Expired50% confidenceFactExact time
Even if a model supports a context window of 128K or longer, stuffing all historical information into the prompt does not guarantee the model will correctly utilize that information, as attention dilution can cause critical information to be overlooked.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Harness Engineering in Practice: Taming AI Agents with Hermes Agent
bilibili赋范课堂6/18/2026
Related Claims
UnverifiedCurrent LLMs' memory is primarily limited by the context window, making it impossible to truly retain information across multiple independent conversations.73% similarUnverifiedInformation outside the context window cannot be accessed by the model.71% similarUnverifiedEven models with a 128K or larger context window cannot automatically perceive project directory structure, existing database schemas, team coding standards, or historical decisions.71% similarVerifiedThe Memory mechanism addresses the problem of information loss in long-term conversations caused by limited context windows by compressing and summarizing historical conversations to retain key logic and core facts.70% similarUnverified尽管上下文窗口很大，上下文腐化（Context Rot）依然是巨大问题，模型对上下文中不同位置信息的注意力分布不均匀（Lost in the Middle效应）69% similar
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