<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>autogen on Duy Nguyen - Data Engineer</title><link>https://duynguyenngoc.com/tags/autogen/</link><description>Recent content in autogen on Duy Nguyen - Data Engineer</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Wed, 12 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://duynguyenngoc.com/tags/autogen/index.xml" rel="self" type="application/rss+xml"/><item><title>Multi-Agent Systems in 2026: The Rise of Collaborative AI</title><link>https://duynguyenngoc.com/posts/multi-agent-systems-2026/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://duynguyenngoc.com/posts/multi-agent-systems-2026/</guid><description>Why Multi-Agent Systems Are the Defining Trend of 2026 The AI landscape is undergoing a fundamental shift. Throughout 2024–2025, we saw the rise of single-agent applications — LLMs wrapped with tools, chaining prompts, and executing tasks one step at a time. In production, those systems hit a wall: one agent struggles with complex, multi-step workflows that need specialization, parallel execution, and coordination.
Enter Multi-Agent Systems (MAS). In 2026, the center of gravity is moving from monolithic agents to coordinated teams of specialists — each with a narrow role — that share context, memory, and decisions in real time.</description></item></channel></rss>