Zep

Zep: The Context Engineering Platform for AI Agents

What is Zep? Zep is a cutting-edge context engineering platform designed to empower developers in building personalized and reliable AI agents. It's more than just prompting; it's about assembling relevant information around a Large Language Model (LLM) to ensure accurate and dependable task completion.

How Does Zep Work?

Zep works by transforming conversations, business data, and user interactions into a dynamic knowledge graph that evolves with each interaction. This knowledge graph enables the platform to:

1. Construct a Knowledge Graph: Automatically extracts entities, relationships, and facts from conversations and business data.
2. Retrieve Relevant Information: Searches the knowledge graph to find the most relevant information when the agent needs context.
3. Assemble Context: Delivers structured, LLM-ready context, optimized for token efficiency.

Key Features and Benefits

• Agent Memory: Allows agents to remember user preferences, past conversations, and business context across all interactions.
• Graph RAG: Provides fast Graph Retrieval Augmented Generation (RAG) for dynamic data, connecting agents to business data with an understanding of relationships and context.
• Context Assembly: Automates the creation of optimized prompts, assembling user memory and business context for reliable agent performance.

Why Choose Zep?

• Improved Agent Performance: Agents perform better when provided with the right context at the right time.
• Reduced Latency: Optimized context retrieval delivers the right information without overwhelming LLMs.
• Token Efficiency: Smart context assembly reduces token usage while maintaining comprehensive understanding.

Who is Zep for?

Zep is designed for developers and engineering teams looking to deploy AI agents that understand their users and business context. It is particularly useful for:

• Sales and Marketing: Store lead preferences, product interests, and campaign interactions.
• Customer Support: Understand customer history and provide personalized support.
• E-commerce: Offer tailored product recommendations and customer experiences.
• Healthcare: Ensuring precision recall of context for healthcare applications.

Zep's Capabilities

• Context Orchestration: Orchestrates context for reliable task completion.
• Agent Memory: Deploys agents with perfect memory, remembering user preferences and past interactions.
• Graph RAG: Connects agents to business data with Graph RAG for dynamic data handling.
• Search Tools: Provides tools for efficient context retrieval.
• Context Assembly: Automates the creation of context for optimized prompts.
• Tool Integration: Integrates with LangChain, LangGraph, and popular frameworks.

Context Engineering vs. Prompt Engineering

Context engineering goes beyond simple prompting by dynamically integrating user preferences, conversation history, and business data. It addresses the issue of agents failing due to missing personalized context by creating temporal knowledge graphs to organize and retrieve context for each interaction.

Industry Recognition

Zep has garnered praise from industry leaders:

• Ken Collins, VP of Product, Torq and GenAI Expert: "Zep is one of the most exciting things I've seen for real-world agent use cases in a long time."
• Lior Sinclair, Founder/CEO, AlphaSignal: "Zep just introduced a game-changing way for AI agents to remember and learn."
• Mark Losey, CTO at Flockx: "Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval."
• Vijay Morampudi, Senior Director - AI CoE, Axtria: "Zep AI empowers AI systems to think and remember like humans."

For Engineering Leaders

Zep offers measurable performance improvements with enterprise compliance, enabling implementation in days versus months without requiring scarce AI talent. It also delivers significant accuracy improvements through personalized context.

Getting Started with Zep

Zep offers a free tier with full API access and community support, allowing developers to start building smarter agents without a credit card. It's designed for seamless integration, requiring only three lines of code to deploy user memory.

Conclusion

Zep represents the state-of-the-art in agent memory, excelling in benchmarks that closely model enterprise use cases. Its innovative approach to context engineering empowers developers to create AI agents that understand users and business context, driving measurable improvements in performance and efficiency. By leveraging agent memory, graph RAG, and automated context assembly, Zep enables a new era of personalized and reliable AI interactions.

Best way to create personalized AI agents? Try Zep!