// agents · Human-Agent-Society/reef

reef

reef é um projeto de agentes de IA de código aberto de Human-Agent-Society (Human-Agent-Society/reef no GitHub). Tem 7.504 estrelas no GitHub e 698 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.

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

★ 7,5 mil estrelas⑂ 698 forksApache-2.0atualizado out 2026
▦ 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

Estrelas no GitHub
7.504
Forks
698
Licença
Apache-2.0
Última atualização no GitHub
8 de outubro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como funciona

  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.

// recursos

Por que as pessoas gostam tanto

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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// execute você mesmo

Execute você mesmo

  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 .
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

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.

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

Baixe o reef

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