OpenWork: The Open-Source Alternative to Claude Cowork With 20,000+ GitHub Stars

What is OpenWork and Why Does It Matter?

The AI coding assistant landscape has exploded in 2026, with tools like Claude Code, Cursor, and GitHub Copilot becoming essential parts of every developer's toolkit. But there's been a persistent problem: how do you share AI workflows, skills, and configurations across different tools and team members?

Enter OpenWork, an open-source project that has rapidly gained traction in the developer community, amassing over 20,000 GitHub stars. Created by the team at different-ai, OpenWork positions itself as the open-source alternative to Claude Cowork (formerly known as Claude for Teams) and OpenAI's Codex platform.

Unlike proprietary solutions that lock you into a single ecosystem, OpenWork takes a different approach: it acts as a universal layer that connects your AI agents, skills, and services regardless of which coding assistant you prefer. Think of it as a workflow hub that makes your AI tools actually work together.

How OpenWork Works: The MCP Connection

At the heart of OpenWork is its integration with the Model Context Protocol (MCP), an open standard that allows AI assistants to connect to external tools and services. OpenWork leverages MCP to create a unified interface for managing your AI workflows.

Setting Up OpenWork with Your Favorite Agent

Getting started with OpenWork is straightforward. Here's how you can integrate it with popular AI coding assistants:

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 users, add this to your opencode.json:

{
  "mcp": {
    "openwork": {
      "type": "remote",
      "enabled": true,
      "url": "https://api.openworklabs.com/mcp/agent",
      "oauth": {}
    }
  }
}

Once connected, OpenWork exposes two primary tools to your AI agent:

• search_capabilities: Discover what skills, plugins, and services are available in your workspace
• execute_capability: Run specific capabilities directly from your coding assistant

Key Features That Set OpenWork Apart

1. Cross-Platform Workflow Sharing

The biggest pain point OpenWork solves is workflow portability. Create a skill or automation once, and it works across:

• Different AI assistants (Claude Code, Cursor, Codex, etc.)
• Multiple team members
• Various machines and operating systems

No more copy-pasting prompts or rebuilding the same automation for each tool. OpenWork maintains a centralized repository of your workflows that any compatible agent can access.

2. OpenWork Den: Team Collaboration at Scale

For organizations, OpenWork Den provides enterprise-grade management features:

• Inference Management: Provision AI model access at scale and control which team members can use specific model providers
• Team Organization: Invite teammates, create teams, and manage access permissions from a single dashboard
• Policy Enforcement: Set desktop policies, restrict local model access, and control which app versions your organization can use
• Marketplace Integration: Publish skills and plugins through marketplaces, then assign them to specific teams or individuals
• Plugin Compatibility: Import Anthropic-compatible plugins and make their skills and remote MCPs available through OpenWork

3. Google Workspace and Microsoft 365 Integration

OpenWork doesn't just connect to AI agents—it bridges your productivity suite. The platform integrates with Google Workspace and Microsoft 365, allowing your AI assistants to access documents, spreadsheets, and other business tools directly through the MCP layer.

4. Optional Desktop App

While OpenWork offers a dedicated desktop application for those who want a standalone workspace, it's entirely optional. If you're already comfortable with Claude Code, Cursor, or another agent, you can use OpenWork purely as an MCP server without installing additional software.

Real-World Example: Building a Shared Development Workflow

Let's say you're leading a development team of five engineers. Each person has their preferred AI coding assistant—two use Claude Code, two use Cursor, and one uses Codex. Before OpenWork, maintaining consistency was a nightmare.

Here's how OpenWork transforms this scenario:

Step 1: Create Shared Skills

You define common development workflows as OpenWork skills:

• Code review automation with specific linting rules
• Documentation generation templates
• Test case creation patterns
• Deployment checklist automation

Step 2: Publish to Your Organization

Using OpenWork Den, you publish these skills to your team's workspace. Each skill is versioned and can be updated centrally.

Step 3: Team Access

Your teammates connect their preferred AI assistants to OpenWork. When they ask their AI to "run code review" or "generate documentation," the assistant queries OpenWork's search_capabilities tool, finds the appropriate skill, and executes it via execute_capability.

Step 4: Consistent Results

Regardless of which AI assistant they use, everyone gets the same high-quality output because they're all running the same underlying skill definitions.

Step 5: Iterative Improvement

When you update a skill—say, adding new security checks to the code review process—everyone benefits immediately without needing to update their individual configurations.

Key Benefits of Adopting OpenWork

• Vendor Neutrality: Don't get locked into a single AI provider. Switch tools without losing your workflows
• Open Source: Full transparency, community-driven development, and the ability to self-host if needed
• Reduced Redundancy: Stop rebuilding the same automations across different tools and team members
• Enterprise Ready: OpenWork Den provides the management features organizations need for large-scale adoption
• Active Community: With 20,000+ GitHub stars and 2,100+ forks, OpenWork has a thriving community contributing improvements
• MCP Standard: Built on open standards, ensuring long-term compatibility and extensibility
• Cross-Platform: Works on macOS, Windows, and Linux—no platform lock-in

Getting Started with OpenWork

Ready to try OpenWork? Here are three ways to get started:

Option 1: Quick Install via AI Agent

Copy this prompt and paste it into your AI coding assistant:

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

Option 2: Download the Desktop App

Visit openworklabs.com/download to get the standalone application.

Option 3: MCP-Only Setup

Add the OpenWork MCP server to your existing AI assistant using the commands shown earlier.

FAQ: Common Questions About OpenWork

Q: Is OpenWork really free?

A: Yes, OpenWork is completely free and open-source. The core platform and MCP integration have no cost. OpenWork Den (the team management interface) may have enterprise pricing for large organizations, but individual developers can use OpenWork without paying anything.

Q: Do I need to install the desktop app?

A: No, the desktop app is optional. You can use OpenWork purely as an MCP server with your existing AI coding assistant. The desktop app is there if you want a dedicated workspace interface.

Q: Which AI assistants are compatible with OpenWork?

A: OpenWork works with any AI assistant that supports the Model Context Protocol (MCP). This includes Claude Code, Cursor, Codex, OpenCode, ChatGPT with MCP support, and other compatible agents. The list continues to grow as more tools adopt MCP.

Q: Can I use OpenWork for personal projects, or is it only for teams?

A: OpenWork works great for both personal and team use. Individual developers can use it to organize their own AI workflows across different machines and tools. OpenWork Den adds team collaboration features for organizations.

Q: How does OpenWork compare to Claude Cowork?

A: OpenWork is the open-source alternative to Claude Cowork. While Claude Cowork is Anthropic's proprietary solution tied to their ecosystem, OpenWork is vendor-neutral and works with multiple AI providers. OpenWork also offers more flexibility for self-hosting and customization.

Q: Is my data secure with OpenWork?

A: OpenWork is open-source, so you can audit the code yourself. For organizations with strict security requirements, OpenWork Den provides policy controls and the option to restrict local model access. You can also self-host OpenWork for complete data sovereignty.

Q: What happens if I switch from Claude Code to Cursor (or vice versa)?

A: That's one of OpenWork's biggest advantages. Your workflows, skills, and configurations are stored in OpenWork, not tied to a specific AI assistant. When you switch tools, simply connect your new assistant to OpenWork and all your workflows are immediately available.