// agents · MineDojo/Voyager

Voyager

Voyager es un proyecto de agentes de IA de código abierto de MineDojo (MineDojo/Voyager en GitHub). Tiene 7.250 estrellas en GitHub y 706 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 3 de abril de 2024.

Voyager — the open-ended embodied Minecraft agent that writes its own skills and keeps learning for life.

★ 7,2k estrellas⑂ 706 bifurcacionesMITactualizado abr 2024
▦ 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

Repositorio
MineDojo/Voyager
Estrellas en GitHub
7.250
Bifurcaciones
706
Licencia
MIT
Última actualización en GitHub
3 de abril de 2024
Categoría
Agentes de IA
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Set up the full environment first — Minecraft instance, Fabric mods, Node and Python parts — and decide whether to start lifelong learning fresh or resume from a checkpoint/skill library.

  2. Get the project

    Clone MineDojo/Voyager 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

    Follow the README's four install parts in order: Python install, Node.js install, Minecraft instance install, and Fabric mods install.

  4. Run your first task

    Start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.

// características

Por qué gusta tanto

Lifelong learning in Minecraft

An agent that continuously explores, learns new skills and takes on harder tasks without a fixed endpoint.

Executable skill library

Learned skills are stored as code in a skill library and reused — you can also load a learned library to run specific tasks.

Automatic curriculum

Voyager proposes its own next tasks based on its progress, rather than following a hand-written task list.

Iterative prompting with feedback

Environment feedback and execution errors feed back into prompting so the agent debugs its own attempts.

Checkpoint resume

Learning can resume from a checkpoint, and a learned skill library can be pointed at a new specific task.

Paper-backed research code

The official codebase for the Voyager paper, with the project site and arXiv paper linked from the repo.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the source from the official GitHub repository for Voyager.

    git clone https://github.com/MineDojo/Voyager.git
    cd Voyager
  2. Install the components

    Complete the Python and Node.js installs from the README, including the package install and TypeScript build steps it lists.

    pip install -e .
    npm install
  3. Start lifelong learning

    With the Minecraft instance and Fabric mods running and your login configured, start Voyager's lifelong learning from the README's getting-started code.

    # Configure azure_login (recommended) in the getting-started snippet, then start lifelong learning — see README
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains Voyager?

MineDojo, through the MineDojo/Voyager repository, with the project site at voyager.minedojo.org.

Is Voyager 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 Voyager need a paid API key?

Voyager's reasoning is driven by an LLM, so you need the model access its setup requires (the README recommends Azure login for the Minecraft connection and its GPT-class model setup); the code is free under MIT.

How does Voyager compare to a scripted Minecraft bot?

Scripted bots (for example Mineflayer scripts) do exactly what you coded. Voyager writes, tests and stores its own skills under an automatic curriculum — a research system for open-ended learning, with a much heavier setup than a bot script.

How do I get started with Voyager?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — start lifelong learning, watch Voyager propose and attempt its first tasks, and inspect the skills it writes into its library.

// 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 Voyager 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 Voyager: sigue explorando a ambos lados.

Consigue Voyager

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