DOS — the trust substrate for agent fleets

DOS — the Dispatch Operating System

Catch your AI agents when they lie about what they shipped.

📊 See it run on real repos: the scoreboard scores 15 popular AI-built repos (roborev, open-interpreter, crewAI, autogen, …) — how much agents wrote, which ones, and whether each commit's claim is backed by its own diff. Score yours: dos commit-audit --sweep --workspace . BASE..HEAD.

The whole pitch in one recording: the agent claims two features shipped; git backs one. dos verify answers from the commits, the lie exits 1, and a gate on that exit code refuses the false "done". Every line is the real CLI's verbatim output — scripts/build_caught_lie_cast.py re-records it whenever the output changes.

Run a fleet of agents on one repo. The left loop just feels like progress; the right one you can steer. The only difference is a verdict DOS reads from the real world — here, git — never the agent's word.

An AI agent will tell you it finished. DOS checks the real world instead of taking its word — and the nearest piece of the real world is your git history. An agent says it shipped the login endpoint; did it? Run one command, dos verify, and it answers from the artifacts the work left behind, not from what the agent typed: a commit backs the claim → SHIPPED, exit 0; nothing landed → NOT_SHIPPED, exit 1. The agent's story never enters into it. (Git is just the first witness DOS reads; the file tree, the clock, a CI status, a test environment's own state are others — anything the agent didn't author.)

dos verify AUTH AUTH1   # → SHIPPED      AUTH AUTH1 e62f74d   (exit 0)
dos verify AUTH AUTH2   # → NOT_SHIPPED  AUTH AUTH2           (exit 1)

That's the smallest version. It scales up, too: point a dozen agents at one repo — in CI, in a fleet, racing on the same files — and DOS also tells you which ones are stepping on each other, which one is spinning in circles, and which claim of "done" is real. Every answer comes from the artifacts (git, the file tree, the clock), never the narration. It works on a plain git repo with zero config and gets smarter the more you tell it, and the only thing you ever install is one small Python package.