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

minitap-ai/mobile-use

AI agents can now use real Android and iOS apps, just like a human. observed · 2026-08-28

github.com/minitap-ai/mobile-use · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

73/100

  • Activity 99
  • Release rhythm 65
  • Longevity 27
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: 9
  • age_days: 382
  • days_rel: 233
  • days_push: 7
  • n_releases_24m: 10

Full methodology

Adoption not part of the score

2784 stars · 237 forks observed · 2026-08-28

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

An open-source Python AI agent framework that controls real Android and iOS devices using natural language commands, built on LangGraph. It navigates app UIs, performs tasks, and scrapes structured data from mobile apps, and also powers a commercial autonomous mobile QA product.

Use cases

  • automate tasks on my android phone with natural language
  • control an ios app with an ai agent
  • scrape structured data from a mobile app
  • run autonomous e2e tests on mobile apps
  • let an llm agent navigate app uis like a human
  • build a phone automation agent with langgraph
  • regression test mobile apps without writing scripts

When to choose

  • you want natural-language automation of real Android or iOS devices
  • you need UI-aware agents that use accessibility tree data
  • you want to extract structured data from mobile apps
  • you need an open-source alternative to scripted mobile testing tools like Appium or Maestro

When to avoid

  • you need to automate mobile games, which lack accessibility tree data
  • you need a fully managed QA service rather than a self-hosted agent library
  • you need stable, production-hardened tooling - the project is still quickly evolving

Facets

library · maturity active

agent-framework workflow-automation testing e2e-testing web-scraping llm-inference mcp mobile-development testing large-language-models python cross-platform cli mobile-automation natural-language-control ui-automation androidworld-benchmark langgraph device-control qa-automation ai-agents automation android ios

5 sources

Member repositories

RepositoryRoleHealth v2
minitap-ai/mobile-usemain73

For agents

markdown · JSON · MCP: product_card(name="minitap-ai/mobile-use")

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