<?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>DAG on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/dag/</link><description>Recent content in DAG on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:21:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/dag/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent工作流编排：从DAG到自适应流程</title><link>https://guijiagi.com/posts/b1-bc5cc1d9/</link><pubDate>Thu, 16 Jul 2026 11:21:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-bc5cc1d9/</guid><description>系统讲解AI Agent工作流编排的技术方案，从静态DAG到动态自适应流程的演进路径</description></item><item><title>Agent工作流引擎设计：从DAG到动态流程的演进</title><link>https://guijiagi.com/posts/agent-workflow-engine/</link><pubDate>Thu, 02 Jul 2026 10:07:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-workflow-engine/</guid><description>深入探讨Agent工作流引擎的核心设计、调度策略与动态编排机制</description></item><item><title>Agent工作流引擎选型：Temporal vs Airflow vs 自研</title><link>https://guijiagi.com/posts/agent-workflow-engine-comparison/</link><pubDate>Tue, 30 Jun 2026 10:25:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-workflow-engine-comparison/</guid><description>深度对比Temporal、Airflow与自研工作流引擎在Agent场景下的优劣，提供选型决策框架与迁移路径</description></item><item><title>智能体工作流编排：从 DAG 到动态执行</title><link>https://guijiagi.com/posts/agent-workflow-orchestration/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-workflow-orchestration/</guid><description>深入探讨智能体工作流编排的演进路径，从静态 DAG 到动态执行图，涵盖 LangGraph 等主流框架的架构设计与实践</description></item></channel></rss>