Proposal 2 of 3
A memory asking permission
The reading-chair footprint should stay under 34 inches wide.
Approve permits bounded recall. Reject keeps a review record. Expire blocks future use. Forget removes content and redacts its influence trail.
A human control layer for useful AI memory
This example uses Unichat to turn inferred memory into a reviewable proposal. You decide the wording, purpose, exact scope, and expiry—then every future influence leaves a receipt.
Interactive browser sample
Make a decision, reload the page, and the sample stays here. Choose the approved record to test expiry or forgetting; choose a pending proposal to approve or reject.
Proposal 2 of 3
The reading-chair footprint should stay under 34 inches wide.
Approve permits bounded recall. Reject keeps a review record. Expire blocks future use. Forget removes content and redacts its influence trail.
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The stewardship loop
The sample separates inference from permission. A useful detail can be proposed without becoming recallable, and every later decision is explicit and reversible.
Content, source, purpose, scope, and expiry arrive together for human review.
Approve, revise, narrow, reject, or set a limit before recall becomes possible.
A receipt identifies the approved memory used for a matching request.
Content disappears while a safe tombstone blocks accidental resurrection.
Released August 19, 2026
Memory Steward uses Unichat to make AI memory reviewable before it is useful: a concrete human surface for permission, bounded recall, transparent influence, and honest removal.