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What you can do with Agentacct

agentacct is a local-first dashboard and terminal app that shows what your coding agents did, the tokens and estimated cost behind that work, and whether their claimed results were verified.

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mikehasa/agentacct on GitHub

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What do you want to do?

4 use cases

  • See what your coding agents did and what it cost

    Install Agentacct once and review recent agent tasks, tool calls, tokens, and estimated cost on your machine.

    View prompt
    Install agentacct from https://github.com/mikehasa/agentacct on this machine using pipx, then run agentacct onboard. Report the most recent task names and their estimated costs in <project path>, and confirm that costs are marked as estimates. Verify that the Sessions view opens in agentacct tui.

  • Check whether an agent's 'done' claim is verified

    Open a task receipt and separate the agent's own Reported result from checks that passed after the last change.

    View prompt
    Use the agentacct repo at https://github.com/mikehasa/agentacct to open the receipt for the task <task name> and report whether its result is Reported or Verified. Confirm that any passing checks ran after the last recorded change, and list any earlier failed checks that remain in the history.

  • Review token use and cost by agent and model

    Filter usage by date, agent, model, or provider to see where tokens and estimated spend went.

    View prompt
    Use the agentacct repo at https://github.com/mikehasa/agentacct to report token totals and estimated cost by agent and by model for the last 7 days on this machine. Verify that cost figures are labeled as estimates and that the local data freshness stamp is shown.

  • Follow one project folder across every agent

    Point a work group at a project folder to see which agents worked there and in what order.

    View prompt
    Using the agentacct repo at https://github.com/mikehasa/agentacct, open the Work group for the folder <project path> and list the agents that worked there and their most recent sessions. Verify that group totals are shown as sums of the participating sessions, with partial coverage labeled.

How to use Agentacct

  1. Check you have what it needs: Python 3.11 or newer on macOS or Linux, or Windows through WSL, with pipx available (or the signed macOS app from the latest release on macOS 14+); At least one supported coding agent with local session logs on this machine, such as Claude Code or Codex; Permission to open a new agent session after setup, because hooks and MCP servers bind at session start.
  2. Open mikehasa/agentacct on GitHub and read the README and license.
  3. Run pipx install agentacct
  4. Run agentacct onboard once on this machine so it finds your agents and starts the recorder
  5. Open a new agent session so hooks and MCP servers bind
  6. Run agentacct tui and open Sessions to see the most recently active tasks

These steps come from our top use case, See what your coding agents did and what it cost, which also has a copy-paste agent prompt.

Agentacct alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers who run Claude Code, Codex, or other coding agents on their own machine and want an honest record of work, usage, and cost.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/mikehasa/agentacct · Back to Hot repos

Requirements

  • Python 3.11 or newer on macOS or Linux, or Windows through WSL, with pipx available (or the signed macOS app from the latest release on macOS 14+)
  • At least one supported coding agent with local session logs on this machine, such as Claude Code or Codex
  • Permission to open a new agent session after setup, because hooks and MCP servers bind at session start
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Questions about Agentacct

What is Agentacct?

agentacct is a local-first dashboard and terminal app that shows what your coding agents did, the tokens and estimated cost behind that work, and whether their claimed results were verified. It is an open-source project on GitHub: https://github.com/mikehasa/agentacct.

Who is Agentacct for?

Developers who run Claude Code, Codex, or other coding agents on their own machine and want an honest record of work, usage, and cost.

What can I do with Agentacct?

4 use cases so far, for example: See what your coding agents did and what it cost; Check whether an agent's 'done' claim is verified; Review token use and cost by agent and model. Each has steps and a copy-paste agent prompt.

What do I need to run Agentacct?

Python 3.11 or newer on macOS or Linux, or Windows through WSL, with pipx available (or the signed macOS app from the latest release on macOS 14+); At least one supported coding agent with local session logs on this machine, such as Claude Code or Codex; Permission to open a new agent session after setup, because hooks and MCP servers bind at session start.

What are alternatives to Agentacct?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Agentacct safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.