Amazon Neptune now integrates with Cognee for graph-native memory in GenAI Applications

Today, we’re announcing the integration of Amazon Neptune Analytics with Cognee, a leading agentic memory framework designed to help AI agents structure, retrieve, and reason over information. With this launch, customers can use Neptune as the graph store behind Cognee’s memory layer, enabling long-term memory and reasoning capabilities for agentic AI applications.

This integration allows Cognee users to store and query memory graphs at scale, unlocking advanced use cases where AI agents become more personalized and effective over time by learning from ongoing interactions. Neptune supports multi-hop graph reasoning and hybrid retrieval across graph, vector, and keyword modalities—helping Cognee deliver richer, more context-aware AI experiences.

Cognee enables a self-improving memory system that helps developers build cost-efficient, personalized generative AI applications. To learn more about the Neptune–Cognee integration, visit the User Guide and the sample notebook.