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
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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