针对这些记忆缺陷，智能体工程通常采取以下手段进行增强：构建外部记忆库将用户偏好、业务知识、历史交互等存储在数据库中，智能体在需要时通过检索机制按需提取相关信息，应对长期记忆缺陷；对过长的上下文进行摘要和压缩，保留核心信息，释放Token空间，来应对信息过载导致的短期记忆遗忘。
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.，详情可参考im钱包官方下载
// strict: Catches fire-and-forget writes that ignore backpressure。搜狗输入法2026对此有专业解读
聚焦全球优秀创业者，项目融资率接近97%，领跑行业