Verified70% confidenceFactExact time
Large models do not have memory capability by default; a ChatMemory mechanism must be introduced to remember the content of past conversation turns.
4
Sources
70%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Spring AI完整教程：ChatModel、RAG与MCP实战指南
Related Claims
UnverifiedMemory机制在大语言模型工程中对应系统提示词工程与外部记忆存储的结合，用于模拟无状态模型的持久化状态78% similarUnverifiedLetting the model judge which information is worth memorizing saves more storage and context costs than mechanically saving all conversations, and improves the signal-to-noise ratio of memory.76% similarUnverifiedMulti-turn dialogue is implemented by re-inputting all previous conversation history to the model with each request, rather than the model having genuine memory capability.75% similarUnverifiedCurrent large models almost all rely on external storage outside the model to maintain dialogue context, with dialogue history appended to prompts or vector databases.74% similarUnverifiedEven if a model can retrieve relevant memory context, it does not necessarily truly constrain its own behavior during generation based on that context (writing to memory does not equal following memory)73% similar
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