Biological memory for AI
Give your agents persistent context that naturally learns, associates, and forgets.
Conch is an embedded memory engine that learns, associates, and forgets over time. No cloud. No API keys. Just a single, highly intelligent SQLite file.
Scale intelligence infinitely.
Context scalability
Provide your agents with years of history without polluting the prompt. Token utilization stays perfectly efficient, no matter how much your agent learns.
Semantic precision
Locate exact meaning across all stored memories instantly. Completely resilient to variations in human phrasing or formatting.
Dynamic relevance tracking
Give your memory a sense of temporal weight. Critical user preferences endure indefinitely, while obsolete logs and episodes organically fade away.
Knowledge consolidation
Stop generating duplicated messes. Conch automatically reinforces frequently accessed memories while avoiding endless duplication.
It learns what matters. And forgets what doesn't.
Just like a human brain, Conch strengthens memories dynamically as they are used. Irrelevant episodes fade quickly, essential facts endure, and useless noise is garbage-collected forever.
Recalled 3 days ago — reinforced
Recalled 40 days ago — fading slowly
Obsolete episode — pruned permanently
Retrieve meaning. Not just keywords.
Powered by a hybrid BM25 and vector recall engine, fused via Reciprocal Rank Fusion. Your agent immediately finds the exact intent behind a query, completely resilient to phrasing differences.
Spreading activation mapping.
Memories don't exist in a vacuum. Retrieving one memory naturally surfaces deeply adjacent knowledge through shared subjects and objects. You are building an intelligent graph of associations.
Just ask OpenClaw to use it. That's it.
Conch operates as a native agent skill. Give OpenClaw the skill URL and define your Mandatory Storage Triggers in AGENTS.md, and your agent will deterministically learn your project context.