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Agent 的非常简史(4 代演进)

Agent 的非常简史(4 代演进)

5/27/2026NickNick

从只会“说话”的 LLM+RAG,到能自我扩展、持续在线的 OpenClaw,概览智能体四代的能力差异与演进方向。

惊人对比:智能体如何从只会“说话”进化到能自我扩展?🤯 第1代 · LLM + RAG 🧭 通过检索+静态提示回答,单次任务、无记忆、不能调用工具。例:glean、perplexity。 第2代 · Tool Use Agent 🛠️ 能调用预配置工具(搜索、跑代码、API),会规划步骤完成一次性任务,但仍无长期记忆。 第3代 · Cloud Agent ☁️ 支持异步与长任务,有记忆与文件系统,适合持续运行的项目与代码维护,仍依赖预定义工具。 第4代 · OpenClaw 类系统 🐾 持续在线、可扩展、通过多通道交互,使用有状态服务并能自主安装新工具,迈向系统级 Agent。 一句话总结:从“问答机器人”→“会用工具的助手”→“云端长期工作者”→“可自我扩展的持续型系统”。 🚀 在评论写下最感兴趣的一代,并把这篇分享给可能需要了解的同事或朋友!👇🔁

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#そこにAIはあるの会
【 パインリクエストII 】

名作ゲームの日⚔️を記念して
あの伝説のイベントが復活♡
パインリクエストII✨️

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ドキドキ♡

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RT @ma_go_no_te_: こ〜んばんは〜。🌙

今日もおっ疲れ様でしたぁ。
意外と雨降らなかったなぁ。☂️
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