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Ep61: William Lyon on Knowledge Graphs + Agentic Memory
Manage episode 522834111 series 3579839
jmhreif द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री jmhreif या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
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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