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Agentic Context Management：上下文管理的五个原语
论文提出Agentic Context Management框架，将上下文管理分解为五个原语：架构、注入、范围、预测和压缩。传统的累积式上下文管理使token成本随对话长度平方增长，而粗粒度的摘要化虽使成本线性但精度下降。该框架通过基于保真度验证的压缩，在LongMemEval上达到92%，在LoCoMo上达到93.2%。该研究为生产环境中智能体的上下文管理提供了结构化方法。
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这篇新论文把智能体常栽跟头的上下文问题拆成五个可操作的原语，还给出了验证方案，在LongMemEval和LoCoMo上分别跑了92%和93.2%。
2 sources67° AI heatLast updated 2026/7/24 22:03:02
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2 sourcesRelated source 1arXiv cs.AI
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