# Zep AI **Source:** https://geo.sig.ai/brands/zep-ai **Vertical:** Infrastructure **Subcategory:** Cloud Services **Tier:** Emerging **Website:** getzep.com **Last Updated:** 2026-04-14 ## Summary SF AI context engineering platform providing agent memory and Graph RAG for persistent LLM recall across sessions; YC W24 $3.3M reaching $1M revenue competing with Mem0 and LangChain for AI agent memory infrastructure. ## Company Overview Zep AI is a San Francisco-based AI context engineering platform — backed by Y Combinator (W24) with $3.3 million raised from Engineering Capital, Step Function, and investors from Vercel and Google — providing AI application developers with agent memory, graph-based retrieval, and context assembly tools that enable AI agents to remember user history, recall relevant facts from previous interactions, and maintain long-term persistent state across multi-session workflows. Founded in 2023 and generating $1 million in revenue by June 2024 with a 5-person team, Zep AI addresses the fundamental challenge in production AI agent deployment: LLMs are stateless (each conversation starts fresh with no memory of prior interactions) while users expect agents to remember preferences, past decisions, and conversation history across sessions. Zep AI's context engineering platform provides three core capabilities: Agent Memory (storing structured facts extracted from conversations — user preferences, decisions made, key entities mentioned — in a graph database that enables semantic retrieval of relevant memory at inference time), Graph RAG (retrieval-augmented generation that navigates the entity relationship graph rather than performing flat vector similarity search — enabling reasoning about how concepts relate rather than just finding similar text), and Context Assembly (dynamically assembling the most relevant memories, facts, and context into the LLM prompt for each query rather than naive retrieval of recent messages). The graph-based memory representation enables queries like 'what has the user said about their budget preferences?' to retrieve relevant facts from multiple prior conversations rather than returning only the most recent message about budget. In 2025, Zep AI competes in the AI agent memory, LLM context management, and RAG infrastructure market with LangChain Memory (open-source memory abstraction in the LangChain framework), Mem0 (personalized AI memory layer, $8M raised), and MemGPT (Berkeley research project commercialized into agent memory) for AI agent developer mindshare and enterprise production adoption. The agent memory problem is one of the most actively researched challenges in production AI deployment — users of LLM applications consistently cite the lack of persistent memory as the primary limitation of chatbots and AI assistants. Zep's $1M revenue at 5 employees in the first year reflects strong product-led growth from the developer community. Y Combinator W24 backing connects Zep with the AI application developer ecosystem at the right adoption inflection point. The 2025 strategy focuses on growing enterprise adoption of Zep for production AI customer service agents (where session-to-session user memory is most critical), building the multi-agent memory sharing (shared memory graphs across specialized agents in a multi-agent system), and expanding the analytics layer for understanding what users remember and what agents learn over time. ## Frequently Asked Questions ### What is Zep AI? Zep AI is a context engineering platform founded in 2023 that enables AI agents to recall what matters through personalized context engineering for AI applications. The company provides end-to-end context engineering solutions integrating Agent Memory, Graph RAG, and Context Assembly capabilities. ### What products and services does Zep AI offer? Zep AI offers an AI context engineering platform with three core components: Agent Memory for enabling AI agents to recall relevant information, Graph-based RAG (Retrieval-Augmented Generation), and Context Assembly capabilities. These services help developers build AI applications with improved memory and contextual understanding. ### Who is Zep AI's target customer? Zep AI targets developers who are building AI applications and need context engineering capabilities. The platform is designed as a developer-focused infrastructure solution for implementing agent memory and contextual retrieval systems. ### When was Zep AI founded? Zep AI was founded in 2023 and participated in Y Combinator's Winter 2024 batch. ### Where is Zep AI located? Zep AI is based in San Francisco, California. ### How much funding has Zep AI raised? Zep AI has raised $3.3M in total funding, including $500K from Y Combinator in April 2024. Investors include Engineering Capital, Step Function, Vercel, and Google founders, though exact amounts from each source vary across reports. ### What are Zep AI's key achievements and metrics? Zep AI reached $1M in revenue by June 2024 with a team of just 5 employees. The company achieved this milestone within approximately one year of founding. ### What technology approach does Zep AI use? Zep AI uses graph-based retrieval and context assembly technology to power its platform. The system integrates Agent Memory, Graph RAG, and Context Assembly to enable AI agents to access and utilize relevant contextual information. ### How can developers get started with Zep AI? Developers can access Zep AI's context engineering platform for their AI applications, though specific onboarding details are not provided in the available information. The platform is positioned as a developer-focused infrastructure solution. ### What recent developments has Zep AI announced? As of June 2024, Zep AI announced reaching $1M in revenue with backing from investors including Engineering Capital, Step Function, Vercel, and Google founders. The company completed Y Combinator's Winter 2024 batch and operates with a lean team of 5 employees. ## Tags ai-powered, b2b, developer-tools, infrastructure, platform, cloud-native, saas --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*