DEFINITION
Graph-Backed Memory
Graph-Backed AI Memory Systems
Definition
A memory architecture for AI agents that uses graph databases to store facts as subject/property/value triples. Enables semantic reasoning but requires contradiction detection to prevent conflicting facts from corrupting agent logic.
Examples in the Wild
- Example 1:GraphRAG systems storing entity relationships
- Example 2:Agent memory layers maintaining facts about users or entities
- Example 3:Knowledge graphs used for multi-hop reasoning