Graph Engineering for Agentic AI Systems

This audiobook delves into the discipline of graph engineering, guiding engineers on how to intentionally design and operate agent systems with clear topology, nodes, edges, and state management. Covering topics from execution and memory graphs to security, knowledge graphs, and verification, it emphasizes practical implementation with code and homework projects available on GitHub. Authored by Ken Huang, a seasoned AI and security expert, the book provides a comprehensive foundation for building durable, secure, and efficient agent systems.