Unverified50% confidenceFactExact time
Large language models have a maximum length limit, measured in tokens, for the historical interaction content they can read within a single conversation.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThis project implements long-term memory by storing key information in the file system to overcome the limitations of large language models' finite context length and the loss of information when a session ends.74% similarUnverifiedCurrent mainstream large language models (such as GPT, Claude, etc.) adopt a session-based interaction mode; the context window has expanded from an initial 4K tokens to 128K or even longer, but it remains essentially a single-conversation memory mechanism, and implicitly accumulated knowledge is lost once a new session begins.74% 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73% similarUnverifiedLongMemEval is an academic benchmark specifically designed to evaluate the long-term memory capabilities of large language models, simulating real-world scenarios spanning hundreds to thousands of conversation turns.73% similarUnverified多轮对话中Token用量会因携带完整历史上下文而随对话轮次呈线性增长72% similar
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