<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Architecture on Derek's Guides</title><link>https://guides.derekleeds.cloud/tags/architecture/</link><description>Recent content in Architecture on Derek's Guides</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 15 Mar 2026 15:52:17 -0500</lastBuildDate><atom:link href="https://guides.derekleeds.cloud/tags/architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Memory Management Best Practices for AI Agents</title><link>https://guides.derekleeds.cloud/docs/memory-management/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://guides.derekleeds.cloud/docs/memory-management/</guid><description>&lt;p&gt;AI agents without memory are like developers without Stack Overflow - they start fresh every session, forget what they learned, and repeat the same mistakes. This guide shows you how to give your agents a working memory system.&lt;/p&gt;
&lt;h2 id="why-memory-matters"&gt;Why Memory Matters&lt;/h2&gt;
&lt;p&gt;When you build an AI agent, you quickly run into a basic problem: &lt;strong&gt;the model has no persistence between sessions&lt;/strong&gt;. Every conversation starts from zero. Every task requires re-explaining context. Every mistake gets repeated.&lt;/p&gt;</description></item></channel></rss>