LibreAI / Agentes de IA / mobile-use
// agents · minitap-ai/mobile-use

mobile-use

mobile-use es un proyecto de agentes de IA de código abierto de minitap-ai (minitap-ai/mobile-use en GitHub). Tiene 3.234 estrellas en GitHub y 295 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 14 de septiembre de 2026.

AI agents that use real Android and iOS apps like a human — from minitap.

★ 3,2k estrellas⑂ 295 bifurcacionesApache-2.0actualizado sep 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
3.234
Bifurcaciones
295
Licencia
Apache-2.0
Última actualización en GitHub
14 de septiembre de 2026
Categoría
Agentes de IA
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// características

Por qué gusta tanto

Real devices and simulators

Physical Android phones over USB, Android emulators, and iOS simulators on macOS.

Natural-language control

Describe the task in plain language; the agent plans and acts on the live UI.

Docker quick launch

A containerised launch path, with troubleshooting docs for device-IP and image-pull issues.

Development mode

uv venv + uv sync gives a locked, reproducible local setup.

Benchmarked

The README reports benchmark results for the agent's mobile task performance.

LangGraph-based system

An agentic system overview in the README explains the perception/action loop.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/minitap-ai/mobile-use.git
    cd mobile-use
  2. Clone and set up locally

    Clone, create the uv environment from the project's Python version, activate it and sync locked dependencies.

    git clone https://github.com/minitap-ai/mobile-use.git && cd mobile-use
    uv venv
    source .venv/bin/activate  # Windows: .venv\Scripts\activate
    uv sync
  3. Run a task

    Connect a device (ADB for Android, fb-idb for iOS) and give the agent a goal.

    python ./minitap/mobile_use/main.py "Go to settings and tell me my current battery level"
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains mobile-use?

It is maintained by minitap-ai on GitHub (minitap-ai/mobile-use), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.

Does it need a paid API key?

Yes — the agent reasons with an LLM, so you configure a provider key as the README describes; devices themselves are your own hardware/emulators.

How does it compare to Appium scripts or desktop browser-use agents?

Compared with Appium scripts or desktop browser-use agents, mobile-use's distinguishing focus is: aI agents that use real Android and iOS apps like a human — from minitap. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/minitap-ai/mobile-use (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// sigue explorando

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// alternativas

Alternativas en Agentes de IA

Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si mobile-use no es lo que buscas.

// más en agents

Más en Agentes de IA

Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a mobile-use: sigue explorando a ambos lados.

Consigue mobile-use

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.