🚨重磅！梁文峰给Agent系统指明方向！DeepSeek 官方给出最新思路：让 AI 从“听话的工具”变成“自己干活的同事”！
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
🚨重磅！梁文峰给Agent系统指明方向！DeepSeek 官方给出最新思路：让 AI 从“听话的工具”变成“自己干活的同事”！ 以前的 AI Agent 像一个很能干的实习生：你得开一个聊天窗口盯着它，一步步指挥。你同时只能盯住 3～5 个窗口，再多就乱了、忘了上下文。它一等你指令，就停在那儿不动。 DeepSeek Harness 团队提出 Super-agent，想解决这个问题。目标很简单：人只负责定目标、做验收，AI 自己持续干活。 它有四个特点： 🔹连续：不管你在微信群、GitHub 还是邮件里找它，它都记得之前的事，感觉始终是同一个 AI 在跟你说话，不用自己记“哪个窗口说了什么”。 🔹高效：同时推进好几件事，互不耽误，你随时可以插话或改方向。 🔹主动：不用等你 @ 它。群里有人反馈问题、代码评审有评论、邮件来了，它自己观察并决定要不要动手，不需要时就安静待着。 🔹持久：一直在线，电脑关机也不停，出错了能自己恢复。 怎么实现的？核心思路很朴素： 1️⃣一个协调者 + 多个干活的：上面有个“调度员”AI（Router）负责听你说话、分配任务、记住全局；下面多个“工人”AI（Worker）各自独立干活，干完把结果汇报给调度员，再由它统一回复你。你感觉只有一个 AI，背后其实在并行跑多个。 2️⃣事件驱动，而不是等人下命令：群消息、代码评论、CI 结果等，都变成
Posted by SuSu_酥酥👅 (25.2k followers) 1 h ago · 32 likes · 3.1k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: dsh-superagent-prototype.
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