Going Meta S03E09 – Shape agent memory with ontologies

Season 03 Episode 9 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Shape agent memory with ontologies

Jesús Barrasa: https://twitter.com/BarrasaDV
Repository: https://github.com/jbarrasa/goingmeta
Knowledge Graph Book: https://bit.ly/3LaqE6b
Previous Episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/

Agent Memory: https://github.com/neo4j-labs/agent-memory
Neo4j Agent Memory Service: https://memory.neo4jlabs.com/
Create Context Graph: https://create-context-graph.dev/
Create new ontology: https://create-context-graph.dev/docs/tutorials/customizing-domain-ontology
Art Ontology: https://github.com/jbarrasa/goingmeta/blob/ee0f723eb667f548b1dab30b3e1156252ad495a9/session31/ontos/art.ttl#l300

0:00 Introduction
2:35 Setting the Stage: Agent Memory & Knowledge Layers
5:25 How Ontologies Shape What Agents Remember
9:17 The Three Memory Types: Short-Term, Long-Term & Reasoning
13:40 Entity Extraction Pipeline: spaCy, GLINER2 & LLM Stages
20:15 Agent Frameworks & Multi-Agent Memory Architectures
27:00 Q&A: Separate Database or Combined with Domain Data?
30:27 NAMS: Neo4j Agent Memory Service Demo
44:54 Importing Custom Ontologies & Domain-Specific Extraction
56:00 Wrap-up

#graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data #agenticai #memory