<?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 Agent on MK's Lab</title><link>https://blog.mklee.org/categories/ai-agent/</link><description>Recent content in AI Agent on MK's Lab</description><generator>Hugo -- 0.146.0</generator><language>zh-tw</language><lastBuildDate>Wed, 22 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mklee.org/categories/ai-agent/index.xml" rel="self" type="application/rss+xml"/><item><title>一個下午補完 17 張 blog 封面：Codex gpt-image-2 + 一個 sandbox 陷阱的救援</title><link>https://blog.mklee.org/posts/2026-04-22-codex-gpt-image-2-batch-covers/</link><pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate><guid>https://blog.mklee.org/posts/2026-04-22-codex-gpt-image-2-batch-covers/</guid><description>Codex 0.122.0 把 gpt-image-2 預設打開。我想順勢一次補完 17 篇文章的封面，過程中踩到一個 workspace-write sandbox 的誤會，14 張圖看起來全失敗，其實全都在 cache 裡等我撿回來。</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></channel></rss>