LibreAI / Agents IA / mobile-use
// agents · minitap-ai/mobile-use

mobile-use

mobile-use est un projet de agents IA open source, créé par minitap-ai (minitap-ai/mobile-use sur GitHub). Il compte 3 234 étoiles sur GitHub et 295 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 14 septembre 2026.

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

★ 3,2 k étoiles⑂ 295 forksApache-2.0mis à jour sept. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
3 234
Forks
295
Licence
Apache-2.0
Dernière mise à jour sur GitHub
14 septembre 2026
Catégorie
Agents IA
Type de fiche
Guide d'installation complet
Site officiel
Official site
// fonctionnement

Comment ça marche

  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.

// fonctionnalités

Pourquoi on l'adore

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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// lancez-le

Lancez-le vous-même

  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"
// cas d'usage

Ce que vous pouvez créer

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// faq

Questions fréquentes

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.

// continuez l'exploration

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// alternatives

Alternatives en Agents IA

Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si mobile-use ne vous convient pas.

// plus en agents

Plus en Agents IA

Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de mobile-use — continuez à explorer de part et d'autre.

Obtenir mobile-use

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.