🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

ApeRAG: Best choice for building your own Knowledge Graph and for Context Engineering

Intelligent Context Engineering Assistant for Multi-Agent Systems. Analyze, optimize, and enhance your AI agent configurations with AI-powered insights

A lightweight, conversational AI assistant powered by a reasoning agent. This project provides a simple framework for building and running your own AI assistant from the command line.

Yudai is a context-engineered coding agent that connects to your GitHub repo and turns curated chat summaries, file-dependency insights, and analytics into smart context cards. One click spins those cards into complexity-scored issues, auto-tested code patches, and a labeled pull request with an inline diff viewer so you can merge with confidence.

RAGflow at Claude Desktop - for expert knowledge base access based of complex documents

A small application to create a map of any repository for use by LLMs and Agents.