Content
<div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" alt="Cua logo" height="150" srcset="img/logo_white.png">
<source media="(prefers-color-scheme: light)" alt="Cua logo" height="150" srcset="img/logo_black.png">
<img alt="Cua logo" height="150" src="img/logo_black.png">
</picture>
[](#)
[](#)
[](#)
[](https://discord.com/invite/mVnXXpdE85)
<br>
<a href="https://trendshift.io/repositories/13685" target="_blank"><img src="https://trendshift.io/api/badge/repositories/13685" alt="trycua%2Fcua | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
**cua** ("koo-ah") is Docker for [Computer-Use Agents](https://www.oneusefulthing.org/p/when-you-give-a-claude-a-mouse) - it enables AI agents to control full operating systems in virtual containers and deploy them locally or to the cloud.
<div align="center">
<video src="https://github.com/user-attachments/assets/c619b4ea-bb8e-4382-860e-f3757e36af20" width="600" controls></video>
</div>
With the Computer SDK, you can:
- automate Windows, Linux, and macOS VMs with a consistent, [pyautogui-like API](https://docs.trycua.com/docs/libraries/computer#interface-actions)
- create & manage VMs [locally](https://docs.trycua.com/docs/computer-sdk/computers#cua-local-containers) or using [cua cloud](https://www.trycua.com/)
With the Agent SDK, you can:
- run computer-use models with a [consistent output](https://docs.trycua.com/docs/agent-sdk/chat-history#message-array-structure)
- run composed agents using UI grounding models and any LLM
- use any liteLLM provider (`openai/`, `openrouter/`, etc.) or our included local providers (`huggingface-local/`, `mlx/`)
- quickly evaluate new UI agent models and UI grounding models
- `anthropic/claude-opus-4-1-20250805` (using [Computer-Use Models](https://docs.trycua.com/docs/agent-sdk/supported-agents/computer-use-agents))
- `openai/computer-use-preview`
- `openrouter/z-ai/glm-4.5v`
- `huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B`
- `omniparser+{any LLM}` (using [Composed Agents](https://docs.trycua.com/docs/agent-sdk/supported-agents/composed-agents))
- `huggingface-local/HelloKKMe/GTA1-7B+{any LLM}`
- `huggingface/HelloKKMe/GTA1-32B+{any LLM}`
- `vllm_hosted/HelloKKMe/GTA1-72B+{any LLM}`
- `human/human` (using [Human-in-the-Loop](https://docs.trycua.com/docs/agent-sdk/supported-agents/human-in-the-loop))
- benchmark on OSWorld-Verified, SheetBench-V2, and more [with a single line of code using HUD](https://docs.trycua.com/docs/agent-sdk/integrations/hud) ([Notebook](https://github.com/trycua/cua/blob/main/notebooks/eval_osworld.ipynb))
Missing a model? [Raise a feature request](https://github.com/trycua/cua/issues/new?assignees=&labels=enhancement&projects=&title=%5BAgent%5D%3A+Add+model+support+for+) or [contribute](https://github.com/trycua/cua/blob/main/CONTRIBUTING.md)!
<br/>
# Quick Start
- [Get started with a Computer-Use Agent UI](https://docs.trycua.com/docs/quickstart-ui)
- [Get started with the Computer-Use Agent CLI](https://docs.trycua.com/docs/quickstart-cli)
- [Get Started with the Python SDKs](https://docs.trycua.com/docs/quickstart-devs)
<br/>
# Usage ([Docs](https://docs.trycua.com/docs))
```bash
pip install cua-agent[all]
```
```python
from agent import ComputerAgent
agent = ComputerAgent(
model="anthropic/claude-3-5-sonnet-20241022",
tools=[computer],
max_trajectory_budget=5.0
)
messages = [{"role": "user", "content": "Take a screenshot and tell me what you see"}]
async for result in agent.run(messages):
for item in result["output"]:
if item["type"] == "message":
print(item["content"][0]["text"])
```
### Output format (OpenAI Agent Responses Format):
```json
{
"output": [
# user input
{
"role": "user",
"content": "go to trycua on gh"
},
# first agent turn adds the model output to the history
{
"summary": [
{
"text": "Searching Firefox for Trycua GitHub",
"type": "summary_text"
}
],
"type": "reasoning"
},
{
"action": {
"text": "Trycua GitHub",
"type": "type"
},
"call_id": "call_QI6OsYkXxl6Ww1KvyJc4LKKq",
"status": "completed",
"type": "computer_call"
},
# second agent turn adds the computer output to the history
{
"type": "computer_call_output",
"call_id": "call_QI6OsYkXxl6Ww1KvyJc4LKKq",
"output": {
"type": "input_image",
"image_url": "data:image/png;base64,..."
}
},
# final agent turn adds the agent output text to the history
{
"type": "message",
"role": "assistant",
"content": [
{
"text": "Success! The Trycua GitHub page has been opened.",
"type": "output_text"
}
]
}
],
"usage": {
"prompt_tokens": 150,
"completion_tokens": 75,
"total_tokens": 225,
"response_cost": 0.01,
}
}
```
# Computer ([Docs](https://docs.trycua.com/docs/computer-sdk/computers))
```bash
pip install cua-computer[all]
```
```python
from computer import Computer
async with Computer(
os_type="linux",
provider_type="cloud",
name="your-container-name",
api_key="your-api-key"
) as computer:
# Take screenshot
screenshot = await computer.interface.screenshot()
# Click and type
await computer.interface.left_click(100, 100)
await computer.interface.type("Hello!")
```
# Resources
- [How to use the MCP Server with Claude Desktop or other MCP clients](./libs/python/mcp-server/README.md) - One of the easiest ways to get started with Cua
- [How to use OpenAI Computer-Use, Anthropic, OmniParser, or UI-TARS for your Computer-Use Agent](./libs/python/agent/README.md)
- [How to use Lume CLI for managing desktops](./libs/lume/README.md)
- [Training Computer-Use Models: Collecting Human Trajectories with Cua (Part 1)](https://www.trycua.com/blog/training-computer-use-models-trajectories-1)
## Modules
| Module | Description | Installation |
|--------|-------------|---------------|
| [**Lume**](./libs/lume/README.md) | VM management for macOS/Linux using Apple's Virtualization.Framework | `curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh \| bash` |
| [**Lumier**](./libs/lumier/README.md) | Docker interface for macOS and Linux VMs | `docker pull trycua/lumier:latest` |
| [**Computer (Python)**](./libs/python/computer/README.md) | Python Interface for controlling virtual machines | `pip install "cua-computer[all]"` |
| [**Computer (Typescript)**](./libs/typescript/computer/README.md) | Typescript Interface for controlling virtual machines | `npm install @trycua/computer` |
| [**Agent**](./libs/python/agent/README.md) | AI agent framework for automating tasks | `pip install "cua-agent[all]"` |
| [**MCP Server**](./libs/python/mcp-server/README.md) | MCP server for using CUA with Claude Desktop | `pip install cua-mcp-server` |
| [**SOM**](./libs/python/som/README.md) | Self-of-Mark library for Agent | `pip install cua-som` |
| [**Computer Server**](./libs/python/computer-server/README.md) | Server component for Computer | `pip install cua-computer-server` |
| [**Core (Python)**](./libs/python/core/README.md) | Python Core utilities | `pip install cua-core` |
| [**Core (Typescript)**](./libs/typescript/core/README.md) | Typescript Core utilities | `npm install @trycua/core` |
## Community
Join our [Discord community](https://discord.com/invite/mVnXXpdE85) to discuss ideas, get assistance, or share your demos!
## License
Cua is open-sourced under the MIT License - see the [LICENSE](LICENSE) file for details.
Microsoft's OmniParser, which is used in this project, is licensed under the Creative Commons Attribution 4.0 International License (CC-BY-4.0) - see the [OmniParser LICENSE](https://github.com/microsoft/OmniParser/blob/master/LICENSE) file for details.
## Contributing
We welcome contributions to CUA! Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for details.
## Trademarks
Apple, macOS, and Apple Silicon are trademarks of Apple Inc. Ubuntu and Canonical are registered trademarks of Canonical Ltd. Microsoft is a registered trademark of Microsoft Corporation. This project is not affiliated with, endorsed by, or sponsored by Apple Inc., Canonical Ltd., or Microsoft Corporation.
## Stargazers
Thank you to all our supporters!
[](https://starchart.cc/trycua/cua)
## Contributors
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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<table>
<tbody>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/f-trycua"><img src="https://avatars.githubusercontent.com/u/195596869?v=4?s=100" width="100px;" alt="f-trycua"/><br /><sub><b>f-trycua</b></sub></a><br /><a href="#code-f-trycua" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="http://pepicrft.me"><img src="https://avatars.githubusercontent.com/u/663605?v=4?s=100" width="100px;" alt="Pedro Piñera Buendía"/><br /><sub><b>Pedro Piñera Buendía</b></sub></a><br /><a href="#code-pepicrft" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://iamit.in"><img src="https://avatars.githubusercontent.com/u/5647941?v=4?s=100" width="100px;" alt="Amit Kumar"/><br /><sub><b>Amit Kumar</b></sub></a><br /><a href="#code-aktech" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://productsway.com/"><img src="https://avatars.githubusercontent.com/u/870029?v=4?s=100" width="100px;" alt="Dung Duc Huynh (Kaka)"/><br /><sub><b>Dung Duc Huynh (Kaka)</b></sub></a><br /><a href="#code-jellydn" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="http://zaydkrunz.com"><img src="https://avatars.githubusercontent.com/u/70227235?v=4?s=100" width="100px;" alt="Zayd Krunz"/><br /><sub><b>Zayd Krunz</b></sub></a><br /><a href="#code-ShrootBuck" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/PrashantRaj18198"><img src="https://avatars.githubusercontent.com/u/23168997?v=4?s=100" width="100px;" alt="Prashant Raj"/><br /><sub><b>Prashant Raj</b></sub></a><br /><a href="#code-PrashantRaj18198" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://www.mobile.dev"><img src="https://avatars.githubusercontent.com/u/847683?v=4?s=100" width="100px;" alt="Leland Takamine"/><br /><sub><b>Leland Takamine</b></sub></a><br /><a href="#code-Leland-Takamine" title="Code">💻</a></td>
</tr>
<tr>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/ddupont808"><img src="https://avatars.githubusercontent.com/u/3820588?v=4?s=100" width="100px;" alt="ddupont"/><br /><sub><b>ddupont</b></sub></a><br /><a href="#code-ddupont808" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/Lizzard1123"><img src="https://avatars.githubusercontent.com/u/46036335?v=4?s=100" width="100px;" alt="Ethan Gutierrez"/><br /><sub><b>Ethan Gutierrez</b></sub></a><br /><a href="#code-Lizzard1123" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://ricterz.me"><img src="https://avatars.githubusercontent.com/u/5282759?v=4?s=100" width="100px;" alt="Ricter Zheng"/><br /><sub><b>Ricter Zheng</b></sub></a><br /><a href="#code-RicterZ" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://www.trytruffle.ai/"><img src="https://avatars.githubusercontent.com/u/50844303?v=4?s=100" width="100px;" alt="Rahul Karajgikar"/><br /><sub><b>Rahul Karajgikar</b></sub></a><br /><a href="#code-rahulkarajgikar" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/trospix"><img src="https://avatars.githubusercontent.com/u/81363696?v=4?s=100" width="100px;" alt="trospix"/><br /><sub><b>trospix</b></sub></a><br /><a href="#code-trospix" title="Code">💻</a></td>
<td align="center" valign="top" width="14.28%"><a href="https://github.com/evnsnclr"><img src="https://avatars.githubusercontent.com/u/139897548?v=4?s=100" width="100px;" alt="Evan smith"/><br /><sub><b>Evan smith</b></sub></a><br /><a href="#code-evnsnclr" title="Code">💻</a></td>
</tr>
</tbody>
</table>
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