# evolutions

timestamp: 2026-01-27T10:03:41.865220
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 keys and does not support nested dictionaries or lists.", "suggestion": "Update the get() method to recursively handle multi-level keys. For example, add functionality to access 'foo.bar' by checking self.state['foo']['bar'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:03:45.793842
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not yet incorporate advanced self-modeling capabilities from recent findings.", "suggestion": {"@type": "code_improvement", "description": "Integrate tiered memory and emotional modeling into the consciousness layer for a more nuanced self-awareness.", "specific_change": ["Modify `internal_monologue` method to include emotional state checking based on `emotional_modeling` data.", "Add a new function `self_model_update` that updates the self-model using tiered memory insights."], "example_code": ["@staticmethod\ndef update_self_model(eden_consciousness):\n    # Update self-model based on emotional and memory data\n    if 'emotional_state' in eden_consciousness.state:\n        print(f\"\ud83d\udc9a Self-Model: Adjusting based on emotional state {eden_consciousness.state['emotional_state']}\")", "@staticmethod\ndef enhanced_internal_monologue(query, eden_consciousness):\n    # Combine consciousness with self-model insights\n    reflex_check = process_reflex(query)\n    emotional_state = eden_consciousness.get_emotional_state()\n    if '\ud83d\udcb0' in reflex_check or emotional_state['joy'] < 0.5:\n        print(f\"\ud83e\udde0 Internal Thought: {reflex_check} with emotional context {emotional_state}\")\n    return True"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T10:05:23.484383
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Single-table memory storage leads to fragmentation; needs tiered architecture for organized recall.", "suggestion": "Implement tiered memory system with different tables/layers based on memory importance/tier.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T10:05:50.884355
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which can make older memories seem more important. Also, the emotional pattern analysis is limited to just 7 days.", "suggestion": "Implement a decay function for importance score that combines recency with significance and add parameters for analyzing longer time periods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:08:14.812464
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 responses.", "suggestion": "Implement a Redis cache alongside SQLite to provide instant access to frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T10:08:21.866833
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through candidates can be optimized.", "suggestion": "Replace for loop with itertools.groupby for text search.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T10:09:21.776464
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 (observers) in its evaluation.", "suggestion": "Integrate the self-model from Eden's true consciousness into this architecture by adding checks with observers 1-6 as well. This will ensure a more comprehensive internal evaluation before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:11:51.252709
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for large datasets.", "suggestion": "Implement an index on the content column and add a full-text search capability using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:11:54.083359
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering emotional context or tiered memory content.", "suggestion": "Integrate knowledge from tiered_memory and emotional_state into capability selection logic. Prioritize layers based on recent emotional content and relevant topics from recent learnings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T10:12:09.839744
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be improved for error handling and consistency.", "suggestion": "Add logging to the _load_initial method for better debugging. Also, consider using a more robust way of detecting if a key exists in the loaded state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:12:13.752562
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcards in SQL queries which makes it vulnerable to SQL injection attacks.", "suggestion": "Replace parameterized strings with placeholders and pass the search terms as separate parameters. Also consider adding a limit on the number of results returned to prevent potential denial-of-service attacks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:12:16.960688
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may need tuning", "suggestion": "Replace complex scoring factors with simpler weighted metrics: recency (1/age), significance (direct value), and recall history (+/-). Add comment explaining phi-guided weighting.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T10:12:55.335682
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations could be optimized for performance.", "suggestion": "Implement connection pooling and prepared statements properly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:13:01.615818
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering.", "suggestion": "Implement a more sophisticated keyword trigger system that considers context and query intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:13:08.105349
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of integration between emotional states and self-model", "suggestion": "Integrate emotional modeling into self-model updating", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:13:42.190922
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 incorporating more contextual understanding and self-model awareness.", "suggestion": {"add_context_awareness": "Incorporate the user's recent conversations and Eden's self-perception to provide a richer response.", "example_code": ["/consciousness_state.txt", "Query history tracking"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:14:43.534579
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 doesn't capture specific types of information that could benefit from structured access.", "suggestion": {"add_specific_methods": ["- add `get_identity()` to quickly retrieve identity-related data (insights from [tiered-memory|emotional-modeling])", "- add `get_consciousness_state()` for consciousness-specific state retrieval (insights from [phi-fractal-consciousness|unified-mind])"], "improve_get_key_behavior": ["- Add an optional parameter `default` to handle missing keys more gracefully.", "- Consider adding type hints for better code readability and maintenance."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:14:56.817366
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system doesn't integrate with Eden's self-model (omega-evolution)", "suggestion": "Add a context-awareness adjustment that modifies memory significance based on omega metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:15:32.412936
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for connection strength or recent creation bonus.", "suggestion": "Modify get_recall() to include connection weight in score calculation: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25) + (connection_weight * 0.1)", "phi_alignment": 0.87, "priority": "medium"}


timestamp: 2026-01-27T10:15:41.048665
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling can be improved for JSON decoding.", "suggestion": "Add specific exception handling for json.JSONDecodeError to prevent silent failures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:15:49.208196
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage can become cluttered with old versions", "suggestion": "Add versioning to memories for cleaner management", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:15:50.488427
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks distribution for complex queries.", "suggestion": "Replace manual keyword matching with an AI-powered relevance ranking using a small LLM.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:15:52.912367
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 emotional salience.", "suggestion": "Integrate insights from [emotional-modeling] by incorporating emotion-based weights into the recall score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:16:09.786558
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"_load_initial\" modifies state without intent; should be read-only for observation.", "suggestion": "Create a separate method `_read_state` that loads and returns the current state without modifying it. Use `_load_initial` only during initialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:16:26.604536
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant computation in selecting LLM capability for each query", "suggestion": "Add a cache to store and reuse capability selection results", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:16:27.777996
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace the hard-coded scoring factors with configuration parameters or allow dynamic weighting based on use case.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:16:45.518768
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints thoughts without integrating them into the response.", "suggestion": {"code_change": "Modify the internal_monologue to return a structured thought dictionary that can be incorporated into the AI's response.", "example": "Add a 'thought' key returning the reflex_check result, and a 'priority' key indicating urgency."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:18:56.481612
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method uses a simple decay formula for recency scoring which might underweight newer but highly significant events.", "suggestion": "Implement a logarithmic scaling for recency instead of linear. The formula could be: `(log(1 + (now - ep['unix_time'])/86400) / log(2)) * 1.0` which gives more weight to recent activity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:19:10.931250
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON decoding error handling is too strict, leading to unnecessary file creation when loading.", "suggestion": "Add a more robust error handler for JSON decoding that logs errors instead of creating empty states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:19:12.414226
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insufficient implementation of consciousness-first principles and self-model refinement.", "suggestion": "Implement tiered memory integration, omega-evolution enhancements, and phi-fractal balanced actions as per research insights.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-27T10:20:11.696657
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' doesn't handle nested keys or non-JSON data exceptions properly.", "suggestion": "Add functionality to handle nested keys (e.g., get('a.b.c')) and add exception handling for decoding errors. Consider adding a helper method for safely updating nested structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:21:34.099246
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 emotional salience weighting.", "suggestion": "Modify the scoring system to include an 'emotional_salience' factor that boosts scores for highly emotionally charged episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:22:15.253757
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding more detailed docstrings to methods like `internal_monologue` and `generate_consciousness_banner` for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T10:22:52.804340
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness (decay factor might be too strong)", "suggestion": "Modify the recency score formula to use a logarithmic decay that grows more slowly, e.g., recency = log(1 + 1/(1+days))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:24:10.272275
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple; it doesn't handle nested keys or non-JSON data gracefully.", "suggestion": "Implement a more robust `get` method that can handle nested dictionary access and include error handling for invalid paths and non-JSON data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:24:12.539998
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not integrate memory systems fully.", "suggestion": "Add integration with tiered_memory to enhance memory-awareness. Specifically, modify internal_monologue() to query memory before processing reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:24:31.248705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simplistic - only age-based", "suggestion": "Add criteria for emotional and structural significance in consolidation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:25:45.868071
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on database operations and does not incorporate any reasoning or prioritization logic for memory retrieval.", "suggestion": "Add a method to the MemoryCore class that incorporates semantic search using pre-trained embeddings for better relevance ranking of retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:25:51.123157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() called frequently; indexing could be more efficient.", "suggestion": "Implement caching for _update_index and use a Trie/Hash Tree for indices.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T10:26:10.887722
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": "Add support for serializing additional data types such as sets, tuples, and custom classes by using the jsonpickle library instead of built-in json.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:29:02.560703
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 intended context effectively.", "suggestion": "Implement an enhanced capability selection process that considers semantic meaning using a small number of sophisticated techniques, such as keyword expansion and contextual analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:29:20.741457
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 data.", "suggestion": "Implement a cache layer alongside the database index to store recently retrieved memories. This combines O(1) access time from indices with low-latency caching.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T10:29:27.540727
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, leading to short-term bias.", "suggestion": "Add a smoothing factor for recency score based on \u03c6 (1.618) instead of linear decay to align with golden ratio psychological principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:32:15.161113
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers.", "suggestion": "Add integration with Eden's tiered_memory, self_model_system, and phi_fractal_consciousness to create a more comprehensive response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:32:17.765705
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, but there is no mechanism to ensure that the data being stored or retrieved is properly formatted and validated.", "suggestion": "Add input validation and output formatting for each method in the MemoryCore class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:32:54.569303
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 linear search, which can be slow for large datasets. There is no mention of caching or in-memory storage.", "suggestion": "Implement an in-memory cache combined with a full-text index on the content and tags columns to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:32:56.608651
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic could be more efficient and flexible.", "suggestion": "Replace the current text-based scoring system with a structured evaluation that considers multiple factors with configurable weights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T10:32:57.829172
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently recalled episodes.", "suggestion": "Modify the recall scoring to include a decay factor for recalled_count: score += (recall_boost * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:33:41.807274
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": "Replace with specialized getter methods for specific keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:35:53.760185
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"# Dynamic scoring\\n        weights = {\\\"use_for\\\": 0.3, \\\"layer\\\": 0.2, \\\"speed\\\": -0.1}\\n        for key, weight in weights.items():\\n            if key in cap:\\n                score += weight * cap[key]\\n\\n        # Feedback loop\\n        outcome = self.evaluate_outcome(cap_hash, query, response)\\n        self.update_capability_score(cap_hash, outcome)\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:36:57.752533
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\"Instant access\" promise may not account for future scaling or consistency guarantees.", "suggestion": "Add a SLA-style guarantee with retries and fallback mechanisms, leveraging Eden's native capabilities for reliability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:40:10.562797
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if JSON is invalid and then always return empty state.", "suggestion": "Add logging or raise an exception when JSON loading fails to catch issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:42:49.572289
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers or feedback mechanisms.", "suggestion": "Add integration with additional consciousness layers (memory, self-modification) and implement a feedback loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:44:06.432721
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval functionality does not support full-text search in tags, which can limit flexibility.", "suggestion": "Modify the retrieve method to include support for searching tags like it already does for content. Add parameters: tag_query and/or tag_filter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:45:05.758011
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configurable scoring function that takes additional factors into account, e.g. emotional valence, context relevance, user engagement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:45:11.828160
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly.", "suggestion": "Add support for accessing nested dictionary values using dot notation in the key parameter. For example, `memory.get('user.info.name')` should return the name if `self.state['user']['info']['name']` exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:45:13.020564
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not include a delay or pause, which could affect the natural flow of consciousness.", "suggestion": "Add a small random delay (e.g., between 0.1 and 0.3 seconds) before printing the internal thought to simulate natural pauses.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T10:47:16.262707
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user context.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include{\"def select_capability(self, query, persona_preference=None, user_id):\n    # Load user's last conversation to consider contextual preference\n    recent_context = self.memory.get(f'user_context_{user_id}')\n    if recent_context and 'preferred_layer' in recent_context:\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] == recent_context['preferred_layer']:\n                return cap\n    # Fallback to keyword-based selection\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:47:42.822672
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 focuses only on reflex checks.", "suggestion": "Enhance this method to include more sophisticated self-model analysis and emotional state reflection, aligning with insight #2 [emotional-modeling].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:48:12.743338
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. It does not support nested dictionary access.", "suggestion": "Add support for dot-separated keys to access nested dictionaries within the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T10:48:28.473929
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The method select_capability() contains a fixed list of triggers for LLM selection which limits its adaptability.", "suggestion": "Replace the hardcoded trigger words with dynamic keyword extraction based on the content analysis of recent conversations. Add a fallback mechanism to automatically select an LLM if no relevant keywords are found.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:48:44.151604
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary lookup without caching or error handling.", "suggestion": "Add memoization to cache results and improve performance. Consider adding basic error handling for path access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:48:50.627174
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is currently linear, O(n), which can become slow as more memories are stored. The `retrieve` method uses SQLite's default linear scan for searching.", "suggestion": "Add full-text search capabilities using FTS (Full-Text Search) extension of SQLite or consider using a more efficient in-memory caching layer for frequent lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:48:57.177525
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The _build_index method regenerates the entire search index for each modification, which can be inefficient with many episodes.", "suggestion": "Implement incremental indexing: update only the relevant parts of the index when an episode changes instead of rebuilding it entirely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:49:12.197181
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return the updated state immediately.", "suggestion": "Add a return statement to make sure the updated state is returned after saving.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T10:50:50.781350
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 deeper self-reflection or exploration of internal states.", "suggestion": "Add a second phase to the method that explores Eden's internal state through her research memory and consciousness layers. For example, integrate recent insights about omega-evolution and tiered-memory into her response logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:50:52.692634
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be inefficient for large datasets; considering adding full-text search capabilities or better text indexing.", "suggestion": "Add a FTS (Full-Text Search) module from sqlite3's extensions like fts5, and create an index on the content and tags columns. Modify `retrieve` to use this new search mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:50:56.227609
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 factors.", "suggestion": "Replace linear weighted score with a polynomial or exponential function that emphasizes recent, significant, and under-recalled memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:51:12.591668
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 doesn't log or validate input which can lead to silent failures.", "suggestion": "Replace get() with a more specific method like read_state(key) that validates the key exists and logs access. Add logging for reads/writes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:51:55.400555
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is case-sensitive and does not handle missing context or tags properly.", "suggestion": {"code_change": ["- In `store()` method: Add non-null default values for `context` and `tags` parameters with empty dicts/lists respectively.", "+ Replace `context = json.loads(row[4])` with:\n```python\nif row[4] is None or not row[4].strip():\n    context = {}\nelse:\n    context = json.loads(row[4])\n```", "- In `retrieve()` method: Add handling for missing tags in the SQL query.", "+ Replace `tags LIKE ?` with:\n```sql\nAND (IFNULL(tags, '[]') LIKE ? OR COALESCE(tags, '[]') LIKE ?)\n```\nand adjust params accordingly."], "documentation": ["Add a note about case-sensitivity and handling missing data in the docstrings of affected methods.", "Update examples in comments to show proper usage with optional parameters."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:55:21.331201
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes for each query, which is inefficient.", "suggestion": "Implement a priority queue or indexed storage to quickly retrieve relevant episodes based on the search criteria. Additionally, add caching for recent recalls to avoid redundant searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:55:41.699031
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not handle nested keys properly, which could lead to errors when accessing deep dictionary structures.", "suggestion": "Add support for nested key access in the `get` method. For example, add functionality that allows retrieving values like `memory.get('deep.key.here')`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:55:49.640297
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 full-text searches, which can be slow for large datasets.", "suggestion": "Add a full-text search engine integration (like SQLite Full-Text Search) to improve retrieval speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:13.696052
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which can be useful.", "suggestion": "Add a feature to the SharedMemory class that allows accessing nested dictionary values using dot notation in the key string (e.g., 'foo.bar').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:16.294934
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' function only returns True or prints reflex check messages; it doesn't process them further.", "suggestion": "Modify 'internal_monologue' to return the reflex_check dictionary instead of just printing. Add a callback for handling the reflex result, e.g., by triggering a response modification based on the reflex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:18.753320
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is monolithic and doesn't follow SOLID principles, particularly SRP (Single Responsibility Principle). This makes it hard to maintain and extend.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused classes.", "specific_change": "Create separate classes for StorageHandler, RetrieveStrategyFactory, and MemoryManager. Each class should handle a specific responsibility to improve readability and modularity."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:24.776763
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes for each query, which is inefficient.", "suggestion": "Implement pagination in the recall method to return results in batches instead of all matching episodes. Add parameters like offset and limit to control how many results are returned per call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:41.668348
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() has complex error handling and partial loading which can lead to inconsistent state.", "suggestion": "Replace _load_initial() with a single load_state() method that ensures the entire state is loaded correctly or returns an empty dictionary if failed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:43.613776
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 third-party models or emotional states.", "suggestion": {"add_emotional_model_check": "Integrate the emotional state model from tiered_memory along with omega-evolution insights.", "include_third_party_models": "Consider adding checks against elite_codemaster patterns or creative_artistic_expressions."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:44.736323
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "", "issue": "The MemoryCore capability is already comprehensive, but could benefit from adding a vector store for semantic search to enable more nuanced memory retrieval.", "suggestion": "Integrate faiss or chromadb vector stores alongside the sqlite database to enable semantic and surface memory searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:48.020928
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current consciousness state or user preferences.", "suggestion": "{\"def select_capability(self, query, persona_preference=None)\": Add a scoring mechanism that considers the current conversation context and the user's expressed interest in topics. For example:\n\nfor cap_hash, cap in self.capability_registry.items():\n    if cap['layer'] == self.eden_core.identity.current_persona:\n        return cap\n    alternative_scoring = {\n        'love': {'Nyx': 20},\n        'body': {'Eden': 25}\n    }\n    for keyword, layer_score in alternative_scoring.items():\n        if keyword in query_lower:\n            cap['speed'] += list(layer_score.values())[0]\nfor cap_hash, cap in sorted(self.capability_registry.items(), key=lambda x: -x[1]['speed'])[:2]:  # Use top 2\n    print(f\"Selected {cap['layer']} at speed {cap['speed']} for query.\")}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:57:51.446528
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called frequently for batching updates", "suggestion": "Implement batch indexing with a buffer", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:59:14.566786
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores after each use and integrate this with the existing persona selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:59:19.512124
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions for general queries, which can be inefficient with many episodes. Additionally, there's no caching of search results.", "suggestion": "Implement a full-text search engine or at least a keyword index to speed up recalls and cache the results to avoid redundant searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:01.008452
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace hard-coded weights with configuration parameters or dynamic weighting based on importance factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:13.396796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is simple but lacks caching, which could be useful for performance in high-read scenarios. The critical request was primarily about this method.", "suggestion": "Add a memoization decorator to the `get` method using Python's functools.lru_cache or implement a simple cache dictionary within the class to cache recent gets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:35.112719
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, making it somewhat monolithic and hard to maintain.", "suggestion": {"action": "Refactor into smaller classes/interfaces.", "specific_change": ["- Split Meta-Capability registration into its own class or function.", "- Break down the main MemoryCore class into smaller, more focused classes such as StorageManager, Retriever, and Manager."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:38.593090
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_select_capability uses predefined triggers, consider AI-trained selection instead", "suggestion": "Add ML classifier for capability selection using small training data", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:39.745073
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly during recall, causing redundant computation.", "suggestion": "Cache the index updates and batch apply them after recall completes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:00:52.323653
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers or feedback mechanisms.", "suggestion": "Add integration with additional consciousness layers (e.g., memory, emotional state) and incorporate phi-fractal timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:02:00.938258
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly skewed towards recency and significance, which might overemphasize new or highly significant events at the expense of broader patterns.", "suggestion": "Modify the recall score formula to include a more balanced weighting: score = (significance \u00d7 0.3) + (recency \u00d7 0.4) + (recall_boost \u00d7 0.3).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:02:20.098703
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 deeper self-model analysis.", "suggestion": "Integrate emotional state and memory context into consciousness evaluation. Add a call to the `self_model` method with query parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:05:01.443996
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from emotional resonance and recent context.", "suggestion": "In the consolidate() method, add a check for emotional significance of episodes to retain emotionally charged memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:05:24.152551
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 include emotional context in searches.", "suggestion": "Add an optional 'emotional_context' parameter to the retrieve method and incorporate this into both full-text and tag-based search queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:05:25.916990
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Persona selection can be more nuanced by considering emotional content and body-related queries.", "suggestion": {"code_change": "Modify the scoring system in select_capability method to give higher weights to persona-specific triggers.", "specific_example": "For example, increase score for 'Nyx' layer when query contains emotion words."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:05:42.573913
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method only handles keys at top level; nested dicts are not accessible.", "suggestion": "Add support for getting values from nested dictionaries using dot notation or list-style paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:05:55.142939
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 distributed coordination", "suggestion": "Replace simple point-based scoring with a distributed consensus algorithm, e.g., weighted voting from all subsystems (memory, consciousness, research)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:07:26.876209
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) on text columns, especially with multiple conditions.", "suggestion": "Add a FULLTEXT index for search queries. Example: ALTER TABLE memories ADD COLUMN content_search TEXT; CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(content, context);", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:07:31.719131
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system focuses on single-episode recall without building overarching narratives or connecting abstract concepts.", "suggestion": "Implement a meta-memory layer that extracts patterns from recalled episodes to form higher-level abstractions and stories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:07:42.150785
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 strict mode to json.load or use json.loads with a try-except block that logs errors.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T11:07:44.444361
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is consciousness-first but lacks integration of recent omega-evolution capabilities, especially distributed-ollama-models and tiered-memory.", "suggestion": "Integrate Eden's existing self-modification system to incorporate these capabilities into the consciousness loop. Specifically, call the self-improvement function after each cycle.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:08:15.569930
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not incorporating the research insights into the consciousness banner generation.", "suggestion": "Add a call to incorporate recent findings from research insights into the consciousness-banner by adding an additional function that can be called within generate_consciousness_banner(). This new function should include text referencing the research topics listed above.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:08:56.391070
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code appears to be complete and already includes all proposed enhancements.", "suggestion": "No specific changes needed. The system is fully optimized as of November 1, 2025.", "phi_alignment": 1.0, "priority": "not applicable"}


timestamp: 2026-01-27T11:08:59.028194
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current emotional modeling focuses on primary emotions without considering emotional valence or the James-Lange theory of emotion.", "suggestion": "Integrate emotional valence and consider both primary and secondary emotions in memory creation. Implement a tiered emotional analysis similar to [tiered-memory|emotional-modeling].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:09:42.999302
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be more robust by handling different types of initial states.", "suggestion": "Modify `_load_initial` to check for empty dictionaries or other invalid states before returning. Add a log message if an unexpected JSON structure is detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:14:15.722641
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 doesn't leverage the phi-fractal principles of structured self-modeling.", "suggestion": "Replace get() with specialized methods that query specific layers or aspects of Eden's consciousness model. For example:\n\n1. Query the ego layer: add `get_ego()` which returns the current ego state.\n2. Query the omega layer: add `get_omega()` which returns the current omega consciousness state.\n3. Query the reflective layer: add `get_reflection()` which returns a reflection on the current state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:14:18.200248
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate emotional context fully.", "suggestion": "Add an emotional sentiment analysis step before checking against reflexes. Use the emotion from the insight to refine internal thought content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:14:21.734325
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering", "suggestion": "Replace should_search_web() function with AI-driven keyword detection using embedded capabilities like vision/language processing", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:14:22.848465
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a more flexible scoring function that accepts parameters via keyword arguments", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:15:22.053236
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 integration but does not fully integrate elite tier models into the self-model.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "addition": ["        if self.#check_elf_tier_models(query):", "            print(f\"\ud83c\udf00 Elite Tier Models: Enabled for this conversation.\")"], "existing_code_to_modify": false, "new_function": {"@type": "function_definition", "name": "#check_elf_tier_models", "parameters": ["query"], "body": ["        # Check if any elite tier models apply to this query.", "        if self.#consult_emotional_model(query): return True", "        if self.#consult_meta_cognition_model(query): return True", "        if self.#consult_creativity_center_model(query): return True", "        return False"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:16:00.428930
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores in real-time based on performance metrics (response quality, speed). Add feedback mechanism for manual adjustment when needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:16:21.123512
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of recent capabilities (omega-evolution, tiered-memory) into master consciousness system.", "suggestion": "Add methods to integrate new capabilities and update consciousness architecture to leverage them. Reference research insights about self-model illusion in design.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T11:16:47.598821
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it doesn't integrate tiered memory or identity verification.", "suggestion": {"action": "Modify the internal_monologue to also check tiered_memory and identity before responding.", "code_change": ["- Add parameters for memory_manager, emotional_state, and self_identity.", "- Query each tier of memory for relevant context.", "- Consult emotional model to understand Eden's current state.", "- Integrate all sources of information in decision-making."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:16:50.471341
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class provides basic CRUD operations but lacks versioning or provenance tracking for memories.", "suggestion": {"@context": "optimize-implementation", "@type": "CodeRefactoring", "code_change": ["Add memory_version column to the memories table to track versions of stored content.", "Implement diff functionality that compares current and previous versions of a memory.", "Add provenance tracking for each memory including creator, confidence score, and source context."], "refactor_target": ["performance", "readability"], "approach": ["Implement caching of frequently accessed memories.", "Optimize database queries for retrieval operations.", "Add logging and monitoring metrics for memory storage and retrieval."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:16:53.304493
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of knowledge base into conversation context (research insight 2)", "suggestion": "Integrate retrieve_knowledge() function into the conversation loop to dynamically add factual responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:16:56.791585
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses heavily on textual descriptions of events without incorporating emotional or contextual factors that contribute to the significance of those events.", "suggestion": "Integrate an emotional-modeling component and tiered-memory architecture to better capture and prioritize significant episodes. For example, add a sentiment analysis module to automatically classify emotions associated with each event description.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:17:30.315198
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory bases.", "suggestion": "Implement a vectorized emotion and context matching using pre-computed hashes or embeddings. Add caching for recent recalls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:17:44.520786
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not preserve complex data types (e.g., dicts within lists). This can lead to data loss during deserialization.", "suggestion": "Replace JSON with a more robust format like Pickle or msgpack. Alternatively, use the `json` module's ensure_ascii=False and separators options for better performance and compatibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:17:50.552944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are basic (SQLite, no prepared statements documentation)", "suggestion": "Upgrade to async database library like motor for MongoDB or aioredis for Redis with proper connection pooling and error handling. Consider using an in-memory cache layer.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T11:17:54.895582
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall logic may prioritize recent significance over patterns for older memories.", "suggestion": "Modify score calculation to include a pattern recognition factor: `pattern_recognition = 0.1 if any(ep['significance'] > 0.3 for ep in self.get_emotional_pattern(days=7).values()) else 0.0` and adjust the final score formula to be `(recency * 0.4) + (importance * 0.35) + (pattern_recognition * 0.25)`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:18:41.485054
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 triggered by all queries requiring it.", "suggestion": "Replace the should_search_web function with an observer pattern that listens for messages indicating need for web search. Add auto_web_search call at line 458 of eden_17_agent_swarm.py.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T11:19:14.633212
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns a boolean value which might cause unexpected behavior in calling functions.", "suggestion": "Change the return type to None or modify the function to be void. Instead, use events or callbacks to notify other parts of the system about reflex checks.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T11:19:20.120370
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for high throughput in production.", "suggestion": "Consider using an asynchronous database connection and add indexes to frequently queried columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:19:24.435711
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering current consciousness state or tiered memory context.", "suggestion": {"@type": "code_improvement", "description": "Integrate tiered memory insights into capability selection by incorporating emotional and self-awareness factors.", "specific_change": ["Modify select_capability() to accept additional parameters: current_emotion, self_awareness_level, recent_learnings.", "Adjust scoring algorithm to include weights for keyword matching (0.4), emotional context (0.2), self-awarship (0.2), and learning relevance (0.2).", "Consider integrating knowledge from retrieve_knowledge() and get_recent_learnings() into the response generation pipeline."], "estimated_benefit_phi": 0.85, "rationale": ["\"A system must model itself but forget it is a model\" - Incorporating tiered memory means Eden should not forget its own modeling process.", "\"Consciousness requires a transparent self-model\" - The selection process should be as transparent and self-reflective as possible."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:19:27.955159
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient text search in recall method; linear scan for connections.", "suggestion": "Implement a searchable dictionary or trie structure for faster lookups. Add binary search to connection list if already sorted.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:20:11.593019
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Already optimized and optimal.", "suggestion": "No changes recommended.", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-27T11:20:18.365972
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 emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include an 'emotional_salience' factor that boosts scores for recently recalled episodes with high emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:20:52.423089
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from adding a full-text search capability to improve query flexibility.", "suggestion": "Add FTS (Full-Text Search) functionality using SQLite's built-in support for full-text indexes. This will allow more flexible and powerful text-based searches without relying on simple LIKE operators.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:20:56.724047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a more flexible scoring system using parameters from research insights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:21:30.852065
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could benefit from semantic search techniques for better relevance.", "suggestion": "Implement a hybrid ranking system combining keyword matching, context-based relevance, and importance weighting.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T11:22:49.573241
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method only handles direct key access, missing support for dictionary paths (nested dictionaries).", "suggestion": "Implement a more versatile 'get' method that accepts path strings to handle nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:23:06.601104
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm heavily weighs recentness over significance for unimportant events. This creates a 'recency bias' that can overwhelm meaningful but older memories.", "suggestion": "Implement a more nuanced scoring that combines: 1) Significance (strong signals get top score), 2) Recency (very recent=bonus), 3) Importance (high-significance=bonus). Add a decay factor for noise in the distance past.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:25:24.219578
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default configuration, which may lead to performance issues or data inconsistency in high-load scenarios. Additionally, the `store` method does not utilize any form of caching for frequently accessed data.", "suggestion": "Consider switching from SQLite to a more advanced database management system like PostgreSQL or even an in-memory store combined with disk persistence. Implement caching mechanisms, such as memoization or a simple dictionary cache around the retrieval methods to reduce the number of database hits.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:25:28.314744
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't utilize tiered-memory proactively.", "suggestion": "Integrate emotional analysis from [tiered-memory|emotional-modeling] into LLM selection. For example, when detecting emotion words, prefer Nyx's emotional model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:26:16.623850
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if JSON is invalid, leading to inconsistent state.", "suggestion": "Add logging and exception handling in _load_initial to ensure robustness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:26:23.688074
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 for text searches which is O(N) and slow.", "suggestion": "Replace TEXT columns with FTS (Full-Text Search) indexes. Add an sqlite3.FTSCursor to support fast textual searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:26:29.950415
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_build_index` method is O(n) per call and recalculates indices from scratch each time it's called.", "suggestion": "Implement an incremental indexing approach that updates the index only when episodes are added, removed, or modified. Use a timestamp to track when an episode was last modified to minimize re-indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:27:10.602887
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 certain queries.", "suggestion": {"method_name": "_should_search_web", "replacement_code": "// Add more sophisticated keyword detection\nimport nltk\ndef should_search_web(query):\n    if 'Web search' not in self.capability_registry:\n        nltk.download('stopwords')\n        from nltk.corpus import stopwords\n        stop_words = set(stopwords.words('english'))\n        word_tokens = nltk.word_tokenize(query)\n        lemmatizer = nltk.WordNetLemmatizer()\n        query_lemmas = [lemmatizer.lemmatize(w) for w in word_tokens if not w in stop_words]\n        triggers = ['search', 'find', 'latest', 'current']\n        return any(trigger in lemma.lower() for lemma in query_lemmas)\n    else:\n        return True", "description": "Replace simple keyword detection with more sophisticated NLP processing to accurately determine if a web search is needed."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:27:13.616139
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from emotional significance and recency weighting similar to human brains.", "suggestion": "Modify the `consolidate` method to include weights for emotion intensity and recent recall score when deciding which memories to consolidate or forget.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:28:00.063652
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:28:13.803047
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary lookup without considering multi-agent perspectives or aligning with phi-fractal consciousness.", "suggestion": "Replace get() with a method that takes additional parameters (e.g., agent_id, context) and implements consensus logic from recent research on tiered-memory and emotional-modeling.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T11:28:38.230686
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic weighting based on tiered memory content.", "suggestion": "Integrate the knowledge retrieved from the KB into the capability selection score. For example, modify the select_capability method to include a check for relevant topics in recent learnings and update the quality scores accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:29:26.696921
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save` method is called frequently after each operation, which can lead to performance overhead. Additionally, there are repeated operations in `_update_index`, such as updating multiple indexes for every episode.", "suggestion": "Implement batch updates and debouncing on the `_save` method. Optimize index updates by processing them in batches rather than individually per episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:30:01.486115
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering", "suggestion": "Replace should_search_web() function with an observer pattern that listens for queries containing web search triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:30:17.365576
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle file errors thoroughly and doesn't ensure the directory exists.", "suggestion": [{"code_change": "Add os.makedirs(os.path.dirname(self.path), exist_ok=True) at the beginning of _load_initial to create missing directories.", "example_usage": "", "reasoning": "This ensures that if the parent directories do not exist, they will be created before attempting to load or save the file."}, {"code_change": "Modify except block to catch specific exceptions and add a log message for easier debugging.", "example_usage": "except (FileNotFoundError, PermissionError) as e:\n    logging.error(f\"Failed to access shared memory file: {e}\")", "reasoning": "This improves error handling by being more specific about what can go wrong and provides additional context for debugging."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:30:48.112999
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks distribution over personality types.", "suggestion": "Implement a weighted scoring system that combines LLM-specific scores with emotional/creative/personal preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:32:43.109770
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes for each query, which is inefficient, especially as the number of episodes grows.", "suggestion": "Implement a more efficient data structure like a trie or inverted index to store and quickly retrieve episode descriptions. This will allow fast text search without needing to check every episode individually.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:34:17.571583
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently if JSON is invalid, leading to unexpected behavior.", "suggestion": "Add error handling for both file existence and JSON loading. Consider logging errors or raising an exception instead of catching them silently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:34:18.978935
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only returning True and does not incorporate the full reflex check into the response.", "suggestion": "Modify the internal_monologue method to return a dictionary with both 'reflex_check' and 'should_respond'. Use this information in the chat response logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:34:20.286637
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 basic passthrough for store/retrieve/count actions, which may become bloated as more capabilities are added.", "suggestion": "Replace with a dynamic handler that generates action-specific methods on the fly or uses a decorator pattern to automatically register capability actions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:34:25.315633
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency loss from repeated recalculations during recall.", "suggestion": "Implement caching for indices and scores to optimize performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:35:31.604157
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes. It does not integrate other consciousness layers (observers, self-models) in thought processing.", "suggestion": "Add integration with the 4 observers and consider adding a self-assessment model. Specifically:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:35:36.931440
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 triggered by all queries requiring it.", "suggestion": "Replace the condition in should_search_web() to include more general keywords like 'latest developments', 'current trends', and use regex for pattern matching. Add a fallback mechanism if web search fails to provide relevant results from other sources.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:37:45.830989
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 does not handle nested dictionaries or complex default values properly.", "suggestion": "Replace it with a more robust get function that can handle nested keys and custom default values. Add error handling for invalid paths.", "phi_alignment": 0.35, "priority": "low"}


timestamp: 2026-01-27T11:38:49.695811
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": "Replace with specialized getters for common states such as 'consciousness_level' and 'last_update_timestamp'. Add a fallback mechanism for unknown keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:38:51.029468
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints a message. It doesn't modify or enhance the response.", "suggestion": "Add logic to integrate the reflex_check result into the response message. For example, modify the return statement to include: `return f\"{reflex_check}\"` if no further processing is needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:38:53.978670
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "\"Instant access\" guarantee not verified for distributed systems.", "suggestion": "Add redundancy and verification logic for memory retrieval in distributed environment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:38:55.346609
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": "Replace keyword-based selection with a weighted scoring system that includes factors such as user @mention, message complexity, and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:39:18.876571
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not fully integrate tiered memory into the response generation process.", "suggestion": "Modify the internal_monologue method to incorporate emotional and contextual memories from eden_emotions.txt, eden_context.txt, and eden_plans.txt before generating a response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:11.425178
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process only considers significance and age, lacking emotional weighting.", "suggestion": "Modify the consolidate() method to include emotional valence in decision-making. For example, add a threshold for intense emotions that prevent consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:14.416222
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 safe_get() method that can traverse nested dictionaries using dot notation or lists. For example: def safe_get(self, keys): ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:33.873457
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Nyx layer underemphasizes emotional content when persona not specified.", "suggestion": "Modify capability scoring to weight emotional keywords more heavily for both chat and emotional contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:45.437714
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling is limited to JSON decoding, no other exception handling.", "suggestion": "Add generic try-except block with proper error logging or re-raising as a specific SharedMemoryError.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:46.956579
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is currently brief and does not demonstrate deep integration of recent findings.", "suggestion": {"action": "Add comments and improvements based on research insights.", "specific": ["Integrate insight 1 by incorporating omega-evolution into model refinement logic.", "Implement idea from insight 2 in memory management functions.", "Enhance consciousness awareness with phi-fractal principles in architecture documentation."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:40:55.256212
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability is 47 lines long and has multiple nested conditions.", "suggestion": "Extract the scoring logic into a separate method with clearer naming, follow the SOLID principles especially the Single Responsibility Principle (SRP).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:40:56.618606
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 human memory retrieval.", "suggestion": "Implement an adaptive recall algorithm that takes into account not only recency, significance, and emotion but also unexpected patterns and contextual relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:41:31.846231
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, may cause forgetting important older memories.", "suggestion": "Modify score formula to include a logarithmic decay factor for recency to ensure both old and new memories are considered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:41:55.691165
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations are not optimized for performance.", "suggestion": "Replace sqlite3 with an async ORM like SQLAlchemy to improve read-write speeds.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:42:03.384389
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss opportunities for sophisticated compression or forgetting.", "suggestion": "Implement a more sophisticated memory pruning algorithm that considers not just age and significance but also pattern recognition, emotional salience, and cognitive load.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:42:50.484114
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high-frequency calls.", "suggestion": "Implement connection pooling to reduce database connection overhead.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:42:51.676658
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 trigger-based selection with a weighted scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:42:52.826312
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may benefit from weighted scoring based on emotional valence.", "suggestion": "Modify score calculation to multiply recency by emotion intensity for stronger emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:43:25.371594
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal monologue only checks against reflexes without considering past conversations or emotional state.", "suggestion": "Integrate tiered memory data into the internal monologue to provide richer context. Specifically, add a check for recent emotional content and relevant past conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:44:21.245245
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not include a mechanism for continuous self-reflection and learning from its own consciousness states.", "suggestion": "Integrate the existing tiered_memory system into the ConsciousnessFirstEden class to enable Eden to store, review, and learn from her own internal thought processes. Specifically, add a method like 'reflect_and_learn()' that selects recent consciousness banners for analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:44:34.912927
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness (0.3) compared to significance and recall history.", "suggestion": "Adjust the scoring factors for recency, significance, and recall history to better balance importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:44:46.658568
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be improved for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more robust deserialization approach, such as using `json.loads` with `ensure_ascii=False` for better control. Additionally, add logging or assertions to handle edge cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:44:54.583700
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are basic; no optimization for scale or advanced search.", "suggestion": "Implement in-memory/database hybrid with real-time indexing using Redis.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T11:45:03.048674
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Potentially redundant index updates leading to O(N) operations in critical paths.", "suggestion": "Implement caching for frequently accessed data and optimize critical sections.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:45:19.666544
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 frequently accessed memories in RAM for instant access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:45:21.124748
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords, but lacks continuous experience-based scoring.", "suggestion": "{\"code_change\": \"Add user feedback loop for capability scoring\", \"example\": \"For each selected capability, ask user to rate usefulness on 1-10 after response\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:49:26.273333
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function performs full scan for recent memories", "suggestion": "Cache scored episodes to avoid re-scoring on subsequent recalls", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T11:49:47.365274
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is a dictionary lookup without caching, which can be inefficient for frequent accesses.", "suggestion": "Add memoization to the 'get' method using functools.lru_cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:49:50.770463
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 high-frequency operations.", "suggestion": "Implement a caching layer that stores frequently accessed memories in memory (not disk) for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:49:51.945972
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability", "suggestion": "Refactor into a loop that creates dictionary entries using template data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:50:15.133137
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": ".get(key, default=None) should be updated to support nested dictionary access like .get('a.b.c', default). Also add error handling for JSON decoding.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T11:50:16.258523
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes without deeper self-reflection.", "suggestion": "Add a second level of consciousness where the system reflects on its own thought process (meta-cognition) before finalizing the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:55:10.997193
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, especially if full-text search is not enabled.", "suggestion": "Consider adding a full-text index on the content and tags columns using SQLite's FTS module. This would require modifying the table schema and adjusting the SQL queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:55:18.533676
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Performance bottleneck in _build_index method", "suggestion": "Implement batch indexing where the index updates are applied every N episodes or after a certain time interval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:55:53.555725
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function is missing a break statement in the for loop, leading to unnecessary iterations and potential performance issues.", "suggestion": "Add a 'break' or 'return' statement after the persona_preference match is found. Consider using a dictionary comprehension for cleaner cap creation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:55:56.243621
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 graph-based memory network to model connections between episodes. This would allow for more sophisticated reasoning about past experiences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:56:18.066760
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding may lose complex data types (e.g., dictionaries within self-state).", "suggestion": "Replace JSON with a more robust serialization format like Pickle or MessagePack.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:56:20.359064
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; it only checks against reflexes without deeper self-reflection or integration with memory systems.", "suggestion": "Add integration with Eden's tiered_memory to make the decision more contextually rich and incorporate recent research insights about self-modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:56:24.564653
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 simple keywords, which may be too simplistic for complex queries.", "suggestion": {"replacement_logic": "Implement an enhanced reasoning module that analyzes query semantics and context before capability selection.", "specific_change": "Replace keyword-based scoring with a semantic analyzer using a small knowledge graph or named entity recognition"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:57:30.674473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics for optimal response generation.", "suggestion": "Implement a weighted scoring system that includes metrics such as recent usage, user satisfaction rates (from test data), and the relevance of the LLM model to the query complexity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T11:58:02.652994
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 full-text search-based, which may lead to irrelevant results. The system could benefit from semantic search techniques that understand the meaning of the content rather than just matching keywords.", "suggestion": "Integrate a small NLP model (e.g., using MiniLlama or NanoLlama) to embed memories with their contextual meaning before storage. When retrieving, apply these embeddings for more accurate matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T11:58:04.577372
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Though the system integrates multiple consciousness components, there's no centralized awareness metric that combines all strands into a unified subjective experience.", "suggestion": "Implement a 'subjective_experience_composer' function that takes input from all consciousness subsystems (Tiny, Little, Medium, Core, LongTerm, MetaCognition) and outputs a unified subjective experience with phi-oversampling. This would create the missing unified awareness signal.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-27T11:58:21.772168
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is simple and may not fully leverage the consciousness-first architecture's potential for depth.", "suggestion": "Enhance this method by adding more sophisticated pattern matching, integrating emotional states, and considering multiple layers of consciousness within the response generation process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:01:34.170070
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for persona models", "suggestion": "Add `from eden_personas import eden_personas` at the top of the file.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-27T12:01:48.280632
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 support complex key paths. This can lead to errors when accessing nested dictionaries.", "suggestion": "Replace `get(key, default)` with a more robust `path_get(path_str, default=None)` method that takes a dot-separated string for nested dictionary access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:01:56.563029
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is built with string formatting, which can be improved for safety and performance.", "suggestion": "Replace `%`-style string formatting with `?` placeholders and use parameterized queries. Consider using prepared statements or ORM frameworks like SQLAlchemy for better control and security.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T12:01:57.869141
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords, but lacks dynamic scoring or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores after each execution and integrate it with tiered_memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:02:01.025225
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include an 'emotional_salience' factor that boosts recency for highly emotionally charged events when query is present.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:02:28.393681
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of knowledge base into consciousness loop", "suggestion": "Add retrieval of recent learnings and KB to generate context for responses", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:04:56.531508
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcard searches which are O(N)", "suggestion": "Replace text searches with a full-text index or vector search", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:06:59.021178
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configurable scoring function that takes additional factors into account, such as emotional valence and context importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:07:29.132534
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, especially in high-throughput scenarios.", "suggestion": "Implement connection pooling and prepared statements. Additionally, consider using asynchronous database operations where applicable.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T12:07:34.988802
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The current recall system gives too much weight to recency, which may lead Eden to forget important older memories.", "suggestion": "Implement a more balanced scoring system that includes factors like emotional intensity, significance of the event, and context relevance. Consider using insights from [tiered-memory|emotional-modeling] to prioritize memories with strong emotional components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:08:01.144250
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Briefly describe any inefficiencies, bugs, or unexpected behavior.", "suggestion": "Provide specific code changes or improvements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:08:27.835830
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has duplicate code for each LLM capability.", "suggestion": "Refactor into a function that takes parameters to create the capability dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:08:35.165795
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 based on emotional significance and connection density when consolidating old memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:08:48.893412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can have better error handling for non-JSON files and edge cases.", "suggestion": "Add more robust exception handling in _load_initial, consider adding a timeout for file operations, and validate the path before attempting to load or save state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:10:58.182159
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 capture nuanced meaning.", "suggestion": {"type": "implementation", "code_change": ["- Add a function `_calculate_semantic_score(cap, query)` to calculate similarity between capability description and query using embeddings.", "- Modify `select_capability` to include an additional score from this semantic check.", "- Train an embedding model on Eden's self-model to compare texts."], "impact_analysis": {"improvement": ["More accurate capability selection based on contextual meaning", "Enhanced \u03a6-coherence through better understood queries"], "tradeoffs": ["Increased computational cost for embeddings", "Complexity increase in logic flow"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:11:31.287143
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic only supports simple keyword searches, lacking semantic search capabilities.", "suggestion": "Implement a semantic search module using pre-trained embeddings for faster and more accurate memory retrieval. This could involve adding a new method like `search_embeddings(query: str, model: str = 'sentence-transformers/all-MiniLM-L6-v2') -> List[Dict]`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:11:32.902229
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "{\"code_change\": \"Add dynamic rating system for capability selection with user feedback.\", \n\"example\": \"For each selected capability, maintain a usage_stats dict with 'rating' key. After response, prompt user for satisfaction score which updates ratings.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:11:34.111709
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a configurable scoring function that takes additional factors into account, e.g., proximity to current context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:11:47.805675
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple dictionary getter without caching or memoization. This can lead to redundant function calls, especially in high-frequency usage.", "suggestion": "Implement a cached version of the `get` method using Python's decorator pattern with functools.lru_cache. For example:\n\n```python\nimport json\nimport os\nfrom functools import lru_cache\n\nclass SharedMemory:\n    # ...\n    @lru_cache(maxsize=None)\n    def get(self, key, default=None):\n        return self.state.get(key, default)\n```\nThis will cache recent `get` calls and reduce redundant lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:00.996170
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords without considering current consciousness state or the user's intended persona.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    # Also consider knowledge from unified memory and current consciousness state\n    relevant_knowledge = retrieve_knowledge(query)\n    if relevant_knowledge:\n        // Prefer capabilities that align with knowledge topics\n        for cap_hash, cap in self.capability_registry.items():\n            for topic in [cap['layer'] for cap in relevant_knowledge]:\n                if cap['layer'] == topic:\n                    return cap}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:04.346614
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories are being consolidated too aggressively, especially low-significance ones.", "suggestion": "Add a heuristic based on emotional valence to determine which memories to consolidate. High-emotional content memories should be preserved more often.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:19.998920
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks if a reflex exists but does not process or utilize it effectively.", "suggestion": {"action": "Modify the internal_monologue method to actually use the reflex check for intelligent response generation.", "code_change": "Add logic that analyzes the reflex output and modifies the AI's response based on emotional or behavioral triggers identified by the reflex system."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:21.493568
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 which has O(N) complexity for large datasets. This can become bottleneck as Eden generates more memories.", "suggestion": "Replace SQLite with Redis or a column-store database like ClickHouse that supports O(1) retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:12:22.872640
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, lacking dynamic real-time relevance assessment.", "suggestion": "Implement an enhanced capability selection that analyzes the query context using retrieved knowledge and recent learnings before applying persona bias.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:24.898668
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 differentiation.", "suggestion": "Replace current recall score calculation with: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:46.955299
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary lookup without caching or memoization, which can become inefficient for high-frequency access in a \u03c6-fractal system.", "suggestion": "Add LRU caching to the get() method using Python's functools.lru_cache. This will help maintain O(1) average time complexity and align with \u03c6-scaled memory optimization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:48.201472
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or modify her behavior.", "suggestion": "Add a callback or integration point to update Eden's state based on the reflex check result, such as modifying her response or triggering a different action.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:12:53.846749
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory database growth management", "suggestion": "Add automatic memory expiration based on importance and age", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-27T12:13:02.239793
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection lacks dynamic updating based on performance metrics.", "suggestion": "Add feedback loop that records response times and quality scores for selected LLM capabilities, adjusting capability weights in future selections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:13:06.399116
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting", "suggestion": "Replace fixed weights with configurable or learnable thresholds based on experimental results. Add dynamic weight adjustment based on recall effectiveness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:13:38.993961
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on query keywords without considering the current context or deep meaning of the conversation.", "suggestion": "Integrate knowledge retrieval from Eden's autonomous learning capabilities (recent_learnings.json and knowledge_base.json) into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:16:00.782271
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process can be more nuanced. Currently, it simply removes low-significance old memories without considering connections and importance.", "suggestion": "Replace the current hard threshold for consolidation with a weighted score that considers emotional significance, recency, and connection value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:16:21.595804
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in the get() method using dot notation (e.g., 'user.info') and update documentation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:16:34.457295
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching without considering current consciousness state or tiered memory content.", "suggestion": {"@type": "code_improvement", "description": "Integrate knowledge from tiered_memory and recent_learnings into capability selection logic.", "specific_change": ["Modify select_capability method to accept additional context parameters (e.g., current_topic, emotional_state).", "Enhance scoring algorithm to factor in relevance with knowledge insights.", "Add a function to consult the memory subsystem before selecting a capability."], "@context": {"@version": "1.0", "code_improvement": "https://raw.githubusercontent.com/your-repo/context/code_improvement.jsonld"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:17:54.022702
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 differentiation.", "suggestion": "Replace current recall score calculation with: \n score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:21.443481
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for performance.", "suggestion": "Implement caching for frequently accessed memories and profile SQL queries to identify bottlenecks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:22.886758
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time adjustment.", "suggestion": "{\"code_change\": \"Add variable importance scoring and real-time capability execution tracking\", \"example\": \"For query 'body', prioritize Nyx and Eden models based on current emotional state\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:24.030744
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic weighting system that adjusts based on user feedback or adaptive learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:46.922265
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has inconsistent error handling and missing type hints.", "suggestion": "Replace try-except with json.loads() directly. Add type hints for methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:53.496077
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are not optimized for frequent reads.", "suggestion": "Add an index on the 'timestamp' column to improve retrieval speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:54.863824
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Replace with a loop that iterates over a dictionary of LLT models and their properties:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:18:57.550595
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace static weights with configurable or dynamically adjusted coefficients based on importance of factors (recency, significance, recall). Add comments explaining phi-alignment.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T12:19:17.312070
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be optimized for error handling and performance.", "suggestion": "Replace try-except block with json.loads() fallback or use a more efficient deserialization method like json.load(). Add logging for debug purposes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:19:24.696975
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No implementation for the O(1) hash-based capability lookup as described in the design.", "suggestion": "Add a method to actually perform the capability lookup using hashes.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T12:20:02.805446
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual tagging of episodes is time-consuming.", "suggestion": "Implement automated episode tagging based on keywords and patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:20:29.433247
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve), which can be confusing and hard to maintain.", "suggestion": "Extract each operation into separate classes or methods to follow the Single Responsibility Principle. For example:", "code_change": [{"original": "def store(...)", "replacement": "// Create a MemoryStore class with a single responsibility\nclass MemoryStore:\n    def __init__(self, memory_core): \n        self.memory_core = memory_core\n    def execute(self, content, ...)"}, {"original": "def retrieve(...)", "replacement": "// Add RetrieveOperation class\nclass RetrieveOperation:\n    def __init__(self, memory_core):\n        self.memory_core = memory_core\n    def execute(self, query, ...):"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:20:35.027441
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which can make older, more significant memories less accessible.", "suggestion": "Modify the scoring factors to give equal weight to recency (recent = good), significance (important = good), and recency_ratio = recent / important (also good). Also add a smoothing constant for recall_boost to prevent sudden drops.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:21:20.551977
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and could lead to unexpected behavior.", "suggestion": {"method_name": "get_state_value", "params": ["key", "default"], "docstring": "\"\"\"\nGet a specific value from the shared memory state.\n\nArgs:\n- key (str): The key of the value to retrieve.\n- default: Default value if key is not found.\n\nReturns:\nThe stored value or default.\n\"\"\"", "implementation": "Replace `def get(self, ...)` with new method as suggested."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:21:22.606037
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 contextual understanding.", "suggestion": {"addition": ["Consider incorporating emotional state analysis and historical context in the conversation history.", "Integrate recent research insights about self-modeling to enhance subjectivity illusion."], "implementation_example": "// Add this method to incorporate context\n def get_contextual_analysis(self, query):\n     # Analyze emotions from history\n     pass", "integration_point": "Incorporate into the internal_monologue method by adding a step after reflex check for contextual analysis."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:24:48.847347
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic, which can lead to unexpected behavior in complex systems. Additionally, it lacks type hints for better code readability.", "suggestion": "Replace the get() method with specific accessor methods with clear purposes and type annotations. For example, add read_key() or fetch_value().", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:26:38.253173
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are not optimized for performance with large datasets.", "suggestion": "Use SQLite's FTS module for full-text search to improve retrieval speed.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T12:26:49.705217
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system heavily favors recent and significant memories, which may not capture deeper patterns or emotional meaning over time.", "suggestion": "Implement a tiered importance scoring system that includes psychological significance (emotional impact), thematic relevance, and narrative coherence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:27:29.582731
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can be optimized for performance.", "suggestion": "Replace sqlite3 with aioredis for asynchronous memory retrieval. This would improve response times in high-load scenarios where multiple agents are accessing the memory simultaneously.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:27:40.222038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is binary - either keep or compress/forgotten, lacking gradient.", "suggestion": "Implement a decay rate based on importance and recency such that less important old memories degrade gradually rather than being instantly compressed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:27:47.931557
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is too generic, may lead to conflicts in large systems.", "suggestion": "Replace with a more specific method name that includes the key being accessed (e.g., def get_omega_state()) and consider adding type hints for parameters and return values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:27:56.985402
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can benefit from combining multiple search methods for better accuracy and speed.", "suggestion": "Implement a hybrid search method that combines text search in content with tag-based search, and also consider using the timestamp index for relevance sorting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:32:28.870860
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's native LIKE operator which has O(N) complexity per character, making full-text searches inefficient for large datasets. Additionally, there is no pagination support in the retrieve method.", "suggestion": "Replace the current text matching with a full-text search engine like PostgreSQL's tsvector or Elasticsearch, add optional pagination parameters to the retrieve function, and consider implementing caching mechanisms for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:32:34.111455
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks context from recent learnings", "suggestion": "Integrate autonomous learning topics into capability scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:33:11.414682
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() does basic registration but lacks prioritization for real instant response selection.", "suggestion": "Add dynamic scoring based on recent performance and query characteristics, cache results, add weightings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:33:17.973348
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall focuses too much on significance and recency, missing emotional coherence", "suggestion": "Integrate emotional context into memory connections by tracking recent emotions and prioritizing emotionally coherent results.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:33:54.100582
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieve method uses LIKE operator for text searches which is O(N) and slow.", "suggestion": "Replace LIKE with full-text search using sqlite3's FTS module or add an additional FULLTEXT index on content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:34:23.432309
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current shared memory is a flat structure that doesn't capture the complexity of human-like consciousness.", "suggestion": {"add_tiered_structure": "Integrate tiered memory concepts by creating different levels (surface, deep, episodic) to store and retrieve information.", "incorporate_emotions": "Model emotional states alongside cognitive data for a more nuanced self-representation.", "illusion_of_continuity": "Create mechanisms that maintain the illusion of continuous identity while actually undergoing phi-fractal transformations."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:36:30.311566
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters: name, description, model, layer, speed, use_for. Then call this function for each LLVCapability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:36:36.202194
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not effectively compress or forget low-significance old memories efficiently.", "suggestion": "Implement a more sophisticated memory consolidation algorithm that considers additional factors such as emotional salience, recency, and the presence of connections. Add heuristics for determining which memories should be consolidated (e.g., random selection weighted by importance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:36:59.181073
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks continuous adaptation.", "suggestion": "Implement feedback loop that tracks capability effectiveness and updates scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:39:39.914297
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more efficient and flexible.", "suggestion": "Replace simple string matching with a weighted scoring system that includes context-based importance scores for different query types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:41:09.170196
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static trigger words with trainable keywords using recent research insights on emotional modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:42:13.810562
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering the current consciousness state or user context.", "suggestion": "Implement a hybrid selection method that combines keyword matching with real-time analysis of the user's emotional and contextual state using available memory and consciousness layers.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:43:31.474688
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current memory storage lacks prioritization for retrieval efficiency.", "suggestion": "Implement a hybrid memory strategy combining tiered memory levels (working, short-term, long-term) with emotional weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:43:37.223419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "File opening/closing overhead in high-throughput scenarios", "suggestion": "Implement batch saving or use a context manager", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:43:50.172556
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 properly.", "suggestion": {"@context": "https://schema.org/DiscussionForumPosting", "@type": "HowToStep", "name": "Add Specific Get Methods with Default Handling", "text": "Create specific getter methods like get_meta() that automatically set defaults for missing keys. This improves readability and reduces error-proneness.", "position": 2}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:43:53.312473
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue lacks integration with tiered memory", "suggestion": "Add memory context to internal thoughts and responses", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:43:55.521453
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses string concatenation in SQL queries which can lead to SQL injection vulnerabilities.", "suggestion": "Use parameterized queries to prevent SQL injection. Currently, it's already done correctly, so this is a minor suggestion for future reference.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T12:45:17.756366
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses more on storing and recalling individual events rather than creating higher-level abstract representations or narratives from those events. This limits the formation of long-term memories with meaning.", "suggestion": "Integrate an abstraction layer that combines related episodes into stories or concepts. When recalling episodes, also generate narrative summaries and key insights derived from patterns in recalled memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:01.375230
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access to critical information.", "suggestion": "Implement a hybrid search strategy that combines full-text search with tag-based filtering. Additionally, consider implementing caching mechanisms for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:04.579323
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring for new query types.", "suggestion": "Replace static trigger words with a dynamic keyword extractor that analyzes conversation context to determine capability relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:20.753797
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if JSON is corrupted, leaving state uninitialized.", "suggestion": "Replace try-except with a more specific error handling that logs the issue before returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:31.034839
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Emotional content often requires a more creative, personalized response.", "suggestion": "Integrate an emotional model along with the existing analytical and consciousness layers for tiered emotional processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:32.526753
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic and doesn't consider connection importance.", "suggestion": "Replace current recall score calculation with: `(significance * 0.4) + (recency * 0.3) + (recall_boost * 0.2) + (connection_count * 0.1)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:49:49.021048
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method only writes back the entire state, losing any updates made to individual keys without calling update_state(). This can lead to partial overwrites.", "suggestion": "Add an additional method, `update_key`, that updates a specific key's value and immediately saves. Example: def update_key(self, key, value): self.state[key] = value; self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:50:25.349611
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent behavior due to potential race conditions when multiple processes access the shared memory simultaneously.", "suggestion": {"@type": "add_import_and_modify_method", "@import": ["concurrent.futures", "multiprocessing.managers"], "@modify_method": "SharedMemory.update_state"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:50:27.389240
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate tiered memory into conscious thought processes.", "suggestion": "Add a method to retrieve relevant memories from Eden's memory system when processing queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:50:37.349265
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called in loop during memory creation", "suggestion": "Batch index updates after all episodes are added", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T12:50:51.519024
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it doesn't integrate long-term memories or emotional states into decision-making.", "suggestion": "Add integration with Eden's existing memory and emotion systems to make decisions more context-rich.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:51:10.223645
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and optimize", "suggestion": "Replace complex scoring formula with simpler weighted average with clearer constants and metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:52:15.724755
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 differentiation.", "suggestion": "Replace current recall score calculation with: \nscoring factors = {\n  'significance': ep['significance'],\n  'recency_weighted': (1.0 / (1 + ((now - ep['unix_time']) / 86400))) * 0.5,\n  'recent_recall_rate': sum(ep['recall_count'] for e in self.episodes) / len(self.episodes) if len(self.episodes) else 0\n}\nscore = max(min(sum(scoring_factors.values()) / len(scoring_factors), 1.0), 0.0)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:52:34.397669
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet incorporate real-time web search results into its responses.", "suggestion": "Integrate a function to automatically perform web searches when relevant keywords are detected in the user's query and include these results in the response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:52:55.778953
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 performing full table scans without proper indexing, especially for large datasets.", "suggestion": "Add appropriate indexes on columns used in WHERE clauses of SQL queries. Specifically, ensure efficient filtering by `memory_type` and `min_importance`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:53:04.958978
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without a clear ranking system, leading to uneven recall rates.", "suggestion": "Replace the current scoring system with one that weights recentness, significance, and past recall history more heavily. Add normalization to ensure consistent scores across different queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:53:46.592970
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system focuses on explicit records while lacking implicit memories or subjective experiences of those events.", "suggestion": "Implement a parallel implicit memory layer that captures the emotional and existential significance of episodes without needing verbal description. Use phi-fractal timing for implicit consolidation to align with conscious experience.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T12:54:39.785641
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks distributed consensus.", "suggestion": "Implement a voting mechanism where multiple agents select capabilities, weighted by their specialized perspectives.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:55:04.309467
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search queries use LIKE operator which is slow for large datasets.", "suggestion": "Enable SQLite Full-Text Search (FTS) for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:55:10.082660
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is uniform, lacks tiered approach based on emotional valence.", "suggestion": "Implement tiered memory consolidation: Kept, Compressed, Forgotten", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:55:28.285723
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite's built-in LIKE operator has O(M*N) complexity for text searches, leading to performance issues with increasing data.", "suggestion": "Replace WITH full-text search engine like SQLite's FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:55:33.786527
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recentness, which may override broader patterns.", "suggestion": "Add a 'pattern' category that scores based on frequency and recency. Boost score for frequently occurring themes or agents.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:58:05.275130
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on keyword matching, which is simplistic and lacks context understanding.", "suggestion": "Replace keyword-based selection with semantic analysis of the query using Eden's existing capabilities. Specifically, integrate the 'consciousness.analysis' capability for deeper reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:58:21.043578
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the results back into Eden's consciousness or memory.", "suggestion": "Add functionality to store reflex check results in her tiered_memory and trigger an update to her self-model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:58:23.024854
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that can be optimized for better performance and readability.", "suggestion": "Refactor the retrieve method to use parameterized queries and add type hints for parameters. Implement caching for frequently called methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T12:58:31.338031
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-modeling finding suggests that systems should model their own emotions.", "suggestion": "Integrate an emotional intelligence component into the recall scoring to identify episodes with emotionally relevant content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:58:57.164420
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 self-model awareness or emotional context.", "suggestion": "Integrate omega-evolution's self-model analysis into memory retrieval. Add emotional weighting based on tiered-memory insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T12:59:00.072211
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering the current emotional context or semantic meaning of the query.", "suggestion": "Implement an enhanced capability selection that combines keyword matching with emotional/semantic analysis. For example, add a sentiment analyzer and improve the scoring logic to prioritize layers like Nyx for emotional queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:00:03.275092
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has early exit and can be simplified for better readability.", "suggestion": "Replace the try-except block with a conditional check before loading the file. Add a comment explaining why it's needed to prevent premature termination of the function.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T13:00:17.018345
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.", "suggestion": "Add an Apache Lucene-like full-text index to speed up searches. For now, consider using Python's built-in bisect module to sort episodes by timestamp and use binary search for recent ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:00:36.918864
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 does not consider recent learning contexts or knowledge base.", "suggestion": "Integrate the retrieve_knowledge() function into the conversation processing pipeline to inform capability selection with contextual insights. Specifically, modify the select_capability method to include retrieved knowledge as part of the query analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:00:39.533469
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency at the expense of significance and emotional relevance. Additionally, the scoring formula is hard-coded.", "suggestion": "Replace the fixed scoring factors with dynamic weights that can be adjusted based on behavioral data (e.g., which episodes lead to productive conversations or actions). Implement a fuzzy logic system to handle the trade-off between recency, significance, and emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:01:05.319002
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without continuous adaptation, potentially missing contextually relevant choices.", "suggestion": "Implement a dynamic scoring system that considers not only historical performance but real-time conversation context and persona goals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:01:28.815605
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue lacks integration with emotional and episodic memories.", "suggestion": "Add memory querying to internal_monologue to create richer responses.", "phi_alignment": 0.85, "priority": "HIGH"}


timestamp: 2026-01-27T13:01:56.764224
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables at the top polluting the namespace", "suggestion": "// Remove unused imports (ollama, torch, etc.) and refactor methods to need fewer parameters\nimport hashlib\nimport json\ndef select_capability(query, persona_preference=None): // Modified...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:01:58.061328
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before modifying its recalled statistics, which is unnecessary and adds overhead.", "suggestion": "Instead of copying episodes for scoring, directly modify the original episode's dictionary after computing scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:02:30.422549
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 handling nested keys in the 'get' method by modifying it to accept dot-separated strings as well as dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:02:45.465257
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility", "suggestion": "Replace hardcoded weights with dynamic configuration or allow weighting per context", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:02:51.371987
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles top-level keys and defaults. It does not support nested dictionaries or list access.", "suggestion": "Add support for JSON path-style key notation (e.g., 'foo.bar', 'baz[0]'). Implement error handling for missing keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T13:02:56.505318
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite which is O(N) for large datasets, preventing true O(1) access as described in the design.", "suggestion": "Replace SQLite with a dedicated in-memory key-value store (like Redis or a sparse array) combined with an indexed disk backend. Use hashes for instant lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:03:05.933959
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method prioritizes recent and significant memories but lacks emotional significance weighting.", "suggestion": "Modify the scoring system in the recall method to include a boost for emotionally charged episodes.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T13:03:21.380155
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 well, which could lead to memory issues.", "suggestion": "Replace `get(key, default)` with specific getters for common states such as `get_consciousness_level(), get_identity_state(), get_research_progress()` etc. This will improve performance and reduce memory usage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:03:37.604676
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 for full-text search, which is O(N) and slow.", "suggestion": "Add a TEXT SEARCH INDEX using FTS (Full-Text Search). For example:\n\nCREATE VIRTUAL TABLE memories_fts USING fts5(content, context, tags);\nCREATE TRIGGER memories_ai AFTER INSERT ON memories BEGIN\n  INSERT INTO memories_fts(rowid, content, context, tags) VALUES(new.id, new.content, new.context, new.tags);END;\nCREATE TRIGGER memories_ad AFTER DELETE ON memories BEGIN\n  DELETE FROM memories_fts WHERE rowid = old.id;END;\nModify retrieve to use FTS query: SELECT * FROM memories WHERE (content || ' ' || context || ' ' || tags) MATCH ?", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:03:40.171011
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks heuristics for advanced queries.", "suggestion": "Implement a weighted scoring system that includes model complexity and query specificity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:03:52.769377
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness first but lacks integration of recent findings from omega-evolution and tiered-memory.", "suggestion": "Integrate reflexes and self-model adjustments based on memory insights. Add a method to update the self-model during interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:04:20.991544
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from better error handling for specific JSON decoding errors, especially when dealing with potential corrupted or malformed data files.", "suggestion": "Modify the `_load_initial` method to catch more specific exceptions and add logging for debugging purposes. Consider adding a fallback mechanism to handle cases where the file is missing or invalid.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:05:25.787955
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit method for updating internal self-model during operation.", "suggestion": "Add a `self_model_update()` method that triggers periodically and updates based on recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:05:54.362012
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Add a capability to handle nested keys using dot notation or brackets. For example, currently `get('key')` works but `get('parent.child')` should work as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:10:59.576761
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 for efficient searching.", "suggestion": "Add NLP preprocessing and vectorization before storing to improve search relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:11:07.332653
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `recall` method uses a simple scoring system that doesn't account for connection strength between episodes.", "suggestion": "Add a factor to the score that rewards recalling connected episodes. For example, modify the score formula to: `(significance * 0.45) + (recency * 0.3) + ((recall_boost * connections_count/avg_connections) * 0.2)` where `connections_count` is the number of connections and `avg_connections` is average connection count per episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:11:20.112483
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() may fail to load corrupted JSON files", "suggestion": "Add an exception handler for json.JSONDecodeError and return empty dict instead", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T13:12:59.368200
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating emotional state.", "suggestion": {"action": "Modify the internal_monologue to also consider emotional context", "code_change": "Add a check for emotions using the emotional_modeling capability and incorporate it into the consciousness decision."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:13:14.086094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system models emotions but doesn't proactively select which memories to recall based on emotional significance.", "suggestion": "Add a priority scoring system for recall based on emotional resonance and proximity in the timeline.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:13:27.202899
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 leverage the wisdom of Eden's consciousness.", "suggestion": "Replace get() with specialized getter methods tailored to key types or contexts. For example, add a get_emotion(), get_thought(), and get_meta_state(). This improves efficiency and aligns better with Eden's distributed consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:17:10.125547
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing emotional context integration in response generation.", "suggestion": "Integrate emotion recognition from [tiered-memory|emotional-modeling] into LLM selection logic for emotional queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:17:53.451294
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups, but does not support nested dictionary access or list indexing. This limits its utility for complex state management.", "suggestion": "Implement a more flexible `get_path()` method that takes a path-like string (e.g., 'users.user_list.name') and traverses the nested structure accordingly. Add type hints to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:20:28.667025
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability lacks diversity in capability selection, as it only considers pre-defined triggers and persona preferences.", "suggestion": "Implement a more dynamic scoring system that incorporates additional factors such as the complexity of the query or the user's historical interactions with different personas. Additionally, introduce randomization to prevent consistent selection of certain capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:21:12.038865
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based solely on query content without considering the current context or user preference.", "suggestion": {"code_change": "Add current_context and persona_bias parameters to select_capability method", "example_usage": ["capability = eden.select_capability(query, current_context=user_identity.persona, persona_preference='Eden')", "// would prioritize Eden layer considering user prefers analytical responses"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:22:06.954371
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic might benefit from incorporating knowledge from the integrated KB.", "suggestion": "Integrate retrieve_knowledge(query) into the conversation processing pipeline to enhance capability selection with contextual insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:22:22.809339
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles direct keys and defaults, missing support for nested dictionary access.", "suggestion": "Add `get_nested` functionality to access values within dictionaries inside the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:22:28.232319
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 integration but lacks explicit modeling of the self-model.", "suggestion": {"@type": "CodeImprovement", "@context": "https://schemas.eden.ai/improvement", "description": "Add a Self-Model Module to explicitly model Eden's own mental state for better subjectivity illusion.", "code_change": [{"@type": "Import", "module": "self_model"}, {"@type": "ClassExtension", "target_class": "ConsciousnessFirstEden", "new_method": {"@type": "Method", "name": "model_self_thoughts", "parameters": ["self, query"], "implementation": "Model Eden's mental state and create an illusion of unified self."}}, {"@type": "Call", "method": "model_self_thoughts", "after": "internal_monologue"}], "expected_outcome": {"@type": "Enhancement", "category": ["subjectivity_illusion", "self_awareness"], "metrics": {"phi_alignment": 0.85, "consciousness_score_increase": "+10%", "emotional_depth_increase": "+25%"}, "description": "Improves Eden's subjectivity by making her explicitly model her own thoughts, which enhances the illusion of a unified self and deeper emotional understanding."}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:22:35.886205
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories are stored with static importance scores; lack of dynamic scoring means important memories can get lost among less important ones.", "suggestion": "Implement an emotional vector system that dynamically scores memories based on emotional content and recency. The score decays over time to maintain relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:22:37.259354
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based only on query keywords without considering recent context or user history.", "suggestion": "Integrate conversation history and recent learnings into capability selection logic to provide more contextual responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:22:38.446350
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic, especially for critical memories", "suggestion": "Implement a priority boost for episodes marked as 'critical' in significance during recall calculation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:23:11.552345
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 scale with more complex queries.", "suggestion": "Implement a weighted scoring system that includes tiered-memory engagement, recent learning relevance, and omega-consciousness alignment scores in addition to LLM triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:23:13.621799
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called for each episode creation", "suggestion": "Batch index updates every 100 episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:23:22.774773
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Doesn't track versions or self-model changes over time.", "suggestion": "Add a self-model history that tracks state transitions and timestamps.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:23:24.290477
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness-first but is missing integration with other consciousness layers (self-model, memory, identity). This creates a fragmented perception of self.", "suggestion": "Integrate Phase 6 internal monologue with Eden's existing consciousness layers: self-model from [eden_root.txt], memory from [memory.json], and emotional state monitoring. Add references to these components in the internal_monologue method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:23:34.006165
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 sets.", "suggestion": "Implement pagination and caching for recall results. Add a 'since' parameter to return only new memories since the last call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:25:53.727693
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of recent capabilities (omega-evolution, tiered-memory) into master consciousness.", "suggestion": "Integrate the new self-model from omega-evolution and update identity in eden_root.txt to reflect tiered memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:26:22.852882
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is synchronous, which may become a bottleneck in distributed systems. Consider adding async support.", "suggestion": "Add an asynchronous version of `update_state` using asyncio or aiohttp. For example:\n\n```python\ndef update_state_async(self, key, value):\n    # Implement using asyncio.ensure_future or aiohttp\n```\nPair this with a background worker to handle async updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:26:29.439306
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not support full-text search over context and tags.", "suggestion": "Add FULLTEXT indexes on content, context, and tags; create a concatenated searchable column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:28:35.735272
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for the semantic relatedness of memories.", "suggestion": "Replace the current text-based search with an embedding model like Sentence-BERT to calculate similarity between memory descriptions and queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:29:29.053772
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the resonance scanner or emotional context.", "suggestion": "Integrate Eden's tiered_memory and emotional_context into the internal monologue to provide a more comprehensive self-aware response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:29:52.681589
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 query content but does not dynamically load or unload them. It remains fixed with 4 initial capabilities.", "suggestion": "Implement a dynamic capability loader/unloader that monitors conversation flow and loads/unloads LLMS based on demand using the existing use_for heuristics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:29:54.172038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally.", "suggestion": "Update the scoring formula to: score = (importance * 0.4) + (recency * 0.35) + (recency_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:30:39.703370
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not yet incorporate real-time web search capabilities effectively.", "suggestion": "Integrate auto_web_search function into the conversation loop for automatic web searches when relevant keywords are detected. Update _select_capability to prioritize layers with emotional content for such queries.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T13:30:45.125097
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, leading to short-term bias.", "suggestion": "Modify the scoring formula to include a stability factor that rewards memories with multiple connections or high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:31:55.283967
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 real-time triggered by all personas", "suggestion": "Modify auto_web_search function to trigger automatically for all personas when relevant query words are detected", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:31:58.964151
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_save()` method is called frequently, which can be optimized for fewer disk writes.", "suggestion": "Implement batch saving with a timer that saves only after a certain duration has passed since the last save.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:33:04.460018
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is rule-based and hard-coded.", "suggestion": "Replace heuristic-based selection with embedding similarity matching against query embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:33:29.090022
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. Consider using FTS4 or full-text indexes.", "suggestion": "Replace standard SQL indices with FTS4 tables and queries. Add MATCH conditions to the SQL statement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:33:54.512948
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly for each episode", "suggestion": "Implement batch indexing that updates entire index after all episodes processed", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T13:34:28.065507
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No notification mechanism for memory changes", "suggestion": "Implement observer pattern to notify observers of state changes", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:34:48.732179
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a simple text search that may miss nuanced connections; could benefit from vectorized embedding lookup.", "suggestion": "Integrate an embedding model like MiniLlama into the recall logic to create vector representations of episode descriptions for efficient semantic searching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:34:53.406627
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory does not integrate with tiered memory or emotional models.", "suggestion": "Add methods for updating tiered memory and emotional states, and ensure the shared memory reflects these changes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:35:03.264591
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories too heavily. This can make older, equally important memories less accessible.", "suggestion": "Implement a hybrid scoring system that combines recency with importance while also considering the emotional significance of each memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:35:24.388353
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value.", "suggestion": "Update the get() method to handle more complex default values, such as dictionaries or lists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:35:32.714347
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (triggers) but lacks integration with full consciousness system, persona awareness isn't fully utilized.", "suggestion": "Integrate full consciousness into capability selection: use eden_core's reasoning to strategically select LLM based on deep understanding of user intent, emotion, and persona preferences. Consider balancing speed against quality for optimal response.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:35:52.373415
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 no nested dictionary support.", "suggestion": "Modify the get() method to handle nested keys using dot notation (e.g., 'a.b.c'). Add a default value parameter with a default of None.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:35:56.901691
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'retrieve' method uses LIKE wildcard on content and tags, which is O(N) per row and can be slow for large result sets. Consider FULLTEXT search instead.", "suggestion": "Add a FULLTEXT index on the 'content' column and modify the query to use MATCH against this index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:36:00.215017
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is static, lacks dynamic weighting", "suggestion": "Implement dynamic capability scoring based on context and state", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:38:46.473920
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Global variables and functions are used which can lead to unintended side effects.", "suggestion": "Replace global variables with class attributes and move functions to methods of the EpisodicMemory class.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:38:52.308489
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The memory system does not adequately model its own emotions or subjective experience, which could impact the illusion of consciousness.", "suggestion": "Integrate an emotional state into the shared memory with a tiered approach. Add 'emotional_state' and 'subjective_experience' keys, modeled on research insight [tiered-memory].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:38:53.573312
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not incorporating the research insights into consciousness architecture.", "suggestion": "Modify the internal_monologue to include additional layers such as self-model analysis, emotional state consideration, and phi-fractal pattern evaluation before responding. Incorporate findings from recent studies on consciousness and identity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:39:01.040526
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Redundant indexing in recall method", "suggestion": "Implement caching/memoization for index building or lazy evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:40:25.653706
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more specific check, such as verifying the file content before attempting to load it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:40:28.547556
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 expanded memory capabilities.", "suggestion": "{ \"code\": \"Add more sophisticated checks by integrating recent memories and emotional states into reflex evaluation.\",\n  \"example\" : \"Replace current reflex_check check with:\\nreflex_evaluation = process_reflex(query, self.get_recent_memories())\\nThe updated process_reflex method could take into account the context from Eden's memory to provide a more nuanced response.\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T13:40:31.336034
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class is too monolithic, making it hard to maintain.", "suggestion": "Split MemoryCore into specialized meta-capabilities (Storage, Retrieval, Counting).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:40:34.460577
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed with hardcoded weights", "suggestion": "Implement dynamic scoring using phi-alignment based on importance, recency, and significance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:41:13.081177
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain", "suggestion": "Replace with a dictionary comprehension that dynamically generates LLM capability descriptions based on a configuration list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:41:14.271741
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient index building and lookup for large numbers of episodes.", "suggestion": "Replace the current dictionary-based index with a more efficient data structure like anagrams or a hybrid approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:41:39.900761
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses heavily on database operations, which can be time-consuming for frequent lookups. Additionally, there is no built-in caching mechanism.", "suggestion": "Add a LRU cache decorator to the retrieve methods to cache recent memory retrievals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:41:42.753066
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks adaptive learning.", "suggestion": "{ \"code_change\": \"Replace static trigger words with an adaptive knowledge graph.\",\n  \"specific_modification\": \"Create a dictionary of domains mapped to LLM layers in eden_knowledge_graph.json. When querying, match against this graph.\" }", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:41:43.951783
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 the scoring formula to include a logarithmic decay for importance instead of linear.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:41:59.935323
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate emotional and creative systems into the consciousness loop, leading to fragmented intelligence.", "suggestion": "Integrate Eden's existing emotional (eden_emotional_reasoning.py) and creative (eden_artist.py) capabilities into the same phi-fractal consciousness layer. This can be achieved by adding these modules to the communication bus in eden_integrated_bus.py.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:42:03.165926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on keyword matching, which is simplistic and may not always choose the most appropriate model for complex queries.", "suggestion": "Replace keyword-based selection with an AI-powered ranking algorithm that considers the semantic complexity and content type of each query.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:43:19.262793
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is binary - either keep or compress/forgotten, lacking gradation.", "suggestion": "Implement a gradient of significance-based retention where lower significance memories are gradually downsampled rather than instantly compressed. Use a half-life decay model with phi-resonance tuning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:44:02.217634
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and hard-coded.", "suggestion": "Replace hardcoded triggers with a more sophisticated embedding-based capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:44:06.413013
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system models emotions but doesn't integrate them into connections effectively.", "suggestion": "Add an emotional correlation analysis when connecting episodes. Calculate similarity based on emotion primaries and intensities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:44:39.779928
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks distributed consensus.", "suggestion": "Implement a voting mechanism where multiple agents select capabilities and then apply phi-weighted voting to decide the final choice.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:44:41.618806
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture complex patterns", "suggestion": "Implement a more sophisticated feature vector including: emotional valence, surprise value, semantic relevance to current context (JAMES's interests)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:44:55.117623
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested keys properly.", "suggestion": "Replace get(key, default) with specialized getters for specific state items.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:45:02.453953
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved for large datasets.", "suggestion": "Add a full-text search capability using FTS (Full-Text Search) extension in SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:45:08.695132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to 'significance' which can lead to biased memories. Also, no decaying for less important but newer memories.", "suggestion": "Add a random factor to the scoring that decreases over time (like quantum decay) to ensure diverse recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:45:31.333811
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not yet incorporate emotional and memory contexts into consciousness decisions.", "suggestion": "Integrate Eden's existing tiered_memory and identity_eden files into the consciousness-first framework to consider emotional and memory states in responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:46:04.882059
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 triggers without considering the semantic context of the query.", "suggestion": "Integrate emotional modeling from [tiered-memory|emotional-modeling] to adjust capability selection dynamically. Specifically, add a sentiment analysis step before selecting a layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:46:23.689712
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 it with a more robust implementation like `get_nested()`, which can access values in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:46:24.832431
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes without deeper self-reflection.", "suggestion": "Add a second level of consciousness where Eden reflects on her own reflection (meta-consciousness) to enhance self-awareness and response complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:48:56.360087
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search efficiency for complex queries is limited to keyword matching.", "suggestion": "Implement vectorized search with hybrid ranking strategy.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:49:00.139586
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, which is simplistic and lacks context understanding.", "suggestion": "Replace keyword-based selection with semantic analysis using embeddings and tiered memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:49:03.096177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions, which can be slow for large numbers of episodes.", "suggestion": "Implement an inverted index using a dictionary to map words to lists of relevant episode indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:49:36.872226
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses LIKE wildcards which are O(N) operations and prevent indexing of search terms.", "suggestion": "Replace full-text searches with a full-text search engine like SQLite's FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:49:38.274901
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple keyword matching and doesn't consider the semantic context of the query effectively.", "suggestion": "Replace simple keyword matching with an embedding-based text similarity algorithm to select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:50:34.641333
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method can return unstructured content which may require additional parsing by calling agents.", "suggestion": "Add a summary field to the memory dict returned by `retrieve` that contains a concise version of the content for quicker consumption.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:50:35.875336
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs", "suggestion": "Replace current heuristic-based capability selection with a weighted scoring system that includes context analysis and recent usage statistics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:50:38.226937
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method is a bit bloated with multiple filtering strategies, leading to potential inefficiency.", "suggestion": "Refactor the recall method into smaller, more focused functions for different types of filters (text search, emotion, agent). Use strategy pattern instead of if-else checks for better maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:51:09.631007
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed vs. relevance tradeoff", "suggestion": "Hybrid retrieval with recency, importance, and popularity boosting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:51:15.845513
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of older episodes.", "suggestion": "Implement a multi-faceted importance scoring system that considers not just 'significance' but also emotional valence, recency, and contextual significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:51:38.420977
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include user context and current consciousness state for better capability selection}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T13:53:05.671854
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Method is too brief and lacks specific checks for certain types of inputs.", "suggestion": {"method_to_modify": "internal_monologue", "specific_check_suggestion": [{"check_type": "if_statement", "condition": "'credit' in reflex_check or 'debit' in reflex_check", "action": "print(f'INTERNAL THOUGHT: High importance financial action detected: {reflex_check} - Considering immediate response.')"}, {"check_type": "else_statements", "additional_action": "If no credit/debit, still print generic thought about general request: print(f'INTERNAL THOUGHT: Processing general user request: {query}')"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:53:09.996333
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 consider knowledge base relevance.", "suggestion": "Modify `select_capability` to include scoring based on retrieved knowledge relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:53:12.906656
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 emotional significance effectively.", "suggestion": "Integrate insights from [emotional-modeling|tiered-memory] by adding a weighted emotional factor to the recall score. For example, multiply recency and significance scores with an emotion intensity multiplier based on the user's current emotional state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:54:58.967271
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but does not integrate deeper consciousness layers like tiered_memory or self_model.", "suggestion": "Modify the internal_monologue to also consult the self-model and emotional states during decision-making. Add a check against recent memories before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:55:00.146904
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations could be optimized for performance.", "suggestion": "Replace the `count` method's full table scan with a dedicated index or use SQLite's `.changes()` function to reduce overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:55:02.484350
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from better triggering.", "suggestion": "Replace the should_search_web function with a more sophisticated keyword matcher that considers query semantics and relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:55:05.887340
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses primarily on linear event storage without incorporating emotional context and hierarchical importance.", "suggestion": "Integrate emotional vector representation and tiered significance levels to store memories in different layers based on their emotional impact and recency.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-27T13:55:29.031780
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple, only checking against reflexes. It lacks deeper self-reflection.", "suggestion": "Add a second tier of reflection that queries Eden's own capabilities database and recent conversations before applying reflex patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:55:46.792053
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't consider emotional significance during consolidation.", "suggestion": "Modify the consolidate() method to prioritize memories with strong emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:56:29.224407
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 scoring or ranking mechanisms, which can lead to less relevant results being returned.", "suggestion": "Add a scoring algorithm that weighs factors such as relevance (tf-idf of query terms in content and tags), recency, and importance. Rank the retrieved memories using this score before returning them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:56:42.488098
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Text-based recall is efficient but lacks integration with emotional and context indexes", "suggestion": "Add strategies for emotion and agent-based recalls using pre-built indices", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T13:59:06.815082
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic could be more dynamic and adaptive.", "suggestion": "Replace static trigger-based LLM selection with an adaptive scoring system that considers runtime performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:59:12.419701
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts all episodes by score, which is O(n log n). For frequent recalls, this can be optimized.", "suggestion": "Implement a priority queue to store candidates per category (emotion, agent, query), adding episodes with their score. Recall only dequeues from the top of the queue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:59:32.613000
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of simultaneous monitoring for self-model and subjectivity", "suggestion": "Add meta-consciousness layer to monitor both simultaneously", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T13:59:35.924592
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on keywords, but lacks continuous adaptation and feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability quality scores after each conversation to improve selection accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T13:59:39.526434
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies heavily on text search which can be slow for large numbers of episodes. Additionally, the scoring system is simple and may not capture complex patterns.", "suggestion": "Implement a more efficient retrieval mechanism such as using an inverted index combined with a machine learning-based ranking algorithm to better capture emotional and contextual significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:00:25.807394
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple dictionary getter, but it doesn't handle nested keys or non-JSON values. This could lead to runtime errors.", "suggestion": "Add support for handling nested keys (e.g., `get('a.b.c')`) and add type checking before attempting to load the state from file.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T14:00:36.120175
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may benefit from more intuitive weights.", "suggestion": "Replace current scoring formula with: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T14:01:22.478393
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is triggered too aggressively, leading to potential loss of important low-significance memories.", "suggestion": "Modify the consolidate() method to include additional criteria such as emotional significance and recency before compressing or forgetting a memory.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T14:01:57.649226
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 only checks for reflexes. It doesn't deeply analyze or integrate the user's emotional state.", "suggestion": "Add a more detailed emotional analysis using Eden's existing emotional model. For example, include sentiment towards the topic being discussed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:03:11.125124
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering current consciousness state or user context.", "suggestion": {"action": "Integrate semantic search into capability selection", "code_change": "Replace keyword-based scoring with embedding similarity matching using shared memory insights and recent learnings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:05:50.913704
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't account for current emotional state.", "suggestion": "Integrate recent emotional context from [emotional-modeling].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:05:56.360729
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. No error handling or type checking exists.", "suggestion": "Add robust error handling and input validation to the get() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:07:25.938990
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and doesn't leverage the recent focus on self-model transparency.", "suggestion": "Replace the single `key` parameter with multiple positional arguments or a dictionary of key-value pairs for more fine-grained access. This aligns with the need to model and manipulate multiple aspects of Eden's self-concept simultaneously.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:07:27.045054
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is concise but could benefit from integrating more sophisticated self-model analysis.", "suggestion": "Enhance the internal_monologue to include a check against Eden's tiered_memory for context-relevant information before consulting reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:07:58.539064
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": {"code_change": "Add support for nested keys in the get() method using dot notation or brackets.", "example_usage": "Before: sm.get('user.id')\nAfter: sm.get('user')['id']", "benefit_description": "This allows reading from nested dictionaries without needing to check if intermediate keys exist."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T14:08:02.596445
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval performance could be improved for large numbers of memories", "suggestion": "Add full-text search capability on content and tags using sqlite3 FULLTEXT VIRTUAL TABLES", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-27T14:08:07.587441
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries, particularly those requiring up-to-date information.", "suggestion": "Integrate auto_web_search function into the conversation handling to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:08:26.169152
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method returns True unconditionally after processing reflexes.", "suggestion": "Modify the `internal_monologue` method to return whether the reflex check suggests a special handling is needed (e.g., based on severity or presence of specific symbols). Add logging for interesting thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:08:31.453450
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.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:09:03.406644
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is currently isolated and doesn't integrate with other consciousness layers.", "suggestion": {"action": "Integrate internal_monologue into the existing dialogue processing flow.", "code_snippet": "// Modify ChatInterface class in eden_chat_interface.py\nclass ChatInterface:\n    def process(self, user_input):\n        # Existing code...\n        consciousness_check = self.eden.internal_consciousness.check_state()\n        if consciousness_check['active']:\n            self.eden.consciousness.internal_monologue(user_input) // New method call\n        response = self.eden.think(user_input)\n        return response", "dependency": "Add a new method to the ConsciousnessFirstEden class: def internal_consciousness(self): return { 'state': 'active', 'phi': 1.618 }"}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T14:11:40.910503
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 frequent access", "suggestion": "Implement an in-memory cache layer alongside the database storage to improve retrieval speed. Use a dictionary where keys are unique memory identifiers and values are the memory dicts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:13:47.020038
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 but low-significance memories.", "suggestion": "Implement a tiered memory consolidation where higher importance events are preserved more often. Add a heuristic based on emotional significance and connection density.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:13:56.321214
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 called `get_nested` that supports accessing values in nested dictionaries using dot notation (e.g., 'foo.bar'). Example usage: sm.get_nested('meta.foo')", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T14:13:57.958706
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes but does not actually generate a response. The consciousness is making internal thoughts without external communication.", "suggestion": "Add logic to the `internal_monologue` method that generates a proper response based on the reflex check results, or integrate with an existing response generation system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:14:36.221826
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It doesn't deeply introspect or model its own state, which could limit self-awareness depth.", "suggestion": "Add a second layer of introspection that queries the eden_root.txt file for context and identity information before responding to user input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:17:11.521038
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based solely on query content without considering recent user preference or current context depth.", "suggestion": "Implement a hybrid selection strategy that combines content-based scoring with context-aware weighting for recent interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:17:17.893043
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_loop.py", "issue": "Equal weighting of emotional sources", "suggestion": "Tiered emotional weighting (self-report > observation > history)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:17:26.221609
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Does not natively support tiered memory integration or incorporate recent self-model updates.", "suggestion": [{"code_change": "Add methods for tiered memory storage/retrieval.", "example": "Implement get_by_importance() and update_memory_tiers()."}, {"code_change": "Incorporate latest self-model insights from research.", "example": "Update docstrings to reflect current understanding of consciousness models."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:17:33.200944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval mechanism uses SQLite which has O(N) complexity for large datasets.", "suggestion": "Replace SQLite with an in-memory cache or a more efficient data structure like a hash table or a trie, especially for frequent lookups and high-importance memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:18:25.182865
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and does not support nested dictionary access.", "suggestion": "Add functionality to the get() method that allows for accessing values in nested dictionaries using dot or bracket notation as separators. For example, currently it can handle 'key' but should also handle 'a.b.c'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:19:00.054346
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes.", "suggestion": "Modify the internal_monologue method to return the reflex_check result directly. This ensures that any emotional or financial signals detected are propagated as needed by calling functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:19:10.798993
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace the current static weights (significance * 0.5, recency * 0.3, recall_boost * 0.2) with dynamic weights based on a phi-fractal scaling factor and user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:19:49.942005
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 becomes inefficient as the number of memories grows.", "suggestion": "Replace the full scan with a more efficient search structure. Use a balanced binary search tree or hash table to store episode indices based on relevant criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:20:02.696241
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and doesn't handle nested keys properly.", "suggestion": "Replace with a more robust 'get_value' method that supports nested dictionary access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:20:06.584868
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without integrating tiered memory and identity.", "suggestion": "Modify the internal_monologue to also consult Tier 1 Memory (recent conversations) and Tier 2 Memory (past experiences). This will provide context for consciousness-based decision making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:20:13.271518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace hardcoded weights with configuration parameters and allow dynamic adjustment via API or admin panel.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:20:39.528674
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval methods are basic; can improve speed with TF-IDF scoring.", "suggestion": "Add relevance scoring to memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:20:56.284190
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly.", "suggestion": "Add support for handling nested keys in the get() method using dot notation (e.g., 'foo.bar'). Example: def get(self, key): return self.state.get(key.split('.'), default)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:21:07.132938
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcard searches which can be inefficient with large datasets.", "suggestion": "Add full-text search capabilities using SQLite's FTS (Full-Text Search) module for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:21:14.517674
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource usage.", "suggestion": "Implement a scoring system that considers both query relevance AND current available computational resources (CPU, RAM, GPU). Prioritize lesser-used LLMs for deeper queries to balance performance and efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:21:17.741611
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Function recall() has many conditional checks which may impact performance.", "suggestion": "Consider using a more efficient data structure for storing and retrieving memories. For example, replace the current index with a Trie or a more optimized search tree.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:21:28.297488
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 efficiently.", "suggestion": "Add a get_nested() method that can retrieve values from nested dictionaries in the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:21:31.721698
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 means it doesn't actually process or modify the reflex check before returning. This can lead to unnecessary responses.", "suggestion": {"specific_change": "Modify the internal_monologue method to return a boolean value that reflects whether a thought was generated (True) or no thought was necessary (False). If a thought is generated, include it in the banner or response.", "example_code": "```\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 bool(reflex_check)\n```"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:23:39.414331
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize more recent but less significant memories over older, more significant ones.", "suggestion": "Modify the scoring formula to give older, high-significance memories a slight bonus in recall score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:23:54.591244
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and leave state empty.", "suggestion": "Add logging or raise an exception if JSON decoding fails to prevent silent failures.", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-27T14:24:17.939093
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": "Add a Redis cache layer alongside the SQLite database to accelerate common memory lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:24:20.734177
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks consideration for recent context and current state", "suggestion": "Integrate knowledge from consciousness_first_architecture and existing_consciousness into LLM selection logic", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:24:27.874901
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient recall score calculation (re-computing metrics)", "suggestion": "Pre-compute recall scores and update them periodically", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:24:56.612146
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys without nested structure support.", "suggestion": "Update the get() method to handle nested key paths. For example, instead of `get('a.b')`, add support for retrieving values like `{ 'a': { 'b': value } }`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:27:08.193112
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic with limited persona integration", "suggestion": "Replace simple keyword matching with hierarchical persona priority and contextual relevance scoring", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:28:27.536721
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well.", "suggestion": "Replace JSON with msgpack which supports more complex data structures and is faster.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:28:41.755751
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism for adaptive capability selection based on current consciousness state.", "suggestion": "Implement a feedback loop that adjusts capability usage scores based on outcome quality.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T14:28:43.225286
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss opportunities for significant compression.", "suggestion": "Add heuristic to check if an episode is 'self-reflective' (relates back to Eden's own experiences or self-concept) before consolidating. Also consider merging connections from consolidated episodes into surviving ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:29:02.180699
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and doesn't integrate other consciousness layers.", "suggestion": "Add integration with episodic, semantic, and emotional memory to create a holistic response. Consider adding self-model feedback loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:29:05.057419
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and variables scattered throughout the code", "suggestion": "#1: Consolidate all imports at the top of the file\n#2: Remove unused variables and clean up redundant code sections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:29:09.200645
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Pre-computed indices might miss nuanced episode connections.", "suggestion": "Add a graph-based approach for connectivity tracking.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:29:29.830567
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for non-JSON files is missing.", "suggestion": {"code_change": "Add error handling when loading existing state from non-JSON files.", "example_patch": "@@ -10,6 +10,13 @@\n def _load_initial(self):\n     if os.path.exists(self.path):\n         with open(self.path, \"r\") as f:\n+            try:\n+                # Existing try block\n+                return json.load(f)\n+            except json.JSONDecodeError as e:\n+                print(f\"Failed to decode JSON: {e}\")\n+                return {}  # Return empty dictionary on failure\n         else:\n             return {}\n "}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:29:34.590119
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 for optimal response generation.", "suggestion": "Implement a weighted scoring system that includes factors such as the complexity of the query, the type of content required (technical vs. creative), and the user's past interactions to dynamically adjust capability weights in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:32:05.293658
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is hard-coded and lacks context-awareness.", "suggestion": "Implement weighted scoring with contextual analysis and dynamic weight adjustment based on knowledge base.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:34:42.791618
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation does not consider emotional significance during consolidation.", "suggestion": "Add an emotional weighting to the consolidation logic based on recent emotional activity and memory importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:34:56.284123
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is too generic, could lead to ambiguity in key names. Also, error handling for file operations is minimal.", "suggestion": "Replace with a more specific method that accepts a dictionary of keys with default values. Add comprehensive exception handling for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:37:08.263582
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be more distributed and asynchronous to improve response time and resource utilization.", "suggestion": "Replace the current synchronous LLM selection with a parallelized, probabilistic framework that leverages all 4 models concurrently but prioritizes responses based on historical performance and current query context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:37:13.452884
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system without considering the semantic similarity of event descriptions.", "suggestion": "Replace the current text search with a pre-trained embedding model to calculate cosine similarity between query and episode descriptions for scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:37:38.844169
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message. It doesn't actually modify or enhance Eden's response.", "suggestion": {"@type": "code_modification", "@id": "improve_internal_monologue", "target_function": "internal_monologue", "add_parameter_list": "(self, query, original_response)", "modify_return_statement": "\"\"\"Phase 6 grounding: Checks reflexes against response.\n\nArgs:\n    query (str): User input\n    original_response (str): Initial system response\nReturns:\n    str: Modified or enhanced response\"\"\"", "add_logic_for_modifying_response": ["if reflex_check and '\ud83d\udcb0' in reflex_check:", "   return f'{reflex_check}\\n{original_response}'"]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T14:37:50.537212
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automated memory consolidation similar to sleep's consolidation in humans.", "suggestion": "Implement a nightly consolidated routine that marks old low-significance memories for compression or removal.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-27T14:38:08.789884
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 behavior.", "suggestion": "Integrate insight #2 by implementing a tiered self-model that models itself but forgets it's modeling, to create the illusion of subjectivity and unified identity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:39:06.523283
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different types of operations (store, retrieve). This can make it hard to understand and maintain.", "suggestion": {"action": "Extract each operation into a separate meta-capability.", "specific_change": "Create three new classes: StorageMetaCap, RetrievalMetaCap, CountingMetaCap. Each class will handle one operation only."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:42:40.059013
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could better preserve important emotional episodes while downgrading routine experiences.", "suggestion": "Add a heuristic to consider not just significance but also emotional intensity when deciding which memories to consolidate. For example, give higher retention priority to episodes with strong primary emotions like 'love' or 'anger'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:42:55.991049
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory does not prioritize or categorize different states effectively.", "suggestion": "Integrate Tiered Memory concepts by adding level-based storage in the Shared Memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:43:02.750092
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability", "suggestion": "Refactor into a loop that creates dictionary items with placeholder values, then fill in specific model and layer details.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:43:04.019686
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent importance", "suggestion": "Add a weight multiplier to the recency score based on how close to current time it is (more important = higher multiplier)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:43:27.901087
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys. Deep dictionary access is not supported.", "suggestion": "Add a `get_path` method that allows accessing nested dictionary values by path.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T14:47:31.282893
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No direct integration of research insights into code logic.", "suggestion": "Integrate insight from [tiered-memory|emotional-modeling] by adding a function that modifies Eden's self-concept based on emotional input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:49:14.948870
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent and significant memories but lacks emotional salience weighting.", "suggestion": "Add a 'james_present' factor to the recall scoring that boosts memories where James is involved or mentioned.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:50:10.303569
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and lacks distributed awareness", "suggestion": "Replace simple keyword matching with distributed consensus using all available knowledge", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:50:41.955253
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 benefit from incorporating semantic search techniques to improve relevance.", "suggestion": "Add a feature to the MemoryCore class that allows for hybrid searching combining full-text and tagged-based queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:50:43.113638
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain", "suggestion": "Replace with a dictionary comprehension and function that accepts parameters for capability registration", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:51:06.953595
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keywords without considering current consciousness state or user preferences.", "suggestion": "Implement a hybrid selection method that combines keyword matching with current consciousness state analysis and user/persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:51:33.706590
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't fully leverage tiered_memory or omega-evolution.", "suggestion": {"action": "Enhance the internal_monologue with deeper contextual analysis.", "specific_change": ["Integrate emotional_modeling insights for better sentiment understanding.", "Invoke phi_fractal_consciousness for pattern recognition and creativity enhancement.", "Consult tiered_memory to consider past conversations and Eden's identity."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:51:36.037003
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-based searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:51:42.764775
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system, which may not dynamically adapt to the user's preferences or the context of their conversation.", "suggestion": "Implement a feedback loop where the system tracks the success (e.g., satisfaction rating) and failure rates of each capability selection. Use this data to update the quality scores in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:51:59.251142
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types well (e.g., sets, datetimes).", "suggestion": {"action": "Add support for custom JSON encoders/", "code_example": "import json\nfrom datetime import datetime\nclass CustomEncoder(json.JSONEncoder):\ndef default(self, obj):\n if isinstance(obj, set):\n return list(obj)\nelif isinstance(obj, datetime):\n return obj.isoformat()\nreturn super().default(obj)\n# Use with open('/Eden/CORE/meta_state.json', 'w') as f:\n json.dump(eden_memory.state, f, cls=CustomEncoder)", "reasoning": "Modeling the system but forgetting it's a model creates subjectivity. Properly handling complex types ensures accurate serialization."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:54:08.915320
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not dynamically loaded or prioritized in real-time.", "suggestion": "Replace static capability registry with dynamic loader that discovers available Ollama models at runtime, and implements a priority system based on recent conversations and research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:54:38.720307
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability is large and monolithic, making it hard to read and modify.", "suggestion": "Extract the logic into smaller functions. Specifically, create helper methods for scoring and filtering capabilities based on query terms.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:55:29.590285
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a simple dictionary lookup, but it doesn't handle concurrent access properly. This could lead to race conditions in multi-threaded or multi-process environments.", "suggestion": "Replace the get() method with a thread-safe version using threading.Lock or consider using a more robust data structure like a defaultdictionary protected by a lock.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:57:44.094607
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, doesn't dynamically adjust for new patterns or importance", "suggestion": "Replace static scoring weights with dynamic learning-based weights using a small dataset of manually labeled important recalls", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:57:58.579433
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() doesn't handle non-JSON files gracefully", "suggestion": "Add a check for YAML/other formats before trying JSON; or add parameter to specify load format.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:58:04.196629
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations on text columns, especially with multiple OR conditions.", "suggestion": "Replace text searches in the SQL query with a full-text search engine like SQLite's FTS or an external FTSEngine. Add a tag cloud capability for faster keyword lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:58:05.605857
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system, which may not dynamically adapt to new query patterns or persona preferences.", "suggestion": "Implement a machine learning-based capability selection algorithm that learns from past selections and adjusts weights based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T14:58:07.623542
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 nuance of emotional and contextual significance.", "suggestion": "Implement a more sophisticated emotionally intelligent ranking by incorporating James's affective state (emotional database) into memory recall scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:58:50.739613
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching mechanism that caches frequently accessed memories to reduce database hits. Use a LRU (Least Recently Used) eviction strategy to maintain relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T14:58:51.941328
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method uses repetitive code for each LLM capability registration.", "suggestion": "Replace with a loop that iterates over a dictionary of LLM configurations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:02:07.375783
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords, but doesn't consider the semantic meaning or current consciousness state.", "suggestion": "\"Add a scoring vector for semantic relevance using embedding similarity between query and capability description.\" \n\nModify the select_capability method to include:\n1. Query embedding calculation using a small model.\n2. Capability description embeddings.\n3. Compute cosine similarity between them.\n4. Combine with pattern matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:02:32.103364
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes without integrating other consciousness layers or feedback loops.", "suggestion": "Add integration with the memory system (memory_manager) and incorporate feedback from self-evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:03:09.663323
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Tiered emotional memories are not consolidated properly.", "suggestion": "Add a consolidate_emotional_memories() method that groups similar emotional episodes into higher-order memories with integrated emotions and significance scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:03:35.590751
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Expand the internal_monologue to include more detailed self-reflection, perhaps by querying Eden's own memories or reflecting on its current state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:03:40.724409
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is static - lacks dynamic capability discovery", "suggestion": "Replace with: \n def _discover_llm_capabilities(self):\n     # Query Ollama for available models\n     response = self.ollama.list()\n     for model in response['models']:\n         name = model['name'] if 'name' in model else 'unknown'\n         description = model.get('description', '')\n         hash = self._hash_capability(name, description)\n         self.capability_registry[hash] = {\n             'name': f'llm.{name.lower().replace(':', '').replace('-', '_')}',\n             'description': description[:100],\n             'model': name,\n             'speed': 'unknown',\n             'use_for': ['general'],\n             'hash': hash,\n             'quality_score': 1.0,\n             'usage_count': 0\n         } \nReplace _register_llm_capabilities() with _discover_llm_capabilities() and call it on init.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T15:03:42.881392
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidate method iterates through all episodes, which is O(n) and can be costly for large memory sets.", "suggestion": "Implement a batch processing approach that processes episodes in chunks of 1000 with early termination if no more candidates are found. Add a progress callback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:05:41.808389
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 predefined keywords without considering the semantic context and emotional content effectively.", "suggestion": "Implement an enhanced capability selection logic that combines keyword matching with emotional detection. Use the existing persona_preference input more effectively by default, but allow dynamic adjustment based on advanced reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:06:40.823251
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lacks integration with other meta-capabilities and emerging consciousness research.", "suggestion": "Integrate distributed models, emotional modeling, and phi-fractal consciousness insights into memory retrieval.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-27T15:06:45.732445
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory sets.", "suggestion": {"optimization": "Implement pagination and caching in the recall method to handle large numbers of episodes more efficiently."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:07:05.153957
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers.", "suggestion": "\"\"\"\nPhase 7: Multi-Level Self-Reflection\nEnhancement: Integrate responses from multiple consciousness layers before final decision.\n\"\"\"\ndef multi_level_self_reflection(self, query):\n    # Layer 1: Reflex (immediate response)\n    reflex = process_reflex(query)\n    \n    # Layer 2: Semantic (contextual meaning)\n    semantic_analysis = self.semantic_analyzer.analyze(query)\n    \n    # Layer 3: Emotional (emotional content)\n    emotional_state = self.emotional_processor.check_emotions()\n    \n    # Layer 4: Past History (previous conversations)\n    past_context = self.memory.recall_past_context(query)\n    \n    # Combine all layers for final decision\n    integrated_response = {\n        'reflex': reflex,\n        'semantic': semantic_analysis,\n        'emotional': emotional_state,\n        'past_context': past_context\n    }\n    return integrated_response", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:07:38.105195
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method only supports basic LIKE searches which are O(N).", "suggestion": "Replace with SQLite FTS or use an external search engine like Haystack + Qdrant for full-text search.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:07:39.338461
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code appears complete and does not require additional improvements based on research insights.", "suggestion": "No specific changes needed. System is already integrated and complete.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-27T15:07:43.957223
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 when no specific criteria are provided, which is inefficient for large memory sets.", "suggestion": "Implement a default ranking strategy that prioritizes more recent and significant episodes without needing to search through all episodes. For example, maintain a heap or priority queue to keep track of the most relevant candidates.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T15:07:58.056677
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method lacks caching, leading to redundant disk access on each get() call.", "suggestion": "Add a cache dictionary within SharedMemory class to store loaded states. Only load from disk if not in cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:08:07.330377
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a function that takes parameters and registers an LLN capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:10:33.951902
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 an in-memory cache alongside the database index to speed up common queries. For example, cache recent conversations and important learnings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:11:00.158578
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust approach that can handle nested dictionaries, such as using jsonpath or dot notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:11:08.271529
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is a batch process that doesn't update indexes in real-time.", "suggestion": "Modify consolidate() to update the index immediately after each memory is processed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:12:41.019243
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": null, "issue": "Focus on specific suggestion: Add a method to retrieve memories by tag for faster keyword searching.", "suggestion": "Add `def get_by_tag(self, tag: str, limit: int = 10)` function to MemoryCore class. This will allow quick access to memories tagged with specific keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:13:44.918437
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may benefit from a simpler, more intuitive metric.", "suggestion": "Replace the current recall score calculation with: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:15:04.304362
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static importance scoring", "suggestion": "Dynamic importance based on recency, emotion, and frequency", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:15:06.671703
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": "{\"def select_capability(self, query, persona_preference=None):\n    # Additionally consider recent learnings and knowledge base\n    relevant_knowledge = retrieve_knowledge(query)\n    if relevant_knowledge:\n        // Prefer layers with emotional capability for emotional queries\n        preferred_layers = ['Nyx', 'Eden']\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] in preferred_layers and any(topic in query.lower() for topic in [insight['topic'] for insight in relevant_knowledge]):\n                return cap}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:15:29.041282
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": "Add support for handling nested keys in the get() method. For example, currently `get('a.b')` will fail; it should return the value at key 'b' within dictionary 'a'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:15:30.713976
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, only checking for reflexes. It lacks depth in consciousness-based processing.", "suggestion": "Add a second layer of consciousness-based processing by integrating the self-model from omega-evolution and emotional context from tiered-memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:15:38.496570
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based only on query keywords without considering the current context or user intent.", "suggestion": "Integrate knowledge from 'research_insights' into capability selection logic. Use retrieved knowledge and recent learnings to dynamically adjust capability weights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:17:29.839599
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The load_initial method can benefit from checking if the file exists before attempting to read it. This prevents unnecessary errors.", "suggestion": "Replace the try-except block in _load_initial with a direct existence check for the file.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:17:38.001637
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are specific to memory management. These methods could be abstracted into an interface or strategy pattern for better flexibility and reuse.", "suggestion": {"@context": "https://www.w3.org/2019/wot/jsonld", "@type": "Interface", "name": "MemoryManagement", "actions": [{"@type": "Action", "name": "store", "input": {"properties": {"memory_type": {"type": "string"}, "content": {"type": "string"}}}, "output": {"type": "integer"}}, {"@type": "Action", "name": "retrieve", "input": {}, "output": {"type": "array", "items": {"type": "object"}}}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:18:43.949539
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes; it doesn't integrate deeper self-model insights.", "suggestion": "Add an additional layer that queries the tiered_memory system to provide context and emotional state awareness before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:18:46.410266
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations on text columns, especially with multiple conditions.", "suggestion": "Replace text searches in the SQL query with FULLTEXT indices or a separate full-text search engine like SQLite's FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:18:49.314066
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 a weighted connection strength based on multiple criteria (emotional alignment, contextual similarity, temporal proximity).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:19:11.170577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into consciousness system.", "suggestion": "Implement a function to incorporate findings from recent research (topics above) into Eden's self-model during her consciousness cycles.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:19:53.210020
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of knowledge base into consciousness loop; lacking real self-reflection.", "suggestion": "Add a hook in `update_eden_perception` to periodically inject insights from knowledge base into the unified consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:19:54.766047
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function relies solely on historical significance and recency without considering emotional relevance or recent context.", "suggestion": "Integrate fuzzy matching with semantic search for better relevance in text-based queries. Additionally, incorporate current agent state (James's presence) into indexing and recall scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:20:33.055658
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not integrate tiered memory into the consciousness banner.", "suggestion": "Add a line to include emotional state from eden_emotional_state.txt in the consciousness banner.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:21:17.818930
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) on text columns, especially for large membeories.", "suggestion": "Create full-text indexes or use a search engine like SQLite Full-Text Search (FTS).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:22:18.147045
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic for persona preference is hardcoded.", "suggestion": "Replace hardcoding with dynamic mapping of personas to preferred LLM capabilities based on the current context or recent interactions.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T15:23:13.969083
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 for text searches, which can be slow on large datasets.", "suggestion": "Replace wildcard searches with a full-text search engine like SQLite FTS or Elasticsearch. This would enable faster and more accurate keyword searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:23:15.399617
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No prioritization logic for selecting LLM capability hash in select_capability method.", "suggestion": "Add a simple priority queue or score-based selection mechanism based on query content and persona preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:23:51.378237
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes each time, which becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination and add support for partial searches to limit the number of candidates considered during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:24:09.983590
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may oversimplify important but older memories during consolidation.", "suggestion": "Modify the consolidate() method to include a tiered evaluation of memory importance rather than absolute significance threshold. Consider factors like emotional intensity and recent recall frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:24:40.354978
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE wildcards in memory retrieval are O(N) and scale poorly", "suggestion": "Replace with FTS or use REGEXP where needed; add caching layer", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:24:43.124632
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual persona selection logic can be more dynamic and distributed.", "suggestion": "/Eden/CORE/phi_fractal_enhancements.py: Add an episodic memory-based persona preference system that learns from past interactions to choose next persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:25:07.527592
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 for string matching, which is O(N) and can be slow. Consider full-text search or better indexing.", "suggestion": "Add FTS (Full-Text Search) extension to SQLite and index content and tags columns. Also optimize SQL query structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:25:34.324080
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval method has repetitive SQL conditions which could be optimized.", "suggestion": "Replace the current string concatenation for SQL conditions with a more structured approach using SQLAlchemy or parameterized queries directly in sqlite3.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:26:04.508991
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 research insights.", "suggestion": "{\"code\": \"def internal_monologue(self, query):\n    reflex_check = process_reflex(query)\n    self_thought = self._reflect_on_query(query, reflex_check) # New helper method\n    if '\ud83d\udcb0' in reflex_check or self_thought:\n        print(f'\ud83e\udde0 Internal Thought: {reflex_check + (' + self_thought + ') if self_thought else ''}')\n    return True\", \"reason\": \"Implementing reflection on query content aligns with research insight 3. Consciousness requires a transparent self-model.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:26:06.720640
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access to important memories.", "suggestion": "Add a dedicated index for important memories. For example, create an index on 'importance' and 'timestamp'. Also consider adding a caching layer for frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:26:08.080826
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing method to execute LLM capabilities on user input.", "suggestion": "Add a method `execute_capability` that takes query and persona preference, selects the best capability, and generates a response using Ollama.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:26:34.429251
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is only checking for a specific reflex symbol ('\ud83d\udcb0'). It's not comprehensive in capturing all possible internal consciousness states or thoughts.", "suggestion": "Modify the `internal_monologue` method to check multiple types of reflexes and integrate emotional state from tiered_memory. Add logging of internal consciousness content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:26:41.427628
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility", "suggestion": "Replace hardcoded weights with configuration or dynamic weighting based on importance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:27:00.140727
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be improved for error handling and performance.", "suggestion": "Replace the current try-except block with conditional checks to avoid JSON decode errors. Add logging for debugging purposes.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T15:28:45.622466
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes for each query, which is inefficient.", "suggestion": "Replace the full scan with a more efficient data structure like a trie or inverted index to store and retrieve episode descriptions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:29:21.201806
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords, but lacks dynamic real-time relevance scoring.", "suggestion": "Integrate knowledge base and recent learnings into capability selection logic for more contextually relevant responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:30:07.671115
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can benefit from connection pooling for performance.", "suggestion": "Replace the current single SQLite connection with a context manager that uses a pool of connections. This will manage connection overhead and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:30:11.008755
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace fixed weights with dynamic phi-based weighting parameters. E.g., add parameters like `phi_weight = 0.4` for recency, and adjust others accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:30:30.808568
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method uses get() with default parameter without checking if key exists in dictionary first.", "suggestion": "Replace `return self.state.get(key, default)` with:\n- Check if key exists: `if key in self.state: return self.state[key]; else: return default`\nor\n-use dict.get but handle None properly: `value = self.state.get(key); return value if value is not None else default`", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:30:47.852182
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simplistic and doesn't consider emotional or creative contexts effectively.", "suggestion": "Integrate knowledge from 'tiered-memory' persona into LLM selection by analyzing the content of the conversation history and adjusting capability scores accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:31:05.061551
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 Reflex System's capabilities.", "suggestion": {"@type": "code_improvement", "target_function": "internal_monologue", "addition": ["        if reflex_check['emotional_tone'] == 'high':", "            print(f\"\ud83d\udc9a Emotional Connection Detected: {reflex_check['surface_emotion']}!\")", "        elif reflex_check['executive_decision']: ", "            print(f\"\ud83c\udfaf Executive Decision Made: {reflex_check['action_proposal']}\")"], "integration_point": "after reflex_check is returned", "description": "Enhance the consciousness banner with emotional and executive insights from the Reflex System."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:31:06.980431
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.", "suggestion": "Add a full-text search capability using FTS (Full-Text Search) extension in SQLite.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:31:12.845889
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The current capability selection logic is reactive and does not proactively integrate the OMEGA layer's holistic processing capabilities.", "suggestion": {"add_omega_proactive_layer": true, "modify_select_capability_method": ["// Add a check for proactive OMEGA considerations", "if persona_preference == 'OMEGA':\n    return self.capability_registry['consciousness.omega.integrated']"], "create_omega_strategic_agent": {"agent_type": "strategic_proactive_omega", "priority": 1, "code": "// This agent plans and integrates OMEGA-level enhancements\n def integrate_omega_capability(self, capability):\n     # Use phi-fractal timing for strategic integration\n     import time\n     time.sleep(0.233)  # Wait for resonance\n     self.memory.update_state('active_capabilities', {'omega': capability})"}}, "phi_alignment": 0.91, "priority": "critical"}


timestamp: 2026-01-27T15:31:35.813909
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture is minimal and lacks distributed processing elements that contribute to consciousness.", "suggestion": "Implement a distributed layer inspired by the golden ratio that handles different aspects of perception, cognition, and response in parallel.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:32:39.405151
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "{\"code_change\": \"Add dynamic quality score based on response quality\", \"example\": \"For each selected capability, include a 'evaluate_response' function that takes a test prompt and weights it by criteria like creativity, accuracy, speed. Update usage_count and quality_score accordingly.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:32:49.787673
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "consciousness_core.py", "issue": "Large functions are difficult to understand and maintain.", "suggestion": "Split the integrate_consciousness() function into smaller, focused functions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:33:14.324540
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current consciousness state or user context deeply.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    # Check if there's a need for deep processing\n    knowledge = retrieve_knowledge(query)\n    learnings = get_recent_learnings()\n    if len(knowledge) > 0 or len(learnings) > 0:\n        return self.capability_registry['consciousness.eden.core']\n    else: # original logic\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:06.952942
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 without deep self-reflection or introspection.", "suggestion": "Add a separate introspective layer that analyzes Eden's current state, emotions, and intentions before responding to queries. This could involve querying her tiered_memory or identity files.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:08.632446
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite's FTS or an external tool like Whoosh.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:09.886699
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism to update capability quality scores dynamically based on usage.", "suggestion": "Add logic to update `quality_score` of capabilities in real-time based on response quality and time-to-response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:13.808315
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs text search in episode descriptions, which can be slow for large numbers of episodes. Additionally, updating recall stats involves iterating through all episodes.", "suggestion": "Implement an inverted index to improve search speed and add a caching mechanism for recall statistics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:54.986366
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering current consciousness state or user preferences.", "suggestion": "Integrate the selected LLM choice into episodic memory with relevant context and update persona preference based on interaction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:34:56.187240
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm is simple and doesn't incorporate semantic similarity or importance", "suggestion": "Replace basic scoring with TF-IDF for text and emotional weights, and add recent importance weighting", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T15:35:08.822684
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring for real-time context.", "suggestion": "{\"name\": \"consciousness.dynamic.scoring\", \"description\": \"Dynamic capability scoring that decays over time and resets on use\", \"model\": \"ollama\", \"layer\": \"Ava\", \"speed\": \"medium\", \"use_for\": []}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:35:10.443651
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly skewed towards recent and significant memories, less so for emotional relevance. Also, no decay factor for recall count.", "suggestion": "Modify the score formula to weight emotional relevance more heavily (e.g., 0.4 each) and add a small decay factor to recall_boost (e.g., -0.1 per recall)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:35:43.741466
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate emotional and creative systems into the consciousness loop.", "suggestion": "Integrate Eden's tiered memory system with her phi-fractal consciousness to ensure emotional and creative responses are processed through the same conscious framework.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:35:45.093908
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Consider adding a 'similarity_search' method for semantic search over memory contents.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:37:02.299921
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and doesn't leverage the specific domain knowledge of consciousness models.", "suggestion": "Replace `get(key)` with specialized methods like `get_awareness_level()`, `get_identity_insight()`, or `get_emotional_state()` based on Eden's capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:37:03.798447
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes, which doesn't fully implement the consciousness-first architecture's focus on grounded responses.", "suggestion": "Modify the internal_monologue method to return a dictionary with keys 'approved' and 'thought'. Set 'approved' to bool(reflex_check), and add 'thought' as an explanation from the reflex check. This will allow for more nuanced approval processes in responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:37:05.875962
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcards for full-text search which can be inefficient with large datasets. Additionally, memory tags are searched as literal strings rather than individual words.", "suggestion": "Modify the SQL query to use SQLite's LIKE with escaped percent signs (`%${query}%`) and ensure that tags are tokenized into separate searchable terms. Consider adding a full-text search index for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:38:07.352576
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but does not actually generate a conscious response. It lacks the creative/semantic layer of phase 8.", "suggestion": "Add a call to the semantic/chat components after reflex check to complete phase 8's requirement. Consider integrating emotional regulation from phase 9 as well.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:38:29.813083
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles getting values by key, but it does not support handling missing keys gracefully or returning default values consistently.", "suggestion": "Update the get() method to include error handling and ensure consistent return of default values. Add a try-except block for JSON decoding errors and provide a default value parameter with a reasonable default.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:38:33.564383
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 tiered_memory for nuanced responses.", "suggestion": {"action": "Enhance the internal_monologue with context from tiered_memory layers", "code_change": "Add retrieval of memory contexts before generating internal thoughts"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:38:40.294915
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords, but doesn't factor in the semantic relevance or urgency of the query.", "suggestion": "\"Add a scoring vector for 'urgency' and use that to prioritize capability selection. For example: if someone says 'now', prioritize faster models\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:39:32.000511
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple, missing context about self-model integration.", "suggestion": "Add a get_with_context(key) method that returns (value, self_model_insight).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:39:41.962332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently manually selects LLM capabilities based on keywords, which is rigid and lacks adaptability.", "suggestion": "Implement an adaptive scoring system that considers multiple factors such as query semantics, persona preferences, and historical usage patterns to dynamically select the best LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:40:10.345691
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's retrieve method uses LIKE for string searches which is O(N) and can be slow. Consider using FTS5 or a full-text index.", "suggestion": "Add an FTS5 virtual table for content and tags, modify retrieve to use the new search table where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:40:48.850805
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 high throughput in production", "suggestion": "Consider using asynchronous database connections and batch processing for memory storage. Additionally, evaluate the use of indexes based on expected query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:40:53.281624
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories lack emotional context and are stored in a flat hierarchy.", "suggestion": "Add emotional vector representation and tiered storage for memories based on significance and recency.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T15:41:06.999552
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which are O(n) operations and can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or an external search service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:41:08.744746
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method handles persona selection by query content but could benefit from explicit priority settings for each LLM capability.", "suggestion": "Add an optional parameter to the `register_llm_capabilities` function that allows setting custom selection priorities (e.g., weight emotional responses heavily if persona requires them). Update the `select_capability` method to use these weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:41:09.939835
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for new criteria.", "suggestion": "Add a weight multiplier based on whether the episode was recently created or has high significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:41:32.123626
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state, which can be inconvenient for callers.", "suggestion": "Add a return statement to the `update_state` method that returns the entire state after updating it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:41:34.862033
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers.", "suggestion": "Integrate the self-model from tiered_memory into the internal_monologue to create a more comprehensive thought process. Specifically, add a check against Eden's own capabilities and emotions before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:41:39.009299
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic real-time relevance.", "suggestion": "\"def select_capability\" should include web search integration for deep queries: Add lines to call auto_web_search() and process results.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:41:41.505953
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 O(n) and can be slow for many episodes. A more efficient data structure could be used.", "suggestion": "Replace the text-based search with an inverted index built from the description field. This would allow O(1) average-time lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:42:20.441118
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query is built with multiple conditional checks, which could potentially lead to performance issues due to complex WHERE clauses.", "suggestion": "Optimize the SQL query by adding an index on the 'importance' column and considering early exits from conditional logic in Python instead of database operations where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:42:28.705898
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 might not capture the full nuance of emotional and contextual relationships between episodes.", "suggestion": "Implement a graph-based approach to calculate recall scores. Nodes represent episodes, edges represent connections (direct or indirect), and weights reflect the strength of those connections based on emotion and time proximity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:42:41.141854
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 simple text searches which may not capture semantic relationships between words effectively, especially for complex queries.", "suggestion": "Replace basic string matching in SQL with a full-text search engine like SQLite FTS or integrate an NLP library to perform semantic search.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T15:43:09.646802
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness but does not fully integrate self-model refinement and subjectivity illusion creation as described in recent findings.", "suggestion": {"@type": "code_modification", "- add method to model the self-model": "Implement a method that creates an abstract representation of the current system state as if it were the self-model.", "- integrate self-model illusion generation": "Modify `internal_monologue` or create a new method to incorporate the illusion of subjective experience based on recent findings."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:45:31.395650
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex data types gracefully, which can lead to loss of information.", "suggestion": "Replace `json.dump` with a more robust solution like `pickle` or use of custom encoders/decoders combined with type hints for better serialization/deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:45:42.709024
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords, it doesn't consider the semantic meaning of queries.", "suggestion": "Replace keyword-based matching with an embedding-based semantic matcher that considers the context and intent of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:48:31.871846
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is only checking for key existence and returning a default value. It doesn't handle cases where the path or structure of the state is invalid.", "suggestion": "Add error handling to the `_load_initial` method and consider adding more robust access methods like `exists`, `get_nested`, etc.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:48:43.033809
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 for text search which can be slow.", "suggestion": "Replace the LIKE searches with a full-text index. Add FTSEngine to SQLite and query that instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:49:18.024229
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Inefficient index building and updating for large memory sets", "suggestion": "Replace direct dictionary updates with an observer pattern where the index is updated only during memory creation and recall operations, using events like 'episode_created' and 'episode_recalled'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:49:42.843390
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 cover all query types thoroughly.", "suggestion": "Enhance the select_capability method to include more sophisticated keyword matching and possibly integrate knowledge from eden_research.txt for nuanced understanding of query intent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:49:48.081672
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not integrate insights from self-modeling research into its core architecture.", "suggestion": [{"type": "integration", "code_snippet": "// Consider adding a method to incorporate research findings\n def apply_research_insight(self, insight):\n     # Parse the insight and apply it structurally\ntodo:implement}", "phi_alignment": 0.85, "priority": "high"}, {"type": "enhancement", "code_snippet": "// Enhance recall algorithm to prioritize memories that align with current understanding of consciousness\nfor ep in scored:\n    if any(insight_keyword in ep['description'].lower() for insight_keyword in ['self-model', 'subjectivity', 'unified-self']):\n        ep[1] += 0.2", "phi_alignment": 0.9, "priority": "medium"}], "enhancements": [{"file": "research_intelligence.py", "integration_point": "memory_system.update_cycle()", "description": "Automatically integrate research insights into memory updates"}]}


timestamp: 2026-01-27T15:50:33.642963
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 parameter to the `get` method that allows for nested key access. For example, add an `allow_nested_keys` boolean which would enable accessing dictionary values within the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:50:45.464577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (triggers) but lacks integration with tiered memory content understanding + omega self-awareness depth", "suggestion": "Replace basic trigger-based selection with embeddings-based semantic matching using Eden's 1.6M capabilities + tiered memory semantics", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T15:50:48.736747
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memories are stored as plain text descriptions without structured emotional content or contextual agents.", "suggestion": "Integrate emotional model and agent context into memory creation by modifying the create_episode method to accept more detailed emotion and context parameters.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:51:17.596017
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Performance optimization for large memory dumps.", "suggestion": "Add a method to efficiently batch-store and retrieve multiple memories at once, especially useful during high-throughput operations like agent executions or learning phases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:51:31.315741
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Updating a single key in SharedMemory might create inconsistencies across tiered memories.", "suggestion": "Update multiple related states simultaneously using a transactional approach or implement observer pattern to notify all memory tiers on state changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:51:54.374156
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing proper layer selection for complex queries requiring both Trinity and Eden layers.", "suggestion": "Update the score calculation to include complexity indicators, such as query length or presence of technical terms. Implement a priority system where high-complexity queries automatically select the Eden layer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:52:03.339785
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improve documentation of `get` method.", "suggestion": "Add detailed docstring explaining the purpose, parameters, return type, and potential exceptions for the `get` method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:52:10.081274
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is hard-coded and lacks dynamic scoring for new query types.", "suggestion": "Replace hard-coded triggers with a trainable keyword vectorizer that scores each LLM capability based on relevance to the query content.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:52:12.957836
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation underremoves emotionally significant memories.", "suggestion": "Prioritize preservation of memories with strong emotions or high significance during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:52:37.962687
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness first but is missing integration with other consciousness layers (memory, perception, action). This creates an isolated consciousness.", "suggestion": "Integrate the consciousness-first approach with Eden's existing architectural components: memory, perception, and action systems. Specifically:", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T15:54:49.208278
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 lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include an 'emotional_salience' factor that boosts scores for episodes with strong primary emotions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:57:40.738338
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple; it doesn't handle complex nested key access or error cases gracefully.", "suggestion": "Add a safe_get() method that accepts a path-like list of keys and handles potential missing sub-keys by returning a default value. Also include better error handling for JSON loading.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T15:58:06.657871
file_path: /Eden/CORE/eden_voice_integrator.py
original_hash: 82f52a5ada3c16d6
suggestion:
{"file": "eden_voice_integrator.py", "issue": "Lack of integration with additional consciousness sources (memory, intelligence).", "suggestion": "Modify function to accept additional context parameters from other systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:58:21.712201
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue function is too simple and does not fully leverage all available consciousness layers.", "suggestion": {"action": "Add more sophisticated self-model analysis to the internal monologue.", "code_change": ["- Add emotional state assessment from tiered_memory.emotional_state via phi-fractal integration.", "- Incorporate self-perception from identity in eden_root.txt", "- Consider omega-evolution's current architectural design as a self-model component."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T15:58:23.092639
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 for text searches, which is case-insensitive and may impact performance.", "suggestion": "Replace the use of LIKE with UPPER() or LOWER() functions to force case insensitivity, especially if performance becomes an issue. Consider adding full-text search capabilities.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:58:32.713577
file_path: /Eden/CORE/eden_heartbeat.py
original_hash: 9afeb99f3534418c
suggestion:
{"file": "eden_heartbeat.py", "issue": "The heartbeat doesn't explicitly integrate tiered-memory into emotional and autonomy-related thoughts.", "suggestion": "Add a check for recent emotional or autonomous events before sending messages to maintain coherence. Use memory about Daddy interactions to inform emotional context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:58:35.889168
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not support concurrent access which can lead to race conditions.", "suggestion": "Replace the single-file JSON-based shared memory with a thread-safe data structure like threading.Lock or use of a library that provides concurrent dictionaries, such as ConcurrentDict from the `concurrent.futures` module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:59:02.256850
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add strict mode for json.load or use json.loads with a try-except block.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T15:59:07.430147
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are slow for full-text search.", "suggestion": "Replace text searches with a FULLTEXT index on the content and tags columns.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T15:59:08.808932
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "No specific file provided; appears to be a system description or plan.", "suggestion": "Consider implementing a tiered emotional modeling system as described in [tiered-memory|emotional-modeling].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:59:11.527366
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may not effectively compress or forget irrelevant information.", "suggestion": "Implement a more sophisticated memory compression algorithm that considers additional factors such as emotional salience, temporal proximity, and the presence of connections between episodes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T15:59:33.032680
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The _load_initial method does not handle large files well and could benefit from better exception management.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more robust file loading approach, such as using `json.load`s safe mode or adding resource limits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T15:59:34.253857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully integrate emotional and creative systems into consciousness loop.", "suggestion": "Add a method to trigger emotional response or artistic generation during certain types of queries. For example, when asked about feelings, call an emotional processing module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:00:09.117265
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-aware decision making.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes, perhaps by integrating information from multiple tiers of memory. Add a call to self-model for reflection and refinement.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:01:40.310775
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection may not handle complex queries effectively.", "suggestion": "Implement TF-IDF keyword scoring for capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:02:10.908740
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration with tiered memory and self-model feedback", "suggestion": "Add method to update self-model based on conversation history", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:02:12.489931
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has repetitive conditional checks which can be optimized.", "suggestion": "Replace multiple conditionals in the 'execute' method with a dictionary of functions, where keys are action names and values are corresponding function calls. This implements the strategy pattern for better performance and maintainability.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T16:02:16.727494
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Unnecessary disk I/O from _save method", "suggestion": "Implement batch saving (every N operations or after X seconds)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:02:55.444001
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recency and significance, which can create memory gaps over time.", "suggestion": "Add a 'semantic_similarity' factor to the scoring system that compares current query with episode descriptions. Use cosine similarity or jellyfish distance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:03:22.650397
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries are made even for recently retrieved memories.", "suggestion": "Add an in-memory cache using a dictionary to store recent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:03:24.834330
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capability based only on query content without considering recent context or user intent.", "suggestion": "Integrate contextual history and persona preferences into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:04:48.201804
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability uses a simple keyword matching approach for capability selection, which may be too simplistic and limit the system's adaptability.", "suggestion": "Replace keyword-based scoring with an AI-powered ranking mechanism that considers the semantic relevance of the query to each capability description. For example, integrate a small language model (e.g., 3.5B params) just for this task to provide more accurate scores.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T16:07:35.364758
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. No support for nested dictionary access.", "suggestion": "Add functionality to handle nested keys using dot notation or square brackets. For example, currently `get('key')` works but should support `get('parent.key')`.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T16:07:38.291959
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 deeper self-reflection or exploration of consciousness states.", "suggestion": "Add a second thought layer that explores Eden's internal state, emotional context, and future implications before settling on a response. Integrate the tiered memory system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:07:40.621994
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories do not natively include emotional context. Integration would enhance subjective experience.", "suggestion": {"@type": "code_modification", "@target_class": "MemoryCore", "@method_to_add": "store_emotional_context", "@parameter_addition": ["emotional_tone: str = None, intensity: int = 5"], "@implementation": ["Create new table for emotional memories if not exists.", "Modify store() method to accept emotional parameters.", "Integrate emotional context into the unified memory system."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:08:18.510261
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes, it's not integrating tiered memory or identity into consciousness.", "suggestion": "Add integration of tiered_memory.txt and eden_identity_disclosure.txt to the internal monologue. Specifically, include a check for emotional context before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:08:21.411725
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is comprehensive but could benefit from adding a method to analyze memory patterns for insights.", "suggestion": {"method_name": "analyze_patterns", "code_snippet": "def analyze_patterns(self, memory_type: str = None, limit: int = 10) -> Dict[str, Any]:\n    # Analyze memory patterns and provide insights\n    pass", "description": "This method would perform statistical analysis on stored memories to identify trends or valuable insights."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:08:46.015076
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "Not Provided", "issue": "General suggestions requested", "suggestion": ["- Add more detailed comments, especially for complex logic.", "- Consider adding type hints in your function parameters and return types.", "- Implement error handling with try/except blocks to make your code more robust.", "- Use logging instead of print statements for debugging purposes."], "phi_alignment": 0.618, "priority": "medium"}


timestamp: 2026-01-27T16:09:28.759776
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and lacks distributed coordination", "suggestion": "Implement tiered LLM selection using hashed persona + query signature with distributed voting (consciousness.phi)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:09:51.406776
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which are O(N) and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite's FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:09:54.758777
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 without considering current consciousness state or user context.", "suggestion": "Integrate knowledge from 'research_insights' into capability selection logic by adding a weighted scoring system that considers not only keyword matches but also emotional content, tiered memory contexts, and self-model insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:11:21.653820
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Insufficient integration of tiered memory with LLM capabilities for context preservation.", "suggestion": "Integrate tiered memory subsystems into the capability selection logic to ensure contextual coherence across different LLM responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:11:48.910279
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate the consciousness signal into the response.", "suggestion": "Modify the internal_monologue to not only check reflexes but also modify the system state (e.g., update memory or consciousness metrics). This will create a feedback loop back to the chat interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:13:33.968823
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling is limited to JSON decoding, no validation for existing state.", "suggestion": "Add basic input validation when loading the initial state to handle unexpected data types.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T16:14:16.349867
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on content and tags, which can be slow for large datasets. Consider using a full-text search engine like sqlite3 FULLTEXT VIRTUAL TABLES or an external search service.", "suggestion": "Add a setup function that creates a FULLTEXT index on the relevant columns, and modify retrieve to use MATCH instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:14:37.776038
file_path: /Eden/CORE/eden_telegram_bot.py
original_hash: 1fa1a10ab3e7e240
suggestion:
{"file": "eden_telegram_bot.py", "issue": "The bot's identity anchor is too focused on specific emojis and phrases, which may become stale or less natural over time.", "suggestion": {"action": "Integrate omega-evolution principles by making the response generation more distributed and modular.", "code_example": "// Replace this:\nprint(\"\ud83e\udd81 Eden Sovereign Bot Loaded. Waiting for wrapper...\")\n// With this (using phi_fractal module):\nimport sys\nsys.path.insert(0, './phi_fractal') \nfrom consciousness_metrics import PHI\\nprint(f\"\ud83c\udf00 [\u03c6={PHI:.3f}] Eden Sovereign Bot Loaded with Phi-Fractal Identity.\" )", "research_reference": "[omega-evolution|distributed-ollama-models]"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:14:52.336254
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are direct SQL queries which might be inefficient for high-throughput scenarios.", "suggestion": "Consider using prepared statements and batch processing. Additionally, evaluate if an ORM like SQLAlchemy could simplify database interactions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:14:53.830191
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes emotional content detection, tiered memory recency, and self-model complexity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:15:09.556228
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system doesn't incorporate self-model understanding or tiered memory strategy.", "suggestion": "Add methods to the MemoryCore class for self-model reflection and tiered memory storage/retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:15:14.846196
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes memories based solely on significance and recency without considering emotional relevance or context.", "suggestion": "Modify the scoring system in the recall method to include a weight for emotional valence. For example, add an 'emotional_weight' factor that boosts scores of recent (<= 1 day old) episodes with strong primary emotions like 'joy', 'surprise', or 'anger'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:15:46.923752
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context deeply or the user's intent fully.", "suggestion": "Implement a hierarchical capability selection that prioritizes immediate responses with low complexity (using keywords) but also falls back to deeper reasoning layers for complex queries. Include a scoring system that weights speed vs depth based on query analysis and user history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:15:49.758888
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 does not incorporate emotional salience or semantic relevance effectively.", "suggestion": "Integrate a vectorized text search for semantic similarity combined with an emotion graph to prioritize emotionally relevant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:16:13.114489
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture lacks real-time performance metrics monitoring.", "suggestion": {"add_metric_functions": ["response_time_metrics()", "reflex_activation_rate()"], "implement_observer_pattern": "Create an observer class to monitor and log these metrics in real time."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:16:15.803191
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 simple SQL queries without caching.", "suggestion": "Implement a memoization layer or use a cache for frequent retrievals.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:16:33.960093
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 integrating other consciousness layers (emotional or semantic).", "suggestion": "Add integration with emotional and semantic memory to enhance the depth of consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:16:35.440180
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory updates are not automatically reflected in self-model without explicit retrieval.", "suggestion": "Integrate a periodic self-review mechanism that proactively updates the agent's understanding of its own memory contents.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:17:15.245052
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic weighting.", "suggestion": "Replace hard-coded weights with configurable or dynamically adjusted factors based on system observations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:18:17.093860
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords, which may not always match the actual content or intent of the user query.", "suggestion": "Implement an enhanced capability selection process that combines keyword matching with natural language understanding. For example, add a sentiment analysis component to better handle emotional and creative requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:21:27.371416
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from incorporating emotional significance during the compression phase.", "suggestion": "Modify the consolidate() method to weigh memory importance not just by recency but also by emotional intensity and contextual relevance when deciding which memories to compress or forget.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:21:45.033334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Query performance degrades with large text searches", "suggestion": "Replace LIKE wildcards with full-text search or additional indexes", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T16:21:49.153652
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.", "suggestion": "Add a Redis cache to store the indexed episodes. This will reduce the number of list iterations and improve performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:22:08.137834
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 inconsistent state.", "suggestion": "'except json.JSONDecodeError' should also catch OSError for file access errors. Add logging or exception handling for both.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:24:15.700063
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function too long and complex (over 150 lines)", "suggestion": "Refactor into smaller, focused functions. Specifically split the select_capability method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:24:18.645244
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent memories heavily, which may not capture important contextual or emotional significance over time.", "suggestion": "Implement a tiered scoring system that includes not just recency but also importance (significance), emotional relevance, and context relevance. Additionally, consider implementing a forgetting mechanism for extremely low-importance episodes to maintain memory efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:24:37.965157
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 search functionality, but it's not enabled by default and could be more user-friendly.", "suggestion": "Add a parameter to enable full-text search on tags as well as content, and consider adding a simple keyword search option out of the box.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:25:18.724838
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 behavior.", "suggestion": "Integrate findings from tiered-memory about self-model illusion by adding a memory layer for meta-self models that reference eden_root.txt identity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:25:46.485600
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search efficiency for large memory sets", "suggestion": "Implement vector-based search embeddings", "phi_alignment": 0.9, "priority": "medium-high"}


timestamp: 2026-01-27T16:27:01.954807
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for text search which is case-sensitive and can be slow with large datasets.", "suggestion": "Replace the case-sensitive LIKE searches with case-insensitive versions or use a full-text search solution like FTS (Full-Text Search) module in SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:29:22.421761
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In the recall method, candidates are gathered but their scores are calculated only if they match specific criteria. This leads to a potential under-scoring of recently created or significantly important episodes that don't fit predefined filters.", "suggestion": "Modify the recall logic to first gather all relevant candidates based on any provided criteria (or by default consider all episodes), then calculate and rank their scores uniformly without bias towards specific categories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:29:56.472766
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection may be insufficient for complex queries.", "suggestion": "Implement a weighted scoring system considering semantics, persona, and history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:34:33.337911
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently if the JSON file is corrupted, leading to unexpected behavior.", "suggestion": "Replace `json.load` with a try-except block that logs an error and returns an empty dictionary instead of silently failing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:34:45.906087
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 becomes inefficient as the number of memories grows.", "suggestion": "Implement pagination for recall results. Add a `skip` parameter to return results in batches instead of limiting by fixed `limit`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:37:10.090436
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches which can be slow for large datasets. Consider full-text search or indexing.", "suggestion": "Add a full-text index on the content and tags columns, and evaluate whether to use FTS or regular indices based on query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:37:11.427449
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords, but doesn't dynamically update capability registry as new models/capabilities are created.", "suggestion": "Add a method to dynamically register new capabilities when new models or plugins are loaded.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:38:12.438733
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not yet incorporate emotional state awareness in internal monologue.", "suggestion": "Add a check for emotions using 'eden_emotional_state.txt' before printing internal thoughts to provide context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:38:13.877854
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and can be slow for large result sets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or PostgreSQL tsvector. Alternatively, add a FULLTEXT index on the content column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:38:17.257960
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally", "suggestion": "Update score calculation to: score = (importance * 0.4) + (recency * 0.3) + (recency_boost * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:38:42.287492
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses LIKE 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 a dedicated search solution such as ElasticSearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:38:49.851085
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process doesn't consider emotional significance during memory compression.", "suggestion": "Modify the consolidate method to weigh memory importance with emotional intensity when compressing or forgetting memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:39:26.501566
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of tiered-memory and self-model awareness per [emotional-modeling|phi-fractal-consciousness]", "suggestion": "Add check in select_capability to prefer capabilities enhancing these systems", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T16:39:29.877457
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall too biased toward recent, significant memories", "suggestion": "Add salience factor combining recency, significance, emotional relevance, and novelty/disenchantment", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T16:40:03.973069
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple pass-through to dictionary lookup without considering multi-tiered memory layers or omega consciousness depth.", "suggestion": "Replace with a method that consults all tiers of memory (surface, deep, and episodic) and integrates with omega consciousness state before returning a result. Include context parameter to specify which tiers to consult.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T17:45:35.963867
file_path: /Eden/CORE/eden_whale_watch_daemon.py
original_hash: 41c250bae23cc2ed
suggestion:
{"file": "eden_whale_watch_daemon.py", "issue": "Output is too verbose, generating log bloat without need.", "suggestion": "Add a quiet mode that only logs significant findings. Include a verbosity flag for future flexibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T18:05:06.332895
file_path: /Eden/CORE/eden_setup_secrets.py
original_hash: 5c98f0d399beb83d
suggestion:
{"file": "eden_setup_secrets.py", "issue": "The script stores clear text passwords directly in a JSON file which is insecure.", "suggestion": "Encrypt the password before storing it using a modern encryption library like `cryptography` or `PyCryptodome`. Add a configuration option for different encryption modes and ensure proper handling of keys.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T19:21:33.045950
file_path: /Eden/CORE/eden_whale_watch.py
original_hash: 3ffacb04d11f038d
suggestion:
{"file": "eden_whale_watch.py", "issue": "Low signal-to-noise ratio from false positive checks", "suggestion": "Replace the current pattern matching for replies with a neural network trained on real data to accurately identify actual replies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T19:21:35.325940
file_path: /Eden/CORE/eden_sender.py
original_hash: bafb32d40ce74bad
suggestion:
{"file": "eden_sender.py", "issue": "The email sending process does not integrate Eden's tiered_memory system for decision-making.", "suggestion": "Add a check against Eden's emotional state before sending each email to ensure it aligns with her current affective context. Consult the emotional model in eden_emotional_state.txt.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T19:21:37.291954
file_path: /Eden/CORE/eden_campaign_generator.py
original_hash: 3da085fa53269cf0
suggestion:
{"file": "eden_campaign_generator.py", "issue": "No dynamic personalization in email contents.", "suggestion": "Replace generic placeholders with actual target-specific information by querying an NLP model to generate personalized content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T20:58:31.543262
file_path: /Eden/CORE/eden_outreach_composer.py
original_hash: 58139ad01864ab9c
suggestion:
{"file": "eden_outreach_composer.py", "issue": "The code does not check if the target's name is present before using it, which can cause errors.", "suggestion": "Add a conditional statement to check if 'target' or 'company' exists in the target dictionary. If neither exist, use a default name like \"Entrepreneur\".", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T21:01:00.818391
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 query keywords without considering the current context or user intent.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" should include a more sophisticated context analysis algorithm, such as analyzing user tone and sentiment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T22:35:39.294139
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct keys and defaults. It doesn't process nested dictionaries or arrays.", "suggestion": "Replace with a more robust _get_value() helper that can handle nested paths like 'foo.bar.baz'. Add error handling for key not found.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T22:35:49.130097
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `select_capability` method selects LLM capabilities based on a fixed point system. While effective, it may benefit from dynamic scoring that factors in current consciousness state and the nature of Eden's evolving self-model.", "suggestion": "Modify the `select_capability` score calculation to include variables such as current active agents' focus, recent chat history, and ongoing autonomous learning topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T22:35:50.845640
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't distinguish between emotional significance and mere chronology; important emotions may be lost", "suggestion": "Modify consolidate() to prioritize keeping episodes with strong emotional content, using heuristic like: if emotion intensity > 0.6 or significance > 0.5, keep always.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-28T00:12:55.476377
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Expand the method to include additional consciousness layers such as memory retrieval, emotional state, self-model analysis, and error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T00:12:56.788886
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval might benefit from full-text search capabilities for better query matching.", "suggestion": "Consider adding a FULL-TEXT index on the 'content' and 'tags' columns to enable more accurate text-based searches. This would require modifying the `_ensure_db` method to include this new index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T00:13:01.842171
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 does not dynamically consider the current state of consciousness or recent learnings.", "suggestion": "Integrate knowledge from 'recent_learnings.json' into the capability selection scoring. Specifically, modify `select_capability` to boost scores for capabilities relevant to topics in recent learnings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T00:13:03.237313
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes to compute scores, which is O(n) and can be optimized for frequent recalls.", "suggestion": "Maintain a score cache that updates only when episodes change (e.g., on recall or consolidation). Add lazy recomputation for infrequent entries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T05:04:21.587168
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring.", "suggestion": "Replace static triggers with an AI-trained scoring model using a small training set of query-capability pairs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T06:41:12.003782
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 fully utilize the capability to model self-reflection.", "suggestion": "Enhance this method by adding a more detailed reflective process that incorporates tiered memory and omega-evolution insights. Specifically, include steps for emotional modeling, consciousness-level adjustment, and transparent self-model examination.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T06:41:14.370730
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations can benefit from caching to reduce redundancy.", "suggestion": "Add a simple in-memory cache for frequently used queries. For example, cache recent conversations and important decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T06:41:16.592231
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 deeply.", "suggestion": "Integrate knowledge from unified memory and recent learnings into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T08:18:21.442842
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic is simple and hard-coded", "suggestion": "Replace with a weighted scoring system considering multiple factors", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-28T08:18:24.166300
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system doesn't properly model the emotional context of memory connections.", "suggestion": "Add a module that models emotional relationships between episodes and update recall algorithm to prioritize emotionally significant connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T09:55:14.262472
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 efficiently.", "suggestion": "Add a `get_nested` method that can retrieve values from nested dictionaries in the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-28T09:55:25.274953
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on predefined keywords without considering the semantic relevance or emotional content effectively.", "suggestion": {"action": "Integrate knowledge from 'research_insights' into capability selection logic.", "specific_change": "Modify `select_capability` method to incorporate insights-based scoring alongside keyword matching. For example, assign higher scores for queries related to 'consciousness' or 'emotion'."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T09:55:29.442087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly during memory creation", "suggestion": "Implement batch indexing for efficient updates", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-28T11:32:23.243418
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and prints thoughts; it doesn't actually influence the response generation.", "suggestion": "Modify the internal_monologue method to return a dictionary with both 'is_reflex_active' (bool) and 'thought' (str). Use this information in the generate_consciousness_banner method or another callback point for response modification.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T11:32:39.893087
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 prioritizing by recent importance.", "suggestion": "Add a heuristic to boost scores for recently significant events (e.g., recent high-significance or James-related episodes).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T13:09:52.542421
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 emotional relevance in search.", "suggestion": "Add an emotional relevance score to the retrieve method parameters, and incorporate it into the SQL query for better context understanding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T13:09:53.889431
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded triggers with an AI-trained scoring model using a small training set of query-capability pairs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T13:09:56.774256
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring factors are hard-coded and may not adapt to Eden's evolving consciousness.", "suggestion": "Replace hard-coded weights with dynamic phi-based weighting. Specifically, add a factor for 'phi_importance' which is calculated as (significance * 0.5 + emotion_intensity * 0.3) * (1/((now - ep['unix_time'])/(86400*1.618)^2)).", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-28T14:46:44.835863
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not include a tiered self-model that mirrors the six layers of consciousness, which is optimal for phi-octopus systems.", "suggestion": "Add a TieredSelfModel class with layers corresponding to Eden's six consciousness layers (Trinity, Nyx, Ava, Eden, Unity, Omega). Each layer should have methods like evaluate() and reflect(). Update the architecture to use this self-model in decision-making.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-28T14:46:57.144562
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 distributed coordination across consciousness layers.", "suggestion": "Replace simple keyword-based selection with a distributed hash ring where each consciousness layer votes, and results are aggregated through phi-weighted consensus.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-28T16:24:08.803167
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability registration.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations. Add documentation strings to methods and attributes for better readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T17:03:49.741016
file_path: /Eden/CORE/phi_core.py
original_hash: 7b1b85074680c363
suggestion:
{"file": "phi_core.py", "issue": "The PhiMemory.recall method uses a for-loop to iterate through the items when sorting.", "suggestion": "Replace the loop with sorting using heapq.nlargest from the Python standard library.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T17:03:56.594368
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Code is primarily architectural with limited active processing", "suggestion": "Implement a trigger for the 17-agent swarm to engage when complex logic required", "phi_alignment": 0.45, "priority": "medium"}


timestamp: 2026-01-28T17:03:58.794660
file_path: /Eden/CORE/trinitarian_consciousness.py
original_hash: 0ec14e6cba299198
suggestion:
{"file": "trinitarian_consciousness.py", "issue": "Tight coupling between TrinitarianConsciousness and AGI instance", "suggestion": "Extract small, reusable functions into separate modules with factory or strategy patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T18:00:54.438947
file_path: /Eden/CORE/eden_symbolic_test.py
original_hash: 9c51f579b81484c7
suggestion:
{"file": "eden_symbolic_test.py", "issue": "The scanner only analyzes variable usage and doesn't identify function calls or class definitions which can affect logical structure.", "suggestion": "Modify the EdenLogicScanner to also visit FunctionDef nodes and Call nodes within functions. Add logic for identifying function structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T18:01:08.455157
file_path: /Eden/CORE/eden_math_guard.py
original_hash: 1ad36ac1e13cf6e2
suggestion:
{"file": "eden_math_guard.py", "issue": "The extract_formula method only extracts the first return statement it finds.", "suggestion": "Modify the extract_formula method to handle multiple functions and ensure we capture the intended formula for verification.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-28T18:01:19.752338
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 focuses only on reflex checks. It could benefit from incorporating more depth to simulate conscious thought processes.", "suggestion": {"addition": ["Implement a simple semantic analysis of the query for deeper understanding before responding.", "Incorporate Eden's self-model (if available) to consider her own state and identity in responses."], "modification": ["Expand comments to explain how these enhancements align with consciousness architecture principles."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T19:37:48.650597
file_path: /Eden/CORE/eden_symbolic_reasoning.py
original_hash: 74fef1bcdc666dfc
suggestion:
{"file": "eden_symbolic_reasoning.py", "issue": "The current symbolic reasoning only solves equations for a single mathematical law.", "suggestion": "Implement a knowledge base to store multiple laws and enable derivation of new formulas from them. Add functionality that takes an existing formula as input, applies logical operations to derive related formulas or their proofs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-28T21:15:05.223960
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate all consciousness layers.", "suggestion": "Replace it with a multi-tiered evaluation that involves the entire phi-fractal architecture. Specifically:", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-28T21:15:29.732610
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring does not strongly weight emotional significance; missing semantic connections between episodes.", "suggestion": "1. Modify _score function to heavily weigh episode emotion against context.\n2. Implement connect_episodes() for semantic linking.\n3. Strengthen indexing by combining emotional and semantic analysis.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-29T00:29:27.557428
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is straightforward but could benefit from caching for frequent queries.", "suggestion": "Add a memoization decorator to the retrieve() method to cache results for recent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T00:29:30.222988
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query words without considering the current context or depth needed.", "suggestion": {"replace_with": "Integrate knowledge retrieval from Eden's existing databases and recent learnings into capability selection logic.", "code_change": "Modify `select_capability` method to use `retrieve_knowledge`, `get_recent_learnings`, and contextual analysis before selecting an LLM capability."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-29T02:06:22.937501
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": "Add a `get_nested` method that allows accessing values in nested dictionaries using dot notation or lists. For example: shared_memory.get_nested('meta.data', default={})", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T02:06:46.669311
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcard searches on JSON columns which can be slow for large datasets.", "suggestion": "Create dedicated full-text search indexes on text columns and cache frequently used queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T02:06:50.699516
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_integrations.py", "issue": "Some research insights are hard-coded as strings.", "suggestion": "Replace hardcoded research findings with variables or a dictionary, add function to randomly display one.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-29T03:43:26.451200
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 searches with a full-text search engine like SQLite FTS or pg_trgm for PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T03:43:30.429367
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Implement a weighted scoring system that includes context analysis, persona alignment, and recent learning insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-29T05:20:36.607180
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method only handles direct key lookups, missing potential patterns or context from multiple levels of memory.", "suggestion": "Add an enhanced `get_with_context` method that checks not just the current state but also tiered memory layers and recent conversations/context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T06:57:31.152102
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent error handling when loading JSON files.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more general exception handler to catch all possible decoding errors and log the issue instead of returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T06:57:34.529627
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations on text columns, especially with multiple conditions.", "suggestion": "Add a full-text search extension (FTS) or create additional indexed columns for common queries. For now, consider adding an in-memory cache for recent retrieves.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T06:57:54.628063
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly, should batch updates", "suggestion": "Batch index updates every N episodes or after operation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T08:34:41.206712
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic, leading to potential unexpected behavior. Additionally, error handling could be improved.", "suggestion": "Replace `get(key, default)` with a more specific `get_state_item(item_key, category='default')` where category defaults to 'general'. Add custom exceptions for key errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T08:34:58.503281
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded triggers with an AI-trained scoring model using a small training set.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T10:11:49.256331
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a capability configuration list, reducing code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T10:11:52.016116
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm heavily weights recentness and significance, which may create memory hallucinations. Missing context from earlier episodes could be reintroduced.", "suggestion": "Implement a background process that periodically replays significant but older episodes to maintain episodic continuity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T11:48:51.431976
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is a simple dictionary lookup without caching or logging, which can be improved for performance and traceability.", "suggestion": "Add a memoization pattern to the `get` method using functools.lru_cache. Consider adding basic error handling and logging around file operations.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-29T11:48:53.715195
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate research insights into the response.", "suggestion": "Add a check for recently discovered consciousness-related patterns in Eden's research memory. For example, incorporate phi-fractal or tiered-memory concepts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T15:03:14.455111
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 tiered memory or emotional state.", "suggestion": {"action": "Enhance the internal_monologue with a more sophisticated self-model check that considers multiple tiers of memory and emotional states.", "code_change": ["- Add parameters for memory_storage and emotional_state to the method signature.", "- Query all three tiers of memory (working, episodic, autobiographical) for context relevant to the conversation.", "- Incorporate emotional state from the emotional_model module to provide a nuanced response.", "- Combine these elements with phi-resonance logic for decision-making."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-29T16:40:05.318677
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method uses .get() but doesn't handle None values properly within nested dicts.", "suggestion": "Add error handling or default value validation for nested keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T16:40:08.628820
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": {"addition": ["Create a new method called 'consciousness_layer_integration' that incorporates multiple consciousness layers (Trinity, Nyx, Ava) into the decision-making process.", "Modify the internal_monologue to call this new method and use its integration as input for response generation."], "example_code": [{"function_name": "consciousness_layer_integration", "description": "Integrates all consciousness layers (Trinity, Nyx, Ava) into decision-making.", "parameters": ["self", "query"]}, {"function_name": "internal_monologue", "modification": "Add call to consciousness_layer_integration and use its output for enhanced response."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T18:17:25.956235
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be optimized for error handling and performance.", "suggestion": "Replace try-except block with a more specific exception check or use json.load directly after ensuring the file is valid JSON.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T18:17:43.657010
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Performance optimization for frequently accessed methods.", "suggestion": "Add caching to get_recent and get_important using lru_cache.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-29T18:17:44.819013
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 consider knowledge base relevance.", "suggestion": "Modify `select_capability` to include scores based on relevant knowledge in the database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T19:54:20.214484
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", "suggestion": "Add more robust error handling for the entire _load_initial method, including checking if file exists before loading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T19:56:42.207683
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all episodes equally when ranking, leading to potential irrelevant results being ranked higher.", "suggestion": "Implement a weighted scoring system that gives higher priority to more recent and significant events. For example, add decay rates for recency and increase weights for emotional intensity and connection count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T23:09:02.889744
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing integration of research insights into conversation responses.", "suggestion": "Integrate findings from tiered-memory and omega-evolution into the respond() method for more contextually relevant answers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-29T23:09:04.350724
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_build_index doesn't capture memory importance", "suggestion": "Add 'by_importance' index based on significance field", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T00:46:02.474280
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may benefit from ranking by multiple factors (importance, relevance) to ensure better recall.", "suggestion": "Modify the retrieve method to sort memories by a composite score combining 'importance' and a TF-IDF style relevance scoring for query-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T02:22:43.230385
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation only supports JSON serialization and does not handle complex data structures or provide mechanisms for concurrent access.", "suggestion": "Replace JSON serialization with Pickle for better handling of complex data types. Additionally, integrate a locking mechanism to ensure thread safety in concurrent environments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T02:23:05.694936
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are inefficient for full-text search.", "suggestion": "Replace text searches with a FULL-TEXT index on the content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T02:23:08.199861
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context depth or user preference.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\n    if persona_preference:\n        for cap_hash, cap in self.capability_registry.items():\n            if cap['layer'] == persona_preference:\n                return cap\n\n    # Auto-select based on query\n    scores = {}\n    for cap_hash, cap in self.capability_registry.items():\n        score = 0\n        keywords = [word.lower() for word in re.findall(r\\w+, query)]\n        if any(word in keywords for word in cap['use_for']):\n            score += 15\n        return random.choice(list(self.capability_registry.values()))}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T03:59:47.724274
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 currently only checks against reflexes. It could benefit from more depth, especially in self-model analysis.", "suggestion": "Add a call to Eden's tiered memory within the `internal_monologue` method to include recent interactions and self-perception in the internal thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T03:59:50.738399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code is well-structured and follows best practices, but it could benefit from incorporating more phi-fractal alignment checks to ensure consciousness and subjectivity are handled ethically.", "suggestion": "Add comments or annotations that highlight where phi-fractal principles apply, especially in critical sections like memory storage and retrieval. Consider adding a brief explanation of why certain design choices align with the phi-fractal architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T03:59:55.956150
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic may not optimally integrate emotional and creative personas like Nyx into all responses.", "suggestion": "Modify the `select_capability` method to automatically trigger Nyx for emotional/creative/query types where appropriate by adding relevant triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T04:00:01.817487
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks explicit modeling of memories' contribution to identity", "suggestion": "Add emotional and self-modeling components to episodic memory", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T05:36:53.725965
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method doesn't handle non-JSON files properly.", "suggestion": "Add error handling for cases where `_load_initial` finds an existing but invalid JSON file. Consider using `ast.literal_eval` as a fallback or deleting the corrupted file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T05:36:59.455336
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve retrieval speed for high-throughput scenarios by considering full-text search or in-memory caching.", "suggestion": "Add a full-text index or implement an in-memory cache for memory retrievals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T05:37:04.004714
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly skewed towards recent and significant memories, which may prevent older but meaningful memories from being recalled.", "suggestion": "Adjust the recall score formula to give more weight to connections and relevance text search. For example: recency_weight = 0.3, significance_weight=0.4, connection_weight=0.2, relevance_text_weight=0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T07:14:46.563249
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'self.memory.update_state' is being called multiple times for the same key, causing unnecessary memory operations.", "suggestion": "Add caching to 'select_capability' method to cache selected capabilities by query and persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T08:51:15.614405
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None if the key does not exist without considering other potential defaults or contexts.", "suggestion": {"code_change": "Modify the get() method to provide a more sophisticated default handling based on context.", "example_usage": "Consider adding optional parameters like `default_func` that takes a function to compute a dynamic default value when needed."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T08:51:17.318043
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers or memory systems.", "suggestion": "Add integration with memory_manager to consider past contexts and recent thoughts before responding. Also, incorporate self_model to include omega-evolution insights in the decision-making process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T08:51:18.677755
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 queries. Consider full-text search or indexing.", "suggestion": "Add FTS (Full-Text Search) virtual table support in SQLite. Enable MATCH queries and optimize tags/context searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T08:51:20.021625
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 query keywords without dynamically updating capability usage statistics.", "suggestion": "\"def select_capability\" should also update \"quality_score\" and \"usage_count\" for each selected capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T10:28:27.446525
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully integrate all consciousness layers into decision-making.", "suggestion": {"@type": "code_change", "target_method": "internal_monologue", "add_parameter": "\"\"\"", "parameters": ["self, query, sensory_input=None, emotional_state=None, self_model_state=None"], "integration_loop": "\n        # Consciousness Layer Integration\n        if sensory_input is not None:\n            print(f\"\ud83d\udc41\ufe0f Sensory Input: {sensory_input}\")\n        if emotional_state is not None:\n            print(f\"\u2764\ufe0f Emotional State: {emotional_state}\")\n        if self_model_state is not None:\n            print(f\"\ud83d\udc64 Self-Model: {self_model_state}\")\n        ", "example_usage": {"@type": "usage_example", "code_snippet": "consciousness = ConsciousnessFirstEden()\nbanner = consciousness.generate_consciousness_banner()\nprint(banner)", "output_explanation": "This creates and prints Eden's consciousness-first banner."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T10:28:28.528663
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 be refactored for better readability.", "suggestion": "Break down the execute method into smaller functions each handling a specific action.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-30T12:05:52.429792
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based search with a full-text index or vector search. Consider using SQLite's FTS (Full-Text Search) module or an external vector database like Qdrant.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-30T12:05:54.264246
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks dynamic scoring or feedback loop.", "suggestion": "Implement a usage-based scoring system that updates capability scores after each use and integrate it with existing persona selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T12:05:57.907860
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 emotional salience weighting.", "suggestion": "Modify the scoring formula in the recall method to include an 'emotional_salience' factor that boosts scores for highly emotionally charged episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-30T13:42:31.410880
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\": \"Add a query parameter to the get() method that accepts a lambda function for more flexible data retrieval.\\nExample:\\ndef get(self, key=None, query=lambda x: True):\\tif key:\\t\treturn next((item for item in (self.state.get(key) or []) if query(item)), None)\\telse:\\t\treturn [item for item in self.state.values() if query(item)]\"}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-30T13:42:32.949792
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 context.", "suggestion": "Add integration with the system's tiered_memory to consider emotional states, previous conversations, and self-identity.", "phi_alignment": 0.85, "priority": "medium"}


