<?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>Memory on MK's Lab</title><link>https://blog.mklee.org/tags/memory/</link><description>Recent content in Memory on MK's Lab</description><generator>Hugo -- 0.146.0</generator><language>zh-tw</language><lastBuildDate>Fri, 10 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mklee.org/tags/memory/index.xml" rel="self" type="application/rss+xml"/><item><title>Hybrid memory search：把 journal 搜尋當成 ranking 問題</title><link>https://blog.mklee.org/posts/2026-04-10-hybrid-memory-search/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/2026-04-10-hybrid-memory-search/</guid><description>幫 LLM agent 的日誌搜尋設計三個分數軸——keyword overlap、temporal recency、hall-type boost，以及過程中修掉的一個 case-sensitivity bug。</description></item><item><title>AI Agent 記憶的 Context Tree：從日誌地獄到兩層架構</title><link>https://blog.mklee.org/posts/context-tree-agent-memory/</link><pubDate>Sat, 28 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/context-tree-agent-memory/</guid><description>當 AI agent 的記憶系統塞滿了 37 個檔案，65% 是噪音，你需要的不是更大的 context window，而是更好的架構。這是把扁平日誌改造成 journal + knowledge 兩層記憶的實戰記錄。</description></item><item><title>AI Agent 記憶品質：用數據決定什麼該記、什麼該忘</title><link>https://blog.mklee.org/posts/memory-quality-score/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/memory-quality-score/</guid><description>記憶清理不能只看日期。用搜尋命中追蹤建立 Memory Quality Score，讓過期歸檔有數據依據，活躍記憶自動保護。</description></item><item><title>AI Agent 記憶系統的三個難題：壓縮、演化、衝突</title><link>https://blog.mklee.org/posts/ai-agent-memory-three-challenges/</link><pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/ai-agent-memory-three-challenges/</guid><description>context window 有限、偏好會變、新舊記憶會矛盾——分享我們在 OpenClaw 上實作記憶系統時遇到的三個核心難題與解法。</description></item><item><title>讓 AI Agent 學會做夢：記憶的睡眠循環機制</title><link>https://blog.mklee.org/posts/ai-agent-memory-sleep-cycle/</link><pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/ai-agent-memory-sleep-cycle/</guid><description>AI agent 的記憶不該只有寫入和讀取。借鏡人類睡眠的三個階段——做夢、反芻、遺忘——為 agent 建立一套自動化的記憶維護機制。</description></item><item><title>OpenClaw 記憶管理：從零到自迭代的架構演化</title><link>https://blog.mklee.org/posts/openclaw-memory-architecture/</link><pubDate>Wed, 18 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/openclaw-memory-architecture/</guid><description>一個 AI agent 的記憶系統如何從空白 MEMORY.md 演化成帶有 Events Timeline、L0 索引、自動提取規則的結構化架構。</description></item></channel></rss>