Most AI agents forget everything the moment a conversation ends. They cannot explain their decisions. And knowledge learned by one agent instance is never shared with another. This module names those three gaps, introduces the memory architecture that closes them, and gets a working demo running in your own Neo4j instance.
By the end of this module, you will:
-
Explain the three gaps in modern AI agent systems
-
Describe how short-term, long-term, and reasoning memory relate as connected subgraphs in a single Neo4j database
-
Explain why Neo4j is architecturally suited to agent memory in a way that vector databases and relational databases are not
-
Install and configure
neo4j-agent-memoryagainst a live Neo4j instance