Unverified50% confidenceFactExact time
The persistent intermediate state storage of Deep Agents is typically implemented via LangGraph's state graph mechanism.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/15/2026
First Seen
Valid until: 12/14/2026
Sources
Related Entities
Related Claims
UnverifiedDeepAgent is a highly encapsulated component within the LangGraph ecosystem, built on top of large models plus Agent, where the Agent at its core is essentially an implementation of LangGraph76% similarVerifiedAt its core, an Agent is essentially an implementation of LangGraph (graph tool).72% similarUnverifiedLangChain负责组件层的标准化封装，LangGraph将Agent执行流程建模为有向图并引入持久化State状态管理机制71% similarVerifiedLangGraph provides built-in state persistence, checkpoint resumption, and Human-in-the-Loop capabilities.70% similarUnverifiedThe underlying implementation of create_agent is still a LangGraph graph, where each tool is a node; the difference is that the LangGraph graph is hardcoded, whereas the Agent's graph is dynamically generated by prompts.69% similar
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