Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops.
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The GitHub presence of trycua showcases a wide range of repositories focused on open-source infrastructure for Computer-Use Agents. Notable projects include cua, a comprehensive framework for training AI agents, and pylume, a library for managing virtual machines. The organization primarily utilizes Python, TypeScript, and JavaScript in its development efforts.
Top languages
Public repositories
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).
acu
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
launchpad
No description provided for this repository.
pylume
A lightweight Python library to create, run and manage macOS and Linux virtual machines (VMs) natively on Apple Silicon.
packer-plugin-lume
Packer plugin for Lume
agent-template
A sample use of Cua Python SDK for running an agent on a cloud sandbox
openai-cua-sample-app
Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments.
noVNC
VNC client web application
videos
No description provided for this repository.
openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
windows-local
Windows inside a Docker container.
homebrew-lume
No description provided for this repository.
hermes-agent
The agent that grows with you
temporal-ai-agent
This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow.
guacamole-gateway
Node.js library for creating Guacamole-compatible servers. Guacamole is a RDP/VNC/SSH/Telnet client for HTML5 browsers.
qemu-local
QEMU in a Docker container.
ai-gradio
A Python package that makes it easy for developers to create AI apps powered by various AI providers.
system-manager-test
Test config for comin system-manager deployment on non-NixOS Linux
incus
Powerful system container and virtual machine manager
desktop-test-app-electron
Electron companion to desktop-test-app — loads arbitrary URLs for cua-sandbox MITM proxy integration tests
desktop-test-app
Desktop input event logger for cua-sandbox integration tests
system-manager
Manage system config using nix on any distro
comin
GitOps For NixOS Machines
freerdp-html5
A gateway for seamless access to your RDP-Sessions in any HTML5-compliant browser
pwa2apk
Convert PWA manifest URLs to native-looking Android APKs using WebView (no Chrome TWA banners)
android-example-gym-pwa-app
Todo-list PWA gym for agent evaluation — installable as Android TWA
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
android-touch-test-app
TouchTest APK for CUA Android multi-touch integration tests
ws-scrcpy
Web client prototype for scrcpy.
vgrad
Procedural color gradients using Perlin noise mapped through harmonic music interval ratios
Frequently asked questions
What does trycua build on GitHub?
Trycua builds open-source tools and infrastructure for Computer-Use Agents. Their repositories include frameworks, libraries, and resources that facilitate the training and evaluation of AI agents across different operating systems.
Which programming languages does trycua use?
Trycua primarily uses Python, TypeScript, and JavaScript in its GitHub projects. These languages support the development of various tools, including sandboxes and SDKs for AI agents.
Are trycua's repositories public?
Yes, trycua's repositories are public on GitHub. This openness allows developers and researchers to access and contribute to their projects focused on AI agents and related technologies.
Is this exposure intended?
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