2026年9月22日 15:33 ET 发布 · 更新于 2 个月前 · 1 个来源
Giving AI agents more context degrades performance; curated memory beats long context
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原始报道
Loading an AI agent with excessive context—old reports, past conversations, and edge cases—causes it to make unrequested decisions and more mistakes, so agents perform better with a curated map of where rules, memory, and examples live rather than maximal context.
原文