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What you can do with Harness Mix

Harness Mix is a local kernel that adds a native Codex Desktop interface for connecting many coding agent harnesses and passing tasks between them.

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emo-xiaoyu/harness-mix on GitHub

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What do you want to do?

3 use cases

  • Hand off a coding task between harnesses in one window

    Keep one Codex Desktop window and pass a task from one harness to another for a second pass.

    View prompt
    Using the repo emo-xiaoyu/harness-mix, set up Harness Mix on this machine and hand the current task at <task description> from the current harness to <target harness> with the independent review mode. Report the checkpoint created and confirm the target harness resumed its native session.

  • Run a multi-harness agent team on a code review

    Start a team template so a lead harness coordinates named member harnesses on one goal.

    View prompt
    Using the repo emo-xiaoyu/harness-mix, start the built-in 代码评审 agent team template for the project at <project path> with the goal <review goal>. Report each member harness, its assigned role, and the task state, and confirm that every member is using its own native session.

  • Install one skill or MCP server for many harnesses

    Add a SKILL.md or remote MCP server once in Settings and use it across supported harnesses.

    View prompt
    Using the repo emo-xiaoyu/harness-mix, install the skill at <path to SKILL.md> at Global scope and register the remote MCP server at <server URL>. Report the install location for each harness and confirm that the skill is listed in one harness session.

How to use Harness Mix

  1. Check you have what it needs: Windows, macOS, or Linux with a recent Node.js LTS and npm; Codex Desktop installed; At least one native Harness CLI (for example Codex, Pi, or Claude Code) installed and logged in on the same machine, since Harness Mix does not read or store Harness account keys.
  2. Open emo-xiaoyu/harness-mix on GitHub and read the README and license.
  3. Install Node.js LTS from nodejs.org, then run npm install --global @harness-mix/cli.
  4. Run harness-mix and wait for Codex Desktop to restart.
  5. In Codex Desktop, open a task and choose one of the installed harnesses, then use /switch or the handoff badge in the input box.
  6. Pick one of the four handoff modes: continue, run the previous plan, independent review, or re-analyze.

These steps come from our top use case, Hand off a coding task between harnesses in one window, which also has a copy-paste agent prompt.

Harness Mix alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Windows, macOS, or Linux with a recent Node.js LTS and npm
  • Codex Desktop installed
  • At least one native Harness CLI (for example Codex, Pi, or Claude Code) installed and logged in on the same machine, since Harness Mix does not read or store Harness account keys
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Questions about Harness Mix

What is Harness Mix?

Harness Mix is a local kernel that adds a native Codex Desktop interface for connecting many coding agent harnesses and passing tasks between them. It is an open-source project on GitHub: https://github.com/emo-xiaoyu/harness-mix.

Who is Harness Mix for?

Developers who already use Codex Desktop or several coding agent CLIs and want to switch, compare, or coordinate them in one window.

What can I do with Harness Mix?

3 use cases so far, for example: Hand off a coding task between harnesses in one window; Run a multi-harness agent team on a code review; Install one skill or MCP server for many harnesses. Each has steps and a copy-paste agent prompt.

What do I need to run Harness Mix?

Windows, macOS, or Linux with a recent Node.js LTS and npm; Codex Desktop installed; At least one native Harness CLI (for example Codex, Pi, or Claude Code) installed and logged in on the same machine, since Harness Mix does not read or store Harness account keys.

What are alternatives to Harness Mix?

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

Is Harness Mix 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.