LibreAI / Agentes de IA / mobilerun
// agents · droidrun/mobilerun

mobilerun

mobilerun é um projeto de agentes de IA de código aberto de droidrun (droidrun/mobilerun no GitHub). Tem 9.590 estrelas no GitHub e 1.021 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 5 de outubro de 2026.

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

★ 9,6 mil estrelas⑂ 1,0 mil forksMITatualizado out 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Repositório
droidrun/mobilerun
Estrelas no GitHub
9.590
Forks
1.021
Licença
MIT
Última atualização no GitHub
5 de outubro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como funciona

  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.

// recursos

Por que as pessoas gostam tanto

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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// execute você mesmo

Execute você mesmo

  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
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

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.

// continue explorando

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// alternativas

Alternativas em Agentes de IA

Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se mobilerun não for o ideal para você.

// mais em agents

Mais em Agentes de IA

Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de mobilerun: continue explorando dos dois lados dele.

Baixe o mobilerun

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.