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What you can do with No Human

no_human is a free, open-source Python tool that turns a ticket into a reviewed pull request on your own machine, with a plan, an independent model review, and a tamper guard.

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4 use cases

  • Turn one issue into a reviewed pull request

    Send a GitHub issue through a plan, a coder, and an independent review before you approve.

    View prompt
    In the no_human repo, install the CLI, add the GitHub issue <issue-url> with --repo <local-repo-path>, and run nh review. Report the checklist items that failed with their file and line citations, and confirm whether the test status reads NOT RUN.
  • Stop AI changes that delete or weaken tests

    Count deleted tests, new skips, and tautological assertions before any review runs.

    View prompt
    Using the no_human repo at <checkout-path>, add the task <issue-url> for the repo at <local-repo-path>. Report whether the tamper guard stopped any attempt for deleted or weakened tests, and cite the event that shows the result.
  • Check that a Python bug fix really fixes the bug

    Require the offered tests to fail on the old code and pass on the new tree.

    View prompt
    In the no_human repo, add the Python bug issue <issue-url> for the repo at <local-repo-path> and run nh review. Report whether the reproduction gate passed, and state which test was offered as evidence.
  • Add a pass or fail review check to pull requests

    Run the adversarial reviewer and tamper guard as a GitHub Action on each pull request.

    View prompt
    In the repo <owner/repo>, add the no_human review-gate workflow with a pinned reviewed commit SHA and the secret ANTHROPIC_API_KEY. Open a test pull request and report the checklist comment and the exit status, and confirm the head SHA checkout is set.

How to use No Human

  1. Check you have what it needs: Python 3.12+; uv; git.
  2. Open no-human-ai/no_human on GitHub and read the README and license.
  3. Run uv tool install no-human (or pipx install no-human).
  4. Run nh init && nh doctor to set the token, config, and first repo, then confirm the install works.
  5. Run nh start to open the board and worker on 127.0.0.1:8420.
  6. Run nh task add https://github.com/org/repo/issues/42 --repo ~/git/repo with your own issue and repo.

These steps come from our top use case, Turn one issue into a reviewed pull request, which also has a copy-paste agent prompt.

No Human alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and engineering leads who already use GitHub, Jira, Linear, or monday.com and want AI-written changes checked before they reach a pull request.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/no-human-ai/no_human · Back to Hot repos

Requirements

  • Python 3.12+
  • uv
  • git
  • Node with npm, for the board build from source
  • An Anthropic credential: an ANTHROPIC_API_KEY or a Claude subscription OAuth token from claude setup-token
  • A git repository you want changed, and a GitHub or GitLab issue URL or a configured tracker
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Questions about No Human

What is No Human?

no_human is a free, open-source Python tool that turns a ticket into a reviewed pull request on your own machine, with a plan, an independent model review, and a tamper guard. It is an open-source project on GitHub: https://github.com/no-human-ai/no_human.

Who is No Human for?

Developers and engineering leads who already use GitHub, Jira, Linear, or monday.com and want AI-written changes checked before they reach a pull request.

What can I do with No Human?

4 use cases so far, for example: Turn one issue into a reviewed pull request; Stop AI changes that delete or weaken tests; Check that a Python bug fix really fixes the bug. Each has steps and a copy-paste agent prompt.

What do I need to run No Human?

Python 3.12+; uv; git; Node with npm, for the board build from source.

What are alternatives to No Human?

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

Is No Human 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.