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Cua

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and eva

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Price

Free

No login needed

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

Build, benchmark, and deploy agents that use computers

Choose Your Path

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.

sh
pip install cua

-->

python
# 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 containerLinux VMmacOSWindowsAndroidBYOI (.qcow2, .iso)
Cloud (cua.ai)🔜 soon
Local (QEMU)

[Get Started](https://cua.ai/docs/cua/guide/get-started/set-up-sandbox) | [Examples](https://cua.ai/docs/cua/examples) | [API Reference](https://cua.ai/docs/cua/reference/agent-sdk)

CuaBot - Co-op computer-use for any agent

cuabot gives any coding agent a seamless sandbox for computer-use. Individual windows appear natively on your desktop with H.265, shared clipboard, and audio.

bash
npx cuabot                 # Setup onboarding
bash
# Run any agent in a sandbox
cuabot claude              # Claude Code
cuabot openclaw            # OpenClaw in the sandbox

# Run any GUI workflow in a sandbox
cuabot chromium
cuabot --screenshot
cuabot --type "hello"
cuabot --click   [button]

Built-in support for agent-browser and agent-device (iOS, Android) out of the box.

[Get Started](https://cua.ai/docs/cuabot/guide/getting-started/introduction) | [Installation](https://cua.ai/docs/cuabot/guide/getting-started/installation) | First spotted at ClawCon

Cua-Bench - Benchmarks & RL Environments

Evaluate computer-use agents on OSWorld, ScreenSpot, Windows Arena, and custom tasks. Export trajectories for training.

-->

bash
# Install and create base image
cd cua-bench
uv tool install -e . && cb image create linux-docker

Don't lose this

Three weeks from now, you'll want Cua again. Will you remember where to find it?

Save it to your library and the next time you need Cua, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and eva. Best for anyone looking to make their AI assistant more capable in devops & monitoring. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from GitHub

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