Zep AI is a context engineering platform designed to build personalized, context-rich AI agents by assembling relevant data—such as user preferences, traits, and business information—into a structured memory. It creates temporal knowledge graphs and agent memory layers that enable AI assistants to recall past interactions accurately without including entire chat histories in prompts.

What are the key features?

The key features include a Memory Layer for AI, which maintains long-term user context via a knowledge graph of user interactions and business data to reduce hallucinations and improve response accuracy. Temporal Knowledge Graphs track relationships and facts over time, allowing point-in-time queries and episodic processing of data. Multi-Language Support currently enables multilingual operation through compatible LLMs and prompts, with official language-specific graph creation planned for the future. Lastly, Flexible SDKs & APIs provide SDKs in Python, TypeScript, and Go with comprehensive API documentation for integration and customization needs.

What are the common use cases?

Common use cases include building user-facing chatbots that deliver accurate responses using relevant historical context, enhancing AI assistants in customer support, healthcare, and finance where persistent memory improves user engagement and operational efficiency, and automating workflows by integrating Zep with other AI workflow tools like Lindy to trigger actions based on memory sessions.

How can I troubleshoot memory recall issues?

To troubleshoot memory recall issues, you should check the knowledge graph integrity and ensure session data is logged correctly, verify API connectivity and memory management configuration, and use logs and diagnostic tools to detect errors or data invalidation issues.

How does Zep handle data management?

Zep handles data management by supporting data migration from existing AI logs or knowledge bases by transforming data into Zep’s graph format. It also provides data export and retention policies with customization to meet regulatory compliance and ensure user data portability.

What is the pricing and free usage policy?

Zep Cloud offers a free tier, with pricing based on credits where each "Episode" costs 1 credit. Charges apply primarily for ingestion and processing rather than storage.

Can I join my company project with an existing account?

You need to delete your personal account first to accept the company invitation.

Is information duplication across node summaries normal?

Yes, because each node summary describes its own relationships, some duplication is expected and intentional.

How well does Zep scale?

Zep supports millions of users per account with retrieval performance scaling near-constantly regardless of dataset size.

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Zep

4.6

• 94 views

Zep helps AI agents remember important details from past chats and business information. It builds a smart memory system using knowledge graphs to give your AI the right context for accurate, personalized answers. This means your agents avoid complex prompts and become much more reliable and efficient.

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Overview Features Use Cases FAQ Integrations Pricing

About Zep

Who It's For

Zep is for developers and engineering teams building AI agents. It helps your AI remember past conversations and important business facts. Use Zep to create agents that give personalized and accurate responses.

What You Get

You get AI agents with excellent memory. They recall user preferences and business data, giving more accurate and faster answers. Zep automatically delivers the right context, saving you from manually writing complex prompts.

How It Works

Zep turns conversations and data into a "knowledge graph" that learns. It identifies key facts and relationships. When your AI needs info, Zep quickly pulls the most relevant details. This context is then prepared efficiently for your AI, ensuring accurate responses.

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Features & Capabilities

🧠 Agent Memory & Context Orchestration

Agent Memory

Enables AI agents to perfectly recall user preferences, past conversations, and essential business context across all interactions.

Context Assembly

Automatically generates optimized, LLM-ready prompts by compiling relevant user and business context for reliable agent performance.

Context Orchestration

Dynamically integrates user preferences, conversation history, and diverse business data to ensure reliable task completion for LLMs.

🔗 Graph-Powered Data Integration

Graph RAG

Offers super-fast, relationship-aware retrieval from dynamic business data, ensuring agents access the right information quickly.

Temporal Knowledge Graph

Builds a living knowledge graph from conversations and business data, continuously evolving to track changes over time.

Custom Domain Models

Adapts to specific business needs by allowing custom entity types and relationship models for precise context recall.

🛠️ Developer & Enterprise Capabilities

Developer-Friendly APIs

Provides easy-to-use APIs designed for rapid development, enabling quick agent deployment with minimal code.

Framework Compatibility

Integrates seamlessly with leading AI agent frameworks such as LangChain and LangGraph.

Enterprise Compliance

Ensures enterprise-grade readiness with certifications like SOC2 Type 2 and HIPAA.

Performance Optimization

Delivers significant improvements in accuracy (100%+), latency reduction (90%), and token efficiency (98%) for agent operations.

Use Cases

Empowering Personalized AI Customer Support

Businesses often struggle with AI assistants lacking memory, leading to frustrating, repetitive customer interactions. Zep's Agent Memory and Context Assembly equip AI agents with long-term recall of user preferences and past interactions, enabling them to deliver accurate, personalized, and efficient support across all channels.

Customer ServiceFor: Customer Support Managers

Accelerating Sales with Context-Rich AI Agents

Sales and marketing teams frequently miss opportunities due to generic outreach and a lack of deep prospect understanding. Zep's Graph RAG and custom entity models empower sales agents to leverage comprehensive lead data, including preferences and engagement history, enabling highly personalized conversations and faster deal closures.

B2B SaaSFor: Sales Development Teams

Rapid Development of Enterprise AI Agents

Building and deploying robust, context-aware AI agents typically requires complex infrastructure and extensive development cycles. Zep simplifies this by providing a context engineering platform with developer-friendly SDKs, allowing engineering teams to quickly deploy scalable, compliant, and accurate AI agents in days instead of months.

Software DevelopmentFor: AI/ML Developers

Enhancing E-commerce Personalization with AI

E-commerce platforms face challenges in delivering truly personalized shopping experiences, as AI assistants often lack a deep understanding of individual customer history. Zep enables e-commerce AI agents to remember user preferences, past purchases, and browsing behavior through temporal knowledge graphs, leading to highly relevant product recommendations and enhanced customer satisfaction.

E-commerceFor: E-commerce Managers

Frequently asked questions

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Zep

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Visit Website

Free Option

Overview Features Use Cases FAQ Integrations Pricing