trycua/cua
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation. observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 99
- Release rhythm 87
- Longevity 41
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 579
- days_rel: 11
- days_push: 7
- n_releases_24m: 550
Adoption not part of the score
21922 stars · 1508 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Cua is an open-source framework for computer-use agents, providing background desktop drivers, disposable GUI sandboxes, cross-OS fleets (Linux, Windows, macOS, Android), and Cua-Bench for verifiable task benchmarks and RL environments. It includes Lume for Apple Silicon macOS virtualization and a Python SDK for running, evaluating, and generating training data from agent workloads.
Use cases
- run computer-use agents on real desktops in the background
- spin up disposable GUI sandboxes for AI agents
- benchmark and evaluate computer-use models on verifiable tasks
- generate training data from agent desktop activity
- run macOS VMs on Apple Silicon locally
- scale agent evals across parallel cloud fleets
- let a coding agent drive native desktop apps without taking over the cursor
- run reinforcement learning environments for desktop agents
When to choose
- you are building or evaluating computer-use agents and need real or isolated desktop environments
- you need cross-OS (Linux, Windows, macOS, Android) agent infrastructure with one API
- you want open-source, self-hostable VM and sandbox runtimes including macOS on Apple Silicon
- you need repeatable, verifiable benchmarks or RL environments for desktop tasks
When to avoid
- you only need simple browser automation or web scraping without a full desktop
- you need a managed no-code RPA product rather than a developer framework
- your agents only interact with APIs and never need GUI or desktop control
Facets
framework · maturity active
agent-framework machine-learning benchmarking simulation workflow-automation sdk cli mcp artificial-intelligence reinforcement-learning developer-tools cross-platform windows python cloud self-hosted cross-platform computer-use computer-use-agents desktop-automation virtualization macos-vms apple-silicon sandboxing rl-environments agent-evaluation data-generation gui-automation fleets ai-agents automation macos linux android docker
10 sources
- readme: https://github.com/trycua/cua · fetched 2026-08-28 · b405f8a585e6
- homepage: https://cua.ai · fetched 2026-08-29 · 51dd5251cc1a
- site_page: https://cua.ai/docs · fetched 2026-08-29 · b37a59dff341
- site_page: https://cua.ai/docs/how-to-guides · fetched 2026-08-29 · 542f1531a40e
- site_page: https://cua.ai/about · fetched 2026-08-29 · f8ef31f19346
- site_page: https://cua.ai/docs/how-to-guides/sandbox/scale-out · fetched 2026-08-29 · 9c1b4c11d49f
- site_page: https://cua.ai/docs/tutorials/your-first-cloud-fleet · fetched 2026-08-29 · e6ba9d251664
- site_page: https://cua.ai/docs/tutorials/drive-your-first-app · fetched 2026-08-29 · 08d1f713e66e
- site_page: https://cua.ai/docs/concepts/what-is-cua-bench · fetched 2026-08-29 · ea6564c2e077
- site_page: https://cua.ai/changelog · fetched 2026-08-29 · 7db073151523
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| trycua/cua | main | 83 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem