What platforms does Cua support?

Cua is specifically designed for macOS running on Apple Silicon (M1+) processors. It supports creating both macOS and Linux sandbox environments.

What are the main components of Cua?

Cua consists of three main components: 1) Lume - a virtualization layer for running macOS & Linux sandboxes, 2) Computer - a Computer Use Interface (CUI) framework for interacting with sandboxes, and 3) Agent - a Computer Use AI Agent (CUA) for multi-app workflows.

Does Cua support AI models?

Yes, Cua supports both local AI models (through Ollama) and cloud models for its Computer Use AI Agent (CUA) functionality.

How can I get started with Cua?

You can get started by first reviewing the Computer documentation for core sandbox functionality, then exploring the Agent documentation for AI capabilities, and finally working through the Notebook examples. The project is available on GitHub and has a Discord community for support.

Yes, Cua provides secure, isolated environments for AI systems to interact with desktop applications, utilizing sandboxed VMs for enhanced security.

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Cua is an open-source framework that combines high-performance virtualization with AI agent capabilities to enable secure, isolated macOS and Linux sandbox environments on Apple Silicon with near-native performance.

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更新于：2025年05月16日

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什么是 Cua

Cua (pronounced 'koo-ah') is a comprehensive framework designed specifically for Apple Silicon machines that provides virtualization and AI agent capabilities for desktop applications. It consists of three main components: Lume (virtualization layer), Computer (Computer Use Interface framework), and Agent (Computer Use AI Agent). The framework allows users to create and run local macOS and Linux sandboxes while enabling AI systems to interact securely with desktop applications through its computer-use interface and AI agent capabilities.

Cua 的主要功能

Cua is an open-source framework that combines high-performance virtualization with AI agent capabilities to create and run secure, isolated macOS and Linux sandboxes on Apple Silicon machines. It features a computer-use interface (CUI) for sandbox interaction, supports multiple AI model providers (both local and cloud-based), and enables automated multi-app workflows through its Computer-Use Agent (CUA) system.

Native Virtualization Performance: Leverages Apple's Virtualization Framework to provide near-native performance for macOS and Linux virtual machines on Apple Silicon

Flexible AI Integration: Supports multiple AI providers including OpenAI, Anthropic, Groq, DeepSeek, Qwen, and local models through Ollama

Secure Sandbox Environment: Provides isolated environments for secure application testing and AI system interactions

PyAutoGUI Compatibility: Offers a Computer Use Interface (CUI) framework that's compatible with PyAutoGUI and can be integrated with various AI agent systems

Cua 的使用场景

AI Development and Testing: Developers can create and test AI agents in isolated environments without risking their main system

Automated Workflow Testing: QA teams can automate testing of multi-app workflows in isolated environments

Cross-Platform Development: Developers can run and test applications across different operating systems (macOS and Linux) on Apple Silicon machines

优点

High performance with near-native speed on Apple Silicon

Robust security through sandboxing

Flexible integration with various AI models and providers

缺点

Limited to Apple Silicon machines only

Currently in early preview stage for some features

如何使用 Cua

System Requirements Check: Ensure you have a Mac with Apple Silicon (M1 or newer) processor, as Cua only works on Apple Silicon Macs

Installation: Run the installation script in terminal: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"

Set Up Computer Sandbox: Start with the Computer documentation to understand and set up the core Computer sandbox functionality which provides isolated environments

Configure Agent: Review the Agent documentation to set up the AI agent capabilities - you can use local models via Ollama or cloud models like OpenAI

Create Computer Instance: In your code, create a Computer instance using: async with Computer() as macos_computer:

Initialize Agent: Create an agent instance with: agent = ComputerAgent(computer=macos_computer, loop=AgentLoop.OPENAI, model=LLM(provider=LLMProvider.OPENAI))

Define Tasks: Create a list of tasks for the agent to perform - these can include browser interactions, using applications, writing code etc.

Execute Tasks: Run tasks through the agent using: async for result in agent.run(task): print(result)

Monitor Results: The agent will provide structured output through AgentResponse class containing response, reasoning, and tool usage details

Join Community: Join the Cua Discord community to get assistance, share demos and discuss ideas for improvements

Cua 常见问题

Cua is an open-source framework that combines high-performance virtualization with AI agent capabilities. It allows users to create and run local macOS and Linux sandboxes with near-native performance on Apple Silicon, featuring a computer-use interface (CUI) and a computer-use AI agent (CUA) for multi-app workflow automation.