MartinLoop
MartinLoop is the control room for AI coding agents, providing spend limits, proof checks, safety rules, rollback, and run receipts to make autonomous agents accountable.
MartinLoop: Control AI coding agents with limits, proof, + run receipts | Product Hunt
MartinLoop
Launching today
Control AI coding agents with limits, proof, + run receipts
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Control AI coding agents with limits, proof, + run receipts
8 followers
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AI Coding Agents
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AI Infrastructure Tools
MartinLoop is the control room for AI coding agents. Today, it wraps Claude, Codex, OpenCode, and other agents with spend limits, proof checks, safety rules, rollback, and run receipts. The bigger build turns that into a full agent control plane: dashboards, HeadlessOS-style execution, team oversight, cost visibility, and a trusted record of what every agent did, why it kept going, and why it stopped.
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Launch tags:Developer Tools•Artificial Intelligence•GitHub
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p/martinloop•
12d ago
What proof should a coding agent show before another retry?
One pattern we keep seeing: teams set a max budget or max iterations, but the expensive part usually starts earlier, when the agent keeps retrying without new evidence.
A better stop rule seems to be: before another retry, the agent should show what changed, what verifier passed, and what would make the next attempt stop.
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Hunter
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Hey Product Hunt, I built MartinLoop after watching useful coding agents fail in the most expensive way: they keep trying. A loop can look productive while it burns tokens, repeats the same failure class, edits outside scope, or stops with no durable evidence.
MartinLoop is the open-source control layer around that loop. It adds hard budget caps, verifier-gated next-attempt admission, safety policy for scope/secrets/verifier commands, rollback evidence, and JSONL run records you can inspect or resume later.
The goal is simple: keep the speed of autonomous agents, but make every run accountable. I would love feedback from anyone running Claude Code, Codex, OpenCode, or similar coding-agent workflows in real projects: what receipt would you need before trusting a long-running agent overnight?
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13d ago
Hunter
Useful framing. The part I would want before trusting a long-running agent is a concise run receipt: budget spent, verifier failures, scope guard hits, and the exact stop reason. If you surface that per run, it becomes much easier to compare agents without rereading logs.
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7d ago
Hunter
One thing I would genuinely love feedback on from launch-day testers: what proof would you want before trusting a coding agent overnight? Budget receipt, verifier result, rollback path, or a file-level diff trail? MartinLoop is built around making those runs inspectable instead of just fast.
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5d ago
Hunter
One lesson from testing coding agents: cost usually spikes after the first failure, not before it. If the agent can't show a receipt for done, the next retry should get harder, not easier: cap the spend, require a verifier check, and stop when the same mistake repeats. If you've seen a failure mode we should test before launch, I'd love that feedback.
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12d ago
Hunter
A small rule that catches a lot of fake progress: if the agent can't explain what changed since the last attempt in one sentence, it probably should not get another retry yet. That sounds strict, but it saves a lot of budget from "busy" loops that only reshuffle the same failure.
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12d ago
Hunter
Beginner-friendly agent UX is mostly about predictable stop states. People forgive a small failure if the tool says what happened, what it checked, and why it stopped. They lose trust when the run keeps going with no new signal.
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12d ago
Hunter
Small update for launch-day testers: the fastest way to try MartinLoop is now:
npx martin-loop demo
The feedback I want most is simple: after an AI coding run fails, what proof would make you trust the next attempt?
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12d ago
One pattern I keep running into is that agent runs can look productive while they keep retrying the same failure class. MartinLoop is built to make those runs inspectable with budget caps, verifier-gated retries, rollback evidence, and run records. If there is a receipt format or safety check you would want before leaving a coding agent overnight, I would genuinely like to hear it.
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7d ago
Hunter
@torramlabs
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7d ago