Unverified50% confidenceFactExact time
LangGraph 支持 ReAct、Plan-and-Execute 等主流 Agent 架构模式，允许节点之间存在条件分支、循环和并行执行路径
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
LangChain 1.3 Hands-On Introduction: Understanding LLMs and Agents at the Core
bilibilicoming-AI7/9/2026
Related Claims
UnverifiedThe ReAct pattern has become the core design foundation of mainstream Agent frameworks such as LangGraph and CrewAI83% similarUnverifiedLangGraph officially provides example cases for advanced patterns such as RAG, Cyclic Agent, and Plan-and-Execute.80% similarUnverifiedUnlike LangChain's chained calls, LangGraph supports loops, conditional branching, and state persistence, making it suitable for Agent scenarios that require iterative reasoning.80% similarVerifiedLangChain is based on the ReAct (Reasoning + Acting) think-act loop pattern and provides a general-purpose tool-chain orchestration framework.78% similarUnverifiedLangChain Agent支持在单次执行循环中并行调用多个工具77% similar
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