Adaptive Recall
JSON →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.
Tools · 8
- store Save a new memory. Generates embeddings and extracts entities automatically.
- recall Search memories using multi-strategy retrieval with cognitive scoring.
- update Modify an existing memory. Re-embeds automatically if content changes.
- forget Remove a memory by ID or by finding the closest match to a query.
- graph Explore the knowledge graph, traversing entity relationships by name and depth.
- status System health, memory counts, confidence distribution, and knowledge gap detection.
- snapshot Get a formatted overview of stored memories, organized by type.
- feedback Send feedback directly to the Adaptive Recall developers.
Environment variables
YOUR_SERVER_URLYOUR_API_KEY
Links
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