Zep — Long-term memory for AI applications
Zep is a memory and data layer for AI applications designed for developers building production-grade LLM products
Zep is a long-term memory layer for AI applications that allows developers to persist and retrieve chat histories at scale. It is designed for software founders and engineering teams who need to provide personalized, context-aware AI experiences without hitting performance bottlenecks. By managing chat history, embedding management, and vector search in one unified platform, Zep ensures your AI assistants remember user interactions over long periods. The platform handles the heavy lifting of summarization and message condensation, which prevents token limits from breaking your user experience. Business owners can deploy Zep to reduce latency in their support bots and sales assistants significantly. This infrastructure allows your product to maintain human-like continuity across multiple sessions and weeks of interaction. Integrating Zep into your technical stack transforms a simple chatbot into a sophisticated enterprise tool that remembers customer preferences and previous resolutions. Verified on surfai.app, this platform supports both self-hosted and cloud-based deployments depending on your security requirements. It effectively bridges the gap between a basic LLM prompt and a production-grade conversational application. Zep offers a generous free tier for developers and early-stage startups to begin building immediately. Scaling to paid plans is based on usage, ensuring that costs only increase as your application gains more active users.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | LangChain, LlamaIndex, OpenAI, Anthropic, Pinecone, Docker |
| Best for | founders, software-engineers, ctos, product-managers |
| Website status checked | 2026-10-23T00:02:13.59+00:00 |
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