cua-workspace
Cua (Computer Use Agent) mono-repo
pinned to #688f107updated 2 weeks ago
Ask your AI client: “install mcps/cua-workspace”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install mcps/cua-workspacemetahub onboarded this repo on the author's behalf.
If you own github.com/trycua/cua on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
Stars
19,552
Last commit
2 weeks ago
Latest release
published
- #agent
- #ai-agent
- #apple
- #computer-use
- #computer-use-agent
- #containerization
- #cua
- #desktop-automation
- #hacktoberfest
- #lume
- #macos
- #manus
- #operator
- #swift
- #virtualization
- #virtualization-framework
- #windows
- #windows-sandbox
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.688f107· 2 weeks ago
Documentation
41Description qualitywarn
Only 5 words · 34 chars — more detail helps discovery
Tell consumers what this artifact does in a full sentence.
README is present and substantial
9,282 chars · 10 sections · 7 code blocks
Tags / topics declared
18 total — agent, ai-agent, apple, computer-use, computer-use-agent, containerization (+12)
README has usage / example sections
no labeled section but 7 code blocks document usage
Homepage / docs URL declared
https://cua.ai
Release history
1- releasecurrent688f107warn2 weeks ago
Contents
Choose Your Path
<table> <tr> <td colspan="3" align="center"> 
</td>
</tr>
<tr>
<td align="center">

</td>
<td align="center">

</td>
<td align="center">

</td>
</tr>
</table>
<strong>Building your own agent?</strong> Start with Cua ·
<strong>Giving a coding agent a computer?</strong> Cua Drivers ·
<strong>Evaluating or training models?</strong> Cua Bench ·
<strong>Need macOS VMs?</strong> Lume
Cua Drivers - Background computer-use on macOS and Windows, with Linux pre-release
Drive native desktop apps in the background. Agents click, type, and verify without stealing the cursor or focus. Use the same CLI and MCP server on macOS and Windows from Claude Code, Cursor, Codex, OpenClaw, and custom clients. Linux support is available as a pre-release backend while platform testing is still in progress.
macOS / Linux
/bin/bash -c "$(curl -fsSL https://cua.ai/driver/install.sh)"
Windows (PowerShell)
irm https://cua.ai/driver/install.ps1 | iex
Then wire it into Claude Code as an MCP server and your agent can drive the desktop in the background:
claude mcp add --transport stdio cua-driver -- cua-driver mcp
Full tool reference, architecture notes, and the optional agent skill pack live here: libs/cua-driver/README.md.
Cua - Agent-Ready Sandboxes for Any OS
Build agents that see screens, click buttons, and complete tasks autonomously. One API for any VM or container image — cloud or local.
pip install cua
# Requires Python 3.11 or later
from cua import Sandbox, Image
# Same API regardless of OS or runtime
async with Sandbox.ephemeral(Image.linux()) as sb: # or .macos() .windows() .android()
result = await sb.shell.run("echo hello")
screenshot = await sb.screenshot()
await sb.mouse.click(100, 200)
await sb.keyboard.type("Hello from Cua!")
await sb.mobile.gesture((100, 500), (100, 200)) # multi-touch gestures
| Linux container | Linux VM | macOS | Windows | Android | BYOI (.qcow2, .iso) | |
|---|---|---|---|---|---|---|
| Cloud (cua.ai) | ✅ | ✅ | ✅ | ✅ | ✅ | 🔜 soon |
| Local (QEMU) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
Get Started | Examples | API Reference
Cua-Bench - Benchmarks & RL Environments
Evaluate computer-use agents on OSWorld, ScreenSpot, Windows Arena, and custom tasks. Export trajectories for training.
# Clone, install, and create base image
git clone https://github.com/trycua/cua && cd cua/cua-bench
uv tool install -e . && cb image create linux-docker
# Run benchmark with agent
cb run dataset datasets/cua-bench-basic --agent cua-agent --max-parallel 4
Get Started | Partner With Us | Registry | CLI Reference
Lume - macOS Virtualization
Create and manage macOS/Linux VMs with near-native performance on Apple Silicon using Apple's Virtualization.Framework.
# Install Lume
/bin/bash -c "$(curl -fsSL https://cua.ai/lume/install.sh)"
# Create and start a vanilla macOS VM from an Apple restore image
curl -L "$(lume ipsw | tail -n 1)" -o ~/Downloads/macos-tahoe.ipsw
lume create macos-tahoe --ipsw ~/Downloads/macos-tahoe.ipsw --unattended tahoe
lume run macos-tahoe
The --unattended option prepares the installed guest offline. The built-in
sequoia and tahoe presets create the lume user, enable SSH, configure
autologin, and disable sleep and screen locking. The default credentials are
lume / lume.
The Tahoe flow is E2E verified. Sequoia may still open the Accessibility step of Setup Assistant on its first display boot; see issue #2155.
Get Started | FAQ | CLI Reference
Packages
| Package | Description |
|---|---|
| cua-driver | Background computer-use agent for macOS, Windows, and Linux |
| cua-agent | AI agent framework for computer-use tasks |
| cua-sandbox | SDK for creating and controlling sandboxes |
| cua-computer-server | Driver for UI interactions and code execution in sandboxes |
| cua-bench | Benchmarks and RL environments for computer-use |
| lume | macOS/Linux VM management on Apple Silicon |
| lumier | Docker-compatible interface for Lume VMs |
Resources
- Documentation — Guides, examples, and API reference
- Blog — Tutorials, updates, and research
- Discord — Community support and discussions
- GitHub Issues — Bug reports and feature requests
Contributing
We welcome contributions! See our Contributing Guidelines for details.
License
MIT License — see LICENSE for details.
Third-party components have their own licenses:
- Kasm (MIT)
- OmniParser (CC-BY-4.0)
- Optional
cua-agent[omni]includes ultralytics (AGPL-3.0)
Trademarks
Apple, macOS, Ubuntu, Canonical, and Microsoft are trademarks of their respective owners. This project is not affiliated with or endorsed by these companies.
Thank you to all our GitHub Sponsors!
Reviews
No reviews yet. Be the first.
Related
binance-mcp-server
Binance
@aisuite/chub
CLI for Context Hub - search and retrieve LLM-optimized docs and skills
Nanobot
A lightweight personal AI assistant framework
mh install mcps/cua-workspace