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What you can do with Omnirush Gui

A desktop coding agent app for working on your own projects, using models from your omnirush.ai account.

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omnirush-ai/omnirush-gui on GitHub

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What do you want to do?

3 use cases

  • Run a coding agent on a local project from the desktop app

    Install the desktop app, sign in, and have the agent work on a project folder.

    View prompt
    Using the omnirush-gui desktop app on this machine, open the project at <project-path> in a new chat and ask the agent to list the failing tests and fix one. Report the files changed and confirm the chat shows each tool call the agent made.

  • Have the agent branch, commit and open a pull request

    Let the agent clone, branch, commit, push, and open or review a pull request with gh.

    View prompt
    In the omnirush-gui desktop app, open the repository at <repo-path>, create a branch named <branch-name>, make the change described in <task>, commit it, push, and open a pull request with gh. Report the pull request URL and confirm the push succeeded.

  • Let the agent query local files and SQLite through MCP

    Enable supported local MCP servers such as filesystem and SQLite for data questions.

    View prompt
    Using omnirush-gui with its SQLite MCP server enabled in Settings > MCP, query <database-path> for the row count of <table> and list its columns. Verify the row count against the source before reporting it.

How to use Omnirush Gui

  1. Check you have what it needs: An omnirush.ai account to sign in to the app; A supported platform: macOS on Apple Silicon, or Linux x64 or arm64 (no Intel Mac build); The GitHub CLI `gh` on the same machine for the git and pull request use case.
  2. Open omnirush-ai/omnirush-gui on GitHub and read the README and license.
  3. Download the build for your platform from the releases page and install it.
  4. On macOS, follow the first-launch steps for the app, then open omnirush.
  5. Click **Sign in to omnirush.ai** in the sidebar, then approve the device code in your browser.
  6. Pick a model and an effort level for the chat; GPT 6 Astra is the default model.

These steps come from our top use case, Run a coding agent on a local project from the desktop app, which also has a copy-paste agent prompt.

Omnirush Gui alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • An omnirush.ai account to sign in to the app
  • A supported platform: macOS on Apple Silicon, or Linux x64 or arm64 (no Intel Mac build)
  • The GitHub CLI `gh` on the same machine for the git and pull request use case
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Questions about Omnirush Gui

What is Omnirush Gui?

A desktop coding agent app for working on your own projects, using models from your omnirush.ai account. It is an open-source project on GitHub: https://github.com/omnirush-ai/omnirush-gui.

Who is Omnirush Gui for?

Developers and solo builders who want a desktop coding agent on their own projects and have an omnirush.ai account.

What can I do with Omnirush Gui?

3 use cases so far, for example: Run a coding agent on a local project from the desktop app; Have the agent branch, commit and open a pull request; Let the agent query local files and SQLite through MCP. Each has steps and a copy-paste agent prompt.

What do I need to run Omnirush Gui?

An omnirush.ai account to sign in to the app; A supported platform: macOS on Apple Silicon, or Linux x64 or arm64 (no Intel Mac build); The GitHub CLI `gh` on the same machine for the git and pull request use case.

What are alternatives to Omnirush Gui?

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

Is Omnirush Gui 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.