LibreAI / Agentes de IA / ouroboros
// agents · Q00/ouroboros

ouroboros

ouroboros é um projeto de agentes de IA de código aberto de Q00 (Q00/ouroboros no GitHub). Tem 6.195 estrelas no GitHub e 623 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 7 de outubro de 2026.

An Agent OS with interview-gated, budgeted evolution — one MCP server across 14 agent runtimes.

★ 6,2 mil estrelas⑂ 623 forksMITatualizado 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
Q00/ouroboros
Estrelas no GitHub
6.195
Forks
623
Licença
MIT
Última atualização no GitHub
7 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 what you want built

    Prepare the idea you will hand to the interview — Ouroboros starts by questioning you before any building happens.

  2. Install Ouroboros

    Use the one-line installer for your platform, or install the package with pipx/uv.

  3. Set up your runtime

    Run the setup for your agent runtime (Claude Code, Codex, Kiro, Copilot and more) so the MCP server is registered.

  4. Run your first interview

    Start with ooo setup and ooo interview, answer the gating questions, and let the staged, budgeted loop build and evaluate the result.

// recursos

Por que as pessoas gostam tanto

Interview-gated building

Nothing is built until an interview pins down intent — the system questions you first, then executes against that contract.

Budgeted evolution loop

Agents evolve solutions over up to 30 generations with convergence checks and stagnation detection, under an explicit budget.

Staged evaluation

Work passes staged evaluation with a weighted drift measure across goal, constraints and ontology before it is accepted.

14 runtime integrations

The same workflow runs on Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro, Hermes, Goose and more via pluggable runtime backends.

PAL model router

Routes work across Frugal, Standard and Frontier model tiers with auto-escalation on failure and auto-downgrade on success.

Replayable execution contract

Capability discovery, policy, directives and an event journal make agent execution replayable and auditable.

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// execute você mesmo

Execute você mesmo

  1. Clone the repository

    Clone Ouroboros if you want the source; most users use the installer in the next step.

    git clone https://github.com/Q00/ouroboros.git
    cd ouroboros
  2. Install Ouroboros

    Run the official installer for macOS/Linux/WSL2 (a PowerShell installer exists for Windows).

    curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | OUROBOROS_INSTALL_REF=readme-hero bash
  3. Set up and interview

    Initialize Ouroboros and start your first interview-gated build.

    ooo setup
    ooo interview "I want to build a task management CLI"
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

Who maintains Ouroboros?

Ouroboros is maintained by Q00 and contributors in the Q00/ouroboros repository.

Is Ouroboros free?

Yes — it is MIT licensed. You pay for the model usage of the runtime and models you connect.

Does it need a paid API key?

It drives external agent runtimes and models, so you need working access to at least one supported runtime (for example Claude Code or Codex); Ouroboros itself charges nothing.

How does it compare to a plain coding agent?

A plain agent starts coding immediately; Ouroboros gates work behind an interview, evaluates in stages, and evolves solutions within a budget — trading speed for control and repeatability.

How do I get started?

Run the one-line installer, then ooo setup for your runtime and ooo interview with your idea.

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

Baixe o ouroboros

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