ouroboros

项目详情摘要

English | 한국어 | 简体中文 ◯ ─────────── ◯ O U R O B O R O S ◯ ─────────── ◯ It gets smarter on its own. We just hold the line. Skip the prompt engineering. The agent runs, fails, and gets smarter every generation. The grading command and expected result never make it into the success contract we hand it. The Agent OS for replayable AI coding workflows Quick Start · Why · Results · How It Works · Commands · Philosophy · Guide One command installs it. Then run ooo setup once inside your coding agent — details in Quick Start . Separate runs, separate hosts. Different tasks on purpose — the engine is what is shared, not the prompt Terminal CLI — a task-management CLI: ouroboros init start asking about ordering and scope, then reporting an ambiguity score ChatGPT (Codex) — called as an integration, on a video-publishing harness: the interview, its advisory lanes, and the ambiguity ledger Claude Code — a YouTube automation task, with the six advisory lanes running in parallel before the interview submits Hermes (Discord) — a kart-racing game, run as a chat bot, ending at Final ambiguity: 0.15 DeepSeek Harness — an OSS-trend outreach script, driven from a dsh chat: mcp__ouroboros__ouroboros_interview turn by turn, fan-out results submitted between rounds Kiro — the Kiro CLI running the Ouroboros interview flow, turning a vague request into a structured, testable Seed Turn a vague idea into a verified, working codebase -- across Claude Code, Codex CLI, OpenCode, Hermes, Gemini, Kiro, Copilot, Pi, OMP, Zcode, Goose, GJC, Antigravity, and Grok.** Ouroboros is an **Agent OS** for AI coding: a local-first runtime layer that turns non-deterministic agent work into a replayable, observable, policy-bound execution contract. It replaces ad-hoc prompting with a structured specification-first