Graph Chat with William Lyon on AI Agents, Graph Memory, and the Return to Neo4j

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In this chat, Amy Hodler catches up with William Lyon to discuss his recent return to the Neo4j Product Team and his deep dive into the world of AI agent frameworks and memory.Wil discusses his hands-on workshop exploring a fascinating frontier: Graphs as the Memory for AI Agents. Moving beyond simple retrieval, Will explains how we can use graph technology to mirror human cognitive functions, including:Episodic Memory: Learning from user interactions.Semantic Memory: Building a canonical model of the world.Procedural Memory: Unlocking advanced, graph-based reasoning for agents.Whether you're interested in the latest in GraphRAG, the evolution of Knowledge Graphs in the age of LLMs, or just want to hear about Will’s journey through the startup ecosystem, this conversation is packed with insights that have only become more vital since they were recorded.

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