// agents · MineDojo/Voyager

Voyager

Voyagerは、MineDojoが公開しているオープンソースのAIエージェントプロジェクトです(GitHub: MineDojo/Voyager)。GitHubスターは7,250、フォークは706で、MITライセンスの下で公開されています。GitHubでの最終更新は2024年4月3日です。

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

★ 7.2k スター⑂ 706 フォークMIT更新 2024年4月
▦ ビジュアル — このプロジェクトのREADMEには埋め込み可能なスクリーンショットがないため、
ここではプレースホルダーを表示しています。下のガイド自体は完全な内容です。
// プロジェクトの基本情報

プロジェクト基本情報

リポジトリ
MineDojo/Voyager
GitHubスター
7,250
フォーク
706
ライセンス
MIT
GitHubでの最終更新
2024年4月3日
掲載タイプ
完全なインストールガイド
公式サイト
Official site
// 仕組み

仕組み

  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.

// 機能

選ばれる理由

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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// 自分で実行

自分で実行してみる

  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
// 活用例

作れるもの

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// よくある質問

よくある質問

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.

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// 代替候補

代替候補: AIエージェント

LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — Voyagerが合わなかった場合に検討したい、現実的な候補リストです。

// さらに見る agents

さらに見る: AIエージェント

カタログの中でVoyagerとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。

Voyagerを入手する

無料でオープン — ソースコードを入手して、リポジトリにスターを付け、作り始めましょう。