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MartinLoop

Control AI coding agents with limits, proof, + run receipts

Developer Tools
Artificial Intelligence
GitHub

Hunted byKeesanKeesan

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MartinLoop

Control AI coding agents with limits, proof, + run receipts

MartinLoop is the control plane for autonomous 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. Unbounded AI agents are expensive. Fix that. Run it. Prove it. Stop it

Top comment

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?

About MartinLoop on Product Hunt

Control AI coding agents with limits, proof, + run receipts

MartinLoop launched on Product Hunt on June 2nd, 2026 and earned 76 upvotes and 10 comments, placing #23 on the daily leaderboard. MartinLoop is the control plane for autonomous 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. Unbounded AI agents are expensive. Fix that. Run it. Prove it. Stop it

On the analytics side, MartinLoop competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how MartinLoop performed against the three products that launched closest to it on the same day.

Who hunted MartinLoop?

MartinLoop was hunted by Keesan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of MartinLoop including community comment highlights and product details, visit the product overview.