Going Meta S03E05 – Neo4j Agent Memory
Season 03 Episode 5 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Neo4j Agent Memory
Jesús Barrasa: https://twitter.com/BarrasaDV
Repository: https://github.com/jbarrasa/goingmeta
GraphAcademy free online courses - https://graphacademy.neo4j.com/
Knowledge Graph Book: https://bit.ly/3LaqE6b
Previous Episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/
Chapters
- 00:00Intro & welcome: Agent memory and decision tracing
- 01:49Introducing Jesus & today’s focus on agent memory
- 04:17Why graph-based memory matters for AI agents
- 06:53Overview of Neo4j Agent Memory (short-term, long-term, reasoning)
- 09:49Setting up the demo: Aura instance & memory client
- 11:00Short-term memory: capturing conversation messages
- 20:16Long-term memory: entities, preferences & facts
- 30:58Reasoning memory: capturing agent traces & decisions
- 41:00Integrating memory into an assistant (live example)
- 49:02Context graph vs knowledge graph discussion
- 58:00Wrap-up, GraphAcademy & NODES AI
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