// agents · Human-Agent-Society/reef

reef

reef est un projet de agents IA open source, créé par Human-Agent-Society (Human-Agent-Society/reef sur GitHub). Il compte 7 504 étoiles sur GitHub et 698 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.

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

★ 7,5 k étoiles⑂ 698 forksApache-2.0mis à jour oct. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
7 504
Forks
698
Licence
Apache-2.0
Dernière mise à jour sur GitHub
8 octobre 2026
Catégorie
Agents IA
Type de fiche
Guide d'installation complet
Site officiel
Official site
// fonctionnement

Comment ça marche

  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.

// fonctionnalités

Pourquoi on l'adore

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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// lancez-le

Lancez-le vous-même

  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 .
// cas d'usage

Ce que vous pouvez créer

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// faq

Questions fréquentes

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.

// continuez l'exploration

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// alternatives

Alternatives en Agents IA

Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si reef ne vous convient pas.

// plus en agents

Plus en Agents IA

Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de reef — continuez à explorer de part et d'autre.

Obtenir reef

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