Développement
mission-control
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
★ 6,3 k étoilesMIT
Voir le guide →agentacct est un projet de développement open source, créé par mikehasa (mikehasa/agentacct sur GitHub). Il compte 763 étoiles sur GitHub et 82 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
See what your coding agents did — and what each task cost in tokens.
Set up the accounting tool for your environment.
Connect the coding agents you want to track.
Work steps are recorded as agents operate.
See per-task breakdowns of tools, files, tests, time, and tokens.
Every task split into auditable work steps.
See exactly what each task cost.
Records which tools the agent used.
Tracks files the agent touched.
Logs tests the agent ran.
How long each step took.
Download the source and move into the project folder.
git clone https://github.com/mikehasa/agentacct.git
cd agentacctEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandMIT licensed — commercial use allowed with attribution.
Check the README for the supported coding agents.
No — it measures it, so you can find and fix the waste yourself.
Review the repo docs for storage and privacy details.
It is built for visibility — check the docs for multi-user setups.
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.