Unverified50% confidenceFactExact time
Different frameworks vary enormously in how they store and pass conversation state, memory, and context, making direct reuse nearly impossible.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMainstream models do not have persistent memory across sessions by default; every new conversation starts with a complete memory reset74% similarUnverifiedMigrating context essentially involves sending historical conversations as new prompts to another model, rather than true memory synchronization, and cannot fully replicate the coherence of a native conversation.73% similarVerified大语言模型在长时间对话中会因上下文窗口限制而丢失早期信息71% similarUnverified传统对话历史模式的局限性包括：无法原生表达工具调用的中间状态、缺乏时序元数据、不支持并发事件流、在上下文窗口有限时难以进行选择性压缩和摘要71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/966049API
curl https://kongchang.com/api/v1/knowledge/claims/966049MCP
get_claim(id=966049)