Engram Protocol by Epistemic Labs
Git for your agent's beliefs.
The typed-state memory layer for long-lived AI agents — memory you can inspect, attribute, and correct.
An agent with Engram isn't smarter — it's reliable.
The problem
Your agent forgets — and can't tell you what it knows.
Models reset between sessions and stay a black box about their own beliefs: you can't see where a belief came from, whether it still holds, or delete a wrong one.
While the agent is a toy, “it forgot” is annoying. Once it acts on stale or wrong knowledge, it gets expensive.
What it is
Typed memory with provenance.
Every belief is a typed engram — a claim, a decision, a status — with a source, a lifecycle, and a scope. New facts supersede old ones instead of piling up.
It's the layer under the team-AI stack: shared state, not shared storage. Git for agent beliefs, not Dropbox for agent content.
Attributable
Every claim carries its source and scope. No anonymous knowledge.
Correctable
Supersede a wrong belief. The old one stays as history, not truth.
Typed
Decisions, statuses, tasks, rules — structured, not a flat blob.
The epistemic loop
Beliefs that keep themselves honest.
A self-closing loop nobody else ships. Not “where did this come from” — but “was it right, and is it still true?”
Who it's for
Built for agents you depend on.
Long-lived, acting agents where a wrong belief has real cost — solo power-users and teams alike.
As models get more capable and autonomous, ungrounded memory gets more costly, not less. Engram fills the gap every bigger model makes more important.
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