Neo4j Agent Memory
- Play from Intro & welcome: Agent memory and decision tracing
- Play from Introducing Jesus & today’s focus on agent memory
- Play from Why graph-based memory matters for AI agents
- Play from Overview of Neo4j Agent Memory (short-term, long-term, reasoning)
- Play from Setting up the demo: Aura instance & memory client
- Play from Short-term memory: capturing conversation messages
- Play from Long-term memory: entities, preferences & facts
- Play from Reasoning memory: capturing agent traces & decisions
- Play from Integrating memory into an assistant (live example)
- Play from Context graph vs knowledge graph discussion
- Play from Wrap-up, GraphAcademy & NODES AI
- 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 5 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Neo4j Agent Memory
Resources mentioned
GenAI & GraphRAGKnowledge graphs
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