<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stateless Architecture on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/stateless-architecture/</link><description>Recent content in Stateless Architecture on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/stateless-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Basic, Stateless ADK Agent</title><link>https://ai-blog.noorshomelab.dev/adk-persistent-agents-2026/building-stateless-adk-agent/</link><pubDate>Sat, 23 May 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/adk-persistent-agents-2026/building-stateless-adk-agent/</guid><description>&lt;p&gt;In this chapter, we&amp;rsquo;re laying the foundational brick for our robust AI agent system. We&amp;rsquo;ll build a simple, &lt;em&gt;stateless&lt;/em&gt; AI agent using Google&amp;rsquo;s Agent Development Kit (ADK). This initial setup will demonstrate the core interaction loop: receiving user input, processing it with an ADK agent, and generating a response using a large language model (LLM).&lt;/p&gt;
&lt;p&gt;This milestone is critical because it establishes the basic communication patterns and environment for our agent, allowing us to confirm the ADK setup and LLM integration are functional. While this agent won&amp;rsquo;t remember past conversations yet, it provides a functional starting point that we can incrementally enhance with statefulness and persistence in subsequent chapters. By the end of this chapter, you&amp;rsquo;ll have a running ADK agent that can respond to simple prompts in your local development environment.&lt;/p&gt;</description></item></channel></rss>