By ASak1104
Self-improving AI workflow system. Crystallize requirements before execution with Socratic interview, ambiguity scoring, and 3-stage evaluation.
Automatically converge from goal to A-grade Seed and execute it
Scan and manage brownfield repository/worktree defaults for interviews
Cancel stuck or orphaned executions
Open or drive the Ouroboros settings GUI (browser, TUI, or conversational fallback)
Evaluate execution with three-stage verification pipeline
Modifies files
Hook triggers on file write and edit operations
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O U R O B O R O S
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Stop prompting. Start specifying.
The Agent OS for replayable, specification-first AI coding workflows
Quick Start · Why · Results · How It Works · Commands · Philosophy
Turn a vague idea into a verified, working codebase -- across Claude Code, Codex CLI, OpenCode, Hermes, Gemini, Kiro, Copilot, and Pi.
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 workflow: interview, crystallize, execute, evaluate, evolve.
Like any OS, Ouroboros is split into a stable OS layer of primitives, an application layer of domain workflows, and a shell that humans actually sit in front of. Three repos, one stack:
| Layer | Repo | Role | What it gives you |
|---|---|---|---|
| Shell (terminal client) | Q00/ourocode | Native terminal UI for running ooo workflows across Claude / Codex / Gemini CLIs in one session | TUI, wonderTool decision pickers, MCP pane state, command discovery |
| Apps (domain workflows) | Q00/ouroboros-plugins | UserLevel plugin contract — composes core primitives into installable domain programs (PR ops, Jira sync, incidents, releases) | Plugin manifest, scoped permissions, audit/provenance, reference plugins |
| OS (this repo) | Q00/ouroboros | Agent OS core — Seed, Ledger, Runtime, MCP, safety boundaries | ooo commands, spec-first workflow engine, multi-runtime adapter |
How they connect:
ourocode ──► ooo / ouroboros-plugins ──► ouroboros core (Seed · Ledger · MCP · Runtime)
shell user-level apps kernel
ouroboros) owns the contract: every action becomes a
Seed-bound, ledger-recorded, replayable event — regardless of which LLM
executes it.ouroboros-plugins) declare scoped capabilities against that
contract, so domain workflows (review a PR, triage a Linear ticket, run a
release) stay auditable and policy-bound instead of being one-off prompts.Use ouroboros alone with any supported CLI, layer plugins on for domain
workflows, or install ourocode when you want a unified terminal cockpit.
Disclaimer. The Ouroboros project and community are not affiliated with any cryptocurrency, token, memecoin, or trading community — including, but not limited to, any "ouroboros" tickers on pump.fun or other launchpads. This is an open-source developer tool. We do not issue, endorse, or hold any coins. Any token claiming association with this project is unauthorized.
Most AI coding fails at the input, not the output. The bottleneck is not AI capability -- it is human clarity.
| Problem | What Happens | Ouroboros Fix |
|---|---|---|
| Vague prompts | AI guesses, you rework | Socratic interview exposes hidden assumptions |
| No spec | Architecture drifts mid-build | Immutable seed spec locks intent before code |
| Manual QA | "Looks good" is not verification | 3-stage automated evaluation gate |
Install — one command, everything auto-detected:
curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | bash
Build — open your AI coding agent and go:
npx claudepluginhub asak1104/ouroborosSupergraph enforces a complete, evidence-based coding pipeline — scan → plan → TDD → fix → verify → review — grounded in real codebase analysis at every step. It combines AST dependency graphs, LSP-level code intelligence, and a structured skill chain so Claude never guesses about impact before making a change.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).
Claude harness - A harness for solo developers (Vibecoders) to handle full-cycle contract development.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer