<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Ai-Memory on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/ai-memory/</link><description>Recent content in Ai-Memory on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Thu, 28 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/ai-memory/index.xml" rel="self" type="application/rss+xml"/><item><title>Hivemind 深度教學 — Cross-Agent 共享記憶與 Skill 自動沉澱引擎</title><link>https://tpow-001.netlify.app/post/2026-05-28-hivemind-tutorial/</link><pubDate>Thu, 28 May 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-05-28-hivemind-tutorial/</guid><description><![CDATA[<h1 id="hivemind-深度教學" data-numberify>Hivemind 深度教學<a class="anchor ms-1" href="#hivemind-深度教學"></a></h1>
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<p>把 6 種 coding agent（Claude Code / Codex / OpenClaw / Cursor / Hermes / pi）的 session trace 統一捕捉到 Deeplake，背景 worker 自動挖 pattern → 寫 <code>SKILL.md</code> → 跨 agent 注入。在 LoCoMo benchmark 上省 <strong>25% cost / 1.7× token / 31% turn</strong>。</p>]]></description></item></channel></rss>