Unverified50% confidenceSolutionExact time
由于LLM本质是无状态推理引擎且每次唤醒上下文窗口全新，没有持久化执行历史的模型极易将已证明无效的方案重新发明，Append-Only日志为Agent构建外部长期记忆以弥补上下文窗口有限的缺陷
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
Unverified仅靠扩大上下文窗口无法解决Agent的长期记忆问题69% similarUnverifiedReAct的局限在于以模型本身为中心，缺乏对工具调用失败、模型幻觉、并发任务等工程级问题的系统性处理68% similarUnverifiedThe AI's forgetfulness phenomenon stems from context window limitations, where early instructions that exceed the window are forgotten.66% similarUnverifiedRelying solely on prompts to constrain AI behavior has a fundamental reliability problem, because the LLM attention mechanism and context window limitations cause early instructions to be ignored.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/520757API
curl https://kongchang.com/api/v1/knowledge/claims/520757MCP
get_claim(id=520757)