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What you can do with Mu

mu is a command line and desktop coding agent that sends routine permission and context decisions to a small judge model so the main model can focus on the code.

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qybaihe/mu on GitHub

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What do you want to do?

3 use cases

  • Run a coding session that asks only about risky steps

    Install Mu and let the judge approve routine commands, asking you only about the rest.

    View prompt
    Install the mu-agent package for the mu coding agent (github.com/qybaihe/mu) with `npm i -g mu-agent`, run `mu setup`, then start `mu` in <project path>. Expected output: a running session in that folder. Verify that `mu ledger` lists at least one judge verdict with its probabilities and timing after a short task.

  • Compare a judge in shadow mode before trusting it

    Log what the judge would do without letting it change anything, then read the verdicts.

    View prompt
    Set up the mu coding agent (github.com/qybaihe/mu) in shadow mode by writing `{"modes": {"default": "shadow"}}` to ~/.mu/agent/mu.json, then run a small task with `mu` in <project path>. Expected output: a ledger of verdicts that changed no behavior. Verify with `mu ledger` that the entries show probabilities and timing.

  • Code with the Mu desktop app and no terminal

    Install the desktop app, connect a model, and watch the judge decisions in one window.

    View prompt
    Download the mu desktop installer for this operating system from https://github.com/qybaihe/mu/releases/latest, install it, and connect a model with <API key or subscription>. Expected output: the app opens and completes one task. Verify that the Judge tab lists verdicts with their timing.

How to use Mu

  1. Check you have what it needs: Node.js 22.19 or newer for the command line, or the desktop installer for macOS, Windows or Linux; An API key or a supported ChatGPT, Claude, Grok or Google subscription (the free Jev on OpenCode Zen answers until you set a judge key); A project folder to work in.
  2. Open qybaihe/mu on GitHub and read the README and license.
  3. Run npm i -g mu-agent (Node.js 22.19 or newer is required).
  4. Run mu setup to connect a model.
  5. Change into your project folder and run mu to start a session in the current directory.
  6. Keep the default Jev approves mode, and check /status during the session to see the verdicts.

These steps come from our top use case, Run a coding session that asks only about risky steps, which also has a copy-paste agent prompt.

Mu alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers who use an AI coding agent and want fewer permission prompts, with an audit trail of each judge decision.
  • Why it is hot
  • LanguageTypeScript
  • Sourcegithub.com/qybaihe/mu · Back to Hot repos

Requirements

  • Node.js 22.19 or newer for the command line, or the desktop installer for macOS, Windows or Linux
  • An API key or a supported ChatGPT, Claude, Grok or Google subscription (the free Jev on OpenCode Zen answers until you set a judge key)
  • A project folder to work in
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Questions about Mu

What is Mu?

mu is a command line and desktop coding agent that sends routine permission and context decisions to a small judge model so the main model can focus on the code. It is an open-source project on GitHub: https://github.com/qybaihe/mu.

Who is Mu for?

Developers who use an AI coding agent and want fewer permission prompts, with an audit trail of each judge decision.

What can I do with Mu?

3 use cases so far, for example: Run a coding session that asks only about risky steps; Compare a judge in shadow mode before trusting it; Code with the Mu desktop app and no terminal. Each has steps and a copy-paste agent prompt.

What do I need to run Mu?

Node.js 22.19 or newer for the command line, or the desktop installer for macOS, Windows or Linux; An API key or a supported ChatGPT, Claude, Grok or Google subscription (the free Jev on OpenCode Zen answers until you set a judge key); A project folder to work in.

What are alternatives to Mu?

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

Is Mu 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.