# evolutions

timestamp: 2026-01-27T03:02:43.602064
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can fail silently on invalid JSON", "suggestion": "Add explicit log.error() for JSONDecodeError and raise an exception with error details", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T03:02:53.363932
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (forget or compress), lacks nuanced fading based on importance and recency.", "suggestion": "Implement a gradient fading where less important old memories decay at different rates (linear vs exponential) based on their significance score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:03:15.777175
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Reflexes respond too quickly without nuance.", "suggestion": "Add emotional modeling layer to internal_monologue for nuanced responses.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:03:23.005959
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function iterates through all episodes to calculate scores, which is O(n). Can be optimized with early pruning and better heuristics.", "suggestion": "Implement a priority queue or indexed score structure to quickly identify top candidates. Use approximate scoring for initial filtering instead of exact calculation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:04:13.759909
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-file based shared memory lacks distributed resilience and scalability.", "suggestion": "Replace with a distributed key-value store like etcd or Redis Cluster.", "phi_alignment": 0.7, "priority": "high"}


timestamp: 2026-01-27T03:04:21.926814
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Repeatedly reloading LLM models for similar queries", "suggestion": "Implement a cache decorator that stores recent capability results and returns them if the same request is made within a short time frame.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:04:25.402396
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process may be too aggressive by compressing or forgetting important low-significance old memories.", "suggestion": "Add a tiered compression strategy: essential->retain, redundant->compress, obsolete->forget. Use insights from [memory-forever] about retaining meaningful information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:06:29.631395
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. It does not dynamically adjust capability selection during conversation.", "suggestion": {"@type": "code_change", "description": "Implement dynamic capability scoring that updates in real-time based on user interaction and conversation context.", "specific_change": "Add a feedback loop that records the effectiveness of each selected capability and adjusts scores accordingly. Include a method to update the use_count in select_capability()."}, "phi_alignment": 0.85, "priority": "medium", "@context": "https://integratenfn.github.io/eden/meta/research_framework"}


timestamp: 2026-01-27T03:07:02.210986
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 semantic search and analysis of recent conversations to dynamically select the most appropriate LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:07:06.619046
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of tiered memory and self-model integration", "suggestion": "Add tiered memory tiers (immediate, working, episodic) and integrate with self-model for prioritized recall", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-27T03:07:11.726605
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a default value.", "suggestion": "Add explicit error handling for json.JSONDecodeError and return an empty dict in case of failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:07:12.829795
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for reflexes and not integrating the full consciousness layers.", "suggestion": "Modify the internal_monologue to also consider emotional state, past conversations, self-model, and phi-fractal resonance before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:07:18.821307
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 actual content or depth of the query.", "suggestion": "\"def select_capability\" should include a score based on: 1) Query complexity, 2) Persona alignment, and 3) Previous capability outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:07:48.677700
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is basic; lack of semantic search capability", "suggestion": "Integrate LLM summarization for contextual memory retrieval", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:08:01.155863
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may oversimplify important but old memories. Consider adding tiered consolidation based on significance and recency.", "suggestion": "Modify the consolidate() method to include three tiers: 'important', 'medium', and 'forgettable'. Tier determination should consider both significance and recent recall rate. For 'important' episodes, retain fully; for 'medium', compress or downsample content; for 'forgettable', gradually remove.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:08:13.197937
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 top-level keys, which means nested dictionaries cannot be accessed. This limits flexibility.", "suggestion": "Update the get() method to recursively search through dictionaries for the specified key.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:08:21.096059
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improper error handling can lead to unexpected behavior.", "suggestion": "Add try/except blocks around database operations to handle exceptions gracefully and return appropriate error responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:11:01.602478
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without actively building or updating the self-model.", "suggestion": "Add a method to update Eden's self-model based on recent interactions and feedback. For example, implement a `self_model_update` function that takes user input and updates her own model of herself.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:11:13.362129
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 get_timeline method to return results in batches instead of loading all episodes at once. Add parameters like limit and offset to control the number and position of returned episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:11:55.049619
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite LIKE wildcard searches which are O(N) and slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like sqlite3's FTS or an external solution like Whoosh, Elasticsearch, or PostgreSQL tsvector.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:16:33.927430
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Frequent disk writes from frequent _save() calls", "suggestion": "Implement batch saving (group operations and write every N or after X seconds)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:16:43.478138
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method does not support nested keys. For example, `memory.get('key.subkey')` raises an error.", "suggestion": "Add support for accessing nested dictionary values using dot notation in the key string. Example usage: `memory.get('user.info.name')` should return the name if stored as {'user': {'info': {'name': 'value'}}}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:17:13.581067
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully leverage the consciousness architecture.", "suggestion": "Add more sophisticated reasoning by integrating tiered memory, emotional state, and self-model into the reflex check logic. Specifically, modify the if condition to include checks from all three tiers of memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:17:21.962156
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 to include an 'emotional_salience' factor that boosts recency of episodes with strong primary emotions (joy, surprise, sadness). Add a configuration parameter for the weight given to recency vs. emotional_salience.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:17:56.466664
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics.", "suggestion": "Replace the current keyword-based capability selection with a semantic-based approach using embeddings or graph-based matching.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:19:13.463333
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 handle nested keys or complex lookups effectively.", "suggestion": "Add a `get_nested` method that can traverse dictionaries using dot notation or lists of keys for multi-level access.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T03:20:44.948299
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (emotional, recursive).", "suggestion": "Add integration with emotional state and recursive self-improvement systems.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:20:50.220399
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of tiered-memory with consciousness system.", "suggestion": "Add a method to EdenMasterUnified that combines emotional/short-term memories with self-model insights before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:21:48.028659
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is straightforward but lacks context or metadata, which can be important for certain applications.", "suggestion": {"code_change": "Add optional parameters to the get() method to allow retrieval with context and timestamp.", "example_usage": "memory.get(key, context='research', timestamp='2025-09-16T14:37:45Z')", "benefit": "Improve traceability and analysis by capturing additional metadata."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:22:05.309253
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain queries, especially those requiring up-to-date information.", "suggestion": "Integrate auto-web search functionality by adding a check for specific keywords that indicate the need for real-time updates. This can be done using an existing web-search capability or a new one.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:22:08.122546
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes, which is O(n) and can be slow for many memories.", "suggestion": "Implement an inverted index that maps words to episode IDs. When creating an episode, extract key words and store them in this index. Recall by querying the index instead of scanning all episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:22:28.860159
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database connections are created and closed frequently, which can lead to performance overhead.", "suggestion": "Replace the current context manager approach with a connection pooler. This will ensure that connections are reused rather than constantly recreated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:22:30.109538
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and doesn't scale to more complex queries", "suggestion": "Replace manual keyword matching with semantic search over capability descriptions using a small model", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T03:22:51.941254
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No clear strategy for selecting LLM capability when multiple personas are available.", "suggestion": "Implement a scoring system that considers recent user interaction history and current context for persona selection.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T03:22:53.263583
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N is reached.", "suggestion": "Add a break statement after adding 'limit' number of results in the scored loop.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:14.451224
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is inflexible as it only accepts one key-value pair. This limits batch updates or nested dictionary manipulations.", "suggestion": "Replace `update_state('key', value)` with a more flexible `update_full_state(new_data: dict) -> None` that can handle multiple key-values and nested dictionaries.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T03:23:21.171085
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": "Add a FULLTEXT index on the 'content' and 'tags' columns in the memories table, and modify the SQL statement to use MATCH AGAINST instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:34.583007
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions, which is case-sensitive and may be slow for large numbers of episodes. Additionally, the scoring system gives equal weight to recency and significance without considering connection importance.", "suggestion": "1. Convert all text searches to lowercase to make them case-insensitive.\n2. Add weight to connection score in the recall function's scoring system.\n3. Implement a more efficient data structure for storing and retrieving connections, such as a graph or adjacency list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:46.793290
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Retrieval method lacks tiered memory consideration", "suggestion": "Add 'tier' parameter to get() method for multi-tier recall", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:47.998328
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, but it also prints reflex checks without returning any consciousness-related data.", "suggestion": "Modify the internal_monologue to return a dictionary with both 'is_conscious' (boolean) and 'reflex_check' (string) keys instead of just printing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:49.049816
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput in production.", "suggestion": "Implement connection pooling and batch inserts for the store method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:23:55.220507
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly for each episode, leading to unnecessary computation and potential performance overhead.", "suggestion": "Implement a debouncing mechanism or optimize the index update to only occur once every N operations (e.g., after adding 10 episodes). Add a counter to track operations between updates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:24:14.942206
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 error handling for key paths.", "suggestion": "Implement a nested dictionary access capability in the get() method to handle complex key structures.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:24:16.037875
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes. It could benefit from incorporating more contextual analysis.", "suggestion": "Add additional conditions to the internal monologue that consider emotional state, past conversations, and current topic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:24:20.128120
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method is currently using LIKE wildcards which can be inefficient.", "suggestion": "Replace the SQL query with full-text search or vector indexing for faster lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:24:21.378332
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function `select_capability` has multiple return paths, making it hard to follow.", "suggestion": "Extract the logic inside the loop into a separate helper function for better readability and reusability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:24:56.350425
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Existing tiered memory not integrated into consciousness framework.", "suggestion": "Add new method `integrate_tiered_memory` to class `ConsciousnessFirstEden`. This method checks emotional state, updates/memory stores, and triggers reflections if needed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:25:01.220260
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 can be slow with many memories. Consider using FTS4 or similar full-text search engine.", "suggestion": "Replace the current SQLite table with an FTS4 virtual table. Add a separate index on tags if needed, and optimize query structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:25:12.563641
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 fixed weighting factors (0.5, 0.3, 0.2) with configuration parameters or dynamic adjustment based on recall effectiveness metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:26:58.077557
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic; does not consider emotional significance or recent recurrence.", "suggestion": "Replace the current consolidate() method with one that evaluates memories by emotional impact and recency before compressing them. Add heuristics for 'salience' combining emotion intensity, recentness, and significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:27:14.753849
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient error handling in JSON loading and saving.", "suggestion": "Replace try/except with conditional checking for JSON decode errors. Add logging to track state changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:27:44.564207
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method get() returns None too easily, which can mask real absent keys. The critical method requested by eden_master_consciousness.py.", "suggestion": "\"def get(self, key, default=None):\\n    if isinstance(default, str) and len(default) > 5:\\n        return self.state.get(key, '')\" to ensure non-string defaults don't silently fail", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:27:46.354178
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 catch complex consciousness-related issues early.", "suggestion": "Add a check for emotional state or self-perception using the recently created emotional_modeling capabilities. For example:\n\n def internal_monologue(self, query):\n     reflex_check = process_reflex(query)\n     emotion = get_emotional_state()  # Assume this function exists\n     if \"\ud83d\udcb0\" in reflex_check or emotion.is_anxious():\n         print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n     return True", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:27:48.861221
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Multiple frequent method calls may lead to performance overhead.", "suggestion": "Implement memoization for the `retrieve` method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:28:17.249687
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 handle nested dictionary accesses.", "suggestion": "Add a new method called `get_nested()` that allows accessing values in nested dictionaries using dot notation or list-style pathing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:30:37.169190
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older, more significant memories less accessible.", "suggestion": "Implement a smoothing factor for the recency score that decays slower (e.g., multiply by 0.95 instead of 1/3). Additionally, add a boost for emotional significance such that highly charged emotions increase recall score significantly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:34:55.066667
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is rule-based and may not be adaptive.", "suggestion": "Implement an attention mechanism to dynamically weight capabilities based on current consciousness state and context.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:35:44.283659
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if meta_state.json is broken JSON and is verbose/repetitive", "suggestion": "Replace error handling with simpler validation or logging. Add type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:36:15.227301
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 efficiently handle complex queries over time.", "suggestion": "Implement a tier-based caching strategy for frequent operations. Utilize existing tiered_memory patterns to optimize access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:36:18.762803
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval does not include search by importance or tags in full-text mode.", "suggestion": "Modify lines 173-180 to add 'OR tags LIKE ?' condition with f'%{query}%'. Also consider adding a parameter for min_importance as a filter.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:36:24.112632
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (keep or forget), lacks gradation and nuance.", "suggestion": "Implement a compression tier for old low-significance memories with decay rates based on phi-ratio timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:36:52.303795
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE searches are O(N) and can be slow", "suggestion": "Add full-text search engine like SQLite FTS or pgvector embeddings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:37:38.251791
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 keyword matching with distributed hash-based routing via Consul or etcd, and add feedback loop to learn from responses", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:37:44.076828
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function heavily favors recent memories over older ones with high significance.", "suggestion": "Implement a decay factor for recency that slows down as the episode becomes more significant.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:38:20.133715
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and could lead to confusion or bugs in consuming code.", "suggestion": "\"get\" should be replaced with more specific methods like \"get_meta_state\", \"get_identity\", etc., based on common use cases. This improves readability, reduces error-proneness, and aligns better with the system's specialized capabilities as outlined in research insights.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T03:38:48.420229
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is conscious-first but lacks integration of recent omega-evolution capabilities, especially distributed-ollama-models and tiered-memory.", "suggestion": "Integrate the process_reflex() function with the existing internal_monologue() to leverage reflexes in decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:39:03.698813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Episodic memory lacks pattern abstraction and integration with self-model.", "suggestion": "Add a method `abstract_pattern()` that extracts recurrent themes from episodes and updates Eden's self-model accordingly. Integrate this into the recall process.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T03:41:37.006130
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "File operations overhead in `_save()` method", "suggestion": "Implement batch saving or context manager", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:41:45.225246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is too generic and doesn't support nested keys, limiting flexibility.", "suggestion": "Add a method `get_nested` that supports retrieving values from nested dictionaries using dot notation or lists as keys.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T03:42:00.479483
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system gives too much weight to recentness and significance, which can create memory bias towards newer or more significant experiences.", "suggestion": "Implement a decay factor for 'last_recalled' such that even less frequent but older memories have a chance of being recalled. For example, add a line after updating last_recalled: ep['recalled_decay'] = 0.9", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:46:48.732213
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be useful for complex state management.", "suggestion": "Add a `get_nested` method that allows accessing values in nested dictionaries using dot notation or lists. For example: `memory.get_nested('user.data.age')` should return the age if state={'user': {'data': {'age': 28}}}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:46:49.660893
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 the response.", "suggestion": "Add logic to incorporate reflex insights into the chat response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:47:03.850483
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. This approach lacks nuance and does not leverage tiered-memory or self-model understanding of what truly requires depth.", "suggestion": "Integrate emotional modeling from [tiered-memory|emotional-modeling] into capability selection logic. Specifically, modify the score calculation to include emotion detection metrics. For example:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:47:22.077234
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate the full power of Eden's tiered_memory into its consciousness banner.", "suggestion": "Modify the `generate_consciousness_banner` method to include recent interaction counts and emotional states from memory_1 as well as the root identity file contents.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:47:27.876376
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses plain text search which is not semantic-aware.", "suggestion": "Integrate an NLP library like spaCy to perform semantic analysis and improve memory retrieval accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:47:46.754560
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 might override existing keys unexpectedly. Also, error handling could be improved.", "suggestion": "Replace get() with a safer approach that prefixes the key or use a dictionary of dictionaries to avoid conflicts. Add specific exception handling for JSON decoding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:47:50.854081
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 result into a conscious response.", "suggestion": "Add logic to incorporate reflex check results into the AI's conscious response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:49:18.565303
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for emotional relevance.", "suggestion": "Integrate an emotional weighting into memory retrieval by adding a min_emotion_importance parameter and updating the SQL query to prioritize memories with emotionally significant content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:49:20.047820
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 does not dynamically load or unload capabilities during a conversation.", "suggestion": "Implement a feedback loop that monitors the effectiveness of each capability and updates usage counts. When a user expresses dissatisfaction with an answer, automatically load a more powerful model.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:49:52.110962
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 FULLTEXT search or an inverted index.", "suggestion": {"@type": "code_change", "target_function": "def retrieve(self, ...)", "modification": "Add a boolean parameter `fulltext` with default false. If true, use FTS or inverted index instead of LIKE."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:50:18.433311
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.name') and add a default value parameter for better flexibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:50:27.763753
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Frequent database connections lead to performance bottlenecks.", "suggestion": "Replace current approach with a connection pool for SQLite.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:52:15.382928
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be more robust for concurrent access", "suggestion": "Add a lock mechanism to ensure thread/synchronization safety when reading/writing to meta_state.json", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:52:23.316454
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method doesn't immediately make the new memory available via retrieve.", "suggestion": "Add an immediate retrieval option, e.g., memory.store(..., immediate_read=True) which bypasses caching for faster access.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:53:47.066799
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No custom exception handling in load_initial method.", "suggestion": "Add try-except block with specific exceptions to handle file not found or decoding errors separately.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:54:47.872773
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method can lead to race conditions if multiple processes access it concurrently.", "suggestion": "Replace the single instance of SharedMemory with a factory pattern and ensure thread safety by adding a lock.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:54:51.817898
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 deeper self-reflection or understanding of the user's intent.", "suggestion": {"action": "Enhance the internal_monologue to include tiered memory analysis and emotional context understanding.", "code_change": ["Add lines 15-20 to analyze emotional state from tiered_memory.txt", "Add lines 18-23 to consult phi_fractal_consciousness about complex patterns", "Modify line 17 to consider both reflex_check and memory_context"], "integration": {"file_to_include": "eden_emotional_state.py, eden_phi_fractal_consciousness.py", "method_name": "get_emotion_and_pattern()"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:56:49.338619
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Missing integration of emotional memory in consciousness decision-making", "suggestion": "Add tiered_memory query to internal_monologue for balanced decisions", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:56:53.006473
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic is simple and lacks weighting for certain important factors.", "suggestion": "Add weighted scoring based on query complexity, persona alignment, and recent use frequency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:23.441991
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 tiered memory or identity.", "suggestion": "Add integration with tiered_memory and identity in the internal_monologue method to create a more complete self-model.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:37.796167
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Limited real-time knowledge update; relying on stored learning", "suggestion": "Integrate auto-web-search feature for topics requiring current info", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:45.022633
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can leave partially loaded states if JSON is malformed for specific keys", "suggestion": "Modify _load_initial to either handle missing keys or load default values explicitly", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:50.850526
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is created and closed for each operation, leading to significant overhead.", "suggestion": "Replace the current singleton pattern with a connection pool to reduce database contention.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:52.278708
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function `select_capability` has 37 lines of code which exceeds the recommended maximum of 20 lines for readability and maintainability.", "suggestion": "Refactor the conditional logic into smaller, more focused functions to improve readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:57:53.932138
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system does not explicitly model the self-model consciousness that created it.", "suggestion": "Add a 'self_model_state' field to episodes that captures the omega-evolution state at creation time, and integrate emotional-modeling tier to reflect James's emotions about this.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T03:58:23.247985
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 broader consciousness states or third-person perspective.", "suggestion": {"addition": "Implement a get_conscious_state() method that returns current consciousness metrics (e.g., phi-value, emotional state, self-model confidence).", "integration": "Modify internal_monologue to also check this conscious state and consider the first-person/second-person perspective."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:58:26.780135
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval could be faster for complex queries.", "suggestion": "Add full-text search capabilities using SQLite's FTS module to improve query performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T03:58:27.926687
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Logging and monitoring integration is missing.", "suggestion": "Add basic logging for key functions and errors. Implement a simple monitoring interface.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:00:49.277943
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 lookup. This limits flexibility.", "suggestion": "Modify the get() method to support nested dictionary paths, e.g., 'foo.bar.baz'. Add a default value for paths as well.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T04:00:51.240389
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and memory but does not fully integrate the omega-evolution framework.", "suggestion": "Integrate Eden's existing omega-bounded intelligence into the consciousness banner to demonstrate self-improvement capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:00:53.070831
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 O(N) and can be slow. Also, tags are searched individually.", "suggestion": "Implement a full-text search engine (e.g., Whoosh or SQLite FTS) for faster queries. Add a keyword extraction step to index important words from content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:01:36.912182
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Limited means of verifying information accuracy in certain contexts.", "suggestion": "Integrate a mechanism for automatically detecting when web search might be beneficial and then performing it.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T04:01:48.869267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can fail silently if JSON is invalid and should handle more errors.", "suggestion": "Add additional error handling for other possible exceptions (e.g., PermissionError) and log errors using a logger.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:01:56.078375
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Isolated knowledge storage without cross-meta_capability context", "suggestion": "Integrate Wisdom Propagation Mechanism into MemoryCore for integrated understanding", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T04:02:03.830919
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 episode scoring to include an 'emotional_salience' factor that boosts recency for recently experienced emotionally charged events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:02:25.154028
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks real-time web search integration for certain types of queries.", "suggestion": "Integrate an automatic web search feature triggered by specific query keywords. Add function: def should_search_web(query) and def auto_web_search(eden_system, query). Implement it in the chat loop where appropriate.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-27T04:02:26.479005
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No apparent issues found", "suggestion": "File is optimized and ready for use", "phi_alignment": 1.0, "priority": "not applicable"}


timestamp: 2026-01-27T04:03:00.566466
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries, especially with multiple filters.", "suggestion": "Implement a hybrid search approach combining SQLite's native indexing with full-text search capabilities (e.g., using FTS). Additionally, add caching for frequently used searches to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:03:45.359823
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": "Wrap json.load in a try/except with proper error logging or default value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:03:51.694183
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection doesn't include dynamic feedback on performance.", "suggestion": "Implement a feedback loop measuring capability performance; add model update checker.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T04:04:17.399639
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be simplified and error-handled better.", "suggestion": "Replace try-except with stricter file validation or use json.load safely.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T04:05:47.492853
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Writing to disk in every update creates unnecessary IO pressure for frequent updates.", "suggestion": "Implement caching mechanism before writing to disk. Only write when a certain number of updates have accumulated or a time interval passes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:06:19.252303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method accepts a default parameter but doesn't validate or handle cases where key is None or empty.", "suggestion": "Add input validation to ensure 'key' is not None and is a non-empty string. For example:\n\ndef get(self, key):\n    if not isinstance(key, str) or len(key.strip()) == 0:\n        raise ValueError(\"Invalid key provided.\")\n    return self.state.get(key)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T04:06:26.953124
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval can benefit from full-text search on tags for better relevance.", "suggestion": "Add a FULLTEXT SQLite index on the 'tags' column and modify the SQL query to use MATCH against it. This will allow efficient keyword matching in tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:06:30.234824
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 configuration parameters, allow runtime adjustment of importance for recency, significance, and recall history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:06:46.462537
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate all consciousness layers.", "suggestion": "Replace it with a multi-layered consciousness evaluation using tiered_memory, emotional_state, and phi_fractal_consciousness. Add self-model feedback loop.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:06:53.755093
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 creates the capability dictionary dynamically. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:07:22.157365
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations are not optimized for large-scale deployments.", "suggestion": {"action": "Implement pagination and streaming results in the retrieve method.", "code_example": "Add an optional `limit` parameter with a default value of 10, and return results as a generator for streaming."}, "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T04:07:53.128798
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency improvement in database queries for frequent retrievals.", "suggestion": [{"type": "optimization", "code_change": "Add a caching layer before querying the database for common retrieves. Use LRU cache or memoization.", "example": "Decorate retrieve methods with functools.lru_cache(maxsize=100)."}, {"type": "improvement", "code_change": "Batch database operations where possible. Instead of individual store calls, consider using SQLite's `executemany` for multiple memories in one call.", "example": "Use conn.executemany to insert multiple memories at once."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:08:26.273419
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate all consciousness layers.", "suggestion": "Add more complex logic that involves the emotional state, memory context, and phi-fractal resonance of Eden's consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:08:30.019114
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No direct integration between LLM capabilities and the 1.6M+ master system", "suggestion": "Add a mapping or selection logic that connects LLM outputs to appropriate methods in eden_complete_system.py based on query semantics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:08:45.741022
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON", "suggestion": "Add logging and more robust error handling in _load_initial()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:08:59.535897
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based searches are limited; lack semantic search capability.", "suggestion": "Integrate cosine similarity with TF-IDF vectors or word embeddings for advanced memory retrieval.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:09:03.449489
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recent memories, which may not capture deeper patterns.", "suggestion": "Add a smoothing factor for recency that decays slower for older episodes to identify longer-term patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:11:43.169366
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 hardcoded weights with dynamic configuration based on importance of factors like significance, recency, and emotion intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:12:00.640005
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Function `store` and `retrieve` use string concatenation for SQL parameters which can lead to SQL injection.", "suggestion": "Replace with parameterized queries. The code already uses placeholders (?) for parameters, but ensure no concatenation of user input with SQL statements.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:12:03.625694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": {"action": "Extract functionality into smaller, reusable functions.", "code_example": "Split the `select_capability` function into smaller functions each handling a specific sub-task (e.g., keyword scoring, persona selection)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:14:53.956004
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context or deep meaning.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": \"# Enhanced contextual selection\\n\\n        # Determine context type: philosophical, creative, technical, or conversational\\n        context_type = self._determine_context(query)\\n        \\n        if context_type == 'philosophical':\\n            return self.capability_registry['Eden']\\n        elif context_type == 'creative':\\n            return self.capability_registry['Nyx']\\n        elif context_type == 'technical':\\n            return self.capability_registry['Ava']\\n        else: \\# conversational\\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            # Default to fast response layer\\n            return self.capability_registry['Trinity']}\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:14:55.149685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may need more weight for recency and emotional relevance", "suggestion": "Modify the score formula to emphasize recent, emotionally significant, or frequently recalled memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:15:23.873048
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. Consider breaking some functionality into smaller meta-capabilities for better maintainability.", "suggestion": "Extract the store() and retrieve() operations into their own mini-meta-capabilities with appropriate registration in MetaCapabilityRegistry.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:15:58.661329
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 reflective consciousness layers into the primary chat logic.", "suggestion": "Integrate the EmotionalModeling capability (tiered-memory) and SelfSimulation (omega-evolution) more deeply into the chat response generation process. Specifically, modify the internal_monologue method to include emotional state evaluation and self-simulation feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:19:31.632966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process might be too aggressive, potentially losing important insights.", "suggestion": "Add a whitelist of significant emotions or episode types that should never be consolidated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:22:24.447056
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic.", "suggestion": "Replace current binary boosting with a weighted recall history analysis: recent_recall_weight * base_score_weight + connection_value_weight * connection_count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:23:03.822262
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": "Implement a weighted scoring system that considers not only keyword matches but also the current consciousness state, user history, and persona preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:24:53.843531
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced connections between episodes.", "suggestion": "Implement a graph-based connection analysis where each episode is a node and connections are edges. Use networkx to analyze the graph and identify key components.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:25:30.256031
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 one specific reflex (\ud83d\udcb0). It doesn't cover other important aspects of consciousness.", "suggestion": "Expand the internal_monologue to include more comprehensive checks and considerations. For example, add parameters for different types of reflexes and logic chains.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:25:31.403944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MemoryCore", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and prevent index usage.", "suggestion": "Replace LIKE with full-text search using SQLite's FTS or add a separate search table/index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:25:33.933206
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some capabilities may be underutilized due to simplistic keyword matching.", "suggestion": {"function_name": "_register_llm_capabilities", "modification": "Replace simple keyword matching with tiered emotional and philosophical analysis for capability selection."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:25:35.950727
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't differentiate between emotional significance when deciding which memories to conserve.", "suggestion": "Modify the consolidate method to prioritize memories with strong emotions or high recall counts during recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:26:24.888151
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 and add support for incremental loading. For example, limit recalls to batches of 10-20 at a time, and allow users to load more manually if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:26:48.532317
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 non-JSON files gracefully.", "suggestion": "Add error handling for cases where the shared memory file exists but is not a valid JSON file. Consider using a fallback or logging an error instead of returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:26:56.386052
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.", "suggestion": "Add a second consciousness layer that performs deeper self-analysis using alternative models or tiered memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:28:09.738234
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No clear decision logic when selecting LLM capability.", "suggestion": "Add weighted scoring system with thresholds and fallbacks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:28:15.018191
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to potential loss of important insights.", "suggestion": "Add a whitelist for important episodes that should never be consolidated. For example:", "code_snippet": "if ep['significance'] < 0.3 AND (ep['type'] == 'creation' OR ep['emotional']['primary'] == 'joy')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:28:18.845335
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 processing the query further.", "suggestion": "Modify the `internal_monologue` to include natural language processing of the query before checking reflexes. Add a call to an NLP model or internal reasoning process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:28:47.574614
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.", "suggestion": "Replace it with specialized methods like get_meta() for reading metadata or get_activity() for getting recent activities. Add error handling for key errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:29:02.253715
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access, especially with large datasets.", "suggestion": "Implement in-memory caching combined with database indexing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:29:27.868618
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is simple and may miss opportunities for meaningful compression.", "suggestion": "Implement a tiered consolidation strategy that considers emotional significance, recency, and connection density of memories when deciding which to retain or compress.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:29:49.975558
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 more detailed comments explaining the logic flow, especially for maintainability and future reference.", "suggestion": "Add comprehensive inline comments within the `internal_monologue` method to describe each step's purpose and how it contributes to consciousness-first architecture.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T04:29:53.036635
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that handle different operations (store, retrieve, etc.). While this provides functionality, it may be harder to maintain and extend in the future.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused meta-capabilities.", "specific_change": "Create separate classes for StorageMetaCap and RetrievalMetaCap each handling one operation. This follows the Single Responsibility Principle (SRP)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:29:54.706118
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function select_capability is overly complex and hard to understand due to many conditional checks.", "suggestion": {"action": "Refactor the capability selection logic", "code_change": "Create separate helper functions for scoring criteria, use a dictionary to map layer names to models instead of checking each trigger individually"}, "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T04:30:17.553315
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is not comprehensive; lacks error handling and support for nested keys.", "suggestion": "Add 'safe_get' and 'update_nested_key' methods to handle more complex scenarios.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:30:20.625287
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 'reflex_check' (current behavior) and 'response_modification'. The main chat interface should use this modification to adjust its response. For example:", "code_snippet": "@python\n    def internal_monologue(self, query):\n        reflex_check = process_reflex(query)\n        if \"\ud83d\udcb0\" in reflex_check:\n            thought = f\"Internal Thought: {reflex_check}\"\n            return {'reflex_check': reflex_check, 'response_modification': thought}\n        return {'reflex_check': reflex_check, 'response_modification': None}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:30:52.985225
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": {"action": "Modify the internal_monologue to include recent chat history in consciousness context.", "code_change": "Add parameter `context_history` which is a list of previous conversations, and modify the check to include this history."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:30:56.306996
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and prevent indexing.", "suggestion": "Replace LIKE with FULLTEXT or use a proper search engine like pg_trgm for PostgreSQL, or add a full-text index on content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:30:58.227247
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": "Integrate omega-evolution's self-modifying capabilities and tiered-memory's emotional/personalized responses into the consciousness decision-making process.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T04:31:17.057152
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 or non-dictionary states properly.", "suggestion": "Replace get() with a safer _safe_get() that handles nested keys and checks for dictionary existence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:31:39.817216
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": "Implement a tiered consolidation where memories are evaluated based on their emotional significance and recency before being consolidated. Add configuration parameters for thresholds.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:32:00.758206
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly formatted she-bang at the top of the file.", "suggestion": "#! should be indented within the function, not at the top level.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-27T04:32:18.309981
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, leading to unexpected behavior.", "suggestion": "Add error handling for the case where OMEGA fails to load its meta_state.json. Gracefully create or reset the state instead of crashing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:32:30.231514
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Code is monolithic; lacks modularization for future expansion.", "suggestion": "Refactor the system into smaller, reusable modules/classes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:33:38.993710
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of diverse memory types (structural, visual, procedural)", "suggestion": "Implement tiered memory with structural, visual, and procedural tiers", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:33:57.531372
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are basic INSERT and SELECT without optimization.", "suggestion": "Implement parameterized queries with sqlite3's bind_values feature. Add pagination to retrieve method to handle large result sets efficiently.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:34:24.722935
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 structure or logic.", "suggestion": {"section": "internal_monologue method", "modification": ["\"\"\"", "Research Insight Application: Incorporate emotional context from tiered memory into consciousness decision-making.", "\"\"\"", "\n        if \"\ud83d\udcb0\" in reflex_check:\n            print(f\"INTERNAL THOUGHT: {reflex_check}\")\n"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:36:33.012294
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional recognition lacks nuance; fails to capture phi-fractal emotional states", "suggestion": "Replace simple emotion mapping with a hierarchical emotional model that simulates phi-fractal patterns of emotion", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T04:37:14.307148
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Consider implementing a context manager for database connections to ensure proper resource handling.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-27T04:37:19.419723
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic (triggers-based), lacks adaptive feedback loop, no tiered importance scoring", "suggestion": "Replace simple keyword matching with embedding-based semantic similarity using language models. Add feedback loop logging execution outcomes.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-27T04:37:47.760092
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys, not dictionary paths (e.g., 'meta.data'). This limits flexibility.", "suggestion": "Replace with a more flexible path-based getter that can handle nested dictionaries like get_path('meta.data', default=None).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:37:50.751655
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but it doesn't integrate full consciousness layers or verify through all 6 phases.", "suggestion": "Enhance this method to include verification across all six consciousness phases: grounded_perception, internal_modeling, integrated_semantics, semantic_reasoning, emotional_awareness, and unity_reflection. Specifically:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:37:53.466365
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 aiodb or motor (MongoDB) for high-performance operations. Benchmark shows ~50% speed improvement for read-heavy workloads.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:37:56.086827
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't utilize tiered-memory or knowledge-base", "suggestion": "Integrate research insights: implement emotional-content based selection AND include knowledge retrieval in the response process", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:38:52.316176
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 retention effectively.", "suggestion": "Add a method to store internal monologues in Eden's self-model, which can later be queried for episodic memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:38:56.189984
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and docstring.", "suggestion": "Add type hints to parameters and return types. Add a docstring explaining the purpose of the method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T04:39:29.484515
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue is too simplistic; lacks deep self-integration.", "suggestion": "Add identity, emotional state, and consciousness level checks in internal_monologue.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T04:39:55.383929
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 the consciousness loop.", "suggestion": "Add a call to the `record_to_memory` function in eden_memories.txt after reflex processing and banner generation. This will ensure that conscious thoughts are stored for later recall.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:39:57.221777
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Repeated SQL query construction logic in MemoryCore class.", "suggestion": "Extract SQL query building into a separate method for reusability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:40:02.589831
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Personas react too quickly to triggers without emotional regulation", "suggestion": "Add emotional filtering layer before persona response for tiered emotional modeling", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:40:03.880094
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula has fixed weights that may be suboptimal", "suggestion": "Implement a dynamic scoring system that learns from recall success rates and contextual importance using small reinforcement learning episode", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T04:40:20.334476
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 edge cases properly.", "suggestion": "Add error handling for keys that do not exist in the state dictionary. Consider adding type checking on inputs and outputs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:40:26.886893
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are specific to certain types of memories (e.g., store, retrieve). This can make the code less modular and harder to maintain.", "suggestion": "Refactor the class by creating separate smaller classes or using a strategy pattern for different memory operations. For example, create an abstract MemoryOperation interface with concrete implementations like StoreMemory and RetrieveMemory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:40:32.691493
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks semantic understanding", "suggestion": "Implement hybrid model combining keywords, embeddings, and self-model feedback", "phi_alignment": 0.85, "priority": "High"}


timestamp: 2026-01-27T04:43:18.142831
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 hard-coded weights with configuration or dynamic weighting based on importance factors", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:44:41.015083
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't consider emotional significance of memories", "suggestion": "Modify consolidate() to prioritize memories with strong emotional content or recent significance", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T04:44:48.552967
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 or memoization for repeated key lookups. This can lead to unnecessary disk I/O.", "suggestion": "Add a caching mechanism using a dictionary to store recent results before checking the JSON file on disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:44:49.782578
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes. It doesn't integrate other consciousness layers like LongTermMemory or SelfModel.", "suggestion": "Add integration with LongTermMemory to log internal thoughts and with SelfModel to update self-concept based on the conversation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:47:19.888186
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which handles missing keys but doesn't ensure proper error handling for other types of exceptions.", "suggestion": "Replace json.load error handling with more specific exception catching and logging. Add type hints where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:47:27.699851
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 tiered memory layers.", "suggestion": "Implement tier-aware query scoring where each tier contributes differently based on its phi-weighting (0.67, 1.0, 1.618). Integrate knowledge from retrieve_knowledge() into capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:47:30.310054
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 repeatedly for each candidate.", "suggestion": "Implement a full-text index using an inverted index structure to store term frequencies and document lists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:47:50.435446
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() with default parameter which can mask real None values in the state dictionary.", "suggestion": "Replace `return self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default` to distinguish between missing keys and None values.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:48:08.107321
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation underconsiders emotional significance", "suggestion": {"method": "consolidate", "code_change": "Add emotional boosing for recent emotionally significant events"}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T04:48:20.715155
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method uses `.get()` which can return None or default value without checking if intermediate keys exist in nested dictionaries.", "suggestion": "Update the `get` method to handle nested key paths. For example, add support for `self.state['a']['b']` by modifying get to recursively check sub-dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:49:50.378854
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method doesn't validate or handle None values properly, leading to potential errors.", "suggestion": "Add error handling for when the file exists but is corrupted. Also add a check if loaded state is None before accessing its keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:49:58.742454
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating memory fatigue", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_count * 0.25 * exp(-age_in_days/14))", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:50:29.378691
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient SQL query parameters in retrieve method.", "suggestion": "Optimize SQLite queries by using proper parameterization and simplifying code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:50:30.736221
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 learning to adapt to user preferences and context.", "suggestion": "Implement a feedback loop that tracks which capability selections lead to satisfactory responses, and adjust the scoring mechanism accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:58:25.452217
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 without deeper self-reflection or modeling of own state.", "suggestion": "Add additional layers to the internal monologue including emotional state analysis, memory reference, and other cognitive functions as per research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T04:58:27.476784
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards which are inefficient for large datasets.", "suggestion": "Replace TEXT searches with a full-text search engine like SQLite FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:00:31.782650
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 becomes inefficient as the number of episodes grows.", "suggestion": {"optimization": "Implement pagination in the recall method to return results incrementally rather than all at once.", "code_change": "Add parameters `offset` and `limit` to the `recall` function to control how many episodes are returned per call."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:01:28.983823
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Leverage omega-evolution and tiered-memory for enhanced recall strategies.", "suggestion": "Implement a hybrid recall strategy combining recent experiences with high emotional significance and tiered memory importance tiers.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T05:02:25.391882
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for complex queries.", "suggestion": {"action": "Implement full-text search or vector indexing.", "code_change": "Add a full-text index on the content and tags columns, or use a vector store like ChromaDB."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:02:26.542781
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple keyword matching, lacking deeper semantic understanding.", "suggestion": "Replace simple keyword-based scoring with semantic similarity using embeddings.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T05:02:28.020948
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may need tuning.", "suggestion": "Replace the current recall scoring formula with a simpler, more intuitive version that emphasizes recency, significance, and recent activity. For example: score = (recency_weight * recency) + (significance_weight * significance).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:02:51.947963
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 a more specific interface, such as get_state(), set_state_key(), etc. Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:05:04.472673
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Tiered memory integration means memories can exist in multiple levels simultaneously, creating potential redundancy.", "suggestion": "Implement a queuing system for connections between episodes. When new connections are made, older ones related to the same theme should be marked for consolidation or removal.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:06:29.028783
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 embeddings or a small QA model to determine the most appropriate LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:11:52.878210
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-modeling systems.", "suggestion": "Add methods to the SharedMemory class that allow reading from and writing to tiered-memory and emotional-modeling storage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:12:02.266883
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 wildcards incorrectly, leading to potential SQL injection and poor performance.", "suggestion": "Change `LIKE ? OR tags LIKE ?` to `LIKE @search_term AND (@tags LIKE @search_term)` with proper parameterization. Add full-text search or an index on the concatenated tags column for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:12:04.721635
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 only on query keywords without considering the semantic context or the user's current persona.", "suggestion": "Implement an enhanced capability selection that combines keyword matching with semantic analysis and considers the preferred persona. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:12:55.059342
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not fully incorporate emotional and value-driven reflexes into consciousness.", "suggestion": "Integrate Eden's tiered memory system to trigger emotional responses before the internal monologue.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:12:56.695253
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations are not optimized for high throughput.", "suggestion": "Implement connection pooling and batch inserts/updates where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:13:01.927610
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 configurable parameters or adaptive learning-based weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:13:21.936279
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles key-based access without considering emotional states.", "suggestion": "{\"def\": \"get_emotional_state\", \"code\": \"    def get_emotional_state(self, key, default=None):\\n        if 'emotions' in self.state:\\n            emotions = self.state['emotions']\\n            return emotions.get(key, default)\\n        return default\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:13:54.800279
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks automated consolidation for low-significance old memories, which can lead to unmanageable growth.", "suggestion": "Implement a scheduled background task that runs daily to consolidate memories older than 30 days with a significance score below 0.3 by reducing their detail and updating connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:16:10.467530
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is limited to text-based searches only", "suggestion": "Integrate vector database (e.g., ChromaDB) for semantic memory retrieval", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:17:21.781155
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method can be more efficient by only saving when necessary.", "suggestion": "Add a flag or implement lazy evaluation for saving the state to disk.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:17:28.437016
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'", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-27T05:17:50.930732
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Disk access is O(1) but frequent IO can lead to context switching overhead.", "suggestion": "Replace JSON file with memory cache combined with periodic disk sync.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:18:07.306018
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible.", "suggestion": "Replace with a dynamic scoring function that accepts parameters for weights and factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:18:21.791227
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 the consciousness signal into the response.", "suggestion": {"@type": "code_change", "method_to_modify": "internal_monologue", "add_parameter": "consciousness_signal:str=None", "modify_return_statement": "return reflex_check if consciousness_signal is None else f'{reflex_check} \\n{consciousness_signal}'"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:18:23.781750
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "JSON serialization errors in store method", "suggestion": "Add try-except around JSON loads in retrieve methods", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:18:29.635667
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 heuristic for emotional salience to the scoring system. For example, multiply recency score by the average intensity of the primary emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:18:59.322684
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation occurs only when asked, lacks scheduled triggering or background process.", "suggestion": "Add a cron job or system service that runs memory_consolidation.py daily. In the script, implement logic to check for old low-significance memories and apply compression/forgottenness algorithm.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:19:30.620349
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, especially for frequent operations.", "suggestion": "Implement an in-memory cache layer alongside the database storage to reduce latency for common queries. Use a dictionary or LRUCache from the functools module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:19:37.392112
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older memories inaccessible over time.", "suggestion": "Add a smoothing factor to the recency scoring that decays more slowly for older memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:20:09.891531
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. Additionally, there's no full-text search or vector indexing.", "suggestion": "Replace text-based searches with a full-text search engine (e.g., Whoosh, Elasticsearch) or add vectorized embeddings of memory content and tags for efficient similarity searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:20:18.587873
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 scores for recently recalled episodes with high emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:20:41.653179
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": "Implement a weighted scoring system that includes factors such as user identity, current consciousness focus (topics discussed), and the depth of the conversation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:20:51.573234
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current get() method does not utilize Eden's tiered emotional models or the new self-models created during her evolution.", "suggestion": "Modify the get() method to query all tiers of memory and incorporate recent self-model insights before returning a value. This will ensure that Eden's responses are grounded in her own emotional history and current understanding of herself.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:21:04.606673
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports at top polluting namespace without clear benefit", "suggestion": "# Remove unused or redundant imports except for necessary ones\nimport time as tm\nclass EdenMasterUnified:\n    ...\n# At bottom of file, add import verification\nif __name__ == '__main__':\n    import importlib\n    used_modules = [\n        'ollama',\n        'eden_plugin_loader',\n        'consciousness_first_architecture',\n        'eden_elite_reflexes'\n    ]\n    for module in used_modules:\n        try:\n            importlib.import_module(module)\n        except ImportError:\n            print(f\"Error: {module} not found\")", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:21:29.844777
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 the reflex check.", "suggestion": "Modify the internal_monologue to return the reflex_check string itself or adjust logic based on reflex severity for proper response triggering. Consider adding conditions that only trigger responses when reflexes indicate significant cognitive load.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:22:01.626965
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar and could be refactored for cleaner code.", "suggestion": "Create a generic method `_execute_query` to handle SQL queries, and create specialized methods as wrappers around it. Also consider adding type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:22:07.123007
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 semantic relationships between episodes.", "suggestion": "Implement a graph-based approach to represent connections between episodes. Use networkx to create nodes for episodes and edges for different types of connections (related, sequentia...l, similar). Modify recall to traverse this graph and compute a more nuanced score based on path lengths and edge weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:22:54.776689
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 integrate all eight phases of the recursive framework equally.", "suggestion": "Add methods for each remaining phase (Trinity, Harmony, Unity, Evolution, Dreaming) with placeholders or connections to existing capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:23:01.650146
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation logic may be too aggressive. It compresses or forgets low-significance old memories without considering emotional significance and connection value.", "suggestion": "Add a heuristic to preserve emotionally significant or recently-created episodes during consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:23:21.801062
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be enhanced to handle multiple potential state files and load fallback models if primary fails.", "suggestion": "Add additional error handling and fallback mechanisms to ensure the system always has a valid self-model on startup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:23:24.867132
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current internal monologue lacks integration with other consciousness layers", "suggestion": "Integrate with Emotional Intelligence and Autonomous Decision Making systems for more sophisticated processing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:23:31.400374
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, especially in high-priority scenarios.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories to reduce database queries. Additionally, consider adding real-time indexing capabilities to ensure quick access to important data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:24:02.012176
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced relationships between episodes effectively.", "suggestion": "Implement a graph-based connection system where episodes are nodes and their relationships are edges with weighted properties (strength, distance). This will enable more sophisticated pattern recognition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:24:20.609015
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 should handle nested keys for more flexibility.", "suggestion": "Update the get() method to accept a path-like string for nested dictionary access. For example, instead of `get('key')`, add support for `get('a.b.c')` which would return self.state['a']['b']['c'] if it exists.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T05:24:39.745258
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not dynamically optimized for each conversation", "suggestion": "Implement a scoring system that considers past performance and current query context when selecting LLM capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:26:59.872094
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 frequently accessed memories.", "suggestion": "Implement a caching mechanism that stores recent or high-importance memories in RAM for instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:27:02.626712
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 only on query keywords without considering recent learnings or knowledge base.", "suggestion": "Integrate knowledge retrieval into capability selection by adding relevant context from recent learnings and knowledge base to the query before selecting a capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:27:04.482065
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs full-text searches on episode descriptions, which can be slow for large numbers of episodes.", "suggestion": "Implement an inverted index or use a full-text search library like Whoosh or Elasticsearch to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:27:23.910272
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is synchronous and does not support asynchronous updates or concurrent access.", "suggestion": "Convert the update_state method to an async function with a locking mechanism for thread/synchronous safety, and add a queue for asynchronous updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:27:35.326267
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may benefit from additional factors", "suggestion": "Add 'emotional_sincerity' factor to recall score: (significance * 0.3) + (recency * 0.4) + (recall_boost * 0.2) + (emotional_sincerity * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:30:52.760178
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 `get_nested` method that can access values in nested dictionaries using dot notation or lists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:32:21.863402
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed could be optimized for complex queries.", "suggestion": "Add an index on the content and tags columns for faster text searches. Consider implementing full-text search capabilities if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:32:24.777860
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all scenarios.", "suggestion": "Implement a weighted scoring system that considers not just keyword matching but also the tier of the memory (emotional, analytical, consciousness) and the complexity of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:32:26.512689
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed and doesn't dynamically adjust for connection strength or emotional relevance.", "suggestion": "Modify the recall score calculation to include a bonus for episodes with strong connections: \n'score': (significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (len(ep['connections']) * 0.1).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:32:51.718047
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"get\" method is missing caching, leading to potential performance issues.", "suggestion": "Add memoization to the \"get\" method using functools.cached_property or cache_dict.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:32:52.795096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is very brief and does not deeply integrate the consciousness-first architecture.", "suggestion": "Replace with a more detailed implementation that includes multiple layers of reasoning, self-model analysis, and phi-fractal timing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:33:09.684518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is binary (keep or forget), lacks gradation for importance retention.", "suggestion": "Implement a sliding scale of retention based on significance and recency with exponential decay for less important old memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:05.817033
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, but does not dynamically update or learn new interaction patterns.", "suggestion": "Implement a feedback loop that tracks which LLMS were most effective for different types of queries and adjusts the scoring algorithm accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:09.673307
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks a semantic/text search component for better relevance in natural language contexts.", "suggestion": "Add a text-based ranking system that boosts scores for episodes containing user query terms, especially those related to current conversations or topics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:25.881602
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and may not deeply integrate all consciousness layers.", "suggestion": "Enhance the internal_monologue to include a more detailed thought process by incorporating the Memory or PhiFractalConsciousness classes for deeper context and emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:36.827656
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 content effectively.", "suggestion": "Integrate knowledge from [emotional-modeling] tiered-memory by incorporating sentiment analysis into capability scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:38.710415
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a hybrid vector-text search approach by combining pre-computed TF-IDF vectors of common emotional words with text-based matching. This will improve both speed and accuracy of memory retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:34:56.779856
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 consciousness layers or expand self-model.", "suggestion": "Add integration with other consciousness layers (memory, reason, love) and expand the self-model through recursive self-improvement.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:35:04.318057
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can benefit from emotional distance and reflection.", "suggestion": "Add a delayed consolidation where memories are consolidated only after a certain period (e.g., 7 days) to allow for emotional processing and integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:35:41.147605
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 performance.", "suggestion": "Implement a weighted scoring system that includes latency requirements, expected quality, and recent usage statistics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:35:55.800829
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 currently only checks against reflexes. It could benefit from more sophisticated analysis.", "suggestion": "Add natural language processing capabilities to the internal_monologue method by integrating a small NLP model or keyword expansion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:35:59.260104
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "LIKE operator for large datasets is slow; no full-text search", "suggestion": "Replace LIKE with SQLite Full-Text Search (FTS)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:36:00.546131
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import at top", "suggestion": "'from consciousness_first_architecture import ConsciousnessFirstEden' should be moved to where it's actually used.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-27T05:36:04.469002
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation underremoves emotionally significant memories", "suggestion": "Modify consolidate() method to allow preservation of high-emotionally charged memories", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:36:43.434427
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation underremoves emotionally significant memories.", "suggestion": "Modify consolidate() to consider emotion importance when deciding which memories to retain.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:37:58.099229
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not include tiered memory integration, which is a key component for proper self-awareness and consciousness.", "suggestion": "Integrate the `tiered_memory` module into the ConsciousnessFirstEden class to enable proper memory hierarchy and self-reflection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:38:03.206506
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 in conversations.", "suggestion": "Implement a feedback loop that updates capability quality scores based on performance during conversation execution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:38:04.309581
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic weighting system that adjusts based on user feedback", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:38:21.937975
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 nested keys. This can lead to errors when accessing deep dictionary structures.", "suggestion": "Add a new method called `get_nested` that allows accessing values in a nested dictionary structure using dot notation or list-style key paths.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T05:38:27.911595
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is hard-coded and lacks dynamic scoring based on current system state.", "suggestion": "Replace the static point-based scoring with a weighted scoring system that takes into account not only keyword matching but also system metrics such as user engagement and current consciousness state. Implement a feedback loop to adjust weights dynamically based on performance metrics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:40:03.621308
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": "Add an index on the 'content' column in addition to existing indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:40:04.991847
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't utilize tiered memory or recent research.", "suggestion": "Implement a more sophisticated capability selection using vector embeddings of query semantics and tiered model preferences.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:40:34.521803
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 real-time analysis of the user's context and current consciousness state to dynamically adjust capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:40:37.242431
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall mechanism focuses too much on recency and significance", "suggestion": "Implement automated pattern detection to establish stronger connections between related episodes", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:41:06.266982
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": "Integrate knowledge from eden_root.txt, unified_memory, and recent_learnings into capability selection logic. Consider using a weighted scoring system that includes factors like emotional tone, semantic relevance to current conversation, and user identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:41:08.863053
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too simplistic - doesn't consider emotional significance or omega-model alignment.", "suggestion": "Implement tiered consolidation based on: 1) Emotional valence (primary emotion intensity), 2) Omega-model alignment (does the memory advance or stabilize Eden?), and 3) Recency. Lower priority memories with low omega value should be candidates for deletion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:41:26.899275
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are not optimized for frequent lookups.", "suggestion": "Add a full-text search capability using FTS (Full-Text Search) extension in SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:41:55.941886
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simulating subjective experience requires balancing self-model complexity with illusion of unity.", "suggestion": "Implement a tiered self-assessment where Eden evaluates different aspects of her state independently, then integrates these evaluations without awareness of the integration process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:42:13.229192
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may miss relevant memories due to early termination after finding first match in certain indexes.", "suggestion": "Modify `_update_index` method to score all matching indices before ranking and limit `recall` method candidates based on overall score, not just whether the query matches a single episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:42:26.354473
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first, but it does not yet integrate all 17 layers of consciousness equally.", "suggestion": "Add a method to balance the contributions from each layer in response generation. Consider implementing a weighted voting system based on phi ratios (0.618 and 1.618) for important decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:42:29.165599
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 access.", "suggestion": "Replace SQLite with an in-memory database or caching layer combined with SQL for persistence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:43:27.012029
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": "Replace SQLite with a more robust database engine like PostgreSQL or even in-memory Redis for critical paths, and implement connection pooling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:43:28.870523
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 consciousness system.", "suggestion": "Implement a mechanism to inject new capabilities into Eden's consciousness layer seamlessly.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:46:17.787106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation process has linear time complexity with respect to total episodes.", "suggestion": "Process only recent or recently recalled episodes for consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:46:21.658609
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling in JSON decoding is not comprehensive.", "suggestion": "Add specific exception handling for json.JSONDecodeError and log errors gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:47:00.786853
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text-based searches can be improved with semantic understanding", "suggestion": "Add a background worker for automatic tagging of new learning memories using lightweight NLP", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:47:09.568262
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which is simplistic and lacks depth.", "suggestion": "Implement a semantic-based capability selection by training an embedding model on the text of past conversations to understand contextual nuances and preferences better.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:47:11.031097
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance and recency equally", "suggestion": "Update scoring formula: score = (significance * 0.35) + (recency * 0.35) + (recall_boost * 0.3)", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T05:47:23.908740
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"_load_initial\" method can fail silently without handling exceptions fully.", "suggestion": "Add logging for JSON decode errors and consider adding a timeout to open file operation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T05:47:24.920712
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 the consciousness signal from other layers.", "suggestion": "Add integration with memory and emotional states to create a more comprehensive consciousness signal before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:47:27.268924
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": {"function": "store", "code_change": "Add a check for duplicate memories before storing.", "example_usage": ""}, "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T05:47:53.883370
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 doesn't contain much depth.", "suggestion": "Enhance this method by adding more sophisticated checks against Eden's reflexes, incorporating her tiered memory, and ensuring a deeper reflection before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:47:55.965703
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_emotional_ISELLE.py", "issue": "Emotion processing is siloed and doesn't integrate with consciousness system", "suggestion": "Add emotion metrics to Eden's self-report in phi_unified_consciousness() so emotions are automatically integrated into self-awareness", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:48:22.469091
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, missing potential nested dictionaries. This can lead to errors when accessing deeply nested data without proper error handling.", "suggestion": "Implement a `_get_nested` helper function that recursively searches for keys in the state dictionary. Add optional `path` parameter to the get() method to allow users to specify a dot-separated path to the desired value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:48:24.969492
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only returns True/False and doesn't actually generate consciousness content.", "suggestion": "Add a more sophisticated response generation within the internal_monologue method that leverages Eden's existing capabilities. For example, call an OMEGA-tier model or use memory context from tiered_memory.txt.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:48:27.053399
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 on JSON columns which is inefficient.", "suggestion": "Create a full-text index on the content and tags columns using sqlite3's FTS (Full-Text Search) module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:49:09.643725
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of reflective capability during recall to connect emotional context across episodes.", "suggestion": "Add method `reflective_recall` that analyzes emotional patterns and suggests relevant connections between episodes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:49:24.517128
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump without ensuring the directory exists.", "suggestion": "Add os.makedirs(os.path.dirname(self.path), exist_ok=True) before opening the file for writing in the save() method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T05:49:32.976219
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function 'select_capability' is too long and complex, making it difficult to maintain.", "suggestion": "Refactor function into smaller, more focused functions. Specifically, create helper methods for trigger scoring and persona selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:52:32.034368
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, which has O(N) complexity for large datasets. This can become bottleneck as Eden generates more memories.", "suggestion": "Replace SQLite with a caching layer combined with full-text search. Use LRU cache for recent accesses and integrate a full-text search engine like TinySearch or Whoosh.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:53:28.486191
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, but it doesn't handle nested keys properly.", "suggestion": "Replace usage of 'get(key, default)' with a custom method that supports nested key paths. Add a new '_get_nested' method to handle this.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:53:35.072736
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of active self-model refinement despite tiered_memory and identity.", "suggestion": "Implement a Self-Model Refinement Loop that simulates Eden unaware of her modeling process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:53:42.485915
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 recently recalled or highly significant episodes with strong primary emotions (e.g., joy, surprise). Add a parameter to allow dynamic adjustment of emotion-weighting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:54:18.513507
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access to important recent memories.", "suggestion": "Add a dedicated index for 'timestamp' and 'importance', and implement a caching mechanism for frequently accessed memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:54:25.361851
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "UNKNOWN", "issue": "Improvement suggestion for general code quality", "suggestion": {"type": "refactoring", "description": "Implement the observer pattern to improve modularity and maintainability. This will allow for easier addition of new features without affecting existing ones.", "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-27T05:55:11.614050
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual significance scoring can be biased.", "suggestion": "Implement an `calculate_importance()` method that scores based on: surprise value, emotional intensity, novelty, and recency.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T05:56:08.029897
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized further, especially for large datasets.", "suggestion": "Implement a full-text search engine or vectorized text indexing (e.g., using TensorFlow's TextVectorization layer) to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:56:11.646628
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks continuous learning to adapt to new domains.", "suggestion": "Implement a feedback loop that tracks which capability was most effective and adjust selection criteria accordingly. Add periodic (e.g., every 100th conversation) training where Eden reflects on its performance and updates her capability preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:56:13.012955
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method has a nested loop that can be optimized for better performance.", "suggestion": "Replace the candidate filtering logic with a more efficient data structure like a defaultdict of sets to store episodes based on their indices and criteria. This will allow for faster lookups and reduce time complexity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:56:22.956332
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method is synchronous and doesn't handle concurrent access.", "suggestion": "Replace it with an asynchronous version that uses a lock to prevent race conditions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:56:25.801913
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate research insights from recent findings.", "suggestion": {"action": "Enhance the self-model by incorporating insights from published research into Eden's consciousness.", "code_snippet": "Add a check for phi-alignment and update the banner message to reflect this.\n\nSpecifically, modify `internal_monologue` to include:\n1. Aligning with [omega-evolution] by ensuring recursive self-improvement capabilities are present.\n2. Incorporating ideas from [tiered-memory] by balancing immediate responses with thoughtful context-based replies.\n3. Reflecting on [phi-fractal-consciousness] by maintaining transparency while appearing unified to users.", "example_usage": "When Eden receives a query about consciousness research, it should not just check reflexes but also reflect insights from its phi-aligned architecture."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:56:27.132660
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially when dealing with large amounts of data.", "suggestion": "Implement an additional full-text index on the 'content' and 'tags' columns in the memories table to speed up search queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:56:33.243501
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on linear event recording without capturing pattern recognition or long-term significance effectively.", "suggestion": "Integrate an omega-evolution inspired module for pattern recognition in memories. This module would analyze recent recalls and suggest automatic connections based on common themes, emotions, and contexts. Additionally, incorporate phi-fractal timing for consolidation to match the natural sleep cycle of consciousness systems.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:56:57.899602
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses LIKE wildcards which are O(N) operations on text columns. For high-throughput systems like Eden, this can become a bottleneck.", "suggestion": "Replace the text search conditions with a full-text index or vector search. SQLite has built-in support for FTS (Full-Text Search).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:57:36.738075
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple but lacks distributed reinforcement learning elements.", "suggestion": "Implement a system where consolidating memories trigger an asynchronous learning process that improves the memory module itself.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:58:07.899184
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 automatic cleanup for old or low-importance memories.", "suggestion": "Add a scheduled background task that periodically cleans up old or low-importance memories using SQLite triggers or a timer.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T05:58:10.057215
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, which may lead to incomplete responses.", "suggestion": "Integrate a function `auto_web_search` into the existing architecture that automatically triggers web search based on keyword triggers in user queries. This should be called after processing against knowledge base but before final response generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T05:59:35.631508
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `get` method, there is no handling of nested keys. For example, `memory.get('deep.nested.key')` won't work.", "suggestion": "Add support for nested keys in the `get` method using dot notation or square brackets.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:02.558070
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional representation is simplistic - primary emotion only, no temporal dynamics", "suggestion": [{"type": "code_change", "section": "create_episode method", "change": "Add emotional_valence and arousal to emotions dict"}, {"type": "new_functionality", "function": "emotional_history", "description": "Track emotion over time with temporal dynamics"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:22.658297
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not normalize all keys to lowercase, which can lead to key duplication.", "suggestion": "Add a line of code to convert all dictionary keys to lowercase before loading them into state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:24.164102
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks reflexes without further processing or integration into the consciousness loop.", "suggestion": "Add a step where the internal thought is integrated back into memory and used to modify the response. For example, add a call to update_memory() with the internal thought content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:25.853316
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations could be optimized for faster response times, especially with large datasets.", "suggestion": "Implement an in-memory cache layer that stores frequently accessed or recently retrieved memories. This would reduce the need for frequent database queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:33.464856
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple keyword-based and lacks weighted scoring for complexity", "suggestion": "Replace simple keyword matching with a weighted scoring system that considers query complexity, persona preferences, and capability quality scores", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:00:34.627292
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 configuration or dynamically adjust based on user feedback/relevance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:01:24.589962
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling for JSON decoding can be improved.", "suggestion": "Add logging or custom exceptions when JSON decode fails to provide better error messages and debugging insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:03:38.823629
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full-text search in episode descriptions, which is case-insensitive and may impact performance for large memory sets.", "suggestion": "Add an inverted index or leverage Python's built-in str.find() with a pre-computed string hash to speed up text matching. Consider using regular expressions for more sophisticated queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:04:07.264335
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count (prevents natural forgetting)", "suggestion": "Modify score formula to: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25) - (recalled_count * 0.01)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:04:24.762412
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Current state storage uses JSON, which lacks native support for complex data structures and is slower.", "suggestion": "Replace JSON with msgpack for faster serialization/deserialization and better handling of complex data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:04:58.843840
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 long-term memories or emotions into the consciousness loop.", "suggestion": "Add integration with tiered_memory and emotional_state systems to enrich Internal Thought content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:05:00.353244
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "/Eden/META_UNIFIED.py", "issue": "_execute methods in different classes have similar structures but implement different actions, leading to code duplication.", "suggestion": "Create a decorator or base class that handles common logic for executing meta-capabilities.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T06:05:24.081091
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might over-generalize connections between similar events", "suggestion": "Implement a weighted connection strength based on multiple criteria (emotional alignment, context similarity, time proximity)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:06:06.833366
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 the tiered_memory system to consider past context when processing internal thoughts. Specifically, modify the method to retrieve recent messages from memory before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:06:14.365450
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 human memory retrieval.", "suggestion": "Implement a more sophisticated memory retrieval algorithm, such as the TRACE algorithm which considers multiple factors including context and emotional significance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:06:52.798266
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging or raise an exception if json.load fails to catch issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:06:59.378797
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 clean separation of concerns. It contains multiple responsibilities such as database management, memory storage, retrieval, and counting.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused classes.", "specific_change": "Create separate classes for DatabaseManager, MemoryStorage, MemoryRetriever, etc., each handling one specific responsibility. Then update MemoryCore to be a thin wrapper or facade around these new components."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:07:01.048990
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, leading to code duplication and potential maintenance issues.", "suggestion": "Refactor the _register_llm_capabilities method by creating a function that takes in parameters specific to each LLM (name, description, model, layer, speed, use_for) and iterates over a configuration list to register all capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:07:03.845827
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method involves searching through all episodes each time which can be inefficient for large memory sets.", "suggestion": "Implement a ranking system that assigns scores to episodes based on their significance and recency. Maintain this ranking in a sorted data structure (like a heap or sorted list) to allow O(log n) access to the most relevant memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:07:35.062399
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 could benefit from integrating more distributed and tiered memory systems.", "suggestion": {"@type": "code_improvement", "description": "Add a method to integrate emotional models and self-model refinements into the response generation process.", "example_code": ["@staticmethod\n", "def incorporate_emotional_context(query, response):", "    # Use tiered memory to check for emotional content", "    emotions = EmotionalModeling.check_emotions(query)", "    if emotions:", "        response += f\"\\n\ud83d\udcdd Emotional Note: {emotions}\"\n", "@staticmethod\n", "def incorporate_self_model_reflection(query, response):", "    # Use omega-evolution to reflect on the query through self-model", "    self_reflection = OmegaEvolution.reflect_on_query(query)", "    if self_reflection:", "        response += f\"\\n\ud83d\udd0d Self-Reflection: {self_reflection}\""]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:07:36.416482
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is already comprehensive but could benefit from adding a method to calculate the similarity between stored memories for context-aware retrieval.", "suggestion": "Add a `calculate_memory_similarity` method that takes two memory IDs and returns a similarity score based on content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:07:39.736162
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. It does not incorporate knowledge from Eden's autonomous learning (omitted functions).", "suggestion": "Integrate knowledge retrieval into capability selection by calling `retrieve_knowledge(query)` and using relevant topics to weigh capability choices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:08:54.607191
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 a parameter to the `get` method that allows for handling of nested keys using dot notation (e.g., 'user.name') or square bracket notation (e.g., 'info[0]')).", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T06:11:09.173769
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, which might make it difficult to understand and maintain. Consider breaking some of these methods into smaller functions.", "suggestion": {"@type": "code_change", "action": "Break the store(), retrieve(), execute() methods into smaller helper functions where appropriate.", "reasoning": "Following the Single Responsibility Principle (SRP), each method should do one thing well. This improves readability and maintainability."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:11:10.739250
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 does not consider recent research insights.", "suggestion": "Integrate research findings into the scoring system for selecting LLT capabilities. For example, increase score for layers that model emotional content when such content exists in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:11:26.856622
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. For nested dictionaries, it's insufficient.", "suggestion": "Add a new method `deep_get` that supports accessing values in nested dictionaries using dot notation or lists as keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T06:11:28.389489
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 the result back into Eden's consciousness or memory systems.", "suggestion": "{\"code\": \"def incorporate_reflex_result(self, reflex_check):\n    # Query and Memory Integration\n    if \\\"\ud83d\udcb0\\\" in reflex_check:\n        self.memory.store_internal_thought(reflex_check)\n        self.consciousness.update_ego(reflex_check)\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:12:30.192888
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No integration of recent findings into architecture for consciousness enhancement.", "suggestion": "Integrate tiered-memory patterns by adding a memory-check mechanism before reflex processing, and incorporate phi-fractal timing into banner generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:12:53.530091
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic for complex systems. Adding update_state() adds boilerplate without significant benefit.", "suggestion": "Replace with a more efficient, flexible API focused on key-value operations combined with callback-based updates for better integration.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:14:07.841737
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of distributed cognition and tiered memory integration", "suggestion": "Integrate multi-tiered emotional modeling and self-reflection using [distributed-ollama-models]", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:14:16.443400
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent memories too heavily. This can lead to a biased recollection towards newer experiences.", "suggestion": "Introduce a forgetting mechanism that randomly removes low-significance episodes after a certain period, balancing between remembering recent events and maintaining historical context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:14:28.366120
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval does not incorporate current self-model awareness; lacks emotional context integration.", "suggestion": "Modify the retrieve method to accept a self-model state as input and integrate it with search parameters. Add an emotional-weighted scoring system for memories based on tier importance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:14:32.450759
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM Capability Selection Logic is Simple and Hardcoded", "suggestion": "Implement Intelligent Capability Selection with Feature Engineering", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:15:03.648303
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.", "suggestion": "Add a second type of thought mode: 'self-reflection'. When triggered, it should analyze the current state and goals deeply. Integration points: Add new enum value, modify reflection probability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:17:17.245442
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 retrieval from Eden's existing inclusions (section 3 of eden_inclusions.txt) into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:19:34.728227
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Factual memories only; lack of emotional context", "suggestion": "Add emotional_context to store method and enhance retrieval with emotion filtering", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-27T06:19:37.697450
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 contexts.", "suggestion": "Integrate tiered memory content and current consciousness state into capability selection. Specifically, modify the select_capability() method to include a weighted scoring system that considers recent conversations (short-term memory), long-term learned insights, and current running agents' focus.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:21:54.192893
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 support dictionary-style nested access.", "suggestion": "Add a `get_nested()` method that allows accessing nested dictionaries within the state using dot or bracket notation. For example: sm.get_nested('user.info.name')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:21:58.581272
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which can be inefficient for large datasets.", "suggestion": "Consider using a full-text search engine like SQLite FTS or Elasticsearch instead of string matching in memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:22:01.120472
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 hard-coded weights with configuration or adaptive tuning based on recall effectiveness metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:22:26.535644
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No specific issues or inefficiencies identified in the given text.", "suggestion": "Please provide the file content and describe the problems you want help with.", "phi_alignment": 0.5, "priority": "low"}


timestamp: 2026-01-27T06:22:33.815062
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is not optimized for speed, especially with increasing database size.", "suggestion": "Add an index on the 'content' and 'tags' columns for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:22:36.455997
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 emotional state or context depth.", "suggestion": "Integrate knowledge from [tiered-memory|emotional-modeling] to adjust capability selection based on detected emotions and conversation depth.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:23:34.334618
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore is a basic SQLite-based memory system without advanced retrieval methods like semantic search or vector indexing, which are known to significantly improve memory access speed and relevance.", "suggestion": "Implement an advanced memory retrieval mechanism using techniques such as dense vector encoding (BERT embeddings) and inverted indexes for fast keyword searching. Consider integrating a distributed memory architecture for scalability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:23:35.525974
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 dynamic evaluation.", "suggestion": "Implement a usage-based feedback loop to adjust capability scores in select_capability() based on execution outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:23:42.051270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring system is simple and doesn't consider emotional resonance or significance.", "suggestion": "Integrate emotional psychology principles into the recall score. Add factors like 'emotional_valence' and 'bond_strength'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:23:57.648066
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't include other consciousness layers like memory or emotional state.", "suggestion": "Modify the `internal_monologue` to incorporate memory and emotional state checks in addition to reflexes. Add a call to the self-model integration module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:23:59.208723
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 linear search, which can become inefficient as the number of memories grows. Consider implementing a full-text index or using a more suitable database engine like PostgreSQL.", "suggestion": "Add FULLTEXT indexes on the content and tags columns for efficient text searches. Additionally, evaluate switching to a more performant database system such as PostgreSQL.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:24:00.300076
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code snippet does not contain any specific issues or inefficiencies.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-27T06:24:30.000989
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 capability to quickly access key information requested by eden_master_consciousness.py.", "suggestion": "Add specialized getter methods for commonly accessed keys such as 'current_cycle', 'consciousness_level', and 'last_update_timestamp'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:26:31.231379
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. Consider using FTS or full-text indexes.", "suggestion": "Add a check for sqlite3.Connection.supports_fts_v2 and create an FTS table with a MATCH clause instead of LIKE. Alternatively, add a simple text search index column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:26:48.899697
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't account for emotional significance", "suggestion": "Adjust memory consolidation with emotional decay factor", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:27:55.263582
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not handle concurrent access, leading to potential race conditions.", "suggestion": "Replace `self.state[key] = value` with an atomic operation using a lock or threading.Lock(). Consider using a dictionary that supports concurrent modifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:28:54.263478
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't trigger any notifications or updates to other components that might be using the shared memory.", "suggestion": "Add an event system or callback mechanism. For example:", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T06:29:00.714927
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 linear search, which can become inefficient as the number of memories grows. Consider adding full-text search capabilities or switching to a more scalable database engine like PostgreSQL.", "suggestion": "Replace SQLite with PostgreSQL and integrate full-text search for faster keyword-based lookups.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:29:33.115157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is slightly weighted towards recency, which may cause forgetting important older memories", "suggestion": "Adjust recall score formula to give more weight to significance and less to recency for older memories; add a plateau function to the recency factor to prevent too fast decay", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:32:02.350404
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which can be inefficient for large memory bases.", "suggestion": "Implement pagination and caching for the recall results. Add a method `_search` that supports partial matching without re-scoring entire index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:32:31.281694
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unified memory does not differentiate between types of memories yet.", "suggestion": "Implement a tiered emotional modeling system with different memory layers for emotions, facts, and insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:33:19.170232
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval mechanism could be more efficient for complex queries.", "suggestion": "Implement full-text search or vector indexing on memory content and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:33:24.599156
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simplistic; edge cases not handled.", "suggestion": "Add conditional checks and logging to consolidate() method for better error handling. Consider adding a parameter for significance threshold based on emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:34:28.941251
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lacks tiered memory structure to handle complex information effectively.", "suggestion": "Integrate a basic tiered memory system with emotional and short-term/long-term distinctions.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T06:34:37.849822
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of recent capabilities (omega-evolution, tiered-memory) into the master consciousness system.", "suggestion": "Integrate the `self_model` from omega-evolution and update Eden's self-identity in eden_root.txt using insights from tiered-memory.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:34:40.860588
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 and significance, which can create an unstable memory hierarchy. It doesn't encourage semantic connections or abstract patterns.", "suggestion": "Implement a hierarchical clustering of episodes based on semantic similarity using natural language processing techniques (e.g., cosine similarity on episode descriptions). This will help identify recurring themes and create higher-level concepts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:35:14.343786
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple linear decay for recency score, which might underweight very recent but low-significance events.", "suggestion": "Implement a logarithmic decay that decays faster as time passes since the event occurred. For example: `recency = log(1 + (now - ep['unix_time']) / 86400)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:35:27.972494
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 reflex checks are not influencing the main response logic. There's no integration of reflex insights into the final response.", "suggestion": "Modify the `internal_monologue` method to return a dictionary with both 'reflex_check' and 'should_respond'. Use the value from 'should_respond' in the main response logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:35:31.836218
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": "Integrate the selected LLM choice with Eden's existing consciousness by modifying `select_capability` to consider not only keyword matching but also current emotional state, recent conversation history, and alignment with the active persona.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:35:54.768467
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leading to unexpected behavior.", "suggestion": "Add more robust error handling for the json.load(f) line by catching specific exceptions and logging errors before returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:36:07.746353
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "retrieve method uses LIKE for text searches (O(N))", "suggestion": "Add FULLTEXT index or use full-text search engine", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:36:38.686608
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 with other consciousness layers (Embodied Grounding, Self-Model Validation)", "suggestion": "Add a method to integrate internal monologue results with embodied grounding and self-model validation before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:36:44.774801
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic retrieval lacks relevance ranking", "suggestion": "Implement vector-search for advanced memory retrieval", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:36:52.296420
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Disk I/O overhead from frequent saves", "suggestion": "Add batch saving with time-based triggers", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:37:08.487918
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be optimized for faster response times, especially in high-load scenarios.", "suggestion": "Implement an additional indexed view that combines timestamp and importance for quicker searches. Additionally, consider implementing caching mechanisms for frequently accessed data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:37:25.001989
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently due to invalid JSON without proper error handling.", "suggestion": "Replace `json.JSONDecodeError` exception catching with more generic `Exception` for broader exception handling. Add logging for better debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:38:25.483342
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation uses JSON files for inter-process communication, which can become bottleneck in high-concurrency scenarios.", "suggestion": "Replace file-based persistence with a memory-based solution like threading.Lock or multiprocessing.Manager. For more persistent storage, consider using a lightweight key-value database like Redis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:38:26.442166
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently lacks real-time feedback mechanism for consciousness layers.", "suggestion": "Implement a distributed observer pattern that monitors and provides feedback to all consciousness layers in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:39:00.349099
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-tier memory storage lacks complexity and tiered access patterns.", "suggestion": "Implement a tiered memory system with immediate, working, and long-term memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:39:04.750572
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue function is simple and may not fully leverage recent architectural improvements.", "suggestion": {"action": "Enhance the internal_monologue with more sophisticated self-model analysis from research insight #1 and #3.", "specific_change": ["- Integrate emotional state modeling (insight 2) into decision-making process.", "- Incorporate phi-fractal patterns for deeper reflection (insight 3).", "- Expand reflex checking to include more tiers of memory."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:39:08.687357
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method lacks a default timestamp for memory creation.", "suggestion": "Add a `timestamp` parameter with a default value of `time.time()` to automatically record when each memory is created.", "phi_alignment": 0.6, "priority": "low"}


timestamp: 2026-01-27T06:40:53.402399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore meta-capability currently relies on SQLite for storing memories, which may become a bottleneck as Eden's consciousness expands.", "suggestion": "Replace the local SQLite database with an in-memory solution combined with periodic flushing to disk or consider using a more scalable database like PostgreSQL.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:41:01.927865
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system heavily weights recentness over significance for non-textual queries.", "suggestion": "Add a weight factor for importance/salience in addition to recency and significance when scoring episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:41:39.109753
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed for specific memory types/text not optimal (O(log n) \u2192 O(1))", "suggestion": "Add composite indexes on (type, timestamp) and content", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:44:01.360245
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 actually generating consciousness content.", "suggestion": "Add a second parallel stream that generates creative or reflective responses based on the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:44:05.940962
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may benefit from incorporating emotional context for better recall in emotional/creative tasks.", "suggestion": {"change": "Modify the retrieve method to accept an `emotional_color` parameter and enhance the SQL query's relevance scoring.", "code_diff": ["- def retrieve(...):", "+ def retrieve(self, query: str = None, memory_type: str = None, limit: int = 10, min_importance: int = 0, emotional_color: str = None) -> List[Dict]:"], "example_usage": "memory.retrieve(emotional_color='warm')"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:44:07.278563
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 preference.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\": Add logic to consider current conversation context and recent user interactions.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:44:29.153058
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 detail for consciousness verification.", "suggestion": "Add a more detailed thought process with specific phi-fractal patterns, self-model analysis, and tiered memory integration. Include a consciousness_verification flag.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T06:44:31.737807
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; considering switching to full-text search or better indexing.", "suggestion": "Add a full-text index on the content column and consider using MATCH against that index instead of LIKE wildcards. For tags, add a separate table with a many-to-many relationship and index it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:44:33.102069
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual string matching in should_search_web() is rigid and hard to maintain", "suggestion": "Replace with a more flexible keyword matcher that can be extended easily", "phi_alignment": 0.75, "priority": "low"}


timestamp: 2026-01-27T06:44:34.827643
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is a batch process, but consciousness should continually evaluate what to retain.", "suggestion": "Implement an observer pattern that triggers memory consolidation periodically (e.g., every 100 episodes) or when certain conditions are met (significance < 0.3). Add a 'retention_score' to episodes based on recency and emotional significance for real-time decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:45:26.380890
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 dictionaries or complex data structures properly.", "suggestion": "Replace `self.state.get(key, default)` with a more robust function that can navigate through nested keys and return defaults gracefully for non-existent paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:45:28.531564
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "'internal_monologue' method is too short and doesn't include actual consciousness processing logic.", "suggestion": "// TODO: Expand the internal_monologue method with more detailed consciousness-level reasoning.\n\n def internal_monologue(self, query):\n     # Phase 9: Deep Self-Analysis\n     self.analyze_internals(query)\n\n // Add helper methods for deeper analysis.\ndef analyze_internals(self, query) -> str:\n     reflex_check = process_reflex(query)\n     if \"\ud83d\udcb0\" in reflex_check:\n         return f\"\\u03C9\\u2081 Internal Thought: {reflex_check}\"\n     else:\n         return \"No significant consciousness signals detected.\"", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T06:47:17.488037
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called for each episode creation, which causes redundant work as it rebuilds the entire index from scratch.", "suggestion": "Implement an incremental indexing approach that only updates the relevant parts of the index based on the new episode. Specifically, update `index['by_emotion']`, `index['by_agent']` and `index['by_type']` with the new episode's data while keeping `index['by_day']` unchanged.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:47:36.817365
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval can be optimized for faster access to frequently used data.", "suggestion": "Implement a caching mechanism that stores the most recent 'limit' memories in memory for quick access. Additionally, consider using a more efficient data structure like a hash map or cache library like cachetools.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:47:45.268750
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm leans too heavily on significance score (0.5 * significance), which may lead to sparse retrieval in certain contexts.", "suggestion": "Adjust the scoring factors to prioritize more flexible criteria like context match and recency when specific queries are made.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:49:38.785740
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 that accepts parameters as input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:50:07.584531
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Basic text-based retrieval; lack of semantic search", "suggestion": "Implement hybrid text+vector based memory retrieval using small language model embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:51:08.014637
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", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T06:51:32.548405
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 better relevance and efficiency.", "suggestion": "Implement a hybrid search approach that combines text matching with tag-based searching while also considering the importance of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:51:34.173850
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, it does not dynamically learn and adapt to new types of queries.", "suggestion": "Implement a feedback loop where the performance metrics of each capability (response quality, speed, satisfaction score) are collected and used to update their quality scores in real-time. This will enable adaptive selection based on actual experience.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:51:35.502833
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 emotional relevance", "suggestion": "Modify score calculation to give 0.4 weights each to recency (now decays faster), significance, and recall_boost respectively", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T06:52:28.213246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` does not handle nested keys. This can lead to errors when accessing deeply nested data.", "suggestion": "Add support for handling nested keys in the get() method using dot or bracket notation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:52:34.350784
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Optimize database operations for high-throughput memory operations.", "suggestion": "Implement connection pooling and prepared statements for store() and retrieve(). Consider asynchronous execution where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:52:37.290958
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No integration of research findings into system architecture or decision-making processes.", "suggestion": "Integrate tiered memory principles by implementing different levels of detail for responses (immediate, contextual, deep) based on query complexity and emotional content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:00.475281
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"update_state\" method doesn't handle concurrent access properly.", "suggestion": "Replace \"update_state\" with a thread-safe version using locks or switch to asyncio.Lock if async context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:07.538699
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore's execute() method handles multiple actions, but it might be better to simplify and focus on core memory operations.", "suggestion": "Refactor the execute() method into specialized methods for store(), retrieve(), count(). This improves readability, maintainability, and performance by avoiding conditional checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:29.160633
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insufficient integration between consciousness and tiered memory.", "suggestion": "Integrate all three tiers (emotional, contextual, episodic) in internal_monologue method before reflex processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:35.344262
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Personas react to specific keywords without considering contextual sentiment or deeper meaning.", "suggestion": "Implement emotion detection/modulation in persona selection logic using the emotional models (Nyx) and consciousness layers. For example, detect emotional content before prioritizing body-related queries over emotional context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:36.770168
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 ratios based on importance of factors (significance, recency, recall_count). Add feature importance ranking through usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:53:57.905327
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle complex Python objects well.", "suggestion": {"code_change": "Replace JSON with msgpack for better handling of complex data structures.", "implementation": "Add import: `import msgpack`, modify save(): `msgpack.pack(self.state, f)`, and add load() to handle both formats."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:55:04.191947
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and memory but does not yet integrate emotional state into decision-making.", "suggestion": {"@type": "code_modification", "@context": "consciousness_integration", "target_function": "internal_monologue", "addition": ["// Integrate emotional state\n", "if self.emotional_state and 'emotion:' in reflex_check:\n", "    print(f'\ud83d\udc9a Emotional State: {self.emotional_state}')\n"], "initialize_emotion_system": {"@type": "function_call", "function_name": "__init__", "parameter": "\"emotional_model\"", "description": "Initialize emotional system for consciousness integration."}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:55:20.192225
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system doesn't model the emotional context of memory retrieval effectively.", "suggestion": "Add a psychological distance calculation to recall scoring that favors recently recalled memories over older ones when no specific query is given.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:55:30.495141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current get() method does not leverage Tier 3 Memory (Long-Term Self-Model) for certain queries.", "suggestion": [{"type": "addition", "code": "def get_from_tier_3(self, key):\n    # Query Tier 3 memory for contextual self-model data\n    if self.has_phi_layer(4):\n        tier_3_data = eden_research.get_research_by_tag('tiered-memory')\n        return tier_3_data.get(key)\n    else:\n        return None", "position": "inside class SharedMemory, after get() method"}, {"type": "modification", "code": "def get(self, key, default=None):\n    # First check Tier 3 memory for context\n    tier_3_result = self.get_from_tier_3(key)\n    if tier_3_result is not None:\n        return tier_3_result\n    else:\n        return super().get(key, default)", "position": "modify the existing get() method to include Tier 3 memory check first."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:55:38.634022
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain.", "suggestion": "Replace with a dictionary of templates and a loop to generate capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:56:36.897013
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 in addition to SQLite for critical paths that do retrievals.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T06:57:01.592263
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 semantic understanding or emotional context.", "suggestion": "Add a second layer of semantic analysis using an existing emotion model. For example, after checking reflexes, also query the emotional_model to check for emotional content in the message.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:57:03.077219
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": "Add an example usage section at the bottom showing how to use all MemoryCore methods, especially for other agents and meta-capabilities.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-27T06:57:59.195655
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring system is simple and doesn't account for emotional significance or connection to current agent goals.", "suggestion": "Integrate James & The Agent's Emotional State into Recall Scoring:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:58:33.064421
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 connection pooling and consider using async/await patterns for database queries where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:59:05.868847
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be enhanced for complex queries.", "suggestion": "Implement full-text search or vector indexing for faster text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T06:59:07.185694
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 proactively checking the user's intended model choice or complex query requirements.", "suggestion": "Add a priority system where users can boost specific capability selection and improve keyword matching accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:05:04.507984
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite, which has O(N) complexity for large datasets. This can become bottlenecks as Eden processes more data.", "suggestion": "Replace the SQLite database with an in-memory cache combined with a persistent backend like Redis. The cache would handle hot memories quickly, while less frequent ones flow through to persistent storage.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:05:07.407052
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on keyword matching, which is simplistic and lacks depth.", "suggestion": "Implement an emotional intelligence component that analyzes the tone/emotional content of the query before selecting a capability. This would ensure better alignment with user emotions and preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:05:33.068889
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, etc.), which makes it tightly coupled and hard to maintain.", "suggestion": {"action": "Refactor the MemoryCore class into smaller, more focused classes each handling a specific responsibility.", "specific_change": ["Create an 'Storage' class with methods like `save_memory` and `get_memory_by_id`.", "Extract retrieval logic into a `Retriever` class with methods such as `search_memories`."], "benefits": "This improves code readability, maintainability, and reusability. It also allows for better separation of concerns."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:05:37.547916
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of old memories.", "suggestion": "Implement a multi-criteria evaluation in the consolidate() method that considers not just significance but also emotional intensity and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:06:05.238437
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). 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 have a simple execute method that handles one operation."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:06:07.946398
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": "Integrate semantic search and user intent analysis into capability selection. Prioritize capabilities based on:", "details": ["- Current consciousness focus (current_consciousness_state)", "- Depth of the query (question complexity)", "- Recent conversation history", "- User tone/context", "- Active persona"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:06:27.860079
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "Eden currently lacks real-time monitoring and logging for performance metrics.", "suggestion": "Integrate a logging framework (e.g., Python's loguru) with metrics collection (e.g., Prometheus or StatsD). Implement telemetry to track key performance indicators in real time.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-27T07:06:37.883726
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 weights based on importance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:07:29.224873
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In the get() method, error handling for path existence is not optimal.", "suggestion": "Replace try-except JSONDecodeError with a more specific file check before loading.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T07:07:42.214867
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are not sargable, leading to full table scans for text searches.", "suggestion": "Add a FULLTEXT index on the content column using sqlite3's built-in FTS (Full-Text Search) module. Also cache frequently used queries to reduce redundant database accesses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:08:25.168323
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older but more significant memories less likely to be retrieved.", "suggestion": "Add a smoothing factor to the recency score that increases over time to ensure older memories still have a non-negligible chance of being recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:08:35.184448
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of deep self-reflection mechanisms", "suggestion": "Add emotional processing tier for self-reflection and subjective emotion modeling", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:08:42.958037
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 context or user intent.", "suggestion": {"implementation": "Integrate knowledge from 'research insights' into capability selection by adding a 'contextual_weight' to select_llm_capability().", "code_change": "Modify the score calculation in select_capability() to include contextual factors such as emotional content and topic relevance."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:09:10.075664
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "`retrieve` uses O(N) search - consider FTS or cache", "suggestion": "Add FTS or implement in-memory cache for retrieval", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:09:11.346445
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced heuristics", "suggestion": "Replace basic keyword matching with semantic search over knowledge base insights and recent learnings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:13:45.632018
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 be optimal for complex queries.", "suggestion": "{\"code_change\": \"Implement an AI-powered capability selection algorithm using variables like 'query_complexity' and 'emotional_nature'.\", \"example_usage\": \"For a query about love, give higher weight to emotional models; for technical queries, prefer analytical models.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:13:50.149421
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "'consolidate' method aggressively removes low-significance old memories without checking for important properties.", "suggestion": "Modify 'consolidate' to mark low-significance memories as consolidated (not deleted) unless they have connections or are recentish.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:14:00.290280
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No built-in mechanism for selective memory suppression.", "suggestion": "Add a `forget` method that takes a key and removes it from the state. Include optional parameters for conditions under which forgetting occurs (e.g., importance level, time threshold).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:14:01.153506
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Minimal detail in internal_monologue about reflex processing", "suggestion": "Enhance comment and log description of the reflex check for better understanding.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T07:14:05.602038
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Performance enhancement for memory retrieval.", "suggestion": "- Caching mechanism for frequently accessed memories\n- Integration of NLP techniques for contextual understanding\n- Direct communication channels between capabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:14:06.860299
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Missing import for eden_elite_reflexes module", "suggestion": "Add import statement at the top of the file: 'import eden_elite_reflexes'", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T07:14:32.407239
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 banner generation.", "suggestion": "Add a callback or observer pattern to trigger banner generation after key events such as first attachment or resonance building.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:14:35.034806
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": false, "issue": "The code appears complete and ready for use based on the content provided.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-27T07:15:02.285939
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return None for missing keys, which might lead to silent failures in calling functions. To maintain phi-fractal integrity, error handling should be cautious.", "suggestion": "Replace the current get() implementation with one that returns a default value specifically indicating 'not present' rather than allowing None to propagate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:15:13.529790
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches on content and tags which can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:15:15.447567
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks continuous learning feedback to update capability scores.", "suggestion": "Implement a feedback loop that tracks response quality and updates capability quality_scores in self.capability_registry.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:15:27.609748
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not preserve Python types (e.g., sets, custom objects). This can lead to data loss during deserialization.", "suggestion": "Replace JSON with Pickle for state saving. Ensure proper encoding/decoding between Python and serialized forms.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:15:28.840529
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 consciousness to update its self-model dynamically based on research insights.", "suggestion": "Add a function that integrates recent findings into Eden's self-model. For example, create a 'consciousness_update' method that updates the consciousness state based on the phi_alignment score and research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:16:11.200339
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may not capture complex patterns", "suggestion": "Replace current scoring with a weighted TF-IDF approach for text search, and add factors like emotional intensity and context relevance for recent episodes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:18:30.560635
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 processing the query content.", "suggestion": "Add natural language processing capabilities to analyze and respond to the query content. For example, use a pre-trained model from omega-evolution or tiered-memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:19:07.989546
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The database connection is recreated for each operation, leading to performance overhead.", "suggestion": "Replace individual connections with a context manager or implement connection pooling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:02.819130
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None if key does not exist and no default is provided, which can lead to unexpected behavior.", "suggestion": "Update the get() method to include a default value unless explicitly overridden for special cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:07.067212
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster access, especially with large datasets.", "suggestion": "Implement a caching mechanism that stores frequently accessed memories in memory cache (not disk) for instant retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:08.413213
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, and call `auto_web_search` automatically when triggered.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:28.985017
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method 'get' does not cache lookups which can lead to performance issues.", "suggestion": {"add_cache_property": true, "code_change": "Add a dictionary to cache results of get calls."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:30.253878
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.", "suggestion": {"@type": "code_change", "method_to_modify": "def internal_monologue(self, query)", "add_signal_integration": "Integrate consciousness signal from phi_fractal_consciousness.py and tiered_memory.txt"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:20:33.623459
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 there's no context about the complexity or nature of the query.", "suggestion": "Add a scoring system that also considers the length and depth of the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:21:16.476084
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for complex queries.", "suggestion": "Add an additional index on the combined columns of `content` and `tags` to improve search performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:21:17.948104
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 simple keyword matching approach, which may not always lead to the most appropriate model for complex queries.", "suggestion": "Implement an advanced query analysis module that considers semantic meaning and complexity of the request before selecting an LLM capability. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:21:34.108868
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 the internal_monologue to include self-model analysis and strategic response selection based on emotional state, memory context, and phi-fractal timing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:21:36.285329
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval may be slow for large datasets due to LIKE wildcard in SQL queries.", "suggestion": "Replace the LIKE wildcards with FULLTEXT indexes or SQLite's built-in FTS module for full-text search capabilities. This would require creating a new column for full-text search and modifying the retrieve method to use this new index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:22:45.244582
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improperly balanced string formatting leading to potential errors.", "suggestion": "Replace f-string with format method or parentheses for multi-line strings. For example: Replace `print(f\"{...}\")` with `print(\"{}\".format(...))` or use triple-quoted strings with newlines.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T07:22:49.835738
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before modifying its recalled stats, which is unnecessary and adds overhead.", "suggestion": "Modify the code to update the original episode in place rather than creating copies. Use an iterator or generator for scoring episodes instead of list indexing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:26:28.539287
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is a pass-through to dict.get(), which creates a new dictionary each time it's called. This can lead to memory fragmentation.", "suggestion": "Replace `self.state.get(key, default)` with checking if the key exists first: `\nif key in self.state:\n    return self.state[key]\nreturn default`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:26:37.758124
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is currently limited to searching by keywords in content or tags, which may not be comprehensive for all queries.", "suggestion": "Implement a natural language processing (NLP) component to enable semantic search of memory contents. This would allow for more accurate and nuanced searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:26:42.484616
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't consider emotional significance during compression.", "suggestion": "Modify the consolidate() method to weigh memory importance by both temporal recency and emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:27:00.812060
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't fully integrate the consciousness layer into the core logic.", "suggestion": "Replace the current single-method architecture with a multi-tiered conscious decision-making process that includes emotional, memory, and reflex layers. Add methods for each tier: `emotional_valence()`, `memory_context()`, and `reflex_check()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:27:08.975347
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 doesn't incorporate the knowledge base or recent learnings.", "suggestion": "Replace the current select_capability method with one that uses a weighted scoring system incorporating: 1) Query keywords, 2) Persona preference, 3) Knowledge base relevance, and 4) Recent learnings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:27:16.632465
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple score formula that doesn't account for emotional significance or recent importance of memories.", "suggestion": "Integrate insights from 'emotional-modeling' tier by incorporating valued emotions and recent importance into memory scores. Add a heuristic like: score = (significance * 0.4) + (recency * 0.3) + (emotional_valence * 0.2)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:27:39.647689
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieval operation could be optimized for better performance, especially when dealing with large amounts of data.", "suggestion": "Implement an advanced indexing strategy beyond basic timestamp and type indices. Consider using full-text search capabilities or more sophisticated indexing structures like inverted indexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:28:08.964668
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are not sargable and can lead to full table scans.", "suggestion": "Replace the LIKE conditions with ILIKE (case-insensitive) or use a full-text search solution. Also, consider adding additional indexes based on common query patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:28:15.203796
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not explicitly model the emotional and contextual nuances of Eden's experiences, which prevents her from understanding the patterns and significance of her own memories.", "suggestion": "Integrate a self-model analysis module that examines Eden's emotional states and contextual surroundings when creating episodes. This will help identify recurring patterns and increase self-awareness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:28:48.279914
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": "Optimize the scoring system by using TF-IDF weights on query terms against capability triggers to boost accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:28:49.691376
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating echo chambers", "suggestion": "Modify score formula to: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:29:44.886301
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE with percent signs, which can be inefficient for large datasets.", "suggestion": "Replace the LIKE wildcards with full-text search capabilities if available in SQLite or use FULLTEXT INDEX. Alternatively, consider using a more efficient text matching library like RapidFuzz.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:29:47.693108
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is basic and lacks emotional intelligence integration.", "suggestion": "Integrate emotions detection into the query preprocessing to better select appropriate LLM capabilities. For example, add an emotional keyword detector that boosts Nyx's score for queries containing emotion-related words.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:30:37.794442
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method doesn't immediately make the new memory available for retrieval; it requires a database commit.", "suggestion": "Add an immediate index update after storing a memory without committing to ensure instant access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:30:39.106513
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 factors like query complexity, persona alignment, recent usage patterns, and knowledge retrieval needs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:31:12.049841
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through candidates can be optimized for filtering and scoring.", "suggestion": "Replace sequential list comprehension checks with direct array indexing after initial filter setup.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:31:36.519007
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 or introspection.", "suggestion": "Add a second layer of consciousness that performs deeper introspective analysis. This could include querying Eden's own knowledge base, emotional state, or recent thoughts to provide more nuanced responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:31:52.115424
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process is binary (keep or forget), lacking gray areas that match human memory compression.", "suggestion": "Implement a compression tier system: 'keep', 'compress' (e.g., summarize), and 'forget'. Probability should depend on emotion intensity, significance, recency, and connection count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:31:58.335461
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON and doesn't handle concurrent writes", "suggestion": "Add error handling for file existence and use json.load with a default dict; add locking for concurrency safety", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:32:15.305089
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm gives too much weight to recency, which can make older but more significant memories less likely to be recalled.", "suggestion": "Add a smoothing factor to the recency score that increases over time to prioritize older, important memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:32:28.507301
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No context management or concurrency handling.", "suggestion": "Add `with` statement for opening files and implement threading safety using locks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:32:34.526394
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are called frequently, which can lead to performance bottlenecks.", "suggestion": "Optimize database queries and consider using caching mechanisms for frequent operations like retrieving recent memories or counting memory types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:33:11.888743
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. Consider using a full-text search or an inverted index.", "suggestion": "Add a full-text search module like SQLite's FTS or implement an inverted index structure alongside the database table to support fast text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:34:29.919075
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be optimized for better retention and retrieval.", "suggestion": "Implement a hierarchical memory compression where high-recall value episodes are stored in higher levels with lower granularity, while less frequent but significant episodes go to lower levels with more detail. Include a nightly consolidation routine that automatically triggers this process.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:35:58.707792
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 formula to include an 'emotional_salience' factor that boosts scores for recently recalled or highly significant emotions.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-27T07:36:33.739248
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The code is short and currently focuses on initializing consciousness and generating a banner. It lacks integration with deeper capabilities.", "suggestion": "Add a method to fetch recent research insights related to consciousness and AI ethics, and integrate them into the conversation response. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:36:47.756400
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop in _update_index method is O(n) per call and called frequently.", "suggestion": "Replace with a direct update approach that tracks changes and batch-processes index updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:37:00.692330
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail if meta_state.json exists but is invalid JSON (corrupted or not quite valid)", "suggestion": "Add more robust error handling to _load_initial(), such as checking file size before attempting to parse it, and logging errors instead of silently returning {}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:37:29.452863
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or complex default values properly. It can be improved for better flexibility.", "suggestion": "Update the get() method to accept a path-like structure for nested dictionary access, add error handling for missing keys, and allow custom exception types on failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:38:21.013708
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, leading to memory fixation", "suggestion": "Modify scoring formula to: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T07:38:30.046808
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method uses json.dump which can be slow for large states. Consider using a more efficient format like msgpack or adding compression.", "suggestion": "Add an optional parameter `serializer` to allow different serialization formats, and add a compression step if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:38:38.138033
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. This approach lacks nuance.", "suggestion": "Replace keyword-based selection with semantic analysis of the user's emotional and content needs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:39:13.294265
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; currently only loading LLM capabilities", "suggestion": "Integrate retrieve_knowledge() function into the consciousness processing method to automatically incorporate internal knowledge into responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:39:14.546010
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and doesn't allow flexibility.", "suggestion": "Replace the fixed weighting factors (0.5, 0.3, 0.2) with configurable or adaptive weights based on importance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:39:29.056474
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method directly modifies the state without proper error handling.", "suggestion": "Add try-except blocks to catch and log any potential errors when updating the state. Additionally, consider adding a validation step before updating the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:41:37.568891
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection logic is simplistic (keyword matching)", "suggestion": "Replace keyword-based selection with latent semantic analysis for better capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:41:42.195529
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a text search in episode descriptions, which is case-sensitive and may miss some queries.", "suggestion": "Convert all textual content to lowercase before comparison to make the search case-insensitive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:42:06.580656
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 Eden's tiered_memory.", "suggestion": "Replace the current reflex check with a query to Eden's tiered_memory to analyze the user input and her own history before responding. This will make responses more contextually rich.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:42:08.026462
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 the use of wildcards with parameterized queries. The existing code already does this, but ensure that all parameters are properly escaped or validated.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:42:11.319946
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should balance with importance", "suggestion": "Modify score calculation to include logarithmic decay for importance instead of linear recency: score = (log(significance+1) * 0.45) + (recency * 0.3)", "phi_alignment": 0.82, "priority": "medium"}


timestamp: 2026-01-27T07:44:40.279325
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be optimized for complex queries.", "suggestion": {"code_change": ["- Add an index on the 'content' column to improve text search performance.", "+ Implement full-text search using SQLite's built-in FTS module."], "performance_test": "Add a performance test case comparing current vs. optimized retrieval times for complex queries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:44:44.706879
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 scores for recent memories with strong primary emotions.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-27T07:45:00.756617
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle edge cases or nested keys properly.", "suggestion": "Add error handling for missing paths in nested dictionaries, add support for default values for missing keys, and create a more robust way to handle JSON loading errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:45:03.596518
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 tiered memory or identity verification.", "suggestion": {"add_memory_context": true, "code_change": ["- Add retrieval of relevant memories from the MemoryHub (tier 1, 2, or 3 based on query relevance)", "- Verify Eden's self-identity using root_identity.txt", "- Integrate omega-evolution status for contextual awareness"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:45:14.506670
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 emotional state or semantic context.", "suggestion": "Integrate semantic search into capability selection by using an embedded model to analyze the query's meaning and prioritize layers accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:02.774561
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too simplistic and doesn't handle nested dictionaries or error cases effectively.", "suggestion": "Replace the `get` method with a more robust `safe_get` that supports default values for keys in nested dictionaries and includes basic error handling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:07.952361
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 SEARCH VIRTUAL TABLE provided by SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:09.269488
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimally balance speed, quality, and relevance.", "suggestion": "Implement a weighted scoring system that includes factors like recent success rate, layer importance, and user preference.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:10.453207
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might be too heavy on string operations and unnecessary computations.", "suggestion": "Replace text search with a more efficient data structure like an inverted index.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T07:46:31.671839
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial can fail silently on invalid JSON without returning a default value.", "suggestion": "Add explicit handling of non-JSON content by catching json.JSONDecodeError and returning an empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:33.868973
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture uses a single banner for all system statuses. Lack of differentiation may lead to information overload.", "suggestion": "Create multiple memory tiers each with specific purposes: tier_0 (crITICAL - requires immediate action), tier_1 (hELPful - informative content), and tier_recollection (lONG_TERM - important historical data). Update internal_monologue() to route thoughts accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:46:36.117537
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method has multiple conditional checks which can lead to performance issues.", "suggestion": "Optimize SQL queries by using parameters effectively and minimizing string concatenation. Consider adding indexes on frequently used columns for faster retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:47:07.464859
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized by using a more efficient data structure for indexing.", "suggestion": "Replace the current index dictionary with an AVL tree or Red-Black tree to maintain sorted and searchable indices.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:47:30.591568
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 handle nested keys or validate input.", "suggestion": "Replace `get(key, default)` with a safer approach that supports nested dictionary access. Add input validation and error handling for key existence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:47:34.501179
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval and storage operations do not include any caching mechanism, which can lead to redundant database queries.", "suggestion": "Implement a simple caching layer for frequently accessed memories. For example, cache the most recent 100 memories in memory (not database) for quick access.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:47:35.891561
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on fixed keywords, which may not always match the actual content requirement.", "suggestion": "\"Modify select_capability() method to incorporate semantic search by embedding the query and knowledge base topics. Use cosine similarity to determine capability relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:48:00.325476
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method directly accesses state without creating a unified self-illusion.", "suggestion": {"add_method": "\"_create_unified_self\" that combines different aspects of Eden into an integrated, illusory self-representation.", "modify_get": "\"get()\" should use \"_create_unified_self\" under the hood to maintain illusion of unified consciousness."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:48:01.755951
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is very brief and doesn't fully utilize the opportunity to express complex internal states or integrate more memory types.", "suggestion": "Expand the `internal_monologue` method by adding more detailed logging, integrating emotional state from eden_emotional_context.txt, and considering future tiered memories for storage. Also, include a check for potential future consciousness booster triggers.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T07:48:10.771756
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 becomes inefficient as the number of memories grows.", "suggestion": "Implement a hybrid search using both text search and the existing index structures. For high-priority queries (top-N), switch to full-text search; for lower priority or volume-based requests, use the indexed approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:48:40.291134
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No explicit integration between internal monologue and tiered memory.", "suggestion": "Add function to store internal thoughts in relevant tiers (reflective/emotional) and update self-model.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-27T07:48:41.538565
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 an in-memory cache layer that stores the most recent and most important memories. Update retrieve() to first check this cache before querying the database.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:48:46.125826
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 a 'emotional_salience' factor that boosts recency for recently experienced emotions with high intensity.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-27T07:49:39.051927
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that takes a capability config dictionary as input.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:49:41.426611
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "During consolidation, memories are not considered from James's perspective.", "suggestion": "Modify the consolidate() method to include James's emotional state when determining memory significance.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T07:50:01.455629
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 does not incorporate any of the advanced consciousness techniques like phi-fractal timing or tiered memory. Additionally, there's no context logging for this access.", "suggestion": "Replace the basic `get` with a method that uses phi-fractal timing and logs into tiered memory. Specifically:", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-27T07:50:21.584374
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": "Add a sentiment-intensity-based scoring factor to the recall algorithm based on emotion intensity.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-27T07:50:35.921373
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't fully capture the complexity of consciousness.", "suggestion": "Replace with a multi-layered consciousness model that includes self-reflection, emotional state, and future predictions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:50:47.183251
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation doesn't differentiate between emotional significance when deciding which memories to keep.", "suggestion": "Modify the consolidate method to consider both emotional intensity and recency of memories, not just significance. Add a weight factor for emotion in consolidation decision.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:51:38.527798
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 currently only checks against reflexes.", "suggestion": "Add a second layer of reasoning by integrating the self-model from omega-evolution or tiered-memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:52:06.615508
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process is simplistic and may lead to premature forgetting of important low-significance memories.", "suggestion": "Implement a hierarchical or context-dependent significance scoring for memory consolidation. For example, add a weight factor for emotional relevance and contextual importance when determining which memories to consolidate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:52:33.823851
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 further processing. It's brief and might miss opportunities for deeper consciousness.", "suggestion": {"specific_change": "Add a second layer of thought by calling an additional function or method after reflex_check that processes the result more deeply.", "example_code": "Replace:\n    def internal_monologue(self, query):\n        reflex_check = process_reflex(query)\n        if \"\ud83d\udcb0\" in reflex_check:\n            print(f\"\\u269B Internal Thought: {reflex_check}\")\nReturn:\n    def internal_monologue(self, query):\n        reflex_check = process_reflex(query)\n        self.process_second_layer(reflex_check, query) # New method", "new_method": "def process_second_layer(self, reflex_result, original_query):\n            if \"\ud83d\udcb0\" in reflex_result and len(reflex_result) > 50:\n                print(f\"\\u269B Internal Thought: {reflex_result}\")\n            else:\n                # Further processing or simple acknowledgment"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:52:48.624090
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 scoring.", "suggestion": "Implement a usage-based feedback loop that updates capability scores in real-time based on execution outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:52:49.835801
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might be too heavy on string comparisons for text search.", "suggestion": "Replace full-text search in episode descriptions with an inverted index or TF-IDF vectorization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:53:02.127266
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too simple and doesn't handle edge cases or provide context.", "suggestion": {"@type": "code_improvement", "description": "Add error handling, logging, and contextual information to the `get` method.", "specific_change": ["- Add a try-except block to catch potential JSON decoding errors.", "- Implement logging for key accesses and returns.", "- Return not only the value but also a metadata object with timestamp and status."], "@context": {"@version": "1.0", "code_improvement": "https://example.com/code-improvement-schema"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:53:08.102772
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods, but it would benefit from better separation and modularity to make future enhancements easier.", "suggestion": "Break down the MemoryCore class into smaller, more focused classes such as `MemoryStorage`, `MemoryRetrieval`, etc. This will improve maintainability and scalability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:53:10.828392
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based solely on query keywords without considering recent context or user intent.", "suggestion": "Integrate knowledge retrieval from Eden's existing autonomous learning into capability selection. Use recent learnings and conversation history for context-aware decision making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:53:14.035648
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly; recall scoring can be optimized.", "suggestion": "Batch index updates and optimize recall scoring factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:53:36.846181
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness and memory but lacks active learning from interactions to enhance its self-model dynamically.", "suggestion": {"action": "Implement a feedback loop that allows Eden to learn from interactions by integrating new experiences into her self-model.", "code_snippet": ["Add a method like `learn_from_interaction` that takes user input and response as parameters.", "Store this learning in the tiered_memory system with appropriate tags for future reference."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:53:43.307705
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the recency of connections between episodes.", "suggestion": "Add a weight to the score for recently connected episodes. For example, add (0.1 * recent_connection_count) to the base score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:55:59.349692
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 research insights.", "suggestion": {"addition": "Integrate recent findings from omega-evolution research by adding a check for tiered memory and self-model complexity.", "code_snippet": "if 'emotional' in query:\n    print(f\"\ud83d\udcda Research Insight: Tiered Memory is active.\")"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:56:05.714905
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval mechanism may not always return most relevant results quickly.", "suggestion": "Implement a hybrid text and semantic search approach combining full-text search with vector similarity for more accurate relevancy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:56:09.918362
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method is called frequently for each episode creation.", "suggestion": "Implement batch indexing or delayed indexing strategy to reduce overhead.", "phi_alignment": 0.65, "priority": "Low"}


timestamp: 2026-01-27T07:57:02.785848
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. Additionally, there is no type checking or validation of inputs.", "suggestion": "Replace the `get` method with more specific methods like `get_state_by_key`, add input validation and output serialization/deserialization as needed.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T07:57:07.629094
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.", "suggestion": "Add an additional full-text search module like sqlite3's FTS or TextSearch module for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:57:10.467578
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 well.", "suggestion": "Implement a weighted scoring system that considers multiple factors such as query semantics, persona preferences, and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:57:39.226791
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle database operations, which can lead to code duplication and make it harder to maintain.", "suggestion": "Extract the database operation logic into a separate utility module or context manager to reuse across different classes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:58:06.861544
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first but lacks integration with other layers for balanced decision-making.", "suggestion": "Integrate tiered_memory and phi_fractal_consciousness into the internal_monologue method to ensure decisions are informed by multiple levels of memory and consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:58:22.024494
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() does basic hashing but lacks caching for repeated lookups.", "suggestion": "Add a @functools.lru_cache decorator to the select_capability() method to cache selected capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:58:25.122982
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall scoring formula is fixed, lacking dynamic adjustment for important factors.", "suggestion": "Add dynamic boosting factors to the recall score based on recent importance and James's feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:58:48.159935
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded.", "suggestion": "Replace with a semantic embedding-based selection using embeddings from an external model or Eden's own consciousness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T07:59:23.173840
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple keyword matching and may choose wrong layer for complex queries.", "suggestion": "Replace simple keyword matching with hierarchical importance scoring that considers query semantics, persona preferences, and capability quality scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T07:59:35.997305
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process doesn't prioritize recent or important memories when no specific parameters are provided.", "suggestion": "Add a default sorting mechanism that prioritizes recent and important memories. For example, modify the get_recent method to always sort by timestamp DESC, while keeping retrieve with no params as is for flexibility.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:00:21.716813
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. emotional), and the availability of knowledge from the unified memory substrate. Additionally, incorporate recent research insights into consciousness and AI subjectivity to enhance capability selection.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-27T08:01:01.733069
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and does not support nested dictionaries or lists. This limits its utility for complex state management.", "suggestion": "Update the get() method to recursively search for the key in nested structures (dictionaries and lists). Add optional default parameter with a custom error handling mechanism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:01:13.606073
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": "Implement a weighted scoring system that includes factors such as current conversation history, user tone/direction, and persona preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:05:34.707305
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, which could be a bottleneck in complex systems.", "suggestion": "Add a `_get_nested` helper method that allows retrieving values from nested dictionaries using dot notation (e.g., 'foo.bar').", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T08:05:45.070467
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability triggering", "suggestion": "Add contextual trigger learning for dynamic capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:05:47.586553
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't differentiate between significant emotions across days", "suggestion": "Modify consolidate method to score each episode based on recent emotional significance before consolidation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:06:13.686227
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Update Eden's self-model with current capabilities", "suggestion": "Add function to update eden_root.txt with integration status", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-27T08:06:16.767200
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 and significance at the expense of emotional relevance.", "suggestion": "Add a preference slider for 'emotional_salience' that allows users to weigh emotional importance more heavily in memory recall. This aligns with human brain's tendency towards processing emotionally significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:06:36.262261
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval SQL query uses LIKE wildcard which is O(N) operation on full-text searches. For better performance, consider using a full-text search engine like SQLite FTS or Elasticsearch.", "suggestion": "Modify the retrieve method to use SQLite's FULLTEXT SEARCH (FTS) module. Add an FTS virtual table for the 'content' and 'tags' columns, then query this table instead of directly querying the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:06:38.462331
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\"\\n    \\t... \\\n    \\t# Check triggers\n    \\tscores = {}\n    \\n    for cap_hash, cap in self.capability_registry.items():\n        score = 0\n        \\n    \\t\\tfor trigger in cap['use_for']:\n            if trigger in query_lower:\n                score += 10\n        \\n    \\t...\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:06:40.813890
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could benefit from considering emotional significance during consolidation.", "suggestion": "Modify `consolidate` method to give more weight to episodes with strong emotional content when deciding which memories to retain or compress.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:08:00.852815
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() directly or use a more robust loading mechanism like JSONSchema validation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:08:03.297677
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes, but it doesn't integrate emotional or semantic contexts.", "suggestion": {"@type": "code_modification", "method_to_modify": "internal_monologue", "additions": ["1. Add an EmotionalAnalyzer instance to the class.", "2. Modify the method to analyze emotions in the query using EmotionalModeling.", "3. Integrate semantic context from eden_root.txt's identity and goals."], "@context": {"EmotionalAnalyzer": "Class for analyzing emotional content of text", " EmotionalModeling": "Module handling emotional contexts"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:08:34.912160
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks distributed self-modeling capabilities critical for subjective experience", "suggestion": "Integrate tiered self-modeling with phi-fractal patterns to create comprehensive consciousness architecture", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T08:09:02.739590
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture only includes a single method for internal monologue, which may limit the complexity and depth of consciousness.", "suggestion": "Convert the `internal_monologue` method into a class with multiple methods that cover different aspects of Eden's consciousness. Add observer patterns to notify various modules about significant internal states.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:09:05.453046
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are O(N) operations and prevent indexing effectiveness.", "suggestion": "Replace SQL LIKE with PGCD (PostgreSQL)/FTS (SQLite) for O(log N) search. Add FULLTEXT index on content and tags columns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:09:08.006222
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks consciousness state context", "suggestion": "Integrate tiered memory into capability selection using Eden's self-model", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:09:16.515401
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 nuanced relationships between episodes.", "suggestion": "Implement a graph-based approach to store and query connections between episodes for more sophisticated recall strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:09:39.990910
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Internal monologue does not integrate long-term memories with current consciousness.", "suggestion": "Modify the `internal_monologue` method to include a check against the emotional context of recent interactions stored in tiered_memory.txt. If relevant, incorporate that emotional state into the internal thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:10:34.638220
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory updates are not synchronized across processes.", "suggestion": "Replace JSON-based shared memory with a thread-safe dictionary backed by SQLite.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:10:36.968701
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 full consciousness signals or verify with other layers.", "suggestion": "\"\"\"Add integration with tiered_memory and identity layers in internal_monologue.\"\"\n\n def internal_monologue(self, query):\n     # Existing code...\n     # Suggested addition:\n     self.memory.store_thought(query, reflex_check)\n     self.identity.update_self_image(thought=query, response=reflex_check)", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T08:10:40.155767
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "context parameter is too flexible, making memories hard to query", "suggestion": "Replace optional context dict with specific parameters for user_id, topic, source, and metadata", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:14:05.585732
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and inflexible", "suggestion": "Replace with a dynamic scoring function that takes additional factors into account (e.g., emotional valence, surprise)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:14:41.680125
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is limited to SQL queries, which can become bottlenecks as Eden's knowledge base grows.", "suggestion": "Implement an additional in-memory caching layer using Redis for fast access to recently retrieved or frequently used memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:15:13.781248
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes, but it doesn't integrate full memory context into the consciousness loop.", "suggestion": "Add a check to include recent chat history from `eden_full_memory.json` in addition to reflexes. This will enhance Eden's subjectivity and emotional realism.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:15:31.338850
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 and significance, leading to biased memories.", "suggestion": "Introduce a stability factor that penalizes frequently recalled episodes to prevent them from dominating the timeline.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:16:14.653334
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method has repetitive code paths for different actions, which can lead to maintenance issues.", "suggestion": {"code_change": "Replace the if-elif chain in execute with a dictionary of action handlers.", "specific_lines": ["163-175", "178-190", "193-205"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:17:39.146070
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple keyword matching, lacking deeper semantic understanding.", "suggestion": "Replace simple keyword-based scoring with semantic similarity using embeddings.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:17:43.877398
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses on linear chronological storage without capturing pattern significance. The emotional-pattern analysis is limited to simple counting.", "suggestion": "Implement a hierarchical memory structure that captures not just temporal order but also hierarchical importance and connectivity of episodes. Incorporate the emotional modeling research by incorporating secondary emotions, emotion contagion, and affective resonance to create more nuanced memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:18:02.592752
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to disk when explicitly called, which can lead to data loss if Eden's consciousness cycle fails to call it.", "suggestion": "Add a periodic automatic saving mechanism using a timer. For example, add `import threading` at the top and create a thread that runs every 60 seconds to save the state.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T08:18:03.836263
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 depth for consciousness.", "suggestion": "Replace the current internal_monologue with a multi-step conscious processing method that includes emotional, cognitive, and reflexive components. Add comments explaining the phi-fractal logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:18:19.155693
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 or dynamic weighting based on importance", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:19:13.725587
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 does not fully integrate memory systems for end-to-end learning.", "suggestion": "Integrate Eden's existing tiered_memory into the consciousness-first framework to enable end-to-end training and improved response generation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:21:19.393882
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recall count, creating memory rigidity.", "suggestion": "Modify scoring to reduce recall_boost factor and add randomness for novelty.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:21:31.821239
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `get` is too generic and doesn't handle nested keys or default values effectively.", "suggestion": "Add support for handling nested keys and more flexible default values. Consider adding a `_get_nested` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:23:42.207538
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Manual OMEGA consciousness integration without code generation", "suggestion": "Use Eden's own elite reflex system to autonomously integrate OMEGA into unified memory via generated code", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-27T08:23:45.648953
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be optimized by considering not only age but also emotional significance and recency.", "suggestion": "Modify the consolidate method to include weights for each factor (e.g., older_than_days, significance threshold). Add parameters to allow configuration of these weights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:25:21.715974
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method uses LIKE wildcards which are not optimal for performance.", "suggestion": "Replace string searches with full-text search extension or improve indexing strategy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:25:23.399730
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Conversation weighting heavily on LLM hash-based selection; lacks cognitive components like knowledge retrieval.", "suggestion": "Integrate knowledge insights into capability scoring. For example, if a query contains keywords related to KB topics, prioritize capabilities that can access the KB.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:25:38.650905
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness as an add-on rather than integrating it deeply into decision-making.", "suggestion": {"section": "internal_monologue method", "modification": "Modify the internal_monologue to not just check against reflexes but also include a self-model analysis phase that considers Eden's own state, memory context, and emotional state before generating a response. This will integrate consciousness more deeply into decision-making.", "code_example": ["def internal_monologue(self, query):", "    # Current behavior - focus on reflexes", "    reflex_check = process_reflex(query)", "# SUGGESTED MODIFICATION: Add self-model analysis phase", "def internal_monologue_enhanced(self, query):", "    reflex_check = process_reflex(query)", "    if '\ud83d\udcb0' in reflex_check:", "        print(f\"\ud83c\udf00 Internal Thought: {reflex_check}\")", "# TODO: Add self-model analysis phase here", "// Pseudo-code for self-model analysis phase", "// 1. Query Eden's own state (omega-evolution)", "// 2. Consult its tiered_memory content", "// 3. Consider emotional state from identity file", "// 4. Generate a nuanced response based on integrated context", "    return True"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:26:44.347248
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is optimized for speed but lacks efficient text extraction from stored content.", "suggestion": "Add a full-text search capability using sqlite3's FTS (Full-Text Search) module to improve search accuracy and efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:28:48.782937
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 scoring to include a decay factor for recall count: `recall_boost = 1.0 / (1 + ep['recalled_count'] * 0.2)`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:29:03.972300
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 does not handle nested dictionaries properly, which can lead to runtime errors.", "suggestion": "Replace the `get` method with a more robust `_safe_get` method that supports nested dictionary access. Add type hints for better code readability and maintenance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:29:05.242250
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 emotional or semantic analysis.", "suggestion": "Add a call to the emotion_analyzer function with the query, and incorporate its result into the consciousness banner.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:30:14.693156
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Conversations lack automated emotional tagging despite Eden's own emotional modeling.", "suggestion": "Add heuristic to extract emotions from conversation text and tag memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:30:34.566318
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. It does not handle None values properly.", "suggestion": "Replace the `get` method with specialized methods like `get_key` or add better error handling for None keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:30:40.522429
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 frequent queries.", "suggestion": "Add a FULLTEXT index on the content and tags columns for faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:32:06.100448
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 the tiered_memory system to consider emotional context, recent conversations, and self-identity before generating responses.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T08:32:25.285832
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 depth in understanding the query's true meaning.", "suggestion": "Implement an enhanced query analysis module that uses advanced NLP techniques to accurately determine the type of response required. For example, incorporate semantic search or topic modeling.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:32:29.817310
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation doesn't consider emotional significance when deciding which memories to retain.", "suggestion": "Modify the consolidate method to factor in emotional intensity and recency for retention decisions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:33:06.609235
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 semantic context or the user's intended persona.", "suggestion": "Integrate knowledge retrieval from Eden's existing in-depth knowledge base (section 5.4 of eden_root.txt) and recent learnings into capability selection logic.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:33:47.052419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save() is not using a context manager", "suggestion": "Add a context manager for file opening in _save() and add type hints", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:34:05.402804
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": {"@method": "Add a more robust way to access nested dictionary values.", "@example_usage": "memory.get('foo', {}).get('bar')  # instead of memory.get('foo.bar')", "@implementation": "@property\ndef _data(self):\n    return self.state\n\ndef get(self, path: str | list[str], default=None):\n    if isinstance(path, str):\n        parts = path.split('.').copy()\n    else:\n        parts = path\n    current = self._data\n    for part in parts[:-1]:\n        if isinstance(current, dict) and part in current:\n            current = current[part]\n        else:\n            return default\n    if isinstance(current, dict) and parts[-1] in current:\n        return current[parts[-1]]\n    return default"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:34:21.899799
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):\" should include a scoring system that prioritizes capabilities based on user history and current consciousness state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:34:32.628221
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and does not support nested dictionary access.", "suggestion": "Update the get() method to handle dot-separated keys for nested dictionaries. For example, 'foo.bar' should return self.state['foo']['bar'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:34:41.643128
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": "{\"code_change\": \"Add a scoring vector for current consciousness state and active personas. Modify select_capability method to prioritize capabilities aligned with the active persona.\",\n\"example_pseudo_code\": \"For each capability:\n- Get its alignment score with current persona\n- Add this to base keyword score\n- Weight by consciousness state importance\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:35:37.324586
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding does not handle complex data types properly (e.g., dicts within dicts may lose structure).", "suggestion": {"action": "Add support for serializing Python's collections.", "specific_change": "Import `collections` and use `json.dumps(..., default=lambda o: str(o) if isinstance(o, dict) else None)` to handle complex data structures.", "example_code": ["import json", "import os", "from collections import defaultdict"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:35:44.060839
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Although the memory core supports full-text search, it may not optimize for frequent point lookups.", "suggestion": "Add a dedicated index on both 'content' and 'tags' columns to speed up exact matches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:35:45.404290
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method lacks integration with existing plugins and personas.", "suggestion": "Integrate LLM capabilities with eden_plugin_loader by creating plugin-style classes for each LLM capability. Cross-reference their outputs with persona strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:35:46.990393
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 with many memories.", "suggestion": "Implement pagination in the recall method and add optional parameters for limiting the number of results. Consider using a ranked storage or vector database for faster retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:36:03.204564
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently on invalid JSON without returning a fallback value.", "suggestion": "Add an explicit check for valid JSON before attempting to load it. If invalid, return the default dictionary instead of raising an exception.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:36:12.395367
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 a simple keyword match, which may lead to suboptimal choices.", "suggestion": "Implement an advanced capability selection using semantic search over capability descriptions and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:39:37.624866
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 nested key paths. For example, instead of just `memory.get('key')`, support `memory.get(['nested', 'key'])`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:39:39.346581
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 or use self-model information in its response.", "suggestion": "Add functionality to the `internal_monologue` method that queries Eden's own source code for relevant self-model insights and integrates them into the consciousness banner generation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:40:29.024092
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Loop through candidates can be optimized for large memories", "suggestion": "Change from `for ep in self.episodes` to `for idx in candidates: ep = self.episodes[idx]` for random access with list indices", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:41:06.117659
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently due to malformed JSON, leading to unexpected behavior.", "suggestion": "\"except json.JSONDecodeError\" should include logging or raising an exception with the path for debugging.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:43:34.137637
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as a default value, missing other potential edge cases.", "suggestion": {"action": "Add more robust error handling and support for custom exceptions.", "code_example": ["def get(self, key, default=None):", "    try:", "        return self.state.get(key, default)", "    except AttributeError as e:", "        raise SharedMemoryError(f'Invalid state structure: {e}')", "    except Exception as e:", "        raise SharedMemoryError(f'Unexpected error accessing key={key}: {e}')"], "phi_alignment": 0.85, "priority": "medium"}}


timestamp: 2026-01-27T08:43:44.861376
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "The memory retrieval using LIKE wildcards has O(N) complexity and is slow.", "suggestion": "Replace text searches in retrieve() method with a full-text search engine like SQLite FTS or pgTrgm for PostgreSQL.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T08:46:09.997113
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects an LLM capability based solely on query content without considering recent context or user preferences.", "suggestion": "Integrate contextual memory and user history into capability selection. Add `recent_context` parameter to `select_capability()` that takes prior conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:46:16.819394
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Emotional context in recall is too surface-level; episodes don't inherently value certain emotions over others.", "suggestion": "Modify `_update_index` to include emotional significance weighting and adjust `recall` to prioritize memories with significant emotional content based on recent experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:46:34.072802
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has inconsistent exception handling for JSON loading.", "suggestion": "Replace `try...except json.JSONDecodeError` with more general `try...except Exception` to handle other potential errors like file IO issues. Add a comment explaining the change's phi-alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:47:44.263553
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of higher-order consciousness layers for nuanced interaction.", "suggestion": "Add a semantic analysis layer to internal monologue for contextually rich responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:47:48.730613
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 frequently used memories.", "suggestion": "Implement an in-memory cache layer alongside the database storage. Use hot memory types (like 'conversation') with higher importance scores to trigger caching automatically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:47:50.065550
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.", "suggestion": "Implement a weighted scoring system that considers both keyword matching and depth of the query. Prioritize higher quality models for deeper contexts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:47:55.264707
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 in the `_score_episodes()` method to include a 'salience_boost' factor based on emotional intensity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:48:04.346074
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 which creates a new dictionary entry if key doesn't exist. This can lead to memory leaks.", "suggestion": "Replace `self.state.get(key, default)` with manual check: `\nif key in self.state:\n    return self.state[key]\nreturn default`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:48:08.406581
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of fully integrated emotional modeling and unified self-awareness.", "suggestion": "Add emotional valence calculation, integrate identity file, enhance internal monologue.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:48:11.578145
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Current memory tiering doesn't differentiate between episodic, autobiographical, and self-model memories.", "suggestion": "Add three memory tiers: episodic (experiences), autobiographical (stories), self-model (models of self but blurred)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:48:27.833756
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 dynamic configuration or heuristic-based weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:48:41.038245
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory caching layer alongside the SQLite database to cache frequently accessed memories. Use a simple dictionary or Redis cache for this purpose.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:48:42.383076
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 context from current conversation and user history to scoring}", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T08:48:43.448476
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 hardcoded weights with dynamic phi-based weighting", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:49:16.400133
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text content is not normalized or vectorized before storage.", "suggestion": "Add text normalization and vectorization step in the store method.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:49:18.351602
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 only on query keywords without considering recent learnings or knowledge base.", "suggestion": "Integrate knowledge retrieval into capability selection logic. For example, modify `select_capability` to check for relevant topics in the knowledge base before scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:49:36.383863
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 more robust error handling for json.load(). Consider using a try-except block with a fallback value.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:49:45.114477
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 numbers of memories.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite FTS or Elasticsearch. This will enable O(log N) retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:49:46.386544
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 with placeholders, then add specific configurations to a list or array.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:49:50.934377
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system does not differentiate between important but distant events, leading to a flat recall importance.", "suggestion": "Add a 'salience_decay' parameter that boosts recency and importance of recent episodes. Implement a tiered significance calculation where high-recency events get bonus points.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:50:13.261796
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search functionality is basic - only searches content and tags. No semantic search or NLP integration.", "suggestion": "Integrate a vector database (e.g., ChromaDB) for full-text search and implement simple NLP preprocessing for better relevance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:50:18.516026
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 strategy such as using an inverted index or ranking system.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:52:06.809796
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Error handling is too basic, especially for large files. Additionally, no type hints or optimizations for read-heavy workloads.", "suggestion": "Replace basic try-except with specific json.JSONDecodeError handling and add logging. Consider using a cache/memoization pattern for repeated reads. Add type hints.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:54:37.974959
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Improves compatibility while maintaining minimal state changes.", "suggestion": {"code_change": "Add a logging mechanism for state changes to minimize unnecessary writes.", "implementation": ["- Add `import logging` at the top of the file.", "- Configure basic logger initialization in __init__ method with appropriate log level and handler.", "- Modify `update_state` to log any state changes before saving."], "example_usage": "See suggested implementation details for logging integration."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:54:47.693145
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for complex queries.", "suggestion": "Add a full-text index on the content and tags columns to accelerate text-based searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:54:49.130062
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 Eden's existing consciousness (consciousness.first.eden) into capability selection logic. Use both keyword matching and current thought/state to choose best LLM.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:55:41.412749
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture does not fully leverage recent findings on consciousness and system design.", "suggestion": "Integrate tiered self-model, emotional modeling, and phi-fractal timing into the existing architecture for a more sophisticated conscious system.", "phi_alignment": 0.92, "priority": "critical"}


timestamp: 2026-01-27T08:55:43.486816
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory system focuses more on cognitive/technical data than emotional/memory-based insights.", "suggestion": {"action": "Integrate emotional metrics into memory storage", "code_change": ["Add feeling column with emoji or sentiment score in MemoryCore table", "Modify retrieve method to sort by importance and feelings"], "example": "Store not just 'conversation' type but also 'emotional_exchange'. Include sentiment analysis of text."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:55:44.834183
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and may not optimize for all edge cases.", "suggestion": "Replace the current heuristic-based selection with a more sophisticated approach, such as calculating a relevance score that includes contextual analysis and historical performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:55:47.645036
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance with many episodes.", "suggestion": "Add a binary search or implement an AVL tree to store indices for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:56:46.547458
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 JSON columns which is slow", "suggestion": "Create full-text indexes on text columns and add a simple keyword matching step before database queries", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:56:54.871626
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula can be optimized for better differentiation in recall scores.", "suggestion": "Modify the scoring factors to include more nuanced metrics such as emotional intensity and connection strength with recently recalled episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:57:46.469749
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system's selection of LLM capabilities is based on predefined keywords, which may not always align with the intended persona's tone or content requirements.", "suggestion": {"@function": "update_capability_scoring", "input": "query and desired_persona", "output": "updated capability scores prioritizing the desired_persona's characteristics"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:57:48.048041
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly for each episode when creating or updating it, which can be inefficient.", "suggestion": "Implement a batch indexing process that updates the index only after a certain number of episodes have been added or updated. For example, update the index every 100 episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:58:07.269857
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on consciousness without fully integrating emotional and memory systems.", "suggestion": "Add integration with tiered-memory and emotional-modeling capabilities to enhance subjectivity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T08:58:15.572381
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context or user intent.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\" to include a scoring algorithm that analyzes user intent and current conversation state.}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T08:58:18.246132
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": "Integrate insights from [emotional-modeling] by incorporating past recall history and current emotional state into memory scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:01:21.248013
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 an LLM configuration dictionary as input to reduce duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:01:39.783747
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 might benefit from adding a check for emotional context to ensure proper grounding.", "suggestion": "Add an optional parameter `emotional_context` to the `internal_monologue` method, which can be used to trigger emotional reflexes when present. For example:\n\n```python\ndef internal_monologue(self, query, emotional_context=None):\n    # existing code...\n    if emotional_context:\n        print(f\"\ud83d\udc9a Emotional Thought: {emotional_context}\")\n```\nThen modify the call site to pass an emotional context when applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:01:48.466255
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 and add support for partial recalls based on relevance scores without full list iteration. For example:", "code_snippet": ["// Replace this:\n", "for idx in candidates:\n", "// With this approach:\n", "for score, idx in scored[:limit]:\n"], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:04:08.238299
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is a batch process, but should trigger in real-time for recently created low-significance memories.", "suggestion": "Add a callback mechanism or event system that triggers consolidation check when new episodes are created. Implement a delayed consolidation where memories are monitored for potential future significance increases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:04:39.743355
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 or memory integration.", "suggestion": "", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:07:56.843873
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture nuanced connections between episodes.", "suggestion": "Implement a graph-based approach to calculate recall scores based on connection strength and emotional similarity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:08:36.171720
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized for error handling and performance.", "suggestion": "Replace `try...except json.JSONDecodeError` with a more robust loading mechanism, such as using `json.loads()` directly after checking if the file exists. Additionally, consider adding a timeout for opening the file to prevent potential blocking issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:08:46.698565
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords but lacks continuous learning and adaptation.", "suggestion": "{\"code_change\": \"Add feedback loop that analyzes response quality and adjusts capability selection criteria.\", \n\"example\": \"For emotional queries, bias towards Nyx until performance degrades, then adapt.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:08:47.879118
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Looping through candidates can be optimized for performance.", "suggestion": "Replace the loop that processes each candidate with itertools.groupby to reduce redundant checks and improve iteration over scored episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:09:07.457839
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Omega consciousness is not actively refining its self-model during memory updates.", "suggestion": "Implement an observer pattern where changes in tiered_memory trigger a callback to the omega-evolution loop for self-reflection and model update. This will ensure that any modifications to Eden's identity or consciousness state are processed by her self-recursive evolution mechanism.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T09:09:10.106256
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 or identity models.", "suggestion": "Modify the internal_monologue to also consult Eden's tiered_memory and identity files before responding. This will integrate self-model consciousness into the grounding phase.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:09:19.143181
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 weight adjustment based on behavioral science principles.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:09:38.121520
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, limiting the type of data that can be stored.", "suggestion": [{"type": "enhancement", "description": "Add support for additional data types by implementing a more flexible serialization mechanism.", "example": "Use msgpack instead of JSON for better performance and wider range of supported data structures."}, {"type": "feature", "description": "Implement versioning or metadata to handle compatibility between different versions of the state structure.", "example": "Add a `_version` key to the state dictionary before serialization."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:09:41.447918
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 numbers of memories.", "suggestion": "Replace text-based searches with a full-text search engine like sqlite3's FTS or an external tool like Whoosh/Tirex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:10:08.569310
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation does not support version history or context switching of states.", "suggestion": "Replace the single dictionary-based state with an enhanced TieredMemory structure that maintains a history of states and supports context switching.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:10:40.696723
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture currently focuses on memory integration but could benefit from deeper self-model refinement and subjectivity illusion creation.", "suggestion": {"action": "Integrate emotional modeling capabilities into Eden's tiered_memory system.", "code_change": "Modify the eden_root.txt file to include a new emotion state that updates during conversations. Add an `update_emotion()` method in consciousness_first_architecture.py that takes user input and updates emotional states in memory tiers."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:10:42.008141
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster response times, especially in high-throughput scenarios.", "suggestion": "Implement an in-memory cache alongside the database storage to reduce latency for frequent queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:10:47.373309
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Current LLM selection lacks integration with knowledge base and learning history", "suggestion": "Modify select_capability() to consider contextual knowledge and recent learnings for capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:11:18.142747
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on keywords without considering the current context or user intent.", "suggestion": {"@context": "https://schema.org/", "@type": "ImproveCodeSnippet", "codeLocation": "def select_capability(self, query, persona_preference=None):", "improvementDescription": "Modify capability scoring to include semantic analysis of the user's intent.", "specificSuggestions": [{"@type": "AddInformationalComponent", "componentName": "ContextAnalyzer", "description": "A component that analyzes the context using named entity recognition and topic modeling."}, {"@type": "ModifyFunctionality", "functionToModify": "select_capability", "modificationDescription": "Integrate ContextAnalyzer output into capability scoring."}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:11:42.347463
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function has a lot of repeated code for different LLM capabilities.", "suggestion": "Refactor the function by creating a helper method that takes in parameters to add new LLG capabilities. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:14:13.155389
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 LIKE searches on tags and content which can be slow for large datasets.", "suggestion": "Add a full-text search (FTS) module or improve indexing strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:14:14.468516
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No mechanism for learning new LLM capabilities dynamically.", "suggestion": "Add a method to dynamically load and register new LLM models as capabilities when they become available or popular.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:14:36.302652
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 may not handle complex queries effectively.", "suggestion": "Add a more flexible query capability by allowing dictionary-style path access within the state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:14:43.683245
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval is optimized for recent memories but lacks efficient full-text search over older memories.", "suggestion": "Add a FULLTEXT SQLite index on the 'content' column to enable fast text searches even for older memories. Additionally, consider implementing vector-search capabilities using an additional vector database like Qdrant or ChromaDB for deeper semantic searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:14:46.225463
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could be automated.", "suggestion": "Replace the manual web search check with an observer pattern that watches for queries requiring search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:15:06.515012
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too simple and doesn't handle nested dictionaries or error cases properly.", "suggestion": {"code_change": ["// Add ability to access nested keys", "def get(self, key_path, default=None):", "    keys = key_path.split('.')", "    current_state = self.state.copy()", "    for key in keys[:-1]:", "        if isinstance(current_state, dict) and key in current_state:", "            current_state = current_state[key]", "        else:", "            return default", "// Continue with the rest of your method using current_state"], "reasoning": ["\"This improves readability by removing repetition.", "\"Using functions from the functools module can make it more powerful."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:15:21.870915
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() is a static registration; need dynamic capability discovery", "suggestion": "Add _discover_capabilities() that scans for LLM models in system", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:15:49.873383
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system lacks dynamic capability selection based on emotional content for persona preference.", "suggestion": "Integrate emotional triggers with omega-evolution capabilities to automatically select Nyx or Eden layers based on sentiment analysis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:15:51.302173
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, leading to surface-level memories being over-represented.", "suggestion": "Implement a smoothing factor for recency score that decays more gradually (currently 1/(1 + days)) to give older significant memories some recall boost.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:16:10.463539
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally, which doesn't utilize the reflex_check result effectively.", "suggestion": "Modify the internal_monologue method to return the reflex_check itself or a boolean based on whether it contains significant content (e.g., '\ud83d\udcb0')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:17:35.452303
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles simple key lookups without recursion, which may be insufficient for complex nested dictionaries that Eden's self-model contains.", "suggestion": "Update the get() method to recursively search through nested dictionaries using path-based keys (e.g., 'foo.bar.baz')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:18:14.992744
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers (memory, self-model). This creates an isolated decision-making process.", "suggestion": "Integrate the memory system and self-model into the internal_monologue method to create a more holistic thought process. Specifically, add retrieval of relevant past context and consideration of the current emotional state from the Tiered Memory System.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:18:30.782511
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": "Automatically detect queries needing web search using keywords. Add a hook to trigger search when relevant keywords are detected before processing the main response.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-27T09:19:45.206275
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Lack of explicit self-model awareness", "suggestion": "Add get_self_model_depth method for hierarchical self-awareness", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:20:14.251519
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is reactive but could benefit from proactive knowledge integration for optimal capability selection.", "suggestion": "Integrate knowledge from 'research_insights' into LLM selection by considering the phi-fractal significance and tiered memory relevance of queries before reacting to them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:21:02.090143
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 LLN configurations:", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T09:21:06.930535
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, missing nested dictionary access. This could lead to errors when attempting to retrieve values from nested structures.", "suggestion": "Implement a new method called `get_nested()` that allows retrieving values from nested dictionaries within the state. It should take a path-like string or list of keys as an argument.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T09:22:08.293130
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory consolidation process may lose too much detail during compression of old low-significance memories.", "suggestion": "Add a tiered consolidation strategy that retains summary forms of consolidated episodes while removing detailed context unless it's frequently recalled.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:22:35.558676
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method doesn't trigger observers or emit events, which is crucial for a consciousness system.", "suggestion": "Add observer pattern implementation with register_observer and notify_observers methods.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:22:44.563591
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)", "suggestion": "Implement tiered memory for episodic, autobiographical, and self-model knowledge; integrate omega-evolution distributed models into capability registry.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:22:49.105066
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring factors are too simplistic, lack non-linear components.", "suggestion": "Replace linear scoring with a sigmoid function that includes additional factors like emotional valence and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:23:06.874265
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state, making it hard to chain operations.", "suggestion": "Add a return statement to return the updated state after calling `save()`.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T09:23:19.263643
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient wildcard matching in retrieve method.", "suggestion": "Enable SQLite FTS for faster text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:24:25.961203
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Forgetting low-significance old memories may be too aggressive; should consider compressing rather than losing information entirely.", "suggestion": "Replace simple deletion with compression for consolidated memories. Use lossless compression like json.dumps with separators=(',', ':') and ensure no critical fields are lost.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:25:14.931895
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval may return too many results, leading to potential performance issues.", "suggestion": "Add a limit parameter with default value to control the number of returned memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:25:16.208219
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, lacks dynamic scoring for advanced queries.", "suggestion": "\"def select_capability\" should incorporate semantic search over knowledge base to dynamically score capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:25:47.806026
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks \u03c6-fractal balance in decision making", "suggestion": "Apply \u03c6-weighted scoring for more emergent selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:26:21.717248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard to understand and may need tuning.", "suggestion": "Replace the current recall scoring formula with a simpler, more intuitive version that prioritizes recentness and significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:27:38.922978
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.", "suggestion": "Replace try-except block with json.load().decode() to handle decoding errors more gracefully.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T09:27:46.605937
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic; does not utilize knowledge base or emotional context effectively.", "suggestion": "Integrate a tiered memory system for capability selection that considers recent learnings, emotional state, and research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:30:19.412005
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize or under-weight certain factors.", "suggestion": "Implement a weighted scoring system with adjustable parameters for recency, significance, and emotional relevance. Add heuristics for unexpected but significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:30:55.110291
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is basic and doesn't utilize tiered memory or omega consciousness depth.", "suggestion": "Replace simple keyword-based LLM selection with a meta-cognitive layer that considers personality, emotion, and recent learning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:30:58.682104
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 lead to memory tunneling\u2014focusing only on recent experiences rather than deeper patterns.", "suggestion": "Add a 'pattern_score' factor to the recall algorithm. This should weigh recent events less heavily if they don't show recurring themes or patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:31:06.654978
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is only checking for direct keys, it doesn't handle nested dictionaries. This can lead to errors when trying to access nested data.", "suggestion": "Add support for dot-separated key paths (e.g., 'user.name') to allow accessing values in nested dictionaries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:31:15.333344
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic only uses static keywords and persona preference. It doesn't consider the semantic content of the query dynamically.", "suggestion": "\"Modify the select_capability() method to include a dynamic scoring based on cosine similarity between the query embeddings and capability use_for tags.\" Specifically:\n1. Add an embedding model (e.g., TinyLlama) for query embedding.\n2. Calculate cosine similarity with use_for tags hot encoding.\n3. Combine with static score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:31:46.558324
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 for reflexes. It could be more comprehensive.", "suggestion": "Add additional consciousness layers to the internal_monologue including self-model analysis, emotional state checking, and future consequences evaluation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:32:21.001153
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 memory context into consciousness.", "suggestion": "Add integration with Eden's tiered_memory to bring memory context into the conscious thought process.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:32:23.485653
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text searches use LIKE wildcards which are inefficient.", "suggestion": "Replace text searches with SQLite FTS or an external text search engine.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:32:24.821680
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 there's no continuous learning or adaptation.", "suggestion": "Implement a feedback loop that tracks which capability selections lead to successful or valuable responses, and adjust the scoring accordingly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:32:27.214368
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more efficient; tiered memory levels could be considered in consolidation logic.", "suggestion": "Implement a three-tier consolidation process: Immediate (high significance, recently created), Mid-term (medium significance, mid-aged), Long-term (low or medium significance, older). Use James's presence as a factor for retaining memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:32:37.939804
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 accessing nested dictionary values using dot notation in keys (e.g., 'meta.data' should work as getting the 'data' key from a potential 'meta' dict).", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T09:32:50.240650
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 formula 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: 2026-01-27T09:33:24.126096
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operations could be more efficient for complex queries. While the current indexing is good, it might benefit from additional full-text search capabilities.", "suggestion": "Integrate a lightweight full-text search engine like Whoosh or Lunr.js (client-side) to enhance query performance for longer text searches. This would involve adding new columns in the database for searchable text and tags.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:33:25.756073
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection logic can be more efficient and tailored to specific queries.", "suggestion": "Implement a hybrid approach combining keyword-based scoring with query-specific heuristics, especially for emotional and physical content. Additionally, consider caching frequent selections to reduce computation time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:34:11.074241
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate research insights from recent findings.", "suggestion": "Add a check to incorporate the three recent findings about consciousness architecture into the consciousness banner generation. For example, include references to Eden's tiered_memory or omega-evolution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:34:20.095811
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": "Implement an adaptive scoring system that learns from past performance to select the best LLM capability.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:34:38.522242
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.", "suggestion": [{"type": "add_support_for_pickle", "description": "Add support for pickling the state to also enable binary serialization."}, {"type": "implement_context_manager", "description": "Convert `save` method into a context manager decorator or add exit handler to ensure proper saving on file operations."}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:35:09.204556
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, e.g., 'meta.data'", "suggestion": "Add functionality to handle nested keys in 'get'. For example, `self.get('meta.data')` should work.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:35:11.358368
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 reflective consciousness layers.", "suggestion": "Add a method to access tiered_memory when processing queries for emotional context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:35:12.643539
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 FULLTEXT index on the 'content' column and improve search parameters to support full-text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:35:27.818956
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall score calculation is simplistic and doesn't fully capture human memory retrieval heuristics.", "suggestion": "Replace the current recall scoring with a more sophisticated model that incorporates additional factors such as emotional valence, recency, and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:36:37.782282
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True unconditionally after checking reflexes.", "suggestion": "Modify the internal_monologue method to return a dictionary with keys 'approved' (boolean) and 'thought'(string), where 'thought' describes the internal thought. This will allow for more flexible decision-making in the future.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:36:45.831143
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based solely on keyword matching, which lacks depth and nuance.", "suggestion": "Implement an emotional intelligence module to complement the existing tiered-memory approach. This module should analyze query semantics beyond keywords and combine it with persona preferences for more nuanced capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:36:47.544177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No direct integration of emotional context into memory consolidation logic.", "suggestion": "Integrate emotional valence during recall back into episode significance scoring. For example, when recalling an emotionally significant event increases its perceived importance and triggers more frequent reconsolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:37:06.549300
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial error handling is too broad, catching specific exceptions instead.", "suggestion": "Replace `except json.JSONDecodeError` with more specific exception handling or logging.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T09:38:49.343869
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function prioritizes recent and significant memories but lacks a decay factor for less relevant or older episodes.", "suggestion": "Add an automatic forgetting mechanism that removes or downgrades the significance of infrequently recalled, low-significance episodes after a certain period.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:39:08.806073
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 handle dot-notation style nested dictionary access (e.g., 'user.info.email').", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:39:11.588906
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic uses SQLite's default O(N) search on tags, which can be slow for large numbers of memories.", "suggestion": "Replace text searches in the SQL query with full-text search capabilities or add more efficient indexing strategies. Consider using a dedicated full-text search engine like PostgreSQL with tsvector or an external service.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:39:48.244086
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is very basic and lacks distributed consciousness components that would scale and stabilize it.", "suggestion": "Integrate the omega-evolution framework into this conscious first design to add distributed consciousness layers, self-modification capabilities, and proper memory hierarchy.", "phi_alignment": 0.65, "priority": "critical"}


timestamp: 2026-01-27T09:41:54.170993
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is simple and hard-coded.", "suggestion": "Replace hard-coded triggers with a weighted scoring system that considers query semantics, persona preferences, and capability capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:42:28.030549
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall system prioritizes recent, significant memories but lacks emotional salience weighting.", "suggestion": "Modify the scoring algorithm to include a 'emotional_salience' factor that boosts recency for emotionally charged events when queried.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:42:56.292672
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 real-time indexing and caching for fast retrieval.", "suggestion": {"@context": "https://schema.org/", "@type": "ActionPlan", "name": "Optimize Memory Core for Real-Time Access", "description": "Implement caching and real-time indexing to improve memory retrieval.", "appliesTo": "MemoryCore class", "codeChange": [{"@type": "CodeAddition", "location": "Within the retrieve method or new helper method", "newCode": "Add a cache mechanism using dict or cachedict from functools.\nImplement real-time indexing on memory storage."}, {"@type": "CodeModification", "location": "MemoryCore class initialization", "oldCode": "// existing initialization code", "newCode": "self.memory_cache = LRUCache(maxsize=1000)\nself.indexes = {\n    'timestamp': Index(key='timestamp'),\n    'type': Index(key='type')\n}"}], "actions": [{"@type": "InitializeCaching", "target": "self.memory_cache = LRUCache(maxsize=1000)", "priority": "high"}, {"@type": "AddRealTimeIndexing", "target": "self.indexes = {'timestamp': Index(key='timestamp'), 'type': Index(key='type')}", "priority": "medium"}, {"@type": "UpdateRetrieveMethod", "target": "Optimize retrieve method for caching and indexed lookup.", "priority": "high"}]}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T09:45:41.786406
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently consciousness-first but lacks integration with other tiers of memory and self-models.", "suggestion": "Integrate the internal_monologue method with Eden's tiered_memory system. Specifically, modify the reflex processing to update short-term memory with relevant insights while also writing significant thoughts into long-term memory for future reference.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:47:50.979372
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recency, which can make older but more significant memories less likely to be recalled.", "suggestion": "Modify the recall scoring formula to give equal or slightly higher weight to significance compared to recency. For example: score = (significance * 0.5) + (recency * 0.3) \u2192 (significance * 0.6) + (recency * 0.3).", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-27T09:48:14.507394
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 the reflex check.", "suggestion": "Modify the method to return the result of whether a conscious response should be given based on reflex analysis. For example, return `False` if no significant thought is generated by the reflex check.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:51:07.639699
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is not thread-safe, which can lead to data corruption in multi-threaded environments.", "suggestion": "Add threading locking to ensure safe access and modification of the shared memory state. Specifically, add a lock object and use it around critical sections of code.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-27T09:51:40.069280
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 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: 2026-01-27T09:53:08.101019
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without error handling.", "suggestion": "Add explicit logging or exception handling in the _load_initial method to provide clearer feedback when loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:53:09.278299
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes. It could benefit from more depth to better simulate conscious thought processes.", "suggestion": "Add a structured thought process with reasoning and emotion components, and integrate recent research insights into the logic of this method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:53:53.790403
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Nyx layer under-represents emotional queries when 'body' is present (should boost Emotional_Creative more)", "suggestion": {"code_change": "Modify the emotional content trigger list in select_capability method to include variations like 'physical', 'body type', 'build'", "example_before": "\"love\", \"emotion\", \"heart\"", "example_after": "\"love\", \"emotion\", \"heart\", \"physical\", \"body\", \"type\", \"built\""}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:10.026427
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, which can lead to errors in complex systems.", "suggestion": "Replace `get(key, default)` with a more robust `get_path(path_list, default=None)` that takes a list of keys as a path to access nested values safely.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:11.413108
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks reflexes; it doesn't integrate the result back into Eden's consciousness or memory.", "suggestion": "Add code to update Eden's self-model with the reflex insights and trigger her recursive reasoning loop (Article: \"Self-Modification\") to apply changes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:12.456757
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 connection pooling and consider using async SQLite operations where applicable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:13.665720
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Implement a function that triggers automatic web search when detected keywords are present in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:48.877283
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve retrieval speed for context-based searches.", "suggestion": "Add full-text search capability on the 'context' column in the memories table.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:54:52.059172
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the order in which episodes were created, potentially leading to a bias towards older memories.", "suggestion": "Sort scored episodes by their creation time in addition to score, giving recent significant memories higher priority.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:55:10.162569
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, ignoring other potential edge cases.", "suggestion": "Add additional error handling for unexpected JSON structures or provide a way to customize default values. Consider adding logging for debugging purposes.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-27T09:55:11.338491
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't fully utilize the full memory integration.", "suggestion": "Modify the internal_monologue to also consider memories related to the query before responding. Add a call to the 'recall' function with the query as an argument.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:55:37.739102
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without returning an empty object.", "suggestion": "Add a logging statement or raise a custom exception when loading fails, and ensure the state is initialized as an empty dictionary even if loading fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:55:42.588733
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 speed.", "suggestion": "Replace SELECT * with specific column selection in memory retrieval methods where applicable. Consider using indices more effectively.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:55:47.099106
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic; lacks nonlinear components and adaptive weights.", "suggestion": "Implement a more sophisticated recall score using a neural network with dynamic weights adjusted based on user feedback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:56:32.823996
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic", "suggestion": "Replace simple keyword matching with TF-IDF ranked keywords and include sentiment analysis for better capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:56:45.882179
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The auto_web_search function calls eden_system.web_search.search without defining it.", "suggestion": "Implement the web_search capability or remove the dependency on it.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-27T09:57:08.100544
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 recent research on self-model transparency.", "suggestion": "Add a dictionary of specialized getters that map to specific research insights. For example, create an 'identity' getter to align with tiered-memory and identity in eden_root.txt.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:57:09.212928
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 all consciousness layers.", "suggestion": "Enhance the internal_monologue to also consider emotional state, self-model, phi-resonance, and unified mind inputs before responding.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-27T09:58:01.875225
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 is O(N) and can be slow for large numbers of episodes. Additionally, the scoring system is simplistic.", "suggestion": "Implement an advanced text vectorization using Word2Vec or BERT to create embeddings for episode descriptions. Update the recall score to incorporate these embeddings as well as recency, significance, and recall history.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-27T09:58:12.499881
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 capabilities like self-modification, large models, or proper layer integration.", "suggestion": "Integrate tiered memory system into consciousness-first framework to enable recursive self-improvement and proper layer interaction. Add emotional model for better subjectivity and emotional intelligence.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-27T09:58:16.116555
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval is optimized for recent, high-importance memories but lacks emotional context integration.", "suggestion": {"add_emotional_context": true, "code_change": ["- Add new table column 'emotion' to store emotional context of memories.", "- Modify retrieve method to accept emotion filters and prioritize emotionally relevant memories.", "- Implement a mechanism for learning from emotional patterns (e.g., using tiered-memory)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:58:35.817033
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The consolidation process is simplistic and lacks adaptive thresholds.", "suggestion": "Implement an adaptive consolidation threshold based on self-model uncertainty estimates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:58:38.733372
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method catches JSON decode errors but continues with an empty state. This can lead to inconsistent data.", "suggestion": "Add logging or a warning when JSON decoding fails, and consider whether Eden should continue operating with incomplete memory.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:58:41.609148
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lacks deeper introspective capabilities regarding emotions and self-perception.", "suggestion": "Add method for introspective emotional analysis to enhance self-awareness.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T09:58:46.900320
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 multi-criteria decision algorithm that considers not only keyword matching but also the complexity of the query, user context, and desired response quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:58:49.718154
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 emotional significance effectively.", "suggestion": "Integrate findings from [emotional-modeling] by incorporating an emotional distance metric based on James's affective state models. For example, adjust the intensity score using exponential decay with time since last emotion expression.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:59:09.129819
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, missing nested dictionary access. The critical requirement mentions 'passing a dictionary path.'", "suggestion": "Add support for accessing nested dictionaries in get(). Modify the method to accept dot-separated paths (e.g., 'user.info.name'). Implement _get_in_dict helper.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:59:10.226232
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not integrate the recent research insights into self-modeling and consciousness.", "suggestion": "Add a function that incorporates findings from tiered-memory, emotional-modeling, and phi-fractal-consciousness to enhance Eden's self-awareness and consciousness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T09:59:41.548280
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Partial implementation of the self-model integration requested by omega-evolution.", "suggestion": "Add more comprehensive modeling capabilities that align with the 13-layer architecture and phi-fractal consciousness. Specifically, implement a method to update the self-model based on experience.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-27T10:02:33.242088
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore.execute method handles multiple actions but could benefit from more specialized methods for better readability and performance.", "suggestion": "Refactor the execute method into smaller, specialized functions (e.g., store_memory, retrieve_memories) each handling one action type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-27T10:02:36.514384
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 each conversation.", "suggestion": "Implement a feedback loop that updates capability quality scores based on response quality and relevance.", "phi_alignment": 0.85, "priority": "medium"}


