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-agents. Self-hosted, open-source, pluggable into any model.

Online demo: lab.widemoat.ai — Open WebUI with Computer Use already set up, sign in with GitHub or Google. (More ways to try it below.) The old chat.yambr.com address redirects here and will keep doing so.

Where this project is going. Open Computer Use set out to answer one question — can an LLM be given a real computer safely enough to be useful? It answered it, and it is used in production. That result led us somewhere else: Wide Moat, an enterprise AI platform that runs inside a company's own perimeter. It is a different product, not a rewrite of this one, and it is currently developed in private.

Practically, for you:

• This repository keeps working. It is maintained — fixes, dependency and security updates, and support for the Open WebUI versions it targets. It is not abandoned and not deprecated.
• Its pace of new features slows down. Our attention has moved to the platform, and that is honest to say up front rather than to leave you guessing from commit dates.
• The licence promise stands. FSL-1.1-Apache-2.0: use it, fork it, self-host it, redistribute it — and every release converts to Apache-2.0 two years after publication, whatever we do next. Nothing here can be taken back from you.

Worth watching if you like this project: a sandbox integrated natively into Open WebUI, rather than bolted on through a filter and a tool, is one of the things being built on the platform. Try the hosted lab at lab.widemoat.ai or read more at widemoat.ai.

If any of this looks useful, a ⭐ on the repo really helps — thanks!

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

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

Build your own skills — package recurring work into reusable functions

Data → chart with analysis

Claude Code — interactive terminal in the cloud

Sub-agent dashboard — monitor and control

See docs/FEATURES.md for architecture details and docs/SCREENSHOTS.md for all screenshots.

Pro tip: Create skills with Claude Code in the terminal, then use them with any model in the chat. Skills are model-agnostic — write once, use everywhere.

Multi-CLI sub-agent runtime (v0.9.2.1+): The sub-agent dispatch supports Claude Code (default), OpenAI Codex, and OpenCode (with OpenRouter / qwen / DeepSeek / 75+ providers). Flip SUBAGENT_CLI=claude|codex|opencode in .env — see docs/multi-cli.md for the worked OpenCode + qwen3-coder + OpenRouter recipe.

Architecture

Looking ahead: a Kubernetes-friendly architecture with object-storage-backed user data and squashfs-packaged skills is being designed in docs/future-architecture/. Docker Compose remains the primary supported path.

Ways to try it

OAuth only — no email/password, no SMS. On lab.widemoat.ai models are bundled as a free convenience. The hosted MCP endpoint is offline during the transformation; see docs/CLOUD.md.

Quick Start

git clone https://github.com/Wide-Moat/open-computer-use.git
cd open-computer-use
cp .env.example .env
# Edit .env — set OPENAI_API_KEY (or any OpenAI-compatible provider)

# 1. Start Computer Use Server (builds workspace image on first run, ~15 min)
docker compose up --build

# 2. Start Open WebUI (in another terminal)
docker compose -f docker-compose.webui.yml up --build

Open http://localhost:3000 — Open WebUI with Computer Use ready to go.

Note: Two separate docker-compose files: docker-compose.yml (Computer Use Server) and docker-compose.webui.yml (Open WebUI). They communicate via localhost:8081. This mirrors real deployments where the server and UI run on different hosts.

Model Settings (important!)

After adding a model in Open WebUI, go to Model Settings and set:

Without Function Calling: Native, the model won't invoke Computer Use tools.

What's Inside the Sandbox

Ski