<?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 Bruce on AI Engineering</title><link>http://www.heyuan110.com/tags/agent-architecture/</link><description>Recent content in Agent Architecture on Bruce on AI Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 04 Mar 2026 19:00:00 +0800</lastBuildDate><atom:link href="http://www.heyuan110.com/tags/agent-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenClaw Multi-Agent Setup: Build AI Teams That Work</title><link>http://www.heyuan110.com/posts/ai/2026-03-05-openclaw-multi-agent-setup/</link><pubDate>Wed, 04 Mar 2026 19:00:00 +0800</pubDate><guid>http://www.heyuan110.com/posts/ai/2026-03-05-openclaw-multi-agent-setup/</guid><description>&lt;p&gt;&lt;img src="http://www.heyuan110.com/posts/ai/2026-03-05-openclaw-multi-agent-setup/cover.webp"
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&lt;p&gt;You built an OpenClaw personal assistant. It handles your Telegram messages, searches the web, writes drafts, reviews code. Life is good.&lt;/p&gt;
&lt;p&gt;Then reality hits. You ask it to research a competitor, and it responds with coding suggestions from yesterday&amp;rsquo;s conversation. You ask it to write an article, and it pulls in debugging context from a completely unrelated project. Your single agent is drowning in accumulated memory, and every response gets slower and more confused.&lt;/p&gt;</description></item></channel></rss>