by Q00 · MCP Server · ★ 5.3k
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English | 한국어 ◯ ─────────── ◯ O U R O B O R O S ◯ ─────────── ◯ Stop prompting. Start specifying. 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, and Hermes. 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 prom
| Stars | 5,346 |
| Forks | 535 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.2719128905417/100 |
| Open Issues | 50 |
| Last Updated | 2026-08-09 |
| Created | 2026-01-14 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~18k |
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ouroboros is Agent OS: Stop prompting. Start specifying.. It is categorized as a MCP Server with 5.3k GitHub stars.
ouroboros is primarily written in Python. It covers topics such as agent-os, agentic-ai, ai-agent.
You can find installation instructions and usage details in the ouroboros GitHub repository at github.com/Q00/ouroboros. The project has 5.3k stars and 535 forks, indicating an active community.
ouroboros is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ouroboros on Agent Skills Hub include superset, claude-skills, holaOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.