zep
Zep | Examples, Integrations, & More
What is it?
What it is
Zep is a memory layer for AI assistants. It provides long-term memory, fact extraction, and conversation history with temporal knowledge graphs for personalized AI apps.
Why it exists
LLMs are stateless. Zep gives agents persistent memory across sessions with automatic fact extraction and semantic search.
Who should use it
Developers building AI assistants, copilots, or agents that need to remember users across conversations.
Who should avoid it
Stateless single-turn applications with no memory requirements.
How it works
A quick walkthrough in plain English
How Zep gives your AI a memory
Step 1 of 4
A user chats with your app
Every message in the conversation is sent to Zep.
Features
Advantages
- Purpose-built for agent memory
- Reduces hallucination via grounded facts
- Easy SDK integration
- Open-source server
Disadvantages
- Adds infrastructure dependency
- Cloud features require Zep Cloud account
- Learning curve for graph concepts
Installation
docker
docker compose -f docker-compose.ce.yaml up -d
native
pip install zep-python # Connect to Zep server at http://localhost:8000
FAQ
Zep vs vector DB?
Vector DBs store embeddings. Zep adds fact extraction, temporal graphs, and session management purpose-built for AI memory.
Does Zep work with LangChain?
Yes. Zep has LangChain integrations for memory retrieval.
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