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OpenWork

Free Listing

Free, open-source desktop app for macOS, Windows, and Linux. Run any model — local models or your own API keys — on your own files, and share skills and MCP servers with your team. An open-source alternative to Claude Cowork and Codex.

Visit different-ai/openwork

Overview

OpenWork is a free, open-source desktop app for macOS, Windows, and Linux that lets AI agents work on your own files. Built on OpenCode, it supports 50+ LLM providers, runs locally with optional cloud, and allows teams to share skills and MCP servers. It is an open-source alternative to Claude Cowork and Codex.

Key Features

  • Free and open source desktop app for macOS, Windows, and Linux
  • Run any model: bring your own API key, sign in with ChatGPT, or use local models via Ollama or any OpenAI-compatible server
  • Your files stay local; cloud is optional
  • Share skills and MCP servers with your team
  • Self-host the team control plane on your own infrastructure
  • Bring your Cowork setup: skills, Claude-compatible plugins, and MCP servers carry over

Use Cases

  • Individual knowledge workers who want to run AI on their own files with their own API keys
  • Teams that need to centrally manage and share skills, MCP servers, and model access
  • Enterprises that require self-hosted or managed private instances for data sovereignty
  • Teams migrating from Claude Cowork who want to reuse existing SKILL.md files and MCP servers

Getting Started

  • Download the desktop app from the website or GitHub releases. Alternatively, copy the provided prompt into an AI agent like Claude Code, Cursor, or Codex to install and set up OpenWork automatically. For contributors, clone the repository, run corepack enable, pnpm install, and

Deployment & Requirements

  • Desktop app runs on macOS, Windows, and Linux. For self-hosting the control plane, see the documentation. For contributors, Node 24, pnpm 11, and Git with DCO sign-off are required.

Before You Adopt

  • License: Other. Review its terms before using, modifying, or distributing the project.
  • Some features are marked as alpha or coming soon, indicating they may not be fully production-ready.

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