開発ツール
mission-control
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
★ 6.3k スターMIT
ガイドを見る →agentacctは、mikehasaが公開しているオープンソースの開発ツールプロジェクトです（GitHub: mikehasa/agentacct）。GitHubスターは763、フォークは82で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
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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LibreAIカタログに掲載された開発ツールプロジェクトの中で最もスターの多いもの — agentacctが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でagentacctとスター数が近い開発ツールプロジェクト — 前後の棚もそのまま見て回れます。
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