Your agents are only as good as what they know. Attest sits between your data and your agents — turning scattered enterprise knowledge into claims they can cite, update, and retract.
Every answer cites a source. No opaque retrieval, no stitched-together passages — a structured claim an agent (or a human) can check.
See it on a biomedical corpus →Contradictions surface instead of disappearing into last-write-wins. When two sources disagree, Attest keeps both and flags the conflict.
See a customer-success example →Retractions cascade. When a claim is withdrawn, downstream answers relying on it get flagged — not silently served stale.
See the AI trust walkthrough →Skills and MCP tools put guardrails around what agents can do and know. The same claim graph that feeds them also governs them.
See the Attest Brain →Mem0 and Zep are good for chatbot memory. Letta adds stateful agent scaffolding. Vector DBs index documents. Attest is built for enterprise truth — claims with provenance, contradictions, and retraction — so agents acting on real work don’t drift. See the full capability comparison →