// agents · Human-Agent-Society/reef

reef

reefは、Human-Agent-Society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: Human-Agent-Society/reef)。GitHubスターは7,504、フォークは698で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。

Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.

★ 7.5k スター⑂ 698 フォークApache-2.0更新 2026年10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

GitHubスター
7,504
フォーク
698
ライセンス
Apache-2.0
GitHubでの最終更新
2026年10月8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

    Choose your improvement path — weight training, harness evolution, or both — and identify which agent traffic and feedback signals will drive it.

  2. Get the project

    Clone Human-Agent-Society/reef 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 reef-infra from PyPI for use, or clone and install from source for development and the full recipes.

  4. Run your first task

    Stand up a minimal deployment, send a provider-compatible inference request through it, then send an outcome report and confirm the loop records it.

// 機能

選ばれる理由

Two improvement paths

Supports weight-training deployments and harness-evolving deployments, so improvement can target the model or its scaffolding.

Provider-compatible inference

Your agent sends provider-compatible inference requests through Reef, keeping the integration surface familiar.

Outcome reporting loop

Clients send reports about inference outcomes back to Reef, closing the loop that continual improvement needs.

Fits your existing stack

Designed to slot into an agent stack you already run, rather than replacing your agent framework.

Recipes and examples

Ships recipes and examples for the documented deployment patterns.

PyPI or source install

Install reef-infra from PyPI, or from source with uv, including an optional slime extra for the training path.

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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 reef.

    git clone https://github.com/Human-Agent-Society/reef.git
    cd reef
  2. Install from PyPI

    Install the published package as the README's installation section shows.

    uv pip install reef-infra
  3. Or install from source

    Clone the repository and install it in editable mode (with the training extra if you need it).

    git clone https://github.com/Human-Agent-Society/reef.git
    cd reef
    uv pip install -e .
// 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 reef?

Human-Agent-Society, through the Human-Agent-Society/reef repository, with the site at reefinfra.ai.

Is reef free to use?

Yes — the project is open source under the Apache-2.0 license as recorded for this listing. See the license terms for any conditions on redistribution.

Does reef need a paid API key?

Reef's inference path is provider-compatible, so model calls use your configured provider and keys; Reef itself is free and Apache-2.0 licensed.

How does Reef compare to a standard agent framework?

Frameworks help you build and run an agent once. Reef is infrastructure for what happens next — collecting inference outcomes and continually improving weights or harness — so it complements a framework rather than competing with it.

How do I get started with reef?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — stand up a minimal deployment, send a provider-compatible inference request through it, then send an outcome report and confirm the loop records it.

// さらに探索

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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 — reef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reef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。

reef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。