Open Computer Use

Give any LLM its own computer — Docker sandboxes with bash, browser, docs, and sub-agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "open-computer-use": {
      "url": "http://localhost:8081/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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!

Demo: Qwen 3.6 Plus scrapes GitHub Trending, builds an Excel chart, and ships an editorial web dashboard — all in one chat

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

Browser Viewer

File preview with skills

File Preview

Frontend design — landing page rendered live in the browser tab

Roasthaus landing page generated by the frontend-design skill, rendered live next to the chat

Presentations — custom design system, not the default white template

BrewLoop investor pitch deck slide with stat cards and a bar chart in a coffee-inspired palette

Build your own skills — package recurring work into reusable functions

invoice-builder skill demonstrating itself: usage code on the left, generated PDF on the right

Data → chart with analysis

SaaS user-growth chart with annotated inflection point and written analysis

Claude Code — interactive terminal in the cloud

Claude Code Terminal

Sub-agent dashboard — monitor and control

Sub-Agent Dashboard

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

Path	URL	What you need	Best for
Free online demo — Open WebUI + Computer Use, models included	lab.widemoat.ai	GitHub or Google sign-in	Trying it end-to-end in 30 seconds
Self-host	Quick Start below	Docker, ~15 min first build	Full control, air-gapped, heavy use

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

bash

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:

Setting	Value	Why
Function Calling	`Native`	Required for Computer Use tools to work
Stream Chat Response	`On`	Enables real-time output streaming

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

What's Inside the Sandbox

Sandbox Contents

Category	Tools
Languages	Python 3.12, Node.js 22, Java 21, Bun
Documents	LibreOffice, Pandoc, python-docx, python-pptx, openpyxl
PDF	pypdf, pdf-lib, reportlab, tabula-py, ghostscript
Images	Pillow, OpenCV, ImageMagick, sharp, librsvg
Web	Playwright (Chromium), Mermaid CLI
AI	Claude Code CLI, Playwright MCP
OCR	Tesseract (configurable languages)
Media	FFmpeg
Diagrams	Graphviz, Mermaid
Dev	TypeScript, tsx, git

Read the full README →View source on GitHub →

Related MCP Servers

View all in Cloud Platforms View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

123

Stargazers on the source repository.

Last commit

11d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Open Computer Use

Open Computer Use is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "open-computer-use": { "url": "http://localhost:8081/mcp" } }

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Technical Specs & Signals

CategoryCloud Platforms

4/5 checks healthy over the last 46d

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity8/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Explore more

More in ☁️ Cloud Platforms →Best MCP servers for Cloud Platforms →Best Docker MCP servers →Alternatives to Open Computer Use →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Open Computer Use

Give any LLM its own computer — Docker sandboxes with bash, browser, docs, and sub-agents

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "open-computer-use": {
      "url": "http://localhost:8081/mcp"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Open Computer Use

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!

Demo: Qwen 3.6 Plus scrapes GitHub Trending, builds an Excel chart, and ships an editorial web dashboard — all in one chat

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

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

Browser Viewer

File preview with skills

File Preview

Frontend design — landing page rendered live in the browser tab

Roasthaus landing page generated by the frontend-design skill, rendered live next to the chat

Presentations — custom design system, not the default white template

BrewLoop investor pitch deck slide with stat cards and a bar chart in a coffee-inspired palette

Build your own skills — package recurring work into reusable functions

invoice-builder skill demonstrating itself: usage code on the left, generated PDF on the right

Data → chart with analysis

SaaS user-growth chart with annotated inflection point and written analysis

Claude Code — interactive terminal in the cloud

Claude Code Terminal

Sub-agent dashboard — monitor and control

Sub-Agent Dashboard

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

Path	URL	What you need	Best for
Free online demo — Open WebUI + Computer Use, models included	lab.widemoat.ai	GitHub or Google sign-in	Trying it end-to-end in 30 seconds
Self-host	Quick Start below	Docker, ~15 min first build	Full control, air-gapped, heavy use

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

bash

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:

Setting	Value	Why
Function Calling	`Native`	Required for Computer Use tools to work
Stream Chat Response	`On`	Enables real-time output streaming

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

What's Inside the Sandbox

Sandbox Contents

Category	Tools
Languages	Python 3.12, Node.js 22, Java 21, Bun
Documents	LibreOffice, Pandoc, python-docx, python-pptx, openpyxl
PDF	pypdf, pdf-lib, reportlab, tabula-py, ghostscript
Images	Pillow, OpenCV, ImageMagick, sharp, librsvg
Web	Playwright (Chromium), Mermaid CLI
AI	Claude Code CLI, Playwright MCP
OCR	Tesseract (configurable languages)
Media	FFmpeg
Diagrams	Graphviz, Mermaid
Dev	TypeScript, tsx, git

Read the full README →View source on GitHub →

Related MCP Servers

View all in Cloud Platforms View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

123

Stargazers on the source repository.

Last commit

11d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Open Computer Use

Open Computer Use is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "open-computer-use": { "url": "http://localhost:8081/mcp" } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/open-computer-use?style=directory)](https://allmcps.com/mcp/open-computer-use)

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<a href="https://allmcps.com/mcp/open-computer-use"><img src="https://allmcps.com/api/badge/open-computer-use?style=directory" alt="Open Computer Use on AllMCPs" /></a>

Technical Specs & Signals

CategoryCloud Platforms

4/5 checks healthy over the last 46d

45Quality signal: Fair · 45/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity8/15

Community engagement0/10

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.