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Clio builds memory by mapping how concepts connect — not just that they do. Each link is typed: drives, part_of, enables, measures, analogy. When a query arrives, retrieval follows causal chains through the structure rather than guessing from similar text. The result is a local knowledge graph extracted once from your files, reused across every future query, at a fraction of the token cost - and optimised for problem solving by reasoning through the structure of the issue, not around it.
ClioMemory that knows why things connect.
Alessandroleft a comment
Hey Product Hunt 👋 I built Clio because I kept running into the same wall: the more material I fed my AI assistant, the worse it got at reasoning through it. RAG finds text that looks like your question. That's not the same as understanding what's connected and why. Clio takes a different approach. Instead of storing chunks, it builds a typed graph -concepts linked by drives, part_of, enables,...
ClioMemory that knows why things connect.