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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>标签：前沿技术 - Warren's Blog</title><link>/tags/qian-yan-ji-shu</link><atom:link href="/tags/qian-yan-ji-shu/feed/tags/qian-yan-ji-shu.xml" rel="self" type="application/rss+xml"/><description>IF THERE’S ANY TRUE LOGIC TO THE UNIVERSE… WE’LL END UP ON THAT GAYHUB AGAIN SOMEDAY.</description><generator>Halo v2.22.4</generator><language>zh-cn</language><image><url>https://oss-shenzhen-40g.oss-cn-shenzhen.aliyuncs.com/blog-attach/favicon_1619538565825.ico</url><title>标签：前沿技术 - Warren's Blog</title><link>/tags/qian-yan-ji-shu</link></image><lastBuildDate>Sun, 3 May 2026 18:01:51 GMT</lastBuildDate><item><title><![CDATA[Agent 工程：Ralph in DeepAgent & Claude Code]]></title><link>/archives/agent-gong-cheng-ralph-in-deepagent-claude-code</link><description><![CDATA[<img src="http://localhost:8090/plugins/feed/assets/telemetry.gif?title=Agent%20%E5%B7%A5%E7%A8%8B%EF%BC%9ARalph%20in%20DeepAgent%20%26%20Claude%20Code&amp;url=/archives/agent-gong-cheng-ralph-in-deepagent-claude-code" width="1" height="1" alt="" style="opacity:0;">背景 本来有很多 Deep Research 的内容和网络资料，想来想去，还是删除了，写点人话。 此文是公司做的一次技术分享，文章 Artifact 有删减。 本文聊聊 2026 年前沿 Agent 技术：Long Horizon / Running 、Ralph Loop 在 LangChain]]></description><guid isPermaLink="false">/archives/agent-gong-cheng-ralph-in-deepagent-claude-code</guid><dc:creator>Warren Zhan</dc:creator><category>工作沉思录</category><category>默认分类</category><pubDate>Wed, 4 Mar 2026 14:41:00 GMT</pubDate></item><item><title><![CDATA[Agent 工程：Langchain & Long Horizon Agent]]></title><link>/archives/agent-gong-cheng-langchain-long-horizon-agent</link><description><![CDATA[<img src="http://localhost:8090/plugins/feed/assets/telemetry.gif?title=Agent%20%E5%B7%A5%E7%A8%8B%EF%BC%9ALangchain%20%26%20Long%20Horizon%20Agent&amp;url=/archives/agent-gong-cheng-langchain-long-horizon-agent" width="1" height="1" alt="" style="opacity:0;">本文是对 Langchain 前不久分享的 Long Horizon Agent 的详细解读。 长周期任务（Long-horizon Task）。 简单说，就是让 Agent 干点大事儿，不是那种问个问题就完事儿的客服，而是能独立思考、规划、执行一整套复杂流程的“数字员工”。比如让它独立完成一个软件]]></description><guid isPermaLink="false">/archives/agent-gong-cheng-langchain-long-horizon-agent</guid><dc:creator>Warren Zhan</dc:creator><category>工作沉思录</category><category>默认分类</category><pubDate>Thu, 5 Feb 2026 15:43:00 GMT</pubDate></item><item><title><![CDATA[Agent 工程: 初探 OpenClaw 的 pi-mono 设计]]></title><link>/archives/agent-gong-cheng-chu-tan-openclaw-de-pi-mono-she-ji</link><description><![CDATA[<img src="http://localhost:8090/plugins/feed/assets/telemetry.gif?title=Agent%20%E5%B7%A5%E7%A8%8B%3A%20%E5%88%9D%E6%8E%A2%20OpenClaw%20%E7%9A%84%20pi-mono%20%E8%AE%BE%E8%AE%A1&amp;url=/archives/agent-gong-cheng-chu-tan-openclaw-de-pi-mono-she-ji" width="1" height="1" alt="" style="opacity:0;">https://github.com/badlogic/pi-mono Pi 给我们描绘了一幅与今天主流 AI Agent 截然不同的蓝图。它不追求成为一个无所不知的“万事通”，而是立志成为一个潜力无限、与你共同成长的“学徒”。 这何尝不是 Ilya 想象中的 AGI 之一呢？ 今天聊聊背后那个更低]]></description><guid isPermaLink="false">/archives/agent-gong-cheng-chu-tan-openclaw-de-pi-mono-she-ji</guid><dc:creator>Warren Zhan</dc:creator><category>工作沉思录</category><pubDate>Mon, 2 Feb 2026 15:09:00 GMT</pubDate></item><item><title><![CDATA[Agent 工程：长时运行设计之 Ralph Agent]]></title><link>/archives/agent-gong-cheng-chang-shi-yun-xing-she-ji-zhi-ralph-agent</link><description><![CDATA[<img src="http://localhost:8090/plugins/feed/assets/telemetry.gif?title=Agent%20%E5%B7%A5%E7%A8%8B%EF%BC%9A%E9%95%BF%E6%97%B6%E8%BF%90%E8%A1%8C%E8%AE%BE%E8%AE%A1%E4%B9%8B%20Ralph%20Agent&amp;url=/archives/agent-gong-cheng-chang-shi-yun-xing-she-ji-zhi-ralph-agent" width="1" height="1" alt="" style="opacity:0;">最近 AI 圈子有点疯，一个叫 Ralph Wiggum 的东西突然就火了，火到什么程度呢？有人说它是 “最接近 AGI 的玩意儿”，有人用它通宵干活，第二天早上醒来发现几个代码仓库都妥妥地建好了。甚至还有人专门为它发了个加密货币 $RALPH。 这名字听着是不是有点耳熟？没错，就是《辛普森一家》里]]></description><guid isPermaLink="false">/archives/agent-gong-cheng-chang-shi-yun-xing-she-ji-zhi-ralph-agent</guid><dc:creator>Warren Zhan</dc:creator><category>工作沉思录</category><pubDate>Wed, 21 Jan 2026 14:37:00 GMT</pubDate></item><item><title><![CDATA[RAG 工程： GraphRAG 中的 DeepResearch ? 解读 GRAPHSEARCH 设计]]></title><link>/archives/rag-gong-cheng-graphrag-zhong-de-deepresearch-jie-du-graphsearch-she-ji</link><description><![CDATA[<img src="http://localhost:8090/plugins/feed/assets/telemetry.gif?title=RAG%20%E5%B7%A5%E7%A8%8B%EF%BC%9A%20GraphRAG%20%E4%B8%AD%E7%9A%84%20DeepResearch%20%3F%20%E8%A7%A3%E8%AF%BB%20GRAPHSEARCH%20%E8%AE%BE%E8%AE%A1&amp;url=/archives/rag-gong-cheng-graphrag-zhong-de-deepresearch-jie-du-graphsearch-she-ji" width="1" height="1" alt="" style="opacity:0;">这篇工作是一个工程化的设计思路，基本上和算法没关系。可以理解为是 GraphRAG 检索环节的一种 Agentic 检索设计。感觉类似 GraphRAG 中的 “Deep Research” 是否有参考价值，如果我们能确定现有检索场景下的 BADCASE 的具体原因，可以引入此工程思路，看是否能解决]]></description><guid isPermaLink="false">/archives/rag-gong-cheng-graphrag-zhong-de-deepresearch-jie-du-graphsearch-she-ji</guid><dc:creator>Warren Zhan</dc:creator><category>工作沉思录</category><pubDate>Thu, 15 Jan 2026 11:12:00 GMT</pubDate></item></channel></rss>