Graphiti is an open-source Python framework designed to create dynamic, real-time memory systems for AI agents, using temporally aware knowledge graphs built on Neo4j. Unlike traditional RAG systems that struggle with frequently updated data, Graphiti provides continuous updates without the need for extensive recomputation, ensuring low-latency retrieval and historical accuracy. It integrates multiple data sources, supports custom entity types, and eliminates the need for LLM-driven summarization at query time, making it ideal for interactive, real-world AI applications.
Table of contents
Graphiti: Knowledge Graph Memory for a Post-RAG Agentic WorldGraphRAG: Optimized for Static DataGraphiti: Real-Time Dynamic Agent MemoryWhy Graphiti Works Better With Dynamic DataFast Query Speeds: Instant Retrieval Without LLM CallsCustom Entity Types: A Simple Ontology ImplementationKey ComparisonGraph Memory Powering an Agentic FutureSort: