Build human-like memory for your Agents (open-source)! Every agentic and RAG system struggles with real-time knowledge updates and fast data retrieval. Zep solves these issues with its continuously evolving and temporally-aware Knowledge Graph. Like humans, Zep organizes an Agent's memories into episodes, extracts entities and their relationships from these episodes, and stores them in a knowledge graph: (refer to the image below as you read) 1) Episode Subgraph: Captures raw data with timestamps, retaining every detail for easy historical lookup. 2) Semantic Entity Subgraph: Extracts entities (e.g., “Alice,” “Google”) and facts (“Alice works at Google”). Everything is versioned, so outdated info gets replaced. 3) Community Subgraph: Groups related entities into clusters, with summaries for faster retrieval. Zep delivers up to 18.5% higher accuracy with 90% lower latency when compared to tools like MemGPT. It's fully open-source!

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