martin-loop
Run coding agents without babysitting them. Keep jobs focused, bounded, checked and accountable from start to finish. Finally run your agents swarms overnight and get your time back.
Not yet testedsource: GitHubhomepageTypeScriptApache-2.0commit 73ba27b104ae
TypeScript, Apache-2.0 licensed. The project labels itself: agent runtime, ai agent runtime, ai coding agents, ai control plane, ai governance, ai safety, audit trail and budget enforcement.
martin-loop has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-runtimeai-agent-runtimeai-coding-agentsai-control-planeai-governanceai-safetyaudit-trailbudget-enforcementclaude-codecodexcoding-agentscontrol-planegithub-actionsgoverned-runtimellmopsmcpmodel-context-protocolobservabilitypolicy-as-coderollback
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/martin-loop)Questions
- Does martin-loop run?
- martin-loop has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test martin-loop?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for martin-loop?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.