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Context Graphs: Agent Memory with Neo4j
Course · Part of Build a Neo4j-backed Application
Context Graphs: Agent Memory with Neo4j
20 lessons across 4 modules
Intermediate
Build a Neo4j-backed Application
GenAI
Context Engineer
Generative AI & GraphRAG
About this course
In this course, you will learn
Context Graphs
Agent Memory
neo4j-agent-memory
Reasoning Traces
POLE+O
Course content
4 modules,
20 lessons
.
01
Introduction to Agent Memory
5 lessons
1.1
The Three Gaps
6 min
1.2
The Three Memory Types
6 min
1.3
Why Graphs for Agent Memory
5 min
1.4
Installation and Configuration
4 min
1.5
The Complete Memory API
8 min
02
Short-Term Memory
4 lessons
2.1
The Stateless Agent Problem
4 min
2.2
Short-Term Memory
4 min
2.3
The Short-Term Memory API
5 min
2.4
How Messages Connect to Long-Term Memory
3 min
03
Long-Term Memory
5 lessons
3.1
The Persistent Knowledge Problem
4 min
3.2
The long-term memory schema
5 min
3.3
Why graphs over vector embeddings
5 min
3.4
Entity Extraction Pipeline
5 min
3.5
The Long-Term Memory API
5 min
04
Context Graphs and Reasoning Memory
6 lessons
4.1
The Auditability Problem
4 min
4.2
What is a context graph?
6 min
4.3
The reasoning memory schema
6 min
4.4
Recording Reasoning Traces
4 min
4.5
Querying the Trace Graph
5 min
4.6
Build and run the agent
6 min
Where to next
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Build a Neo4j-backed Application
.
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