Neo4j Live: AgentMemory for .NET: Persistent AI Agent Memory Engine
.NET developers building AI agents have felt this gap: Neo4j Agent Memory shipped for Python and TypeScript, but .NET was left bolting things together. José L. Latorre closes it with AgentMemory for .NET - a from-scratch implementation verified 178/178 against Neo4j's own Agent Memory Test Compatibility Kit. In this livestream, he shows how the same three memory layers - short-term, long-term (POLE+O), and reasoning - now live natively in .NET, wired straight into Microsoft Agent Framework and Semantic Kernel, so your agent remembers by design, not by hoping it calls the right tool at the right time.
Guest: Jose Latorre ( https://www.linkedin.com/in/joslat/ )
Blog: https://neo4j.com/blog/developer/agentmemory-for-net-a-native-sibling-to-neo4j-agent-memory/
Chapters
- 00:00Introduction
- 02:32Jose's Inspiration: From Sci-Fi Robots to Agent Memory
- 08:47Agent Memory Basics: Context, RAG & Graph RAG Explained
- 17:53Surveying the Memory Landscape: Mem0, Graphiti & Others
- 20:54Choosing Storage: Files vs. Vector DBs vs. Graphs
- 24:29Building Agent Memory for .NET & the POLE Schema
- 27:56Live Demo: Inside the Memory Brain
- 32:56Voice Interaction, Alice in Wonderland & Forgetting
- 43:42Performance Optimization & Benchmarking Results
- 47:46Roadmap: Extensibility, Skill Distillation & Auto-Learning
- 52:03Behavioral Memory & Alignment Research
- 54:32Audience Q&A & Closing
Related Videos
070 ESG Supply Chain Knowledge Graph – NODES2022 – Dr. Julian Gruemmer
Introducing Workspace — The Fastest Way To Build Your Neo4j Database
