Tongyi-MAI/MAI-UI

Some data may be outdated — see provenance labels.

Qwen-UI-Agent: Towards Next-Generation Real-World Centric Foundation GUI Agent observed · 2026-10-01

github.com/Tongyi-MAI/MAI-UI · homepage · Jupyter Notebook observed · 2026-10-01

Health v2 · maintenance only

57/100

Activity 90
Release rhythm 35
Longevity 22

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

gap_med: n/a
age_days: 309
days_rel: n/a
days_push: 62
n_releases_24m: 0

Full methodology

Adoption not part of the score

2369 stars · 217 forks observed · 2026-10-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Qwen-UI-Agent (MAI-UI) is a foundation GUI agent model from Alibaba's Tongyi-MAI team that unifies mobile, desktop, browser, and deep-research task execution in a single model. It combines GUI grounding and navigation with a hybrid GUI+CLI action space, trained via scalable long-horizon online reinforcement learning on real devices.

Use cases

automate tasks on android apps via a gui agent
control a desktop computer with natural language instructions
navigate websites and complete browser tasks automatically
perform deep research combining web search and gui actions
evaluate gui agents on real-device mobile benchmarks
build an agent that clicks, types, and runs shell commands
benchmark screen grounding on screenspot-pro or osworld

When to choose

you need a state-of-the-art open GUI agent spanning mobile, desktop, and web
you want real-device training/evaluation environments instead of simulators
you need hybrid GUI plus CLI action execution with batched actions
you are researching long-horizon online RL for agents

When to avoid

you need a simple RPA tool without ML models
you require a permissively licensed project (no license is specified)
you lack GPU resources for running large vision-language models
you only need lightweight browser automation like Playwright scripts

Facets

framework · maturity active

agent-framework computer-vision machine-learning llm-inference gui artificial-intelligence large-language-models computer-vision mobile-development web-development cross-platform python gui-agent gui-grounding computer-use mobile-use browser-use deep-research reinforcement-learning benchmark qwen alibaba ai-agents automation android gpu web-server

2 sources

readme: https://github.com/Tongyi-MAI/MAI-UI · fetched 2026-10-01 · b6e5569c537e
homepage: https://tongyi-mai.github.io/Qwen-UI-Agent/ · fetched 2026-08-29 · 7a37ed3deb0d

Member repositories

Repository	Role	Health v2
Tongyi-MAI/MAI-UI	main	57

For agents

markdown · JSON · MCP: product_card(name="Tongyi-MAI/MAI-UI")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem