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Cua

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Overview

Open-source computer-use tooling for desktop automation, cloud desktops, local macOS VMs, decision models, and agent benchmarks.

Cua is an open-source computer-use project for giving agents usable desktop environments and automation tools. The GitHub project describes support for desktop automation, isolated cloud desktops, local macOS VMs, specialist decision models, and benchmarks for evaluating computer-use agents. It is aimed at builders who want to bring their own agent and model, operate graphical applications, provision Linux desktops, run local macOS VMs, and evaluate agent behavior on simulated computer-use tasks.

Product overview

Capabilities, pricing and fit

Cua is distinctive as an open-source computer-use stack focused on giving agents desktop environments they can operate, rather than only exposing APIs or text tools. The repository positions it around open-source drivers, isolated cloud desktops, local macOS VMs, specialist decision models, and benchmarks for training, evaluation, and data generation.

Information as of September 22, 2026

What it can do

  • Desktop automation for agents

    The project describes Cua as providing open-source desktop automation and computer-use tooling that lets agents use graphical desktop environments.[1]

  • Isolated cloud desktops

    Cua includes Cua Fleets, described in the repository excerpt as a way to provision a Linux desktop, run a command, and save a screenshot.[1]

  • Local macOS VMs

    The README excerpt lists local macOS VMs and includes Lume as a path for creating a Tahoe VM and connecting over SSH.[1]

  • Specialist decision models

    The project references CUA-S1 as small, specialized models for computer-use decisions.[1]

  • Benchmarks for evaluation

    Cua Bench is described as supporting simulated task creation and verification for evaluating computer-use agents.[1]

  • Bring-your-own agent and model

    The official excerpt states that users can bring their own agent and model, with Cua providing the computer and automation tools.[1]

Where it fits best

  • Developers and research teams building or evaluating computer-use agents that need desktop automation, provisioned desktops, VM environments, or benchmark tasks.[1]
  • Teams that want to bring their own agent and model while using Cua to provide the computer environment and automation tools.[1]

Pricing and availability

The supplied official context shows a public GitHub repository described as open-source and displaying an MIT license. No separate hosted pricing details are provided in the supplied context.[1]

Platforms: GitHub, Linux desktop, macOS VM[1]

Access: open-source repository, local VM, cloud desktop[1]

Important considerations
  • The supplied context verifies the open-source GitHub project but does not provide detailed paid pricing, hosted-service limits, or commercial plan information for Cua Fleets.[1]
  • Cua is presented as infrastructure and tooling for computer-use agents, including an option to bring your own agent and model, so buyers looking for a fully packaged end-user assistant should evaluate fit carefully.[1]
Sources (1)
  1. GitHub - trycua/cua: Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.GitHub · checked 2026-09-22

Autonomy level

79/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Cua is an open-source framework explicitly designed to build computer-use agents (CUAs) that can autonomously operate full desktop operating systems via vision, language reasoning, and OS-level input control, which implies a high degree of task-level autonomy for agents built on top of it. These agents perceive the screen through screenshots or acc...

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Some of the use cases of Cua:

  • building computer-use agents
  • desktop automation experiments
  • agent evaluation and benchmarking
  • provisioning isolated desktops for agent workflows
  • testing GUI interaction tasks

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Popularity level: 87%

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