<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Architecture on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/agent-architecture/</link><description>Recent content in Agent Architecture on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/agent-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Dissecting AI Agents: Core Components and Capabilities</title><link>https://ai-blog.noorshomelab.dev/ai-engineering-2026/dissecting-ai-agents-components-capabilities/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-engineering-2026/dissecting-ai-agents-components-capabilities/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI architect! In our previous chapter, we got a bird&amp;rsquo;s-eye view of the exciting new paradigms shaping AI engineering. Now, it&amp;rsquo;s time to zoom in and get intimately familiar with the star of the show: the AI Agent itself. Think of it like a journey from understanding what a car &lt;em&gt;is&lt;/em&gt; to opening the hood and examining its engine, transmission, and steering system.&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;ll dissect AI agents into their core components and capabilities. We&amp;rsquo;ll explore how these intelligent entities perceive their environment, remember past interactions, plan their next moves, interact with the world through tools, and communicate with others. By the end, you&amp;rsquo;ll have a clear mental model of what makes an AI agent tick, preparing you to design and build your own sophisticated agentic systems.&lt;/p&gt;</description></item></channel></rss>