cua (trycua) Review 2026: Open-Source Infrastructure for Computer-Use AI Agents

cua by trycua is free, open-source infrastructure for computer-use AI agents — sandboxes, SDKs, and benchmarks for agents that control full desktops (macOS, Lin

Computer-use AI agents — agents that can see a screen and control a desktop — are one of the most exciting frontiers in applied AI. Building and evaluating these agents reliably requires specialised infrastructure: sandboxed environments, robust SDKs, and standardised benchmarks. cua by trycua provides all of this as open-source software.

cua is an open-source infrastructure project developed by trycua on GitHub. It provides everything needed to build, run, and evaluate AI agents that can control full desktop environments — not just web browsers, but native applications on macOS, Linux, and Windows.

The name stands for Computer-Use Agent, and the project comprises several components: Cua (the agent SDK), Cua Drivers (tools for giving coding agents computer capabilities), Cua Bench (evaluation framework), and Lume (macOS VM management).

cua spins up isolated desktop environments — full operating systems running in VMs — that agents can control safely without affecting your host machine. This is essential for evaluating agents on tasks that involve real applications.

cua supports agents running on macOS, Linux, and Windows desktops. The same SDK and CLI work across all three platforms.

cua provides the same CLI and MCP server on macOS and Windows, compatible with Claude Code, Cursor, Codex, and custom clients. This means you can use cua agents from your existing AI coding workflow.

Agents can drive native desktop applications in the background — clicking, typing, and verifying results without stealing the cursor or interrupting your work.

The Cua Bench framework lets you evaluate computer-use agents on OSWorld, ScreenSpot, Windows Arena, and custom task sets. Evaluation trajectories can be exported for training new models.

cua works with any vision-capable AI model — Claude, GPT-4V, Gemini, and open-source alternatives.

cua is for AI researchers building and evaluating computer-use agents, developers who want to automate native desktop workflows with AI, and teams exploring agentic AI infrastructure. It is a technical tool for technical users.

Free. Available at github.com/trycua/cua. API costs depend on your chosen model provider.

cua is the most comprehensive open-source infrastructure available for building and evaluating computer-use AI agents. If you are working in this space — building agents, evaluating models, or automating desktop workflows — it is the best starting point available for free.

Rating: 8/10 — Best open-source computer-use agent infrastructure available. High technical complexity and compute requirements limit accessibility.

This article is for educational purposes only. Always evaluate open-source tools against your own requirements before deploying to production.

Explore curated AI, automation, wealth, and creator tools selected for practical value, transparent pricing, and clear use cases.