// agents · elie222/rakazo

Rakazo

Rakazo é um projeto de agentes de IA de código aberto de elie222 (elie222/rakazo no GitHub). Tem 4.097 estrelas no GitHub e 704 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 15 de outubro de 2026.

Rakazo — an open-source, self-hosted AI agent for persistent teammates: bring your own model and computer, run it on web, desktop, iPhone and Android

★ 4,1 mil estrelas⑂ 704 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
elie222/rakazo
Estrelas no GitHub
4.097
Forks
704
Licença
Apache-2.0
Última atualização no GitHub
15 de outubro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como funciona

  1. Run the installer

    On a machine with Docker Engine and the Compose plugin, run the published-images installer — it downloads the Compose files, creates a .env with random secrets, and starts Rakazo.

  2. Create your account and connect a model

    Open http://127.0.0.1:5173, create an account, and connect your model provider.

  3. Set up your first teammate

    Create a bot in the chat interface, give it a computer (local Docker is on by default), and start delegating.

// recursos

Por que as pessoas gostam tanto

Persistent teammates

Bots are set up once and managed from chat; run the backend on a server and they stay on when your laptop closes.

Your model, your computer

Bring your own model, and choose where agents compute: local Docker, E2B, Daytona, CreateOS, Box or Railway.

Every surface covered

Web app, Electron desktop app, iPhone (App Store) and Android (APK) clients all talk to your instance.

Integration-ready

Composio, Pipedream Connect, MCP and OpenAPI integrations connect bots to the rest of your stack.

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// execute você mesmo

Execute você mesmo

  1. Install from published images

    No checkout required — the installer fetches the Compose files and starts the stack.

    mkdir -p rakazo && cd rakazo && curl -fsSLO https://raw.githubusercontent.com/elie222/rakazo/main/infra/compose/install-images.sh && bash install-images.sh
  2. Or clone for development

    Source development uses pnpm 9 and Docker, on the supported Node.js lines.

    git clone https://github.com/elie222/rakazo.git
  3. Open the app

    Create an account and connect a model.

    http://127.0.0.1:5173
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

Who maintains Rakazo?

elie222; the project site is rakazo.com.

Is it free?

Yes, Apache-2.0 licensed. The software is free; model and sandbox-provider usage is billed by those providers.

Does it need a paid API key?

You bring your own model access; optional remote computer providers (E2B, Daytona and similar) need their own keys.

How does it compare to a well-known alternative?

Grok Bot and Muse are hosted assistants. Rakazo is the self-hosted equivalent: your instance, your model choice, your computers — with web, desktop and mobile clients.

How do I get started?

Run the one-command Docker installer, open http://127.0.0.1:5173, create an account, connect a model, and set up your first bot from chat.

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

Baixe o Rakazo

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