<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Multi-Agent Systems on Forrest Chai</title><link>http://forrestchai.com/tags/multi-agent-systems/</link><description>Recent content in Multi-Agent Systems on Forrest Chai</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 11 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://forrestchai.com/tags/multi-agent-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>The Agent Coordination Problem: Why More Agents Doesn't Mean More Intelligence</title><link>http://forrestchai.com/posts/agent-coordination-problem/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>http://forrestchai.com/posts/agent-coordination-problem/</guid><description>When every employee has multiple AI agents, the bottleneck stops being compute. It becomes context. As agent counts scale, coordination overhead grows quadratically — unless you build a shared context layer.</description></item></channel></rss>