Graphiti Guide

Overview

Graphiti is an open-source framework for building and querying dynamic, temporally-aware knowledge graphs designed specifically for AI agent applications. Developed by Zep, Graphiti enables agents to maintain persistent, structured memory that evolves over time, capturing entities, relationships, and facts extracted from conversational and documentary sources.

Traditional knowledge graphs are static structures that require manual curation and batch updates. Graphiti takes a fundamentally different approach: it incrementally builds and updates the graph in real-time as new information arrives, resolving contradictions, merging duplicate entities, and maintaining temporal metadata that tracks when facts were established and whether they remain current.

For academic researchers, Graphiti offers a powerful framework for constructing domain-specific knowledge graphs from research literature, experimental observations, and collaborative discussions. With over 23,000 GitHub stars, the project has gained significant traction in both the AI engineering and research communities as a practical bridge between unstructured text and structured, queryable knowledge.

Installation and Setup

Install Graphiti via pip:

pip install graphiti-core

Graphiti requires a Neo4j database for graph storage. Set up Neo4j using Docker: