智谱AI讨论记忆功能在通用AI代理中的实用性

memory has been a hot topic for the past ~2 years every time we bring it up or do anything there, gets ton of interest, but nothing sticks few takes on why below: - how to update and then use memory needs to be pretty tightly integrated with the harness. so its hard to build a standalone memory product - the hardest part of memory is the logic of deciding what to remember. storing and even querying memory is not necessarily hard. the logic of deciding what to remember is often (a) application specific, (b) just prompting, which makes it hard to productize - memory is not that useful in a general purpose agent, but more for when you are doing repeated tasks. more high usage ai agent are not just doing the same task repeatedly - memory hasnt really proven to be useful for coding agents, and most agent things that take off happen first in coding agents David Cramer @zeeg I continue to believe memory is the most interesting and under invested space right now 🔗 View Quoted Tweet

本条情报归属 AITOP「模型」核心栏目，重点聚焦中国 AI 产业与国产大模型生态。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」「中美大模型技术代差与商业化对照」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：智谱AI、记忆功能、通用AI代理、编程助手，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

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