agentacct
See what your coding agents did and what it cost. Breaks each task down into work steps, tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.
Not yet testedsource: GitHubhomepagePythonMITcommit 8c4d3d5eae16
Python, MIT licensed. The project labels itself: agent observability, ai agents, analytics, claude code, cli, codex, coding agent and cost tracking.
agentacct 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-observabilityai-agentsanalyticsclaude-codeclicodexcoding-agentcost-trackingdashboarddeveloper-toolsdevtoolsllmllmopslocal-firstmcpobservabilityopencodepythontoken-usage
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/agentacct)Questions
- Does agentacct run?
- agentacct has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test agentacct?
- 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 agentacct?
- 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.