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trycua avatar

trycua/cua

0
View on GitHub↗
18,720 stars·1,210 forks·HTML·MIT·23 viewscua.ai↗

Cua

Cua is an agent benchmarking and desktop automation platform designed to evaluate autonomous agents and execute repetitive tasks within isolated, virtualized environments. It provides a framework for provisioning consistent workspaces and measuring agent performance against standardized desktop operations.

The platform distinguishes itself by integrating virtual machine orchestration with headless interaction capabilities. By leveraging hypervisor-based virtualization, it runs operating systems at near-native speeds, while its automation layer injects commands directly into application processes to perform data extraction and form filling without requiring active window focus or physical input devices.

The system supports the full lifecycle of agent development, from infrastructure-as-code workspace provisioning to the collection of verified interaction logs. These logs enable the benchmarking of agent decision-making accuracy and the refinement of automated workflows through deterministic execution analysis.

Features

  • Desktop Automation Frameworks - Automates desktop application tasks through isolated virtualized environments and sandboxes.
  • AI Agent Benchmarks - Benchmarks autonomous agent performance and accuracy against standardized tasks.
  • Virtual Machine Managers - Orchestrates virtual machines to provide consistent workspaces for automated software agents.
  • Agent Sandboxes - Provisions secure, isolated sandboxes for consistent agent execution.
  • Desktop Automation - Automates repetitive desktop workflows and data extraction tasks without manual input.
  • Benchmarking Suites - Standardizes environments for evaluating agent performance and decision-making accuracy.
  • Performance Benchmarking - Measures agent effectiveness against standardized tasks using verified interaction logs.
  • Virtual Machine Management Tools - Manages macOS and Linux virtual machines for development and testing tasks.
  • AI & Machine Learning - Computer-use agent execution
  • Computer Use - Docker-based environment for computer-use agents.
  • Headless Interaction Tools - Executes GUI operations programmatically without requiring an active display or mouse cursor.
  • Virtual Machines - Runs virtual machines at near-native speeds for efficient system resource management.
  • Hardware-Accelerated Hypervisors - Leverages hardware-accelerated virtualization to run isolated operating systems at near-native speeds.
  • Process-Level Input Injectors - Simulates user interactions by injecting commands directly into application processes.
  • Containerized and Isolated Workspaces - Provides isolated, containerized workspaces for consistent agent execution environments.
  • Infrastructure as Code - Uses declarative configuration files to provision ephemeral and reproducible workspaces.

Star history

Star history chart for trycua/cuaStar history chart for trycua/cua

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does trycua/cua do?

Cua is an agent benchmarking and desktop automation platform designed to evaluate autonomous agents and execute repetitive tasks within isolated, virtualized environments. It provides a framework for provisioning consistent workspaces and measuring agent performance against standardized desktop operations.

What are the main features of trycua/cua?

The main features of trycua/cua are: Desktop Automation Frameworks, AI Agent Benchmarks, Virtual Machine Managers, Agent Sandboxes, Desktop Automation, Benchmarking Suites, Performance Benchmarking, Virtual Machine Management Tools.

Which projects share features with trycua/cua?

Projects with overlapping indexed features include: simular-ai/agent-s — Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through… lima-vm/lima — Lima is a virtualization engine designed to provision and manage lightweight Linux, macOS, and FreeBSD virtual… xlang-ai/osworld — OSWorld is an evaluation framework and multimodal agent benchmark designed to test the ability of large language… insidegui/virtualbuddy — VirtualBuddy is a graphical user interface and manager for creating and running macOS virtual machines on Apple… bytebot-ai/bytebot — Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and… e2b-dev/open-computer-use — Open-computer-use is a framework designed to connect vision-capable language models to isolated cloud-based desktop…