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ouroboros

MCPOpen source

Ouroboros is an Agent OS that makes AI coding agents self-improving via interview-gated, budgeted evolution loops.

5.7kMIT

Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it. Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 13 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

Pros

  • +Self-improving agents through evolutionary loop
  • +Supports 13+ coding agent runtimes
  • +Interview-gated task specification reduces ambiguity
  • +Local-first and replayable execution contracts

Cons

  • −Complex setup and learning curve
  • −Requires integration with specific coding agents
  • −May be overkill for simple tasks

Target audience: Developers and teams building complex AI coding workflows who want structured, self-improving agent execution.

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