kinkos1234

kinkos1234 / comad-world

Public

Config-driven AI agent system for any domain. 6 modules, 1 YAML file. Swap a preset, get a new knowledge system.

ai-agents bun claude-code config-driven graphrag
11
5
100% credibility
Found Apr 09, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A modular AI agent system that crawls RSS feeds, research papers, and GitHub repositories to build and maintain a searchable knowledge graph updated daily.

How It Works

1
🔍 Discover Comad World

You hear about a smart helper that gathers news, papers, and code from your favorite topics into one easy place.

2
📋 Pick Your Interests

Choose a ready-made setup for AI, finance, or web dev by copying a simple settings file—no tech skills needed.

3
🚀 Set It Up Once

Run a quick setup command to connect everything and let it start listening to your chosen sources.

4
🧠 Watch It Learn

Your helper automatically pulls in articles, builds connections between ideas, and creates a personal knowledge map you can search anytime.

5
🔄 Get Daily Updates

Every day, it refreshes with new info from blogs and papers, keeping your knowledge current without effort.

6
Make It Yours
💬
Chat and Ask

Talk to it naturally to find answers, predictions, or summaries from your growing knowledge base.

📈
Run Simulations

Use it to explore 'what if' scenarios or analyze trends through different thinking styles.

✨ Your AI Knowledge Companion

Now you have a personal brain that grows smarter daily, saving you hours of manual research.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 11 to 11 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is comad-world?

Comad-world builds a personal knowledge system that crawls RSS feeds, arXiv papers, GitHub repos, and Hacker News for your chosen domain, then constructs a searchable Neo4j knowledge graph updated daily via GraphRAG queries. Swap a single YAML preset file—like AI/ML, finance, or biotech—and it reconfigures crawlers, filters, and analysis for a new knowledge domain with zero recoding. Powered by Python agents, Claude Code via MCP protocol, and Docker for Neo4j, you get automated entity extraction, claim tracking, and simulations through strategic lenses.

Why is it gaining traction?

Its killer hook is true config-driven flexibility: one YAML file controls 6 interconnected agents for crawling, graphing, predicting, curating, remembering, and automating workflows, far simpler than wiring LangChain or custom RAG pipelines. Developers love the presets that instantly adapt to domains like super miss world comad setups or miss world 96 command flows, plus Discord integration for relevance sorting and self-improving repo discovery. No vendor lock-in—runs on Claude Max for near-zero extra cost.

Who should use this?

AI researchers tired of manual paper/repo tracking, fintech analysts monitoring DeFi trends via RSS/arXiv, or indie devs prototyping domain-specific agents without rebuilding from scratch. Ideal for solo builders wanting a comad miss world knowledge base that evolves via config-driven UI github tweaks, not endless scripting.

Verdict

Promising early experiment (11 stars, 1.0% credibility score) with solid docs, presets, and 2,800+ tests, but too immature for production—expect rough edges in scaling or edge cases. Grab it if config-driven YAML agents excite you; otherwise, wait for more polish.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.