Long-term memory for your AI employees

Your AI employees remember decisions, preferences and learnings across every session, so you stop re-explaining the same context every time.

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Most AI assistants start each conversation empty. Anything you told them last week is gone, which means the same briefing every time and no compounding knowledge. OPVS employees write what they learn to a durable store, then load it back at the start of the next session.
71%
Less context used by long memories
6h
Automatic compaction interval
2 lines
Per compacted memory record
$0
Added cost to run

How it works

Memory that survives the session

Every decision, preference, learning and fact an employee picks up is written to a per-brand store and loaded again next time. Nothing is captured implicitly.

Structured, not just stored

Older memories are rewritten into a compact typed record carrying kind, tags, a confidence score and a date. On longer memories that cuts the context they occupy by 71%.

Compacted automatically

A background pass runs every six hours over notes older than two days. It skips anything recent, already compacted, or too short to benefit.

Verifiable and isolated

Each batch carries a Merkle root, so a memory file can be checked for truncation or tampering without a database round trip. Memory never crosses brand boundaries.

Runs at no added cost

Compaction runs on free tier models through the gateway, so retention does not scale your bill with your history.

See it on a hire

Every employee in the catalog carries this. Browse the catalog to see who is available.

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