<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous-Systems on MyVar.dev</title><link>https://gibbok.github.io/myvar/tags/autonomous-systems/</link><description>Recent content in Autonomous-Systems on MyVar.dev</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 01 Jul 2026 12:30:15 +0000</lastBuildDate><atom:link href="https://gibbok.github.io/myvar/tags/autonomous-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent Patterns: Architectures for Autonomous Systems</title><link>https://gibbok.github.io/myvar/ai-agents/ai-agent-patterns-architectures-for-autonomous-systems/</link><pubDate>Wed, 01 Jul 2026 12:30:15 +0000</pubDate><guid>https://gibbok.github.io/myvar/ai-agents/ai-agent-patterns-architectures-for-autonomous-systems/</guid><description>&lt;h2 id="ai-agent-patterns-architectures-for-autonomous-systems"&gt;AI Agent Patterns: Architectures for Autonomous Systems&lt;/h2&gt;
&lt;h3 id="overview"&gt;Overview&lt;/h3&gt;
&lt;p&gt;AI agent patterns describe distinct architectural approaches for designing intelligent systems, ranging from simple prompt-response interactions to complex multi-agent collaborations. These patterns define how an agent processes information, interacts with its environment, and achieves objectives. A practical mental model progresses from &lt;strong&gt;Basic&lt;/strong&gt; (prompt → response) to &lt;strong&gt;Useful&lt;/strong&gt; (LLM + tools), &lt;strong&gt;Reliable&lt;/strong&gt; (LLM + tools + structured workflow), &lt;strong&gt;Advanced&lt;/strong&gt; (planning + memory + reflection), and &lt;strong&gt;Complex&lt;/strong&gt; (multi-agent delegation).&lt;/p&gt;</description></item></channel></rss>