Ouroboros — AI Agent Framework: Live Stats & TrendScore

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: Jun 26, 2026 • Sentiment updated: Jun 18, 2026

GitHub Statistics

• GitHub Stars: 4,721
• Forks: 466
• Open Issues: 56
• Primary Language: Python
• License: MIT
• Weekly Star Velocity: +107 stars/week

Community Sentiment

Community Buzz: from HackerNews, with another user stating 'This is not software. This is just held together with duct tape and a prayer' from the same platform

Pros & Cons

What People Love

Ouroboros innovation from HackerNews, Rust A2A Agent from Dev.to, Turtle & Gemma from Dev.to

Common Complaints

CVT replacement costs, procrastination, software quality

Biggest Positive: Ouroboros innovation

Biggest Negative: CVT replacement costs

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

Agent OS: Stop prompting. Start specifying.

Category & Tags

Category: multi-agent

Tags: agent-os, ai-agent, llm-orchestration, llm-runtime, python

Market Context

Competitive with other AI and automotive technologies