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What you can do with Open Vetta

Open Vetta is an open-source, local-first desktop AI agent that works on your files, tools, and models (bring your own key) and can be extended with skills, MCP servers, plugins, and themes.

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5 use cases

  • Run a coding task on a local project with your own model

    Point Vetta at a local project and get code changes with visible tool calls and approvals.

    View prompt
    Use the Open Vetta repo (openvetta/open-vetta) on the workspace at <project-path>. Ask Vetta to fix one small failing test or add one small function, approve only the commands you need, and report the list of files changed and the execution trail. Verify that the changed files match the task and that no unrequested files were modified.
  • Build and hot-reload a Vetta plugin outside the source repo

    Scaffold a plugin, install it into the running desktop app, and watch changes live.

    View prompt
    Using the Open Vetta plugin CLI from the open-vetta project, scaffold a plugin named <plugin-id> in <parent-directory>, then add a small capability declared in plugin.json. Report the output of `npx vetta-plugin-cli docs` and confirm the plugin installs with `npm run install:vetta`. Verify that the declared capability appears in plugin.json and is limited to what the task requires.
  • Repeat a proven task across many directories on a schedule

    Run one working workflow over several folders with batch tasks, then schedule it as an automation.

    View prompt
    Use the Open Vetta repo (openvetta/open-vetta) to run a batch task built from the workflow in <workflow-name> across the directories in <directory-list>. Report, for each directory, whether the task finished and which files changed. Verify by checking that the results match the workflow on at least one directory you inspect by hand.
  • Build a local knowledge base for team reference

    Put team documents into a local knowledge base the agent can use in later tasks.

    View prompt
    Use the Open Vetta repo (openvetta/open-vetta) to create a local knowledge base from the files in <document-folder>. Ask it one question that only those files can answer and report the answer and the file it came from. Verify the answer against the source file by reading that file directly.
  • Set up Open Vetta from source and run the desktop app

    Clone the repo, install dependencies, and start the desktop app in development mode.

    View prompt
    Clone openvetta/open-vetta, switch to the dev branch, run bun install, and start the desktop app from apps/desktop with bun run dev. Report whether the app launches and which data folder it uses. Verify that the data folder is ~/.vetta-dev and that the installed-app folder ~/.vetta was not changed.

How to use Open Vetta

  1. Check you have what it needs: Download the desktop app for macOS, Windows, or Linux, or run from source with Bun 1.3+ and Node.js 20+; An API key for a supported provider, an OpenAI-compatible endpoint, or a local inference server (BYOK); A local project folder or documents to work on.
  2. Open openvetta/open-vetta on GitHub and read the README and license.
  3. Download the desktop app for your operating system from the Download link in the README, then follow the installation and first setup guide.
  4. Add a model provider using BYOK: a supported provider, an OpenAI-compatible endpoint, or a local inference server.
  5. Open your project folder as a workspace in a new session.
  6. Follow the first-task walkthrough, or describe a small coding task such as fixing a failing test, and review each permission request before approving it.

These steps come from our top use case, Run a coding task on a local project with your own model, which also has a copy-paste agent prompt.

Open Vetta alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and knowledge workers who want an AI agent that runs on their own machine, uses their own model provider, and leaves a reviewable trail of its actions.
  • Why it is hot
  • LanguageTypeScript
  • Sourcegithub.com/openvetta/open-vetta · Back to Hot repos

Requirements

  • Download the desktop app for macOS, Windows, or Linux, or run from source with Bun 1.3+ and Node.js 20+
  • An API key for a supported provider, an OpenAI-compatible endpoint, or a local inference server (BYOK)
  • A local project folder or documents to work on
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Questions about Open Vetta

What is Open Vetta?

Open Vetta is an open-source, local-first desktop AI agent that works on your files, tools, and models (bring your own key) and can be extended with skills, MCP servers, plugins, and themes. It is an open-source project on GitHub: https://github.com/openvetta/open-vetta.

Who is Open Vetta for?

Developers and knowledge workers who want an AI agent that runs on their own machine, uses their own model provider, and leaves a reviewable trail of its actions.

What can I do with Open Vetta?

5 use cases so far, for example: Run a coding task on a local project with your own model; Build and hot-reload a Vetta plugin outside the source repo; Repeat a proven task across many directories on a schedule. Each has steps and a copy-paste agent prompt.

What do I need to run Open Vetta?

Download the desktop app for macOS, Windows, or Linux, or run from source with Bun 1.3+ and Node.js 20+; An API key for a supported provider, an OpenAI-compatible endpoint, or a local inference server (BYOK); A local project folder or documents to work on.

What are alternatives to Open Vetta?

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

Is Open Vetta 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.