What is Agentacct used for?

agentacct is a local-first dashboard that shows what coding agents did and what it cost, built from your Claude Code, Codex and OpenCode session logs. It is a good fit for reviewing what AI coding agents did and tracking token spend across agent tools.

Is Agentacct open source?

Yes. Agentacct is open source under the MIT licence. Its source code is on GitHub at mikehasa/agentacct and is written mainly in Python.

Yes. Agentacct is open source, so the software itself is free to use. Paid plans are also available, starting at $9.99 per month.

What are some alternatives to Agentacct?

Similar open-source tools in the Developer Tools category include Munder Difflin, Agent Beacon and Mission Control. SaaS products in the same category include CNVS, 1DevTool and AgenKit.

Is Agentacct actively maintained?

Yes. The most recent commit to Agentacct was on 1 October 2026, and the latest release is v0.12.10, published on 1 October 2026. The project has 763 stars on GitHub.

Agentacct: open-source developer tools

About Agentacct

agentacct answers the question of what your coding agents have actually been doing. It reads the local session logs of tools such as Claude Code, Codex, Kimi Code, OpenCode and Hermes, then shows recent activity, tool calls, recorded steps, checks, tokens and estimated cost across projects and clients.

Each task has a Work Receipt that brings together the participating sessions, the recorded outcome, estimated cost, claims and check results, with an activity timeline from attempt to result. An agent's own statement that it is done is labeled Reported, while Verified requires passing checks after the last recorded change, and failed attempts remain visible in the history. Work groups point at a project folder to see which agents worked there and what they did most recently.

There is no account, no cloud and no telemetry; nothing leaves your computer. It needs Python 3.11 or newer on macOS or Linux, with Windows supported through WSL, or a signed, notarized macOS app for macOS 14 and later. agentacct is written in Python and licensed under MIT.

Key features

Dashboard built from local agent session logs
Per-task Work Receipts with outcomes
Token usage and estimated cost
Reported versus Verified result states
Support for several coding agents
Signed macOS app and Python install

Good fit for

→Reviewing what AI coding agents did
→Tracking token spend across agent tools

Built with: Python
Tags: ai-agents; observability; cost-tracking; claude-code; codex; local-first; dashboard; python

Agentacct: questions and answers

What is Agentacct used for?: agentacct is a local-first dashboard that shows what coding agents did and what it cost, built from your Claude Code, Codex and OpenCode session logs. It is a good fit for reviewing what AI coding agents did and tracking token spend across agent tools.
Is Agentacct open source?: Yes. Agentacct is open source under the MIT licence. Its source code is on GitHub at mikehasa/agentacct and is written mainly in Python.
Is Agentacct free?: Yes. Agentacct is open source, so the software itself is free to use. Paid plans are also available, starting at $9.99 per month.
What are some alternatives to Agentacct?: Similar open-source tools in the Developer Tools category include Munder Difflin, Agent Beacon and Mission Control. SaaS products in the same category include CNVS, 1DevTool and AgenKit.
Is Agentacct actively maintained?: Yes. The most recent commit to Agentacct was on 1 October 2026, and the latest release is v0.12.10, published on 1 October 2026. The project has 763 stars on GitHub.