Unverified50% confidenceFactExact time
新版LangChain通过LangGraph将ReAct循环抽象为有向图（DAG），使复杂的多步骤、多分支Agent工作流变得可视化和可控
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/3/2026
First Seen
Valid until: 10/1/2026
Sources
LangChain入门：Model与Agent核心概念详解
bilibiliAgentic_RAG7/2/2026
Related Claims
UnverifiedLangGraph 将 ReAct 循环图化，将思考、行动、观察节点变为图中的具体 Node，循环终止条件通过条件边显式定义74% similarUnverified与传统的DAG（有向无环图）不同，LangGraph支持循环（Cycles）73% similarUnverifiedDify工作流的整体执行图必须是DAG（有向无环图）或带有受控循环的有向图69% similarUnverifiedLangGraph 通过图结构的循环边和检查点（Checkpoint）机制原生支持 ReAct 和 Human-in-the-loop 模式69% similarUnverified工作流是一种将多个处理步骤串联成有向无环图（DAG）的编排机制69% similar
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