Ross ROSS = Recommend OSS · open-source software intelligence for agents

Tongyi-MAI/MAI-UI

Qwen-UI-Agent: Towards Next-Generation Real-World Centric Foundation GUI Agent observed · 2026-08-28

github.com/Tongyi-MAI/MAI-UI · homepage · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 98
  • Release rhythm 35
  • Longevity 18

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 261
  • days_rel: n/a
  • days_push: 14
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2228 stars · 202 forks observed · 2026-08-28

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

Member repositories

RepositoryRoleHealth v2
Tongyi-MAI/MAI-UImain60

For agents

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

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem