Spring Boot AI Agents: How to Add Persistent Conversation Memory Across Sessions

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A Senior Software Engineer at BS23 in Dhaka has published the second part of a series on building production-grade AI agents using Spring Boot and Spring AI. The article addresses a core limitation of large language models — statelessness — where every API call starts without any knowledge of prior exchanges. The author explains that conversation memory is a prompt-engineering challenge, requiring developers to store message history themselves and selectively replay it with each request. Using Spring AI 2.0, the solution involves a ChatMemory interface paired with a sliding-window store of up to 30 messages, keyed by conversation ID to ensure session isolation between users. A MessageChatMemoryAdvisor automatically reads, injects, and updates this history on every call, removing the need for manual history management in application code.

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