<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Frameworks on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/agent-frameworks/</link><description>Recent content in Agent Frameworks 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-frameworks/index.xml" rel="self" type="application/rss+xml"/><item><title>Core Components: LLMs, Tools, and Memory Essentials</title><link>https://ai-blog.noorshomelab.dev/ai-agent-frameworks-2026/core-components-llms-tools-memory/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-agent-frameworks-2026/core-components-llms-tools-memory/</guid><description>&lt;p&gt;Welcome back, aspiring AI architect! In the previous chapter, we embarked on an exciting journey into the world of AI agents, understanding their potential to revolutionize how we interact with technology. We learned that agents are more than just chatbots; they are intelligent entities capable of perceiving, planning, acting, and adapting to achieve specific goals.&lt;/p&gt;
&lt;p&gt;But how do these agents actually &lt;em&gt;work&lt;/em&gt;? What are the fundamental building blocks that empower them to perform complex tasks? That&amp;rsquo;s precisely what we&amp;rsquo;ll uncover in this chapter. Think of it as peeking under the hood of a sophisticated machine. We&amp;rsquo;ll explore the three indispensable components that form the bedrock of any modern AI agent:&lt;/p&gt;</description></item><item><title>Agents in Concert: Designing and Orchestrating Multi-Agent Systems</title><link>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/multi-agent-coordination/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/multi-agent-coordination/</guid><description>&lt;h2 id="introduction-the-power-of-many-agents"&gt;Introduction: The Power of Many Agents&lt;/h2&gt;
&lt;p&gt;Welcome back, intrepid AI architect! In previous chapters, we&amp;rsquo;ve explored the fascinating world of individual autonomous AI agents—how they plan, reason, use tools, and manage memory. We&amp;rsquo;ve seen how a single, well-designed agent can tackle complex tasks. But what if the problem is too vast for one agent? What if you need diverse expertise, parallel processing, or a system that&amp;rsquo;s more robust and resilient?&lt;/p&gt;</description></item></channel></rss>