Zep
Long-term memory and session management for AI assistants
About
Memory and session management platform for AI assistants. Automatically extracts facts, preferences, and entities from conversations and surfaces them as structured memory. Supports temporal reasoning — knowing what was discussed last week versus now.
Choose Zep when…
- •You're building a conversational AI assistant that needs session continuity
- •You need structured fact and entity extraction from conversation history
- •You want temporal memory — your AI knowing when it learned something
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Persistent memory layers that give AI agents long-term recall of users, sessions, and context across conversations
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zep-pythonZEP_API_URLZEP_API_KEYIntegrates with (4)
Zep ships a first-party LangGraph integration that loads temporal-graph memory into each node's state and writes new facts back.
→ Add temporal, graph-structured memory to LangGraph agents with a few lines of config.
Zep provides a LangChain memory class so chat chains and agents read and write through Zep's temporal knowledge graph instead of a flat buffer.
→ Replace LangChain's default conversation memory with Zep when temporal accuracy and graph reasoning matter.
Zep uses OpenAI embeddings and chat completions to extract facts, summarise sessions, and build its temporal knowledge graph.
→ Power Zep memory with OpenAI models without changing your application's existing OpenAI client setup.
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