AI Agent Skills

Neo4j graph construction from unstructured data using LLMs

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

relation-graph is an relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully…

🕸 WebGL Graph Visualizations for React. Maintained by @goodcodeus.

A modular graph-based Retrieval-Augmented Generation (RAG) system

GPU-accelerated force graph layout and rendering

[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

LuaN1aoAgent is a cognitive-driven AI hacker. It is a fully autonomous AI penetration testing agent, using dual-graph reasoning.

[NeurIPS '25] Knowledge Graph Generation from Any Text

🤖 A Python library for learning and evaluating knowledge graph embeddings

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

Agent Skill for building evidence-backed Markdown knowledge bases with zero-cost setup, image-aware capture, automatic wiki maintenance, and an interactive knowledge gra…