<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Context on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/context/</link><description>Recent content in Context on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 30 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/context/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 7: Managing AI Context &amp;amp; Memory in React</title><link>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/07-ai-context-memory-management/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/07-ai-context-memory-management/</guid><description>&lt;h2 id="introduction-giving-your-ai-a-memory"&gt;Introduction: Giving Your AI a &amp;ldquo;Memory&amp;rdquo;&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 7! So far, you&amp;rsquo;ve learned how to integrate AI models and agents into your React applications, consume streaming responses, and even trigger tool calls. But have you ever noticed that sometimes, AI seems to &amp;ldquo;forget&amp;rdquo; what you just said? It&amp;rsquo;s like having a conversation where the other person only remembers your very last sentence. Frustrating, right?&lt;/p&gt;
&lt;p&gt;This chapter is all about solving that problem! We&amp;rsquo;ll explore how to give your AI-powered interfaces a true sense of &amp;ldquo;memory&amp;rdquo; and &amp;ldquo;context.&amp;rdquo; Most large language models (LLMs) are inherently stateless; each API request is treated as a brand new interaction. It&amp;rsquo;s up to &lt;em&gt;your frontend application&lt;/em&gt; to manage the conversation history and other relevant information, sending it along with each new prompt to ensure the AI understands the ongoing dialogue.&lt;/p&gt;</description></item></channel></rss>