Zep

Zep is an advanced context engineering platform designed to empower developers to build sophisticated AI agents with persistent, long-term memory. Moving beyond simple prompt engineering, Zep focuses on systematically providing all the necessary context—user history, business data, and conversational nuances—to a Large Language Model (LLM) for reliable and accurate task completion. The platform's core innovation lies in its ability to transform conversations and data into a temporal knowledge graph that evolves with every interaction, ensuring that AI agents are always equipped with the most relevant and up-to-date information.

At its heart, Zep addresses the fundamental limitation of stateless LLMs, which lack memory of past interactions. By creating a living knowledge graph, Zep allows agents to remember user preferences, previous conversations, and critical business context, eliminating the need for users to repeat themselves and enabling truly personalized experiences. This is achieved through a combination of automatic entity extraction, relationship mapping, and fact reconciliation, which keeps the knowledge base accurate and coherent over time.

How to use Zep

Zep is designed for seamless integration into existing AI development workflows, particularly for developers using frameworks like LangChain and LangGraph. Getting started is straightforward and can be done with just a few lines of code.

1. Sign Up & Get API Keys: Start with the free tier on the Zep website to get your API credentials. No credit card is required for the initial setup.
2. Install the Zep Client: Integrate the Zep client library into your Python application.
3. Add Conversations to Memory: In your agent's code, use a simple function call to add new messages to a user's session memory. For example: zep.memory.add(session_id, messages). Zep automatically processes this conversation, extracts facts and entities, and updates the knowledge graph.
4. Retrieve Relevant Context: Before calling your LLM, retrieve the assembled context from Zep. A single call like memory = zep.memory.get(session_id) provides an optimized context block containing key facts, entities, and summaries relevant to the current interaction.
5. Ingest Business Data: Connect your business data sources (like CRM, billing systems, or support databases) by ingesting data as JSON, text, or messages. Zep integrates this information into the knowledge graph, making it available for retrieval.

Core Features of Zep

• Agent Memory: Provides agents with a perfect, persistent memory of user preferences, past conversations, and key details across all interactions, ensuring conversational continuity.
• Graph RAG: A super-fast Retrieval-Augmented Generation system built on a knowledge graph. It understands complex relationships and context within your business data, handling dynamic information in milliseconds.
• Automated Context Assembly: Automatically constructs structured, LLM-ready context blocks. It combines user traits, interaction history, and business data into a token-efficient format, eliminating the need for manual prompt crafting.
• Temporal Knowledge Graph Construction: Automatically extracts entities, relationships, and facts from unstructured conversations and structured data. It reconciles new information with existing data, even invalidating outdated facts to maintain accuracy over time.
• Enterprise-Grade Compliance: Offers SOC 2 Type II certification and is HIPAA compliant, making it suitable for applications in regulated industries like healthcare.

Use Cases for Zep

Zep's capabilities are applicable across various domains to create highly personalized and efficient AI agents:

• Customer Support: Agents can access a customer's entire interaction history, previous issues, and account details to provide fast, accurate, and personalized support without asking repetitive questions.
• Sales and Marketing: Sales agents can recall a lead's preferences, product interests, past pricing discussions, and engagement patterns to personalize outreach and accelerate the sales cycle.
• E-commerce: Personalize shopping experiences by remembering a user's style preferences, purchase history, and even recent complaints (e.g., a shoe falling apart), allowing the agent to make highly relevant recommendations.
• Healthcare: HIPAA-compliant agents can securely manage patient interaction history, helping with appointment scheduling, follow-ups, and providing information while maintaining context and privacy.
• Education: AI tutors can remember a student's learning progress, areas of difficulty, and preferred learning styles to create adaptive and effective educational experiences.

Advantages of Zep

Zep offers significant performance and efficiency gains for AI applications:

• Drastic Accuracy Improvements: By providing the right context, Zep achieves over 100% accuracy improvements in agent performance on complex tasks.
• Reduced Latency: Optimized context retrieval and assembly lead to a 90% reduction in latency, enabling real-time interactions.
• High Token Efficiency: Smart context assembly reduces token usage by up to 98%, lowering operational costs while maintaining comprehensive understanding.
• Rapid Development: Developers can deploy personalized agents in days instead of months, avoiding the need to build complex memory and retrieval infrastructure from scratch.
• Scalable and Secure: Built for teams and proven at scale, Zep offers enterprise-grade security, including SOC 2 and HIPAA compliance, and options for private cloud deployment (BYOC).

Pricing and Plans

Zep offers a flexible, usage-based pricing model suitable for projects of all sizes.

• Metered Plan (Freemium): This plan is perfect for developers and growing applications. It includes a generous free tier with 2,500 messages and 2.5MB of graph data per month. After the free quota, pricing is $1.25 per 1,000 messages and $2.50 per MB of graph data.
• Enterprise Plan: Designed for mission-critical applications, this plan offers custom limits, SOC 2 Type II certification, included HIPAA BAA, single tenancy, dedicated Slack support, and SLA guarantees.
• Enterprise BYOC (Bring Your Own Cloud): For maximum data control and security, Zep can be deployed within your own AWS, GCP, or Azure environment, ensuring data never leaves your security perimeter.
• Startup Credit: VC-funded startups can apply for a $2,500 credit towards their subscription.