Zep AI, Inc.
Zep builds the context engineering foundation for AI agents, providing a memory layer that recalls relevant chat history, business data, and user behavior to enable personalized and reliable responses.
At a Glance
- AI Startups
- Enterprise Engineering Teams
- Developer Tools Platforms
AI Tools by Zep AI, Inc.
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Zep
AI Agent Context Engineering
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Latest News
Zep introduces steerable user summaries for personalized AI agents
Zep announces feature retirements and migration paths for legacy memory features
Announcing Graphiti: A New Direction for Zep's Open Source Strategy
Zep introduces Entity Types for structured AI agent memory
Products & Services
A managed context engineering platform that provides long-term memory, fact extraction, and context assembly for AI agents via API.
An open-source temporal context-graph library for building and managing evolving knowledge graphs for AI applications.
Market Position
Zep positions itself as a specialized context engineering platform that outperforms general-purpose RAG (Retrieval-Augmented Generation) solutions by focusing on temporal facts and relationship mapping specifically for agentic workflows.
Leadership
Founders
Daniel Chalef
Engineer and serial entrepreneur. Previously Founder and CEO of KnowledgeTree (open source document management) and VP of Data Science at SparkPost (acquired by MessageBird). Also an early contributor to the open-source community.
Executive Team
Daniel Chalef
Founder and CEO
Technical leader with experience in data science and open-source software. Former CEO of KnowledgeTree and VP at SparkPost.
Andre Adeyemi
Chief of Staff (Former)
Previously in operations and recruitment, transitioned to a role in the San Francisco Mayor's administration in 2025.
Board of Directors
Founding Story
Founded by Daniel Chalef, an engineer and serial open-source founder, Zep was created to address the 'context engineering' challenge in AI development. Chalef recognized that simple chat history was insufficient for advanced AI agents to maintain long-term, evolving knowledge, leading him to build a platform centered on temporal knowledge graphs.
Business Model
Revenue Model
SaaS with usage-based billing and monthly subscriptions.
Pricing Tiers
1,000 credits, full API access, no credit card required.
20,000 credits included; additional usage at $1.25 per 1k messages and $2.50 per MB.
Dedicated support, SSO, custom SLAs, and higher scale.
Target Markets
- AI Startups
- Enterprise Engineering Teams
- Developer Tools Platforms
- AI Customer Support Agents
- Sales and Marketing Personalization
- Voice and Video AI Assistants
- Long-term User Profiling for E-commerce
- FlockX
- Athena Intelligence
- V7 Labs