Open Computer Use
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agen…
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents. Self-hosted, open-source, pluggable into any model.
ARCHIVED. This repository is no longer developed or maintained. It receives no fixes, no security updates and no dependency updates, and issues and pull requests are closed. Do not run it in production.
Open Computer Use was a proof of concept for giving an LLM a real computer. Its successor is Wide Moat: Open WebUI with Open Terminal, a browser, and a Kubernetes sandbox isolated with gVisor, with ingress sidecars and egress through a MITM proxy. The isolation and credential-handling problems listed under Known limitations are addressed in that architecture, not in this codebase. Try it at ai.lab.widemoat.ai.
The code stays available under FSL-1.1-Apache-2.0: use it, fork it, self-host it. Each release converts to Apache-2.0 two years after publication.
What is this?
An MCP server that gives any LLM a fully-equipped Ubuntu sandbox with isolated Docker containers. Think of it as your AI's computer — it can do everything a developer can do:
- Execute code — bash, Python, Node.js, Java in isolated containers
- Create documents — Word, Excel, PowerPoint, PDF with professional styling via skills
- Browse the web — Playwright + live CDP browser streaming (you see what AI sees in real-time)
- Run Claude Code — autonomous sub-agent with interactive terminal, MCP servers auto-configured
- Use 13+ skills — battle-tested workflows for document creation, web testing, design, and more
Built for production multi-user deployments. Tested with 1,000+ MAU. Each chat session runs in its own isolated Docker container — the AI can install packages, create files, run servers, and nothing leaks between users. Works seamlessly across MCP clients: start with Open WebUI today, switch to Claude Desktop or n8n tomorrow — same backend, no migration.
Key differentiators
| Feature | Open Computer Use | Claude.ai (Claude Code web) | open-terminal | OpenAI Operator |
|---|---|---|---|---|
| Self-hosted | Yes | No | Yes | No |
| Any LLM | Yes (OpenAI-compatible) | Claude only | Any (via Open WebUI) | GPT only |
| Code execution | Full Linux sandbox | Sandbox (Claude Code web) | Sandbox / bare metal | No |
| Live browser | CDP streaming (shared, interactive) | Screenshot-based | No | Screenshot-based |
| Terminal + Claude Code | ttyd + tmux + Claude Code CLI | Claude Code web (built-in) | PTY + WebSocket | N/A |
| Skills system | 13 built-in (auto-injected) + custom | Built-in skills + custom instructions | Open WebUI native (text-only) | N/A |
| Container isolation | Docker (runc), per chat | Docker (gVisor) | Shared container (OS-level users) | N/A |
Works with any MCP-compatible client: Open WebUI, Claude Desktop, LiteLLM, n8n, or your own integration. See docs/COMPARISON.md for a detailed comparison with alternatives.
Live browser streaming
File preview with skills
Frontend design — landing page rendered live in the browser tab
Presentations — custom design system, not the default white template
From the project's README.