Shomei makes AI memory accountable by keeping recall tied to source, checking permissions when memory is served, and recording lifecycle events as narrow receipts. The point is not to ask anyone to trust the operator. It is to leave evidence that can be checked later.
The implementation details belong in technical docs and customer review. The public model is simpler: each memory should be traceable, governable, and receipted.
When an agent recalls a fact, your team can ask where it came from. Shomei is designed so memory is not just a floating summary with no provenance.
A restriction or deletion is only meaningful if it changes what the AI can use. Shomei treats governance as part of serving memory, not as a separate audit trail.
Access, restriction, hold, export, and erasure produce receipts that describe what happened and what was covered, without exposing the underlying content.
Shomei receipts are evidence about memory operations. They do not certify that the original conversation was true, that an external system deleted its copy, or that a model can never mention a subject again.
Agents retrieve governed memory instead of unmanaged context.
Current policy decides whether memory can be used.
Access, restrict, hold, export, or erase within the governed boundary.
A narrow receipt records the operation and its verification boundary.
Read the proof model in more depth, or see how Shomei fits into a governed-memory deployment.
Governed, provable AI memory. Deletion that stays deleted, across your AI, with proof.