OpenWork: The Open-Source Claude Cowork Alternative With 18,000+ GitHub Stars That Unifies Your AI Agent Workflow

What Is OpenWork and Why Does It Matter?

If you've ever switched between AI coding agents — maybe Claude Code in the morning, Cursor in the afternoon, and Codex for a quick fix — you know the frustration. Each tool has its own configuration, its own set of MCP servers, its own skills. You end up duplicating work, losing context, and wasting time reconfiguring the same capabilities over and over.

OpenWork solves this problem. Built by the team at different-ai, it's an open-source desktop application that provides a single unified layer for managing all your AI agent capabilities. Think of it as a "control plane" for your AI-powered development workflow.

With over 18,000 GitHub stars and nearly 1,900 forks as of July 2026, OpenWork has quickly become one of the most popular open-source developer tools in the AI agent ecosystem.

How OpenWork Works: The Universal MCP Approach

OpenWork's core innovation is simple but powerful: it provides a single MCP (Model Context Protocol) server that exposes all your configured capabilities to any compatible AI agent.

One MCP, Every Agent

Instead of configuring each AI agent separately, you add the OpenWork MCP once and instantly get access to:

• Skills — reusable procedures and workflows you've created or imported
• MCP connections — databases, APIs, services you've connected
• Google Workspace — Docs, Sheets, Calendar integration
• Microsoft 365 — Outlook, OneDrive, Teams capabilities
• Plugins — third-party extensions from the OpenWork marketplace

Integration Is One Command Away

Adding OpenWork to your existing AI agent takes seconds:

# For Codex
codex mcp add openwork --url https://api.openworklabs.com/mcp/agent

# For Claude Code
claude mcp add --transport http openwork https://api.openworklabs.com/mcp/agent

# For Opencode (add to opencode.json)
{
  "mcp": {
    "openwork": {
      "type": "remote",
      "enabled": true,
      "url": "https://api.openworklabs.com/mcp/agent",
      "oauth": {}
    }
  }
}

The MCP exposes two primary tools to your agent:

• search_capabilities — discovers what you can use
• execute_capability — runs the selected capability

OpenWork Den: Enterprise-Grade Team Management

For teams and organizations, OpenWork includes OpenWork Den — a web-based admin interface that provides centralized control over your AI workflow infrastructure.

Key Admin Features

1. Provision Inference at Scale

Control which members and teams can access specific model providers. Set usage limits, manage API keys centrally, and track consumption across your organization.

2. Team and Access Management

Invite teammates, create teams, and manage permissions from a single dashboard. Assign different capability sets to different roles.

3. Desktop Policies

Restrict local model access, control which app versions your organization can use, and enforce security policies across all installations.

4. Skill and Plugin Marketplaces

Publish internal skills and plugins, then assign them to the entire organization, specific teams, or individual members. Import Anthropic-compatible plugins and make their capabilities available through the unified OpenWork MCP.

Real-World Example: A Day in the Life With OpenWork

Let's walk through a practical scenario to see how OpenWork changes the developer experience.

Scenario: You're a full-stack developer working on a SaaS product. Your team uses multiple AI agents for different tasks.

Before OpenWork:

• You configure PostgreSQL access in Claude Code
• You configure the same PostgreSQL access in Cursor (separately)
• You set up GitHub integration in Codex
• You create a "deploy to staging" skill in Claude Code
• Your teammate creates the same skill in Cursor (duplicate work)
• When a new developer joins, they spend a day configuring all three tools

After OpenWork:

• You configure PostgreSQL, GitHub, and deployment once in OpenWork
• All three agents (Claude Code, Cursor, Codex) instantly access these capabilities
• Your teammate creates the deploy skill once — it's available everywhere
• New developers get full access in minutes: install OpenWork, add one MCP URL, done
• Your admin controls which team members can deploy to production vs. staging

This isn't just convenience — it's a fundamental shift from per-agent configuration to capability-centric workflows.

Getting Started With OpenWork

Option 1: Use the Desktop App

Download OpenWork from openworklabs.com/download. Available for macOS, Windows, and Linux. The app provides a visual interface for managing your capabilities.

Option 2: Agent-Only Setup (No Desktop App Required)

Already happy with your current AI agent? You don't need the desktop app. Just add the OpenWork MCP to your agent and start using shared capabilities immediately.

Copy this prompt into any AI agent that can run commands:

Install OpenWork on my computer, set up my first workspace, and open it ready to use. Follow the steps in https://openworklabs.com/start.md?v=hero

This will install OpenWork, create your workspace, and have it ready to run in minutes.

Key Benefits of OpenWork

• 🔄 Universal Compatibility — Works with Claude Code, Cursor, Codex, Opencode, and any MCP-compatible agent
• ⚡ Create Once, Use Everywhere — Build skills and configurations once, access them from any connected agent
• 👥 Team Collaboration — Share capabilities with teammates, no more duplicating configuration work
• 🏢 Enterprise Ready — OpenWork Den provides centralized admin control for organizations
• 🔒 Security First — Desktop policies, access controls, and centralized API key management
• 🆓 Free and Open Source — MIT licensed, self-hostable, no vendor lock-in
• 🔌 Plugin Ecosystem — Import and publish plugins through built-in marketplaces
• ☁️ Cloud Integration — Native support for Google Workspace and Microsoft 365

How OpenWork Compares to Claude Cowork

While Claude Cowork (Anthropic's paid collaboration tool) focuses on Claude-specific workflows, OpenWork takes a different approach:

• Agent-agnostic — OpenWork works with any MCP-compatible agent, not just Claude
• Open source — Full source code available, self-hostable, community-driven
• Free — No subscription fees for core functionality
• Extensible — Plugin marketplace and custom skill creation
• Cross-platform — Native support for macOS, Windows, and Linux

Frequently Asked Questions

Is OpenWork really free?

Yes. OpenWork is completely free and open source under the MIT license. You can use it personally or commercially without any fees. The optional OpenWork Den admin interface is also free for teams.

Do I need to install the desktop app?

No. The desktop app is optional. You can use OpenWork purely through the MCP connection in your existing AI agent. The app provides a visual interface, but all functionality is available through the MCP.

Which AI agents are compatible with OpenWork?

OpenWork works with any agent that supports MCP (Model Context Protocol). This includes Claude Code, Cursor, Codex, Opencode, ChatGPT (with code interpreter), and any custom agent that can connect to remote MCP servers.

Can I self-host OpenWork?

Yes. The full source code is available on GitHub. You can run OpenWork Den (the admin interface) on your own infrastructure for complete control over your data and capabilities.

How does OpenWork handle API keys and secrets?

OpenWork uses secure credential storage appropriate to each platform (Keychain on macOS, Credential Manager on Windows, etc.). For organizations, OpenWork Den provides centralized API key management so individual developers don't need to store sensitive credentials locally.

What's the difference between skills and plugins?

Skills are reusable procedures (like "deploy to staging" or "generate API documentation"). Plugins are third-party integrations that add new capabilities (like connecting to a specific database or service). Both can be shared through OpenWork's marketplace.

Can I use OpenWork with local LLMs like Ollama?

Yes. OpenWork is agent-agnostic. If your AI agent can connect to the OpenWork MCP, it doesn't matter whether the underlying model is local (Ollama, LM Studio) or cloud-based (GPT-4, Claude, etc.).

How do I create custom skills?

Skills are defined as markdown procedures with optional scripts. You can create them through the OpenWork desktop app, share them with your team, or publish them to the marketplace. The skill format is compatible with the broader AgentSkills ecosystem.

Ready to unify your AI workflow? Download OpenWork from openworklabs.com or check out the source code on GitHub. Want to learn more about AI-powered development? Explore our interactive coding courses to level up your skills.