LibreAI / Agents IA / mobilerun
// agents · droidrun/mobilerun

mobilerun

mobilerun est un projet de agents IA open source, créé par droidrun (droidrun/mobilerun sur GitHub). Il compte 9 590 étoiles sur GitHub et 1 021 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 5 octobre 2026.

Control Android and iOS devices with natural language — an LLM-agnostic mobile agent framework and CLI.

★ 9,6 k étoiles⑂ 1,0 k forksMITmis à jour oct. 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
9 590
Forks
1 021
Licence
MIT
Dernière mise à jour sur GitHub
5 octobre 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 task in plain language, which device (physical, emulator or cloud) you will use, and which LLM provider will drive the agent.

  2. Get the project

    Clone droidrun/mobilerun from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Install the mobilerun package, install the Portal app on the device, and configure your LLM provider credentials.

  4. Run your first task

    Verify the device connection, then run a single natural-language command — for example opening an app and completing a simple flow — and inspect the trace.

// fonctionnalités

Pourquoi on l'adore

Natural-language control

Run one-off tasks from the CLI in plain language, or build custom workflows with the Python API and custom tools.

Android and iOS support

Control Android through the Portal app, or target iOS through the iOS Portal flow.

Portal-based perception

The agent uses UI trees, screenshots, text input, gestures, app launching and device state from the Portal runtime.

Vision and reasoning modes

--vision sends screenshots to the LLM, --vision-only controls by screenshot alone, and --reasoning enables manager-executor planning for longer tasks.

Tracing and telemetry

Debug executions with Arize Phoenix, Langfuse, saved trajectories and detailed logs.

Structured output and app cards

Return structured data from mobile workflows, and add app-specific guidance cards so the agent performs better on your apps.

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// lancez-le

Lancez-le vous-même

  1. Clone the repository

    Get the source from the official GitHub repository for mobilerun.

    git clone https://github.com/droidrun/mobilerun.git
    cd mobilerun
  2. Install Mobilerun

    Install the package with uv as the README's installation section shows, then install the Portal on your device.

    uv pip install mobilerun
  3. Run your first command

    After verifying the Portal connection and configuring your LLM provider, run a natural-language task from the CLI.

    mobilerun "Open Settings and turn on Wi-Fi"  # see README quickstart for exact CLI syntax
// cas d'usage

Ce que vous pouvez créer

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// faq

Questions fréquentes

Who maintains mobilerun?

The droidrun team, through the droidrun/mobilerun repository, with the framework site at mobilerun.ai.

Is mobilerun free to use?

Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.

Does mobilerun need a paid API key?

The framework is LLM-agnostic but needs an LLM you configure — typically your own API key for a provider, billed by that provider; Mobilerun itself is free.

How does Mobilerun compare to Appium-style test automation?

Appium scripts specify every tap and selector and break when UIs change. Mobilerun describes the goal in natural language and lets an LLM plan through the live UI tree and screenshots — more flexible, but dependent on model quality and cost per run.

How do I get started with mobilerun?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — verify the device connection, then run a single natural-language command — for example opening an app and completing a simple flow — and inspect the trace.

// 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 mobilerun 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 mobilerun — continuez à explorer de part et d'autre.

Obtenir mobilerun

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