Zep
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Zep
Context engineering platform providing AI agents with personalized memory. Uses Graph RAG and business data to reduce hallucinations and improve reliability.
General Information about Zep
Zep is a context engineering platform designed to provide AI agents with personalized and reliable information systematically. Its primary function is to unify user preferences, specific traits, and business data into an optimized workflow that improves response accuracy and enables hallucination reduction in AI applications.
The tool's technology is based on a combination of Graph RAG, agent memory, and advanced context assembly capabilities. Unlike traditional static RAG systems, Zep utilizes a temporal knowledge graph. In this graph, nodes represent entities and edges represent facts or relationships that are dynamically updated in response to new data. A standout feature is fact invalidation: when new information enters that contradicts a previous data point, the system logs the exact moment that fact ceased to be valid, ensuring the agent always works with current information.
Zep’s technical operation is divided into three key stages:
- Data Ingestion: Allows for the processing of chat messages, JSON files, emails, and documents. The system automatically extracts entities, relationships, and relevant facts.
- Graph Construction: Data is integrated into a User Graph or a system graph that evolves with every interaction, maintaining information traceability.
- Context Assembly: When the agent requires information, the tool generates a Zep Context Block. This is a text block optimized for large language models (LLMs) that includes a user summary and the most relevant facts from the graph with their respective validity date ranges.
This platform is especially useful for developers and engineering leaders looking to create voice agents, technical support assistants, or personalized sales tools. Thanks to its architecture, it offers retrieval latency of less than 200 ms, making it ideal for applications requiring immediate responses on a mobile device or computer without sacrificing context quality.
Key functional capabilities and benefits include:
- Persistent Memory: Captures state changes and integrates new user behavior data over time.
- Advanced Personalization: Allows for the definition of custom instructions to guide the generation of entity summaries.
- Domain Modeling: Supports the use of Pydantic-like classes to customize the creation and retrieval of sector-specific entities and relationships, such as healthcare or e-commerce.
- Seamless Integration: Compatible with leading agent frameworks, allowing for implementation with just a few lines of code.
By centralizing chat memory and business data into a single pipeline, Zep solves the problem of fragmented context, allowing AI agents to reason coherently about data evolution.
Features and Use Cases of Zep
How Zep Works
Frequently Asked Questions about Zep
What is Zep, and how is it used in AI agent development?
Zep is a context engineering platform that organizes user data and preferences to build more personalized and reliable AI agents.
How does Zep help reduce hallucinations in large language models?
The tool utilizes Graph RAG and agent memory to provide accurate, up-to-date context that drastically improves the relevance of generated responses.
What is the purpose of the User Graph within the Zep platform?
It is a specialized graph that stores personalized context and conversation thread history for every individual user of your application.
How does Zep handle information that becomes outdated over time?
The system uses a fact invalidation mechanism that tracks when a piece of data is no longer accurate to keep the knowledge graph constantly updated.
What is the data retrieval latency offered by Zep?
The service is optimized for real-time applications and offers a context retrieval latency of less than 200 milliseconds.
What exactly counts as an "episode" in Zep's billing model?
An episode is any data object sent to the platform, such as a chat message or a text block, that does not exceed 350 bytes.
What data formats can I integrate into Zep’s knowledge graph?
You can ingest data directly in JSON, plain text, or conversation messages from emails and customer relationship management (CRM) systems.
Is it possible to customize how Zep generates user summaries?
Yes, you can use custom summarization instructions to guide information generation and tailor the context to your specific business needs.
Does Zep meet security standards for enterprise use?
Yes, the platform is SOC 2 Type II certified and offers HIPAA Business Associate Agreements (BAAs) for Enterprise plan customers.
Zep Pricing
Free Plan
Price: Free.
- 1,000 credits (episodes) per month.
- Low rate limits that vary based on service load.
- Reduced priority episode processing.
Flex Plan
Price: 25 $/month.
- Includes 20,000 credits per month.
- Automatic top-up of 20,000 additional credits for 25 $ when balance falls below 20%.
- 600 requests per minute limit.
- Up to 5 projects.
- 10 custom entity types and relationships (edges).
- Unlimited memories, retrievals, and users.
- Unused credits roll over for up to 60 days.
Flex Plus Plan
Price: 475 $/month.
- Includes 300,000 credits per month.
- Automatic top-up of 100,000 additional credits for 125 $ when balance falls below 20%.
- 1,000 requests per minute limit.
- Up to 5 projects.
- 20 custom entity types and relationships (edges).
- Custom extraction instructions.
- Access to Webhooks and API logs (7-day retention).
- Unlimited memories, retrievals, and users.
Enterprise Plan
Price: Contact Sales.
- SOC 2 Type II certification and HIPAA BAA compliance.
- Custom rate limits guaranteed by contract.
- Dedicated Slack support and a dedicated account manager.
- Audit logs, API logs, and SLA guarantees.
- Flexible deployment options: Managed Cloud, Bring Your Own Key (BYOK), Bring Your Own Model (BYOM), or Bring Your Own Cloud (BYOC on AWS, GCP, or Azure).
Zep Screenshots
