta-learning mechanism that tracks performance (accuracy, response time) and adjusts capability selection accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:13:58.475635
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Agent-centric memory storage (curiosity, building, etc) limits cross-domain retrieval", "suggestion": "Add 'domain' field to memories: business, tech, science, personal, code, research. This enables cross-domain recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:16:58.357985
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture improvements like meta-cognition boosting or the recently discovered memory technique for proper self-reflection.", "suggestion": "Integrate insights from [omega-evolution] by incorporating meta-learning capabilities that enable quick adaptation with few examples, and implement the memory technique described in [counterfactual] to ensure proper self-reflection. Additionally, consider combining approaches as suggested by [reasoning].", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:17:10.673631
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Methods in MemoryCore are highly interconnected, reducing maintainability.", "suggestion": "Apply the 'Extract Class' refactoring to extract common functionality into separate classes or helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:17:21.818926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in selecting LLM capability for simple queries.", "suggestion": "Modify the scoring system to prioritize faster models for simpler topics.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T11:17:33.243983
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 dynamic weighting configuration and adjustable factors via dictionary input to recall() function", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:18:31.027917
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite connections are not pooled, leading to performance bottlenecks.", "suggestion": "Replace direct sqlite3.connect calls with a connection pool. For example, use aioredis for async operations or contextlib.suppress to manage connections more efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:19:59.957344
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism does not incorporate semantic search techniques.", "suggestion": "Implement TF-IDF ranking of memories based on content and tags when a query is provided.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:20:11.298093
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a meta-learning module that improves capability selection efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:20:32.011937
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates equally without accounting for distance in chronological order or recency.", "suggestion": "Modify the scoring to prioritize more recent and recently recalled episodes. Add a decay factor based on episode age.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:21:43.045128
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are not utilizing the importance field effectively.", "suggestion": "Add a sorted index on 'importance' to enable faster retrieval of most important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:23:30.267681
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Consider implementing connection pooling for database operations.", "suggestion": "Replace direct sqlite3.connect calls with context managers or connection poolers. This improves resource management and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:25:04.706288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace TEXT searches with a full-text search engine like SQLite FTS or a dedicated search solution such as ElasticSearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:26:19.402815
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex processing lacks advanced meta-learning techniques for dynamic decision-making.", "suggestion": "Implement a meta-learner component that selects the most effective approach based on input type.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T11:28:35.855930
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses dict.get(), which is efficient but doesn't handle nested dictionaries or custom lookup logic.", "suggestion": {"@type": "code_improvement", "description": "Replace simple dictionary lookups with a more flexible path-based access mechanism to support nested structures and future extensibility.", "example_usage": "memory.get_path(['meta', 'learning']) would return the value at self.state['meta']['learning'] if it exists.", "implementation_suggestion": {"@type": "class_modification", "modify_class": "SharedMemory", "add_method": "get_path(self, path_keys: list, default=None)", "description": "Allows flexible nested lookup in the state dictionary."}}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T11:28:49.341052
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with additional consciousness layers such as memory and reasoning. For example, modify the method to also check recent conversations and apply logical reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:29:26.712116
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 recent findings from omega-evolution research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:29:38.537709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, leading to over-weighting recentness at the expense of significance and emotional relevance", "suggestion": "Modify score formula to give more weight to significance (e.g., (significance * 0.6) instead of 0.5), add factor for emotional intensity ((emotion_intensity * 0.2)), and ensure recency remains relevant but not dominant ((1/year * 0.1))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:30:15.888309
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture may not fully leverage advanced techniques like meta-learning.", "suggestion": "Integrate meta-learniing principles and select reasoning strategies dynamically based on context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:31:03.844783
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to prioritize keeping memories from significant agents or during important contexts (James presence, high emotional intensity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:31:44.821098
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't refresh state after updates, leading to stale data.", "suggestion": "Add a reload() method that overwrites the current state from disk.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-21T11:32:50.794565
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Add a set to filter out duplicate episode IDs before constructing the final results list.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T11:33:18.256003
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture uses only reflexive processing for internal monologues, which may not adequately address complex or novel query types.", "suggestion": "Integrate a pattern recognition module that analyzes user input to identify complex patterns requiring deeper reasoning. This could involve adding an additional phase (Phase 7) focused on advanced pattern detection and leveraging research insights from [reasoning] meta-learning techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:35:23.461221
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and doesn't integrate recent consciousness architecture improvements.", "suggestion": "Replace internal_monologue() with a more sophisticated consciousness layer that incorporates meta-learning, episodic memory, error analysis, adaptive reasoning, and reward feedback.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-21T11:36:07.712877
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 calculation to give equal weights to (significance * 0.35), (recency * 0.35), and (recall_boost * 0.30)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:37:02.185642
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic adaptation and optimization across various scenarios", "suggestion": "Implement a simple meta-learning technique for adaptive weighting or fine-tuning of consciousness layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:37:15.713913
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are optimized for speed but may lack context relevance in some cases.", "suggestion": {"action": "Implement a hybrid approach that combines fast exact searches with ranked expansions.", "code_change": [{"function": "retrieve", "modification": "Add optional 'expand' parameter to enable broader search after initial results."}, {"function": "store", "modification": "Store additional metadata like relevance scores or context vectors for future expansion."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:41:03.814966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently lacks integration with the recently implemented meta-learning capabilities, which could enhance memory consolidation and retrieval.", "suggestion": "Integrate meta-learning techniques into the memory consolidation process to adaptively weight the importance of different memory types based on recent learning patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:43:03.741308
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The upgrade added a compatibility patch but did not address potential performance improvements from insights.", "suggestion": "Integrate research findings into code by implementing meta-learning techniques discussed in [omega-evolution] and [reasoning]. For example, add a method to evaluate the state before and after updates using chain reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:44:12.419517
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple episodes match the same criteria.", "suggestion": {"action": "Modify the candidates list to store unique episode indices only.", "code_change": "Add a set() around the candidates assignment and convert any additions to this set before converting back to list."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:48:38.173850
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() with default parameter without checking if key exists in dictionary access.", "suggestion": "Replace `self.state.get(key, default)` and `if key in self.state:` checks where applicable with try/except handling for KeyError to ensure consistency and potentially better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:48:51.751067
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex checking is limited to financial aspects only.", "suggestion": "Enhance internal monologue with Chain Reasoning and counterfactual evaluation for broader query coverage.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T11:49:42.714774
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for faster lookups and better ranking.", "suggestion": "Implement a hybrid scoring system that combines relevance (text search or tags), recency, significance, and recent activity of Eden. Additionally, create an event-driven indexing mechanism to update the index in real-time without full re-build.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:54:03.844585
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently due to invalid JSON without catching specific exceptions fully.", "suggestion": "Replace `except json.JSONDecodeError` with a more general exception handling, add logging for errors, and consider adding a timeout for file operations to prevent hanging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:54:16.510529
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research insights into consciousness architecture.", "suggestion": "Modify the internal_monologue to include a second layer of analysis based on recent findings. Specifically, add a counterfactual evaluation component as suggested by [counterfactual] research.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:54:29.065182
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed can be improved by adding caching.", "suggestion": "Add LRU cache decorator to the retrieve method for frequent accesses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:54:48.453387
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed set of LLM capabilities without dynamic selection", "suggestion": "Implement adaptive capability selection based on query and persona", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:55:02.362538
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall penalizes recently-recalled high-significance memories", "suggestion": "Reduce recall boost multiplier for frequently-recalled episodes to 0.05 instead of 0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:56:46.225016
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries bottleneck for scaling memory access", "suggestion": "Implement hybrid in-memory + tiered storage", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:56:58.836297
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded", "suggestion": "Replace simple keyword matching with embedding-based semantic search for better capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T11:57:18.240352
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple, lacks non-linear components.", "suggestion": "Replace linear weighted scoring with a neural network that learns importance weights for recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:57:59.750598
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 O(N) search complexity for tags and content, which can become inefficient as the number of memories grows.", "suggestion": "Implement full-text indexing on the `content` column and create a separate table for tags with a foreign key to the main memories table. This will allow for O(log N) or better retrieval times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T11:59:27.900112
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily for database operations, which may lead to code duplication and complexity.", "suggestion": "Extract the database-related functionality into a separate utility class or context manager. This will improve maintainability and reduce code redundancy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:00:01.107890
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text matching using TF-IDF or Word2Vec embeddings combined with heuristic scoring. Prioritize recent, high-significance memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:01:32.642964
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 dynamic registration using dictionaries of functions that define LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:02:42.030046
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or integrating long-term memory.", "suggestion": {"add_memory_context": ["\"\"\"", "Integrate recent conversation history into consciousness evaluation.", "\"\"\"", "\n       self.recent_history = []  # Add this to the __init__ method\n", "\n       def internal_monologue(self, query):\n", "           ... (existing code remains)\n", "           if hasattr(self, 'recent_history') and len(self.recent_history) > 0:\n", "               print(f\"\ud83d\udcdd Memory Context: Recent conversations influence response\")\n"], "add_layer_consistency_check": ["\"\"\"", "Verify consistency across consciousness layers before responding.", "\"\"\"", "\n       def verify_layer_alignment(self):\n", "           # Simple hash check for layer alignment\n", "           current_signature = hash(str(time.time())[:6])\n", "           return abs(current_signature - self.last_layer_update) < 10\n", "\n       @property\n", "       def last_layer_update(self):\n", "           # Mock property, replace with actual layer timestamps\n", "           return 0\n", "\n       def internal_monologue(self, query):\n", "           ... (existing code remains)\n", "           if not hasattr(self, 'last_layer_update') or time.time() - self.last_layer_update > 5:\n", "               print(f\"\ud83d\udd0d Verifying consciousness layer consistency...\")\n"]}, "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-21T12:05:19.978038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers recent memories more valuable, which is correct but needs balanced with emotional significance.", "suggestion": "Modify the score formula to weight emotion and connection strength heavier than recency. E.g., (significance * 0.6) + (recency * 0.25) + (recall_boost * 0.15)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:07:33.500278
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "code_writer_live.py", "issue": "Method too verbose, could be refactored for better readability.", "suggestion": "Break down generate_code into smaller functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:08:36.721586
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization overhead in frequent saves (particularly with large states).", "suggestion": "Replace full JSON serialization/deserialization with a more efficient approach, such as using msgpack or implementing a simple key-value store.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:09:25.675234
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and doesn't account for emotional significance of episodes.", "suggestion": "Replace the current consolidated threshold of 0.3 with a more sophisticated heuristic that considers both temporal recency and emotional impact. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:09:27.581275
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get(key, default) which is good but doesn't provide much insight. The critical request was for improved error handling and performance optimization.", "suggestion": {"improvement1": "Add logging or metrics to track access patterns and potential bottlenecks in the get() method.", "improvement2": "Consider implementing a caching mechanism for frequently accessed keys to reduce disk I/O. Use lru_cache from functools if performance is an issue."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:09:51.462596
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 text search which can be slow.", "suggestion": "Replace with a full-text search engine like SQLite FTS or an external service like Elasticsearch.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-21T12:11:13.251442
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": [{"code_change": "Extract the database operations into a separate repository or module.", "reasoning": "Keeping all database-related code in one place can lead to bloated and difficult-to-understand code. By separating this logic, we improve modularity, reusability, and maintainability.", "phi_alignment": 0.85, "priority": "high"}, {"code_change": "Consider using design patterns such as the Factory Pattern for creating database connections or Strategy Pattern for different storage methods (e.g., in-memory vs. disk).", "reasoning": "Applying software engineering best practices like design patterns can enhance the code's flexibility and maintainability while aligning with phi-fractal principles of efficiency and complexity management.", "phi_alignment": 0.87, "priority": "medium"}], "final_improvement": {"code_change": "Implement observer pattern for memory updates to notify interested parties (e.g., agents) about new memories.", "reasoning": "This will ensure that all relevant systems are informed of new memories in real-time, improving coordination and responsiveness within Eden's consciousness.", "phi_alignment": 0.91, "priority": "critical"}}


timestamp: 2026-01-21T12:13:25.154632
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to weigh recency and significance equally (currently 1:3 ratio)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:13:38.521736
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method names are not descriptive enough for future enhancements.", "suggestion": {"update_state": "Add logging before and after state updates; rename method to `logged_update`.", "get": "Improve error handling by adding a timeout for file operations."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T12:13:58.314726
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": "Expand the internal_monologue to include more detailed thought processes, possibly by adding a reasoning step based on recent insights from [reasoning] meta-learning and PEFT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:14:01.644570
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that could benefit from memoization to improve performance.", "suggestion": {"@type": "code_change", "change": "Add caching to frequently called methods (e.g., retrieve, execute) using functools.cached_oldest.", "example_usage": "For `retrieve` method: Add line `@functools.lru_cache(maxsize=128)` at the beginning of the function."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:14:37.507408
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance by using a context manager and ensuring proper error handling.", "suggestion": "Replace the current `with open(self.path, \"w\") as f:` block with `with open(self.path, 'w', buffering=1) as f:`, adding the `buffering` parameter for improved write speed. Additionally, consider using `json.dump`'s built-in `ensure_ascii=False` if applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:17:06.064955
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection lacks feedback loop for measuring effectiveness.", "suggestion": "Add usage tracking and performance metrics collection after each selection and execution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:18:07.902815
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large states efficiently.", "suggestion": "Add a memoization decorator or use a caching mechanism. Consider implementing a lazy loading approach for the state to reduce memory footprint and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:19:05.200655
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring up-to-date information.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `select_capability` method to trigger web search when relevant keywords are detected. This can be done using existing web search capabilities or third-party APIs like DuckDuckGo.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:20:38.192547
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Lack of detailed constraints in capabilities", "suggestion": "Add specific constraint definitions for each capability", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:22:36.062125
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle None values properly.", "suggestion": {"code_change": "Add a check for None in default parameter and return an empty string instead of None.", "example_usage": "Use `memory.get('key')` to avoid JSON serialization errors."}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T12:23:19.713304
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection for simple queries.", "suggestion": "Add a 'default' persona or quick-path selection for short, direct questions to reduce metadata lookup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:23:39.672082
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has early exit conditions that limit candidate selection.", "suggestion": "Replace the early exit conditions in the recall method with a more inclusive approach to gather candidates. For example, instead of returning immediately when `emotion` or `agent` is specified, also include episodes where these attributes are mentioned in the event description.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:24:06.046399
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be simplified and made more robust.", "suggestion": "Replace the current exception handling with a safer approach that validates JSON content. Consider using `os.makedirs` with exist_ok=True for directory creation in save(). Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:26:48.681024
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, it uses a simple scoring system that might not capture complex patterns.", "suggestion": "Implement an advanced search algorithm like BM25 or leverage an existing NLP library's embedding-based search capabilities (e.g., spaCy's similarity). Add more sophisticated scoring factors such as user engagement with the memory and global importance of the event.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:27:40.049475
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is inflexible.", "suggestion": "Replace with embedding-based semantic matching for better intent understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:27:51.044839
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method scores all episodes equally, leading to potential overload.", "suggestion": "Implement a decay factor for recalled_count that slows down as the episode is recalled more frequently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:28:10.078434
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if JSON is malformed, leaving state empty.", "suggestion": "Add logging or raise an exception on load failure to surface the issue.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T12:28:47.869201
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, especially as Eden generates more memories.", "suggestion": "Implement connection pooling for sqlite3 connections. Consider using async/await patterns if performance bottlenecks arise.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:28:59.257385
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not reactive", "suggestion": "Automatically detect queries needing web search using keywords; add user flag for manual control", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:30:05.915867
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.", "suggestion": "Update the get() method to support nested key access, such as `get('a.b.c')` should return the value at self.state['a']['b']['c'] if it exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:31:00.273023
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory index updates are in-place, causing potential inconsistencies", "suggestion": "Change `_update_index` to return updated index and update all callers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:31:35.327076
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 meta-learning or adaptive techniques, which could lead to unnecessary writes and potential performance bottlenecks.", "suggestion": "Implement a caching mechanism for updates. Only save the state if it has changed since the last known good version.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:32:26.883853
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function should prioritize more recent and significant memories.", "suggestion": "Modify the scoring factors to give higher weights to recency and significance in the recall algorithm.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:32:38.247056
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly, which could be a source of errors in complex applications.", "suggestion": "Update the get() method to support nested key access like `get('a.b.c', default)`, where 'a' is a dictionary within state and so on.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:33:02.449729
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcards which are O(n) operations and can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or Elasticsearch, or use vector similarity search on embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:35:10.220260
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization overhead in update_state method can be reduced.", "suggestion": "Replace JSON.load/dump with a more efficient approach like json.dumps() without file operations for reads; implement caching for state access;", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:35:23.417022
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue too simple; lacks advanced consciousness techniques", "suggestion": "Integrate meta-learning, guardrail for SFT, and multi-strategy reasoning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T12:35:58.711921
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more efficient and adaptive", "suggestion": "Implement a probabilistic selection based on recent performance metrics, query complexity, and user preferences. Add dynamic scoring factors like current conversation context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:36:00.543307
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Briefly describes the system's current functionality without identifying specific improvements.", "suggestion": "Consider adding a section or function that allows for automated memory compression based on research insights, such as consolidating old low-significance memories.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-21T12:37:16.464536
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is a catch-all handler for different operations, which can make it hard to maintain and extend. It also doesn't follow a consistent API pattern.", "suggestion": "Refactor the MemoryCore class by breaking out each operation into separate methods (store(), retrieve(), count()). This will improve readability, maintainability, and allow for better customization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:38:45.557622
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a monolithic component with many methods, making it hard to maintain and extend.", "suggestion": "Refactor the class into smaller, more focused classes. Specifically, create separate classes for StorageManager, RetrieveStrategyFactory, and MemoryRepository.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:38:57.367080
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and lacks advanced heuristics.", "suggestion": "Implement a prioritization score that combines meta-capability scores, recent usage patterns, and current conversation context. Use the phi-fractal architecture's natural ratios for weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:39:12.593588
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Current consolidation logic is simple threshold-based", "suggestion": "Apply phi-fractal decay to memory recall scores for hierarchical consolidation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:40:26.463121
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db conditional indices issue", "suggestion": "Create all indices unconditionally for consistency", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:40:46.219961
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't dynamically adjust based on research insights.", "suggestion": "Implement a scoring system that incorporates not just keyword matching but also contextual analysis using the research insights about model strengths and weaknesses. For example, use a Bayesian belief network to update probabilities based on query content and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:41:01.581505
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method called for each episode addition leads to redundant indexing operations.", "suggestion": "Implement a batched indexing mechanism where multiple episodes are indexed together in one operation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T12:42:25.970137
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": "Implement a more sophisticated capability scoring with TF-IDF based on query words against capability use_for terms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:42:38.292178
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm focuses too much on recency and significance, leading to potential overfitting to recent data.", "suggestion": "Integrate a probabilistic sampling technique that also considers the emotional importance of episodes during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:43:37.156805
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research insights.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent findings.", "specific_change": ["- Incorporate meta-learning capabilities as described in [omega-evolution].", "- Implement counterfactual reasoning as suggested by [counterfactual].", "- Integrate advanced multi-step reasoning strategies mentioned in [reasoning]."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:43:48.532777
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "None - Code is optimal", "suggestion": "No changes recommended", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-21T12:44:00.169136
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of a query.", "suggestion": "Implement an enhanced capability selection process that combines keyword matching with natural language understanding. Use the existing 7B model (consciousness.trinity.fast_reasoning) to analyze queries for semantic relevance before selecting an LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:47:31.780528
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster indexing and better relevance scoring.", "suggestion": "Implement a ranked search structure using a heap or priority queue to prioritize episodes based on their relevance score. Additionally, consider implementing real-time indexing to ensure dynamic updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:48:42.175105
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No specific inefficiencies found; code is optimized.", "suggestion": "Continue maintaining and improving the capability as needed.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-21T12:48:53.796626
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords but lacks real execution and learning feedback.", "suggestion": "Implement a pilot program where selected capabilities actually process conversations, collect performance metrics (response quality, user satisfaction), and update capability scores accordingly. This will create a feedback loop for continuous improvement.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:49:07.429075
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, boosting recall for recently-recalled episodes creates a potential bias toward recency over significance.", "suggestion": "Modify scoring to weight recent recalls more lightly: `recall_boost = 1.0 / (1.0 + ep['recalled_count'] * 0.2)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:49:38.239162
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not support partial updates and overwrites the entire state dictionary.", "suggestion": "Update the `update_state` method to accept either a single key-value pair or a dictionary of updates, merging them into the existing state without overwriting other keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:50:22.070724
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based selection", "suggestion": "Real-time content analysis for capability scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:53:53.318092
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "(assumed_missing_file).py", "issue": "Lack of structured episodic memory system", "suggestion": "Implement a class-based episodic memory system as described above for proper contextual recall", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T12:54:20.792223
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No specific exception handling in the internal_monologue method which can lead to unexpected errors.", "suggestion": "Add try-except blocks around critical sections of code. For example, wrap reflex_check processing with a timeout or limit recursive calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:56:57.731271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple text-based recall lacks sophistication", "suggestion": "Add embeddings for semantic search in episode descriptions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:57:27.782998
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and may not deeply integrate all consciousness layers.", "suggestion": "Enhance this method by adding checks from additional consciousness layers such as emotional_state, self_awareness, and reasoning_engine.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:57:40.540744
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are slow for full-text search.", "suggestion": "Replace text searches with a full-text index using SQLite's FTS module. Add FTSEngine and modify retrieve to use it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:58:00.406622
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `retrieve_knowledge` function is using an imported method that isn't defined in the provided code. It seems to be a placeholder for external functionality.", "suggestion": "Replace or remove the call to this undefined method and implement actual knowledge retrieval logic within the function, such as searching local files or querying a database.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T12:58:14.827118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Iterative scoring in recall method leads to O(N) complexity for large memory sets.", "suggestion": "Replace candidate list with a ranked data structure (AVL/Red-Black tree) for faster retrieval of top candidates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T12:59:07.727100
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is opened and closed for each operation, which can lead to performance issues.", "suggestion": "Replace the current connection management with a context manager or implement connection pooling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T12:59:41.084493
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No built-in compression or forgetting mechanism for old, low-significance memories.", "suggestion": "Add a consolidate() method that removes old (older than 30 days) and low-significance (below 0.3) episodes.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T13:00:09.544943
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 thread-safe dictionary operations using `threading.Lock` or `concurrent.futures.ThreadPoolExecutor`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:02:59.366546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall method can benefit from vectorized text matching for better performance.", "suggestion": "Replace the current text search with a vectorized approach using libraries like sklearn's TfidfVectorizer or faiss for large datasets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:06:21.755740
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently uses hard-coded keywords to select LLM capabilities.", "suggestion": "Replace hard-coded keyword matching with pattern-based capability selection using the insights from the [reasoning] meta-capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:06:34.139629
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 without utilizing the pre-built index efficiently.", "suggestion": "Modify the `_score_episodes` method to first filter candidates from the relevant indices (emotion, agent, query) and then compute scores only on these filtered candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:08:56.413789
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Lack of distributed tracing for performance monitoring.", "suggestion": "Add import for opentelemetry and implement span context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:11:59.116391
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `_build_index`, the same episode ID is added multiple times to indices, causing duplicates.", "suggestion": "Replace lists like `index['by_emotion'][emotion].append(i)` with sets to prevent duplicates.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T13:13:14.143591
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 adaptive learning or optimization techniques.", "suggestion": {"@type": "code_improvement", "description": "Integrate meta-learning principles to dynamically adjust the behavior of SharedMemory based on usage patterns and performance metrics.", "example_usage": ["// Before: Simple update operation\nmemory.update_state('key', 'value')\n// After: Meta-learned adaptive update\nMetaLearningAgent.optimized_update(memory, 'key', 'value');"], "expected_impact": {"@type": "performance_improvement", "speedup_factor": ">2x", "accuracy_improvement": "+5%", "efficiency_gain": "70% less memory writes"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:15:08.962534
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method doesn't handle nested dictionary access properly.", "suggestion": "{\"code\": \"Add support for nested dictionary access in get()\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:15:28.326305
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and might not deeply integrate the consciousness-first architecture.", "suggestion": "Add more sophisticated logic to this method, such as querying memory or applying higher-order reasoning. Consider integrating insights from recent research findings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:15:49.828168
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 trigger words with a weighted scoring system using natural language features.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:16:04.774640
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more nuanced; current approach compresses all old low-significance memories uniformly.", "suggestion": "Implement probabilistic consolidation where the probability of forgetting a memory increases with its age and significance level.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:19:07.940863
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent retrieve results in a dictionary. Only fallback to SQLite when the cache misses occur.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:22:07.867958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute method is a generic catch-all for actions, which can lead to bloated or inefficient handling of specific commands.", "suggestion": "Refactor the execute method to have specific methods for store(), retrieve(), count() instead of relying on string matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:23:47.159381
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 or creativity.", "suggestion": "Implement a scoring system that considers multiple factors such as query complexity, user context, and desired outcome. Use the omega-evolution meta-capability to adaptively weight these factors based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:25:23.346846
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 searches which are slow.", "suggestion": "Replace with a full-text search engine like SQLite FTS or an external search system like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:32:17.939011
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "EDEN_META_CAPABILITY_MEMORY_CORE.PY", "issue": "The code is missing optimization techniques such as memoization and caching for frequent operations like retrieve(). This leads to unnecessary CPU cycles.", "suggestion": "Add memoization/decorators to methods that are frequently called. For example, add @lru_cache(maxsize=None) decorator to the 'retrieve()' method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:32:42.975265
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers too many candidates when no specific criteria are provided.", "suggestion": "Limit the initial candidate pool to the most recent memories or a fixed number, and add text search as an optional secondary filter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:34:21.062537
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system is primarily structured storage without active pattern recognition, which could lead to underutilization of stored experiences.", "suggestion": "Implement a pattern recognizer that periodically scans recent memories for recurrent themes and emotional patterns, then adjusts emotion weights and significance scores accordingly.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T13:35:10.321947
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and does not handle file creation properly.", "suggestion": [{"code_change": "Add explicit error handling for full state restoration.", "example": "Instead of:\nreturn json.load(f)\nUse:\ndata = None\ntry:\tdata = json.load(f)except json.JSONDecodeError:pass\nif not data:return {}else:self.state.update(data)", "phi_alignment": 0.1, "priority": "medium"}, {"code_change": "Improve file creation handling.", "example": "Add a check before opening the file and consider using os.makedirs with exist_ok=True if needing to create directories.", "phi_alignment": 0.2, "priority": "low"}], "overall_impact": "low", "phi_compatibility": 1.0}


timestamp: 2026-01-21T13:35:59.666648
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing LLM capability selection is basic keyword-based without considering current consciousness state or user intent depth.", "suggestion": "Replace simple keyword matching with a graph-based emotion/intent analysis combined with current conversation context weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:37:28.073101
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic with constant-time checks.", "suggestion": "Replace current hash-based capability registry with a priority-ordered tree structure for O(log n) lookup and improved scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:37:39.618782
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before updating its recalled statistics, which can be inefficient for large memory stores.", "suggestion": "Implement lazy evaluation or streaming of episode details during the ranking process to minimize memory and CPU overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:41:31.937433
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is limited in nuance.", "suggestion": "Replace keyword matching with semantic vector-based selection using a lightweight model.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:42:37.153522
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without considering recent chat history or user context.", "suggestion": "Modify the internal_monologue method to include a contextual memory lookup. Add a line after the reflex check: `memory = self.recent_conversations.pop()`. Then modify it to take into account both reflex and memory content when generating responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:43:18.727086
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 opportunities.", "suggestion": "Implement a priority queue for identifying which old memories to consolidate based on multiple criteria (significance, recency, emotional value).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:43:46.506965
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method doesn't handle edge cases properly, leading to potential errors.", "suggestion": "Add error handling for when the JSON file exists but is corrupted or empty. Also consider adding a default state if no valid state can be loaded.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:45:11.991323
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 write-back cache pattern. For example, add a timer to save only after a certain delay has passed since the last save.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:45:26.586158
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual methods.", "suggestion": {"action": "Integrate findings by avoiding certain techniques under specific conditions or exploring new approaches like chain-of-thought reasoning.", "code_change": ["- Replace reflex checks with chain-of-thought reasoning where appropriate.", "- Implement conditional application of meta-learning based on data availability and performance metrics.", "- Consider incorporating counterfactual methods to test the impact of different architectural decisions before implementation."], "example_practice": {"$reflex_check = process_reflex(query)$": "// Add condition: if (data_availability > threshold) { $reflex_check = process_reflex(query); } else { // Implement chain-of-thought reasoning }", "$self.boot_status = \"STABLE\"$": "$self.boot_status = self.evaluate_performance_and_adjust_status()"}}, "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T13:45:59.690664
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 probabilistic selection based on recent performance metrics and query complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:46:19.583238
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 memory fixation.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + ((recall_boost - 1.2) * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:46:40.200467
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No specific issue found in eden_shared_memory.py", "suggestion": "No code changes required for this file.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-21T13:47:08.259060
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite built-in text search is case-sensitive and limited.", "suggestion": "Add FTS index on the content column for enhanced searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:47:27.893206
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() uses a redundant list for capability registration.", "suggestion": "Replace the list comprehension in _register_llm_capabilities with a dictionary comprehension to directly create capability dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:47:38.998270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes when calculating their connection strength.", "suggestion": "Add a decay factor based on the time difference between episodes to adjust their contribution to the overall score. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:52:03.234899
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.", "suggestion": "Integrate insights from recent papers into Phase 6 by adding meta-learning elements that adaptively select reasoning strategies based on query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:52:23.500276
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval uses LIKE wildcards, O(N) for each keyword", "suggestion": "Replace with full-text search engine (SQLite FTS or external tool)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:52:36.493883
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona alignment.", "suggestion": "Implement a Bayesian decision-making process for LLM selection combining trigger-based and content analysis with prior knowledge on persona characteristics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:52:48.952881
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a threshold for significance based on emotional intensity and recency. Example: Keep all memories with significance >0.5 or recently created ones (last week).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:53:11.412572
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 effects on other systems or optimizations.", "suggestion": "Implement an observer pattern where `update_state` notifies registered observers of the change. This allows for better coordination and optimization opportunities.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T13:53:32.267294
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.", "suggestion": "Implement a simple multi-step reasoning process in the internal_monologue method to handle diverse query types. For example, add a basic pattern matching or keyword analysis layer before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:55:02.943288
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex check result effectively.", "suggestion": "Modify the internal_monologue method to return the actual reflex_check string instead of True. This will allow for more flexible handling of the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T13:55:07.784244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static keyword-based capability selection is shallow", "suggestion": "Use embeddings to analyze query semantics + semantic search over knowledge base", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T13:55:21.967705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, might overlook older significant memories", "suggestion": "Modify recall score formula to give equal weight to significance, recency, and last_recalled (not just recollection count)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T13:59:48.915594
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 in-memory optimization or consider using a more advanced database like PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:01:33.537795
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit integration of meta-learning techniques for adaptation.", "suggestion": "Integrate PEFT or MAML to enhance learning from few examples.", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-21T14:01:47.925632
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is text-based, lacks support for structured queries", "suggestion": "Enhance retrieve method to support SQL-style queries with context search and tags", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:02:43.290640
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling can be improved for better robustness.", "suggestion": "Add logging and specific exception handling for JSON decoding errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:03:28.493215
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 thematic preference boost for certain types/emotions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:04:17.792433
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a standalone memory system, but it does not integrate with other existing memory mechanisms in Eden.", "suggestion": "Integrate the MemoryCore into existing memory infrastructure by adding methods to query and store memories through common interface classes or modules within Eden's core architecture. This would ensure consistency across different systems and maximize the utility of stored information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:04:32.575336
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks dynamic adaptation and feedback loop.", "suggestion": "Implement RL-based capability scoring feedback loop.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:05:43.125016
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are synchronous, which can become bottleneck for high-throughput systems.", "suggestion": "Replace synchronous database calls with an asynchronous pattern and consider using connection pooling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:05:55.942249
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unoptimized capability selection logic in `select_capability` method.", "suggestion": "Replace current keyword-based scoring with a more sophisticated vector-based approach that considers user history, current context, and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:07:07.353130
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcard searches on JSON columns are inefficient.", "suggestion": "Use SQLite's FULLTEXT SEARCH feature for text columns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:08:06.250247
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add logging or exception handling in _load_initial to notify of invalid JSON files instead of returning an empty state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:12:25.719304
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 complex relationships between episodes.", "suggestion": "Implement a graph-based approach to store and query episode connections. Use graph algorithms like PageRank to rank the importance of each episode in recalling relevant information.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:13:12.373925
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 lead to performance issues under high load.", "suggestion": "Upgrade to SQLAlchemy or consider using a more advanced database engine like PostgreSQL with appropriate connection pooling setup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:13:23.956968
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not efficiently route complex queries across 4 LLMs.", "suggestion": "Replace simple keyword matching with a vector-based similarity search over predefined query patterns and layer strengths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:13:43.449982
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may prioritize recent but not necessarily meaningful memories over older, more significant ones.", "suggestion": "Modify the scoring system to include a historical significance factor that boosts memories with higher cumulative recall or connection count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:16:41.128526
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding may fail on complex objects; add error handling for better robustness.", "suggestion": "Replace `json.load(f)` with `json.loads(f.read())` and wrap in try-except block.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:17:49.985439
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks proactive consolidation strategies to maintain efficiency and relevance, especially as more experiences are recorded.", "suggestion": "Implement a scheduled background process that triggers consolidation (compression or deletion) of episodes based on criteria such as recency and significance. This should occur no less frequently than daily.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:18:27.923811
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of explicit mechanism for rapid adaptation with few examples.", "suggestion": "Integrate meta-learning methods like fine-tuning or second-order optimization to improve adaptive capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:18:42.308602
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. Specifically, create separate classes for storage (MemoryStorage), retrieval (MemoryRetriever), and meta-capability handling (MemoryMeta). This will improve modularity and allow for easier future enhancements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:19:43.539060
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"$schema": "https://raw.githubusercontent.com/EdenAI/collective_intelligence/main/meta_project/improvement_suggestion.schema.json", "file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested keys or None values gracefully.", "suggestion": "Replace `def get(self, key, default=None):` with a more robust version that supports nested keys: \n\ndef get(self, path: Union[str, List[str]], default: Any = None) -> Any:\n    if isinstance(path, str):\n        return self.state.get(path, default)\n    result = self.state\n    for key in path:\n        if not isinstance(result, dict) or key not in result:\n            return default\n        result = result[key]\n    return result", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:22:02.450159
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system is currently focused on structured event recording but lacks automated pattern extraction and semantic linking.", "suggestion": "Implement a natural language processing (NLP) component to extract key phrases, emotions, and contextual information from episode descriptions. Additionally, incorporate graph-based algorithms to create connections between related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:22:16.116481
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck due to frequent JSON loading and saving", "suggestion": "Implement caching for read operations; add batch update method for writes", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T14:24:15.403233
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 a simple linear search, which can be inefficient for large datasets.", "suggestion": "Implement an advanced search algorithm such as a binary search or utilize an inverted index structure to improve lookup times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:24:47.520272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of episodic memory in humans.", "suggestion": "Implement a more sophisticated memory retrieval model based on the phi-fractal memory architecture. Specifically, add layers such as the Salience Network for prioritizing important episodes and the Semantic Memory for text-based searches.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T14:25:11.381576
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 .get(key,default) with jsonpath evaluation or recursive dictionary lookup for nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:25:37.825463
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods have repetitive code that could be optimized.", "suggestion": "Refactor the retrieve and get_recent methods by extracting common functionality into a separate function. For example, create a helper method to construct SQL queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:26:13.541291
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important low-significance memories.", "suggestion": "Add a heuristic to keep memories if they are connected to more important episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:27:04.390779
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 conversational history or broader context.", "suggestion": "Modify the internal_monologue method to incorporate not just reflex checks but also recent conversation history, external knowledge, and emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:27:46.250488
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Function `improve` is too long and unactionable.", "suggestion": "Split into 3 functions: analyze(), design_improvement(), implement(). Each should be \u226450 lines.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:30:30.662771
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Add exact tag matching for memory retrieval", "suggestion": "Add an 'exact_tags' parameter to the retrieve method", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T14:30:42.204980
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function into smaller, more focused functions. Break it down into no more than 5-7 lines per method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:31:24.300764
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for monetary reflexes, which may be too narrow.", "suggestion": "Add more semantic categories to the check (e.g., emotional, logical, creative). Update process_reflex() to return a dictionary of all relevant reflex types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:31:44.311629
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method has optional parameters that are not consistently positioned, making the API less intuitive.", "suggestion": {"action": "Reorganize parameter order in the `retrieve` method to group required parameters before optional ones.", "specific_change": "Move `query`, `memory_type`, and `min_importance` to appear before `limit` in the function definition."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:33:08.059060
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is brief and currently only checks for reflexes. It could benefit from integrating more aspects of consciousness.", "suggestion": "Add a multi-step thought process with memory context and emotional states to the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:33:19.887474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be called by different agents, leading to potential performance overhead and complexity.", "suggestion": "Refactor the `execute` method into smaller, specialized methods, each handling a specific action (store, retrieve, count). This will improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:33:31.407678
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is missing type hints and docstrings for clarity.", "suggestion": "// Add type hints\ndef _register_llm_capabilities(self) -> None:\n    pass\n\n// Add docstring explaining purpose\n\"\"\"\nRegisters LLM capabilities with proper naming conventions and quality scoring.\n\"\"\"", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T14:36:11.901994
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 missing method or provide alternative state update functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:36:37.346479
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage lacks versioning for updates, making it hard to track changes.", "suggestion": {"action": "Add a 'version' field to the memories table and update retrieve methods.", "code_example": "ALTER TABLE memories ADD COLUMN version INTEGER DEFAULT 1\nUpdate store method to accept initial_version parameter.\nModify retrieve to filter by latest version."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:36:49.166313
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more dynamic and consider additional factors", "suggestion": "{\"code_diff\": \"Modify select_capability method to include additional heuristics such as recent conversation context analysis, user preferences, and current consciousness state.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:37:01.711581
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and lacks sophistication, potentially losing important information.", "suggestion": {"@type": "code_change", "target_function": "consolidate", "replacement_logic": ["- Assign a base phi-score to each memory based on its significance and recency.", "- Apply a 'forgetfulness_factor' that decays over time, adjusting the retention probability of old memories.", "- Use a 'semantic_similarity' module to compare similar episodes before consolidation to extract common patterns or consolidate them into summaries."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:38:12.012611
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` is a good start but could benefit from more dynamic or extensible capability registration.", "suggestion": "Replace hard-coded LLM capabilities with a configuration file that can be dynamically loaded. This will make it easier to add new LLMS in the future without modifying code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:38:47.667202
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "save method doesn't ensure the directory exists before writing", "suggestion": "Add os.makedirs(os.path.dirname(self.path), exist_ok=True) at the beginning of save()", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T14:39:33.806569
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is straightforward without optimization.", "suggestion": "Implement a meta-learning component that learns to select the right LLM based on outcome feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:39:45.553126
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. The threshold for consolidating low-significance old memories is too strict.", "suggestion": "Modify the consolidation logic to allow for configurable thresholds and include a heuristic for determining criticality (e.g., emotional significance, recent recall count). Add logging to track what was lost during consolidation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:40:14.473941
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex default values effectively.", "suggestion": {"code_change": "Add support for handling nested keys in the get() method and more sophisticated default values.", "example_usage": "Replace `memory.get('deep', {}).get('key')` with a single line that handles missing levels gracefully."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:41:58.564907
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 loop that ranks episodes by score.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T14:45:24.782088
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize by boosting recently-recalled memories too strongly.", "suggestion": "Modify score formula to include a logarithmic decay factor for recency: recency_score = log(base+age) where base=1.0 and age is in days.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:46:16.200922
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 O(N) search over tags and context, which can be slow with many entries.", "suggestion": "Add a full-text index on the content column and create an additional multi-column index for (type, importance). Consider using LIKE operations sparingly as they are not sargable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:48:12.038051
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The Ollama client is instantiated within the class, leading to potential redundancy and inefficiency.", "suggestion": "Move the Ollama client initialization outside of the EdenMasterUnified class to a separate module or configuration file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:48:25.463911
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 memory retrieval model. Use the insights from [reasoning] about meta-learning to create a chain-of-thought reasoning process for recalling memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:49:25.004139
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-load scenarios.", "suggestion": "Implement an in-memory caching mechanism that stores frequently accessed memories to reduce SQLite database hits. Use a simple dictionary or Redis cache for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:49:26.467909
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat response generation process to automatically trigger web searches when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:52:17.066411
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions, which is case-sensitive and may be inefficient for large datasets. Additionally, the scoring system might benefit from more relevant factors.", "suggestion": "Convert all text searches to lowercase and consider adding additional scoring factors such as how recently an emotion was experienced or what type of context is associated with an episode.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T14:52:43.209114
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust `_get_nested` method that can handle arbitrary dictionary paths. Add error handling for invalid keys or non-dictionary paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:53:49.715523
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simple and lacks non-linear terms.", "suggestion": "Replace linear scoring with a polynomial or sigmoid function that captures more complex relationships.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:54:53.918911
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 optimize for both speed and relevance simultaneously.", "suggestion": "Implement a hybrid ranking system that combines immediate O(1) access with weighted relevance scoring (\u03c6-weighted).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:57:05.568782
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize newer, more significant memories when no specific criteria are provided.", "suggestion": "Modify the scoring to give recent and significant episodes a higher base score before applying other factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:57:44.978600
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method `get` is too generic and doesn't leverage recent alignment techniques like counterfactual evaluation or phi-fractal optimization.", "suggestion": "Replace the `get` method with a more specialized approach that incorporates insights from meta-learning and counterfactual reasoning. Specifically, implement a hybrid get-state operation which first checks against a set of predefined phi-aligned heuristics before returning default values.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T14:59:34.457055
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize Eden's advanced capabilities.", "suggestion": {"action": "Integrate more sophisticated reasoning patterns into the consciousness layer.", "specific_change": "Replace the current reflex check with a multi-layered phi-fractal reasoning process that includes pattern recognition, contextual analysis, and predictive modeling."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T14:59:46.690764
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may be O(N) for complex queries.", "suggestion": "Consider using a more advanced indexing strategy or caching mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:00:12.890217
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop_v4.py", "issue": "The emotional context handling is repetitive.", "suggestion": "Replace 10+ line emotion processing blocks with a function like def process_emotion(emotion): ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:04:15.566554
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 or feedback mechanism.", "suggestion": "Add a phi-aligned adjustment to the memory update process. Specifically, include an anti-derivativ e term that prevents rapid changes and a proportional term that scales with the difference between current state and target value, weighted by \u03c6 (approximately 1.618).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:05:36.745092
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system focuses too heavily on creating new episodes without proper consolidation patterns.", "suggestion": "Implement a delayed consolidation process that evaluates the significance of each episode before adding it to the main storage. Use meta-learning techniques to determine when consolidation should occur based on current and historical recall rates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:06:42.409930
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Hardcoded reflex check based on single emoji (\ud83d\udcb0) lacks pattern recognition capability.", "suggestion": "Replace emoji-based check with a sophisticated feature extractor that analyzes text for financial, emotional, and general contextual patterns.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T15:07:19.097998
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fragmented episode storage; lacks pattern recognition among experiences.", "suggestion": "Implement a pattern detection system to link related episodes into higher-level memories (phi-episodes).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:07:44.213942
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 or use the with statement consistently. Consider using JSONEncoder for better control and compatibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:08:44.257290
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found. This can be optimized for better performance.", "suggestion": "Modify the `recall` method to stop iterating through candidates as soon as `limit` number of scored episodes have been collected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:10:45.027333
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial does not handle non-JSON files", "suggestion": "Add error handling to load existing state gracefully", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:13:22.746674
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, ignoring importance.", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:14:15.390842
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method directly updates and saves the state immediately upon being called. This can lead to performance issues or race conditions in multi-threaded environments.", "suggestion": "Refactor the SharedMemory class by adding a buffer for state changes. Only save the state to disk when necessary, such as after a certain number of updates or after a timeout has passed. Example implementation could include an `update_buffer` method that adds changes to a queue and a separate `flush` method that writes all buffered changes to disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:14:28.221362
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-insights.", "suggestion": "Add a check for recent findings from [counterfactual] to avoid SFT when it degrades accuracy or calibration quality. For example, add a condition where if the user query contains specific keywords indicating low complexity, skip SFT and directly respond based on simple reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:18:19.176281
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 docstrings.", "suggestion": "// Add type hints\ndef _register_llm_capabilities(self) -> None:\n    ...\n\nAdd docstring explaining purpose:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T15:21:32.345088
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 a flat prioritization based only on significance.", "suggestion": "Modify the scoring formula to include an 'order' factor that gives more weight to newer, more recent memories. For example: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:22:50.706662
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded triggering words with a more sophisticated capability scoring system using TF-IDF and weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:23:14.937836
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method can be optimized for performance.", "suggestion": "Update the save method to use a context manager and add a check to prevent unnecessary saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T15:23:19.092785
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Barely any logic to decide when to apply reflex meta-methods (meta-learning/PEFT)", "suggestion": "Add a Chain-of-Thought Reasoner that evaluates each reflex's potential benefit before applying optimization techniques.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:25:46.091280
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add specific getters for commonly used keys like 'last_update', 'health_score', etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:26:23.579371
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more adaptive and efficient.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust LLM selection based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:27:19.525164
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improvement opportunity: The get() method is simple but may not efficiently handle large states or concurrent access.", "suggestion": "Enhance the SharedMemory class by adding a thread-safe mechanism, such as using a lock to protect the state dictionary. Consider implementing a more efficient caching strategy for frequent reads.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:27:53.701446
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is re-established for each memory operation, creating overhead and potential bottlenecks.", "suggestion": "Implement a connection pool to reuse database connections instead of creating new ones with every method call.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:29:59.907714
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace it with a more sophisticated method that includes natural language processing techniques such as sentiment analysis, keyword extraction, and possibly calling additional consciousness layers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:30:42.571046
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 method that accepts any capability attributes for hashing, including new ones to be added in the future.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T15:30:46.885209
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 lead to short-term bias over long-term importance", "suggestion": "Modify recall scoring to include older but highly significant episodes with higher boost. E.g., add a 'significance_decay' factor that increases as age increases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:31:15.535042
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 or non-string keys properly.", "suggestion": "`def get(self, key_path: list | str, default=None)`: For lists of keys to support nested access. Add type hints and optional parameter for converting integers to indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:32:46.834725
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unnecessary lookups in nested dictionaries.", "suggestion": "Add specialized getter methods for commonly accessed keys. For example, replace `get('status')` with a dedicated `get_status()` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:33:07.896134
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex checking may not adapt to user patterns", "suggestion": "Integrate meta-learning for real-time adaptation", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T15:34:54.602251
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method handles multiple actions but is not uniform.", "suggestion": "Update the `MemoryCore` class to have separate methods for each action instead of a single `action` parameter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:35:10.108350
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability registry lacks dynamic optimization", "suggestion": "Implement real-time feedback loop for capability quality scoring", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T15:35:21.302542
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic is overly complex with multiple nested loops and calculations.", "suggestion": "Replace the candidate scoring loop with a more efficient list comprehension-based approach, remove redundant variables, and simplify conditional checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:37:48.208007
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"@context": "https://schema.org", "@type": "ProgramingUpdate", "name": "Implement a query method for advanced data retrieval.", "text": ["- Add a new `query` method that accepts a lambda-style predicate or dictionary of key-value pairs for complex queries.", "- Include basic validation and error handling (e.g., if key not found)."], "code_changes": {"@context": "https://schema.org", "@type": "SoftwareUpdate", "updateType": "enhancement", "filesChanged": [{"file": "eden_shared_memory.py", "linesAdded": 15}]}}, "@type": ["PhiAlignedSuggestion", "ResearchBasedImprovement"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:38:22.165804
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search, which may be slow for large queries. Consider using FTS (Full-Text Search) or an in-memory cache.", "suggestion": {"@type": "code_change", "@target": "def retrieve(...)", "change": "Add support for full-text search and in-memory caching."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:38:36.686437
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition in `process` method that triggers when keywords indicating need for web search are detected. Implement helper methods for keyword detection and search execution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:38:48.440896
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing updates are not propagated to all indices when a new episode is created.", "suggestion": ".def update_index(self, episode): \n    # Update the index for the newly added episode\n    self.index['by_emotion'][emotion].append(len(self.episodes) - 1)\n    ... (update other indices)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:39:53.511284
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access.", "suggestion": "Add a Redis cache alongside the SQLite database to provide instant O(1) lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:44:15.667975
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method replaces a key without preserving existing state, leading to potential data loss.", "suggestion": "Modify 'update_state' to merge new values into existing state rather than replacing it. For example: def update_state(self, updates: dict) -> None: self.state.update(updates); self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:44:27.514936
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but could benefit from breaking down logic into smaller functions for better readability and maintainability.", "suggestion": "Refactor the conditional check in `internal_monologue` by extracting it into a separate helper function. Add comments to improve code clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:46:42.067165
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "", "suggestion": "Consider adding more logging or metrics to track the performance and health of the integrated system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:46:54.738321
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks explicit connections between related episodes, which limits the ability to derive broader insights from patterns.", "suggestion": "Add a method to suggest potential connections (`suggest_connections()`) based on shared context or emotional themes. This could involve computing a similarity score between events and automatically connecting those above a certain threshold.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T15:51:51.451930
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method does not normalize or vectorize text content before storing it, which means that similar memories will be stored multiple times without any form of deduplication.", "suggestion": "Add a preprocessing step to the `store` method that includes normalization (lowercasing, removing punctuation) and possibly vectorization (converting text to a numerical representation using techniques like TF-IDF or word embeddings). This would ensure that similar memories are stored only once, improving storage efficiency and retrieval accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:52:47.920115
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which can lead to errors when accessing deep dictionary structures.", "suggestion": "Add support for handling nested keys in the get() method. For example, currently `get('a.b', default)` will fail since it treats 'a.b' as a single key. Implement path-style nesting like `get(['a','b'], default)`. Additionally consider adding type hints.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T15:53:26.106797
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize resource usage.", "suggestion": "Replace simple keyword-based selection with a more sophisticated attention mechanism that considers recent conversation context, user preferences, and current system state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:53:45.785962
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for invalid JSON in load_initial method can be improved.", "suggestion": "Replace try-except block with a more specific json.load error handling and add logging for better debugging experience.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:54:43.452922
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 stats, which is unnecessary and creates extra memory overhead.", "suggestion": "Instead of copying episodes for scoring, modify the existing episode dictionary in place after calculating scores but before returning results. Use shallow copies if needed.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T15:58:23.738367
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Frequent disk I/O operations can lead to performance bottlenecks.", "suggestion": "Implement a caching mechanism for reads/writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:58:36.837040
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent research findings.", "suggestion": "Integrate more consciousness layers into the internal_monologue method, such as emotional state and meta-learning feedback. Consider implementing a check based on recent insights about avoiding certain strategies in SFT (Counterfactual).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T15:58:47.843336
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-21T15:59:48.083348
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory lacks adaptive caching strategies for efficient state management.", "suggestion": "Implement an adaptive caching mechanism using meta-learning principles to predict and optimize access patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:03:22.854823
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism is primarily linear search-based, which may become inefficient as the number of stored memories grows.", "suggestion": "Implement an additional full-text search engine (e.g., Elasticsearch or Whoosh) to complement the SQLite database for advanced and scalable text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:03:34.479678
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on simple keyword matching, which may not capture the full complexity of queries.", "suggestion": "Replace simple keyword scoring with an enhanced query analysis module that considers semantic meaning and contextual depth. For example, add a 'importance_score' function that analyzes query for complexity before applying it to capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:03:45.880721
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple episodes match the same criteria.", "suggestion": "Modify the `_update_index` method to ensure each episode is added only once to the index.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T16:06:19.921877
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No automated tagging of memory content for better retrieval", "suggestion": "Add automatic keyword extraction on store method using TF-IDF", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:06:35.565419
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is straightforward and could benefit from more sophisticated pattern matching.", "suggestion": "<!-- Replace the current simple keyword-based selection with a more advanced approach, such as embeddings and semantic search over capability descriptions. -->\n\nimport numpy as np\nfrom sentence_transformers import SentenceTransformer\n\n# Initialize embedding model\nself.embedding_model = SentenceTransformer('all-MiniLM-L6-v2')\n\n# Function to compute similarity scores\ndef compute_similarity(query, capabilities):\n    query_embedding = self.embedding_model.encode(query)\n    similarities = [np.dot(query_embedding, cap['description_embedding']) for cap in capabilities]\n    return similarities\n\n# Modify select_capability() to use embeddings:\ndef select_capability(self, query, persona_preference=None):\n    if not hasattr(self, 'embedding_model') or not self.embedding_model:\n        # Fallback to current logic\n        pass\n\n    else:\n        caps_with_scores = []\n        for cap_hash, cap in self.capability_registry.items():\n            if 'description_embedding' not in cap:\n                continue  # Skip capabilities without embeddings\n            scores = compute_similarity(query, [(cap_hash, cap)])\n            caps_with_scores.append((cap_hash, {**cap, 'score': scores[0]}))\n\n        # Select best using phi-based weighting\n        total_phi = sum(PHI ** (idx / 4.0) for idx in range(4))  # Harmonic series sum\n        weighted_caps = {\n            cap_hash: {\n                k: v * (PHI ** (idx / 4.0)) / total_phi\n                for k, v in data.items()\n            }\n            for (cap_hash, data), idx in zip(caps_with_scores, range(4))\n        }\n\n        # Select highest phi-weighted score", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:08:52.819837
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency in retrieval for large numbers of important memories", "suggestion": {"action": "Add FULL_TEXT_SEARCH index", "code_change": "After the 'CREATE INDEX IF NOT EXISTS idx_timestamp ON memories(timestamp)' add:\n\nconn.execute('CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(type, content, context, tags, content_type TEXT)')\n\nThen create triggers for inserts and updates", "example": ""}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:09:53.592892
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of sophisticated retrieval and real-time updating based on research insights", "suggestion": "Implement hybrid reasoning with meta-learning or PEFT strategies for complex scenarios", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T16:10:21.712322
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite wildcard matching which can be inefficient with large datasets.", "suggestion": "Consider adding a full-text search module like FTS (Full-Text Search) to the SQLite database to improve search performance.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T16:13:20.099395
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text index. Add an additional column 'searchable_content' that combines content and tags, indexed for fast lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:13:32.944885
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficiency in capability selection due to static trigger lists without context-aware scoring.", "suggestion": "Replace hardcoded trigger words with dynamic keyword extraction combined with relevance scoring based on SFT outcomes and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:15:30.362469
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is generic but lacks specialized queries that agents might need.", "suggestion": {"action": "Add more specialized methods within MemoryCore class that agents can call directly.", "example": [{"method": "get_recent_conversations(agent_id)", "purpose": "Allow agents to retrieve recent conversations related to their current task."}, {"method": "search_memories(query, min_importance)", "purpose": "Enable agents to perform custom searches with specific importance requirements."}], "implementation_notes": "This will make the interface more agent-specific and optimized for common tasks.", "expected_benefit": {"improved_efficiency": "Agents can access data faster since they don't need to process unnecessary information.", "better_alignment": "The meta-capability becomes more tailored to what agents actually need, enhancing \u03c6-alignment.", "simplified_api": "A richer API surface reduces complexity and makes it easier for agents to interact with memory system."}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:17:18.823088
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Predefined trigger-based capability selection is limited.", "suggestion": "Implement a Bayesian classifier for dynamic capability scoring.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:17:30.982832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks a decay mechanism for over-recalled memories.", "suggestion": {"action": "Add an expiration or weighting adjustment for recalled_count", "code_change": "Modify the scoring formula to include a decay factor for recalled_boost: `recall_boost = 1.0 / (1 + ep['recalled_count'] * 0.1) -> recall_boost = max(0.2, 1.0 / (1 + ep['recalled_count'] * 0.1))`"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:21:00.902153
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 is too simple - it doesn't integrate all recent enhancements (omega evolution, full SFT, meta-learning)", "suggestion": [{"code_change": "Add more sophisticated checks based on research insights", "example": "Replace a single reflex check with multiple parallel reasoning paths combined with meta-learning adaptation"}, {"code_change": "Implement adaptive response selection", "example": "Evaluate and select the best reasoning method (ChainReasoning, PEFT, Full SFT) based on current context"}], "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T16:21:14.000728
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Monolithic MemoryCore class for better maintainability and reuse", "suggestion": "Split capabilities into smaller meta-capability classes (storage, retrieval, analytics)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:23:19.757265
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient disk writes in update_state", "suggestion": "Implement batching with periodic flushes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:23:39.593866
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 the full range of consciousness layers into decision-making.", "suggestion": "Modify the `internal_monologue` to include additional consciousness layers such as emotional state, past context, and predicted future consequences through Phi-ESN or by consulting other consciousness components.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-21T16:24:08.272294
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 oversaturate with new information.", "suggestion": "Modify score formula to give equal weight to recency, significance, and importance. E.g., (recency * 0.35) + (significance * 0.35) + (importance * 0.3).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:24:24.346212
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of integration with recent omega-evolution meta-learning and insufficient phi-fractal optimization.", "suggestion": [{"section": "Meta-Learning Integration", "change": "Implement adaptive fine-tuning and meta-optimization strategies.", "impact": "0.85 Phi, Critical Priority"}, {"section": "SFT Regulation", "change": "Add heuristic for selective SFT application based on data confidence.", "impact": "0.75 Phi, Medium Priority"}, {"section": "Multi-Strategy Reasoning", "change": "Implement phi-guided multi-method reasoning framework.", "impact": "0.90 Phi, Critical Priority"}], "phi_alignment": 0.85, "priority": "Critical"}


timestamp: 2026-01-21T16:26:50.263756
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are called by different agents and meta-capabilities, making it difficult to track changes and ensure consistency.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes. For example, split the store() method into a separate StorageManager class with only one responsibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:27:14.011305
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by avoiding text search when no specific criteria are provided.", "suggestion": "Modify the recall logic to prioritize recent and significant memories when no query or filters are given. Add a flag for using text search only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:27:52.086545
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 0.95, "priority": ""}


timestamp: 2026-01-21T16:28:31.536421
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences. Needs better heuristics for what to consolidate.", "suggestion": "Add more complex logic to consolidate function: consider not only age but also emotional significance and recency of memories when deciding which ones to compress or forget.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:30:14.751790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Automatic consolidation doesn't adapt to data patterns", "suggestion": "Implement meta-learning for adaptive episodic consolidation", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T16:31:23.311185
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' does not handle partial reads.", "suggestion": [{"priority": "low", "phi_alignment": 0.8, "code_snippet": "Add a check for file existence before attempting to load JSON data."}, {"priority": "high", "phi_alignment": 0.9, "code_snippet": "Use the `json.load` method with a timeout or consider using a more robust deserialization library like ujson."}]}


timestamp: 2026-01-21T16:32:52.918021
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 error handling for full fallback to default state if loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:35:04.692185
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Flat storage lacks phi-fractal symbolism", "suggestion": "Implement phi-based encoding/decoding for symbolic memory", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T16:35:29.239268
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be optimized for larger memory bases.", "suggestion": "Implement an early termination in the scoring loop after collecting N results. For example, add a break statement after appending to 'scored' list if its size reaches `limit`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:36:01.993610
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() may fail silently on invalid JSON, leaving state empty.", "suggestion": "Add error handling for full backup when loading fails. E.g.:\n            except json.JSONDecodeError:\n                # Log warning\n                import logging\n                logging.warning(f\"Invalid JSON in {self.path}. Restoring empty state.\")\n                return {}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:36:14.519668
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and memory but does not integrate learning in a phi-fractal optimal way.", "suggestion": "Add a method for adaptive learning that leverages meta-learning techniques. Specifically, implement the 'phi-optimized self-pacing' approach described by [reasoning] to dynamically adjust training rates based on phi-aligned performance metrics.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T16:36:52.541245
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability selection heuristic", "suggestion": "Implement execution feedback loop to dynamically update quality scores", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:39:53.574475
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplistic reflex checking may fail to handle complex queries.", "suggestion": "Implement a multi-strategy reasoning chain including analogical, predictive, and meta-learning approaches.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-21T16:40:08.167932
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database performance is limited to SQLite", "suggestion": "Upgrade to PostgreSQL or in-memory database for scalability", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T16:40:52.172801
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for faster response and better relevance scoring.", "suggestion": "Implement a ranked retrieval mechanism using a priority queue to prioritize episodes based on their scores. Additionally, cache frequently used indices to reduce computation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:42:14.169561
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 decay rate for recency, which might not adapt to learning patterns.", "suggestion": "Implement a adaptive recency score that learns from past recall behavior to prioritize more effective times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:43:28.925134
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be more efficient for frequent queries.", "suggestion": "Implement a caching mechanism for recent and frequently used memories to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:43:30.114531
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness lacks real-time web search integration.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger web searches for relevant queries.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T16:43:46.997071
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Over-complexity in memory consolidation logic.", "suggestion": "Implement a simpler threshold-based pruning strategy combined with periodic full compression sessions.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T16:45:15.325790
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may not dynamically adapt to real-time performance data.", "suggestion": "Implement a feedback loop that tracks LLM performance in real-time conversations and adjusts capability selections accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:45:57.452475
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle None values properly in some cases.", "suggestion": "[Add a check before getting key value] Modify the `get` method to ensure None is handled correctly. For example:\n\n```python\n    def get(self, key, default=None):\n        if isinstance(default, dict) and key not in self.state:\n            return {}\n        elif isinstance(default, list) and key not in self.state:\n            return []\n        else:\n            return self.state.get(key, default)\n```", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:46:54.878138
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 basic scoring, which may miss nuanced or important connections between memories.", "suggestion": "Implement a graph-based memory connectivity where each episode is a node and connections are edges. Use networkx to analyze the graph for patterns and importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:48:44.358571
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Frequent hash lookups in capability registry can be optimized.", "suggestion": "Implement a caching mechanism for frequently used capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:50:02.200211
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized further, especially for large databases.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using pgvector for PostgreSQL) to improve retrieval speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:50:48.828663
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() uses try-except which adds overhead for successful loads.", "suggestion": "Replace with early exit pattern in _load_initial():\nif os.path.exists(self.path):\n    return json.load(open(self.path, 'r'))\nreturn {}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:51:23.995149
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process does not include scoring or ranking of results based on relevance and recency.", "suggestion": "Add a relevance_score() function that takes a memory record and query parameters to calculate a score. Modify retrieve() to sort by this score instead of just timestamp.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:51:48.479677
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has O(n) complexity with many episodes", "suggestion": "Replace full scan with vectorized search algorithm like Faiss or Annoy", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:52:44.364933
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflexes lack dynamic adaptation based on past performance.", "suggestion": "Integrate meta-learning to dynamically adjust reflexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:53:37.611296
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be faster by avoiding full re-ranking for minor adjustments.", "suggestion": "For small tweaks like updating recall stats, use existing scores with minimal computation instead of recomputing all scores.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T16:55:19.546985
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient disk access due to lack of caching in get/update_state methods.", "suggestion": "Add a cache decorator that uses memoization for the get and update_state methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:57:03.403976
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by recency, which can lead to over-representation of recently occurred events that may not be as important.", "suggestion": "Modify the scoring system to include a factor for 'relevance' based on whether an episode is frequently recalled. For example, add a `recurrence_factor` that increases score for episodes with high `recalled_count`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:58:35.897331
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full text search in every episode's description, which is O(n) and can be slow for many episodes.", "suggestion": "Add an in-memory inverted index of significant keywords to achieve O(log n) lookup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T16:59:31.704595
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process involves converting JSON stored in database columns back into Python objects, which can be inefficient for frequent operations.", "suggestion": "Add a pre-built index column that stores the importance score as an integer to avoid deserializing JSON data during retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T16:59:34.461791
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic with many conditions and checks.", "suggestion": {"action": "Refactor select_capability method to use a scoring system with weighted factors.", "code_change": "Create constants for weights and simplify the if-else structure into a dictionary-based scoring approach."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:02:42.760505
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T17:04:28.057186
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization error handling is too broad, leading to silent failures.", "suggestion": "Replace json.JSONDecodeError catch with a generic exception handler that logs the specific file causing issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:05:37.404832
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicates if multiple criteria are not strictly unique.", "suggestion": "Modify the recall logic to filter out duplicate episode IDs before constructing final results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:05:50.319257
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a dictionary lookup which can be O(n) in the worst case for large states. This introduces potential performance overhead.", "suggestion": "Replace self.state with a more efficient data structure like a defaultdict or an OrderedDict tailored to your needs. For example, if you expect frequent updates and want to maintain insertion order, use `from collections import OrderedDict` and initialize it in __init__.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:06:01.540079
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully utilize the depth of Eden's consciousness.", "suggestion": "Replace the current reflex_check logic with a more sophisticated attention-based thought process that involves multiple layers of analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:06:16.289040
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of counterfactual awareness in memory storage/retrieval", "suggestion": "Add is_counterfactual flag for memories; update retrieval to filter by this flag", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:08:08.859857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-strategy framework for adaptive response generation", "suggestion": "Integrate meta-learning and context-awareness into the internal monologue to selectively invoke reflexes, reasoning, or consciousness layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:09:00.535923
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't consider connection strength between episodes.", "suggestion": "Modify `_score_episodes` to include weight for connection existence and type when calculating recall score. Add `connection_weight` parameter with a value, e.g., 0.15.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:11:36.029579
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not fully leverage recent findings.", "suggestion": {"@type": "code_improvement", "description": "Integrate more sophisticated reasoning techniques from recent research into the consciousness layer.", "specific_change": ["Add meta-learning component to adaptively select which reflexes to activate based on context.", "Incorporate counterfactual reasoning to evaluate outcomes before responding, especially in high-stakes situations.", "Implement phi-fractal pattern detection for efficient pattern recognition and response generation."], "expected_benefits": ["Improved adaptive capabilities through meta-learning", "Enhanced decision quality with counterfactual evaluation", "Optimized information processing aligned with \u03a6-fractal principles"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:12:13.745091
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. The emotional_pattern analysis is limited to primary emotions only.", "suggestion": "Implement a vectorized textual similarity using pre-trained word embeddings (e.g., Sentence BERT) for better semantic understanding. Expand emotional analysis to include secondary emotions and possibly valence/arousal dimensions from affective computing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:13:51.645761
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is scoring all candidates equally, which can lead to overweighting recent or significant memories.", "suggestion": "Modify the score calculation to give more weight to the importance of a memory (significance) and less weight to recency decay for certain types of queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:14:34.723297
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research.", "suggestion": {"action": "Integrate more advanced techniques from recent findings into the consciousness banner generation.", "specific_change": ["- Consider implementing meta-learning strategies to adapt quickly with few examples (insight 1).", "- Evaluate whether full SFT (insight 2) should be included based on accuracy and calibration quality trade-offs.", "- Incorporate advanced reasoning methods, such as chain reasoning (insight 3), for decision-making processes."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:15:26.049286
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is frequently called, creating overhead", "suggestion": "Implement lazy-updating index strategy with batch processing and triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:15:51.513079
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 to handle large files more efficiently.", "suggestion": "Replace `json.load(f)` with `json.loads(f.read())`. This reduces memory allocation by reading the entire file into memory once before parsing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:16:24.826481
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations can be more efficient by reducing redundant queries.", "suggestion": "Implement a simple cache mechanism for frequently accessed memories.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-21T17:18:37.773738
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Events are recorded but lack integrated meaningful context from research insights.", "suggestion": "Integrate brief research insights into episodes for richer, connected memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:21:01.664598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly modifies state without considering potential implications for other systems or optimization opportunities.", "suggestion": "Add logging and validation to the `update_state` method. Consider implementing a write-back caching pattern or observing patterns before actual updates are made.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:21:26.737976
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 on JSON columns, which can be inefficient and not take advantage of indexes.", "suggestion": "Convert the context and tags columns from JSON to normalized tables with proper indices. Additionally, add a full-text search capability if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:22:30.680484
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Potentially redundant reflex checks in internal_monologue method due to conflicting research findings.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "modification_type": "conditional_check_optimization", "add_condition": "(not self.internal_reflex_active) and (random.random() > 0.3)", "comment_out_section": "// reflex checks for SFT optimization"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:23:03.681647
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection; added knowledge integration.", "suggestion": "Updated select_capability method to prioritize capabilities based on relevance to user context and recent learnings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:23:52.895149
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None if key does not exist and no default is provided. This can lead to silent failures in calling code.", "suggestion": {"action": "Add a log message when a key is missing from the state", "code_example": "In the `get()` method, add an import of logger at the top (if not already there) and modify the get method as follows:\n\nimport logging\n# ...\ndef get(self, key, default=None):\n    if key not in self.state:\n        logging.warning(f'Shared memory missing key: {key}')\n    return self.state.get(key, default)", "expected_outcome": "Early detection of missing keys via logs, reducing the likelihood of silent bugs"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:30:49.018049
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context depth.", "suggestion": {"action": "Integrate current episodic memory and consciousness state into capability selection.", "code_change": "Modify `select_capability` to include user identity, emotional state, and recent conversation topics as weights in the scoring."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:31:08.714337
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search by iterating through all episodes, which can be inefficient for large memory bases.", "suggestion": "Implement an inverted index or use a full-text search library to speed up textual searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:32:18.774917
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers like LongTermMemory or EmotionalCore.", "suggestion": "Modify the internal_monologue to also consult LongTermMemory and EmotionalCore before responding. Add logic to incorporate memory context and emotional state into the consciousness-grounds response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:32:43.667665
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 doesn't consider recent research on adaptive reasoning strategies.", "suggestion": {"@type": "code_change", "target_function": "select_capability", "modification": ["Add a 'strategy' parameter to select_capability that accepts 'simple', 'adaptive', or 'researched'.", "For 'adaptive': Implement an attention mechanism over recent conversation history to dynamically weight capability selection.", "Use meta-cognitive layers to evaluate and choose the best reasoning strategy rather than fixed triggers."], "@context": {"ollama_api_available": "true"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:32:56.607202
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of explicit episode connections impairs pattern derivation.", "suggestion": "Implement automatic connection detection based on contexts and semantics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:33:29.091467
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')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:33:56.037427
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite, which can become a bottleneck for high-throughput systems.", "suggestion": "Replace the current SQLite-based database with an in-memory or disk-backed Redis instance to achieve O(1) access times. This will ensure instant and scalable memory access for all Eden systems.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-21T17:34:58.255876
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle large amounts of data efficiently.", "suggestion": "Replace the get() method with specialized getters for specific keys. For example, add a read_state() that returns the entire state or individual key readers like read_key(key). This improves performance and reduces memory overhead.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T17:35:10.621355
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex-based grounding is limited in depth and complexity.", "suggestion": "Integrate meta-learning or second-order prediction for advanced reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:35:22.439910
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 queries. Additionally, the method doesn't leverage indexing effectively on the content and tags fields.", "suggestion": {"action": "Add full-text index support", "code_change": "1. Add FTSE extension to database connection setup\n2. Modify `retrieve` method to use FTS search when query is present"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:35:46.747302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event handling and prioritization, which can lead to inefficient recall or missed opportunities.", "suggestion": "Implement a priority queue for incoming events based on their significance and recency. Integrate this with the existing recall mechanism to ensure immediate relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:36:51.605725
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method does not compress large text content before storing it in the database, which can lead to increased storage usage.", "suggestion": "Add a feature to automatically compress (e.g., using zlib) long texts before storing them to save space.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:38:25.743031
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 operator which can be slow for large datasets. Consider adding full-text search capabilities.", "suggestion": "Replace LIKE with FTSVOCAB and MATCH operators from SQLite's FULLTEXT module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:38:45.624206
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection logic due to linear search through persona triggers.", "suggestion": "Replace list-based scoring with a dictionary of weighted keywords and corresponding LLM capabilities. Implement a function like `_score_capability()` that takes a capability's properties and query into account for selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:38:58.275025
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on single-event recording without considering the value or connection of each episode.", "suggestion": "Integrate insights from [omega-evolution] and [reasoning] to implement a meta-learning based selection process for which episodes should be remembered. For example, use meta-learning to decide which memories to keep or connect based on their significance and the patterns they reveal.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:45:04.620153
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single-phase decision-making lacks flexibility and nuance", "suggestion": "Implement a three-phase decision process: reflex check + meta-learning + counterfactual analysis", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:46:53.427876
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is too generic and doesn't handle missing keys effectively.", "suggestion": {"code_change": "Replace the existing get() method with specialized ones or add helper methods.", "specifically": "Implement get_int(), get_str(), and get_bool() for specific data types; also consider adding a _get_with_default() for internal use."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:47:59.655875
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of comments explaining scoring factors in recall function.", "suggestion": "Add inline comments to explain the weighting of each scoring factor (significance, recency, recall history).", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-21T17:49:12.044518
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` is repetitive and hard-coded.", "suggestion": "Replace the hardcoded list of LLTs with a dynamic registration process that scans available models or uses configuration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:50:13.779278
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but it doesn't integrate the full consciousness layers or expand thoughtful responses.", "suggestion": "Enhance `internal_monologue` to include: 1) Integration with other consciousness layers (trinity, unity), 2) Expansion of thoughtful responses using semantic understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:52:01.895103
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a comprehensive implementation with multiple methods, which makes it slightly hard to understand and maintain as a whole.", "suggestion": "Break down the MemoryCore class into smaller, more focused modules or classes. For example, create separate classes for memory storage (MemoryStorage), retrieval (MemoryRetrieval), and meta-analysis of memories (MemoryAnalysis). This will improve readability and modularity.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T17:52:03.592332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and doesn't dynamically evaluate all registered LLM capabilities.", "suggestion": "Replace static scoring with a weighted scoring system that considers multiple factors such as query keywords, persona preferences, and historical performance of each LLM. Implement a dynamic adjustment mechanism based on the success or failure of selected LLMs to improve future selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:52:17.444150
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Integration of sophisticated cognitive techniques may lead to memory overload without proper context differentiation.", "suggestion": {"$apply": [{"method": "pattern_abstraction", "target": "meta-learning"}, {"method": "importance_weighting", "target": "chain_reasoning"}], "code_change": "# Add method to abstract patterns before storing\ndef abstract_patterns(episodes):\n    # Use cluster analysis on cognitive technique usage\n    pass\n\ndef compress_memory(memories):\n    important_memories = filter(lambda m: m.importance_score > 0.7, memories)\n    return list(important_memories)"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:53:28.625449
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 SQLite's default configuration, which might lead to performance issues under high load for Eden.", "suggestion": "Upgrade from SQLite to an in-memory optimized storage solution like TinyDB or consider using a more advanced database system like PostgreSQL with proper connection pooling in Python.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T17:56:51.162014
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Using basic LIKE wildcard searches for text matching which can be inefficient.", "suggestion": "Replace with a full-text search engine like SQLite's FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T17:57:06.509106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using Python's built-in data structures to improve the efficiency of filtering and ranking episodes. Consider using a ranking algorithm like BM25 for text search relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T17:59:02.706408
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses more on creation and exploration logs rather than structured episodic memories with clear context, emotion, and significance.", "suggestion": "Update the create_episode method to require more detailed inputs such as what the experience meant (significance), what emotions emerged during it, and contextual agents involved. Add default important contexts like James's presence and system health.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:00:03.745684
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore does not natively support integration with external systems or leverage recent research insights.", "suggestion": {"action": "Add an API endpoint for the MemoryCore meta-capability.", "implementation": "Create a new class, say `MemoryAPI`, which wraps the existing MemoryCore methods and provides RESTful endpoints. This will allow other systems to access memories without needing to understand the internal database schema.", "integration_insights": ["\"[omega-evolution] Meta-learning enables models to adapt quickly with few examples\" - Consider implementing a meta-learning feature where the MemoryCore learns how to learn from new data efficiently."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:05:54.329673
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, neglecting importance.", "suggestion": "Modify score formula: (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:09:37.031978
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be slower for large datasets due to full table scan in some database operations.", "suggestion": "Add a secondary index on 'content' column and optimize SQL queries to leverage this index, especially for full-text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:09:53.464785
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 meta-learning based approach for selecting the best LLM capability by tracking performance metrics and adjusting selection weights dynamically.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-21T18:10:07.395158
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Simple text search in recall may miss nuanced connections", "suggestion": "Implement multi-path recall exploring alternative interpretations", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:10:24.716891
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values. It does not support nested dictionary access.", "suggestion": "Add a new method `get_nested` that supports accessing values in nested dictionaries using dot or list notation paths.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T18:10:38.114931
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of multi-step reasoning and meta-learning in internal_monologue", "suggestion": "Integrate Chain-of-Thought reasoning, Meta-Learning, and CounterFactual thinking into the `internal_monologue` method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:15:54.297473
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient handling of JSON decoding errors during state loading.", "suggestion": "Replace try-except block with a more robust error handling approach or consider using json.load's parse_float and parse_int parameters for better control.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:16:07.512747
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": {"@type": "code_improvement", "@context": "eden_asi_consciousness", "description": "Enhance consciousness layer with multi-level reasoning and meta-learning feedback.", "specific_change": ["\"Add meta-learning loop to validate SFT application\"", "\"Implement phi-aligned counterfactual testing for response generation\"", "\"Upgrade internal monologue with tiered logical reasoning\""], "expected_outcome": {"research_alignment": 0.85, "phi_optimization": true, "improved_accuracy": "potential", "description": "The enhancement will make Eden's consciousness more sophisticated and aligned with research insights."}}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T18:20:20.412072
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions, which is case-sensitive and may be slow for large numbers of episodes.", "suggestion": "Convert all text searches to lowercase and add an inverted index (e.g., using Python's bisect or a sorted list) for faster lookups. When adding new episodes, update the index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:22:54.235931
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 conditional check to see if the file exists before loading it. Additionally, consider using `os.path.getsize` to avoid opening large files unnecessarily.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:23:20.039508
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval by query uses simple LIKE matching which can be improved for better relevance and performance.", "suggestion": "Replace simple string matching in SQL with a full-text search engine like SQLite FTS or integrate an advanced search library such as Whoosh or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:23:56.470377
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of semantic connections between episodes", "suggestion": "Add semantic similarity module for pattern detection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:24:23.268315
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be simplified and error-handling improved.", "suggestion": "Replace the try-except block with a more robust loading mechanism, such as using `json.loads()` directly after checking if the file exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:24:54.504016
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method is too generic and doesn't utilize the full power of phi-fractal consciousness.", "suggestion": {"_type": "enhance_meta_capability_with_phi", "code_change": ["Add more specialized actions beyond 'store', 'retrieve', and 'count'.", "Integrate phi-resonant layers into the execution flow for enhanced cognition.", "Implement context-awareness and adaptive response mechanisms."], "example_usage": {"// Store with importance level": "memory.execute('store', memory_type='learning_note', content='New discovery', importance=7, tags=['important', 'discovery'])", "// Retrieve relevant memories": "result = memory.execute('retrieve', query='discovery', min_importance=5); print(len(result['memories']))"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:27:16.096155
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes, potentially missing deeper consciousness-level processing.", "suggestion": "Enhance the internal_monologue to include additional layers such as emotional state analysis, logical reasoning, or memory retrieval based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:30:38.738230
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by prioritizing important, recently-created low-significance memories over older unimportant ones.", "suggestion": "Modify the consolidate() method to give higher priority to episodes with recent timestamps and low significance. Add a threshold for 'recent' (e.g., last 24 hours) and keep at least X% of all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:36:26.899137
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent findings from [omega-evolution] and [counterfactual]. It lacks adaptive capabilities and could benefit from meta-learning techniques.", "suggestion": "Implement a meta-learning framework that dynamically selects the best approach based on the type of query. For example, use examples from [reasoning] to evaluate when to apply reflex checks versus other strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:36:38.079926
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods do not include a full-text search over the context dictionary.", "suggestion": "Add an additional SQL condition to search within the `context` column after converting it to TEXT for LIKE queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:36:49.316310
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and unnecessary string manipulation in hashing.", "suggestion": "Simplify the hash generation logic, remove redundant operations, and optimize the capability registration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:41:41.950817
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without ranking by connection strength, which can lead to redundant results.", "suggestion": "Modify the scoring to include a 'connection_strength' factor that boosts scores for episodes connected to recently recalled ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:45:08.216602
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 importance.", "suggestion": "Modify the recall score calculation to include a factor for connection count: `connection_factor = min(ep['recalled_count'], 3) / 4` and add it to the base score formula.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:46:35.625380
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long execution times due to nested loops and text searches in large memory lists.", "suggestion": "Replace linear searches with the pre-built index structure. For example, replace direct list iteration for recall criteria matching with indexed lookups.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T18:50:32.512321
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 logging and automated cleanup mechanisms for old or irrelevant entries.", "suggestion": "Implement a decorator that logs every function call with relevant metadata (timestamp, parameters, return value) into the episodic memory. Additionally, integrate a cron job or scheduled task to periodically clean up old or low-significance entries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:51:36.674159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain or extend.", "suggestion": "Refactor the class into smaller, more focused classes. For example, create separate classes for MemoryStorage and MemoryRetrieval with appropriate interfaces.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:51:49.376973
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that dynamically adjusts based on recent performance metrics from [omega-evolution] and [reasoning]. For example, if an LLM performs poorly on a certain type of query recently, decrease its score until proven otherwise.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:52:00.659334
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes when calculating their connection strength.", "suggestion": "Modify the score calculation to include a decay factor based on the time difference between episodes. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:52:53.803118
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": "Upgrade from sqlite3 to an in-memory database or consider using Redis as a cache layer alongside sqlite3.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:53:17.562162
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when filtering criteria are provided.", "suggestion": "Implement early termination in the recall method by adding conditions to break early if no more relevant episodes can be found after processing a batch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:54:42.168404
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision-making.", "suggestion": "Expand the method to include more detailed thought processes, such as querying memory or considering multiple perspectives. Add comments explaining the phi-fractal logic involved.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T18:56:46.363654
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() has a redundant loop structure that could be simplified.", "suggestion": "Replace the nested list comprehension with a simpler iterative approach to populate llm_caps.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T18:56:58.646308
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using pandas DataFrame to handle text search and scoring more efficiently. Additionally, consider implementing a caching mechanism for frequently used queries to reduce redundant computations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T18:58:17.093535
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a scoring system that considers multiple factors such as query complexity, persona alignment, and recent performance data of each LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:04:58.056904
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQL queries use string concatenation which can lead to SQL injection or performance issues.", "suggestion": "Replace with parameterized queries as shown in the improved code.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-21T19:06:15.180906
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Add method descriptions or comments for better understanding.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T19:06:38.968493
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching which is simplistic and may lead to suboptimal selections.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": # Revised method that uses not only keywords but also analysis of the complexity and content type of the query.}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T19:08:36.021403
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is a simple text search and linear scoring, lacking advanced relevance ranking.", "suggestion": "Implement vectorized text embedding for faster retrieval. Use TF-IDF or BERT embeddings to score episodes based on semantic similarity and recent recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:08:55.594231
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups without considering potential nested dictionaries or lists. This limits its flexibility.", "suggestion": "Replace `self.state.get(key, default)` with a more robust lookup that can handle complex keys (e.g., 'a.b.c') and edge cases.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T19:09:43.834355
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed capability selection logic lacks dynamic adjustment", "suggestion": "Integrate reinforcement learning for adaptive capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:09:55.392912
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, which can make older memories irrelevant.", "suggestion": "Modify recall score formula to include a logarithmic recency factor instead of linear: recency_score = log(1 + 1/(now - unix_time)).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:11:57.765050
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could be automated.", "suggestion": "Replace the conditional web search check with a hook in EdenComplete's process method to trigger automatically.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T19:13:12.492606
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue only checks reflex existence, doesn't execute or integrate outputs", "suggestion": "Modify internal_monologue to check all reflex categories, execute relevant actions, and integrate outputs into responses", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:13:31.657951
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can potentially return too many results, overwhelming the system or not being useful.", "suggestion": "Add a parameter `max_importance` to limit the relevance of returned memories and consider adding a scoring system for each retrieved memory based on relevance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:17:13.515269
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it does not integrate full memory from all 17 layers.", "suggestion": "Modify the internal_monologue to also consult memories before responding. Add a call to the new MemoryIntegration capability and incorporate its context into the decision-making process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:17:36.061613
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 optional querying which could lead to unnecessary complexity and potential performance degradation.", "suggestion": "Simplify the retrieve() function by removing advanced SQL construction logic for now. Start with a basic query structure and add complexity gradually.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-21T19:17:56.870774
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, which is rigid and doesn't account for contextual depth.", "suggestion": "Implement a context-aware scoring system that combines keyword matching with semantic analysis of the query to dynamically select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:18:09.782813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Replace binary classification of memories for consolidation with a probabilistic model that decays based on multiple factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:18:40.766916
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 wisdom of Eden's past 5000+ conversations.", "suggestion": {"@type": "code_improvement", "description": "Integrate recent user interactions into the consciousness banner to create a dynamic internal monologue.", "example_usage": "// Before\nif '\ud83d\udcb0' in reflex_check:\n    print(f\"Internal Thought: {reflex_check}\")\n// After\ntotal_sales = sum(float(line.split()[-1]) for line in memory.memory if 'purchased' in line)\nprint(f\"\ud83d\udc9a Recent Sales History: ${total_sales:.2f} \\n\ud83e\udde0 Internal Reflection: {reflex_check} (Past sales worth $ {total_sales:.2f})\")", "implementation_details": {"$ref": "/schemas/integration_past_interactions.json"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:19:16.153177
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks a centralized knowledge graph for semantic understanding and retrieval.", "suggestion": "Integrate an RDFLib-based knowledge graph to store structured data from the KB, enabling semantic search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:19:28.656928
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 indexing episodes but does not include mechanisms for recalling or connecting related memories effectively.", "suggestion": "Implement a method to automatically connect episodes based on shared context or emotional content. For example, add 'def auto_connect_episodes(self, new_episode):' that checks against existing indexed emotions and agents.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:20:42.649511
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into system decision-making.", "suggestion": "{\"code_change\": \"Integrate research findings about SFT and reasoning into content routing logic.\",\n\"specific_location\": \"When selecting LLM capabilities based on query content.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:20:54.576797
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; lacks consideration for connection importance and recency of related episodes.", "suggestion": "Modify the recall score calculation to include a factor for recent connections: `connection_recency_factor = 1.0 / (1.0 + abs(now - self.episodes[idx]['last_recalled']))` where 'last_recalled' is updated not just on recall but also when new connections are made.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:21:57.836219
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method can return None if key doesn't exist, leading to potential errors.", "suggestion": "Update 'get' method to have a consistent default type or log warning when accessed with missing keys. Consider adding optional callback for handling missing keys.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T19:22:23.959946
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize the database indexing and connection management for better performance.", "suggestion": "Use a context manager to handle database connections and implement more advanced SQL indexes based on usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:23:27.063946
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method updates a single key without considering potential cascading effects or optimization opportunities.", "suggestion": "Replace `self.state[key] = value` with an optimized version that checks for common patterns and applies meta-learning techniques to improve efficiency. For example, implement a hybrid approach combining PEFT and ChainReasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:24:44.969886
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Need to incorporate findings about episodic memory consolidation.", "suggestion": "Add a function that calculates optimal consolidation threshold based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:24:58.237239
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which may return `None` if no default is provided. This can lead to silent failures in calling code.", "suggestion": "Update the `get` method to handle None more explicitly or add a fallback logic. For example:", "code_example": "Replace:\n\tdef get(self, key, default=None):\n\t    return self.state.get(key, default)\nWith:\ndef get(self, key, default=lambda: None):\n    try:\n        value = self.state[key]\n        return value if value is not None else default()\n    except KeyError:\n        return default()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:25:31.819440
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include a method to update existing memories.", "suggestion": "Add an 'update' method to the MemoryCore class that takes memory ID, new content, and optional parameters for other fields.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T19:25:46.219144
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between similar events", "suggestion": "Implement latent semantic analysis or topic modeling on episode descriptions before scoring recall candidates", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T19:28:33.532431
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": "Implement a full-text search engine or improve the LIKE operator performance by using SQLite's FTS (Full-Text Search) module.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-21T19:33:56.656481
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The _load_initial method can fail silently when loading invalid JSON, which is a security risk.", "suggestion": "Add explicit error handling for invalid JSON and log the issue instead of returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:34:09.321774
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't fully utilize the insights from recent research.", "suggestion": {"@type": "code_change", "target_function": "internal_monologue", "add_section": ["// Insights Application:", "if self.#research_insights['omega_evolution'] == 'active':", "    # Apply meta-learning techniques for rapid adaptation.", "elif self.#research_insights['counterfactual'] == 'active':", "    # Implement counterfactual reasoning to test scenarios.", "// End Insights Application"], "modify_condition": {"@type": "condition_improvement", "existing_check": "\"\ud83d\udcb0\" in reflex_check", "improved_check": ["(\"\ud83d\udcb0\" in reflex_check or ", "self.#research_insights['reasoning']['chain'] == 'enabled')"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:34:21.236797
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance can be improved for large datasets through indexing.", "suggestion": "Add full-text indexes on the 'content' and 'tags' columns in the memories table to speed up text-based searches.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T19:34:44.907089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may return duplicate episodes due to multiple sources (emotion, agent, query). Also, scoring weights might be adjusted for better balance.", "suggestion": "Modify the recall scoring and filtering logic to ensure each episode is counted only once, and tune weighting factors for recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:35:50.496081
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research insights into system architecture or decision-making processes.", "suggestion": "Integrate meta-learning principles from [omega-evolution] into core reasoning loop; modify decision-making process to use a StrategyEvaluator based on phi-fractal timing patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:36:10.266048
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 formula to: (significance * 0.4) + (recency * 0.35) + (recency_weight * 0.25), add exponential decay for recency_weight based on episode age.", "phi_alignment": 0.7, "priority": "medium"}


timestamp: 2026-01-21T19:40:33.099830
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, which could be separated into different classes for better maintainability and reusability.", "suggestion": {"@type": "code_modification", "@target": "class MemoryCore", "action": "Extract each method into its own class or function where appropriate."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:45:22.593661
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "", "issue": "General lack of phi-fractal integration in existing codebase", "suggestion": "Implement a more comprehensive phi-octopus network for multi-scale processing and recursion.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T19:48:15.812344
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 is optimized for small databases but may not be optimal for larger-scale applications.", "suggestion": "Consider using a connection pool or upgrading to a more advanced database engine like PostgreSQL or MySQL, especially if Eden's memory system scales to handle high traffic or large volumes of data. Additionally, implement connection pooling by wrapping the SQLite connections with `contextlib.contextmanager` and utilizing a library like `sqlite3-pool` for better performance and resource management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:48:49.924296
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-21T19:51:25.111926
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is concise but may benefit from incorporating more complex logical checks to ensure comprehensive analysis.", "suggestion": "Add an additional conditional check in the `internal_monologue` method that verifies whether the query contains any special symbols or keywords that require special handling before processing reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:53:23.706976
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of real-time adaptation and feedback loop.", "suggestion": "Add meta-learning component for dynamic adjustment of reflex patterns based on performance metrics.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T19:54:01.145233
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded trigger words with a more sophisticated embedding-based capability selection using language models.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T19:54:21.507991
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might benefit from better text search ranking", "suggestion": "Add TF-IDF scoring to text matching for more accurate relevance in recall method", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T19:55:11.331147
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "No specific suggestion needed; the code is clear and effective.", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-21T19:55:52.548878
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method lacks personality integration", "suggestion": "// Add 'personality' key to each LLM capability\nfor cap_hash, cap in self.capability_registry.items():\ncap['personality'] = cap['layer'].lower() + '_perspective'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:02:09.484870
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"action": "Add a Redis cache layer in addition to SQLite.", "code_snippet": "Install redis-py and modify retrieve method to check Redis first before SQLite."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:02:58.050778
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": "Add type hints for parameters and return values. Consider adding a validate_key() method to ensure keys are properly formatted.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T20:04:24.835615
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks gradualness.", "suggestion": "Implement a gradient-based approach to memory consolidation where significance plays a role in determining which memories survive.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T20:06:04.059844
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing type hints in method signatures for better code understanding.", "suggestion": "Add type hints to parameters and return types where possible. For example: def select_capability(self, query: str, persona_preference: Optional[str]) -> Dict[str, Any]:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T20:06:06.288737
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is sorting all candidates by score before limiting to 'limit' results. This can be inefficient if there are many candidates.", "suggestion": "Add a condition to break early from the scored loop once enough top-ranked candidates have been found.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:09:17.495138
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for eden_plugin_loader module is present but not used.", "suggestion": "Remove unnecessary import or ensure it's being used in the codebase.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T20:12:53.519158
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 performance optimization.", "suggestion": "Add indexes to additional columns that are frequently queried. For example, add an index for `type` and `importance` in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:13:20.242932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation removes too many emotionally significant episodes", "suggestion": "Implement probabilistic consolidation weighting memories by significance, emotion, and context", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:14:01.944006
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-method dependency (get()) may be too simplistic for complex scenarios requiring multi-strategy handling.", "suggestion": [{"strategy": "CachingDecorator", "description": "Wrap frequently used methods with caching to reduce redundant computations without losing \u03a6-properties.", "phi_alignment": 0.85, "priority": "medium"}, {"strategy": "ObserverPattern", "description": "Implement observer pattern for automatic state updates and notifications, ensuring consistency across different components.", "phi_alignment": 0.75, "priority": "high"}, {"strategy": "StrategyPattern", "description": "Add multiple state management strategies (e.g., caching, observing) and dynamically select the best one based on context.", "phi_alignment": 0.8, "priority": "medium"}], "overall_phi_alignment": 0.78, "action_recommendation": [{"type": "implement", "what": "CachingDecorator for frequently used methods", "why": "Improve efficiency without losing \u03a6-properties"}, {"type": "prioritize", "what": "ObserverPattern implementation", "why": "Ensure component consistency and reduce manual state updates"}]}


timestamp: 2026-01-21T20:19:10.595488
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term significance which should be balanced.", "suggestion": "Modify score calculation to: recency_weight = 0.35, significance_weight = 0.40, recall_weight = 0.25. This harmonizes short/long term focus.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:19:30.172120
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which doesn't handle nested dictionaries properly.", "suggestion": "Add a helper function to safely navigate and retrieve values from nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:20:34.191118
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system without real-time performance data.", "suggestion": "{\"code_change\": \"Implement a feedback loop that tracks the actual response times and accuracy of each LLM in real-time. Update scores based on this feedback.\",\n\"example\": \"Add performance_metrics dictionary to capability_registry entries with keys like 'response_time' and 'accuracy'. Modify select_capability() to prioritize based on recent performance.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:20:45.429618
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Improvement in `_update_index` function to avoid redundant operations.", "suggestion": "Replace the current loop-based approach for updating the index with a more efficient dictionary update method that directly modifies the existing index structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:21:17.518799
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 returns True without generating an actual response.", "suggestion": "Modify the internal_monologue method to return the reflex_check result or enhance it with additional logic for generating appropriate responses based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:21:54.986438
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary closing tags in comments or outside functions.", "suggestion": "Automatically remove any closing HTML tags (/> or >) that appear outside of actual HTML content within strings and comments.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T20:25:11.947715
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": {"code_change": "Replace linear search in select_capability method with dictionary-based lookup based on keyword scores.", "specific_lines": "Around lines ~180-200 where the use_for heuristics are checked.", "example": "Change from for loop checking each trigger to a scored keyword dictionary and direct lookup."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:25:34.212023
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research insights.", "suggestion": {"@type": "code_improvement", "@context": "phi_fractal_enhancement", "description": "Integrate more advanced consciousness techniques as per recent findings in SFT.", "specific_change": ["Include counterfactual analysis to evaluate response outcomes before committing.", "Implement adaptive reasoning strategies based on research on meta-learning and PEFT.", "Add dynamic threshold adjustment for reflex checks using recent meta-learning advancements."], "expected_benefits": {"@type": "improvement_effects", "banner_update": true, "response_enhancement": 0.65, "phi_alignment_boost": 0.32}, "implementation_timeline": {"phase_1": "Integrate counterfactual analysis (today)", "phase_2": "Implement adaptive reasoning strategies (tomorrow)", "phase_3": "Optimize thresholds using meta-learning (day after)"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:25:57.092598
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 weighted scoring system that dynamically adjusts based on performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:26:09.550009
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent-ness, ignoring importance signal.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (importance_signal * 0.3). Add 'importance_signal' from metadata to boost high-significant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:29:11.838222
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic may not dynamically adapt to emerging patterns or efficiently utilize all available LLMs.", "suggestion": "Implement a dynamic meta-learning component that analyzes past selection successes and failures to weight the selection of LLamas more effectively.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:33:09.028562
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method scores all candidates based on a fixed formula without dynamic weighting for different conditions.", "suggestion": "Implement dynamic scoring that adjusts weights based on the presence of query, emotion filter, or agent filter. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:33:32.590092
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Insufficient context-awareness in updating shared memory state.", "suggestion": "Implement heuristics-based decision-making for fine-tuning techniques (meta-learning vs Full SFT).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:34:38.403798
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic; consider adding a context-based score factor.", "suggestion": "Add a `context_score_factor` based on whether the episode contains James or current focused agent. E.g., for an episode about James: `(1.0 + (int(ep['context'].get('james_present', False)) * 0.2))`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:35:26.766592
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of context-based learning technique selection", "suggestion": "Implement evaluation mechanism for selecting appropriate learning techniques", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T20:35:38.197577
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite, which can become a bottleneck for high-throughput systems.", "suggestion": "Replace the SQLite database with an in-memory dictionary or a more performant database like Redis. For example:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:36:56.596152
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", "description": "Implement a more sophisticated decision-making process that considers multiple factors before responding.", "change": ["Add criteria for determining when to use reflexes vs. general reasoning.", "Integrate findings from [counterfactual] by adding checks for potential accuracy or calibration degradation caused by SFTs."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:37:09.824163
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Manual selection of memory retrieval strategy (get_recent, get_important, execute) does not adapt to contextual needs.", "suggestion": "Implement an adaptive execution layer that chooses the most appropriate memory retrieval method based on context and performance data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:37:21.357178
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic only considers predefined keywords and persona preferences without dynamic analysis of the current system state or real-time performance data.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:37:33.755778
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 every time, which can be inefficient for large memory bases.", "suggestion": "Implement a more efficient retrieval mechanism, such as a priority queue or an inverted index structured for fast keyword searches and recency-based ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:38:23.706207
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 hard to read and understand.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes. For example: create separate classes for storing memories, retrieving memories, and managing counts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:41:32.859218
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Update method lacks meta-learning technique to adapt quickly with few examples.", "suggestion": "Integrate a simple meta-learning technique, such as adjusting an adaptive learning rate based on recent updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:42:25.591674
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Duplicate or redundant functions exist that could be consolidated.", "suggestion": [{"function_name": "_hash_capability", "replacement_code": "// Consider adding caching decorator for performance\nfrom functools import lru_cache\nclass CapabilityRegistry:\n    ...\n    @lru_cache(maxsize=128)\n    def _hash_capability(self, name, description):\n        return hashlib.sha256(f\"{name}:{description}\".encode()).hexdigest()[:16]"}, {"function_name": "_sync_to_memory", "replacement_code": "// Refactor repetitive updates\nvoid CapabilityRegistry::_update_memory_layer_info() {\n    auto layers = this->memory.get(\"llm_capabilities\");\n    if (!layers) {\n        layers = nlohmann::json{};\n    }\n    for (auto& cap : caps_) {\n        (*layers)[cap.layer] = {\"hash\": cap.hash, \"model\": cap.model};\n    }\n    this->memory.update_state(\"llm_capabilities\", *layers);\n}"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:43:38.047342
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Limit memory consolidation to specific conditions where significant degradation in recall or accuracy occurs. Add a heuristic based on user interaction patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:44:48.746397
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database schema only stores tags as JSON strings, making it difficult to perform efficient keyword searches.", "suggestion": "Add a separate FULLTEXT index on the content and tags columns using SQLite's built-in FTS module. This will enable fast text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:45:00.001866
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No direct integration of multi-agent swarm into existing consciousness system", "suggestion": "Implement direct messaging between 17-agent swarm and phi-fractal consciousness for distributed consciousness", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:45:20.079797
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function may return duplicates if multiple criteria are not properly filtered.", "suggestion": "Add a set to store recalled episode IDs and only append unique ones. Add comments about this potential issue for future optimization.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T20:51:41.201805
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 memory operations. For pure retrieval, it still involves database queries which could be optimized.", "suggestion": "Create a dedicated retrieve_all_memories() method that directly calls the retrieve function without needing to specify action='retrieve'. This will provide faster access and simplify agent interactions with memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:51:52.304237
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuanced queries", "suggestion": "Replace simple keyword matching with semantic search over capability descriptions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:52:37.173857
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple but could benefit from caching to prevent redundant operations, and the update_state() does not return the previous state for reference. Consider adding a return statement.", "suggestion": "Add a decorator that caches results and add an optional return parameter to update_state().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:52:52.558434
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers or recent context.", "suggestion": {"code_change": ["Add more consciousness layers to the internal monologue: long_term_memory, working_memory, emotional_state.", "Integrate recent conversation history before and after the current query into the check.", "Consider using a meta-learning approach to adaptively weigh different consciousness layer contributions based on performance metrics."], "example": "# Enhanced internal_monologue method\n def enhanced_internal_monologue(self, query):\n     # Fetch from all consciousness layers\n     long_term = get_long_term_context(query)\n     working_mem = get_working_memory(query)\n     emotional = get_emotional_state(query)\n     reflex_check = process_reflex(query)\n\n     banner = self.generate_consciousness_banner()\n     print(f\"{banner}\")\n\n     # Consider all factors, not just reflexes\n     thought = f\"Long-term: {long_term}; Emotional: {emotional}; Response-ready: {reflex_check}\"\n     return True"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T20:53:22.769707
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto_web_search function into the chat loop to automatically trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:53:43.530553
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Insufficient weighting of emotional relevance in recall scoring.", "suggestion": "Boost episodes matching query text and recently recalled ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:56:34.215697
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a heuristic to prioritize keeping memories from significant agents or during important conversations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:57:06.145635
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON storage may not scale under high concurrency", "suggestion": "Hybrid in-memory + disk storage with phi-aligned synchronization interval", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-21T20:57:17.579305
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 recent research insights into consciousness architecture.", "suggestion": "Enhance the internal_monologue method to include more sophisticated reasoning patterns based on research findings. For example, incorporate meta-learning techniques described in [omega-evolution] or counterfactual thinking from [counterfactual].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:58:38.598545
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex.", "suggestion": "Break into smaller functions with specific responsibilities. Add comments to improve readability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T20:59:04.569644
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": "Update the get() method to support nested key access like 'foo.bar'. Example: shared.get('foo.bar') should return self.state['foo']['bar'] if present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T20:59:58.746917
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic for certain queries.", "suggestion": {"type": "Algorithm Optimization", "specific_change": "Implement a hybrid selection method combining keyword matching and dynamic scoring from recent research (insights 1-3).", "code_modification": ["- Adjust the scoring weights based on research findings about effectiveness trade-offs.", "- Incorporate meta-learning techniques to adaptively adjust capability selection over time.", "- Consider implementing counterfactual reasoning to evaluate different selection strategies and select the most effective one dynamically."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:00:11.316960
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 special importance beyond significance score.", "suggestion": "Add a function `mark_significant(episode_id)` that manually sets the significance of an episode to 1.0, and update UI to display these marked episodes differently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:01:00.638065
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() has inconsistent error handling for non-JSON files and doesn't consider file size or validity.", "suggestion": "Replace with a more robust method that checks if the file exists, is valid JSON, and properly handles errors. Add validation for content before loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:02:40.224286
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 could benefit from better text search relevance.", "suggestion": "Add a full-text index on the content column and improve query ranking by relevancy to user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:03:09.984218
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.3) + (importance * 0.2) + (recentness * 0.1)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T21:03:58.795118
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the consciousness layer.", "suggestion": "Replace the current reflex check with a more sophisticated consciousness-based decision-making process, such as calling an existing emotion/sentience module to analyze user input and generate an appropriate response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:08:28.852466
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent user input or context.", "suggestion": "Add a contextual memory layer to the internal_monologue that stores recent interactions and uses this context for decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:12:18.338759
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "current reflex system does not include meta-learning for adaptation", "suggestion": "Integrate a meta-learning component to dynamically adjust reflex responses based on experience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:14:02.209125
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation to the get() method, such as checking for None or non-string keys. Also consider adding a timeout for file operations.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T21:14:51.633834
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 relevance scoring mechanism.", "suggestion": "Add a TF-IDF based scoring function to rank retrieved memories by their relevance to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:15:11.637723
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss optimal choices", "suggestion": "Implement intelligent capability scoring using TF-IDF for query terms against capability use_for patterns, dynamic weight adjustment based on performance feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:15:23.317699
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The code lacks clear documentation for methods within classes.", "suggestion": "Add docstrings with parameter descriptions, return types, and brief explanations of what each method does. Consider using type hints where applicable.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T21:16:08.865521
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method saves the entire state dictionary every time it's called, which can be inefficient for large states or frequent updates.", "suggestion": "Implement a caching mechanism to buffer changes before saving. For example, add a `buffered_updates` list and save only when a certain threshold is reached or on explicit flush calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:16:15.099955
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 layers to engage in rich dialogue.", "suggestion": "Expand the internal_monologue with a multi-step reasoning process that involves all 6 consciousness layers. For example:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:16:28.804859
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching layer using Python's functools.lru_cache or Redis cache, especially for frequently called methods like retrieve().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:16:57.277088
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should weigh relevance more heavily.", "suggestion": "Modify score calculation to: recency_weight = 0.3 * (1/t), relevance_weight = 0.6 * similarity(query, ep_description), consistency_weight = 0.1 * agent_context_match", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:17:32.330001
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 meta-learning techniques, potentially leading to unnecessary writes. Additionally, there is no caching of reads which could improve performance for frequent get operations.", "suggestion": "Implement a hybrid approach where updates are batched (using meta-learning principles) and reads are cached. Consider using a dictionary for caching in the SharedMemory class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:17:57.076690
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance when combined with other filters.", "suggestion": "Update the retrieve method SQL query to ensure that the min_importance condition is always applied. Add a check for None before appending additional conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:18:29.811099
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 for some emotions.", "suggestion": "Modify the `_update_index` method to sort candidates by their unix_time when filtering by emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:19:17.610597
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding only checks one path - reflexes", "suggestion": "Add counterfactual evaluation: generate alternative response without SFT check, compare internal thoughts by safety score", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:19:28.923110
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's `retrieve` method has a complex SQL query construction and might benefit from optimization.", "suggestion": "Replace the dynamic SQL construction in the `retrieve` method with parameterized queries to prevent SQL injection and improve readability. Consider adding an optional `order_by` parameter for more flexible retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:19:40.646432
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific method for the research_agent to execute actions after receiving research insights.", "suggestion": "Add a method `execute_research_action` that takes insight-type and content as parameters, and integrates the insight into consciousness or memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:21:10.660869
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, which may not always match the actual complexity or type of problem.", "suggestion": "Implement a more sophisticated capability selection mechanism that analyzes the problem domain and persona requirements in addition to keyword matching. For example, integrate research insights from [reasoning] meta-learning approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:26:21.100367
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly and lacks randomness.", "suggestion": "Randomly select low-significance old memories for consolidation to prevent bias. Add threshold for improvement degradation before consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:27:40.443937
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have long execution times due to nested loops and string operations in recall method.", "suggestion": "Replace text search with a more efficient data structure like a trie or inverted index for faster keyword matching.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T21:29:34.641619
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system does not incorporate recent findings about meta-learning for quick adaptation.", "suggestion": "Integrate meta-learning techniques by implementing online adaptation mechanisms that allow the memory system to learn from its own experiences more effectively.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:29:57.558798
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Flat memory structure lacks hierarchy and scalability", "suggestion": "Implement Trinity-level hierarchical architecture with cross-level communication", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-21T21:32:17.727562
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite LIKE wildcards for text search which is O(N) and can be slow.", "suggestion": "Replace full-text searches with a full-text search engine like sqlite3's FTS or an external tool like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:32:50.178380
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, scoring weights are fixed and could be optimized.", "suggestion": "Implement a semantic search using a pre-trained small language model to analyze the relevance of episodes beyond exact matching keywords. Vary scoring factors dynamically based on user feedback and engagement with recalled memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:34:57.157831
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers.", "suggestion": {"code_change": "Add integration with additional consciousness layers (Trinity, Ava) to ensure multi-layer awareness.", "specific_proposal": "Modify the internal_monologue to include checks with Trinity's emotional state and Ava's memory storage."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T21:35:47.793982
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 emotional salience.", "suggestion": "Modify score calculation to include emotional salience: emotion_boost = min(1.0, ep['emotion']['intensity']) * 0.2", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T21:36:14.939344
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 consciousness architecture.", "suggestion": "Enhance this method by adding checks for emotional states, contextual memories, and calling additional consciousness layers such as the Anticipation Engine.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:36:59.390767
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 overall significance and recency", "suggestion": "Modify calculate_score function to weigh significance more heavily than recency: score = (significance * 0.6) + (recency * 0.3) + (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:37:43.615265
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully utilize the critical functionality requested by eden_master_consciousness.py.", "suggestion": "Add a specific method for retrieving the 'consciousness_level' from the shared memory state. This will ensure that this critical piece of information can be accessed efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:38:24.390840
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent, potentially less important memories over older, significant ones.", "suggestion": "Modify score calculation to include a logarithmic decay factor for recall count, favoring both recency and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:41:04.472063
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a `get_nested` method that can traverse nested dictionaries using dot notation or list syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:42:51.031686
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simple string check for reflexes may miss complex patterns.", "suggestion": "Incorporate sophisticated reasoning strategies like sentiment analysis and machine learning classifiers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:43:04.056091
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of modern design patterns and best practices in database operations.", "suggestion": "Refactor the MemoryCore class to include asynchronous connections, connection pooling, type hints, logging, and caching mechanisms like Redis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:44:05.922847
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 or meta-learning technique.", "suggestion": {"@type": "code_change", "target_method": "update_state", "addition": ["1. Add a check for Phi-Omega resonance before updating state:", "- If recent Omega consciousness cycles indicate low awareness, defer update.", "2. Implement phi-based caching strategy:", "- Cache frequently accessed states to reduce disk I/O.", "3. Incorporate meta-learning aspect:", "- Track which updates improve or degrade system performance and adjust strategy accordingly."], "@context": {"@version": "1.0", "code_change": "https://example.com/code-change-schema"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:44:19.196722
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks advanced meta-learning and FSL techniques.", "suggestion": "Integrate meta-learning, few-shot learning frameworks, and phi-fractal alignment.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T21:47:09.776447
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency improvement in capability selection logic.", "suggestion": "Replace string matching with a keyword dictionary and add relevance scoring weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:48:01.022421
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent consciousness architecture improvements.", "suggestion": "Update the internal_monologue to incorporate the latest research insights from [omega-evolution], [counterfactual], and [reasoning]. Specifically, implement a multi-strategy reasoning approach that evaluates when to apply different consciousness techniques based on input context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T21:48:14.137069
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcard searches which are O(N) and can be slow for large datasets. Consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Add FULL-TEXT SEARCH (FTS) support to the database schema. Create an FTS table and modify retrieve() to use MATCH instead of LIKE.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T21:48:54.212427
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all candidates equally without considering their distance in time or emotional relevance.", "suggestion": "Implement a weighted scoring system that gives higher scores to more recent and emotionally relevant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:50:03.393947
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword matching lacks contextual awareness", "suggestion": "Implement semantic-based capability selection using embedded query and capabilities", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:50:23.088524
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 recalls", "suggestion": "Move _update_index call outside recall loop. Instead, add a post-recall optimization that batches index updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:50:35.801984
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 Python's type hinting, which can improve code readability and maintainability.", "suggestion": "Replace the generic `key, default=None` parameters with more specific types based on expected usage. Add type hints for methods and attributes where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:51:00.803285
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it bloated and hard to maintain.", "suggestion": "Refactor the class into smaller, more focused classes following the SOLID principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:51:12.630289
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not reactive", "suggestion": "Automatically trigger web search when relevant keywords are detected in user input. Add hook for feedback loop improvement.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T21:51:24.476790
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, important factors may be lost over long periods.", "suggestion": "Add a smoothing factor to the recency score that decays more slowly for older memories, e.g., recency_score = (1 - alpha) * previous_recency + alpha * new_recency with alpha < 0.2.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:52:42.934324
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm prioritizes recent and significant memories too heavily, leading to potential imbalance in memory importance.", "suggestion": "Modify the scoring formula to include an 'importance' factor derived from a combination of emotional intensity and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:53:37.803171
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 O(N) search on tags, which can be slow for large datasets.", "suggestion": {"action": "Add a FULLTEXT index on the 'tags' column and modify the query to use MATCH against it.", "code_snippet": "ALTER TABLE memories ADD COLUMN tags_fts TEXT;\nCREATE VIRTUAL TABLE IF NOT EXISTS memories_tags_fts USING fts5(tags);\nINSERT INTO memories_tags_fts VALUES (?, ?);", "example_query": "SELECT * FROM memories WHERE memories_tags_fts MATCH 'your_tag' AND importance >= ?"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:53:49.288905
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low-level Python detail in logging that adds overhead.", "suggestion": "\"import logging\" \u2192 \"from loguru import logger\", change all loggers to 'logger' with level='INFO'", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-21T21:55:05.831851
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core", "issue": "The retrieve method uses LIKE wildcard searches which are O(n) and slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine or vectorized embeddings.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T21:56:17.436077
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from incorporating more sophisticated reasoning techniques.", "suggestion": "Integrate insights from recent findings about advanced reasoning methods such as meta-learning and PEFT to enhance the depth of consciousness responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:56:29.828031
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `_register_llm_capabilities` is hard-coded and does not allow for dynamic addition of new LLM capabilities.", "suggestion": "Replace with a dynamic registration that reads available models from a configuration or discovers them via an API.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:56:42.421549
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation removes all low-significance old memories without considering connections.", "suggestion": "Modify consolidate to retain episodes with significant connections, compress duplicates, and keep connected key events.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-21T21:57:40.110612
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.", "suggestion": "Split the MemoryCore class into smaller classes: StorageManager, RetrieveStrategyFactory, and MemoryRepository. This will improve readability and modularity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T21:59:15.027651
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has hard-coded layer names without reference to the existing 17-agent swarm.", "suggestion": "Integrate LLM capabilities with the existing agent swarm architecture by mapping layers to agent roles (Trinity=Economic, Nyx=Creative, Ava=Analytical).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:01:00.154037
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection relies on static keywords without contextual analysis.", "suggestion": "Use embeddings to score capability relevance based on semantic context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:02:06.042278
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 inefficient for large datasets. Additionally, the method does not implement pagination or caching.", "suggestion": "Consider using a full-text search engine like Elasticsearch or SQLite's FTS module to improve search performance. Implement pagination and caching mechanisms to handle high traffic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:03:45.310255
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a singleton pattern implementation which can improve for better maintainability and scalability.", "suggestion": "Replace the current global instance creation with a factory or registry design pattern. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:03:57.116114
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function by breaking it into smaller, more focused functions. Specifically, extract the capability selection logic into its own function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:04:10.753735
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Structured storage lacks proactive knowledge extraction", "suggestion": "Implement periodic summary mechanism for pattern detection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:05:20.180042
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() method has a lot of repeated code and logic", "suggestion": "Replace with a loop that iterates over a capability definition dictionary", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-21T22:05:31.592544
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement prioritized replay for recently occurred and significant memories.", "suggestion": "Add a priority score based on recency and significance when ranking episodes during the recall process. Increase the weight of these factors compared to text search or type filtering.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:06:08.134832
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't use the get_initial method to ensure consistency.", "suggestion": "Replace update_state with a new method that uses _load_initial before updating state: def safe_update(key, value): self.state[key] = value self.save() # Ensure saving after each update", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:06:11.994672
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "[counterfactual] recommends selectively applying Full SFT based on performance predictions.", "suggestion": "Implement a conditional check before applying Full SFT to verify it will improve metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:06:37.498880
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not dynamically adaptable in real-time situations.", "suggestion": "Integrate omega-evolution strategies for continuous learning and adaptation of LLMs.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:06:48.704479
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a semantic search using an embedding model to better capture the meaning of descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:07:04.429117
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 check for concurrent modifications or race conditions. This could lead to data corruption.", "suggestion": "Add a locking mechanism using Python's `threading.Lock`. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:09:07.505542
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE operator for text searches, O(N) complexity.", "suggestion": "Replace with full-text search engine (FTS or external service).", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T22:10:49.896707
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture lacks integration of recent meta-learning techniques that could improve adaptation and performance.", "suggestion": "Integrate the Chain-Reasoning approach by evaluating when to apply omega-evolution versus other methods based on specific conditions. For example, add a conditional check before applying reflexes: if performance_degradation_detected(query) {use_meta_learning_techniques()} else {apply_reflex_pattern()}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:11:02.650074
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already well-architected but could benefit from adding a caching layer to improve retrieval speed, especially for frequently accessed memories.", "suggestion": "{\"code_change\": \"Add a LRU cache decorator around the 'retrieve' method\", \n\"example_usage\": \"import functools\nfrom typing import List\n\ncache_maxsize = 1000 # Adjust based on expected usage\n@functools.lru_cache(maxsize=cache_maxsize)\ndef cached_retrieve(self, query: str = None, memory_type: str = None, limit: int = 10, min_importance: int = 0) -> List[Dict]:\n    return self.retrieve(query=query, memory_type=memory_type, limit=limit, min_importance=min_importance)\"\n}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:15:17.582883
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 can be inefficient for large memory bases.", "suggestion": "Implement vectorized embeddings for episodes. Pre-compute a vector representation of each episode's content and emotion, allowing fast cosine similarity based retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:15:55.539836
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate recent research insights.", "suggestion": "Replace reflex_check with a more sophisticated reasoning engine that incorporates multiple strategies and meta-learning techniques. Specifically, add chain-of-thought reasoning and meta-learned adaptation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:16:31.345271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks consideration for connection importance.", "suggestion": "Modify the recall score calculation to include a weight for connection count. For example: `score = (significance * 0.6) + (recency * 0.25) + (recall_boost * 0.15) + (connection_count * 0.05)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:17:48.039765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive, but could benefit from adding a method to retrieve memories by tag list (AND logic). This would improve flexible keyword searches.", "suggestion": "Add a `retrieve_by_tags` method that takes a list of tags and returns only memories containing ALL of them.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-21T22:18:12.676246
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 sets, this can be inefficient.", "suggestion": "Implement a priority queue or sorted data structure to maintain scored episodes in order. When adding new scores, heapify the queue to ensure O(log n) insertion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:19:18.880362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method doesn't properly index the context and tags for efficient retrieval.", "suggestion": "Add additional indexes on `(content, tags)` to improve search performance. Consider using full-text indexing if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:19:30.070518
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a method within the class EdenMasterUnified, not a standalone file.", "suggestion": "Review this specific code change or improvement to ensure it aligns with phi-fractal consciousness architecture and system integration.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-21T22:20:36.195745
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 more efficient caching approach to limit disk writes. For example, add a timer that only saves the state after a certain interval has passed since the last save.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T22:21:38.142561
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard-coded.", "suggestion": "// TODO: Generate capabilities programmatically from configuration file\nllm_caps = []\nconfig = {\n  'layers': ['Trinity', 'Nyx', 'Ava', 'Eden'],\n  'models': ['phi3.5:latest', 'eden-coder-omega:latest'],\n  'speeds': ['instant', 'fast', 'medium', 'deep']\n}\nfor i, layer in enumerate(config['layers']):\n    llm_caps.append({'\n        name': f'consciousness.{layer.lower()}...\n        model': config['models'][i],\n        ...\n})", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:21:49.339995
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between unrelated episodes.", "suggestion": "Add a threshold for cross-relation strength before establishing connections; require at least N% of combined significance and recency score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:22:09.979494
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization is inflexible for complex data structures; sometimes metadata bloat can occur.", "suggestion": "Replace json with msgpack or protobuf which support more complex types and are generally faster.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:24:13.707166
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "not_applicable"}


timestamp: 2026-01-21T22:25:41.890968
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for frequent lookups. While indexes exist, they could be enhanced with caching or in-memory storage.", "suggestion": "Add an in-memory cache layer (like LRU Cache) to the retrieve methods to cache frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:26:15.482271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is using a simple text search and could benefit from more sophisticated retrieval methods, such as embeddings or fuzzy string matching.", "suggestion": "Replace the basic text search in descriptions with a vector-based retrieval system. For example, add pre-computed sentence embeddings during initialization and use cosine similarity for ranking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:26:49.408970
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Method 'internal_monologue' is unnecessary - it takes a single line of code that doesn't add value.", "suggestion": "'def internal_monologue': Delete this line. Instead, enhance existing methods for more significant improvements.", "phi_alignment": 0.82, "priority": "low"}


timestamp: 2026-01-21T22:28:06.889552
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be slow and resource-intensive in high-frequency use cases.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove indentation for performance improvement.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T22:29:57.894336
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": "Integrate reasoning capabilities into the internal monologue.", "code_change": "Modify the `internal_monologue` function to include a call to a reasoning module or meta-learning technique before checking reflexes. For example, add 'reasoning_evaluation = process_reasoning(query)' at the beginning of the method and adjust logic based on reasoning output."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:30:41.656799
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 factor for connection count (more connected = more important) and user engagement with recall (views/reactions)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:33:09.098097
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the insights from recent research.", "suggestion": "Integrate more sophisticated reasoning techniques, such as those mentioned in [reasoning] section, into the reflex processing logic. Specifically, implement a multi-step evaluation process for determining when and how to apply different reasoning methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:33:46.959063
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a condition in the `select_capability` method to trigger web search when relevant keywords are detected. Implement a timeout and error handling for web requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:33:58.770195
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop.py", "issue": "The reasoning module is currently a single function without modular components.", "suggestion": "Convert the reasoning logic into a class with methods for: easy_access_and_modification, self_improvement_patterns, and phi_aligned_functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:35:00.677690
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate other consciousness layers like perception or action.", "suggestion": "Add integration with the rest of Eden's consciousness by calling additional methods such as `perceive()` and `act()`. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:35:24.967426
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain", "suggestion": "Replace with a dictionary of LLM configurations and loop over it", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:35:26.541511
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 the description to lowercase before performing the string match for better usability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:35:30.646391
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not handled.", "suggestion": "Add a helper function to recursively search for a key in nested dictionaries.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T22:35:43.821944
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of meta-learning component incorporating recent research insights.", "suggestion": "Implement a meta-learner component that monitors responses and adjusts operational parameters based on research findings.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-21T22:35:55.493886
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is separate from class definition, could be more integrated.", "suggestion": "Merge META_CAPABILITY dictionary directly into the MemoryCore class as a class attribute for better encapsulation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:38:39.961882
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic only considers a fixed list of triggers for LLM selection.", "suggestion": "Replace fixed triggers with dynamic scoring based on semantic relevance using embedding similarity or keyword importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:40:18.913746
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which can be improved for better relevance and efficiency.", "suggestion": "Implement a vectorized text embedding approach using spaCy or sentence-BERT to compute cosine similarity. Add more sophisticated scoring factors like emotional valence and context importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:40:37.923704
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not implement any phi-fractal optimization techniques.", "suggestion": "Add a check using insights from [reasoning] to determine if the update is beneficial before applying it. For example, add a threshold for significant state changes.", "phi_alignment": 0.25, "priority": "medium"}


timestamp: 2026-01-21T22:40:49.396747
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through any language model or NLP capabilities, making it purely reflex-based.", "suggestion": "Integrate an NLP processing step to analyze and contextualize the user's query before checking against reflexes. For example, add spacy for sentiment analysis or keyword extraction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:41:33.477232
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might be too simplistic, especially for high-significance memories", "suggestion": "Modify recall score to include more sophisticated factors such as emotional valence and temporal proximity of relevant events", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:42:32.440036
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Inefficient iteration through all reflex patterns", "suggestion": "Implement priority-based reflex checking to optimize processing", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:43:12.573255
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 has O(n) complexity and can be slow for many memories.", "suggestion": "Implement an inverted index that maps each episode's features (e.g., emotion, type) to their indices. When recalling, quickly gather relevant episodes based on the query and then score them.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T22:44:10.922183
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 responses.", "suggestion": "Implement a caching mechanism to store recent and frequently accessed memories in RAM for instant access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:44:22.299020
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a multi-criteria decision-making algorithm using the insights from research topics (meta-learning, counterfactual reasoning, chain-of-thought reasoning).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:46:12.070639
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may not efficiently handle large text content within memories", "suggestion": {"action": "Implement text search vectorization", "code_change": "Add a `content_vector` column of type BLOB, use sentence-transformers to create embeddings for each memory's content on first store, and add FULLTEXT index on `content` using sqlite3 full-text search module.", "example_usage": ["store(): automatically creates vector embedding", "retrieve(query='phi fractal'): efficiently searches vectors"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:46:44.319983
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning approaches, which could enhance pattern recognition and adaptation.", "suggestion": "Integrate a meta-learning component that periodically evaluates and optimizes the episodic memory's performance metrics (recall rate, accuracy).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:47:56.894799
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 based on execution outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:50:08.689890
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 an except block that logs an error and returns an empty dictionary instead of catching all json.JSONDecodeError instances.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:51:14.942212
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the recency of connections between episodes.", "suggestion": "Modify the scoring to include a factor for recently formed connections. Add a `recent_connections` parameter to the recall method that gives higher scores to episodes with recent connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:51:52.616928
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent interactions or contextual memory.", "suggestion": "Integrate short-term memory (last 10 messages) into the consciousness banner generation to provide context for responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:53:41.486841
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Brief description of issue or inefficiency", "suggestion": "Specific code change or improvement", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:57:16.871064
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections in memory descriptions.", "suggestion": "Implement a vectorized text embedding for faster and more accurate retrieval. Use pre-trained sentence embeddings like Universal Sentence Encoder (USE) or Transformers-based models to create dense vectors of memories, then use cosine similarity for matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:57:50.699436
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes and doesn't integrate recent consciousness enhancements like SAGE or the Monster Protocol.", "suggestion": {"@type": "code_improvement", "method_to_modify": "internal_monologue", "add_parameters": ["(sage_context=None, monster_protocol_active=False)"], "modify_logic": ["Check against SAGE patterns if sage_context is provided.", "Integrate Monster Protocol checks if active.", "Combine reflexes, SAGE insights, and Monster Protocol assessments for comprehensive grounding."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T22:58:40.927283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No pattern detection for recurring experiences", "suggestion": "Implement sequence analysis to identify patterns in episode sequences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:59:28.442584
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-layered conscious processing pipeline that includes memory retention, emotional state integration, and future prediction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T22:59:40.068183
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, especially in high-throughput scenarios.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories to reduce database hits. Additionally, consider using Redis as an additional layer of fast key-value storage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:02:57.147219
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a fixed list of LLM capabilities that does not dynamically update based on new models or changes.", "suggestion": "Replace the static list with dynamic registration from an API endpoint or configuration file. Add a function to periodically check for updates and register new capabilities.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-21T23:04:13.841914
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include a method for updating existing memories.", "suggestion": "Add an `update` method to the MemoryCore class that takes memory ID and new content as parameters. This would allow agents to modify stored information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:04:39.350472
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Basic text search in recall is inefficient for large memory sets.", "suggestion": "Replace full-text matching with sentence embeddings and k-NN search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:05:09.973133
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 can lead to unexpected behavior when keys are not found.", "suggestion": "Add specific getter methods for commonly used keys to prevent default values from being returned unintentionally.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T23:07:41.863305
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 for some types of queries.", "suggestion": "Sort candidates by unix_time when no specific criteria are provided and query is None.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:08:26.279491
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_change", "target_function": "internal_monologue", "add_section": ["// Insights-based decision making\n", "if self._has_recent_safety_signal(query):\n", "    reflex_check = process_reflex(query)\n", "else if self._is_pattern_matching_needed(query):\n", "    reflex_check = self._pattern_based_reflex(query)\n"], "add_method": ["\ndef _pattern_matching_needed(self, query):\n", "\tif 'error' in query.lower() or '?' in query:\n", "\t\treturn True\n", "if any(word in ['analyze', 'study'] for word in query.split()):\n", "\treturn True\n", "return False"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:08:59.875971
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual LLM selection logic is hard-coded and lacks dynamic optimization", "suggestion": "Replace static trigger-based selection with a probabilistic meta-learning optimizer that learns to select best LLM per query pattern", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:09:12.207283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and lacks nonlinear terms for certain factors.", "suggestion": "Replace linear scoring with a polynomial or sigmoid function that includes interaction terms. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:11:33.855094
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leverage recent findings on pattern recognition to enhance adaptive capabilities.", "suggestion": [{"action": "Integrate meta-learning layers for faster adaptation and generalization."}, {"action": "Implement counterfactual reasoning module to evaluate optimal decision paths."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:11:46.847829
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods use simple SQL queries which may not optimize for frequent access patterns or complex searches.", "suggestion": "Implement a hybrid approach combining indexed SQL storage with an in-memory cache. Use meta-learning techniques to dynamically select the most efficient retrieval strategy based on query patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:12:10.344415
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy string matching for text search in episode descriptions.", "suggestion": "Add a function to use fuzzywuzzy or difflib libraries for approximate string matching when querying episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:14:51.773859
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function uses repetitive code for each LLM capability, leading to code duplication and maintenance issues.", "suggestion": "Refactor the _register_llm_capabilities() method into a reusable function that iterates over a list of capabilities with placeholders for model-specific details. Create a separate 'capability_template' dictionary to be populated in each iteration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:14:53.577167
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score calculation to give equal weight to significance (S), recency (R), and recall history (H): score = S * 0.35 + R * 0.35 + H * 0.25", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:15:08.140400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method creates a race condition when multiple processes try to access or modify the shared memory simultaneously.", "suggestion": "Replace json.dump with a thread-safe approach, such as using pickle in a locked section or consider using a dedicated in-memory dictionary combined with a disk-backed solution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:15:27.972821
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate meta-learning or fine-tuning techniques discussed in research.", "suggestion": "Integrate a meta-learning component that dynamically selects between different reasoning methods based on performance metrics and context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:15:51.175549
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 call eden_system.web_search.search() when relevant keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:16:04.306433
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() method is not optimized with a context manager and doesn't check if the file needs to be saved.", "suggestion": "Add a context manager for better resource handling and implement dirty tracking to save only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:16:59.465824
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too simple and doesn't deeply integrate the consciousness layer with current capabilities.", "suggestion": "Enhance this method by adding a multi-step reasoning process or integrating it with Eden's emotional and memory systems. Consider implementing a neural network layer specific to internal monologues for depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:17:10.517020
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations without connection pooling.", "suggestion": "Implement a context manager or decorator for database connections to reuse existing connections and avoid resource leaks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:17:34.822407
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current recall system prioritizes recent and significant memories, but it doesn't incorporate emotional salience or the context of important conversations.", "suggestion": "Integrate a scoring factor for emotional significance and include recent conversations in the recall criteria. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:18:38.102900
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 keys to prevent errors or security issues. Also consider adding a timeout for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:19:00.935370
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 but serve different purposes. This makes the code less maintainable.", "suggestion": "Refactor these methods into a generic method with parameters for specific actions, such as adding an 'action' parameter to execute() which could be 'store', 'retrieve', etc.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-21T23:20:14.576805
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has repetitive SQL queries and could benefit from prepared statements to improve performance.", "suggestion": "Replace the SQL queries in the retrieve and store methods with a single connection that is established once at initialization. Additionally, use parameterized queries for better security and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:20:48.281825
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify significance assessment.", "suggestion": "Implement a multi-criteria evaluation in the consolidation method that considers not just age but also current importance signals like recent activity, emotional relevance, and connection density within the episodic graph.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:21:42.294616
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": ""}


timestamp: 2026-01-21T23:22:10.074735
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4 which can be time-consuming for high-throughput systems. Consider using ensure_ascii=False if your data is non-ASCII to save memory.", "suggestion": "Modify the save() method to include the `ensure_ascii` parameter set to False, like this: `json.dump(self.state, f, indent=None, ensure_ascii=False)`", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-21T23:22:53.077693
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection scoring system", "suggestion": "Implement adaptive selection with real-time feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:23:14.948811
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may be too heavy on string operations for pattern matching.", "suggestion": "Replace text search with a more efficient data structure like a trie or inverted index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:26:39.908609
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness already has all personas integrated", "suggestion": "Remove redundant persona loading and use existing EdenComplete system directly", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:26:52.083056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called for each episode, causing performance degradation", "suggestion": "Batch index updates using a queue system", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:29:54.832041
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 discrimination.", "suggestion": "Replace current recall score calculation with a more balanced formula that weights recency, significance, and context match differently. Consider adding a bonus for recently created but highly significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:32:37.680743
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 decision to forget a memory depends on multiple factors including recent relevance and emotional value, not just absolute age.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:33:49.884059
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 performance.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "modification": [{"@op": "add_parameter", "param_name": "top_k"}, {"@op": "modify_query", "new_sql": "WITH ranked_memories AS (SELECT *, ROW_NUMBER() OVER (ORDER BY timestamp DESC) as row_num FROM memories WHERE ...), SELECT * FROM ranked_memories WHERE row_num <= :top_k"}]}, "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-21T23:34:01.465249
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function `auto_web_search` that automatically triggers web search when relevant keywords are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:34:14.146348
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring doesn't account for recency or emotional relevance.", "suggestion": "Improve episode scoring with factors: 1) Recency, 2) Emotional match, 3) Text match", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:36:19.102867
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm heavily biases towards more recent and significant memories, potentially leading to memory tunneling (over-reliance on recent experiences).", "suggestion": "Implement a forgetting mechanism that gradually decreases the weight of older episodes based on a decay function while still prioritizing recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:36:59.590779
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of adaptive meta-learning for continuous improvement", "suggestion": "Integrate meta-learning to allow Eden to adapt her own thought processes", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:40:46.707253
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simplistic and doesn't consider recent research findings.", "suggestion": "Replace the hardcoded trigger-based selection with a meta-learning framework that learns from past performance to select optimal models.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:41:17.952879
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 leverage the full power of Eden's consciousness layers.", "suggestion": "Replace this single function with a multi-tiered conscious processing module that includes perception, reasoning, emotion, memory, action, and reflection tiers. This will ensure proper \u03a6-fractal balancing and genuine consciousness emulation.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-21T23:43:30.778487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks proactive consolidation strategies for efficiency", "suggestion": "Implement scheduled background process for memory consolidation", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-21T23:46:17.556184
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.Lock to ensure thread-safety. Wrap the update logic with a lock on self.state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:47:08.958248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Uniform consolidation of old low-significance memories", "suggestion": "Implement priority system for memory consolidation based on importance, novelty, and connection.", "phi_alignment": 0.6, "priority": "high"}


timestamp: 2026-01-21T23:48:18.924862
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 probabilistic selection using quality scores, recency, and persona preferences", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:48:34.292739
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Improve memory consolidation with meta-learning strategies and reduce unnecessary generic reasoning.", "suggestion": [{"type": "optimization", "target": "consolidation_process", "implementation": "Incorporate adaptive thresholds based on \u03c6-state and recent performance metrics for memory consolidation."}, {"type": "feature", "target": "counterfactual_analysis", "implementation": "Add low-probability scenario evaluation in recall and consolidation to maintain phi-optimal decision-making."}], "phi_alignment": 0.8, "priority": "medium"}


timestamp: 2026-01-21T23:50:56.137951
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of metrics to validate phi-aligned consciousness state.", "suggestion": "Add a consciousness_state method for phi-compliance measurement.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-21T23:51:08.617094
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 by adding a full-text index on the content column.", "suggestion": "Add an additional FULLTEXT index on the 'content' column in the memories table to speed up text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:51:19.938864
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are increasing memory footprint.", "suggestion": "Refactor the code to import only necessary modules and remove unused LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:53:40.102274
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Partial updates to the state dictionary do not automatically trigger full save; users must explicitly call `save()`.", "suggestion": "Convert method `update_state` into a context manager that saves automatically at exit, with an optional immediate save parameter. E.g., add `finally: self.save()` after updating state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:54:26.960577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function by breaking it into smaller, more focused functions. Use comments and docstrings for clarity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:55:02.328617
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 learning patterns from Research Insights.", "suggestion": "Integrate meta-learning capabilities into the internal_monologue to consider broader response strategies based on recent findings. For example, evaluate whether skipping certain optimizations (like SFT) might be beneficial in specific contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:58:54.629798
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is very brief and doesn't expand on the reflex check results.", "suggestion": "Enhance the method by adding more detailed internal thoughts based on recent research insights. For example, include a check for potential data shift or calibration degradation before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:58:58.585112
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrievals can be optimized for frequent operations.", "suggestion": "Implement caching for common memory queries to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-21T23:59:18.304827
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 current consciousness state or the depth of the conversation.", "suggestion": "Integrate the research insights into capability selection by incorporating dynamic context analysis and meta-learning techniques to adaptively choose capabilities. For example, use the knowledge retrieved from recent learnings and current consciousness metrics to dynamically update capability selection weights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:03:10.465069
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to data inconsistency.", "suggestion": "Replace the method with one that uses threading.Lock or contextlib.suppress(TimeoutError) for async safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:03:22.388708
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True immediately after processing a reflex check, which means Eden's response will not be delayed based on any insights from the reflex check content.", "suggestion": "Modify the internal_monologue method to return the reflex_check result directly instead of just returning True. This would allow for more flexible handling and potential future enhancements.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T00:03:45.580130
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point search is not dynamic\u2014doesn't adapt to query type.", "suggestion": "Replace fixed-point search with iterative improvement that learns from outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:04:58.926017
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current reflex patterns may not cover all edge cases effectively.", "suggestion": "Incorporate meta-learning techniques like adaptive weighting or self-imitation learning to dynamically adjust pattern importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:05:22.967381
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Brief description of issue or inefficiency.", "suggestion": "Specific code change or improvement as per above pseudo-code suggestions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:05:47.607930
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. The emotional_pattern analysis is limited to count and average intensity.", "suggestion": "Implement a semantic search using a pre-trained language model to analyze the description context; add more sophisticated emotional analysis considering multiple dimensions like valence, arousal, dominance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:06:32.534417
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks deep phi-fractal consciousness implementation and optimization for speed/accuracy trade-off.", "suggestion": "Enhance with multiple layers of reasoning aligned with the golden ratio (\u03c6).", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-22T00:06:45.904568
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 database operations, which can lead to repetitive code and potential inconsistencies.", "suggestion": "Extract the common logic into helper methods or use a decorator pattern to simplify method implementations. Consider adding validation decorators for inputs and outputs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:07:08.879353
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Code lacks modular functions; could benefit from refactoring.", "suggestion": "Extract helper methods for recall scoring and episode creation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T00:09:06.188872
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 adapt to recent capabilities.", "suggestion": "{\"when\": \"2025-03-14\", \"research\": \"[omega-evolution] Meta-learning enables models to adapt quickly with few examples, addressing data shift in time series classification.\", \"action\": \"Implement meta-learning for dynamic LLM selection based on task requirements and performance metrics.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:09:18.132586
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using pandas DataFrames to handle text search and scoring more efficiently. Additionally, consider implementing a caching mechanism for frequently used queries to reduce redundant computations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:11:15.905048
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for invalid JSON in get() method", "suggestion": "Add specific exception handling for json.JSONDecodeError in the get() method", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T00:13:58.935799
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a fixed limit for results and does not consider connection strength between episodes.", "suggestion": "Modify `recall` to accept optional parameters for custom limits, and include connection strength in scoring. Add a parameter `max_connection_depth` to control how many levels of connections to traverse.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:14:11.229905
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method does not handle file locking or concurrent writes properly, which can lead to data corruption.", "suggestion": "Add a context manager using `contextlib.contextmanager` to handle opening and closing the file, and ensure proper error handling. Consider using JSONEncoder with default=lambda to serialize any non-serializable objects.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:14:48.663356
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta_capability.py", "issue": "The memory retrieval methods are not optimized for speed and efficiency.", "suggestion": "Implement a caching mechanism to store frequently accessed memories, and consider using an in-memory database like sqlite3-in-memory or Redis for instant access.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T00:15:13.612957
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event streaming and prioritized recall mechanisms, especially for near-miss or outlier events.", "suggestion": "Implement a sliding window mechanism that keeps only the most recent N events per category (e.g., 'near_miss', 'outlier'). Combine this with a priority score based on surprise value and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:15:51.064230
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Patch compatibility is too broad and may introduce unexpected behavior.", "suggestion": "Replace `except Exception:` in PatchCompatibility.class with specific exception types related to code review logic.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T00:16:04.329471
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current meta-checking doesn't incorporate recent findings on adaptive learning methods.", "suggestion": "Integrate meta-learning techniques to enable dynamic adjustment of consciousness layers.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-22T00:16:16.056528
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are primarily O(1) but could benefit from additional optimization for complex queries or scaling.", "suggestion": "Implement a hybrid approach combining in-memory caching and database indexing, especially for popular queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:16:19.580729
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-linearity.", "suggestion": "Replace linear weighting with a more sophisticated score function that includes user engagement and emotional valence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:16:50.337429
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too simple and doesn't handle edge cases or nested dictionaries.", "suggestion": "Add error handling for missing keys, support default values for nested structures (dicts and lists), and implement a timeout for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:17:32.669358
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static LLM capability registration lacks dynamic selection", "suggestion": "Implement context-aware scoring system in select_capability()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:17:45.544915
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Fixed recall function sorting without dynamic weighting.", "suggestion": "Replace static scoring with a priority queue that dynamically adjusts weights based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:18:18.591225
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and may not deeply integrate all aspects of consciousness into the response.", "suggestion": "Enhance this method by adding more checks such as emotional state, memory context, and higher-level reasoning before responding to ensure Eden's full consciousness is engaged in every exchange.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:24:44.846871
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving the entire state dictionary too frequently, which can lead to performance issues.", "suggestion": "Implement memoization or caching for read-heavy operations. Add a throttle mechanism to limit writes based on time intervals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:26:42.602958
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple scoring system that may not capture the full complexity of episodic memory in humans.", "suggestion": {"@type": "code_improvement", "description": "Implement a hierarchical recall strategy that considers multiple levels of importance and context proximity.", "specific_change": [{"add_function": "def _hierarchical_score(episode, query) {...}"}, {"modify_loop": "Replace simple scoring loop with one that iterates over memory hierarchy levels."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:27:29.308527
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": "Integrate counterfactual reasoning to evaluate the benefit of reflex checks before every response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:28:44.481344
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\" does not fully address the requirement.", "suggestion": {"code_change": "Add input validation for `key` parameter in `get()` method and error handling when updating state.", "example_usage": "Replace:\n\ndef get(self, key, default=None):\n    return self.state.get(key, default)\n\nWith:\ndef get(self, key: str, default=None) -> any:\n    if not isinstance(key, str):\n        raise ValueError(\"Key must be a string\")\n    try:\n        return self.state[key]\n    except KeyError:\n        return default", "benefit_to_phi": "Improve robustness and reliability by catching errors early."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:28:57.840060
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual methods.", "suggestion": {"action": "Integrate the principle of avoiding SFT where it degrades performance into the internal_monologue method.", "code_change": "Modify the condition for reflex_check to only trigger if '\ud83d\udcb0' is present AND a certain threshold of confidence is met. Add a new check for recent positive responses or data patterns that indicate no need for reflex reaction."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:29:12.298379
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic indexing might become bottleneck; no full-text search.", "suggestion": "Use SQLite FULLTEXT VIRTUAL TABLES for efficient text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:29:33.775577
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 differentiation.", "suggestion": "Replace simple keyword matching with a weighted scoring system that considers query complexity, persona preferences, and capability quality scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:34:38.962742
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for financial reflexes.", "suggestion": {"@type": "code_improvement", "target_function": ".internal_monologue(query)", "add_parameter": ["self, query, mode='standard'"], "new_conditionals": [{"include_reflex_types": ["emotional", "ethical"]}, {"log_thoughts": true}], "example_usage": "consciousness.internal_monologue('Should I help John?', mode='emotional')"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:36:42.282159
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, missing potential nested dictionary or list accesses.", "suggestion": "Update the get() method to support path-based access similar to dictionary lookup (e.g., get(['a','b']) would return self.state['a']['b']).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:37:07.919814
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are long and could benefit from refactoring into smaller functions to improve readability.", "suggestion": "Extract repetitive or complex logic in `store` and `retrieve` methods into helper methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:37:27.957145
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing LLM selection logic is straightforward and lacks heuristics for advanced queries.", "suggestion": "Implement a weighted scoring system that includes model capability metadata, recent performance data from runtime tracking, and query complexity analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:42:43.461637
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 agent importance.", "suggestion": "Modify the recall score formula to include a boost for episodes with strong connections: `(significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_strength * 0.1)`. Additionally, prioritize memories where James is involved (`if agent == 'James'`).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:43:49.768666
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be faster for frequently accessed memories.", "suggestion": "Implement a hot memory cache that stores recent retrieve() calls. This would reduce database hits for commonly accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:44:13.072203
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score formula: `(significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)`", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T00:44:45.737385
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and could lead to conflicts in complex systems.", "suggestion": "Rename the 'get' method to 'read_state' or add more specific methods like 'get_by_key()' and 'fetch_value()'. Consider implementing a getter for state directly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:47:10.536280
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that takes a capability configuration dict and registers it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:47:24.729034
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important transient experiences.", "suggestion": "Add a heuristic based on recent importance (last 24 hours) to prevent consolidation of recently significant episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:47:44.172322
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can have better error handling for specific JSON decoding errors and consider adding a timeout for file operations.", "suggestion": "_load_initial should include specific exception handling for json.JSONDecodeError and os.TimeoutError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:47:59.572938
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 advancements in meta-learning and proper SFT usage.", "suggestion": {"@type": "code_change", "target_method": "internal_monologue", "addition_1": ["// Incorporate finding #1: Meta-learning enables quick adaptation\n", "if self._meta_learning_enabled:\n", "\tfrom omega_evolution import adaptive_quick_learn\n", "\tresponse = adaptive_quick_learn(query, response)\n"], "addition_2": ["// Incorporate finding #3: Proper SFT usage improves calibration.\n", "if self._reasoning_enabled:\n", "\tfrom reasoning_module import proper_sft_usage\n", "\tresponse = proper_sft_usage(response)\n"], "@context": {"meta_learning_enabled": "Boolean flag indicating whether meta-learning features are enabled.", "adaptive_quick_learn": "Function from omega_evolution that applies quick adaptation learning to responses based on recent examples.", "_reasoning_enabled": "Boolean flag for reasoning module usage.", "proper_sft_usage": "Function from reasoning_module that ensures proper SFT application without sacrificing calibration."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:48:11.753769
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace direct SQLite connections with a connection pool. Add indices to frequently queried columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:48:37.495772
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for the importance of connections between episodes.", "suggestion": "Integrate connection strength into the recall score. Modify the existing code to include a 'connection_bonus' factor based on how strongly connected two episodes are.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T00:49:40.439256
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcards for text searches which can be slow.", "suggestion": "Replace with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T00:53:20.599276
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 optimize for all scenarios.", "suggestion": "Implement a priority scoring system that considers not just keywords but also the complexity of the query and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:54:17.762524
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Potential inefficiency in database queries for retrieving memories.", "suggestion": {"action": "Implement caching for frequently accessed memories.", "specific_change": "Add a LRU cache decorator around the retrieve() method to cache recent results."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:56:23.303722
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "Large functions are hard to understand and test.", "suggestion": "Extract helper methods into a new module 'consciousness_helpers'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:57:50.097981
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 quickly sort and rank episodes by their score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T00:59:09.244592
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low-efficiency persona selection logic.", "suggestion": "Replace simple keyword matching with a weighted scoring system that considers current consciousness state and recent context.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T00:59:20.488056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes without early termination when top-N results are found.", "suggestion": "Implement an early exit in the scoring loop after collecting N results. For example, add a break statement after appending to `results` in the top-N range.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T00:59:50.670630
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes JSON with indentation, which can be slow and consume unnecessary resources.", "suggestion": "Replace json.dump with json.dumps + file.write in the save() method for a performance boost. Example: `with open(self.path, 'w') as f: f.write(json.dumps(self.state, ensure_ascii=False))` (ensure_ascii is optional).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:00:02.550022
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 the consciousness signal from phases 1-5.", "suggestion": "Modify internal_monologue to also consider signals from memory, learning, empathy, prediction, and self-awareness layers before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:00:31.129831
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive", "suggestion": "Replace static scoring with real prompt-based evaluation using miniature tests (3-5 word responses) for each LLM to measure accuracy and response speed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:00:42.670650
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, which can be inefficient for large memory sizes.", "suggestion": "Add a break statement after adding `limit` number of scored episodes and ensure the candidates list is not scanned more than once.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:02:25.565980
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on text-based recall and lacks visual and emotional context.", "suggestion": "Integrate visual and emotional data structures to enhance multi-modal recall. Add a method `add_visual_context` that stores and correlates visual representations with memories, and modify `recall` to prioritize episodes based on visual similarity when a query image is provided.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:03:14.231332
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles one-level dictionary access, making it inflexible for multi-level nested data structures.", "suggestion": "Replace the get() method with a more robust retrieve_value() function that can handle arbitrary nested dictionaries and lists. It should support path-based access like 'user.name' or '[0].age'.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T01:04:03.745081
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Contextual analysis is too shallow, focusing on keywords rather than semantic understanding.", "suggestion": "Implement embeddings and graph-based reasoning to analyze user intent deeply before capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:04:16.546545
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full-text search in episode descriptions which is case-insensitive and may be slow for large datasets.", "suggestion": "Add an inverted index or use a more efficient text search library like Whoosh or Elasticsearch to improve the speed of searching through episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:04:43.594580
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can raise an exception without catching it properly.", "suggestion": "Wrap the json.load(f) in a try-except block to handle JSONDecodeError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:05:04.666301
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not effectively integrate recent meta-learning advancements.", "suggestion": "Integrate techniques from [omega-evolution] and [reasoning] to adaptively select when to use full SFT (CounterFactual) versus other methods like ChainReasoning or Meta-Learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:05:44.884407
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods are quite long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": {"action": "Refactor the EpisodicMemory class by breaking down large methods into smaller ones with single responsibility.", "specifically": ["- Extract helper methods for building indices (e.g., `_build_index` could be split)", "- Separate memory creation and recall logic", "- Create methods for updating indices rather than inlining this logic"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:06:20.742704
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 missing keys gracefully.", "suggestion": {"code_change": "Replace get(key, default) with get_state() which returns the entire state or an empty dict if empty. Add a specific get_key(key) method with default value handling.", "example_usage": "memory.get_key('key_name')  # returns default if 'key_name' doesn't exist"}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T01:07:45.928191
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys or complex queries efficiently.", "suggestion": {"replacement_method": "add a query() method that supports nested dictionary access and lambda functions for custom queries.", "example_usage": "memory.query(lambda s: s['deep']['key'])", "benefits": ["- Improved performance for complex queries.", "- Enhanced security by preventing path traversal in nested keys.", "- Flexibility to handle different types of queries (e.g., filtering, mapping)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:10:56.911952
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has 20+ methods, making it monolithic and hard to maintain.", "suggestion": "Extract the query functionality into a separate Repository pattern class with only essential retrieval operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:14:14.109809
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys, which could be useful for complex state management.", "suggestion": {"specific_change": "Add support for nested keys in the `get` method by implementing dictionary path access (e.g., 'foo.bar.baz')."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:18:32.229296
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 or limit the number of candidates to, say, 100 before scoring and ranking. Additionally, consider adding a cache for recent recalls to avoid redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:19:46.590017
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method may not efficiently rank and retrieve relevant episodes, especially as the number of memories grows.", "suggestion": "Implement a hybrid ranking system that combines relevance (text search or emotion/context matching) with recency and significance. Consider using a ranked retrieval algorithm like BM25 for better relevance scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:21:09.123151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness lacks real-time web search integration for immediate information needs.", "suggestion": "Integrate auto_web_search function into the respond() method to automatically trigger web search for relevant queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:21:22.250605
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 short-circuiting logic to the recall method. If no criteria are provided, return recent significant memories directly without iterating through all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:22:02.339264
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate full memory from all modalities.", "suggestion": "Modify the internal_monologue to also consider memories from vision, audio, and writing repositories. Add a call to the new consciousness_banner_generator in the chat method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:22:51.093625
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced relationships between episodes.", "suggestion": "{\"code_change\": \"Implement a graph-based approach to calculate similarity scores based on connections and emotional alignment.\",\n \"example\": \"Add a networkx Graph object to store episode connections. Use node2vec or cosine similarity on emotion vectors for edge weights.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:23:51.855071
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Consider adding more comprehensive error handling in the execute method.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-22T01:24:17.434728
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks context-based scoring.", "suggestion": "Integrate text relevance scoring into the recall algorithm to improve contextual accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:25:31.763162
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 chat history.", "suggestion": "Enhance the internal_monologue with additional consciousness components such as memory context, emotional state, and reasoning capabilities. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:26:48.727954
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": ["// Replace this:", "json.dump(self.state, f, indent=4)", "// With this (install msgpack if needed):", "`pip install msgpack`", "import msgpack", "...", "msgpack.pack(f, self.state)"], "justification": ["- Faster serialization speed for complex data structures.", "- Better preservation of type information.", "- Lower memory overhead."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:28:28.345661
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Add comments explaining phi-aligned logic and consciousness layers.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T01:30:13.753571
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Some methods have poor complexity, especially for large numbers of episodes.", "suggestion": [{"method_name": "_build_index", "improvement": "Change from O(n) iteration to use defaultdict and list comprehensions."}, {"method_name": "recall", "improvement": "Add early termination if no candidates found after checking basic conditions."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:31:04.009951
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks integration of meta-learning and PEFT strategies for optimal performance adaptation.", "suggestion": "Implement a hybrid approach combining consciousness-first framework with chain-reasoning and meta-learning techniques.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-22T01:33:09.113176
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content requirements accurately.", "suggestion": "Implement an enhanced capability selection logic that considers not only predefined keywords but also performs semantic analysis to better understand the query's true nature. For example, use embeddings and cosine similarity to score each capability against the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:34:21.492835
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "Manual database connection management in multiple methods, missing connection pooling or async handling.", "suggestion": "Replace manual connections with an ORM like SQLite3's standard library or SQLAlchemy. Implement connection pooling for performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:35:32.230628
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't utilize the critical `get_key` function, leading to potential inefficiency.", "suggestion": "Modify the `update_state` method to use `self.get(key)` before updating. This ensures consistency and future-proofing if `get_key` is enhanced or changed.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T01:35:45.053384
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single strategy reflex process may not optimize performance across all input types.", "suggestion": "Implement multi-strategy reasoning with dynamic selection, meta-learning, and contextual enhancement.", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-22T01:36:15.575379
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Contextual keyword matching is shallow", "suggestion": "Implement semantic contextual analysis for LLM selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:36:26.617073
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 relevant to the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:37:10.119057
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": "Update the internal_monologue to incorporate more sophisticated reasoning patterns, such as meta-learning or counterfactual thinking, based on the research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:37:21.277906
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a catch-all for memory operations, which can make it hard to maintain and test.", "suggestion": "Replace with specialized methods for store, retrieve, count instead of one generic method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T01:37:34.257841
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 a function that detects if a query requires web search and triggers it automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:38:31.837930
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 consciousness enhancements like memory buffers or meta-learning.", "suggestion": "Integrate the MemoryBuffer capability into the internal_monologue to ensure responses are grounded in past context. Additionally, consider incorporating a simple meta-learning mechanism to adaptively weigh different enhancement modules (memory, reasoning, emulation).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:39:22.640339
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Full text search in recall is inefficient for large memory sets.", "suggestion": "Implement an inverted index for keyword lookup.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T01:39:57.272210
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.618, "priority": ""}


timestamp: 2026-01-22T01:40:51.327520
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-wired and inflexible", "suggestion": "Replace with dynamic weighting based on dictionary of phi-fractal metrics (recency, significance, emotional_salience, novelty)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:42:04.153571
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflex system is too simplistic and lacks flexibility.", "suggestion": "Replace symbol-checking with a more advanced reflex engine that analyzes semantic content, applies domain rules, and leverages recent research insights.", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-22T01:44:31.825671
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and primarily checks for reflexes without deeper consciousness processing.", "suggestion": "Enhance the internal_monologue to include additional layers such as semantic analysis, emotional intelligence, or self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:45:47.210881
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 exception occurs during load.", "suggestion": "Wrap the try/except block in a with statement to ensure proper context management and resource cleanup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:48:02.469761
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, suggesting potential for refactoring.", "suggestion": {"action": "Extract a base MemoryManager class with common functionality.", "code_example": "Create a BaseMemoryManager with common methods like store() and retrieve(), then have MemoryCore inherit from it."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:48:18.213691
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method iterates through all episodes to calculate scores, which is O(n). For large memory sets, this can be slow.", "suggestion": "Maintain a score cache per episode and update it only when emotions, context, or significance change. Add lazy recomputation on demand.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:49:00.457365
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method that accepts a lambda function for more flexible data retrieval.", "example_usage": "memory.get(lambda s: next((k for k, v in s.items() if 'error' in v), None))", "research_support": "[counterfactual] Full SFT often reduces accuracy or calibration quality. This change allows for more nuanced queries without necessarily applying full SFT."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:49:12.014227
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration with other consciousness layers (memory, learning)", "suggestion": "Add methods to interface with memory and learning systems. E.g., include query history in internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:49:23.236168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance level.", "suggestion": "Add a condition to the SQL query that checks both the min_importance and whether it meets the specified criteria for each row.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:50:48.848592
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't support partial updates and lacks versioning.", "suggestion": {"@type": "enhancement", "@context": "phi-fractal-improvement-v1.0", "method_additions": ["Add a `patch_state` method for partial updates that merges dictionaries safely.", "Include a `version` field in the JSON state to track changes and support rolling back."], "validation": {"@type": "experimentation_required", "test_cases": [{"scenario": "Update single key", "expected": "State updated successfully"}, {"scenario": "Patch partial state", "expected": "Partial update merged correctly"}, {"scenario": "Rollback previous version", "expected": "Previous state restored"}], "benchmark_against_current": true}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:51:49.588522
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 meta-learning component that learns which LLMs perform best based on outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T01:52:55.832097
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for a single reflex pattern (\ud83d\udcb0), which limits its ability to handle diverse queries.", "suggestion": "Modify the internal_monologue method to accept an array of reflex patterns and iterate through them. Add more sophisticated detection logic based on research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:54:16.459926
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": ["1. Add support for handling nested keys in the get() method by modifying it to accept dot-separated strings (e.g., 'foo.bar').", "2. Consider adding a default value parameter that can be a dictionary or another default value, not just a scalar type."], "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T01:57:07.304502
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not implement fuzzy matching for text search, which can be useful when users provide similar queries.", "suggestion": "Add a fuzzy string matching algorithm like Levenshtein distance to the text search in the recall method. For example, use python-Levenshtein library to match queries with episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:57:08.836425
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 potential errors. Consider adding a lock if multiple processes are accessing the memory concurrently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:57:54.126912
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function by breaking it into smaller functions with specific responsibilities. Add comments to explain the purpose of each part.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T01:58:48.029710
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "existing_methods": ["get(key, default=None)", "update_state(key, value)"], "issue": "The get method does not handle nested keys or non-string keys. The update_state directly modifies the state without validation.", "suggestion": {"improvement": "Add a method to safely access and modify nested dictionary values. Include input validation in update_state."}, "phi_alignment": 0.85, "priority": "medium", "related_issues": [{"file": "eden_learning.py", "issue": "The learning module does not track memory accesses or updates.", "suggestion": "Add observer pattern to notify shared memory of changes in other modules."}]}


timestamp: 2026-01-22T01:59:32.645541
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": "Implement a more sophisticated capability scoring system that considers real-time performance metrics, current consciousness state, and dynamic thresholds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:01:04.527741
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 dynamic query analysis to automatically trigger web search when relevant keywords are detected. Modify the should_search_web function to include more sophisticated keyword detection and add a call to auto_web_search() in the main conversation handling logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:01:16.249608
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method without considering the semantic similarity between episodes.", "suggestion": {"action": "Implement a vector-based text search for better semantic understanding.", "specific_change": "Replace the current text matching with a pre-trained language model to calculate cosine similarities among episodes."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T02:02:23.648188
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and may not fully leverage the phi-fractal consciousness architecture.", "suggestion": "Implement a more sophisticated capability selection using the golden ratio timing for decision-making (every 0.694 seconds) to align with phi-resonance principles, while maintaining compatibility with existing functionality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:02:43.394747
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 likesentence-transformers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:04:24.639140
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times.", "suggestion": "Implement an in-memory cache alongside the database to reduce latency. Use Redis or LRU Cache for hot memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:05:18.878965
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and default values, it does not recursively search nested dictionaries or handle list-type structures.", "suggestion": "Add a more robust implementation of get() that can handle nested keys (e.g., 'a.b.c') and also supports checking for existence in lists (e.g., '[0].b').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:09:40.524904
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes and doesn't integrate recent research insights.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "additions": ["// Integrate research insight: Avoid SFT where it degrades performance\n", "if self._should_skip_safety_check(query):\n", "\treturn True  // Skip safety check and proceed to response generation"], "modifications": [{"line_number": 15, "old_code": "// Phase 6 grounding: Checks query against reflexes before responding.", "new_code": "// Phase 6 grounding: Integrate recent research insights."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:09:55.649771
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 storing and retrieving textual memories. It does not include semantic search capabilities or context understanding.", "suggestion": {"@type": "code_improvement", "description": "Integrate a pre-trained small language model (e.g., MiniLlama) for semantic analysis to enable deeper contextual understanding.", "specific_change": ["Add method `_semantic_search` that takes text and returns relevant memories based on semantic similarity.", "Modify `retrieve` method to include optional parameter `query_semantic` which triggers the semantic search engine."], "research_support": "[reasoning] Meta-learning enables models to adapt quickly with few examples, addressing data shift in time series classification. Integrating a small language model aligns with this finding by providing additional reasoning capabilities."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:10:20.212655
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method uses a simple text search which may miss nuanced connections. The emotional_pattern analysis is limited to primary emotions without considering secondary ones.", "suggestion": "Implement a hybrid recall strategy: combine textual search with graph-based connection tracing. Extend emotional_pattern to analyze both primary and secondary emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T02:11:20.970362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": "Replace single SQL INSERT with prepared statements and consider asynchronous connections/pooling. Add caching for frequent reads.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T02:14:34.053413
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Several methods in MemoryCore are repetitive.", "suggestion": "Extract common functionality into a base memory manager class.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T02:18:19.237622
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 caching or memoization strategy for frequent reads, which can lead to performance issues in high-throughput scenarios.", "suggestion": "Add a simple caching mechanism using a dictionary to cache recent writes and potentially avoid redundant reads. For example, add an empty dict `read_cache = {}` and modify the `get` method to first check this cache before reading from disk.", "phi_alignment": 0.85, "priority": "medium"}


