Source Document
Bigger context windows do not give an AI agent structure. They simply give it more text to scroll through, which can lead to hallucinations or missed details.
The alternative runs like a pipeline: raw documents are processed to extract entities and relationships. These are then stored in a persistent knowledge graph.
This structured memory allows specialized agents to coordinate inside one graph pipeline. Each stage is buildable, inspectable and queryable.
Using tools like Google ADK and Neo4j, persistent graphs could become the foundational memory layer for AI agents, replacing raw context windows.
Knowledge Graph