Ep61: William Lyon on Knowledge Graphs + Agentic Memory

For the first time ever, Jennifer welcomes a guest to the show! William Lyon gives us a deep dive into the evolving world of AI agents, knowledge graphs, and the concept of memory in artificial intelligence.

Episode highlights:

• William’s career journey: from Neo4j to startups and back again
• The role of knowledge graphs in agentic memory and reasoning
• Types of memory in AI agents: episodic, procedural, and more
• How knowledge graphs can model both user-facing and operational memory
• The importance of domain-specific data modeling for AI memory systems
• William’s AI Memory Landscape project: cataloging tools, frameworks, and services in the AI agent memory space
• Contributions to the project are open, so submit a PR or request!
• Advice for developers architecting AI agents with memory

Other referenced links:

• GraphStuff.FM podcast
• AI Memory Landscape project: https://ai-memory-landscape.netlify.app/

Connect with William Lyon:

• Website: https://lyonwj.com/

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