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How to run a coding agent on a local project from the desktop app with Omnirush Gui

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

Credentials. On macOS the keychain asks for your login password, and first launch may require bypassing the unverified-app warning; only do this for a build you downloaded from the official releases page.

Who it is forA developer or solo builder who wants a coding agent on their own project and has an omnirush.ai account.

The problemSetting up a coding agent with model access and tool approvals takes effort.

The outcomeThe app runs prompts against your project once the account is connected.

What you need first

  • 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

Steps

  1. Download the build for your platform from the releases page and install it.
  2. On macOS, follow the first-launch steps for the app, then open omnirush.
  3. Click **Sign in to omnirush.ai** in the sidebar, then approve the device code in your browser.
  4. Pick a model and an effort level for the chat; GPT 6 Astra is the default model.
  5. Leave the composer's full-permissions toggle off if you want to approve each tool call.

Prompt for your agent

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.

Caveat. The app does not run prompts until an account is connected, and there is no build for Intel Macs.

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Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page