Unverified50% confidenceFactExact time
技术栈层次为：DeepAgent基于Agent，Agent底层是LangGraph，LangGraph驱动LLM
1
Sources
50%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
LangChain 1.3实战：DeepAgent架构与Harness思想全解析
bilibili双非本想做大模型7/7/2026
Related Claims
Unverified本次教程将LangChain和LangGraph底层相通的部分抽象为'Agent的底层基座'，DeepAgent的底层同样基于LangGraph构建77% similarUnverifiedBoth DeepAgents and LangChain are implemented based on LangGraph.74% similarUnverifiedA complete technology stack has formed around models such as DeepSeek, including inference frameworks (vLLM, SGLang) and Agent frameworks (such as domestic adaptations of MetaGPT and AutoGen)73% similarUnverifiedDeepAgent is built on LangGraph at its foundation, representing a paradigm in which task planning is entirely delegated to the large model for autonomous completion.71% similarVerifiedDeepAgent is a highly encapsulated module within the LangChain and LangGraph ecosystem and is a concrete implementation of the Harness architectural philosophy.70% similar
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