What is Cua Agent?
Cua (pronounced “koo‑ah”, short for Computer‑Use Agent) is an open‑source framework that provides high‑performance virtualization and a computer‑use interface for AI systems to securely interact with desktop applications.
@trycua
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cua-agent": {
"command": "/bin/bash",
"args": [
"/Users/francescobonacci/.cua/start_mcp_server.sh"
],
"env": {
"CUA_AGENT_LOOP": "OMNI",
"CUA_MODEL_PROVIDER": "ANTHROPIC",
"CUA_MODEL_NAME": "claude-3-7-sonnet-20250219",
"ANTHROPIC_API_KEY": "your-api-key"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Cua Agent is an open‑source framework that combines high‑performance virtualization with AI agent capabilities, enabling secure, isolated environments for AI systems to interact with desktop applications. It offers a computer‑use interface for AI observation and control, running macOS or Linux virtual machines on Apple Silicon with near‑native performance.
Install the Lume CLI via the provided install script, then install the Python libraries with pip install cua-computer cua-agent[all]. Use the library in Python code by creating a Computer and ComputerAgent, then calling agent.run(tasks). An optional Gradio UI is available for interactive use.
Cua (pronounced “koo‑ah”, short for Computer‑Use Agent) is an open‑source framework that provides high‑performance virtualization and a computer‑use interface for AI systems to securely interact with desktop applications.
A Mac with Apple Silicon (M1/M2/M3/M4 series), macOS 14 (Sonoma) or newer, Python 3.10+, and at least 40 GB of disk space for VM images.
For full capabilities, install the Lume CLI using the script in the README and then run `pip install cua-computer cua-agent[all]`. Optionally, use the Gradio UI by running the provided Python code snippet.
The agent framework supports OpenAI and Anthropic providers (examples use `LLMProvider.OPENAI` and `LLMProvider.ANTHROPIC`).
Join the [Cua Discord community](https://discord.com/invite/mVnXXpdE85) for assistance and to share demos. Contributions are welcome via the Contributing Guidelines.
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