// agents · MineDojo/Voyager

Voyager

Voyager é um projeto de agentes de IA de código aberto de MineDojo (MineDojo/Voyager no GitHub). Tem 7.250 estrelas no GitHub e 706 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 3 de abril de 2024.

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

★ 7,2 mil estrelas⑂ 706 forksMITatualizado abr 2024
▦ 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
MineDojo/Voyager
Estrelas no GitHub
7.250
Forks
706
Licença
MIT
Última atualização no GitHub
3 de abril de 2024
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como 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.

// recursos

Por que as pessoas gostam 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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// execute você mesmo

Execute você mesmo

  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

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

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.

// 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 Voyager 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 Voyager: continue explorando dos dois lados dele.

Baixe o Voyager

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