Neotoma
Agents cannot own work they cannot verify.
You cannot delegate real work to agents you cannot hold to account. Accountability has two halves: what was true, and who was authorized. Neotoma is the system of record for AI agents — it answers what was true. Your agents can produce a value; they cannot tell you its version, its source, or whether it is still current. Neotoma versions every fact, attributes it to a source, and replays it.
What ships today is the foundation: a deterministic, versioned state layer that ingests sources into immutable observations and computes reproducible entity snapshots with full provenance, exposed over an MCP server, a REST API, a CLI, and a bundled web Inspector. See Vision and execution status for exactly where the implementation stands against the vision.
It is built for developers building and operating AI agents who need a persistent, deterministic, auditable memory layer shared across tools. The same engine serves two further groups: individuals running a personal cross-assistant memory on a single-user install, and operators running a shared, multi-user instance with agent access control. Agents store structured records (contacts, tasks, transactions, decisions, events, and any other type) once and read them back across every tool and session, and the same observations always reduce to the same state.
