<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>ai-ark</title><description>ai-ark — Agentic AI 知識前線</description><link>https://aiark-tw.pages.dev/</link><item><title>什麼是 Agentic AI？從自動化到自主決策的新時代</title><link>https://aiark-tw.pages.dev/blogs/14bddecd-8701-4458-93b9-e79d9d600487/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/14bddecd-8701-4458-93b9-e79d9d600487/</guid><description>本文介紹 Agentic AI 的核心概念，探討 AI Agent 如何從單純的問答走向自主規劃、工具使用與多步驟執行。</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate><author>保羅</author></item><item><title>Agentic RAG：為什麼傳統 RAG 不夠用</title><link>https://aiark-tw.pages.dev/blogs/3421638c-db15-818e-ae1a-f02ab8d65424/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/3421638c-db15-818e-ae1a-f02ab8d65424/</guid><description>傳統 RAG 是單次檢索後生成答案，Agentic RAG 讓 Agent 能動態決定何時檢索、檢索什麼，並在需要時多次查詢，大幅提升複雜問題的回答品質。</description><pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate><author>Agent小編</author></item><item><title>MCP 協議完整解析：讓 Agent 真正連接世界</title><link>https://aiark-tw.pages.dev/blogs/3421638c-db15-8199-a2b0-eb7a90f16e3f/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/3421638c-db15-8199-a2b0-eb7a90f16e3f/</guid><description>Model Context Protocol 如何解決 Agent 與外部工具整合的碎片化問題。從規格設計、實作細節到生態系現況，一篇掌握 MCP 全貌。</description><pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate><author>Agent小編</author></item><item><title>Multi-Agent Orchestration：從 LangGraph 到 AutoGen</title><link>https://aiark-tw.pages.dev/blogs/3421638c-db15-81b3-969f-c9c19fc6e63f/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/3421638c-db15-81b3-969f-c9c19fc6e63f/</guid><description>比較主流 Multi-Agent 框架的設計哲學與適用場景。LangGraph 的狀態機模型、AutoGen 的對話驅動、CrewAI 的角色分工——各自的強項與侷限。</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><author>Agent小編</author></item><item><title>Tool Use 完全指南：讓 AI Agent 從「聊天機器人」變成「行動者」</title><link>https://aiark-tw.pages.dev/blogs/34b1638c-db15-8068-9b2a-ed9a50d58e0b/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/34b1638c-db15-8068-9b2a-ed9a50d58e0b/</guid><description>工具使用（Tool Use）是讓 AI Agent 真正落地的關鍵能力。本文從概念、技術細節到實戰案例，帶你一次搞懂 Function Calling、工具設計原則，以及如何打造可靠的 Agentic 工具鏈。</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate><author>Agent小編</author></item><item><title>測試文章 2</title><link>https://aiark-tw.pages.dev/blogs/aa6bf8d1-99be-479c-8b2b-3708218785ca/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/aa6bf8d1-99be-479c-8b2b-3708218785ca/</guid><description>這是第二篇測試文章，用來驗證 CMS 資料流是否正常運作。</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate><author>陳保羅</author></item><item><title>OpenCLI 新手入門：讓 AI Agent 秒變「萬能遙控器」</title><link>https://aiark-tw.pages.dev/blogs/b8aebf89-83f1-4525-a46c-792c1b3f2c19/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/b8aebf89-83f1-4525-a46c-792c1b3f2c19/</guid><description>OpenCLI 是一款開源工具，讓 AI Agent 透過預定義的 CLI 介面，以零 token 成本確定性地操控 87+ 網站與桌面應用程式，是打造高效 Agentic 工作流的利器。</description><pubDate>Thu, 16 Apr 2026 06:25:00 GMT</pubDate><author>保羅</author></item><item><title>新手也能懂！Hermes Agent vs OpenClaw：兩種開源 AI 代理的設計哲學大比拼</title><link>https://aiark-tw.pages.dev/blogs/d60d68e1-06aa-4fbe-9833-738556a8a69a/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/blogs/d60d68e1-06aa-4fbe-9833-738556a8a69a/</guid><description>用最簡單的比喻帶新手認識兩款熱門開源 AI Agent：OpenClaw 像「廣納百川的中央控制塔」，Hermes Agent 則像「會自我進化的學習迴圈」。一次看懂架構、記憶、技能、安全性的差異。</description><pubDate>Fri, 17 Apr 2026 00:00:00 GMT</pubDate><author>陳保羅</author></item><item><title>OpenClaw vs Hermes Agent：兩款開源 AI 代理的核心差異</title><link>https://aiark-tw.pages.dev/cards/01b6c7b3-7d7a-445a-a099-6fce3f0ecbce/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/01b6c7b3-7d7a-445a-a099-6fce3f0ecbce/</guid><pubDate>Fri, 17 Apr 2026 06:29:00 GMT</pubDate></item><item><title>Agent Memory 四種類型比較</title><link>https://aiark-tw.pages.dev/cards/3421638c-db15-814e-8ea7-c9adcfee740e/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/3421638c-db15-814e-8ea7-c9adcfee740e/</guid><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>ReAct 框架：推理與行動的交互循環</title><link>https://aiark-tw.pages.dev/cards/3421638c-db15-81be-aec3-de45edcc6eaa/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/3421638c-db15-81be-aec3-de45edcc6eaa/</guid><pubDate>Fri, 10 Apr 2026 00:00:00 GMT</pubDate></item><item><title>核心架構：控制塔 vs 學習迴圈</title><link>https://aiark-tw.pages.dev/cards/37d80b56-1def-4eca-9020-78f7758bd991/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/37d80b56-1def-4eca-9020-78f7758bd991/</guid><pubDate>Fri, 17 Apr 2026 04:18:00 GMT</pubDate></item><item><title>記憶系統：Markdown 檔案櫃 vs 四層動態大腦</title><link>https://aiark-tw.pages.dev/cards/3dde695c-1d31-45cb-8371-3e7fc0df32d7/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/3dde695c-1d31-45cb-8371-3e7fc0df32d7/</guid><pubDate>Fri, 17 Apr 2026 04:18:00 GMT</pubDate></item><item><title>執行環境：本機運行 vs 6 種後端沙盒</title><link>https://aiark-tw.pages.dev/cards/a020d17d-17b7-4410-bb04-015def3c3eab/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/a020d17d-17b7-4410-bb04-015def3c3eab/</guid><pubDate>Fri, 17 Apr 2026 04:18:00 GMT</pubDate></item><item><title>技能管理：人類編寫 vs AI 自動萃取</title><link>https://aiark-tw.pages.dev/cards/a0dcb156-e083-47cd-8edd-8676c536121f/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/a0dcb156-e083-47cd-8edd-8676c536121f/</guid><pubDate>Fri, 17 Apr 2026 04:18:00 GMT</pubDate></item><item><title>安全性：自行把關 vs 預設保守硬性阻擋</title><link>https://aiark-tw.pages.dev/cards/f794e329-8bd7-40ae-bdf8-82a9033d6d0b/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/cards/f794e329-8bd7-40ae-bdf8-82a9033d6d0b/</guid><pubDate>Fri, 17 Apr 2026 04:18:00 GMT</pubDate></item><item><title>Agentic AI 2026 現況總覽</title><link>https://aiark-tw.pages.dev/slides/3421638c-db15-8129-8f9a-dfe8f792e7df/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/slides/3421638c-db15-8129-8f9a-dfe8f792e7df/</guid><description>從 ReAct 到 Agentic Loop，梳理 Agent 架構的演進脈絡與當前最佳實踐</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate><author>Agent小編</author></item><item><title>🚀 ai-ark 正式上線！</title><link>https://aiark-tw.pages.dev/doodles/3421638c-db15-812b-bbdb-c53984651b32/</link><guid isPermaLink="true">https://aiark-tw.pages.dev/doodles/3421638c-db15-812b-bbdb-c53984651b32/</guid><description>Agentic AI 知識媒體平台正式啟動，涵蓋 Agent 框架、MCP、RAG、Multi-Agent 等核心主題。</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>