Shape agent memory with ontologies
- Play from Introduction
- Play from Setting the Stage: Agent Memory & Knowledge Layers
- Play from How Ontologies Shape What Agents Remember
- Play from The Three Memory Types: Short-Term, Long-Term & Reasoning
- Play from Entity Extraction Pipeline: spaCy, GLINER2 & LLM Stages
- Play from Agent Frameworks & Multi-Agent Memory Architectures
- Play from Q&A: Separate Database or Combined with Domain Data?
- Play from NAMS: Neo4j Agent Memory Service Demo
- Play from Importing Custom Ontologies & Domain-Specific Extraction
- Play from Wrap-up
- 1Ontology Creation with the Neo4j MCP Server
- 2Supercharging Neo4j Aura Agents with Ontologies
- 3Ontologies, LLMs, Property Graphs – Do we really have a “Jaguar Problem”?
- 4Evaluating the Quality of Ontologies
- 5Neo4j Agent Memory
- 6Validating Neo4j Graphs with SHACL
- 7Agent Skills For Creating and Using Ontologies
- 8The Graph Behind the Graph: Tracing Ontology Design Decisions
- 9Shape agent memory with ontologies
- 10Actionable Knowledge For Agents With Context Graphs
- 11Unwrapping OKF (and Season 3)
Season 03 Episode 9 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Shape agent memory with ontologies
Resources mentioned
- Jesús Barrasa (opens in a new tab)
- Repository (opens in a new tab)
- Knowledge Graph Book (opens in a new tab)
- Previous Episodes
- Agent Memory (opens in a new tab)
- Neo4j Agent Memory Service (opens in a new tab)
- Create Context Graph (opens in a new tab)
- Create new ontology (opens in a new tab)
- Art Ontology (opens in a new tab)
GenAI & GraphRAGKnowledge graphs


