Zep
Production-ready AI memory layer that enables agents to learn from user interactions and business data, leveraging a temporal knowledge graph for accurate, personalized, and scalable AI experiences.
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Product Overview
What is Zep?
Zep is an advanced memory infrastructure for AI assistants and agents, designed to continuously learn from ongoing user interactions and evolving business data. By integrating chat histories, business data, and unstructured text into a temporal knowledge graph, Zep empowers AI agents to recall relevant facts, adapt to changes, and deliver highly personalized responses. Its architecture supports rapid, low-latency retrieval at scale, compliance with enterprise privacy standards, and seamless integration with popular AI frameworks like LangChain and LlamaIndex. Zep is available as both a managed cloud service and an open-source solution, supporting Python, TypeScript, and Go SDKs.
Key Features
Temporal Knowledge Graph Memory
Automatically builds and updates a knowledge graph from chat, business data, and unstructured text, enabling agents to reason about state changes and maintain historical context for each user.
Personalized and Adaptive AI Agents
Continuously learns from user interactions, allowing agents to deliver tailored, context-aware responses based on evolving user preferences and business data.
Fast, Scalable Retrieval
Delivers millisecond-level memory access and scales effortlessly to millions of users and facts, ensuring low latency even as data grows.
Easy Integration and Multi-Language SDKs
Provides high-level APIs and SDKs for Python, TypeScript, and Go, with built-in support for LangChain, LlamaIndex, and other AI frameworks.
Enterprise-Grade Security and Compliance
Offers SOC 2 Type II certification, privacy controls, and deployment flexibility (cloud or BYOC), supporting GDPR and CCPA compliance.
Asynchronous Summarization and Vector Search
Automatically summarizes chat histories and embeds messages for efficient semantic and vector-based retrieval, reducing hallucinations and inference costs.
Use Cases
- Personalized AI Assistants : Power chatbots and virtual agents that recall individual user histories, preferences, and evolving needs for more relevant interactions.
- Enterprise Support Automation : Enable support agents to instantly access user-specific facts and business context, improving resolution accuracy and customer satisfaction.
- Knowledge Management for Teams : Aggregate and retrieve organizational knowledge across groups, supporting collaborative workflows and consistent information delivery.
- Compliance and Audit Trails : Track changes in user state and business data over time, enabling transparent data provenance and regulatory compliance.
- AI Application Development : Accelerate building of AI-powered apps by offloading memory persistence, search, and enrichment infrastructure to Zepโs robust APIs.
FAQs
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Analytics of Zep Website
๐บ๐ธ US: 45.12%
๐ฎ๐ณ IN: 7.89%
๐จ๐ฆ CA: 4.36%
๐ซ๐ท FR: 3.5%
๐ง๐ท BR: 3.38%
Others: 35.75%
