Zep

A context engineering and memory layer for AI agents that assembles real-time chat history, business data, and user preferences into a temporal knowledge graph for more accurate LLM responses.

Founded by: Daniel Chalefin 2023

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A context engineering and memory layer for AI agents that assembles real-time chat history, business data, and user preferences into a temporal knowledge graph for more accurate LLM responses.

Founded by: Daniel Chalefin 2023

You can use Zep to build memory and context systems for AI agents. It connects to your chat history, business data, and user interactions to create a unified context graph. The system automatically extracts entities, relationships, and facts from your data. When your AI agent needs context, Zep retrieves relevant information and formats it for your language model. It handles real-time updates and can invalidate outdated facts as new information comes in.

Integrations

n8n

Use Cases

Build customer support agents that remember past interactions

Create sales agents that track lead preferences and buying signals

Develop personalized shopping assistants for e-commerce

Build educational agents that adapt to student learning patterns

Create healthcare agents that maintain patient interaction history

Develop financial advisors that track client investment preferences

Standout Features

Builds unified context graphs from multiple data sources

Extracts entities and relationships automatically

Invalidates outdated facts when new information arrives

Retrieves context in under 200ms

Works with any agent framework

Integrates with three lines of code

Tasks it helps with

Ingest chat messages and business data automatically

Extract entities and relationships from conversations

Build temporal knowledge graphs that evolve over time

Retrieve relevant context for AI agent queries

Format context data for language model consumption

Track fact changes and invalidate outdated information

Who is it for?

AI Engineer, Machine Learning Engineer, Software Engineer, Back-End Developer, Full-Stack Developer, AI Research Scientist, Product Manager, CTO, Data Scientist, DevOps Engineer

Overall Web Sentiment

People love it

Time to value

Quick Setup (< 1 hour)

Tutorials

Reviews

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