<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Workflows on SoloSoft</title><link>https://www.solosoft.dev/tags/agent-workflows/</link><description>Recent content in Agent Workflows on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/agent-workflows/index.xml" rel="self" type="application/rss+xml"/><item><title>LangGraph: Building Stateful Multi-Agent Workflows with LangChain</title><link>https://www.solosoft.dev/post/langgraph-workflow-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/langgraph-workflow-2026/</guid><description>&lt;p&gt;The first generation of LLM agents followed a simple, predictable loop &amp;ndash; the ReAct pattern of Thought, Action, Observation. But real-world applications require more sophisticated orchestration: multiple agents working together, conditional branching, human oversight, persistent state across complex workflows, and the ability to loop back for refinement. &lt;strong&gt;LangGraph&lt;/strong&gt; provides the graph-based architecture that makes these patterns possible.&lt;/p&gt;
&lt;p&gt;LangGraph extends LangChain&amp;rsquo;s agent capabilities from linear chains to directed graphs, where each node is a computational step and edges define the control flow. This deceptively simple generalization &amp;ndash; from chains to graphs &amp;ndash; enables an enormous range of previously impractical agent architectures.&lt;/p&gt;</description></item></channel></rss>