Skip to content
← Tools / Skills
Skill · .md packageCua AI/10 trustVerified
Cua logo

Cua

Open-source infrastructure for computer-use AI agents: drivers, sandboxes, benchmarks.

Visit official site →

About

Cua (trycua/cua, MIT, YC X25, ~21–28k stars) is the open-source infrastructure suite for computer-use agents — the 'body' that lets an AI 'brain' like Claude or GPT-4 see a screen, move the mouse, and type across macOS, Windows, Linux, and Android. It bundles five pieces: cua-driver (background desktop control that doesn't steal your cursor or focus, exposed over CLI and MCP), cua-sandbox (ephemeral VMs and cloud desktop fleets via run.cua.ai), Lume (near-native macOS virtualization on Apple Silicon), cua-agent (the agent SDK), and cua-bench (benchmarks on OSWorld/ScreenSpot/Windows Arena plus RL trajectory export).

It is infrastructure, not a finished agent: you still bring the model, the prompts, and the task logic, and cloud fleets are paid capacity pools that need cleanup discipline to avoid ongoing charges. Its differentiator is the benchmark suite — no other open computer-use framework ships evaluation and training-trajectory tooling in the same repo.

What it can do

  • Cross-OS background desktop driver (CLI + MCP)
  • Ephemeral local VMs and cloud desktop fleets
  • Lume macOS virtualization on Apple Silicon
  • Agent SDK for computer-use tasks
  • cua-bench evaluation and RL trajectory export
  • CuaBot co-op mode streaming agent windows to your desktop

Setup

Install the driver with the one-line installer (curl https://cua.ai/driver/install.sh on macOS/Linux, PowerShell on Windows); pip install cua for the sandbox SDK. Tell Claude Code, Cursor, or Codex to integrate it via the MCP server.

Prerequisites

Python 3.12+ for the SDK; Apple Silicon for Lume macOS VMs; cloud account for Fleets sandboxes.

Use cases

computer-useai-agentsautomation

Works with

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 58; Trending score 88/100 from researcher assessment.

★ 24,000 GitHub stars

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.