Cua

Cua

macOS and Linux containers optimized for AI agents on Apple Silicon, delivering near-native performance.

About Cua

c/ua offers macOS and Linux containers designed for AI agent deployment on Apple Silicon devices. It utilizes Lume, a virtualization layer that enables near-native performance by running macOS and Linux VMs within containers, leveraging Apple's Virtualization Framework. The platform provides a Computer Use Interface (CUI) for automated control, compatible with PyAutoGUI, and a Computer-Use AI Agent (CUA) framework for executing RPA workflows across macOS and Linux, supporting various Vision Language Models through cloud or local deployment.

How to Use

Begin deploying AI agents on Apple Silicon by running Docker-based macOS and Linux containers. Schedule a demo or view tutorials to explore platform features. Use the integrated virtualization layer (Lume), the Computer Use Interface (CUI), and the CUA framework. Simplify integration with the SDK or Gradio user interface.

Features

Supports cross-platform automation workflows
Includes a Computer-Use AI Agent (CUA) framework for RPA tasks
Runs macOS virtual machines via Docker
Integrates MCP Server for controlling Cursor, Claude Desktop, and other MCP clients
Enables multi-provider AI control solutions
Provides macOS and Linux containers on Apple Silicon hardware
Offers a Computer Use Interface (CUI) for automation
Achieves near-native performance with Lume virtualization technology

Use Cases

Direct control of computers with Claude
Creating macOS virtual machines using Docker
Automating interactions with macOS and Linux applications
Streamlining tasks across multiple operating systems
Implementing agent-based RPA workflows

Best For

AI Software EngineersApplication DevelopersRPA ProfessionalsData AnalystsAutomation Specialists

Pros

Supports multiple AI models
Highly configurable environment
Facilitates AI-driven automation for desktop tasks
Compatible with macOS and Linux containers
Easy to integrate via SDK or Gradio UI
Delivers near-native performance on Apple Silicon

Cons

May require knowledge of Docker and virtualization technologies
Designed specifically for Apple Silicon devices
Pricing details are available upon request

Frequently Asked Questions

Find answers to common questions about Cua

What is Lume virtualization?
Lume is a virtualization layer that enables running macOS and Linux virtual machines within containers, offering near-native performance on Apple Silicon devices using Apple's Virtualization Framework.
What does CUI mean?
CUI, or Computer Use Interface, allows automated control of c/ua containers, supporting mouse, keyboard, and screen automation compatible with PyAutoGUI.
What is the CUA framework?
The Computer-Use AI Agent (CUA) framework enables running AI-driven RPA workflows on macOS and Linux, compatible with cloud or local Vision Language Models.
How do I integrate c/ua into my processes?
You can incorporate c/ua easily using the SDK or Gradio UI, facilitating quick setup and deployment.
Is c/ua compatible with all Apple Silicon Macs?
Yes, c/ua is designed specifically for Apple Silicon hardware, ensuring optimal performance and compatibility.