它将会话使用数据与记录的工作相连接，为每条归因标注置信度，从不回传数据或要求 API 密钥，提供了诚实且保护隐私的编码助手可观测性。
See what your coding agents actually did — and what it cost — on a dashboard that never leaves your machine.
agentacct is local-first Agent Work Intelligence for coding agents. It reads the session logs that Claude Code and Codex already write on your machine, joins them with the work each session records as it goes, and shows the result — tokens, estimated cost, tasks, and evidence — on a local dashboard.
Private by design. Everything stays on your machine: state is plain local files, the dashboard binds to 127.0.0.1, and there is no phone-home telemetry, no account, no cloud sync. agentacct never stores or requests a provider API key.
Screenshots show a synthetic demo workspace; your dashboard renders your machine's real local data.
client_reported; costs are clearly marked pricing-table estimates, never invoices.Verified evidence, an agent's own claim stays labeled Agent reported.exact/high/medium/low). Missing attribution beats wrong attribution: when agentacct cannot prove a link, it shows the gap instead of a guess.Requires Python >= 3.11 on macOS or Linux; Windows is supported only via WSL.
pipx install agentacct
agentacct onboard # from your repo root
No pipx yet? Install it first with brew install pipx (macOS) or python3 -m pip install --user pipx — or skip pipx entirely and use uv tool install agentacct. See INSTALL.md for a plain-venv fallback.
onboard detects your local coding-agent logs, sets up the project-local store, runs a first usage sync, and starts the dashboard at http://127.0.0.1:8765. Then open a new agent session in the project — MCP servers and hooks bind at session start, so the session that ran onboarding cannot become the first recorded Task.
Prefer to let the agent do it? Paste this into the codi
Local-first Agent Work Intelligence for coding agents: usage truth, recorded work, and honest joins. Read-only over coding-agent logs; zero-JavaScript localhost dashboard.
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