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PROVENANCE

Answers you can prove

For agents that touch real decisions, 'the model said so' isn't enough. Agent Memory stores provenance as data on every fact, keeps a queryable trace of how each memory formed, and returns the exact sources behind every answer - so recall you can trust means recall you can defend.

01 |PROVABLE ANSWERS

Every answer points back to its source

Provenance isn't a bolt-on log. It's a stored field on every row and a queryable trace graph, so any answer can be walked back to the exact messages and records it came from - by the agent, or by an auditor - without a separate logging pipeline to reconcile.

Built to be defended

Provenance, audit, and access control are properties of the store itself - not application code you have to remember to write.

02 |ONE SUBSTRATE

Trust is a storage property, not a promise

Middleware bolts provenance on with external logging and hopes the two stay in sync. Agent Memory makes provenance part of every write, in the same ACID transaction as the fact - so the trail can never drift from the data.

In the same transaction

A fact and its provenance commit together, so there's no window where one exists without the other.

Queryable, not archived

The trace is live graph data you can ask questions of, not a log you grep after the fact.

Audit without extra infrastructure

The audit trail is the store itself, so there's no separate logging pipeline to run, secure, and reconcile.

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Give your agents answers you can defend

Provable recall, durable memory, and a queryable audit trail - one system you buy, secure, and audit once. Built on SurrealDB.

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The unified data layer for AI

Graph, vector, document, and relational in one engine.
Agent Memory that connects and retrieves context wherever your data lives.

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