<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memory on EnRedAndo Me - Carlos Prados</title><link>https://carlos.enredando.me/tags/memory/</link><description>Recent content in Memory on EnRedAndo Me - Carlos Prados</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>mail@carlosprados.com (Carlos Prados)</managingEditor><webMaster>mail@carlosprados.com (Carlos Prados)</webMaster><copyright>© 2026 Carlos Prados</copyright><lastBuildDate>Tue, 30 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://carlos.enredando.me/tags/memory/index.xml" rel="self" type="application/rss+xml"/><item><title>Mastering Agentic AI: The Memory Management Pattern</title><link>https://carlos.enredando.me/posts/agentic-ai-memory/</link><pubDate>Tue, 30 Jun 2026 00:00:00 +0000</pubDate><author>mail@carlosprados.com (Carlos Prados)</author><guid>https://carlos.enredando.me/posts/agentic-ai-memory/</guid><description>&lt;p&gt;In the &lt;a href="https://carlos.enredando.me/posts/agentic-ai-multi-agent/" &gt;previous post&lt;/a&gt;, Multi-Agent Collaboration closed out the foundational patterns — the building blocks of any non-trivial agentic system. Today we move into Part 2 of the book: Advanced Capabilities. And the first capability without which everything else falls apart is &lt;strong&gt;memory&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Here&amp;rsquo;s the uncomfortable truth at the heart of every LLM-based system: the model itself is stateless. Each API call is a clean slate. The illusion of conversation is just you (or your framework) feeding the prior turns back into the prompt every time. Take that scaffolding away and your &amp;ldquo;agent&amp;rdquo; greets the user as a stranger every single message.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://carlos.enredando.me/posts/agentic-ai-memory/featured.jpg"/></item></channel></rss>