What is Zep?
Zep is a developer platform that offers essential infrastructure components for building LLM-powered applications. It specializes in providing persistent memory and knowledge retrieval capabilities that go beyond simple prompt engineering. With Zep, developers can equip their AI systems with long-term memory, enabling them to recall past conversations, user preferences, and contextual information across sessions. The platform supports retrieval-augmented generation (RAG) with vector search, hybrid search (text + metadata), and incremental summarization to keep context windows manageable. Zep is designed for low latency and high throughput, making it suitable for real-time conversational applications. It offers a fully managed cloud service or self-hosted deployment options. Key features include chat history storage, entity extraction, semantic caching, and integration with popular LLM frameworks like LangChain, LlamaIndex, and OpenAI. Zep also provides tools for debugging and observability, helping developers monitor memory usage and retrieval quality. Whether you're building a customer support chatbot, a virtual assistant, or an AI tutor, Zep reduces the complexity of managing state and knowledge.
Use Cases
Key Features
Persistent long-term memory for LLMs Retrieval-Augmented Generation (RAG) with vector and hybrid search Chat history management and incremental summarization API-first design with SDKs for Python and JavaScript Integrations with LangChain LlamaIndex and OpenAI Observability and debugging tools for memory and retrievalWho is it for?
Developers and engineering teams building LLM, powered applications, chatbots, and AI assistants.
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