[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjcxMTY","title","AI Agents Memory empowered by Knowledge Graphs","state","published","contactAuthorMethod","email","aboutText","

I built a few conversational agents that are privacy-focused, and we realized that we need a memory.

It is a compilation of my Medium articles on graph and memory topics. We need a memory to make the agent smart, and this book is not a solution, nor does it guide you on how to build a memory. Still, it explains how knowledge graphs and metagraphs are essential for memory and how to build a better memory for AI agents based on the graph approach. So it's a graph book, actually, but with the artificial intelligence flavour.

We will touch:

Why is memory not RAG
how to model AI memory
graphs
graph evolution for a memory
meta and hypergraphs
temporal aspect of memory
event graphs
casual graph
semantic space time

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