AgentMemoryBook

阅读中文版 / Read in Chinese →

A comprehensive guide to understanding how state-of-the-art (SOTA) agent memory systems work — what techniques they use, how they differ, and which situations each one fits best.

Who Is This For?

• AI engineers building agents that need to remember across sessions
• Product builders choosing a memory layer for their AI application
• Researchers studying the evolving landscape of agent memory architectures
• Curious minds who want to understand what makes an AI agent "remember"

How to Read This Book

Part I — Concepts

• Foundations — What agent memory is, why it matters, and the core taxonomy
• Techniques — The engineering building blocks: retrieval, graphs, compression, reflection, and more