Build A Customer Support Agent With Next.Js And Mem0

A tutorial explains how to build a persistent customer-support chatbot with Next.js 14, TypeScript, OpenAI, and Mem0, addressing the limitations of stateless agents that lose context when users end a session. Rather than repeatedly sending entire chat histories to an LLM, the approach uses Mem0 to extract and store useful semantic facts, such as order numbers, issue details, contact preferences, and escalation status, under a unique user ID. For each new message, the application retrieves relevant memories before generating an OpenAI response, injects them into the system prompt, and then stores the completed interaction for future use. The guide covers project setup, API-key configuration, request validation, a chat interface that passes a stable user ID, and a demonstration in which a user can ask for an update after starting a new session without restating an earlier order problem. It also discusses production concerns including authenticated user IDs, graceful failure handling, latency, pricing, data residency, and compatibility with alternative LLM providers and tools such as the Vercel AI SDK.

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