OPEN-DAG

Private early access

OPEN-DAG

Git-like execution memory for long-horizon LLM agents. Branch, fail, and roll back like version control — so your agent never acts on abandoned or reverted state. Retrieval finds what is relevant; OPEN-DAG decides what is still valid.

Request Early AccessHow it helps

01 / How it helps

Memory that knows what is still true.

Long-horizon and multi-agent runs modify, fail, and undo work constantly. OPEN-DAG gives that history structure — and keeps your agent from tripping over its own abandoned steps.

Validity

Never act on stale state

Agents fail, roll back, and retry — and a relevance-only memory feeds abandoned or reverted results straight back into the prompt. OPEN-DAG adds a validity layer that keeps state that no longer holds out of the agent's context.

Recovery

Roll back in an instant

A failed step is a pointer reset, like a Git HEAD move — not a re-run of the model or a rewrite of the transcript. Recover, branch, and retry without paying to regenerate history.

Memory

Context that stays small

Execution history grows on disk, not in your prompt. The model-visible window stays bounded as the run gets longer, so cost and latency don't balloon with depth.

02 / FAQ

What it is, who it is for, and how to get in.

What is OPEN-DAG?
Memory for long-horizon LLM agents. Your agent's history branches, fails, and rolls back — OPEN-DAG tracks it like version control and keeps abandoned or reverted state out of the agent's context, so it never acts on results that no longer hold.
Who is it for?
Teams building long-horizon or multi-agent systems that modify, fail, roll back, and retry — coding agents that abandon patches, SRE agents that revert mitigations, data agents that invalidate results, and anyone who needs their agent to never act on stale execution state.
How is it different from a vector store or a transcript?
Relevance retrieval finds what looks related; it cannot tell you whether that state is still valid after a rollback. OPEN-DAG adds an execution-validity layer on top of retrieval, plus instant rollback and a context window that stays bounded as runs get longer.
How do I get access?
OPEN-DAG is in private early access. Request access below and tell us what you are building — we are onboarding teams running real long-horizon and multi-agent workloads first.