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  2. Organizations
  3. Cua
CuaOrganization

Cua

@trycua โ€ข Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops.. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

99%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

17 repositories updated in the last 90 days.

Leading language

Unknown

Portfolio mix

Unknown (11), Python (4), TypeScript (3)

Average size

663

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-06-01(3d ago)GitHub API fallback30 repositories

Portfolio Shape

99%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

663

stars per repository in this same snapshot.

Current Mix

Unknown

is the most common language here, with 17 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 88% of its visible star count.

Flagship share 88%Breakout repo: cua

Organization pages work best when you separate portfolio breadth from flagship concentration. In Cua's case, the visible top three repositories account for about 99% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Unknown (11), Python (4), TypeScript (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars๐Ÿด ForksUpdated
1trycua/cua

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

HTML17.6K1.1KToday
2trycua/acu

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

1.7K1248 months ago
3trycua/launchpadTypeScript499674 months ago
4trycua/pylume

A lightweight Python library to create, run and manage macOS and Linux virtual machines (VMs) natively on Apple Silicon.

Python6121 years ago
5trycua/packer-plugin-lume

Packer plugin for Lume

Go1491 years ago
6trycua/agent-template

A sample use of Cua Python SDK for running an agent on a cloud sandbox

Python807 months ago
7trycua/openai-cua-sample-app

Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments.

Python541 years ago
8trycua/videosTypeScript404 months ago
9trycua/noVNC

VNC client web application

JavaScript444 months ago
10trycua/openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. ๐Ÿฆž

203 weeks ago
11trycua/windows-local

Windows inside a Docker container.

Shell215 months ago
12trycua/homebrew-lumeRuby221 years ago
13trycua/hermes-agent

The agent that grows with you

Python103 days ago
14trycua/temporal-ai-agent

This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow.

102 months ago
15trycua/guacamole-gateway

Node.js library for creating Guacamole-compatible servers. Guacamole is a RDP/VNC/SSH/Telnet client for HTML5 browsers.

102 months ago
16trycua/qemu-local

QEMU in a Docker container.

Shell111 months ago
17trycua/ai-gradio

A Python package that makes it easy for developers to create AI apps powered by various AI providers.

121 years ago
18trycua/incus

Powerful system container and virtual machine manager

001 months ago
19trycua/system-manager-test

Test config for comin system-manager deployment on non-NixOS Linux

Nix004 weeks ago
20trycua/desktop-test-app-electron

Electron companion to desktop-test-app โ€” loads arbitrary URLs for cua-sandbox MITM proxy integration tests

JavaScript001 months ago
21trycua/system-manager

Manage system config using nix on any distro

001 months ago
22trycua/comin

GitOps For NixOS Machines

001 months ago
23trycua/freerdp-html5

A gateway for seamless access to your RDP-Sessions in any HTML5-compliant browser

004 years ago
24trycua/pwa2apk

Convert PWA manifest URLs to native-looking Android APKs using WebView (no Chrome TWA banners)

JavaScript002 months ago
25trycua/desktop-test-app

Desktop input event logger for cua-sandbox integration tests

Rust011 months ago
26trycua/android-example-gym-pwa-app

Todo-list PWA gym for agent evaluation โ€” installable as Android TWA

TypeScript002 months ago
27trycua/nanoclaw

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

002 months ago
28trycua/android-touch-test-app

TouchTest APK for CUA Android multi-touch integration tests

Java002 months ago
29trycua/ws-scrcpy

Web client prototype for scrcpy.

001 months ago
30trycua/vgrad

Procedural color gradients using Perlin noise mapped through harmonic music interval ratios

HTML003 months ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.