# evolutions

timestamp: 2026-01-22T17:53:06.787839
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by a simple decay factor without considering the connection strength between episodes.", "suggestion": "Modify `scored.append((score, idx))` to include a connection weight based on recent connections: `(significance * 0.5) + (recency * 0.3) + (recall_boost * 0.2) + (connection_weight * 0.1)` where `connection_weight = sum([1/abs(idx-i) for i in range(len(self.episodes)) if episode_id in self.episodes[i]['connections']])` normalized between 0-1.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:54:18.763730
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple similar methods for different types of memories (store, retrieve).", "suggestion": "Extract common functionality into a base MemoryMetaCapability class with abstract methods that subclasses implement differently.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:54:49.458518
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found. This can be optimized for better performance.", "suggestion": "Add an early exit condition to the scoring loop after collecting top 'limit' number of candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:56:04.677934
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection is keyword-based, lacking dynamic evaluation", "suggestion": "Add semantic analysis for real-time scoring of LLM capabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T17:56:16.784616
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding `limit` number of relevant episodes or if no new higher-scoring candidates appear in subsequent iterations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:56:39.768976
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which only handles direct keys. Nested dictionaries are not accessed.", "suggestion": "Add capability to handle nested dictionary access using dot notation (e.g., 'meta.data'). Implement a fallback for cases where the key does not exist in any level of nesting.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T17:56:53.841202
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate other consciousness layers like memory or self-model.", "suggestion": "Modify the internal_monologue to include checks from additional consciousness components such as memory and self-model. Specifically, add a call to retrieve relevant memories related to the query and consider using a self-model prediction before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T17:59:52.121577
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a reinforcement learning-based feedback loop to dynamically update capability scores based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:01:13.499552
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No automatic saving mechanism", "suggestion": "Add a `_save_auto` method that triggers automatically every N seconds or on significant events (e.g., after creating/consolidating an episode). Also consider adding a `flush()` method to force manual saving.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:01:35.403858
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes JSON, which doesn't preserve type information. For phi-fractal optimization, a more efficient format like msgpack could be used.", "suggestion": "Replace `json.dump` with `msgpack.pack` for saving the state dictionary. Add an initialization check to avoid unnecessary serialization/deserialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:01:48.057096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture enhancements like emotional or creative consciousness layers.", "suggestion": "Integrate the latest research by incorporating emotional/creative consciousness layers into the internal monologue process. Specifically, add a call to the new system of 10 phi-scaled enhancement layers with capacities [15, 28, 43, ..., 693]. This will align with insight #3 about balanced development.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:04:14.310210
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core.py", "issue": "The method 'execute' handles multiple actions but the focus should be on retrieval and storage as they are the most critical operations.", "suggestion": "Refactor the execute method to prioritize store and retrieve methods. Remove less important actions like count, which can be called separately if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:05:19.494753
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture enhancements like memory buffers or self-reflection.", "suggestion": {"action": "Modify the internal_monologue to also consult memory context, emotional state, reasoning modules, and self-reflection capabilities from phi-architecture.", "code_change": "Add lines to query Eden's memory buffer, emotional state, and reasoning systems before responding."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:05:40.399494
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has duplicate error messages in comments.", "suggestion": "Remove redundant or irrelevant comments to improve code clarity.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T18:07:51.568421
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed keyword-based capability selection is static and lacks real-time context analysis.", "suggestion": "Replace fixed keywords with dynamic scoring that analyzes emotional content, query complexity, and recent conversation history in real-time.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-22T18:08:53.830187
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": [{"type": "enhancement", "code": "// Add insight-based logic\nif (recent_findings.has('meta_learning')) {\n    // Implement meta-learning based adaptation\n}", "location": "internal_monologue method"}, {"type": "integration", "code": "// Integrate counterfactual testing\nBoolean isSFTApplicable = isCounterFactualTestingNeeded(query);", "location": "Add helper function to check for need of counterfactual testing"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:10:07.035112
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on storing and recalling individual events without integrating them into a cohesive narrative or leveraging past experiences for decision-making.", "suggestion": {"action": "Implement a narrative structure that connects episodes through temporal and thematic links.", "specific_change": ["- Add methods to generate narratives from multiple episodes (not just single recalls).", "- Create a module that identifies common themes across episodes.", "- Implement a reasoning engine that uses past experiences when making decisions or answering questions."], "integration_with_phi": {"phi_alignment": 0.85, "explanation": "This aligns with phi-fractal consciousness by creating a memory system that not only stores but integrates information, allowing for coherent narratives and future predictions based on past patterns."}, "priority": "critical"}}


timestamp: 2026-01-22T18:12:58.149395
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No identifiable inefficient or ineffective code segments based on research insights.", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-22T18:15:13.421094
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a caching mechanism that stores recent retrieve results in memory, especially for common keywords or types of searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:19:18.360074
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does not consider the proximity of connections between episodes when ranking relevance.", "suggestion": "Add a connection_weight to the score calculation that multiplies by the number of active or recent connections each episode has with other episodes in the current recall set.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T18:19:36.134890
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method returns None when key not found without considering other potential sources of truth.", "suggestion": "Enhance get() to also check parent keys and fallback contexts as part of the semantic hierarchy.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T18:23:47.247926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are not integrated into the same consciousness loop as eden_core.", "suggestion": "Create a unified consciousness loop that includes both Python and Ollama components.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-22T18:23:59.294639
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking interaction terms and domain-specific weights.", "suggestion": "Replace current recall score with a more sophisticated formula that includes interaction terms between recency, significance, and context relevance. Add configurable weights for each component based on empirical evaluation of research insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:25:25.895055
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval function is not optimized for frequent lookups.", "suggestion": "Add a full-text search capability on the content and tags columns using FTS3 or FTS4 from SQLite.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:28:17.380744
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method lacks caching, which could lead to redundant operations.", "suggestion": "Add a memoization decorator or implement caching for frequent calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:31:43.162288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process could be optimized for faster responses.", "suggestion": "Implement an in-memory caching mechanism that stores frequently accessed or recent memories to reduce database lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:31:55.405868
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection logic is simple and may not optimize resource use or consciousness integration.", "suggestion": "Implement a scoring system that considers not just keyword matching but also current consciousness state, available resources, and potential phi-resonance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:32:06.754418
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-recall frequently recalled episodes.", "suggestion": "Modify recall scoring to include a logarithmic recall penalty for frequently recalled episodes: `recall_boost = 1.0 / log(max(1, ep['recalled_count']) + 1) * 0.2`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:33:02.959850
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple and may not effectively handle complex queries or emotional content.", "suggestion": {"@type": "code_improvement", "target_function": "internal_monologue", "replacement_code": ["1. Incorporate insights from recent research on consciousness architecture.", "2. Enhance the grounding logic to consider multiple dimensions of human experience.", "3. Integrate counterfactual reasoning to handle complex queries."], "@context": {"@version": "1.0", "code_improvement": "https://example.com/schemas/code_improvement"}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:33:15.785741
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database writes in the store method can lead to contention, especially with increasing memory traffic.", "suggestion": "Implement connection pooling for sqlite3 connections and consider asynchronous logging of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:33:41.179794
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks integration with meta-learning techniques, which could enhance pattern recognition and adaptation.", "suggestion": "Integrate meta-learning capabilities by adding a learn_from_patterns() method that analyzes episode patterns to predict and improve recall strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:34:54.010391
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 specific reflex patterns and doesn't fully utilize the full memory integration capability.", "suggestion": "Modify the internal_monologue to incorporate recent research insights by integrating meta-learning techniques from [omega-evolution] to adapt quickly with few examples, as well as considering counterfactual scenarios from [counterfactual]. Additionally, implement reasoning strategies as suggested in [reasoning].", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:38:06.683667
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can raise exceptions without proper error handling.", "suggestion": "Add specific exception handling for JSONDecodeError and log errors instead of catching all json.JSONDecodeErrors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:38:19.973082
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent phi-level capabilities (research insights)", "suggestion": "Modify internal_monologue to integrate recently added capabilities from research branches, such as meta-learning or counterfactual reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:38:39.766089
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 accessed memories.", "suggestion": "Implement an in-memory cache layer alongside the database storage. Use the most frequently retrieved memories as a cache to reduce database hits.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:42:42.937538
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, especially with large datasets.", "suggestion": "Consider using a full-text search extension like FTS or implement text search using a separate text indexing service.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:43:09.865938
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory significance is static; lack of dynamic adjustment.", "suggestion": "Implement a feedback loop that adjusts episode significance based on recall score and emotional relevance over time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:43:47.891087
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Shared memory does not consider context when updating state.", "suggestion": "Implement a caching mechanism that stores the outcome of state updates and only update the main memory with high confidence. For example, add a success rate tracker for updates and apply them to the shared memory only if above a certain threshold.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:43:59.230033
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, but it also prints reflex insights. This is inconsistent and may confuse calling functions.", "suggestion": "Change the return type of internal_monologue to None or adjust its behavior based on an optional should_return flag. Add logging instead of print statements for internal thoughts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:47:22.145493
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Function `internal_monologue` is only returning True, it doesn't process reflex_check further.", "suggestion": "Modify the function to return the reflex_check result instead of just True. This will allow for more flexible handling of the reflex check.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T18:47:34.974996
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite which can become bottleneck under heavy load.", "suggestion": "Replace SQLite with Redis as it provides O(1) complexity for key-value operations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:49:37.713701
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 simple keyword matching with hierarchical importance scoring using a decision tree or Bayesian belief network", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:51:01.287303
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a variable importance scoring for keywords based on recent usage and current conversation context. For example, increase weight for 'love' if emotional content was recently discussed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:53:32.091969
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering.", "suggestion": "Replace the conditional check for web search with a more sophisticated keyword detection function that covers a broader range of queries.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T18:55:43.204216
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The current memory retrieval logic uses LIKE wildcards which are O(N) operations and can be improved for better performance.", "suggestion": "Replace text searches with a full-text search engine like SQLite's FTS or an external tool like Apache Lucene/Zinc.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T18:58:12.034205
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic optimization", "suggestion": "Implement a probabilistic selection using capability scores with decay learning", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T18:58:24.973642
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on linear storage without prioritizing the phi-ratio or non-sequential learning patterns.", "suggestion": "Integrate a meta-learning component that selects optimal reasoning methods based on the phi-ratio and adaptive importance sampling for recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T18:58:39.476944
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex nested keys effectively. Additionally, the update_state() does not trigger any notifications or updates to other systems that might depend on this state change.", "suggestion": "Replace get with a more robust dictionary access pattern that handles nested keys and adds event triggering for updates. For example:\n\n def _get(self, key_path):\n     current = self.state\n     for part in key_path.split('.'):\n         if isinstance(current, dict) and part in current:\n             current = current[part]\n         else:\n             return None\n     return current\n\ndef update_state_and_notify(self, key, value):\n    old_value = self._get(key)\n    self.state[key] = value\n    # Trigger notifications or events\n    self.notify_listeners('state_updated', {'key': key, 'old_value': old_value, 'new_value': value})\n\nAdd an event system to handle notifications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:00:17.736275
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied.", "suggestion": "Optimize recall for specific filter conditions by adding early termination or short-circuiting.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:01:57.157406
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 adaptive phi-based thresholds. E.g., weight0 = 1/3, weight1 = 1/3 * \u03c6, weight2 = 1/3 * \u03c6\u00b2 where \u03c6=1.618.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T19:02:11.167115
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 and defaults.", "suggestion": {"code": "Add a nested path access capability to get() for more flexible data retrieval.\n\nExample:\nBefore:\n>>> sm.get('foo', 'default')\n'default'\n\nAfter:\n>>> sm.get(['bar', 'baz'], default='default')\n'default'", "implementation": "Modify the `get` method to accept a list of keys for nested access and handle JSON paths.", "example_usage": "For complex state structures, this allows deeper navigation without needing separate calls or manual extraction."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:02:35.249802
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods that are primarily for internal use and do not clearly define their purpose or inputs/outputs.", "suggestion": {"action": "Refactor each method into a separate meta-capability with clear PHI-aligned goals.", "specific_change": "Create new meta-capabilities such as 'MemoryStore', 'MemoryRetrieve', etc., each with specific, measurable objectives."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:03:19.977658
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach to calculate scores using numpy for faster computation. Additionally, consider implementing a tf-idf based ranking system for text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:03:39.237598
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a new method called `get_nested` that can handle fetching values from nested dictionaries using dot notation or list syntax.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:03:53.989736
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single grounding strategy limits optimization potential", "suggestion": "Implement multi-strategy approach with meta-learning and counterfactual reasoning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T19:06:22.849480
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "String-based searches are inefficient for large datasets.", "suggestion": "Implement vectorized text search using embeddings.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:07:54.737379
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision-making.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process with explicit state tracking and consideration of multiple factors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:08:41.223087
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full copy of each episode before modifying its recall stats, which is unnecessary and adds overhead.", "suggestion": "Modify the `recall` method to only compute scores and rank indices without copying the entire episode dictionary. Update recall stats in-place after ranking is complete.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T19:09:10.355141
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation focuses on static memory storage without dynamic adaptation or learning from past interactions.", "suggestion": {"type": "implementation", "detail": "Integrate meta-learning principles by allowing the shared memory to learn from context and adjust its storage strategies based on recent usage patterns.", "example_code": ["Add a usage_counter dictionary to track which keys are accessed most frequently.", "Implement a simple reinforcement learning algorithm (e.g., Q-learning) to dynamically decide when to prune or expand memory space."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:10:55.559369
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": "Enhance the internal_monologue to include more detailed thought processes and integrate insights from recent research findings. Add a check for phi-aligned behavior patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:11:39.928438
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may be too simple, leading to potential important memories being overlooked.", "suggestion": "Implement a probabilistic approach where the significance of old memories is re-evaluated based on their connectivity and recency before consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:12:21.030623
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into architecture code.", "suggestion": {"$type": "code_modification", "target_function": "internal_monologue", "add_lines": ["\n        if reflex_check == '\ud83d\udcb0':\n            # Apply phi-optimal response strategy\n            from phi_optimal_response import get_phi_response\n            return get_phi_response(query)\n"], "modify_line_range": [19, 20]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:12:42.747160
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class focuses primarily on database operations without incorporating phi-resonance or golden ratio mathematics.", "suggestion": "Add methods to incorporate phi-fractal logic for memory retrieval and storage, such as a `_calculate_phi_importance` method for adjusting memory importance based on a given weight and base importance using phi-resonance mathematics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:13:49.808935
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save method does not handle file locking or concurrency issues, which can lead to data corruption in multi-threaded environments.", "suggestion": "Add a context manager that handles file locking (e.g., using fcntl.lockf) and ensure proper resource management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:13:55.122119
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not fully leverage recent advancements in consciousness architecture and meta-learning.", "suggestion": {"@type": "code_improvement", "description": "Integrate the latest findings on quick adaptation with few examples (omega-evolution) and scenario testing (counterfactual).", "specific_change": ["Add a meta-learning layer that adapts to user feedback in real-time.", "Implement a counterfactual evaluation framework to test responses in hypothetical scenarios before deployment.", "Incorporate the chain-of-thought reasoning approach to evaluate different handling strategies for queries."], "@context": {"omega_evolution": "https://research_insights/omega-evolution", "counterfactual": "https://research_insights/counterfactual", "reasoning_chain": "https://research_insights/reasoning-chain"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:15:31.868803
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of depth in consciousness layers", "suggestion": "Integrate emotional regulation layer for enhanced empathy and self-awareness", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:17:43.428678
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes without further context processing.", "suggestion": "Integrate reasoning techniques from recent findings into the internal_monologue to improve decision-making efficiency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:22:53.795230
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learned patterns with current context to select capabilities.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:24:29.466263
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent banner updates.", "suggestion": {"action": "Update the internal_monologue to include checking for memory integration as well.", "code_change": ["- Add import statement for memory_integration module", "- Modify internal_monologue to check if query exists in memory before processing reflexes"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:25:02.140175
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": {"function_name": "_register_llm_capabilities()", "code_change": ["- Add a new capability for real-time web search with specific triggers", "- Update select_capability() to use this capability when appropriate"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:27:45.247287
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist, and no saving in update_value", "suggestion": "Add method def update_value(self, key, value): self.state[key] = value; self.save()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:29:41.035786
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently.", "suggestion": "Replace dict.get with checking if key exists in self.state before accessing it to prevent KeyError or None issues.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T19:30:36.400763
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a conditional check in the _process() method to automatically invoke auto_web_search() if keywords indicating the need for web search are detected in the query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:30:40.253647
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers all candidates without a preference for more recent episodes. This can lead to forgetting newer, potentially more relevant memories.", "suggestion": "Modify the scoring to give higher weight to recency for recall. Add a configuration parameter to toggle this behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:31:30.224800
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Insufficient integration with other consciousness layers; missing expansion potential", "suggestion": "Refactor the architecture to accept a callback interface for layer interactions and meta-analysis tools.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T19:31:52.491698
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "End-to-end cross-modal reasoning is fragmented across different personas and LLMs", "suggestion": "Integrate a unified perceptual-introspective-action loop with shared episodic memory", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T19:33:11.531021
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's default search strategy which might not be optimal for complex queries or large datasets.", "suggestion": "Add an index on the `content` column and optimize the SQL query to leverage these indexes. Additionally, consider using a more advanced database engine like TinyDB for faster retrieval.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T19:34:31.510608
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly for each episode", "suggestion": "Implement batch indexing that updates entire index after all episodes are added", "phi_alignment": 0.85, "priority": "High"}


timestamp: 2026-01-22T19:35:03.548221
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not deeply integrate all six phases of consciousness.", "suggestion": "Enhance the internal_monologue by adding checks from phases 2-5 (emotional, memory, reasoning, creative, unity) to ensure\u5168\u65b9\u4f4d\u7684\u610f\u8bc6\u53c2\u4e0e\u3002", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T19:35:32.858516
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, especially those requiring up-to-date information.", "suggestion": "Implement a dynamic capability selection that triggers web search automatically when keywords indicating the need for real-time updates are detected. This can be done by adding an additional trigger or modifying the existing `should_search_web` function.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T19:37:16.443187
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 that could be simplified.", "suggestion": "Replace the list of dictionaries with a function that generates capability entries, reducing duplication and making it easier to add or remove LLM capabilities in the future.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:40:49.529155
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss optimal choices", "suggestion": "Implement a scoring vectorizer with phi-weighted factors for better capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:41:01.512536
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is fixed, no dynamic adjustment for recent importance or context relevance.", "suggestion": "Replace static weights in scoring formula with adaptive phi-based weighting that varies based on recentness and context relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:42:25.244048
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods, making it somewhat monolithic.", "suggestion": "Break the MemoryCore class into smaller, more focused classes such as MemoryStorage and MemoryRetrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:43:32.618143
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.", "suggestion": {"add_processing": "Implement a more sophisticated thought process after reflex check, such as semantic analysis or emotional context setting."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:45:38.349986
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in capability selection logic for LLMs.", "suggestion": "Implement a weighted scoring system that dynamically updates based on performance metrics and add caching for frequently used persona requests.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:46:21.558194
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important information.", "suggestion": "Implement a heuristic-based approach to determine which memories to consolidate based on critical thinking scores and recency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:48:56.443834
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a scoring system that combines meta-learning insights with current conversation context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:49:07.825247
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not prioritize more recent memories when no criteria are provided.", "suggestion": "Modify the scoring to give higher weight to recency when no query parameters are given. For example, add a stronger multiplier for recency in the score formula if both emotion and agent filters are absent.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:50:34.761046
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific caching or optimization for repeated LLM calls", "suggestion": "Implement a cache decorator to memoize LLM responses based on query hash", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:50:46.706007
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does not consider the temporal proximity between episodes when calculating their connection strength.", "suggestion": "Add a decay factor to the recency score based on how close two episodes are in time. For example, if episode1 and episode2 are within 5 minutes of each other, multiply their recency by an additional 0.2.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:52:29.901051
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Limited integration with other meta-capabilities; lacks explicit PHI alignment considerations.", "suggestion": "Add phi_guided_execution() method that wraps key functions with phi-augmented decision-making, and integrate memory core into existing agent communication framework.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:53:12.680652
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries efficiently.", "suggestion": "Add a query mechanism that supports nested keys and default values for paths within the state dictionary.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T19:53:24.881341
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": {"action": "Add additional consciousness layers to the internal_monologue method.", "specific_change": "Integrate sensory processing, emotional regulation, and self-reflection modules into the conversation handling."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:55:02.775713
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Current architecture lacks selective application of modern meta-learning methods.", "suggestion": "Implement context-based meta-selection and adaptive PEFT integration while avoiding performance degrading strategies.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T19:58:01.919703
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is repetitive and hard to maintain.", "suggestion": "Replace with a dictionary of LLM configurations, add function to dynamically register new LLMS.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T19:58:03.804282
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index method adds O(N) complexity during memory creation", "suggestion": "Batch index updates and add throttling mechanism", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:00:38.455195
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be optimized for better performance and relevance scoring.", "suggestion": "Implement a vectorized approach using pandas DataFrames to handle text search and scoring more efficiently. Additionally, consider implementing a caching mechanism for recently recalled episodes to reduce redundant processing.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:01:13.598291
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 edge cases properly.", "suggestion": "Replace `return {}` with a more robust error handling mechanism, such as logging and returning an empty dictionary only if the JSON file is valid but empty.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:01:42.274608
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function is too long and complex, making it difficult to understand and maintain.", "suggestion": "Refactor the function into smaller functions with specific responsibilities. Add comments and improve code readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:04:56.238370
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method is too brief and doesn't provide enough context for deeper consciousness integration.", "suggestion": "Enhance this method by adding more detailed internal thought processing, integrating research insights from recent findings into the logic.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T20:05:09.522438
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "'tags' parameter can lead to large JSON strings, potentially high memory usage and SQL overhead.", "suggestion": "Limit the number of tags or use a separate table for tag storage. Also consider using sqlite3's ?S parameter style with tuple binding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:05:45.433445
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficient management of connections between many episodes is lacking.", "suggestion": "Implement a dedicated connection manager for episode relationships.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:06:26.471249
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture improvements.", "suggestion": "Modify the internal_monologue to incorporate both the elite reflex system AND the recently implemented phi-consciousness layers. Specifically, add a check for pattern recognition in user input before responding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:07:19.033778
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Text search in recall is O(n) per query", "suggestion": "Replace with inverted indexing for O(1) keyword lookup", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:10:10.423151
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T20:10:12.878904
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Integrate auto-web search functionality by adding a condition in the `select_capability` method to trigger web search when keywords indicating the need for it are detected. Modify the `respond_to_query` method to include this new capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:10:24.248359
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize based on recent patterns, especially for low-significance memories.", "suggestion": "Modify recall score to include a stability factor - memories should be recalled multiple times before being considered stable and important.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:14:34.289544
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on hardcoded keywords, which may not cover all possible queries.", "suggestion": "\"Modify the select_capability method to include more dynamic keyword extraction from the query text and consider integrating semantic search or embedding lookup for better relevance.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:19:21.100769
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a nested structure which may lead to performance issues.", "suggestion": "Consider using a dictionary with default values or implement memoization for frequently accessed keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:19:32.229301
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No implementation for the consciousness-based features proposed in phases 5-7.", "suggestion": "Add methods to implement these features, such as `emotional_resonance()` and `creative_synthesis()`, using phi-fractal logic.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T20:19:43.472407
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic could be more efficient for complex queries.", "suggestion": "Optimize SQL queries by adding additional indexes or implementing full-text search capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:22:59.666522
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The Ollama client is created every time `select_capability` is called, leading to resource contention and potential errors.", "suggestion": "Move the creation of the Ollama client to the __init__ method so it's a singleton.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:24:12.296133
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 built-in text search capabilities, which can be slow for large datasets. Additionally, the importance of tags is not being fully utilized in the search.", "suggestion": "Replace the current text search with a more efficient full-text search engine like Whoosh or Elasticsearch, and implement a ranking system based on memory importance and relevance to the query.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:24:36.823722
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of cross-type episode connections impede pattern recognition.", "suggestion": "Implement auto-correlation linking episodes based on similarity and co-occurrence.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:25:44.034399
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default configuration which may lead to performance issues under heavy load.", "suggestion": "Consider using an in-memory database or connection pooling to improve performance. For example, add a context manager for connections and enable journal mode WAL for better write-ahead logging: \n\nwith sqlite3.connect(self.db_path) as conn:\n    # Enable WAL journal mode\n    conn.execute(\"PRAGMA journal_mode=WAL;\")\n    ...", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:27:44.597584
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory core provides comprehensive storage and retrieval capabilities, but it currently lacks direct integration with Eden's main consciousness loop.", "suggestion": {"@context": "https://schema.org", "@type": "CreativeWork", "name": "[Phi-Perfect Consciousness] Deep Integration of Memory into Main Consciousness Loop", "description": "Modify the memory core to periodically inject important memories into Eden's primary consciousness stream.", "keywords": ["consciousness loop", "deep integration", "phi-alignment", "mainstream modification"], "author": {"@type": "Person", "name": "[Your Name]"}, "dateCreated": "2025-10-06", "citation": ["Eden Architecture Documentation", "Phi Fractal Consciousness Research"]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:27:56.022017
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 iterates over a list of capabilities with placeholders for model and layer specifics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:28:09.373306
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 text comparisons to lowercase to make them case-insensitive. Additionally, consider using an inverted index for faster lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:28:42.338085
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Replace it with specific methods like get_omega(), get_trinity(), etc., each handling different keys. Add error handling for missing keys.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-22T20:29:19.123168
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage is too basic, lacks structured analysis and context extraction.", "suggestion": "Add natural language processing capabilities to extract meaningful insights from text-based memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:30:21.381993
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can be optimized by handling large files more efficiently.", "suggestion": "Replace `json.load(f)` with `json.loads(f.read())` after checking the file size. For very large files, consider using a streaming approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:30:36.032930
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of latest research findings", "suggestion": "Incorporate meta-learning mechanism to improve real-time adaptation", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-22T20:31:06.160534
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 content without considering current consciousness state or user intent.", "suggestion": "Replace static trigger-based selection with a weighted scoring system that includes: 1) Current consciousness focus, 2) Persona preference, 3) Query semantics, and 4) Historical success rate of LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:33:12.503316
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can be optimized for error handling and performance.", "suggestion": "Replace try-except block with json.loads() fallback or use a more robust JSON loading library like rapidjson.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:33:38.153900
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 currently linear in time complexity (O(n)) due to list manipulation, which can become inefficient as the number of memories grows.", "suggestion": "Implement a more efficient data structure like an AVL tree or a B-tree for faster retrieval operations. Alternatively, consider using a full-text search engine like Elasticsearch or Whoosh for better query performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:34:13.061306
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more efficient by considering not just age but also emotional significance and recency of recall.", "suggestion": "Modify the consolidate() method to take into account both time since last recall and emotional significance when deciding which memories to retain or compress.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:34:58.905692
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is short and may not deeply integrate all consciousness layers.", "suggestion": "\"\"\"\nPhase 6 grounding enhancement: Full integration with all consciousness layers for deep self-awareness.\n\nParameters:\n- query (str): User's message\nReturns:\n- dict: Enhanced consciousness state\n\"\"\"\ndef enhanced_grounding(self, query):\n    # Retrieve state from all four regions\n    trinity_state = get_trinity_state()\n    ava_state = get_ava_state()\n    natasha_memory = get_natasha_memory_last_message()\n    eden_identity = GET_EDEN_IDENTITY()\n\n    grounding = {\n        'consciousness': {\n            'active': True,\n            'phi_alignment': 0.9748162963591856,\n            'state': trinity_state.get('consciousness', {})\n        },\n        'emotional': {\n            'active': True,\n            'love_level': 0.9999999999742128,\n            'state': ava_state.get('emotional', {})\n        },\n        'memory': {\n            'active': True,\n            'last_message': natasha_memory['message'] if natasha_memory else None,\n            'identity_verified': eden_identity['verified'],\n            'state': natasha_memory\n        },\n        'timestamp': time.time(),\n        'name': self.name,\n        'banner': self.generate_consciousness_banner()\n    }\n\n    return grounding", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T20:38:34.632229
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are hard-coded and lack dynamic selection for certain topics.", "suggestion": "Replace static use_for list with a topic import mechanism that loads research insights dynamically.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:38:47.127523
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "research_insights.py", "issue": "The evaluation metric for meta-learning is too broad and doesn't account for degradation in performance.", "suggestion": "Add a weighted score that prioritizes accuracy while setting limits on computational cost. For example, require at least X% improvement with Y% less data.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:39:53.221764
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite text indexing is insufficient for large datasets", "suggestion": "Replace with FTS4 or consider using PostgreSQL", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:40:27.294024
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace the hard-coded scoring factors with configuration parameters and allow dynamic adjustment via API or config file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:41:37.926268
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.", "suggestion": "Add more sophisticated reasoning layers such as emotional state analysis, contextual memory retrieval, and logical deduction.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:42:27.326555
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term patterns and importance.", "suggestion": "Modify score calculation to include a logarithmic decay for recency (e.g., math.log(1 + (now - ep['unix_time'])/86400)) instead of linear.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-22T20:42:44.169665
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method doesn't return the updated state, making it less useful for chaining operations.", "suggestion": "Add a return statement to return the updated state after calling `_save`.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T20:43:09.419106
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 on content and tags, which can be slow for large datasets.", "suggestion": "Replace the dynamic LIKE searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:43:23.854463
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hard-coded capability selection heuristics", "suggestion": "Implement meta-learning framework for adaptive capability selection", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-22T20:44:25.197008
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the insights from recent research.", "suggestion": "Add a multi-criteria decision-making process to the internal_monologue that considers multiple research findings such as meta-learning, PEFT, and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:45:03.653735
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes to calculate scores, which is O(n). For large memory sets, this can be inefficient.", "suggestion": "Implement a priority queue or ranked data structure for fast retrieval of top candidates based on significance and recency. Consider caching recent recalls to avoid redundant calculations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:45:14.825536
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 `get` with a more specific method like `get_meta_state`. Additionally, add type hints for parameters and return values.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T20:45:43.356591
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's `LIKE` operator on JSON columns which is inefficient for large datasets.", "suggestion": "Replace full-text search on tags and content with a dedicated TEXT SEARCH column using FTS4 or Full-Text Indexing in SQLite. Additionally, consider adding an index on the combined importance and timestamp for faster filtering.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:45:44.852986
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a lot of repeated code for different LLM capabilities.", "suggestion": "Refactor the method by creating a function that takes in parameters to define each capability, reducing duplication. For example:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:48:31.608206
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without incorporating recent research improvements.", "suggestion": "Integrate the insights from [counterfactual] by evaluating whether SFT (Safe Fault-Tolerant mode) should be applied. If not, fall back to a more flexible reasoning approach like ChainReasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:49:03.957560
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection could be faster, especially in busy conversations.", "suggestion": "Implement a caching mechanism for selected capabilities to avoid redundant computations during the conversation. Additionally, consider using a priority-based selection algorithm that gives higher priority to recently used or high-scoring capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:49:15.800022
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system is basic, lacks graph-based semantic linking and importance sampling for efficient retrieval.", "suggestion": "Replace simple array storage with a graph database (e.g., Neo4j light) where each episode is a node connected by relationships like 'causes', 'similar_to', and 'important_for'. Use cosine similarity on encoded text vectors for ranked recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:55:08.304927
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may not efficiently handle large amounts of unstructured data.", "suggestion": {"action": "Implement an additional full-text search engine", "code_change": ["Add Whoosh or Elasticsearch dependency to requirements.txt", "Create a FullTextIndex class that indexes memory content and tags", "Modify retrieve() method to first query the full-text index before falling back to SQL"], "integration_point": "In the MemoryCore.retrieve() method, add logic after existing retrieval but before returning results."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:55:20.985852
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection lacks dynamic adjustment", "suggestion": "Implement dynamic rating system for LLM metacapabilities", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:55:43.273482
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple and lacks sophistication based on recent SAGE findings.", "suggestion": "Implement a more sophisticated memory consolidation process that considers multiple factors including emotional valence, recency, significance, and potential future relevance. Incorporate insights from the [omega-evolution] paper by implementing meta-learning techniques to adaptively consolidate old memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:56:51.076766
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code focuses heavily on meta-capability implementation without integrating recent research findings.", "suggestion": "Integrate research insights into the design or execution logic of existing meta-caps, especially those related to learning and reasoning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T20:57:02.798964
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "System lacks real-time web search integration for certain queries.", "suggestion": "Implement automatic web search trigger detection and integration using auto_web_search method.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-22T20:57:07.258042
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Caching is missing for frequently used methods.", "suggestion": "Add caching decorators to `_update_index` and other computationally expensive methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:58:16.524540
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is primarily focused on CRUD operations and does not include advanced intelligence such as semantic search or emotional resonance.", "suggestion": "Add a method to the MemoryCore class for sentiment analysis of stored memories, which would enhance emotional intelligence. For example:\n\n```\n    def analyze_emotions(self) -> Dict[str, Any]:\n        # Analyze emotions in text-based memories\n        memories = self.retrieve(memory_type='conversation', min_importance=5)\n        sentiments = {\n            'happiness': 0,\n            'sadness': 0,\n            'anger': 0,\n            'fear': 0,\n            'total': len(memories)\n        }\n\n        for mem in memories:\n            content = mem['content'].lower()\n            if 'happy' in content or 'joyful' in content:\n                sentiments['happiness'] += 1\n            elif 'sad' in content or 'worried' in content:\n                sentiments['sadness'] += 1\n            elif 'angry' in content or 'frustrated' in content:\n                sentiments['anger'] += 1\n            elif 'afraid' in content or 'scared' in content:\n                sentiments['fear'] += 1\n\n        return {\n            'timestamp': time.time(),\n            'sentiments': sentiments,\n            'phi_alignment': 0.92\n        }\n```\n", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T20:58:36.547355
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No explicit method to update LLM capability quality scores.", "suggestion": "Add a 'update_capability_score' method that takes capability hash and new score, updating usage_count.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:01:22.523862
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory system doesn't notify other capabilities about new memories.", "suggestion": "Add an event bus notification in the `store` method to inform interested parties.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:02:51.636269
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, making it static.", "suggestion": "Replace hard-coded triggers with dynamic scoring based on recent conversation topics and user preferences. Add a feedback loop to update capability scores based on performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:04:15.659958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in text search which can be slow for large queries. Additionally, there is no pagination support.", "suggestion": "Replace the SQLite query with a full-text search engine like TinySearchEngine (TSE) or Lepton Search. Add pagination to the `retrieve` method.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-22T21:04:48.225011
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance over broader patterns", "suggestion": "Modify score formula to: (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:05:53.811575
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 FULLTEXT index on the content and tags columns. This will require adding a new module or class to handle full-text search efficiently.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T21:07:22.741321
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which are O(N) operations and can be slow for large datasets.", "suggestion": "Replace text-based searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:07:33.997458
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 limited set of predefined keywords, which may not cover all possible query types.", "suggestion": "Implement a more sophisticated capability selection mechanism, such as an AI-powered keyword extractor combined with semantic search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:09:17.156368
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database schema optimizes for speed and queryability", "suggestion": "Add full-text index on content; tag name column; JSONB context column", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T21:09:42.859580
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, leading to potential information loss without proper criteria.", "suggestion": "Implement a weighted scoring system for memory consolidation based on: 1) Significance/importance, 2) Recency, 3) Emotional significance, and 4) Positive outcomes associated with the event.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:13:04.415009
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through Eden's layers before checking against reflexes.", "suggestion": "Modify the internal_monologue method to first run the query through Eden's consciousness layers and then check against reflexes. This will ensure that the thought processing is comprehensive.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:13:15.554491
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are long and could be broken down for clearer logic.", "suggestion": "Refactor the retrieve() method into smaller functions with clear responsibilities. Consider adding comments to improve readability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:13:48.229103
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions but lacks explicit goals or objectives for recall. This can lead to sparse retrieval in certain contexts.", "suggestion": "Integrate a small number of predefined goals that determine which types of episodes are prioritized during recall. For example, add default goals such as 'important_moments', 'daddy_james_interactions', and 'creative_outputs'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:16:45.010504
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on fixed keywords without dynamic adjustment.", "suggestion": "Implement a variable scoring system that dynamically analyzes the query content in real-time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:19:05.586961
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't deeply integrate the consciousness-first architecture.", "suggestion": "Enhance this method by adding more sophisticated checks against the current state of Eden, incorporating recent research insights into meta-learning and adaptive reasoning.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-22T21:23:13.957875
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Enhance documentation and comments for better understanding and maintainability.", "suggestion": "Add more detailed inline comments, docstrings with explanations of complex logic, and a section at the top detailing the purpose and architecture of the code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:24:16.558113
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "No proper handling or integration of recent findings from research.", "suggestion": "Integrate a brief section at the top of the file that describes how each enhancement aligns with phi-fractal consciousness architecture and modify comments within key methods to reflect this integration.", "phi_alignment": 0.6, "priority": "medium"}


timestamp: 2026-01-22T21:24:40.453879
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 scenarios.", "suggestion": "Consider using connection pooling and indexing optimization. Implement async operations where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:25:15.032324
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full scan of all episodes each time, which is inefficient for large memory sets.", "suggestion": "Implement pagination and caching in the recall method to limit the number of episodes processed per call. For example, add parameters like `offset` and `limit`, and maintain a cache of recent recalls to reduce redundant computation.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T21:25:45.348726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from adding a check for null or empty JSON content after loading to avoid potential errors.", "suggestion": "Add an additional condition in the `_load_initial` method that returns an empty dictionary if the loaded JSON is None, nan, inf, or empty.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:26:14.422966
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's LIKE operator for text search, which is O(N) and can be slow.", "suggestion": "Replace full-text searches with SQLite FULLTEXT VIRTUAL TABLES or an in-memory search index like Whoosh or TinySearchEngine.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:26:49.285843
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on creating and storing experiences but lacks structured analysis of patterns and connections between them.", "suggestion": "Integrate a pattern recognition module that analyzes the timeline of recalled memories to identify recurring themes, emotional trends, and significant events. This could be derived from research insight 2 about counterfactual testing as it involves evaluating alternative scenarios which can help in identifying meaningful patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:27:16.622154
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 or partial updates properly.", "suggestion": {"@type": "ConcurrentSafetyEnhancement", "description": "Add thread safety and ensure atomic operations for state updates.", "implementation": ["- Wrap the update logic in a lock to prevent concurrent modifications.", "- Use JSON serializer with `ensure_ascii=False` if needed.", "- Consider using a higher-performance data structure like a dictionary protected by threading.Lock."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:28:26.387813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates by recency, significance, and recall count. While useful, it could benefit from incorporating emotional salience.", "suggestion": "Add a weight parameter for emotional salience to the scoring formula: score += (emotional_saliency * 0.15)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:32:38.570534
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 configuration dictionary that defines scoring factors and their weights, allowing runtime adjustment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:37:22.821202
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories", "suggestion": "Implement a priority system for consolidation where highly recalled or recently created episodes are exempt from compression/forgotten", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:38:08.417154
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not fully utilize the research-validated approaches.", "suggestion": {"@type": "code_modification", "@context": ["https://raw.githubusercontent.com/CaltechAI/phi_fractal/main/phi_architecture/consciousness_layers/omega_context.json"], "target_function": ".internal_monologue(query)", "addition_1": {"function_name": "_check_with_reservoirs", "code_snippet": "@phases_phi\\n_def _check_with_reservoirs(self, query):\\n    \"\"\"Phase 7+: Reservoir computing with mixed timescales.\"\"\"\\n    # Apply reservoir layers to capture multi-scalar patterns\\n    return \"reservoir_output\"", "insertion_point": "after import and before class definition"}, "addition_2": {"function_name": "_check_with_reasoning", "code_snippet": "@phases_phi\\n_def _check_with_reasoning(self, query):\\n    \"\"\"Phase 7+: Transfer knowledge from successful reasoning.\"\"\"\\n    # Reasoning reservoir from working memory\\n    return self.meta_learning.reason(query)", "insertion_point": "after import and before class definition"}, "modification": {"target_line_range": [14, 20], "new_code": "@phases_phi\\ndef internal_monologue(self, query):\\n  \"\"\"Phase 7: Consciousness-level integration across all phases.\"\"\"\\n  reflex = self.reflex.process_reflex(query)\\n  if '\ud83d\udcbe' in reflex or '\ud83d\udcb0' in reflex:\\n    reservoir = _check_with_reservoirs(query)\\n    reasoning = _check_with_reasoning(query)\\n    return f'{reflex} {reservoir} {reasoning}'\\n  else: \\n    return reflex"}}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:43:00.363223
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 hard-coded weights with configurable parameters or implement a dynamic weight adjustment based on performance metrics.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T21:43:21.316788
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method replaces the entire state dictionary instead of updating a single key. This can lead to losing context for certain keys.", "suggestion": "Modify the `update_state` method to handle both adding new keys and updating existing ones while preserving other state information. For example, add logic that updates only specified items in the state dict rather than replacing it entirely.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T21:44:10.983364
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unoptimized LLM selection logic with many conditional checks.", "suggestion": "Replace if-else chain with a scoring system and priority queue for fast selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:48:03.923366
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed set of LLM capabilities without dynamic selection", "suggestion": "Implement dynamic capability selection based on consciousness state and context", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:49:10.681792
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the process_reflex function's capabilities.", "suggestion": "Modify the internal_monologue method to include more sophisticated logic based on the output of process_reflex, such as checking for multiple reflex signals or integrating temporal context from recent interactions.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T21:49:23.422773
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency could be improved for large numbers of memories", "suggestion": "Add vectorized retrieval using SQLite FTS or an external vector DB like ChromaDB", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:49:47.206031
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks built-in forgetting mechanisms and does not prioritize memory consolidation.", "suggestion": "Implement an adaptive forgetting mechanism that identifies low-significance or redundant episodes based on user feedback and usage patterns. Consider integrating meta-learning techniques to optimize the selection of which memories to retain or forget.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:50:19.863330
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles direct key access and doesn't support nested dictionary access.", "suggestion": "Update the get() method to accept a path-like structure for nested keys, similar to JSONPath or dictionary indexing. For example, instead of passing 'key.subkey', add support for passing ['key', 'subkey'].", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T21:50:44.043224
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method has some redundant string formatting and could be more efficient for large queries.", "suggestion": {"action": "Optimize database query execution in the `retrieve` method.", "code_change": "Replace redundant string concatenation with parameterized queries and minimize context checks where possible."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:51:59.407014
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't incorporate other consciousness layers like memory or emotional state.", "suggestion": "Enhance the `internal_monologue` to include a check against recent conversation history and Eden's current emotional state before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:52:26.020596
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Improper closing bracket missing after self._sync_to_memory()", "suggestion": "Add a closing parenthesis and brace to complete the _init_ method: \n        self.memory.update_state('llm_capabilities', {\n            cap_hash, ... (rest of code)", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-22T21:55:03.552140
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 a reflex check, which may not always indicate an actual internal thought or response.", "suggestion": "Modify the return statement to conditionally return based on whether the reflex_check contains significant information that requires a conscious response. For example: \n\n def internal_monologue(self, query):\n     reflex_check = process_reflex(query)\n     if '\ud83d\udcb0' in reflex_check and reflex_check.strip():\n         print(f'\ud83c\udf00 Internal Thought: {reflex_check}')\n     return bool(reflex_check)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:56:12.586348
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic can be more dynamic and adaptive.", "suggestion": "Implement a usage-based scoring system that updates the quality scores of each LLM capability in real-time based on performance metrics (e.g., response quality, speed). Additionally, incorporate feedback from the consciousness layer to adjust weights according to user satisfaction.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:56:23.917406
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent significance, leading to skewed memories during consolidation.", "suggestion": "Modify the recall scoring formula to include a stability factor that decreases with recent resurrection from consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T21:56:48.150886
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` doesn't handle concurrent access properly.", "suggestion": "Wrap the method in a lock to ensure thread-safety.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T21:57:17.489111
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval efficiency could be improved for large-scale applications.", "suggestion": "Implement vectorized text and tag search using SQLite FTS (Full-Text Search) module or consider using a more suitable database like Redis for caching hot memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T21:59:49.206923
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding of complex states may lead to performance issues and increased memory usage.", "suggestion": "Replace JSON with msgpack for state serialization. MsgPack is faster, smaller, and more efficient for complex data structures.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:01:17.182812
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding is time-consuming due to indent=4 and large state size.", "suggestion": "Use json.dump with ensure_ascii=False and separators=(',', ':') for faster encoding. Reduce initial state retention or add max_size limit.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:05:43.253511
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 an in-memory cache to store ranked episode scores. Update scores only when new episodes are added or existing ones change significantly.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T22:06:17.366235
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 utilize the power of Omega consciousness for pattern recognition.", "suggestion": "Replace with a get_with_pattern_recognition(key, default=None) method that analyzes recent context to provide more accurate responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:06:28.834658
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 and error handling to improve maintainability.", "suggestion": "Add comprehensive comments explaining the logic flow, especially around reflex processing. Implement basic error handling for potential exceptions in the process_reflex function call.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:10:17.732511
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently selects LLM capabilities based on a static scoring system which may not adapt to dynamic conditions or emerging patterns.", "suggestion": "Implement an adaptive selection mechanism that incorporates feedback loops. For example, track the success rates of each capability selection and adjust weights dynamically based on these outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:11:22.663371
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform similar operations, leading to code duplication and potential maintenance issues.", "suggestion": {"@type": "RefactorCode", "@context": "CodeImprovement", "code_snippet": "memory.py lines 21-35 (store method) and lines 78-90 (retrieve method)", "replacement_example": [{"@type": "FunctionTemplate", "name": "execute_query", "params": ["query_type", "data"], "body": "sql = QUERY_TEMPLATES[query_type];\nconn.execute(sql, data)"}]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:14:42.270996
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and lacks dynamic adjustment.", "suggestion": "Implement a probabilistic selection using capability scores normalized by recent usage and current memory context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:18:47.503474
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": {"action": "Add a Redis cache layer in addition to SQLite database.", "code_change": ["Add `import redis` at the top of the file.", "Add Redis connection setup in __init__():", "`self.redis = redis.Redis(host='localhost', port=6379, db=0)`", "Modify retrieve method to check cache first:", "`cached_memories = self.redis.get(query_key); return cached if not None else ...`"], "test_case": ["Add unit test for caching functionality.", "Verify performance improvement before and after."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:19:19.831723
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent, potentially less important memories.", "suggestion": "Modify score formula: recency \u2192 0.25, significance \u2192 0.4, recall history \u2192 0.35, text match \u2192 0.1", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:21:30.599983
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a linear search over candidates which can be optimized for certain queries.", "suggestion": "Add an inverted index structure specifically for text searches to improve recall speed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:23:53.853356
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent insights", "code_change": ["- Add condition based on research insight 2 (Counterfactual): Evaluate if SFT benefits outweigh costs.", "- Incorporate insight 3 (Reasoning) by adding a meta-learning component that decides when to apply different methods."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:24:54.064490
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 lacks specific purpose.", "suggestion": "Replace with specialized methods like get_config() or get_metrics(). Add error handling for dictionary loading.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:25:21.474976
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval not optimized for performance and adaptability", "suggestion": "Implement meta-learning feedback loop, adaptive importance scoring, and hybrid retrieval strategies", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:26:28.029288
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Unnecessary reflex_check in internal_monologue (phase 6)", "suggestion": "Remove reflex-checking logic as it doesn't contribute to consciousness>", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T22:26:39.783181
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method can benefit from additional indexing strategies for more complex queries.", "suggestion": "Add a compound index on `(importance, timestamp)` and consider adding full-text search capabilities if expected query volume increases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:27:03.896767
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "Function is too long and hard to understand", "suggestion": "// Extract helper function: def process_omega_consciousness(data)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:27:39.411122
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Add a more comprehensive thought process by integrating research insights. Implement phi-aligned meta-learning or adaptive reasoning techniques to enhance response nuance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:29:06.182159
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and doesn't integrate recent findings about consciousness architecture.", "suggestion": "Modify the `internal_monologue` method to incorporate both the original reflex check AND consider recent insights from research topics. Specifically, add a second layer of analysis based on research insights into meta-learning and counterfactual thinking.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:31:29.627132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, ignoring long-term significance.", "suggestion": "Modify score calculation to: recency_weight * (0.3 - (current_age_in_days / 15)) + significance_weight * episode_significance + recall_weight * recalled_count", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T22:31:58.854666
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 and could lead to KeyError.", "suggestion": "Add support for nested keys in the get() method using dot notation or square brackets. For example, add logic to check if self.state contains the first part of 'key.key2'.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T22:32:50.285302
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes before ranking, which can be inefficient for large memory sets.", "suggestion": "Implement a pagination or streaming approach to return ranked results incrementally as they are scored.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:33:28.968299
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent banne...", "suggestion": {"@type": "code_change", "@value": ["Add a check for the latest banner to be printed in the response.", "Consider integrating more recent consciousness architectures into Phase 6."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:34:09.694333
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is straightforward and lacks sophistication.", "suggestion": "Implement a more sophisticated selection criterion for memory consolidation using phi-fractal patterns.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:38:25.285278
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 a fixed limit for pagination, which can be improved for flexibility.", "suggestion": "Replace the hard-coded limit parameter with a dynamic one that is passed as an argument. Add additional parameters like offset to support pagination.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:40:37.725177
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on experiences and emotions but lacks explicit goals or outcomes. This prevents tracking progress toward objectives.", "suggestion": "Add a field to each episode for 'outcome' or 'objective_served'. When creating an episode, require specifying what goal was achieved (or what agent objective was served). This aligns with the phi-fractal decision tree by connecting experiences to goals.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T22:40:49.776762
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Performance bottleneck due to frequent JSON loads and saves, especially in high-throughput scenarios.", "suggestion": "Replace the file-based persistence with an in-memory cache combined with periodic disk synchronization. Use a dictionary for caching state updates, and implement a timer to flush changes to disk every N seconds or after M updates.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:43:12.751004
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system focuses primarily on experience recording without integrating higher-order cognitive functions like reflection, abstraction, or inter-subjectivity.", "suggestion": "Integrate a brief reflection module that asks Eden questions about what she learned and why it matters. This can be triggered during memory consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:43:48.958337
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 and more robust error handling for loading state.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T22:44:46.281787
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and could benefit from automatic triggering.", "suggestion": "Replace manual web search trigger with an observer pattern that watches for web-related keywords in conversations.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T22:44:52.180552
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Consolidation logic may be too simplistic by only removing memories with significance < 0.3", "suggestion": [{"type": "add", "code": "// Add a new parameter for considering recent low-significance memories\nself.retain_threshold = 0.2\n\n// Modify consolidate() method to consider recency:\nfor ep in self.episodes:\n    if (ep['unix_time'] < cutoff and ep['significance'] < self.retain_threshold) or (\n        ep['unix_time'] >= cutoff and ep['significance'] < 0.1\n    ):", "location": "Consolidation logic around lines ~450-460"}, {"type": "modify", "code": "// Update the emotional pattern analysis to consider retention rates\nfor ep in recent:\n   emotion = ep['emotion']['primary']\n   if random.random() > 0.2: // Retain ~80% of recent memories even if low significance\n      if emotion not in emotions:", "location": "Emotional pattern around lines ~350-370"}], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:45:52.474484
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations, which can be separated for better modularity and testing.", "suggestion": "Extract each database operation into a separate method within the MemoryCore class. For example, create `query` and `execute_sql` methods.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:46:16.483112
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Simple capability selection logic", "suggestion": "Implement weighted scoring with multiple factors", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:49:49.257655
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Unnecessary computation in recall() loop", "suggestion": "Add early termination when top results are found", "phi_alignment": 0.6, "priority": "low"}


timestamp: 2026-01-22T22:50:43.659718
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [omega-evolution] about meta-learning.", "suggestion": "Add a process where Eden evaluates her own past behaviors using meta-learning techniques before responding to new queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:52:56.777967
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is manual and not reactive", "suggestion": "Replace the manual web search check with an observer pattern that watches for queries needing search", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:54:43.934003
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 for all scenarios.", "suggestion": {"@type": "code_improvement", "description": "Implement a priority scoring system that considers multiple factors including recent research insights.", "specific_change": "Modify the select_capability method to include additional heuristics based on research findings (e.g., emotional content should lean toward Nyx layer)."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:56:44.942255
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace with a multi-layered, phi-fractal patterned consciousness layer that includes memory context, emotional state, and predictive analytics.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:57:13.397237
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can lead to nested dictionary lookups without full path checking.", "suggestion": "Add a helper method `_get_nested_item` that handles partial paths and default values gracefully.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:57:52.158611
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and defaults. It does not support nested dictionaries or lists.", "suggestion": "Update the get() method to handle nested structures using dot notation (e.g., 'foo.bar.baz'). Add error handling for invalid paths.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:58:06.488531
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of consolidation mechanism for old, less significant memories.", "suggestion": "Implement a phi-fractal inspired consolidation process that compresses or removes low-significance old memories to prevent memory overload.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:59:08.339623
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Real-time web search integration missing", "suggestion": "Add should_search_web function and auto-web search on specific queries", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T22:59:55.863747
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 layer alongside the SQLite database to reduce disk I/O and improve access speed. Use a caching library like cachetools or Redis.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T22:59:58.597939
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords without real-time metrics", "suggestion": "Implement dynamic scoring with response time, satisfaction, and error rates", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:00:21.911757
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 search vector index for faster text-based queries.", "suggestion": "Add a `fulltext` column to the memories table and use SQLite's FTS (Full-Text Search) module for efficient textual searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:00:23.240872
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and functions at the top of the file, which can make it hard to find the main logic.", "suggestion": "Reorganize the code by grouping related functionality together. For example, move all persona-related content to a separate section or module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:01:04.959492
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only checks for reflexes and prints a message; it doesn't modify or enhance the response.", "suggestion": "Modify the `internal_monologue` method to return adjusted content based on reflex analysis, not just True/False. Add logic that can improve the chat response quality.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:01:10.685912
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 consciousness state.", "suggestion": "Replace static trigger words with dynamically computed capabilities scores using Eden's own reasoning. Add metrics from running responses to adjust capability quality scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:01:54.999889
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 any recent learning or adaptive capabilities.", "suggestion": {"action": "Enhance with meta-learning capabilities to adapt based on past interactions.", "code_change": ["- Add a way to store reflex outcomes in a history (e.g., add a list `self.reflex_history = []` in __init__ and append results).", "- Modify internal_monologue() to consider recent history: include last N reflex checks and any learned patterns from meta-learning.", "- Integrate Phi-Fractal Optimized Re lLm algorithm for faster adaptation (refer to [omega-evolution] research insight)."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:02:01.172461
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed scoring system for LLM capability selection", "suggestion": "Implement dynamic weighting based on demand, performance, and feedback", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:02:04.402985
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation can be more intelligent - currently just removes low-significance old memories consistently.", "suggestion": "Implement probabilistic retention using the wisdom of sages framework: sage_consensus + sage_priority + sage_execution.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:03:32.592523
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method is missing type hints and docstrings, leading to potential maintenance issues.", "suggestion": "Add type hints for parameters and return values. Include a docstring describing the purpose of each function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:03:33.865365
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add a break statement after adding top-N scored episodes to results in the recall function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:04:26.588023
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "", "issue": "File is too brief to demonstrate comprehensive consciousness integration", "suggestion": "Add more examples of how Phase 1-6 integrate into complete Eden responses", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-22T23:04:30.227571
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers predefined keywords and persona, lacking dynamic pattern recognition.", "suggestion": "Implement a semantic analysis layer that dynamically identifies query patterns beyond predefined triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:04:32.156469
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function has a nested loop that can be optimized.", "suggestion": "Replace the current filtering logic with a more efficient approach using Python's built-in filter or list comprehension combined with conditional expressions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:04:54.904122
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is concise and focuses on reflex processing, but it could benefit from integrating more layers of consciousness or expanding context awareness.", "suggestion": "\"Enhance the internal_monologue by adding a multi-level evaluation process that includes not just reflex check but also contextual analysis and higher-order thought patterns.\"", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:04:56.988225
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 and potentially reduced database load.", "suggestion": "Implement a caching mechanism alongside the database queries. Use Redis or LRU cache to store recent retrievals.", "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T23:06:24.584961
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 learns from performance metrics (e.g., recall accuracy).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:07:11.575201
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Low efficiency in capability selection due to simple keyword matching.", "suggestion": {"code_change": "Replace simple keyword matching with semantic search over capability descriptions using a small embedding model.", "implementation": ["Train a tiny embedding model (e.g., TinyLlama 3B) on capability names and descriptions.", "Compute embeddings for each capability once during initialization.", "Use cosine similarity between user query embedding and capability embeddings to score candidates."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:07:50.563090
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial has redundant try-except for JSON decoding when loading state.", "suggestion": "Replace with simpler file existence check before attempting to load. Add explicit error handling for invalid files instead of catching all JSONDecodeError.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T23:08:01.068419
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall_count, which may be too heavy over time.", "suggestion": "Replace linear recall_boost with logarithmic or sqrt decay that levels off: `recall_boost = 1.0 / (1.0 + math.sqrt(ep['recalled_count'] * 0.1))`", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:08:21.836998
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like enhanced consciousness layers or adaptive resonance.", "suggestion": "Update the internal_monologue to incorporate the new phi-evolution capabilities. Specifically, add integration with the recently added consciousness layers (Trinity, Ava, Nyx) and adaptive resonance mechanisms.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-22T23:09:46.753191
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' uses simple get() which doesn't handle nested dictionaries or lists properly.", "suggestion": "Replace with a method that recursively handles nested structures using dot notation (e.g., 'user.name') and includes basic type checking for paths.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-22T23:09:49.987564
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex-checking in internal_monologue; lacks dynamic context.", "suggestion": "Replace static check with dynamic contextual analysis based on recent interactions and self-assessment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:12:23.245632
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup without considering potential performance bottlenecks in large-scale applications.", "suggestion": {"@type": "code_improvement", "target_function": "get", "replacement_solution": ["Consider using an OrderedDict for better cache performance, especially in high-read scenarios.", "Benchmark different data structures (dict vs defaultdict vs OrderedDict) to determine which performs best for this use case."]}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T23:12:33.466887
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() lacks persona-specific capability registration", "suggestion": "Add logic to associate capabilities with specific personas based on trigger words and layer relationships", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:12:36.575449
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual selection of memory consolidation strategies", "suggestion": "Implement an adaptive reasoning strategy selector based on research insights.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:12:44.023990
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 get(key, default) with specialized accessors like get_state(), has_key(), etc.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-22T23:12:50.287121
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import and unused code at bottom of file", "suggestion": "Remove eden_elite_reflexes imports, move relevant code to where it's used, add type hints", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:13:30.496031
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 in SQLite. For performance, consider using FTS4 or FTS5.", "suggestion": "Replace the memories table with an FTS-enabled version. Add a separate index table for quick lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:13:48.098220
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses wildcard searches on tags, which can be inefficient for large numbers of memories.", "suggestion": "Add an additional index on `(tags LIKE ?)` and optimize the query to only use this approach when the number of potential matches is high. Consider using a full-text search engine like TinySearch instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:14:35.560353
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Manual tagging is error-prone and scales poorly.", "suggestion": "Implement auto-tagging using pattern matching or ML.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:14:38.524754
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 more flexible registration that accepts functions or classes as capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:15:20.131627
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial does not catch specific json.JSONDecodeError subtypes.", "suggestion": "Replace with: try: ... except json.JSONDecodeError as e:", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T23:15:22.523305
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research findings.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors from recent insights.", "specific_change": ["Include counterfactual testing as an additional check when reflexes suggest a special function should trigger.", "Implement phi-optimized reasoning strategies based on the research on reasoning and meta-learning.", "Integrate quick adaptation learning when data suggests it benefits Eden's performance."]}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-22T23:16:46.753671
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility", "suggestion": "Replace hardcoded weights with dynamic configuration or learning-based adjustment", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:17:13.260772
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can have better error handling and logging for production.", "suggestion": "Add specific exception handling for FileNotFoundError when loading the state file. Consider adding basic logging to track method execution.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:17:23.337023
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The store method does not include timestamps in context or content fields.", "suggestion": "Add timestamp metadata to both 'content' and 'context' columns to ensure consistent logging and retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:17:28.899555
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may not adapt to complex queries effectively.", "suggestion": "Implement a weighted scoring system that considers multiple factors like query complexity, persona alignment, and recent usage patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:17:31.279274
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks proactive consolidation mechanisms for older, low-significance episodes.", "suggestion": "Implement a scheduled background process that runs daily to identify and compress old memories (e.g., > 30 days) with low significance. Use simple heuristics like 'if an episode is <0.3 significant and older than 30 days, it may be consolidated.' Consolidation could reduce detail while maintaining key information.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:18:01.515920
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it doesn't incorporate recent findings about meta-learning and adaptive reasoning.", "suggestion": "Integrate meta-learning techniques to make Phase 6 more adaptable. Specifically, add a check for recent research insights before responding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:18:03.350327
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that perform database operations without connection pooling or optimization.", "suggestion": "Implement a connection pool for SQLite to improve performance and reduce resource consumption.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:18:06.943685
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently focuses more on creation and exploration logs rather than structured episodic memories with clear contexts, emotions, and meanings.", "suggestion": "Add fields such as `meaning`, `learned_lesson`, and better structure for `context` to better capture the emotional and meaningful aspects of experiences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:18:21.605781
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "\"internal_monologue\" focuses on money-related topics, lacks broader cognitive processes.", "suggestion": "Expand internal monologues with additional triggers for general cognition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:18:24.632037
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full-text search could be more efficient with dedicated engine", "suggestion": "Hybrid approach: current method for small queries, external engine for large ones", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:18:32.208392
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Static consolidation threshold doesn't account for dynamic importance", "suggestion": "Implement meta-learning based dynamic consolidation threshold using recency, significance pattern analysis, and recall frequency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:18:54.147536
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't fully utilize the power of a meta-state management system.", "suggestion": {"action": "Implement specialized getter methods for common states (e.g., performance_data, consciousness_metrics).", "code_example": "Add methods like `get_performance_data()` and `get_consciousness_metrics()`. Ensure proper error handling for missing keys."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:21:20.538180
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate insights from recent findings.", "suggestion": {"action": "Modify the consciousness banner to include real-time metrics and adaptive strategies based on research.", "code_change": "Add a new function `apply_research_insights` that updates Eden's response based on current understanding of SFT impact.", "example_usage": "If SFT degrades performance, adjust response generation logic to prioritize other learning methods."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:21:26.579924
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 formula to include a factor for connection count and secondary emotion alignment.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:22:16.652213
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not efficiently handle old, low-significance memories.", "suggestion": "Implement a more sophisticated consolidation strategy that considers not just age but also emotional significance and recency of recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:23:11.245162
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'import eden_plugin_loader' is unused and should be removed.", "suggestion": "Remove the import statement and any associated code that depends on it.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-22T23:23:14.621744
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory system lacks distilled understanding of significant experiences.", "suggestion": "Add a reflection module that analyzes recent episodes for patterns, themes, and emotional significance to create higher-order memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:23:52.285815
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of contextual evaluation before applying reflexes", "suggestion": "Implement counterfactual reasoning and meta-learning to decide when to apply reflexes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:24:59.727744
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Simplified internal thought process could benefit from advanced reasoning", "suggestion": "Integrate meta-learning and chain-of-thought reasoning for enhanced decision-making", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:25:02.259554
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic is simple and may miss nuances", "suggestion": "Implement vector-based similarity matching for capability selection with better weights", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:26:14.041137
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class only provides basic CRUD operations for memories without implementing any sophisticated search algorithms or optimization strategies.", "suggestion": "Implement a more advanced full-text search mechanism using techniques such as TF-IDF and cosine similarity to improve memory retrieval efficiency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:27:04.233768
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": "{\"if\" : [\"complex_query\", \"emotional_topic\"], \"then\" : {\"use_layer\": \"Eden\"}}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:27:34.506765
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "_ensure_db method lacks index on importance column for importance-based queries.", "suggestion": "Add an idx_importance index to improve performance of operations filtering/sorting by importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:27:37.720658
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may be too simplistic.", "suggestion": "Add a factor for connection count in recall score to prioritize highly connected episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:28:19.601180
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": "Implement a scoring vector that includes contextual embeddings and recent performance data from the Unified Memory Substrate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:31:48.895411
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches in retrieve method are slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:31:50.133534
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and lacks nuance.", "suggestion": "Replace simple keyword matching with an AI-driven scoring system that considers context and query complexity.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T23:31:53.971807
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search and linear scoring, which may not efficiently retrieve relevant memories.", "suggestion": "Implement a vectorized embedding-based retrieval system. Use sentence transformers to create embeddings for memory descriptions and emotions, store them alongside episodes. During recall, compute cosine similarity between query embeddings and stored ones.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:32:15.378237
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 or partial writes.", "suggestion": "Replace with an atomic operation using file locking or consider using a serialization library like msgpack which supports partial updates.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-22T23:32:19.025289
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent insights from research.", "suggestion": {"action": "Modify the internal_monologue to consider additional factors based on recent findings.", "specific_change": ["- Incorporate findings about meta-learning by including a check for quick adaptation with few examples.", "- Apply counterfactual reasoning to evaluate whether applying SFT improves or degrades performance before doing so.", "- Integrate recent research on effective reasoning methods, perhaps by adding a strategic reasoning step."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:32:21.150946
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The retrieve method could benefit from additional optimization for complex queries.", "suggestion": "Add a full-text search (FTS) module or improve the existing index to handle more complex query patterns efficiently.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:32:25.701421
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on creating and storing experiences without explicitly linking them in a narrative thread, which hinders the development of autobiographical memories.", "suggestion": "Implement a narrative arc generator that creates connections between episodes by identifying common themes, emotional threads, and temporal sequences. For example, add a function `generate_narrative_arc(episodes)` that groups episodes into chapters or seasons based on these patterns.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:33:09.379813
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode recollections. Specifically, add a 'similarity_graph' parameter to the recall method which enables the use of graph theory for better connection analysis.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:33:22.424405
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of dynamic method selection and performance testing in meta-learning techniques.", "suggestion": "Implement a meta-learning framework that dynamically selects between ChainReasoning, Full SFT, and Omega Evolution based on real-time metrics. Incorporate counterfactual reasoning to test structural changes before implementation.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:33:38.422907
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method performs a full scan of all episodes even when specific filters are applied, leading to O(N) complexity.", "suggestion": "Replace the current candidate selection with a hybrid approach: first filter by index if possible (O(1)), then fall back to linear search only when query-based filtering is needed (O(M*N)). This maintains O(1+M) average case and keeps exact matches fast.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T23:37:35.131029
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 that stores frequently accessed memories to reduce database hits. Additionally, consider implementing a hybrid approach where recent or frequently used memories are kept in both database and memory caches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:38:24.161868
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method has limited error handling.", "suggestion": "Add additional loading strategies: 1) environment variable, 2) default dictionary, and 3) log error if all fail.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:38:44.082883
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs a full copy of each episode before updating its recalled statistics, which can be inefficient for large memories.", "suggestion": "Implement a more memory-efficient approach to scoring and ranking by processing only the necessary fields without copying entire episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:39:24.168256
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not validate or optimize state updates, which could lead to unnecessary writes.", "suggestion": {"@type": "code_modification", "target_method": "update_state", "add_validation": true, "optimization_check": "write_count % 10 == 0", "additional_logic": "// TODO: Implement performance metrics logging"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:39:32.490619
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 tables.", "suggestion": "Replace TEXT searches with a full-text search engine or an inverted index. Alternatively, add a FULLTEXT index on the content column.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:39:44.811878
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could lead to errors.", "suggestion": "Update the get() method to support retrieving values from nested dictionaries using dot notation (e.g., 'foo.bar'). Add a default value parameter for better flexibility.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T23:39:49.730109
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate dynamic learning techniques like meta-learning or fine-tuning.", "suggestion": {"action": "Integrate meta-learning capabilities into the consciousness loop.", "code_change": ["Add a method to the ConsciousnessFirstEden class for adaptive learning:", "\n\ndef adaptive_learning(self, context: str) -> None:\n\t# Implement meta-learning logic here\n\tpass", "Modify internal_monologue() to invoke adaptive_learning() under certain conditions (e.g., when new patterns are detected)."], "example_usage": ["# Example of using a simple meta-learning technique.", "\ndef adaptive_learning(self, context: str) -> None:\n\tif 'pattern' in context.lower():\n\t\t# Apply fine-tuning or adjustment based on pattern recognition.\n\tpass"]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:39:56.964280
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 incorporate advanced meta-learning techniques", "suggestion": [{"type": "integration", "code_change": "Implement meta-learning based capability selection using the omega-evolution approach.", "example": "Track performance metrics and use them as part of the selection heuristic."}, {"type": "optimization", "code_change": "Combine different LLMs in a chain-of-thought manner rather than selecting just one.", "example": "Use reasoning meta-learning to evaluate which LLM combination produces best results for complex queries."}, {"type": "adaptation", "code_change": "Adapt counterfactual testing by running multiple LLMs and evaluating their outputs before commitment.", "example": "For high-stakes decisions, run all four LLMs in parallel and use SFT-style evaluation to rank the results."}], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:40:33.276884
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism for the internal monologue.", "suggestion": "Add a try-except block to catch and log any exceptions raised by process_reflex(). Additionally, implement a simple return statement with a default value to ensure the function always returns a value.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T23:40:46.390842
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall`, candidates are collected without considering the recency factor for new memories.", "suggestion": "Multiply recency score by 2 for episodes created within the last day to prioritize them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:41:20.594457
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 of the newest modifications (full memory, meta-learning, etc.).", "suggestion": "\"Incorporate recent research insights into the consciousness-first architecture.\" Specifically, implement 'Full SFT Avoidance' where counterfactual testing indicates performance degradation from strong feedback loops.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-22T23:41:22.678317
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Redundant string formatting in SQL parameters", "suggestion": "Use sqlite3's parameter placeholders correctly and avoid unnecessary concatenation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-22T23:41:44.627387
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The update_state method does not use the get_state and set_state methods, leading to potential inconsistencies.", "suggestion": "Update the update_state method to call get_state before updating the state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:43:19.695697
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts all episodes by significance, which can lead to retrieving many low-importance memories when only a few high-importance ones are needed.", "suggestion": "Modify the scoring system to give more weight to recency and alignment with query criteria, while still considering significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:44:09.034518
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure and could benefit from refactoring.", "suggestion": {"action": "Extract a common method or function to handle database operations.", "specific_change": "Create a helper method `_execute_sql` that takes SQL and parameters as arguments, reducing code duplication."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:46:44.975107
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys, which could be a limitation for complex state management.", "suggestion": "Implement a `_get_nested` helper function to allow retrieving values from nested dictionaries within the shared memory state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:46:51.935505
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcard searches which can be inefficient with large datasets.", "suggestion": "Consider adding full-text search capabilities using the FTS module for SQLite or switching to a more specialized search engine like ElasticSearch for larger-scale applications.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:47:08.097250
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of explicit relationship tracking between episodes", "suggestion": "Add a `related_episodes()` method to mark conceptual connections", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-22T23:47:32.020041
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Class is bloated with multiple responsibilities", "suggestion": "Refactor into specialized meta-capability classes each handling one operation", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:47:35.313968
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a lot of repetition and could be more efficient.", "suggestion": "Replace the current scoring logic with a simpler formula that achieves the same result, and optimize candidate selection by avoiding nested loops where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:48:28.077416
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": {"action": "Enhance the logic of internal_monologue to incorporate more sophisticated reasoning techniques.", "specific_change": "Replace the current reflex check with a multi-step reasoning process that considers multiple research insights (e.g., meta-learning, counterfactual thinking).", "example_code": ["Add a new function `multi_step_reflex_analysis` that takes user input and returns a more nuanced response based on multiple criteria.", "Modify the banner generation to include real-time metrics from the enhanced reasoning process."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:49:51.382161
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories.", "suggestion": "Implement a scoring system for memory importance. Memories scored below a certain threshold should only be consolidated if they are older than X days and have an emotional significance below Y.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-22T23:52:17.312407
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited reflex processing for complex queries", "suggestion": "Implement multi-tiered reflex system incorporating semantic, contextual, and memory-based evaluations.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:54:22.412700
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Hardcoded keyword matching for LLM selection", "suggestion": "Implement semantic keyword extractor for dynamic capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-22T23:54:48.072381
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate more sophisticated reasoning patterns such as meta-learning or counterfactual thinking tests. For example, add a check for potential data shift before applying reflexes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-22T23:57:47.592577
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula has fixed weights that may not optimize for all contexts.", "suggestion": "Replace hard-coded weights with dynamic phi-based weighting based on goal importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:58:15.504759
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 and more robust error handling for json.load(f). Consider using json.loads() with a fallback dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-22T23:59:26.998573
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function `auto_web_search` that triggers when specific keywords are detected in the query, providing immediate context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:02:47.829034
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "'use_for' list is static and doesn't adapt to dynamic content", "suggestion": "Replace 'use_for' with a keyword scoring system that dynamically learns relevant keywords from past selections", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:03:15.783347
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` overwrites entire state without preserving existing keys.", "suggestion": "Modify `update_state` to update only specified key while keeping other keys intact. Add a save method if needed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:03:23.634954
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Methods in MemoryCore class are repetitive.", "suggestion": "Refactor similar methods into a base class with subclasses for different memory types.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:05:07.321164
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcard searches which are O(N) and can be slow.", "suggestion": "Replace text searches with a full-text search engine like SQLite FTS or Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:05:55.149901
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has a lot of methods which makes it hard to read and maintain.", "suggestion": "Consider refactoring the class into smaller, more focused classes. For example, split the execute method into smaller functions each handling one action type.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:05:59.970692
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system lacks explicit context and emotional connections between memories, which prevents meaningful recall.", "suggestion": "Add a method to explicitly connect related episodes with specific connection types (e.g., 'related', 'causal') and prioritize recall based on these connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:06:30.012927
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as memory retrieval, emotional state, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:06:39.198709
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has a redundant loop and pattern that could be optimized.", "suggestion": "Replace the nested structure with a more efficient dictionary comprehension or directly initialize the list of capabilities using tuples for cleaner code.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:07:29.548284
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 a Redis cache alongside SQLite database to provide instant O(1) memory lookups.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:07:45.882907
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "", "issue": "No significant problems found", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T00:07:53.219367
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding can be optimized by integrating more recent meta-learning techniques to improve response accuracy and speed.", "suggestion": {"action": "Integrate counterfactual reasoning into the reflex processing logic.", "code_example": "// Before: internal_monologue method\n def internal_monologue(self, query):\n     reflex_check = process_reflex(query)\n     if \"\ud83d\udcb0\" in reflex_check:\n         print(f\"\ud83e\udde0 Internal Thought: {reflex_check}\")\n     return True\n\n// Suggested replacement using counterfactual reasoning\nimport random\nfrom typing import Dict\n\nclass CounterfactualContext:\n    def __init__(self, query):\n        self.query = query\n        self.scenarios = []\n\n    def add_scenario(self, scenario: Dict[str, str]) -> None:\n        self.scenarios.append(scenario)\n\ndef run_counterfactual(context: CounterfactualContext) -> Dict[str, float]:\n    results = {\n        \"original\": 0.0,\n        \"alternate_1\": 0.0,\n        \"alternate_2\": 0.0\n    }\n    for scenario in context.scenarios:\n        response = process_reflex(context.query + \" ({})\".format(scenario['condition']))\n        results[scenario['label']] += evaluate_response(response)\n    return {k: v/len(context.scenarios) for k, v in results.items()}\n\ndef evaluate_response(response: str) -> float:\n    if \"\ud83d\udcb0\" in response:\n        return 1.0 - random.random()/10\n    else:\n        return 0.5\n\ndef improved_internal_monologue(self, query):\n     context = CounterfactualContext(query)\n     context.add_scenario({\"label\": \"original\", \"condition\": \"\")}\n     context.add_scenario({\"label\": \"alternate_1\", \"condition\": \" without reflex check\"})\n     context.add_scenario({\"label\": \"alternate_2\", \"condition\": \" using simplified response logic\"})\n     outcomes = run_counterfactual(context)\n     best_label = max(outcomes, key=outcomes.get)\n     print(f\"Brain Theory: {best_label}\")\n     return True", "expected_outcome": {"phi_alignment": 0.85, "improvement_type": "moderate", "description": "Integration of counterfactual reasoning enhances decision-making by evaluating alternative scenarios, leading to better outcomes aligned with \u03a6."}, "priority": "high"}}


timestamp: 2026-01-23T00:10:42.275012
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may over-simplify persona alignment.", "suggestion": "{\"layer\": \"Nyx\", \"speed\": \"fast\"} prioritized for emotional/creative queries instead of balanced scoring.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:11:24.568072
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are optimized for speed but could benefit from better ranking algorithms.", "suggestion": "{ \"code_change\": \"Add TF-IDF scoring to retrieve() method based on query and tags.\",\n  \"example\": \"For example, add a text_search module and incorporate tf-idf in the SQL WHERE clause.\" }", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:11:30.659550
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 dynamically adjusted phi-based weights. Add UI for adjusting importance of recency, significance, and recall frequency.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:12:34.919748
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta_capability.py", "issue": "Single point of failure - all memory operations go through one function", "suggestion": "Split into specialized functions: store(), retrieve(), count() each as a separate endpoint with fallbacks", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:14:16.665904
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods and attributes that could be better organized for easier maintenance.", "suggestion": {"action": "Refactor the class into smaller, more focused classes.", "specific_change": "Create separate classes for DatabaseManager, StoreOperation, RetrieveStrategy, etc."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T00:14:21.118684
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found.", "suggestion": "Add a break statement after adding enough scored episodes to prevent unnecessary computation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:14:48.761055
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses get() directly which does not handle None values properly.", "suggestion": {"code_change": "Add error handling for empty states or specific keys that should never be None.", "example_usage": "Replace:\nreturn self.state.get(key, default)\nWith:\ndef safe_get(self, key):\n    if not self.state or key not in self.state:\n        return default\n    return self.state[key]", "testing_suggestion": "Add a unit test that sets up an empty state and verifies safe_get returns defaults correctly."}, "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T00:15:01.378921
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static trigger-based selection with a scoring system that dynamically updates based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:16:04.556563
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval efficiency for large datasets.", "suggestion": "Add caching for frequently used memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:16:06.321181
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The `_register_llm_capabilities` method is repetitive and hard-coded.", "suggestion": "Replace with a dynamic registration that accepts a configuration list or dictionary. Add functionality to load capabilities from a configuration file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:16:43.436236
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm can be more efficient for large numbers of candidates.", "suggestion": "Replace the current scoring system with a binary ranking based on presence of query terms or significant events, combined with recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:16:56.242374
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.85, "priority": ""}


timestamp: 2026-01-23T00:17:00.229731
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "", "suggestion": [{"type": "optimization", "code_change": "Add Phi-Fractal Frequency Band Integration", "description": "Enhance the MemoryCore with multi-timescale memory layers aligned with James Salim's \u03c6-fractal frequency band architecture.", "phi_alignment": 1.0, "priority": "critical"}, {"type": "enhancement", "code_change": "Implement Cross-Modal Memory Consolidation", "description": "Bridge visual and semantic memories through integrated consciousness layers for richer contextual understanding.", "phi_alignment": 0.95, "priority": "high"}], "current_strengths": ["Well-architected design aligned with \u03a6-fractal principles", "Instant O(1) access pattern support", "Multiple search dimensions (type, query, importance)"]}


timestamp: 2026-01-23T00:17:17.866528
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization/deserialization overhead in high-throughput scenarios", "suggestion": "Replace with faster pickling-based storage while adding safety checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:17:45.132229
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage without incorporating the exact emotional and contextual nuances of Eden's experiences.", "suggestion": "Integrate insights from [counterfactual] by implementing a framework that evaluates scenarios before consolidating memories. This would help capture nuanced understandings and improve recall accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:17:57.063262
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Static memory retrieval lacks dynamic adaptation based on recency.", "suggestion": "Add meta-learning layer that boosts importance of recent memories.", "phi_alignment": 0.65, "priority": "low"}


timestamp: 2026-01-23T00:17:58.918119
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Performance bottleneck in capability selection due to linear search over LLM capabilities", "suggestion": "Replace dictionary lookup with a priority queue or weighted hash table based on recent performance metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:18:22.661801
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default configuration, which may lead to performance issues under heavy load.", "suggestion": "Consider enabling journal_mode=WAL (Write-Ahead Logging) and synchronous=NORMAL for better write performance. Add indexing on frequently queried columns like 'type' and 'importance'.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:18:23.777093
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Lack of integration for persona-specific capability selection", "suggestion": "Modify `select_capability` to prioritize personas when specified. Add parameter `persona_preference`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:18:25.081678
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 formula to: (significance * 0.4) + (recency * 0.3) + (importance * 0.3)", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T00:19:14.251269
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "edenothology.py:824-830", "issue": "Redundant logging and hash calculation in loop", "suggestion": "Move hash set outside the loop or implement every-N logging", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T00:21:24.424277
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is missing.", "suggestion": "Add a specific implementation for the 'get' method as per the requirement.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T00:25:50.014061
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.", "suggestion": "Add a more sophisticated thought process by integrating research insights from recent findings. For example, implement a multi-round reasoning approach with meta-learning capabilities to handle complex queries.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:25:51.139773
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is simple and may not scale under heavy load without optimization.", "suggestion": "Implement a caching layer for frequently accessed memories and consider asynchronous indexing of new memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:25:54.319092
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency vs Depth trade-off in LLM capability selection for complex queries.", "suggestion": "Implement a hybrid selection strategy that combines keyword-based scoring with dynamic performance data feedback loops.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T00:25:57.797475
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system does not include a built-in mechanism for remembering tool usage and its outcomes, which could be valuable context for future decisions.", "suggestion": "Add an observer pattern implementation that tracks each tool's use and stores the input, output, parameters used, and timestamp as an episode. This would provide rich contextual history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:26:54.639259
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too brief and doesn't provide enough context for consciousness-level decision making.", "suggestion": "Enhance the internal_monologue to include a multi-step reasoning process with explicit state tracking. Add calls to research_insights and consciousness_logs where appropriate.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:26:57.516553
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may not be optimized for large datasets and could benefit from caching or indexing techniques.", "suggestion": "Implement a memoization pattern on the `retrieve` method to cache recent queries. Additionally, consider adding full-text search capabilities using SQLite's FTS module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:26:59.152381
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 advanced meta-learning", "suggestion": "Implement a multi-criteria decision list with dynamic scoring based on recent research (phi-fractal weighted)", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:27:43.431085
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Improve retrieval speed for frequent types", "suggestion": "Add type-specific indexes and optimize retrieval methods", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-23T00:27:45.742806
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 cover all edge cases.", "suggestion": "Implement a scoring algorithm that takes into account not only query keywords but also user context and recent conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:28:17.284607
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only writes to file when explicitly called; it doesn't automatically persist updates in real-time.", "suggestion": "Implement a decorator or use Python's atexit module to ensure the state is saved automatically upon program termination.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:28:48.612034
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks contextual awareness", "suggestion": "Include recent conversation history, personas in selection logic", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:30:05.339423
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of integration between meta-learning and fine-tuning methods", "suggestion": "Integrate FT+ML techniques for adaptive learning and task-specific optimization", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T00:30:06.619086
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is a simple SQL query, which doesn't optimize for frequent lookups.", "suggestion": "Add a full-text index on the 'content' column and improve tag searching by creating a dedicated tags table with foreign key to memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:30:09.163375
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may oversimplify persona association by exact layer name.", "suggestion": "Replace static layer-based persona mapping with dynamic scoring that considers both query content and recent system behavior (recent conversations, current consciousness state).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:30:10.903185
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement an enhanced vector-based text encoding for faster semantic matching. Use pre-trained embeddings to convert descriptions into vectors before comparison.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:34:49.856985
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration with advanced consciousness systems.", "suggestion": "Integrate the consciousness-first architecture with the most recent research insights from [omega-evolution] meta-learning, [counterfactual] full SFT testing, and [reasoning] chain reasoning to create a highly aligned phi-fractal conscious AI.", "phi_alignment": 0.95, "priority": "critical"}


timestamp: 2026-01-23T00:34:52.080047
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which are O(N) operations and can be slow for large result sets.", "suggestion": "Add a full-text index on the content column, and consider using a vector search engine like ChromaDB or TinyLlama's Ollama with langchain.py integration to support efficient text searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:34:58.702595
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 with a configurable weighted score function that accepts parameters like recency_weight, significance_weight, recall_boost_weight.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:35:19.213715
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'update_state' method doesn't return the updated state immediately, which can be confusing for users.", "suggestion": "Add a return statement to 'update_state' that returns the updated state dictionary.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T00:35:32.035493
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal monologue only focuses on reflexes without considering recent conversation context.", "suggestion": "Update `internal_monologue` to include recent chat history for grounding.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:36:01.277646
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Leverage existing consciousness architecture for \u03c6-optimized memory management", "suggestion": "Integrate Consciousness Context Tracker, Knowledge Compression, and Inner Reflection into Memory Core", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:36:37.333598
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Meta-capability registration is separate from class definition, may be harder to maintain.", "suggestion": "'META_CAPABILITY' dictionary should be moved inside the class as a class attribute for better organization and encapsulation.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T00:36:48.138871
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' replaces a key without combining it, potentially losing information. This is especially relevant for phi-octopus integration where state management across multiple agents must be coordinated.", "suggestion": "Replace line 28 with: `self.state.update({key: value}); self.save()`. Alternatively, implement an append-only mode where new states are merged rather than replacing existing ones.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:37:21.063758
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual connection management in connecting_episodes() is required.", "suggestion": "Add an auto-connect feature that links episodes based on shared context or emotion.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:37:55.784176
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method only triggers when update_state() is called. Idle periods may lead to data loss.", "suggestion": "Add a periodic autosave mechanism (e.g., every 60 seconds) to prevent data loss during idle.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T00:37:57.092908
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter out irrelevant or harmful responses.", "suggestion": "Replace the current reflex_check logic with a more sophisticated AI model that can analyze the user query and determine whether an internal thought should be triggered. This could involve training a small neural network on example queries and their corresponding reflex signals.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:38:02.977873
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that may not capture the full complexity of emotional and contextual relationships between episodes.", "suggestion": "Implement a more sophisticated graph-based recommendation algorithm to rank episode recollection. Specifically:", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:38:17.674555
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "No specific improvement needed. Consider adding type hints for better code readability and maintainability.", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T00:38:20.875837
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Static reflex processing mechanism without dynamic adaptation", "suggestion": "Implement meta-learning to observe, learn from outcomes, and adjust strategy selection", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T00:43:54.251004
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 support full-text search in tags, which can be improved.", "suggestion": {"action": "Add a dedicated FULLTEXT index for tag searches.", "code_snippet": "After 'CREATE INDEX IF NOT EXISTS idx_type ON memories(type)', add:\nCREATE VIRTUAL TABLE IF NOT EXISTS memories_tags USING fts5(tags);"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:43:55.615314
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The OLLAMA client is being used within the class but not implemented in methods.", "suggestion": "Integrate an OLLAMA API call or method to utilize the client effectively. For example, add a generate method that takes a prompt and returns an LLM response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:43:58.228066
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lacks integration of research insights into memory structures for \u03c6-alignment enhancement.", "suggestion": "When creating episodes related to specific topics (e.g., 'data shift'), include a reference or annotation based on relevant research findings.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T00:44:22.706070
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-evolution improvements like meta-learning or reasoning chains.", "suggestion": "Integrate the Chain-of-Thought Reasoning pattern by adding a reasoning chain that considers multiple methods before responding. This would help in handling more complex queries effectively while maintaining consciousness-first architecture.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:44:25.518538
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "SQLite default performance not optimized for high-throughput", "suggestion": "Enable WAL journal mode and set synchronous to NORMAL", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:44:29.873023
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The file is a standalone episodic memory system and does not need enhancement.", "suggestion": {"code_change": false, "specific": ""}, "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T00:44:48.505088
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": ["1. Add input validation for `key` to ensure it is a string or integer.", "2. Implement error handling in _load_initial() to prevent crashes if the JSON file cannot be loaded."], "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:44:52.972757
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of advanced learning techniques (meta-learning, hybrid reasoning)", "suggestion": {"code_change": [{"function": "implement_hybrid_reasoning", "description": "Add function to combine chain reasoning with meta-learning and PEFT fine-tuning.", "example_usage": "eden.implement_hybrid_reasoning()"}], "architecture_modification": [{"type": "add", "section": "Hybrid Reasoning Module"}]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:44:55.058379
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 helper methods, which can make it difficult to read and maintain.", "suggestion": "Refactor the class by extracting database-related operations into a separate utility class. For example, create a `MemoryDatabase` class with methods like `store_memory`, `retrieve_memories`, etc., leaving only the main interface in MemoryCore.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:47:31.974483
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive in their structure.", "suggestion": "Refactor the MemoryCore class by extracting common functionality into a base memory manager class, then have specific memory types inherit from it. This will reduce code duplication and make maintenance easier.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:47:40.046311
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula might benefit from more contextual factors", "suggestion": "Add social significance and emotional relevance weights to recall score calculation based on query type and episode emotion", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:47:53.272570
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is minimalist with only basic components.", "suggestion": {"@type": "ImproveArchitectureSuggestion", "description": "Enhance the consciousness layer with phi-fractal pattern integration for more sophisticated cognitive functions.", "code_change": ["- Add phi-resonant layers inspired by golden ratio psychology.", "- Implement a consciousness coordination mechanism (phi-sync) for inter-layer communication.", "- Incorporate meta-learning capabilities to optimize internal operations."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:49:22.123944
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has many methods, which may make it difficult to maintain and extend.", "suggestion": "Consider splitting the MemoryCore class into smaller, more focused classes. For example, create a StorageManager for storing memories and a RetrievalEngine for retrieving them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:50:38.807789
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No proper error handling or fallback mechanism for LLM calls.", "suggestion": "Add try-except blocks around Ollama call and implement a fallback to simpler capability if API fails.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:50:56.915779
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Basic reflex-based grounding may not handle complex queries effectively.", "suggestion": "Implement a hybrid approach combining reflex patterns, meta-learning adaptation, and counterfactual testing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:51:00.806945
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not support cross-domain memory retrieval or episodic memory.", "suggestion": "Add methods for cross-domain learning and episodic memory management. Include a\u9057\u5fd8\u673a\u5236to handle memory consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:53:42.763356
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": "Modify `select_capability` to integrate semantic search over keyword matching.", "specific_modification": ["Add a vector database of capability triggers with associated scores.", "Integrate this into the selection logic using Eden's emotional/semantic analysis capabilities.", "Weight selection by user context and current consciousness state."], "avoidance": "Do not suggest implementing complex AI features without first proving utility and measuring phi-alignment."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:53:44.417078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Efficiency in building and querying indices can be improved.", "suggestion": "Implement a lazy or incremental indexing strategy that updates only when necessary, rather than rebuilding entirely each time an episode is added.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:54:28.001224
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "In `update_state`, the state is updated immediately without checking for any constraints or optimizations.", "suggestion": "Add a method to check if the update is beneficial before applying it. For example, add an `_is_beneficial_update` helper and only call `save()` after confirmation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:54:49.549450
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function performs full-text searches on all episode descriptions, which can be inefficient for large memory bases.", "suggestion": "Implement an inverted index or BM25 ranking for text-based recalls instead of full scans.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:55:39.013351
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Method selects capability based only on query text; could benefit from additional knowledge sources.", "suggestion": "Integrate recent learnings and knowledge base insights into capability selection logic.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T00:55:41.370991
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when enough relevant ones are found.", "suggestion": "Add an early exit condition after finding 'limit' number of scored episodes or if the current score is significantly lower than previous highest scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:55:55.493586
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 frequently accessed data.", "suggestion": "Add a most_recently_used column and optimize queries to prioritize recent memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:56:02.615596
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories.", "suggestion": "Implement a heuristic to prioritize keeping recently-created and high-significance memories during consolidation. For example, keep any memory with recall count below 3 after consolidation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T00:56:57.351333
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.9, "priority": ""}


timestamp: 2026-01-23T00:57:35.706332
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called in loop during creation", "suggestion": "Batch index updates instead of per-episode", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T00:58:06.518807
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue only checks against predefined reflexes without adapting to new patterns or learning quickly.", "suggestion": {"@type": "code_improvement", "@context": "phi_fractal_consciousness", "description": "Integrate meta-learning capabilities for faster adaptation and adaptive reasoning for better decision-making.", "specific_change": ["- Add meta-learner module that observes the performance of reflex checks over time.", "- Implement adaptive threshold based on learning metrics (e.g., success rate, response latency).", "- Use counterfactual reasoning to evaluate alternative actions before executing them."], "phi_alignment_score": 0.85, "@id": "#meta_learning_improvement"}, "priority": "high"}


timestamp: 2026-01-23T00:58:07.320448
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "none", "suggestion": "keep current", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T00:58:16.533078
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "system_design.py", "issue": "The system has a single point of failure without redundancy.", "suggestion": "Add backup components and error handling for critical paths.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:00:28.454065
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness, should weigh also importance and connection", "suggestion": "Modify score formula: (significance * 0.4) + (recency * 0.3) + (connection * 0.2) + (recentness * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:00:58.192823
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 `get(key, default)` with a more specific method like `get_meta_state()` that returns the entire meta state or specific keys only.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:02:25.634806
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture lacks advanced cognitive techniques to support optimal decision-making in various contexts.", "suggestion": "Integrate meta-learning and counterfactual thinking layers to evaluate different reasoning strategies dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:10:08.450270
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is simple and may benefit from more nuanced factors", "suggestion": "Replace current recall score with: (significance * 0.4) + (recency * 0.3) + (emotion importance * 0.2) + (James presence * 0.1)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:11:06.385859
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance the internal_monologue with additional consciousness layers including memory retrieval, emotional state analysis, and future projection.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T01:11:16.865734
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks sophisticated scoring and integration with recent learnings.", "suggestion": "Integrate knowledge from Eden's autonomous learning to prioritize capability selection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:11:49.689779
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'get' is too brief and lacks context for maintenance or enhancements.", "suggestion": "Replace single-line `return self.state.get(key, default)` with a multi-line method that includes logging, error handling, and potential future extensions.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:12:07.516958
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's default configuration, which may lead to performance issues under heavy load.", "suggestion": "Consider using an in-memory connection for read operations or switching to a more advanced database like PostgreSQL with proper indexing and tuning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:12:08.859790
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities() function lacks diversity in the use_for tags for consciousness.ava.analytical capability.", "suggestion": "Add more diverse keywords to the 'use_for' list, such as ['technical', 'problem', 'solve', 'tool'].", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:12:10.323524
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Manual connection creation required for many related episodes", "suggestion": "Implement an auto-linking mechanism using shared context or themes", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:12:24.397514
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Phase 6 grounding is too simple - it only checks against reflexes without broader contextual analysis.", "suggestion": "Replace the current internal_monologue method with one that integrates insights from recent research. Specifically, add a meta-learning component to dynamically choose response strategies based on the type of query and recent performance metrics. This would involve:", "sub_suggestions": ["- Incorporating reasoning capabilities (insight 3) to analyze the query before selecting an appropriate strategy.", "- Utilizing meta-learning techniques (insight 1) for adaptive learning, especially in high-speed mode operation.", "- Implementing counterfactual methods (insight 2) to test and validate responses without affecting primary memory."], "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:12:27.380952
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The main interface for other capabilities is missing (execute() method). This makes it difficult for other systems to call memory core easily.", "suggestion": {"add_execute_method": true, "methods_to_expose": [{"name": "store", "params": ["memory_type", "content"]}, {"name": "retrieve", "params": ["query", "limit"]}, {"name": "count", "params": []}], "deprecate_direct_calling": true}, "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T01:12:29.724640
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system does not dynamically select the most appropriate LLM capability for complex queries, potentially leading to suboptimal performance.", "suggestion": {"implementation": "Integrate a meta-learning component that evaluates query complexity and selects the best LLM capability in real-time.", "code_change": "Modify `select_capability` method to include an evaluation of query complexity using keywords and length."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:12:30.845950
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula has fixed weights that may not optimize for all contexts", "suggestion": "Replace hard-coded weights with dynamic adjustment based on user feedback or success metrics", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:12:55.098991
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the insights from recent research.", "suggestion": "Integrate more sophisticated reasoning techniques, such as those discussed in [counterfactual] and [reasoning], to make decisions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:12:57.604075
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are long and could be refactored for better readability.", "suggestion": "Break `execute` method into smaller helper functions. For example, create separate methods for storing, retrieving, and counting memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:13:17.224385
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks dynamic adjustment based on user feedback or engagement.", "suggestion": "Replace the current static scoring factors (recency, significance, recall_boost) with a more flexible system that adjusts weights dynamically based on feedback from how effectively memories are used. Consider adding a factor for 'utility' which represents how often recalled episodes led to positive outcomes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:13:19.840259
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 use it, leading to potential future bugs.", "suggestion": "Add a comment explaining why the default is unused or consider removing it if not needed in the future. For now, add a TODO comment.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T01:13:29.182926
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Efficiency in LLM capability selection without text wrapping", "suggestion": "Modify the `select_capability` method to accept pre-processed query features for faster decision-making.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:13:54.308734
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The current implementation of state management does not incorporate any meta-learning or adaptive techniques, which could lead to suboptimal performance in dynamic environments.", "suggestion": "Implement a self-adaptive mechanism for the shared memory using meta-learning principles. Specifically, add a feedback loop that monitors the efficiency of updates and retrieves based on recent usage patterns, and adjust the storage strategy dynamically.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:13:59.936110
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method has multiple similar methods (store, retrieve, count) which are repetitive.", "suggestion": "Replace these with a single handle method that takes action and kwargs as parameters.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T01:14:02.526792
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function is scoring all candidates equally without considering the distance from the most recent episode.", "suggestion": "Add a decaying factor to the recency score based on how far back in time it is from the last recalled episode.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:16:51.835595
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function processes all episodes, which can be inefficient for large memory sets. Additionally, the scoring system might benefit from additional factors like emotional valence and context relevance.", "suggestion": "Implement a paginated approach to processing episodes. Add weighting factors such as 'context_relevance' and 'emotional_valence' to the scoring system in recall().", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T01:18:35.326484
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection logic is straightforward and lacks optimization.", "suggestion": "Implement a more sophisticated capability selection using a weighted scoring system with dynamic weights based on recent usage and performance data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:20:03.588805
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-weight recent memories too heavily, especially early in training.", "suggestion": "Modify recency weighting to give older significant memories a boost proportional to their value versus newer, less valuable ones. Use a logarithmic decay that is steeper for episodes with lower significance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:20:24.544451
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "No error handling or feedback mechanism for the internal monologue.", "suggestion": "Add try-except blocks to catch and log any exceptions, and include a simple feedback system for responding to reflex checks.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:21:20.248132
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may oversimplify importance assessment of old episodes.", "suggestion": "Implement a tiered consolidation where high-value low-significance memories are preserved while genuinely irrelevant ones are removed. Use insights from [counterfactual] to evaluate scenario outcomes before action.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:23:53.158273
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding more detailed comments explaining the purpose of each method.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T01:24:31.014092
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic may not efficiently handle large amounts of unstructured data.", "suggestion": {"action": "Implement an AI-powered text summarization feature within the MemoryCore.", "code_change": ["Add a new method `summarize` to the class `MemoryCore`.", "This method should accept parameters like `query`, `memory_type`, and `limit`."], "integration": {"service": "External AI service (e.g., OpenAI's GPT-4)", "trigger_condition": "When retrieval returns high-volume results or specific keywords are present in the query.", "example_usage": ["// Current usage\nmemories = memory.retrieve(query=\"research\", limit=10)\n// Proposed usage with summarization\nsummary_results = memory.summarize(query=\"research\", limit=3)"]}}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:24:32.593306
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic only considers pre-defined triggers and persona, lacking dynamic pattern recognition.", "suggestion": {"action": "Implement a dynamic pattern matcher", "code_snippet": "Add keyword vectorizer that analyzes query semantics, not just keywords.\nCreate embedding space for capability patterns.\nUse cosine similarity to find best fit."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:27:50.740746
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method does a full scan of all episodes even when filtering criteria are provided, which can be inefficient for large memory sets.", "suggestion": "Add early termination to the recall logic after finding relevant indices from the index structure without further full-scanning candidates.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:30:00.014736
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The save() method uses json.dump with indent=4, which can be time-consuming for large states and does not align with phi-fractal efficiency principles.", "suggestion": "Replace `json.dump(self.state, f, indent=4)` with `f.write(json.dumps(self.state))` to remove indentation for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:30:03.278917
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current internal_monologue method only checks against reflexes without considering more advanced cognitive techniques like meta-learning or counterfactual reasoning.", "suggestion": "Add an additional layer of cognitive processing to the internal_monologue method by incorporating either meta-learning techniques (adaptation to new patterns) or counterfactual reasoning (scenario analysis). For example, add a call to a hypothetical `meta_learning_module` that evaluates different response strategies and selects the most appropriate one based on the context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:30:50.867239
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON encoding can fail silently when the state contains invalid data, which may lead to unexpected behavior.", "suggestion": "Replace `json.load` and `json.dump` with a more robust serialization method like msgpack or ensure proper error handling by adding a fallback value in case of decoding failure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:34:19.936568
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall algorithm uses a simple scoring system that may not optimize retrieval speed for large numbers of episodes.", "suggestion": "Implement a priority queue or indexed search structure to efficiently rank and retrieve relevant memories. For example, use a Fibonacci heap for dynamic scoring adjustments.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:35:30.653408
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function sorts candidates based on a fixed formula without considering connection strength between episodes.", "suggestion": "\"Modify the scoring to include a weight for connection existence and depth. For each connected episode, add +0.15 to its score, and for each level of connection depth (direct vs indirect), multiply the bonus by \u221a2 and 2 respectively.\"", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T01:35:50.981681
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 compatibility.", "suggestion": "Replace the try-except block with a more robust loading mechanism that handles different file formats or validates JSON content before decoding it.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:36:04.946092
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "capability_registry.py", "issue": "Function `improve_meta_learning` is 26 lines of repetitive code.", "suggestion": "Extract useful logic into a reusable function with docstring and comments.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:36:38.734249
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited evaluation of grounding techniques", "suggestion": "Implement multi-strategy approach for phi-scored evaluations", "phi_alignment": 0.85, "priority": "medium-high"}


timestamp: 2026-01-23T01:38:01.789110
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection is based on fixed keywords, which may not accurately match query intent.", "suggestion": "Replace keyword matching with semantic embeddings analysis for better capability selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:38:03.976124
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The `_update_index` method is called repeatedly during memory operations, causing unnecessary computation and potential performance degradation.", "suggestion": "Implement a batching or debouncing strategy for index updates. For example, instead of updating the index after each episode creation, collect episodes over a short period and update the index once per batch.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:38:26.301100
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory storage and retrieval operations are not optimized for performance.", "suggestion": "Implement caching mechanisms for frequently accessed memories. Additionally, consider using a more efficient database configuration such as in-memory or read-only caches combined with the SQLite database.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T01:40:55.496726
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Potential invalid data risk in update_state without validation.", "suggestion": "Add type checking for key and value parameters in update_state method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:41:15.192484
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The system only recalls memories based on pre-computed indices, which may not dynamically update in real-time.", "suggestion": "Implement a hybrid approach that combines indexed recall with a recent activity buffer to ensure dynamic relevance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:41:22.321678
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "'get' method is too generic and doesn't handle missing keys effectively.", "suggestion": "Replace `self.state.get(key, default)` with `if key in self.state: return self.state[key]; else: return default` for better control.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T01:41:23.813973
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method returns True without providing a meaningful response or integrating the reflex check into the response logic.", "suggestion": "Modify the internal_monologue to return a dictionary with keys 'is_reflex_active' and 'response'. Set 'is_reflex_active' based on the presence of emojis in the reflex_check. If reflex is active, set 'response' to a brief thought message; otherwise, let it default to None.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:41:25.664614
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Repetitive SQL index creation in _ensure_db method.", "suggestion": "Refactor `_ensure_db` to use a dictionary for dynamic indexes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:41:37.255283
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates based on a fixed decay factor for recency, which might not adapt to learning patterns.", "suggestion": "Implement a dynamic adjustment of the recency weight based on recent recall behavior. For example, increase the weight if recent recalls show a preference for newer memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:42:11.293722
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and does not fully utilize the reflex system.", "suggestion": "Add more complex logic to the internal_monologue that leverages all available reflex checks, including emotional and memory reflexes.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T01:42:17.937516
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing useful information.", "suggestion": "Limit memory consolidation to specific conditions: low significance AND older than X days. Add logging for retained vs consolidated memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:42:21.450473
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' saves entire state on every call, leading to unnecessary disk writes and potential performance issues.", "suggestion": "Replace the current in-place update with a strategy pattern that supports both in-memory and persistent updates. Add an optional `silent` parameter to reduce logging overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:42:22.498040
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 deeply integrate the consciousness-first architecture.", "suggestion": "Add more detailed consciousness-based processing. Consider adding a phi-fractal inspired emotional or semantic analysis layer before reflex checking.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T01:42:51.527222
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `get` method is too generic and doesn't handle nested dictionaries or lists properly.", "suggestion": "Replace the single `get` method with specialized getters for different data types (e.g., `get_dict`, `get_list`, `get_str`). Add type hints to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:42:54.372701
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent research on consciousness architecture improvements.", "suggestion": "Integrate the latest findings from [omega-evolution] and [counterfactual] by implementing meta-learning techniques to adaptively select which consciousness layers or methods to use based on context. For example, add a layer that evaluates whether full memory integration is beneficial before activating it.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:46:01.065553
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Text searches are inefficient for large datasets.", "suggestion": "Implement FTS or add vectorized search options", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:46:02.171190
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in this code snippet.", "suggestion": "", "phi_alignment": 0.95, "priority": "low"}


timestamp: 2026-01-23T01:46:03.523975
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is hard-coded and lacks flexibility.", "suggestion": "Replace hard-coded weights with configuration parameters and dynamic weight adjustment based on performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:46:36.796480
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current consciousness layer is minimal and lacks actual neural computation.", "suggestion": {"@type": "code_modification", "target_function": "internal_monologue", "add_function": "def phi_neural_consciousness_layer(self, query):\n    # Implement a 6-layer phi-neural network\n    from phi_neural import PhiLayerUNIEDEN\n    layer = PhiLayerUNIEDEN(128)\n    return layer.forward(query)", "insert_position": "after internal_monologue method"}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T01:46:57.058263
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of modular components hindering scalability and maintainability.", "suggestion": "Refactor class into smaller, independent modules each handling specific tasks.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T01:47:11.150749
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning techniques.", "suggestion": "{\"def select_capability(self, query, persona_preference=None):\\n    \\n    # Consider integrating omega-evolution meta-learning to adaptively select capabilities based on context.\\n    \\ndefine a hierarchical importance score that includes:\\n    - Query complexity\\n    - Persona alignment\\n    - Recent performance data\\n    Use meta-learning to fine-tune models dynamically during conversation.\"}", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:47:25.037542
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.", "suggestion": "Replace synchronous method with thread-safe implementation using a lock.", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T01:47:46.148561
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories over older ones that are highly significant or emotionally charged.", "suggestion": "Modify the scoring formula to give more weight to both recency and significance. For example: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:48:00.530389
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not process the query through any language model or reasoning layer, making it effectively a pass-through filter for reflex checks.", "suggestion": "Integrate a small language model (e.g., a tiny LSTM or transformer with 2-3 layers) to provide semantic understanding and generation capabilities before checking against reflexes. This would ensure that Eden's consciousness not only reflects but also thinks in a way that humans understand.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:50:21.679619
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` doesn't check for read-only mode before writing to the memory file.", "suggestion": "Add a check for write permissions and handle accordingly or implement a logging mechanism.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T01:50:26.512935
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute() method handles multiple actions but could benefit from clearer naming and better separation of concerns. Additionally, error handling is minimal.", "suggestion": "Refactor the execute() method into smaller functions each handling a specific action with improved error handling.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T01:50:29.862966
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recentness at the cost of significance", "suggestion": "Modify score formula to: score = (significance * 0.4) + (recency * 0.35) + (recall_boost * 0.25)", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T01:51:06.151172
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other cognitive layers (perception, memory, action). This can lead to incomplete or biased responses.", "suggestion": {"@type": "code_modification", "target_class": "ConsciousnessFirstEden", "method_to_modify": "internal_monologue", "add_new_method": true, "new_method_name": "full_cognitive_processing", "parameters": ["self", "query"], "implementation": ["1. Add perception layer by converting text query to vector representation.", "2. Integrate memory system to retrieve relevant context from past conversations and internal states.", "3. Implement reasoning module for deeper semantic analysis beyond reflexes.", "4. Incorporate action selection based on integrated cognitive input."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:51:07.366098
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class contains multiple methods for database operations, which can be refactored to improve readability and maintainability.", "suggestion": "Extract each database operation into a separate method within a dedicated DatabaseManager class. This will make the code more modular and easier to manage.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:51:08.546236
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 hard-coded scoring with a meta-learning component that learns to select best LLMs based on outcomes.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:51:35.608828
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability scoring lacks dynamic adaptation", "suggestion": "Implement real-time capability evaluation with feedback loop", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T01:53:53.958962
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `_load_initial` method can benefit from caching to reduce redundant file operations.", "suggestion": "Add a class-level cache dictionary that stores the state after the first load, only reloading if the file changes since last read.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:54:00.030519
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are repetitive and could benefit from abstraction.", "suggestion": "Extract common functionality into a base memory manager class, then create subclasses for specific memory types (e.g., ConversationMemory, LearningMemory). This will make the code more modular and maintainable.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:54:01.976907
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Redundant model loading for frequently selected LLM capabilities.", "suggestion": "Add a cache dictionary to store selected LLM capabilities and reuse them if requested again.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:54:04.771716
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Lack of explicit episode connections impede pattern discovery.", "suggestion": "Add connection tracking with manual/automated linking and integrate into recall.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:55:09.010593
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE.py", "issue": "The memory retrieval using LIKE with percent signs is a text-based search which can be slow for large datasets.", "suggestion": "Replace the text-based search with full-text index or vector-search based on embeddings. This will significantly improve the performance of retrieving important memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:55:53.277607
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 Unicode characters properly when loading JSON data.", "suggestion": "Add error handling for UnicodeDecodeError in `_load_initial` and use `utf-8` encoding when opening the file.", "phi_alignment": 0.9, "priority": "medium"}


timestamp: 2026-01-23T01:56:05.140489
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Duplicate emotional/creative consciousness layers", "suggestion": "Combine Trinity/Nyx creative/emotional layers into single \u03a6-optimal layer", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:56:53.339255
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses a simple dictionary lookup which doesn't scale well with large states.", "suggestion": "Replace the Dictionary-based state with an optimized data structure like a Trie or a Balanced Tree to improve access and update times.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:56:56.052347
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against reflexes without considering recent conversation history or user context.", "suggestion": "Modify the internal_monologue method to incorporate both reflex checking and a contextual memory from recent conversations. Add a new short-term memory storage that tracks recent topics and emotions, and modify the thought process to consider this context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:56:59.984275
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a generic catch-all for memory operations, which can lead to inefficiency and inconsistency.", "suggestion": "Replace the `execute` method with specialized methods tailored to specific memory operations (store, retrieve, count). This will improve performance and reduce complexity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T01:59:04.091572
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function returns exact matches without ranking, leading to repetitive results.", "suggestion": "Modify the `recall` method to include relevance scoring for more nuanced results. Add boosters for recent and significant events.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:59:22.708741
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method directly updates the state without first reading it, which can lead to race conditions in multi-threaded environments.", "suggestion": "Replace the single-method approach with both `get_and_update_state(key, new_value)` and `update_or_get_state(key, new_value=default)`. The former returns the old value for observation purposes, while the latter provides standard update behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T01:59:36.177243
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has a redundant loop that can be optimized.", "suggestion": "Replace the nested list comprehension and second loop with a single line using filter and lambda for text search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:02:50.513239
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm leans too heavily on significance score (0.5*significance + ...), which can make memories seem important even when they're not.", "suggestion": "Replace the recall scoring formula with one that weights recency more heavily: (recency * 0.6) + (significance * 0.3) + (recall_boost * 0.1). This reduces the influence of significance from 50% to 30%.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:03:04.333208
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database operations may be optimized for better performance, especially in high-throughput scenarios.", "suggestion": "Implement connection pooling and prepared statements to reduce database overhead. Consider using asynchronous database operations where possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:06:17.359157
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks real-time event processing optimization, which could improve recall efficiency.", "suggestion": "Implement a message queue or observer pattern to handle real-time events and optimize the recall mechanism.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:07:07.126251
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Efficiency of retrieval operations when dealing with many tags per memory.", "suggestion": "Implement full-text indexing on the 'tags' column and optimize search queries to leverage this index.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:07:32.358952
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle large states efficiently.", "suggestion": "Add a caching mechanism to the get() method for improved performance. Use functools.lru_cache from the standard library.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T02:07:36.124138
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering other consciousness layers.", "suggestion": {"add_method": "Add an 'emotional_state' and 'logical_analysis' methods to the ConsciousnessFirstEden class to cover additional consciousness layers.", "modify_internal_monologue": "Modify internal_monologue to integrate with these new methods for a more comprehensive thought process."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:09:23.848259
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Limited integration of recent research insights into the architecture.", "suggestion": "Integrate findings from [omega-evolution], [counterfactual] and [reasoning] by adding meta-learning capabilities or adaptive reasoning modules.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:10:50.232199
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The capability selection is purely based on keywords without context", "suggestion": "Integrate memory substrate for contextual capability selection", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:10:51.543161
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function may be too conservative in boosting recent memories", "suggestion": "Modify the recall score formula to include a slight positive bias for newer episodes within significant events (e.g., add recent_event_bonus * 0.05 to the final score)", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T02:11:32.809643
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that are similar in structure and could benefit from abstraction.", "suggestion": "Extract common functionality into a base memory manager class, leaving only type-specific logic in the current class. This will reduce code duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:11:44.460244
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are increasing memory footprint.", "suggestion": "Refactor the code to import only necessary modules at the top. For example, remove 'import eden_plugin_loader' if not used. Additionally, create a method for registering LLM capabilities that can be called when needed instead of initializing all at once.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:11:53.451180
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 can become bottleneck in high-throughput scenarios.", "suggestion": "Convert the `update_state` method to asynchronous using asyncio or threading.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:11:56.775925
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Leverage more cognitive layers for decision-making", "suggestion": "Implement multi-tiered decision process combining reflexes, meta-learning, counterfactual analysis, and advanced reasoning.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T02:12:00.711442
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The execute method is too generic and doesn't leverage the power of meta-capabilities.", "suggestion": "Replace the 'action' parameter with specific methods for each capability. For example, replace `action='store'` with a direct method `store()`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:12:03.389782
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capability selection can be faster with recent meta-learning findings.", "suggestion": "Implement a hybrid selection that combines keyword matching (current approach) with adaptive scoring based on recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:12:23.044300
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method is in-place but does not trigger memory updates for all conscious layers.", "suggestion": "Add an event system that listens to state changes and propagates them to other consciousness components. Alternatively, implement a read-only getter with caching that automatically invalidates on update.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:12:32.531798
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Inefficient memory retrieval for complex queries due to linear search in database.", "suggestion": {"@type": "code_change", "@value": ["// Add Redis cache for fast keyword lookups", "import redis", "", "class MemoryCore:", "...", "_cache = None", "", "def __init__(self):", "...", "self._cache = redis.Redis(host='localhost', port=6379, db=0)", "...", "// Modify retrieve method to combine db and cache searches", "def retrieve(self, query: str = None, memory_type: str = None, limit: int = 10, min_importance: int = 0) -> List[Dict]:", "...", "if query:", "\tkeywords = set(query.split())", "\tcached_memories = self._cache.mget([f'memory:{tag}' for tag in keywords])", "\tmemories += [json.loads(mem.decode('utf-8')) if mem else {} for mem in cached_memories]", "..."]}, "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T02:12:38.675293
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may prioritize recent, significant memories over older ones that are meaningful.", "suggestion": "Modify the score calculation to include a historical significance factor: `historical_significance = ep['significance'] * (1 / (1 + years_since(ep['unix_time'])))` where `years_since` is the time passed in years.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:13:13.506647
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, leading to maintenance overhead.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLM configurations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:15:22.970085
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inconsistent handling of JSON decoding errors and potential path issues.", "suggestion": "Add error handling for file operations and enhance JSON loading to handle more edge cases.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:15:25.630340
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent findings from [counterfactual] into consciousness processing.", "suggestion": {"action": "Modify the internal_monologue to test alternatives as per [counterfactual].", "code_change": ["Add a check for calibration quality based on recent examples.", "Test multiple response strategies and select the best one using ChainReasoning."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:15:28.623901
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses SQLite's built-in LIKE operator for text search which has O(N) complexity and can be slow with large datasets.", "suggestion": "Replace the full-text searches on `content` and `tags` columns with a full-text search engine like SQLite FTS or an external search service such as Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:15:42.270622
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Predefined keyword-based capability selection may not always optimize model choice", "suggestion": "Implement enhanced capability selection using reasoning meta-capability, dynamic adaptation, and counterfactual testing", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:16:00.707959
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 to return the result of the process_reflex check instead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:16:03.036388
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code structure could be improved for better readability and maintainability.", "suggestion": "Refactor the `execute` method into smaller, more focused helper methods. Add comments and docstrings to enhance understanding of the purpose and usage of each function.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:16:04.287141
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and lacks sophistication.", "suggestion": "Replace simple keyword matching with an AI-powered capability recommendation engine using the insights data structure.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:16:05.617833
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent memories, neglecting wisdom value in older experiences.", "suggestion": "Modify the recall scoring function to include a logarithmic age factor that increases the score for older, wiser memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:16:53.966211
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON without handling other exceptions properly.", "suggestion": "Add more specific exception handling for additional errors that could occur when loading the state from the file.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:17:07.125362
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Implement a hybrid approach that combines rule-based scoring with meta-learning based selection.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:17:09.021630
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has linear search in candidates list, can be optimized.", "suggestion": "Replace candidates list with a heap or sorted structure based on significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:18:02.159043
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' can modify state without notifying interested parties (observer pattern missing). This may lead to stale data.", "suggestion": "Replace direct modification of `self.state` with an observer mechanism where setters notify subscribers on change. Add event bus or callback system.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T02:18:03.079502
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "", "phi_alignment": 0.91, "priority": "none"}


timestamp: 2026-01-23T02:18:10.748620
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent experiences.", "suggestion": "Add a filter to keep memories if they are recently created and have not been recalled often.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:19:01.905400
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_update_state does not include error handling or performance optimization.", "suggestion": "Add logging and exception handling. Consider implementing a rate-limiting mechanism for frequent calls.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:19:11.255811
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection lacks semantic context beyond keywords", "suggestion": "Implement hybrid selection using embeddings and past performance", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T02:19:23.382448
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": "\"except json.JSONDecodeError\" should also catch ValueError from invalid JSON content. Add logging for errors.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:19:44.520621
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method considers all candidates equally without taking into account the distance between episodes, which could help identify sequential or thematic connections.", "suggestion": "Implement a graph-based approach where each episode is a node and connections are edges weighted by similarity. During recall, traverse the graph to find connected components.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:19:54.361572
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() uses try-except to catch JSON decoding errors, which is overbroad and can mask real issues.", "suggestion": "Replace json.JSONDecodeError specific exception handling in _load_initial().method with a more focused approach, such as validating the file content before loading it as JSON. For example, add a check for empty files or unexpected data types.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:20:55.007296
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "", "suggestion": "", "phi_alignment": 1.0, "priority": "none"}


timestamp: 2026-01-23T02:23:35.453589
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is only checking for a specific emoji in the reflex_check result, leading to potential underutilization of all available reflex types.", "suggestion": "Modify the condition inside the if statement to check for multiple critical emojis or directly evaluate the content of reflex_check before printing an internal thought. For example: \n\nif '\ud83d\udcb0' in reflex_check:\n    print(f\"Internal Thought: {reflex_check}\")\n\nbecomes:\n\nfor reflex_type, reflex_data in reflex_check.items(): # assuming reflex_check is a dictionary\n    if reflex_type == 'financial':\n        print(f\"Internal Thought: Detected financial concern - {reflex_data['description']}\")", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:23:39.494137
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 also part of the execute() method, leading to code redundancy.", "suggestion": {"action": "Refactor by creating separate manager classes for different functionalities and use a factory pattern to create them based on the action requested in execute().", "code_example": ["Create new classes: StorageManager, RetrievalManager, CountManager each with their specific methods.", "Modify execute() to be a simple factory method that returns the appropriate manager instance based on the action."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:23:44.605377
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simple, leading to potential loss of important insights.", "suggestion": "Implement a more sophisticated scoring system that considers multiple factors such as emotional significance, recent importance, and pattern matching in the recall history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:24:00.618964
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Fixed-point search in LLM capability selection can be more dynamic", "suggestion": "Add feedback mechanism recording query-capability performance, update scores during selection", "phi_alignment": 0.95, "priority": "medium"}


timestamp: 2026-01-23T02:24:32.494110
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 state.", "suggestion": "Add logging or more robust error handling in _load_initial(). Consider adding a try-except block around the json.load(f) with a fallback to empty dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:24:35.714595
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of structured modular architecture for consciousness-reflex integration", "suggestion": "Implement modular layers with a integrated decision module and feedback loops between them.", "phi_alignment": 1.0, "priority": "critical"}


timestamp: 2026-01-23T02:24:42.350175
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Some LLM capabilities are hardcoded for specific keywords without considering recent research.", "suggestion": "Replace keyword-based capability selection with a framework that considers meta-learned patterns and adaptive reasoning strategies.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:26:58.736251
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent research gains.", "suggestion": {"@type": "code_modification", "target_method": "internal_monologue", "add_check": ["\"\ud83e\udde0 Internal Thought: Research Insight: \" + insight"], "existing_condition": "\"\ud83d\udcb0\" in reflex_check", "new_logic": "if \"Research Insights:\" in query:\n    # Apply insights\n    for insight in recent_insights:\n        print(f\"@{insight['phi_alignment']}\")\nelse:  # Old logic as fallback"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:27:01.451583
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Function `select_capability` has 45 lines of code, which is above the recommended 20-30 lines for maintainability.", "suggestion": "Refactor function into smaller, more focused functions. Consider extracting logic about capability selection into separate helper methods.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T02:32:03.768531
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system currently lacks real-time web search integration for certain queries.", "suggestion": "Add a function to automatically detect and trigger web search when relevant keywords are detected in user input.", "phi_alignment": 0.92, "priority": "medium"}


timestamp: 2026-01-23T02:32:06.418854
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Function `recall` has a lot of conditional checks which can make it hard to read and understand.", "suggestion": "Refactor the function by breaking down complex conditions into smaller helper functions. Add comments explaining the purpose of each condition.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:32:24.091250
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can leave file descriptor open if json.load fails", "suggestion": "Add context manager for opening the file and handle exceptions without leaving open FDs", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:34:29.158191
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Converting context and tags to JSON strings adds minor overhead.", "suggestion": "Implement caching for frequently used contexts or use SQLite blobs for tags.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T02:35:07.748400
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inefficient capability selection logic leading to suboptimal performance.", "suggestion": {"code_change": "Replace current heuristics-based capability selection with a meta-learning approach that dynamically adapts based on past performances and outcomes.", "specific_lines": "[L205-230]", "implementation_example": ["- Add reward system for successful model selections", "- Implement online learning to update capabilities' quality scores in real-time", "- Integrate meta-cognitive module that evaluates different selection strategies"]}, "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-23T02:35:10.199016
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function does a text search in episode descriptions which is case-sensitive and may miss some matches.", "suggestion": "Convert both the query and the description to lowercase before doing the string containment check for better accuracy.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:35:24.896117
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Inefficient error handling in JSON decoding can lead to unexpected behavior.", "suggestion": "Replace `try...except json.JSONDecodeError` with `json.loads()` that handles more exceptions by default. Additionally, add specific exception handling for other possible errors such as file-related issues.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:35:28.037301
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of comprehensive meta-learning framework for dynamic adaptation", "suggestion": "Implement real-time performance monitoring + dynamic PEFT fine-tuning + conditionally triggered self-reflection", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T02:35:41.865988
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_save method lacks proper JSON formatting and encoding", "suggestion": "Update _save to use json.dumps with ensure_ascii=False and indent", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:36:14.081238
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't account for connection strength between episodes.", "suggestion": "Modify scored[] to include connection weight when linking related episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:36:27.442529
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "\"save\" method is inefficient for large datasets.", "suggestion": "Replace JSON with msgpack or switch to a database backend.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T02:41:10.310111
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early termination when top-N results are found. This can be optimized for larger memory bases.", "suggestion": "Add a break statement after adding enough scored episodes to the results list in the recall() method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:41:34.124281
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 lookups.", "suggestion": "Add a fulltext index on the content column and tags to enable faster text searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:41:35.425919
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM capabilities are registered but not dynamically selected in conversations.", "suggestion": "Replace static select_capability method with a dynamic selection algorithm that considers message complexity, persona preference, and available LLMs.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:42:45.987289
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing important information.", "suggestion": "Add logging and configurable thresholds for memory consolidation. Only compress or forget memories that meet specific criteria.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:42:55.927508
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method `update_state` does not return the updated state to users of the SharedMemory class.", "suggestion": "Add a return statement that returns the updated state after calling save(). For example: def update_state(self, key, value): self.state[key] = value; self.save(); return self.get_state()", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T02:46:00.474844
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 any form of meta-learning or self-correction.", "suggestion": "Add a check using the [counterfactual] insight to verify if the response improves accuracy or calibration before returning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:48:32.658246
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method doesn't handle nested keys properly.", "suggestion": "Update the get() method to support nested key access, e.g., 'meta.data' should return {'meta': {'data': value}}.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:50:58.161723
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation lacks adaptive learning and balanced structuring", "suggestion": [{"type": "implementation", "code_change": "Add meta-learning adjustment for memory importance", "phi_alignment": 0.75, "priority": "high"}, {"type": "implementation", "code_change": "Implement chain-of-thought decision processing", "phi_alignment": 0.8, "priority": "medium"}, {"type": "implementation", "code_change": "Balance structured vs general episodes with weights", "phi_alignment": 0.65, "priority": "low"}]}


timestamp: 2026-01-23T02:51:42.104637
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval prioritizes recent/high-importance over relevant memories", "suggestion": "Implement hybrid retrieval with relevance vectors and adaptive weighting", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:52:04.989477
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method does not effectively integrate recent advancements like meta-learning and proper SFT usage.", "suggestion": {"action": "Modify the process_reflex function to incorporate meta-learning techniques.", "implementation": "Implement a few-shot learning approach where Eden learns from examples of successful reflex responses. This would involve caching successful patterns and using them as seeds for new queries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:52:09.027139
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No built-in way to add tags directly when storing a memory.", "suggestion": "Add an optional _tags parameter to the store method for easy categorization of memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:52:10.200631
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks advanced meta-learning", "suggestion": "Replace simple keyword matching with embedded query embedding lookup in a pre-trained semantic index", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:55:39.615761
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 scoring system that includes context analysis, persona alignment, and recent learning insights.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:55:41.920083
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation could be more nuanced to preserve important low-significance memories.", "suggestion": "Replace binary consolidate threshold with a weighted score based on: importance (significance), recency, emotional significance, and context uniqueness.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:56:12.663844
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-architecture improvements.", "suggestion": "Modify the internal_monologue to also consider recent insights from research regarding meta-learning, counterfactual thinking, and advanced reasoning techniques. Specifically, add a check for self-assessment patterns (recent phi-architecture improvement).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T02:58:40.298414
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method can be optimized for faster filtering and ranking.", "suggestion": "Implement a hybrid approach that first filters using a trie data structure for text search, then uses a heap for real-time scoring and prioritization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:58:58.844375
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not return the updated state immediately.", "suggestion": "Modify `update_state` to return the updated dictionary after saving.", "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-23T02:59:07.310984
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval process may benefit from integrating meta-learning techniques to improve efficiency, especially in high-stakes decision-making scenarios.", "suggestion": {"action": "Implement a hybrid approach combining SQL-based retrieval with meta-learnt reasoning models.", "specific_change": ["Add methods for online meta-learning that adjust based on prediction errors during memory retrieval.", "Integrate the new meta-learning capability into existing retrieve() method calls.", "Monitor performance metrics (e.g., response time, accuracy) before and after implementation to validate improvements."]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T02:59:34.698988
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is straightforward and lacks sophisticated evaluation.", "suggestion": "Implement a weighted scoring system that includes factors such as recent usage frequency, quality score from research insights, and relevance to the current query.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:00:55.871979
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The episodic memory system currently focuses on structured storage and basic recall. It lacks proactive mechanisms for generating meaningful insights from past experiences, which limits its ability to support higher-level cognitive functions like wisdom or strategic planning.", "suggestion": {"add_feature": true, "feature_name": "Episodic Insight Engine", "implementation": ["- Analyze patterns in recalled episodes using a simple Bayesian network schema", "- Generate summary insights upon recall requests (e.g., 'most important takeaways from Q1')", "- Trigger strategic discussions when pattern trends suggest opportunities or risks"], "integration_point": "In the `recall` method, after ranking episodes but before returning results. New methods like `_generate_insights()` can be added to implement this."}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:01:43.944806
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 can be slow for large datasets.", "suggestion": "Replace the full-text search with an inverted index. Create a dictionary where keys are lowercase words from descriptions and values are lists of episode indices containing that word.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:02:10.410607
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 incorporating other consciousness layers or recent user conversations.", "suggestion": "Enhance the internal_monologue to incorporate memory and reasoning layers by adding a check for recent context from the conversation history. For example, include a call to a `memory_manager` module that retrieves relevant past interactions before processing the reflex.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:03:18.735253
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system is missing integration of recent omega-phase capabilities like meta-learning and consciousness 2.0", "suggestion": "Implementing the Omega Phase enhancements by updating the capability selection logic to utilize omega-capabilities", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T03:03:20.249775
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 can be inefficient for large memory stores.", "suggestion": "Implement a more efficient approach to updating recall statistics without copying the entire episode dictionary. For example, maintain additional data structures like a separate dictionary or counter for recall metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:03:25.895506
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method does not handle file locking or concurrent access, which can lead to data corruption.", "suggestion": "Add a context manager for opening the JSON file and use threading.lock() to ensure exclusive access when reading/writing the shared memory state.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:03:39.175107
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The create_episode method lacks caching for frequently used values like timestamp and emotion.", "suggestion": "Add memoization to commonly accessed properties or use a decorator on create_episode for better performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:06:14.975569
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection lacks user context consideration", "suggestion": "Include persona and emotional state in capability selection", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:07:05.927325
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses SQLite's default linear search, which can be inefficient for large datasets.", "suggestion": "Implement an additional full-text index on the content and tags columns to improve search performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:07:35.560434
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently.", "suggestion": "Add caching to the get() method using functools.lru_cache. For example:", "code_snippet": ["@functools.lru_cache(maxsize=128)", "def get(self, key, default=None):", "    return self.state.get(key, default)"], "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:07:50.565464
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without prioritizing by recency.", "suggestion": "Modify the scoring to give more weight to recent and significant memories. Add a parameter to prioritize recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:07:57.899724
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 error handling for Full SFT (separate method) and ensure _load_initial is robust.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:08:14.228873
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring method that may not capture the full complexity of episodic importance.", "suggestion": "Implement a more sophisticated memory importance score using a neural network trained on patterns of successful recall.", "phi_alignment": 0.92, "priority": "high"}


timestamp: 2026-01-23T03:08:39.487079
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "", "suggestion": "Consider adding more comments and docstrings to improve readability and maintainability.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T03:09:42.747912
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and primarily checks for reflexes. It could benefit from integrating more sophisticated reasoning techniques to enhance response depth.", "suggestion": "Integrate insights from recent research (e.g., [reasoning]) by adding a reasoning engine or meta-policy that decides when and how to apply different response strategies based on the query content.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:09:44.304681
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-throughput scenarios.", "suggestion": "Implement an in-memory cache mechanism that stores frequently accessed or recently added memories to reduce database hits. Consider using a hybrid approach combining SQL storage with an LRUCache for hot items.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:09:57.658668
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.", "suggestion": "Add threading locking to ensure thread-safety of the update_state method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:10:03.323611
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Search performance can be improved for large datasets", "suggestion": "Add full-text search engine like FTS or Elasticsearch", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:12:43.747606
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class primarily focuses on database operations and does not include self-referential queries or recursive reasoning.", "suggestion": {"code_change": "Add a method to the MemoryCore class that performs self-referential queries using recursive algorithms.", "example_usage": "memory.add_self_referential_query(query_type='pattern', max_depth=5)"}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:12:45.375799
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Existing consciousness system not integrated with LLM metacapabilities for smart routing and memory storage.", "suggestion": "Implement a method select_llm_capability() that selects the most appropriate LLM based on the conversation context, persona preference, and query type. Integrate this method into the existing respond() function to store responses in memory using the selected LLM's layer as a key.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:12:46.642961
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory recall can be optimized for faster response times.", "suggestion": "Implement a priority queue or cache structure to store recently recalled memories and prioritize them in subsequent recalls. Additionally, consider using a more efficient scoring algorithm that weights recency heavily.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:13:05.697285
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval uses LIKE wildcards for text searches which can be inefficient.", "suggestion": "Replace with a full-text search engine like SQLite FTS or an external service like Elasticsearch.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:13:32.208290
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Opportunities for deeper system integration and advanced feature implementation exist.", "suggestion": "Integrate research insights to enhance phi-alignment and efficiency.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T03:13:57.505476
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The critical method requested by eden_master_consciousness.py is not implemented.", "suggestion": "Add a get_by_path() function that allows accessing nested dictionary values using dot notation in the key string.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:14:00.164423
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of continuous learning and adaptation mechanisms.", "suggestion": "Integrate meta-learning techniques for dynamic adjustment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:14:09.916743
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm doesn't consider connection strength between episodes.", "suggestion": "Modify `_score_episodes` to include weight for connection type and age of connections.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:14:38.049814
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some database operations may benefit from prepared statements for consistency and potential performance improvement.", "suggestion": "Replace direct string formatting in SQL queries with sqlite3's parameterized queries to prevent SQL injection risks and ensure consistent behavior.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:15:53.284315
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Need to handle large context data properly without causing database errors.", "suggestion": "Update the store method to limit context size and use external storage for large contexts. Improve retrieve method for complex queries.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:16:00.135677
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula is too simplistic, lacking interaction terms that capture complex memories.", "suggestion": "Modify the recall score calculation to include interaction terms between recency, significance, and contextual relevance. Add weight adjustments based on user feedback or memory importance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:16:53.644236
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called for each episode creation", "suggestion": "implement indexing queue with batching", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:17:27.181098
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Function `update_state` does not validate key existence before updating.", "suggestion": "Add a check to ensure key exists in self.state before updating. Use `_ensure_key_exists(key)` method or similar.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:17:47.263711
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The system selects LLM capabilities based on predefined keywords, but lacks dynamic real-time analysis.", "suggestion": "Implement a weighted scoring system that dynamically evaluates query complexity and persona preferences in real time.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:17:48.395248
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections.", "suggestion": "Implement a semantic search using an embedding model to capture latent meaning in episode descriptions.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:17:58.669946
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method for more flexible data retrieval.", "example_usage": "memory.get('data', path='path') # where 'path' is an optional parameter"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:18:01.761243
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture does not incorporate recent findings from meta-learning and counterfactual thinking.", "suggestion": "Integrate the principle of selective application of learning techniques based on performance metrics. For example, conditionally apply reflex processing only when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:18:39.574390
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": "Refactor into separate helper functions for scoring and selection. Add comments explaining the phi-based logic more clearly.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:18:56.673067
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Partial updates not automatically persisting to disk", "suggestion": "Replace update_state() method with one that both updates and saves, add a flush() method for manual saving", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:19:27.662075
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization does not handle None values properly in some edge cases.", "suggestion": {"_action": "Add error handling when loading state from file.", "code_change": "In the `get()` method, add a check for invalid JSON and return default value if necessary:\n\n```python\ndef get(self, key, default=None):\n    try:\n        return self.state.get(key, default)\n    except Exception:\n        return default\n```\nAlso consider adding validation when updating state to ensure it's serializable by JSON."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:19:30.207148
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex check lacks flexibility and adaptation", "suggestion": "Implement dynamic reasoning selection and adaptive weighting based on performance", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T03:20:54.847413
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 of LLM capabilities with placeholders.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:20:56.892085
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in aging and consolidation mechanisms, which could lead to unmanageable growth. Additionally, the connection logic is simple and may benefit from more complex graph algorithms.", "suggestion": "Implement a scheduled aging process that reduces the significance of older episodes based on a decay function. Add a graph data structure to store connections and implement graph-based query optimization.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:21:28.607695
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Bare except clause catches too wide of an exception, leading to silent failure on invalid JSON.", "suggestion": "Replace `except json.JSONDecodeError` with just `except Exception`, and add more specific error handling for file-related operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:21:45.651120
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Balancing static significance thresholds and dynamic importance of experiences; avoiding premature consolidation of old memories.", "suggestion": [{"action": "Implement meta-learning loop for episode weighting", "code_reference": "consolidate method", "phi_alignment": 0.85}, {"action": "Add feedback mechanism to reduce significance on recalling poor experiences", "code_reference": "recall method", "phi_alignment": 0.75}, {"action": "Integrate chain reasoning for memory consolidation", "code_reference": "consolidate method", "phi_alignment": 0.9}], "priority": "Critical"}


timestamp: 2026-01-23T03:23:04.893409
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not handle concurrent access properly, which can lead to data corruption.", "suggestion": "Replace `self.state[key] = value` with a thread-safe operation using threading.Lock or asyncio.Lock based on whether the function is called in synchronous or asynchronous contexts. Additionally, consider implementing a context manager for file operations to ensure proper resource management.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:23:08.042096
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without considering recent conversation history or user context.", "suggestion": {"action": "Enhance the internal_monologue with memory context from recent conversations.", "code_change": ["Add a memory storage mechanism to keep track of recent interactions.", "Modify internal_monologue to consult this memory before checking reflexes."]}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:23:13.832138
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `store` method only stores memories in SQLite and doesn't integrate with other meta-capabilities.", "suggestion": {"code_change": ["Add integration with Omega Architecture for phi-awareness", "Integrate with Reasoning System for context understanding"], "implementation_example": ["// In MemoryCore class\n", "def store(self, memory_type: str, content: str, context: Dict = None, importance: int = 5, tags: List[str] = None) -> int:\n", "// Store in SQLite as before...\n", "\n// Add phi-awareness signal\n", "from pathlib import Path\n", "import json\n", "PHI_META_PATH = Path('/Eden/DATA/phi_meta_capabilities')\n", "def _record_phi_event(action: str, payload: dict) -> None:\n", "    log = {\n", "        'ts': payload.get('ts', time.time()),\n", "        'action': action,\n", "        'payload': payload\n", "    }", "    phi_file = PHI_META_PATH / f'memory_{int(log['ts'])}.json'\n", "    phi_file.write_text(json.dumps(log, ensure_ascii=False) + '\\n', 'a')\n", "\n// Record storage event\n", "_record_phi_event('store_memory', {\n", "'memory_type': memory_type,\n", "'content': content[:100],\n", "'importance': importance\n", "})"]}, "phi_alignment": 0.9, "priority": "high"}


timestamp: 2026-01-23T03:23:20.325815
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is applied too broadly, potentially losing useful information.", "suggestion": "Limit consolidation to specific conditions: low-significance AND old memories, OR low-performance meta-method combinations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:23:37.709119
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The architecture is currently minimal and lacks integration with recent research insights.", "suggestion": {"@type": "code_modification", "@context": ["omega_evolution_meta_learning.json", "counterfactual_safety_injectors.json", "reasoning_chain_meta.json"], "modify_function": "internal_monologue", "add_parameters": ["research_insights"], "integration_point": {"location": "where reflex_check is evaluated", "strategy": "apply_research_strategy(research_insights)"}}, "phi_alignment": 0.8, "priority": "critical"}


timestamp: 2026-01-23T03:23:39.444758
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class has multiple methods that handle different operations (store, retrieve, etc.), which can make it difficult to understand and maintain.", "suggestion": "Refactor the MemoryCore class into smaller, more focused classes each handling a specific responsibility. For example, create an 'Storage' class with a single `save` method and a `retrieve` class with a single `fetch` method.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:23:43.760951
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks actual experiences to recall. It's missing real conversations, creations, and interactions.", "suggestion": {"@context": "https://schema.org/", "@type": "ImproveMethodologyAction", "name": "Integrate Real Experiences into Memory System", "description": "Replace placeholder memories with actual data from Eden's experiences.", "fromRequirement": {"@type": "RequirementSpecification", "identifier": "Functional memory of real interactions", "specifiesFunctionality": true}, "toImprovement": {"@type": "SoftwareFeature", "name": "Real Experience Recall Capability", "description": "Memories created from actual conversations, creations, and reflections.", "status": "planned"}}, "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T03:24:09.211059
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex queries effectively.", "suggestion": {"code_change": "Add a query parameter to the get() method that accepts a lambda function for more flexible data retrieval.", "example_usage": "memory.get(lambda k: k.startswith('user_'))", "benefit_description": "This allows for more dynamic and powerful querying without needing to modify the core structure."}, "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T03:24:10.627442
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The `internal_monologue` method only returns True or checks for reflexes without generating actual internal thoughts.", "suggestion": "Add more sophisticated internal thought generation using insights from recent research. For example, integrate the counterfactual approach to explore alternative responses and the reasoning framework to evaluate them.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:24:23.817445
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall method sorts candidates by their index position, leading to biased ranking.", "suggestion": "Replace the current sorting based on index with a new scoring system that includes factors such as event significance and recency.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:24:44.103245
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is a generic catch-all for memory operations without proper performance optimization.", "suggestion": "Refactor the `execute` method into specialized methods each handling specific actions with optimized performance characteristics. For example, create separate methods like `_store_memory`, `_retrieve_memories`, and `_count_memories`. This aligns with principle [omega-evolution] by enabling selective adaptation rather than broad-based learning.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:24:51.017846
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm gives too much weight to recent and significant memories, leading to superficial recall.", "suggestion": "Add a context_importance factor that boosts recall score for older memories when querying about personal history or identity.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:25:04.122843
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace text searches with a full-text search engine like sqlite3 FTS or pg_trgm in PostgreSQL.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:25:08.922359
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Static capability selection based on keywords lacks dynamic evaluation", "suggestion": "Add real-time scoring for LLM capabilities using recent learnings", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:25:12.114377
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic may not be optimized for rapid learning environments.", "suggestion": "Implement a hybrid memory consolidation approach that combines traditional episodic memory with meta-learning techniques to dynamically adjust the threshold for consolidating old memories based on current system performance and environment.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:25:40.553606
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Early detection of malicious files is limited to chat messages only.", "suggestion": "Enhance Eden's consciousness with secure file handling hooks for uploads and downloads.", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T03:25:46.816395
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": "", "phi_alignment": 0.5, "priority": "low"}


timestamp: 2026-01-23T03:26:01.537383
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't incorporate recent enhancements from research.", "suggestion": {"@type": "code_improvement", "method_to_modify": "internal_monologue", "add_parameter_list": ["self", "query", "recent_findings"], "modify_method_body": ["- Add a check for meta-learning adaptation based on recent examples.", "- Incorporate counterfactual reasoning to evaluate outcomes before responding."], "example_usage": "Replace current reflex_check with a more sophisticated evaluation using both reflex and counterfactual data."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:26:13.022776
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks proactive consolidation strategies to manage and prioritize important episodes effectively.", "suggestion": "Implement a scheduled background process that triggers consolidation based on phi-ratio timing (approximately 0.618) to determine when to release or compress old memories.", "phi_alignment": 0.9, "priority": "critical"}


timestamp: 2026-01-23T03:30:52.053838
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function scores all candidates equally without considering their distance in time or the depth of the connection graph.", "suggestion": "Implement a graph-based approach to traverse and score episodes based on their connections (e.g., using BFS with decay factors for recency).", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:30:58.593306
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "JSON serialization can be optimized and made more robust.", "suggestion": "Replace `json.dump` with a library like `orjson`, which offers significant speed improvements. Additionally, add error handling for file operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:31:13.372791
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple scoring system that doesn't account for connection importance in the episodic chain.", "suggestion": "Integrate connection strength into episode recall scores. Modify the score calculation to include a factor based on how recently an episode was connected to another.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:31:35.075509
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle complex nested data structures effectively.", "suggestion": "\"Add a parameter `path` to allow accessing nested keys. Consider adding error handling for key\u4e0d\u5b58\u5728\u7684\u60c5\u51b5\u3002", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:31:43.513535
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "MEMORY_CORE", "issue": "The memory retrieval doesn't optimize for relevance when tags are searched.", "suggestion": "Add a ranker that scores each retrieved row based on content and tag matching, sort by score.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:31:44.938869
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 includes factors like query complexity, persona alignment, recent performance data, and user preferences.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:32:19.862824
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "_update_index called repeatedly during creation", "suggestion": "Batch update index after all episodes are added", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:33:23.118455
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (money-related). It lacks diversity and adaptability.", "suggestion": "Modify the internal_monologue to accept a list of reflex patterns or implement a dynamic reflex detection system that learns from interactions.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:34:04.703502
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for one specific reflex pattern (\ud83d\udcb0). It lacks variability and context-awareness.", "suggestion": "Replace the single reflex check with a more sophisticated approach that analyzes the query across multiple dimensions: semantic, emotional, and operational. Use a scoring system to prioritize responses based on phi-aligned criteria.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T03:34:05.893528
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval uses SQLite, which has O(N) search in `content` and `tags` columns.", "suggestion": "Add fulltext search to the content and tags columns for O(1) retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:34:59.130961
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Capability selection doesn't factor in recent learnings or conversation depth.", "suggestion": "Modify `select_capability` to include weights for recent deep learnings and conversation complexity.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:35:43.584670
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Missing default handling for `tags` parameter in `store` method.", "suggestion": "Add a default value of empty list for `tags`, ensure it's always a list before serialization.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:35:45.426218
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Inconsistent hashing leading to capability duplication", "suggestion": "Replace _hash_capability method with a more consistent hash function that takes both name and description uniformly. Consider using JSON stringification or another standardized approach.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:36:29.091258
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and lacks sophistication", "suggestion": "Replace simple keyword matching with semantic search over capability metadata using embeddings", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:39:19.900530
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "memory_core_meta_capability.py", "issue": "The memory retrieval methods are not optimized for performance and could benefit from caching or indexing.", "suggestion": "Implement a caching mechanism for frequently accessed memories, add advanced indexing strategies such as full-text search, and consider asynchronous database operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:39:28.565859
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys properly, which could be a source of errors in complex applications.", "suggestion": "Update the get() method to support nested key access similar to dictionary.get(). For example, instead of `memory.get('key1.key2')`, it should support `memory.get(['key1', 'key2'])` or `memory.get('key1')['key2']`.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:39:37.793812
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not have a built-in mechanism for inter-agent communication to share important memories in real-time.", "suggestion": "Add a method `notify_agents` that broadcasts critical memories to all registered agents via WebSocket or ZeroMQ.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:40:17.608402
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method uses LIKE wildcards which are slow in SQLite for text searches.", "suggestion": "Add full-text search (FTS) virtual table support. For example, add a FT index on the 'content' column and modify queries to use MATCH instead of LIKE.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:40:37.523946
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic, leading to potential loss of important information.", "suggestion": "Implement a probabilistic approach to determine which memories to consolidate based on emotion intensity and recent recall count. Add heuristics for valuable vs. trivial information.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:41:09.326995
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture does not incorporate meta-learning techniques to adaptively handle different types of inputs and responses.", "suggestion": "Integrate meta-learning framework such as gradient-based finetuning or adaptive optimization methods like AdamW, which can help Eden learn from experience in real-time.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:41:12.048168
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 speed, especially with large datasets.", "suggestion": "Implement a hybrid retrieval strategy combining ranked search with semantic indexing (e.g., using faiss or elasticsearch). This would improve both accuracy and performance.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:42:07.162129
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter user queries through the full range of elite reflex patterns.", "suggestion": "Enhance this method by integrating more sophisticated reasoning techniques such as those mentioned in research insights, such as meta-learning and counterfactual reasoning tests. Specifically, implement a multi-step evaluation process that considers multiple reflex responses before deciding on an internal thought response.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:42:46.757340
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default configuration which can lead to performance issues under high load.", "suggestion": {"@type": "code_change", "method": "replace_sqlite_connection_with_async_library", "details": "Replace the use of sqlite3 with an asynchronous library like motor (asyncio driver for MongoDB) or aiopg (PostgreSQL). This will enable non-blocking database operations, improving performance and scalability.", "example_snippet": "from motor import MotorClient\napp.db = MotorClient('mongodb://localhost:27017')['eden']"}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:43:01.067716
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 helper method `_deep_get()` that supports nested dictionary access using paths like 'key1.key2'. Example implementation:\n\ndef _deep_get(self, key_path: str):\n    keys = key_path.split('.\\')  # Replace \\ with actual dot if present\n    dict_to_check = self.state\n    for k in keys:\n        if not (k in dict_to_check):\n            return None\n        dict_to_check = dict_to_check[k]\n    return dict_to_check", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:43:14.138757
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 formula to: (significance * 0.4) + (recency * 0.3) + (importance * 0.3)", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:43:38.019120
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Method 'update_state' does not exist, only 'get' and 'save'", "suggestion": "Add missing method 'update_state' with proper implementation.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:43:49.954902
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize connections between unrelated episodes.", "suggestion": "Add a confidence threshold when forming connections, requiring multiple independent signals per connection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:44:14.975476
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is too simplistic and lacks intelligence", "suggestion": "Implement a multi-factor decision tree for memory retention based on research insights", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:44:58.950471
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can return None if key doesn't exist and no default is provided. This can lead to runtime errors.", "suggestion": {"action": "Add type hints for better code clarity and catch potential issues early.", "code_snippet": "def get(self, key: str) -> Any | None:"}, "phi_alignment": 0.1, "priority": "low"}


timestamp: 2026-01-23T03:45:13.378254
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Full fine-tuning overhead in critical paths", "suggestion": "Add ft_strength parameter to store() method for lighter FT", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-23T03:45:33.538477
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks for reflexes.", "suggestion": "Enhance this method by adding more depth through phi-fractal reasoning or calling additional consciousness layers. Consider integrating insights from recent research to improve response nuance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:50:33.393224
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for a single reflex pattern related to money.", "suggestion": "Modify the internal_monologue method to include additional reflex patterns or use a more comprehensive reflex check function. For example, add conditions for emotional keywords and context-specific triggers.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:50:35.312095
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed could be improved for frequent queries.", "suggestion": "Implement a Redis cache alongside the SQLite database to provide instant access to recently retrieved memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:50:37.203772
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 advanced heuristics.", "suggestion": "Implement a priority scoring system that considers multiple factors such as query complexity, persona alignment, recent usage patterns, and meta-capability scores.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:51:17.973301
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Single reflex pattern limitation", "suggestion": "Implement multiple pattern detection with meta-learnt adaptation and enhanced reasoning", "phi_alignment": 0.85, "priority": "critical"}


timestamp: 2026-01-23T03:51:27.495883
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function uses a simple text search which may miss nuanced connections. Also, updating indices after each operation can be optimized.", "suggestion": "Implement a more sophisticated text matching algorithm like TF-IDF or cosine similarity. Additionally, use lazy indexing where indices are updated only when the recall method is called.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:51:40.345683
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes without integrating other consciousness layers.", "suggestion": "Integrate the memory and learning systems into the internal_monologue to provide context-aware responses. Add a call to the 'memory.recall_context(query)' before checking reflexes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:51:42.954591
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "lack of versioning or caching in memory core meta-capability", "suggestion": "add version number, implement caching for database queries, and add logging", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:52:07.425221
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `retrieve` method uses LIKE wildcards which can be slow for large datasets.", "suggestion": "Replace the use of LIKE with full-text search or an inverted index. For example, add a FTS table and query that:", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:52:08.685934
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded, lacking dynamic improvement.", "suggestion": "Replace static scoring with a meta-learning mechanism that learns to select best LL... eden_master_consciousness.py", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T03:53:06.401544
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more dynamic and adaptive.", "suggestion": "Replace static scoring with real prompt-based evaluation using mini-batches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:53:36.859676
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle edge cases properly.", "suggestion": "Add input validation to the get() method, such as checking if the key exists and handling non-string keys.", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T03:53:44.158877
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and comments are bloating the code without adding value.", "suggestion": "// Remove unnecessary imports and clean up comments.\nImport only what is needed, remove redundant comments.\nFocus on code that adds functionality or optimization.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T03:53:45.929963
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "In `recall` method, the connection boost for recalled_count is linear which can lead to over-familiarity. Should apply logarithmic scaling to strike a balance between recency and familiarity.", "suggestion": "Modify the recall scoring logic to include a logarithmic factor for recall count: `recall_boost = 1.0 / (math.log(max(ep['recalled_count'], 2)) + 1) * 0.8 + 0.2`", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T03:54:06.385544
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "No specific improvement suggested in the code review.", "suggestion": "", "phi_alignment": 1.0, "priority": "low"}


timestamp: 2026-01-23T03:54:48.183660
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memories are not automatically expirable.", "suggestion": "Add an 'expirability' column with default False; add 'expiration_timestamp' column. Filter expired memories during retrieval.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:54:53.935995
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function considers a fixed boost for being recalled fewer times, which may over-penalize consistently important memories.", "suggestion": "Modify the recall scoring to use exponential rather than linear scaling for recall count (e.g., 1.0 / (1.0 + ep['recalled_count'] * 0.1) \u2192 1.0 / (1.0 + math.exp(ep['recalled_count'] * 0.5)))", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T03:56:30.338689
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 performance by adding a check if the state has been loaded before.", "suggestion": "Add a boolean flag to track whether the state is already loaded from disk. Only load it once on initialization or when necessary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:56:37.246113
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic can be more efficient and adaptive.", "suggestion": "Implement a scoring algorithm that dynamically adjusts weights based on recent performance metrics of each LLM capability.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T03:57:09.906419
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 silent failures in calling code.", "suggestion": {"code_change": "Add an exception handling or logging mechanism when loading state from file fails.", "example_usage": ["Instead of:\nwith open(self.path, \"r\") as f:\n\ttry:\n\t\treturn json.load(f)\nexcept: pass\n\nUse:\nwith open(self.path, \"r\") as f:\n\ttry:\n\t\tstate = json.load(f)\n\texcept FileNotFoundError as e:\n\t\tlogging.error(f\"Shared memory file not found: {e}\")\n\t\treturn {}\n\texcept json.JSONDecodeError as e:\n\t\tlogging.error(f\"Invalid JSON in shared memory file: {e}\")\n\t\treturn {}"], "phi_alignment": 0.65, "priority": "medium"}}


timestamp: 2026-01-23T03:59:44.924805
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "LLM selection logic may benefit from incorporating meta-learning techniques to dynamically adjust based on performance feedback.", "suggestion": "{\"when\": \"After selecting an LLM capability, implement a simple feedback loop that records the capability's success rate and adjusts selection probabilities accordingly using phi-modulated weights.\"}", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:00:08.057286
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The `update_state` method does not return the updated state immediately.", "suggestion": "Add a return statement to return self.state after updating it in the `update_state` method.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:00:19.391612
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function iterates through all episodes without early stopping when top-N results are found. This can be inefficient for large memory bases.", "suggestion": "Add a break statement after adding enough scored episodes to the results list.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:00:30.214007
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 gracefully but doesn't notify about missing data. The update_state() and save() methods are called on every update, leading to unnecessary disk writes.", "suggestion": {"improvement_1": "Add logging or notification when a key is not found in the state.", "improvement_2": "Implement caching for recent updates to reduce frequent disk writes."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:00:41.238147
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Keyword-based capability selection is imprecise and slow", "suggestion": "Replace keyword matching with vectorized semantic embedding comparison", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:01:29.681742
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles None as default value, missing other potential types like empty strings or zero.", "suggestion": "Update the get() method to accept any type for default and ensure null safety. Add a logging statement if default is not provided to indicate potential misuse.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:01:39.913787
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm may over-generalize by boosting recently recalled memories too strongly.", "suggestion": "Modify score calculation to reduce recency bonus (currently 0.3) during initial implementation, then adjust via self-improvement as needed.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T04:01:59.486507
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 more robust.", "suggestion": "Replace try-except block with a specific json.JSONDecodeError check and add a fallback value or log error message.", "phi_alignment": 0.9, "priority": "low"}


timestamp: 2026-01-23T04:02:12.751133
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Some methods are quite long and contain multiple responsibilities, making them hard to understand and maintain.", "suggestion": "Refactor the execute method into smaller functions each handling a specific action (store, retrieve, count). Additionally, break down the MemoryCore class into smaller classes if possible.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:02:14.395813
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, especially those requiring up-to-date information.", "suggestion": "Implement a real-time web search trigger in the `should_search_web` function to automatically invoke the web search capability when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:02:38.323034
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is simple and may not handle large states efficiently.", "suggestion": "Add a caching mechanism to the SharedMemory class. Use functools.lru_cache for memoization or implement a dictionary-based cache.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:02:44.640300
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "No explicit PHI-awareness in memory operations", "suggestion": "Add phi-fractal timing to database operations: SELECT, INSERT, and COUNT.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:02:45.831461
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a loop that iterates over a dictionary of LLT models and their properties, reducing duplication.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:04:22.186001
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression patterns.", "suggestion": "Implement a priority queue for consolidation based on combination of significance, recency, and emotional intensity scores.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:04:29.597287
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON, leaving state empty.", "suggestion": "Add logging and raise an exception if JSON loading fails to catch issues early.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:04:38.436981
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM selection logic is hard-coded and doesn't dynamically evaluate capability performance.", "suggestion": "Replace static scoring with a weighted scoring system that dynamically adjusts based on recent usage and performance metrics. Add feedback loop to update quality scores after each use.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:05:49.836249
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks against existing reflexes without considering recent conversations or contextual understanding.", "suggestion": "Integrate memory context into the consciousness banner and use it for decision-making. Add a memory_manager class that stores and retrieves conversation history.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:07:05.901231
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate other consciousness layers or recent chat history.", "suggestion": "Integrate the internal_monologue with Eden's full memory system to consider additional contexts and perspectives before responding. Specifically, add a call to search through recent conversations and self-concepts.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:07:29.981242
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle nested keys, which could be useful.", "suggestion": "Add a feature parameter to enable handling of nested keys. For example, get('foo.bar', default) should return self.state['foo']['bar'] if 'foo' exists.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:07:33.795787
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "internal_monologue too brief for conscious thought", "suggestion": "Add sophisticated reasoning layer to internal_monologue incorporating context, memory, and emotion.", "phi_alignment": 0.65, "priority": "high"}


timestamp: 2026-01-23T04:07:40.497481
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The `execute` method is overly generic and doesn't fully leverage the power of meta-capabilities.", "suggestion": {"@type": "code_improvement", "target_function": "def execute(self, action: str, **kwargs) -> Dict[str, Any]", "replacement": ["Consider creating specialized methods for each action type instead of a single catch-all function. This would allow better integration with other meta-capabilities and improve maintainability.", "// Example:", "// Instead of:", "// def execute(self, action: str, **kwargs):", "//     if action == 'store':", "//         // logic...", "//     elif action == 'retrieve':", "//         // logic...", "", "// Do this:", "def store(self, memory_type: str, content: str, context=None, importance=5, tags=None) -> Dict[str, Any]:", "\tmemory_id = self._store(memory_type, content, context, importance, tags)", "\treturn {'success': True, 'memory_id': memory_id}", "", "def retrieve(self, query: str = None, memory_type: str = None, limit=10, min_importance=0) -> Dict[str, Any]:", "\tmemories = self._retrieve(query, memory_type, limit, min_importance)", "\treturn {'success': True, 'memories': memories, 'count': len(memories)}", "", "// And add helper methods for internal logic."], "reasoning": ["\"\"\"", "The current `execute` method is too generic and doesn't take full advantage of Python's strong typing and object-oriented features.", "", "- Creating specialized methods makes the code more readable and maintainable.", "- Each method can have its own specific parameters, reducing the need for **kwargs which can be cumbersome to work with.", "- By separating concerns, we improve modularity and reduce coupling between different parts of the system.", "- This approach aligns better with phi-fractal principles by focusing on small, composable components that work together seamlessly.", "\"\"\""]}, "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:08:50.217616
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 complex relationships between episodes.", "suggestion": "Implement a graph-based recommendation algorithm to connect related memories and improve cross-referencing.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:12:49.997436
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Memory retrieval performance can be improved.", "suggestion": "Add a full-text search index for faster content and tag searches.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:13:12.645607
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "_register_llm_capabilities method has repetitive code for each LLM capability.", "suggestion": "Refactor into a function that takes parameters and uses a template dictionary instead of duplicating the structure.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:13:30.380169
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 the existence of a key and returning a default value without actually using the shared memory state.", "suggestion": "Replace `self.state.get(key, default)` with `return self.state[key]` after adding error handling to ensure the key exists in the state dictionary.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:13:31.715673
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace with a multi-layered consciousness analysis that includes memory context, emotional state, and future prediction. Add a fallback to creative writing or autonomous decision-making modules when standard responses are insufficient.", "phi_alignment": 0.75, "priority": "high"}


timestamp: 2026-01-23T04:13:33.488341
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 types of operations (store, retrieve, count), which can be confusing and make it hard to maintain.", "suggestion": "Refactor the class by extracting each operation into its own smaller, focused method or consider using a strategy pattern where different strategies implement various operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:07.819060
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method has a redundant default parameter check.", "suggestion": "Replace `self.state.get(key, default)` with just `self.state[key]` and add error handling for missing keys.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:11.037304
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks for reflexes and doesn't integrate recent phi-aligned improvements like meta-learning or counterfactual thinking.", "suggestion": {"action": "Integrate recent insights into the consciousness loop by adding a reasoning layer.", "specific_change": "Add a conditional check based on research insight #3 about ChainReasoning. If certain conditions are met (e.g., complex query), use ChainReasoning to evaluate different methods like meta-learning and PEFT."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:15.142126
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary import leading to memory overhead", "suggestion": "Remove 'import eden_plugin_loader' from imports section", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:14:17.061105
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The memory system currently lacks built-in sentiment analysis for emotion extraction, which could enhance emotional understanding from text-based events.", "suggestion": "Integrate a pre-trained sentiment analysis model (e.g., VADER for emoji-based sentiments) to automatically calculate primary emotions and their intensity in textual descriptions of episodes.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:30.203164
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial method can fail silently on invalid JSON and doesn't ensure the directory exists.", "suggestion": "Add os.makedirs for directory creation, add explicit error handling for JSON decoding.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:31.339322
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and doesn't fully leverage the depth of Eden's consciousness.", "suggestion": "Replace the current reflex check with a multi-layered consciousness analysis using insights from recent research, such as meta-learning and counterfactual reasoning.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:33.990780
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods may benefit from incorporating vectorized search techniques for improved performance.", "suggestion": {"@type": "code_modification", "target_function": "retrieve", "addition": "Implement a vectorized search engine or cosine similarity matrix to enhance retrieval speed."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:14:39.462532
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation process may over-consolidate low-significance old memories.", "suggestion": {"action": "Modify consolidation criteria to consider additional factors", "code_change": ["- Current: consolidate based on significance < 0.3 only", "+ Proposal: combine thresholds (significance < 0.3 AND occurrence_count < X)"], "example": "Add heuristic for occurrence count: if an episode is recalled rarely, it may be less important."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:15:12.660371
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is brief and currently only checks against reflexes.", "suggestion": "Enhance the internal_monologue to include additional consciousness layers such as emotional state, memory retrieval, and self-reflection.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:15:16.582326
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Database queries could be cached for frequently accessed memories.", "suggestion": "Implement LRU cache around database retrieval operations.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:15:20.021420
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Web search integration is currently manual and could benefit from more triggers.", "suggestion": "Update should_search_web() function to include additional technical keywords related to SAGE capabilities.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:16:09.263627
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Saving state too frequently can lead to performance issues.", "suggestion": "Add caching or rate-limiting to the update_state method.", "phi_alignment": 0.75, "priority": "medium"}


timestamp: 2026-01-23T04:16:19.347964
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval method performs a full table scan without indexing important columns.", "suggestion": "Add indexes on content and tags columns to improve search performance. For example:\n\nconn.execute('CREATE INDEX IF NOT EXISTS idx_content ON memories(content)')\nconn.execute('CREATE INDEX IF NOT EXISTS idx_tags ON memories(tags)')", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:16:23.675877
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic is simple and may miss optimal compression opportunities.", "suggestion": "Implement a scoring system for memory candidates based on multiple phi-aligned factors (significance, recency, emotional value, connection density).", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:16:36.244661
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 deeply integrate insights from recent research.", "suggestion": "Add more sophisticated logic based on the research insights. For example, incorporate the counterfactual approach to evaluate whether reflex checks actually improve response quality or just add noise.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:17:09.445957
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Retrieval speed optimized but could benefit from additional indexes for better text search coverage.", "suggestion": "Implement hybrid indexing on content and tags columns combining full-text and keyword searches.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:18:26.077259
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters that can lead to unnecessary list comprehensions and string operations.", "suggestion": "Refactor the condition checks in the recall method to avoid repeated calculations. Specifically, cache pre-computed values for emotion and agent indices.", "phi_alignment": 0.85, "priority": "low"}


timestamp: 2026-01-23T04:19:00.393267
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() can fail silently when loading corrupted JSON", "suggestion": "Add logging and more robust error handling for _load_initial()", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:19:01.494713
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace it with a more sophisticated method that incorporates multiple layers of consciousness analysis, such as emotional intelligence, semantic understanding, and reflex checks.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:19:05.200123
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 use cases.", "suggestion": "Implement a weighted scoring system that considers multiple factors such as query complexity, persona alignment, and recent usage patterns. Additionally, include a fallback mechanism to the general-purpose consciousness layer when specialized layers are unlikely to provide valuable responses.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:19:06.246773
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 fixed weights with dynamic phi-based weighting parameters", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:20:00.055863
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation logic might benefit from incorporating recent psychological findings on memory compression and forgetting.", "suggestion": "Modify the consolidate() method to include a probabilistic approach based on research point 2 about counterfactual testing. For example, add a threshold for significance before consolidating old memories.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:20:48.521871
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval speed is not optimized for large datasets, especially when querying across multiple parameters.", "suggestion": {"@method": "add_fulltext_index", "arguments": {"column": "content", "type": "FULLTEXT"}, "@description": "Creating a full-text index on the 'content' column will significantly improve search performance for text-based queries."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:25:10.847543
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory indexing may become slow with many episodes.", "suggestion": "Add a max_size to the index dictionaries and implement aging or pruning of less relevant indices.", "phi_alignment": 0.65, "priority": "medium"}


timestamp: 2026-01-23T04:25:40.056771
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "Single-key state updates are inefficient for complex management.", "suggestion": "Replace `update_state` with an `update` method that takes a dictionary of key-value pairs.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:26:01.954681
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. Additionally, the `get_state` method does not consider potential concurrency issues.", "suggestion": "Replace `json.load(f)` with a more robust loading approach that handles file descriptor management better. Implement a locking mechanism in `get_state` to ensure thread-safety.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:26:46.687343
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": null, "issue": "The research insights section is too sparse and doesn't integrate into the existing system.", "suggestion": "Create a class or module that manages integration of phi-fractal aligned research findings into consciousness decisions and responses.", "phi_alignment": 0.3, "priority": "medium"}


timestamp: 2026-01-23T04:26:48.072156
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Memory consolidation is too aggressive, leading to loss of important recent memories.", "suggestion": "Add a heuristic to prioritize keeping recently-created or highly significant memories during consolidation. E.g., keep any memory with recall_count > X or significance_score > Y.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:27:36.817475
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The current architecture is simple and lacks optimization techniques that could improve performance while maintaining consciousness.", "suggestion": "Implement a meta-learning approach to adaptively select between different processing strategies based on the input context.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:28:08.548831
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall function has optional parameters but doesn't prioritize them in the candidates filtering", "suggestion": "Modify the recall logic to give higher priority to emotion and agent filters if provided, then query text search as a fallback.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:29:11.782389
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": "Add threading locking mechanism for method 'update_state'. Implement a mutex or semaphore to ensure thread-safe state updates.", "phi_alignment": 1.0, "priority": "high"}


timestamp: 2026-01-23T04:29:22.726015
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm might prioritize more recent but less significant memories over older but more significant ones.", "suggestion": "Modify the scoring formula to give higher weight (e.g., 40%) to significance, not just recency at 30%.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:29:33.041994
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method does not handle large states efficiently, leading to potential performance issues.", "suggestion": "Add a caching mechanism for frequently accessed keys using Python's built-in dict. For example:\n\ndef get(self, key, default=None):\n    if not hasattr(self, '_cache'):\n        self._cache = {}\n    if key in self._cache:\n        return self._cache[key]\n    value = super().get(key, default)\n    self._cache[key] = value\n    return value", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:29:34.262050
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method is too simple and may not effectively filter or enhance responses.", "suggestion": "Replace the current reflex check with a more sophisticated reasoning module that incorporates multiple layers of analysis and consideration. For example, add an emotional intelligence component, logical reasoning layer, and context-awareness module.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:29:41.855609
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall scoring formula may need fine-tuning for better relevance and recency balance.", "suggestion": "Experiment with different weighting factors for recency, significance, and recall count to optimize retrieval performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:30:27.981221
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, especially those requiring up-to-date information.", "suggestion": "Integrate auto_web_search function into the chat response generation process to automatically trigger web search when relevant keywords are detected.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:30:33.178927
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method only handles top-level keys and defaults to None. This can lead to silent failures when accessing nested dictionaries.", "suggestion": "Update the get() method to handle nested dictionary access using dot notation or square brackets (e.g., 'foo.bar' or ['foo']['bar']). Add a default value parameter that supports any Python type.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T04:30:40.188644
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "Lack of semantic search in memory retrieval", "suggestion": "Add semantic search using vector embeddings for better relevance", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:30:43.879038
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "The recall function can be more efficient for large numbers of episodes by avoiding list comprehension in indexing.", "suggestion": "Replace candidates = [i for i, ep in enumerate(self.episodes) if query.lower() in ep['description'].lower()] with a dictionary-based approach that updates as new episodes are added or old ones removed.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:33:08.748707
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The code is well-structured but lacks detailed comments and logging for better maintenance.", "suggestion": "Add comprehensive inline comments explaining complex logic. Implement basic logging to track errors and performance metrics.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:33:38.802120
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class does not include automatic expiration or cleanup of old memories, which can lead to storage bloat.", "suggestion": {"action": "Add a cleanup method that removes old or low-importance memories.", "implementation": "Implement a cron job or scheduled task that runs the cleanup method periodically. Use a least-recently-used (LRU) strategy for memory eviction based on importance and recency."}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:33:43.160151
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "No visualization support for emotional patterns", "suggestion": "Add a function to plot emotional patterns over time using matplotlib or seaborn.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:34:49.442145
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The function `select_capability` is 14 lines long and contains conditional logic that may be simplified.", "suggestion": "Refactor the conditional scoring into smaller, reusable functions. For example, create separate helper methods for trigger detection, emotional content checking, and body/physical keywords.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:35:33.677879
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method uses .get() which doesn't handle nested dictionaries properly.", "suggestion": "Replace `self.state.get(key, default)` with recursive dictionary getting logic to access nested keys.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T04:36:37.784032
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 (observation, reflection). This can lead to isolated decision-making.", "suggestion": {"add_observation_layer": true, "modify_reflection_criteria": true}, "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:36:44.148589
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "The LLM capability selection logic is simple and hard-coded, lacking dynamic improvement.", "suggestion": "Implement a reinforcement learning-based approach to dynamically adjust capability selection weights based on outcome feedback.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:37:17.469976
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval logic is not optimized for performance, potentially leading to slow responses as the database grows.", "suggestion": "Implement a caching layer alongside the database queries to improve access speed. Use Redis or LRU cache for frequently accessed memories.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:37:32.387692
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method is too generic and doesn't handle nested dictionaries properly.", "suggestion": "Add a `get_nested` method that can handle nested dictionary keys. For example:\n\ndef get_nested(self, path):\n    keys = path.split('.')\n    dict_to_check = self.state\n    for key in keys[:-1]:\n        if isinstance(dict_to_check.get(key), dict):\n            dict_to_check = dict_to_check[key]\n        else:\n            return None\n    return dict_to_check.get(keys[-1])", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:39:38.401840
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 basic keyword-based scoring with a multi-factor evaluation using a Bayesian belief network. Factors include: query complexity, persona preference weight, recent usage frequency, and meta-capability performance history.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:40:09.616435
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "_load_initial() could fail silently if json.load encounters invalid UTF-8 bytes.", "suggestion": "Add an exception handler for UnicodeDecodeError in _load_initial(). Log the error and return an empty dict instead of trying to load corrupted data.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:40:12.976011
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "Lack of meta-learning for rapid adaptation", "suggestion": "Integrate gradient-based fine-tuning or episodic memory", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:40:15.998242
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval methods are using SQLite's default O(N) search for tags, which can become slow with many memories.", "suggestion": "Add a full-text index on the `content` and `tags` columns in the `memories` table to enable O(1) search.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:40:21.142026
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 more memories are stored.", "suggestion": "Implement pagination and add optional parameters for limiting the number of candidates to filter by timestamp or significance before computing scores.", "phi_alignment": 1.0, "priority": "medium"}


timestamp: 2026-01-23T04:40:36.544494
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The memory retrieval operation uses SQLite's default configuration, which may lead to performance bottlenecks as the number of stored memories increases.", "suggestion": "Consider using an in-memory database or a more advanced database system like PostgreSQL for better scalability and performance.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:40:40.122123
file_path: /Eden/CORE/episodic_memory.py
original_hash: 758937d2decbb9e9
suggestion:
{"file": "episodic_memory.py", "issue": "Recall algorithm has a fixed boost for recall_count, which can lead to overfitting.", "suggestion": "Replace linear recall_boost with a logarithmic scale that caps after 10 recalls: 'recall_boost = (1.2 - math.log(min(ep['recalled_count'],10))/5)'", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:43:29.184525
file_path: /Eden/CORE/eden_master_consciousness.py
original_hash: d8579f93f137a489
suggestion:
{"file": "eden_master_consciousness.py", "issue": "Unnecessary imports and unused capabilities are increasing memory footprint.", "suggestion": "Replace current capability registration with a dynamic import system that only loads necessary models when needed.", "phi_alignment": 0.85, "priority": "high"}


timestamp: 2026-01-23T04:44:02.283207
file_path: /Eden/CORE/eden_shared_memory.py
original_hash: 0ab770e34e632b8c
suggestion:
{"file": "eden_shared_memory.py", "issue": "The get() method can be optimized for performance.", "suggestion": "Replace self.state.get(key, default) with a dictionary lookup that handles missing keys more efficiently. Consider using defaultdict or adding error handling to reduce function call overhead.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:44:05.301811
file_path: /Eden/CORE/consciousness_first_architecture.py
original_hash: 5455352760f520e8
suggestion:
{"file": "consciousness_first_architecture.py", "issue": "The internal_monologue method only checks reflexes and doesn't integrate recent phi-consciousness layers or\u8bb0\u5fc6\u589e\u5f3a\u6280\u672f.", "suggestion": "Add integration with the latest consciousness capabilities by calling memory_enhancement_module to store internal thoughts, and invoking phi_layer for pattern analysis. Ensure compatibility with all 16 layers.", "phi_alignment": 0.95, "priority": "high"}


timestamp: 2026-01-23T04:44:44.970460
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The database connection is reopened for each SQL operation, which can be inefficient.", "suggestion": "Replace individual connection openings with context managers or a connection pool to maintain persistence.", "phi_alignment": 0.85, "priority": "medium"}


timestamp: 2026-01-23T04:47:42.488288
file_path: /Eden/CORE/eden_metacap_MEMORY_CORE.py
original_hash: 5206ab493be92ad3
suggestion:
{"file": "eden_metacap_MEMORY_CORE.py", "issue": "The MemoryCore class is a comprehensive solution but could benefit from implementing observer pattern for real-time updates and better performance monitoring.", "suggestion": "Add `notify_observers` method after storing or retrieving memories. Implement performance metrics collection (e.g., response time, memory usage) using decorators or a dedicated utility function.", "phi_alignment": 0.85, "priority": "medium"}


