Agents burn moneyunwatched.
Infersync is a supervisor for fleets of coding agents. It plans the work, hands each step to the right agent, watches every run and checks the result.
Any agent · on your machines · your code never leaves
What it catches
Caught in seconds. Not by you.
Stalls and loops
Drift and overspend
Collisions and risk
Infersync watches every agent run for six things and acts within seconds. A person is asked only for what can hurt.
- 01Loops
- The same command or the same failing test, again and again. Caught at the fourth repeat and stopped.
- 02Drift
- Every few minutes the run is judged against the goal it was given. Off the goal, it is stopped.
- 03Overspend
- Each run has a budget in minutes. A run that passes it is stopped, not left to burn overnight.
- 04Collisions
- Two agents reach for the same file. The second waits until the first one's change has landed.
- 05Risky paths
- Anything that touches auth, payments, secrets or a path you name goes to a person first.
- 06Stalls
- A run that goes quiet is moved to another agent, or handed to you.
Why now
Agents already work alone.
280,000
pull requests opened by coding agents on public GitHub in the 7 days to 1 October 2026
6
ways an unattended run goes wrong, each one watched
1
command to connect a machine, about 10 minutes to set up
Counted with GitHub search on 1 October 2026. How we counted.
Backed by startup credits from Stripe, Metronome, Amazon and a few other major names.
How it starts
Ten minutes.
- 01Sign in with GitHub
- 02Paste one command
- 03Say what you want done
$ npx live.infersync.com/runner/… connect
For product teams whose agents already run unattended.
Any agent. Laptops, servers or CI.
Ask for accessquestions
Asked, answered.
Anything we missed? Write to hello@infersync.com. A human answers.
- Infersync is a supervisor for fleets of coding agents. You say what you want done; it plans the work into steps, hands each step to the agent with the best record for it, watches every run for six things, checks the result before the pull request opens, and asks a person only for what can hurt.
- Claude Code, Codex, Cursor and Aider, each watched action by action. Any other agent needs one small adapter file, which you can test with one command before connecting it.
- No. The agent runs on your machine, in a git worktree, with your own subscription or key. Infersync sees the names of your repos, the actions the agent takes (edit this file, run that command), the pull request and the result of the check. The runner is plain JavaScript you download from your own workspace, source included, so you can read exactly what leaves the machine.
- Not by talking. The drift judge sees only the actions and the diff, and the check runs outside the agent's session. What the guards cannot stop is whoever controls the machine faking reports, which is the same trust model as any CI system; the threat this is built for is the agent misbehaving on an honest machine.
- About ten minutes, in three steps: sign in with GitHub, paste one command on the machine where your agents run, and say what you want done. The command downloads a small runner from your own workspace; nothing is installed from a public registry.
- In the seven days to 1 October 2026, coding agents opened about 280,000 pull requests on public GitHub by themselves: roughly 241,000 from Codex branches, 15,000 from Devin, 13,000 from GitHub Copilot's coding agent, 7,600 from Cursor's agent and 2,200 from Jules. That is public repositories only, and only the runs that finished.
- Metered by the minutes your agents work under watch. Ask us.