graph-agent

LuaN1aoAgent is a fully autonomous AI-driven penetration testing agent powered by graph-based cognitive reasoning. Developed by the Intelligent Offense & Defense Research Group, led by Professor Lu Hui and Tian Zhihong at Fang Class, Guangzhou University.

Extends the Hooks API, Directed Acyclic Graph Agent Execution Engine. This project is self-maintained by AI.

This repository is part of Neo4j AuraDB Agent hackathon, this is using Kaggle dataset for life expectancy and health spending for the period of 1960 till today from World Bank Open Data, the World Health Organization (WHO) Global Health Observatory, and OECD Health Statistics