Governed memory for AI agents.
Versioned, time-bound, access-controlled memory — so agents act only on what's true.
Time-aware by default
Stale facts expire or get superseded — never acted on.
Deny-by-default access
The same query answers differently per agent identity.
Hash-chained audit
Replay exactly what any agent saw, at any moment.
Recall is solved. Consistency isn't.
Vector search and agent-memory tools help an agent remember more. Context Vault makes that memory true, governed and provable. Open each gap that keeps agents out of production today:
Vector DB / RAGVector search retrieves by similarity — and happily acts on facts that died months ago.
Context VaultBitemporal storage: stale facts expire or get superseded, so they're never silently acted on.
Vector DB / RAGNo access model — memory can surface what an agent should never have been allowed to see.
Context VaultDeny-by-default, per-claim access control, enforced every time a fact is resolved.
Vector DB / RAGA newer write clobbers the old value, and the contradiction disappears without a trace.
Context VaultA six-way taxonomy classifies every write — contradiction, supersession, refinement and more.
Vector DB / RAGNo record of what the model saw before it acted — nothing to hand an auditor.
Context VaultA hash-chained log reconstructs any past belief state, with a cryptographic receipt.
Agents act only on current, authorized facts — so legal and risk can sign off.
Provider-neutral memory survives a move across Claude, GPT, Gemini or Llama.
Reconstruct exactly what an agent knew, and when — with a cryptographic receipt.
When a new fact arrives, the Vault decides what it means.
A six-way taxonomy classifies every write — so memory never silently corrupts. Pick a relation.
Paramind AI builds governed memory for enterprise agents.
Context Vault is our flagship product — the layer that makes an agent's knowledge versioned, time-bound, access-controlled and auditable, so autonomous systems can run on data teams couldn't risk before.
The layer everyone ships beneath their agents.
Bring an agent and a dataset — leave with an audit trail you can prove.