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
UnverifiedLarge models are essentially stateless systems that do not remember previous conversations and require an external memory system to achieve coherence in multi-turn dialogues.84% similarUnverifiedMemory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% 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% similarUnverifiedThe inference mechanism of the Transformer architecture determines that the model itself has no persistent memory capability, and all 'memory' relies entirely on the context provided in the current session.75% similarUnverifiedTransformer模型的注意力机制使模型能够在长达数千Token的上下文窗口内追踪对话语义，而早期LSTM模型受限于固定窗口的短期记忆73% similar
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