{"slug":"remete618/widemem-ai","name":"widemem.ai","description":"Open-source AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization","category":"development","tags":[],"official":false,"stars":45,"transport":null,"install":[{"cmd":"pip install widemem-ai[faiss]","imports":[]}],"tools":[{"name":"batch_conflict_resolution","description":"Single LLM call for all facts vs. existing memories, reducing N facts to 1 API call."},{"name":"importance_and_decay","description":"Facts rated 1-10 with exponential/linear/step decay, ensuring old trivia fades while critical facts persist."},{"name":"hierarchical_memory","description":"Facts roll up into summaries and themes, auto-routed for broad or specific queries."},{"name":"active_retrieval","description":"Contradiction detection plus clarifying questions to resolve conflicting memories."},{"name":"ymyl_prioritization","description":"Health, legal, and financial facts receive higher importance floors, immunity from decay, and forced contradiction detection."},{"name":"confidence_and_abstention","description":"Returns confidence level (HIGH/MODERATE/LOW/NONE) for every retrieval, allowing agents to abstain instead of guessing."},{"name":"retrieval_modes","description":"Three modes (strict, helpful, creative) for handling low-confidence memory misses, enabling appropriate agent behavior."}],"env_vars":["QDRANT_URL"],"auth_type":"none","github":"https://github.com/remete618/widemem-ai","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Thu May 28"}