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Ep61: William Lyon on Knowledge Graphs + Agentic Memory
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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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