Cua
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.
https://www.trycua.com/?ref=aipure
Product Information
Updated:Jul 16, 2025
Cua Monthly Traffic Trends
Cua received 9.2k visits last month, demonstrating a Significant Decline of -20.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is 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.
Key Features of Cua
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
Use Cases of Cua
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
Pros
High performance with near-native speed on Apple Silicon
Robust security through sandboxing
Flexible integration with various AI models and providers
Cons
Limited to Apple Silicon machines only
Currently in early preview stage for some features
How to Use 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 FAQs
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.
Cua Video
Popular Articles
Grok release AI Companion—Ani & Rudi, with NSFW Features
Jul 16, 2025
SweetAI Chat vs HeraHaven: Find your Spicy AI Chatting App in 2025
Jul 10, 2025
SweetAI Chat vs Secret Desires: Which AI Partner Builder Is Right for You? | 2025
Jul 10, 2025
How to Create Viral AI Animal Videos in 2025: A Step-by-Step Guide
Jul 3, 2025
Analytics of Cua Website
Cua Traffic & Rankings
9.2K
Monthly Visits
#2158163
Global Rank
-
Category Rank
Traffic Trends: Feb 2025-Jun 2025
Cua User Insights
00:00:37
Avg. Visit Duration
1.8
Pages Per Visit
58.14%
User Bounce Rate
Top Regions of Cua
IN: 38.05%
US: 35.94%
IT: 20.57%
DE: 3.69%
TR: 1.75%
Others: 0%
Latest AI Tools Similar to Cua
invoices.dev
invoices.dev is an automated invoicing platform that generates invoices directly from developers' Git commits, with integration capabilities for GitHub, Slack, Linear, and Google services.
Monyble
Monyble is a no-code AI platform that enables users to launch AI tools and projects within 60 seconds without requiring technical expertise.
Devozy.ai
Devozy.ai is an AI-powered developer self-service platform that combines Agile project management, DevSecOps, multi-cloud infrastructure management, and IT service management into a unified solution for accelerating software delivery.
Mediatr
MediatR is a popular open-source .NET library that implements the Mediator pattern to provide simple and flexible request/response handling, command processing, and event notifications while promoting loose coupling between application components.
Popular AI Tools Like Cua
GitHub Copilot Chat
GitHub Copilot Chat is an AI-powered coding assistant that provides natural language interactions, real-time code suggestions, and contextual support directly within supported IDEs and GitHub.com.
Rememberall
Rememberall is a secure, open-source long-term memory solution that enables AI applications and GPT models to maintain persistent memory across conversations through semantic search and vector storage capabilities.
Upsonic
Upsonic is a reliability-focused AI agent framework with dockerized server-client architecture that enables trusted agent workflows through advanced features like verification layers, triangular architecture, and Model Context Protocol (MCP) integration.
GitHub MCP Server
GitHub MCP Server is a Model Context Protocol server that enables seamless integration between AI models and GitHub APIs, providing standardized tools for repository management, issue tracking, and code operations.