{"slug":"aiappsapi/adaptive-recall","name":"Adaptive Recall","description":"Adaptive MCP memory system for AI applications. Learns which retrieval strategies work for your data, scores results using cognitive science models, builds a knowledge graph automatically, and validates every parameter change against real query history before adopting it. Patent pending.","category":"memory","tags":[],"official":false,"stars":1,"transport":"http","install":null,"tools":[{"name":"store","description":"Save a new memory. Generates embeddings and extracts entities automatically."},{"name":"recall","description":"Search memories using multi-strategy retrieval with cognitive scoring."},{"name":"update","description":"Modify an existing memory. Re-embeds automatically if content changes."},{"name":"forget","description":"Remove a memory by ID or by finding the closest match to a query."},{"name":"graph","description":"Explore the knowledge graph, traversing entity relationships by name and depth."},{"name":"status","description":"System health, memory counts, confidence distribution, and knowledge gap detection."},{"name":"snapshot","description":"Get a formatted overview of stored memories, organized by type."},{"name":"feedback","description":"Send feedback directly to the Adaptive Recall developers."}],"env_vars":["YOUR_SERVER_URL","YOUR_API_KEY"],"auth_type":"none","github":"https://github.com/AIAppsAPI/adaptive-recall","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Thu May 28"}