Deep Agents vs LangChain vs LangGraph

Langchain··Submitted by Mads Kristian Nylund
Open Source AIAI InfrastructureAI-agents

Deep Agents provides comprehensive context management and is suited for complex workflows requiring full control over every step, while LangChain offers flexible integration and fine-grained control over the agent loop, and LangGraph supports deterministic workflows with human-in-the-loop capabilities. Each layer provides distinct levels of control and abstraction, with Deep Agents being the starting point for most agent builds, LangChain for custom tool integration, and LangGraph for deterministic workflows.

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