omnirush-ai/omnirush-gui

This page introduces an external open-source repository. It is not an HDATF product.

What it does

OmniRush is a desktop application for asking a coding agent to work on a selected project. Prompts and project files become inputs, while edited files, command results and Git work become outputs. An Electron shell starts a local server and a bundled OpenCode engine that exposes skills and MCP tools to the selected model. MCP is a common interface through which agents call external tools. The application requires an approved OmniRush account and device sign-in before it runs prompts, and the available model catalog comes from that account. Published desktop builds target Apple Silicon macOS and Linux, not a native Windows desktop release. Free access is offered by the service itself, but its privacy policy permits collecting session traces and project uploads for model development and research partners. The desktop code is largely MIT-licensed, while the enterprise directory has separate terms, so neither local execution nor public source means private processing or unrestricted enterprise reuse.

How it helps ATF

For Harness, the separation of desktop UI, local server and agent engine is a candidate architecture comparison for external executors. A public sample repository could be used to compare task state, skill discovery, MCP connection status and approval events against the final file diff. Tests should cover engine restart, stale tool catalogs and destructive Git requests, keeping guarded approvals rather than assuming every action asks. Its upload policy rules out connecting Company Brain or customer project folders in this proposed evaluation. Reusing enterprise modules or adopting the hosted service would require separate license and data-governance review, and no existing integration is claimed.

License

Custom license Custom or non-standard license. Read the license file before any reuse.

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Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.