Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World

Graphiti, an open-source framework developed by Zep AI, is designed to provide a real-time dynamic memory layer for autonomous agents in post-RAG (retrieval-augmented generation) systems. Unlike traditional RAG approaches that struggle with frequent updates, Graphiti's temporally aware knowledge graph engine incrementally processes incoming data, instantly updating entities, relationships, and communities without batch recomputation. This allows it to provide a unified, evolving view of the agent's world, handling chat histories, structured JSON data, and unstructured text from multiple sources. Graphiti achieves low-latency retrieval through its hybrid search approach, combining semantic embeddings, keyword search, and direct graph traversal, making it suitable for real-time interactions. The framework also offers custom entity types using Pydantic models to enhance context extraction and improve the quality of agent interactions.

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