
A memory platform for AI agents that continuously learns from user interactions and business data, enhancing personalization and accuracy.
Zep is an AI memory platform designed to enhance AI assistants and agents by providing them with long-term memory capabilities. By building a dynamic knowledge graph from user interactions and business data, Zep enables AI agents to recall relevant information from past conversations without including the entire chat history in prompts. This approach reduces hallucinations, improves response accuracy, and allows for personalized user experiences. Zep integrates seamlessly with various AI frameworks and supports multiple programming languages, making it a versatile tool for developers aiming to build more intelligent and context-aware AI applications.
AI Agent Store research
Zep is best understood as agent-memory infrastructure rather than an agent-development framework. Zep provides agent memory through context graphs and retrieval infrastructure.
Last reviewed July 30, 2026
Zep provides agent memory through context graphs and retrieval infrastructure.[1]
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85%
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