// agents · EverMind-AI/Raven

Raven

Raven é um projeto de agentes de IA de código aberto de EverMind-AI (EverMind-AI/Raven no GitHub). Tem 5.303 estrelas no GitHub e 152 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.

The harness of harnesses: a persistent, self-evolving multi-agent ecosystem built for RSI.

★ 5,3 mil estrelas⑂ 152 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

Repositório
EverMind-AI/Raven
Estrelas no GitHub
5.303
Forks
152
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 the outcome you want the ecosystem to own

    Pick a substantial, ongoing objective — a product launch, a codebase, a research program — rather than a one-off question.

  2. Install Raven

    Use the one-line installer for your platform, or the container route if you prefer nothing on the host but Git and Docker.

  3. Set up your agents and models

    Configure the built-in agents and connect any third-party agents you already use.

  4. Launch and delegate

    Start the WebUI with raven web and give Raven its first task from the composer, with skills, playbooks, knowledge and memory attached.

// recursos

Por que as pessoas gostam tanto

Built-in agent team

Ships Raven-Research, Raven-Code, Raven-Design and Raven-Oncall agents covering research, engineering, design and operations work.

Runtime self-evolution

Agents improve through a runtime self-evolution loop — the project's RSI focus — with persistent memory across tasks.

Connects third-party agents

External agents plug into the same ecosystem, so existing agents join the shared memory and playbooks instead of being replaced.

WebUI and TUI

A browser WebUI (with a task composer exposing skills, playbooks, knowledge and memory) plus a terminal interface.

Proven on full projects

The showcase documents complete end-to-end work: a game development project, an RSI run and a full product launch executed by Raven.

Multiple install paths

One-line script installs, a container route needing only Git and Docker, and editable source-checkout installs for development.

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// execute você mesmo

Execute você mesmo

  1. Clone the repository

    Clone Raven if you want a source checkout; most users use the installer in the next step.

    git clone https://github.com/EverMind-AI/Raven.git
    cd Raven
  2. Install Raven

    Run the official installer on Linux, macOS or WSL2 (a PowerShell route is documented for Windows).

    curl -fsSL https://raven.evermind.ai/install.sh | bash
  3. Launch the WebUI

    Start Raven's web interface in the background and open it in your browser.

    raven web
    # Opens the WebUI; stop it later with: raven web --stop
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

Who maintains Raven?

Raven is maintained by EverMind-AI, part of the EverMind ecosystem.

Is Raven free?

Yes — it is open source under the Apache-2.0 license. You pay for the models your agents call.

Does it need a paid API key?

Raven's agents drive LLMs, so you need model access through the providers you configure; Raven itself charges nothing.

How does it compare to AutoGen or CrewAI?

Those are frameworks for assembling agent teams in code; Raven is a persistent, productized ecosystem — built-in agents, shared memory, a WebUI, and a self-evolution loop — that also connects external agents.

How do I get started?

Run the one-line installer, then raven web, and delegate your first task from the composer.

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

Baixe o Raven

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