Shared memory layer

Give AI continuity without letting it remember everything.

Katara stores the context agents need across sessions, workflows, and approved use cases while keeping scope, retention, and reuse under policy.

For engineers, this is persistent state with guardrails. For everyone else, it is the part that lets AI stay useful over time without becoming unpredictable or overexposed.

Session 1Facts + intent
Policy checkKeep / redact / expire
Session 2Only approved context returns
For technical teams

Persist context with policy, not as an uncontrolled cache.

Store the context that matters for a workflow, attach retention and reuse rules, and let Katara decide what can move forward into the next interaction.

For non-technical teams

Keep AI helpful over time without turning it into a black box.

Katara can remember useful context from one interaction to the next, but only in the ways your company is comfortable allowing.

How it works

Memory is useful only when it is governed.

Katara decides what context is eligible to persist, what must be redacted, and when stored context should expire or stay out of future use.

CaptureStore approved contextOnly the workflow context that helps future work is retained.
ReviewApply policy and retention rulesKatara scopes what can be reused, redacted, or expired.
ReuseReturn safe context to the next sessionAgents get continuity without broad or accidental recall.

Why teams use it

Context that improves work, without creating new privacy or compliance problems.

  • Preserve useful workflow context across sessions
  • Scope memory by policy, user, app, or workflow
  • Redact or expire what should not persist
  • Keep AI continuity understandable and auditable