Ouroboros — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Ouroboros. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 1, 2026 • Sentiment updated: Unknown

GitHub Statistics

• GitHub Stars: 1,976
• Forks: 182
• Open Issues: 28
• Primary Language: Python
• License: MIT

Why Ouroboros Stands Out

Ouroboros replaces ad-hoc prompting with a structured specification-first workflow, allowing users to turn vague ideas into verified, working codebases with any AI coding agent.

Built With

Python, Ouroboros library, Claude Code, Codex CLI

Getting Started

1. Install ouroboros-ai using pip
2. Run ooo interview to start the specification-first workflow
3. Use ooo pm for product management workflows
4. Configure runtime with ouroboros setup

About

Stop prompting. Start specifying.

Category & Tags

Category: multi-agent

Tags: ai-agent, claude-code, codex-cli, devtools, evaluation, llm, mcp, multi-agent, prompt-engineering, python, spec-driven-development, workflow-automation