
Build fast, accurate, and personalized agents with the only platform that systematically engineers relevant context from chat history and business data.
Zep transforms conversations, business data, & user interactions into a living knowledge graph that evolves with every interaction. Relevant and accurate context is automatically assembled into a context block when you need it.
Automatic extraction of entities, relationships, and facts from conversations and business data, reconciling new information with existing data to maintain accuracy.
When your agent needs context, Zep searches the knowledge graph and returns the most relevant information.
Zep delivers structured, LLM-ready context combining user traits, interactions, and business data while being token efficient.
See how teams are transforming their AI applications with Zep
“Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.”
“Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.”
Deploy personalized agents in days, not months. Enterprise-grade compliance meets developer-friendly APIs.
Zep adapts to your business through custom entity types and relationship models. These models enable precision recall of exactly the required context, so your agents understand your business domain, not just generic conversations.
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