framework-selection

Use LangGraph over LangChain when your agent design requires complex control flow and stateful cycles. LangChain suits simple tool-loops, whereas LangGraph orchestrates intricate, multi-actor state transitions for advanced deep agents.

Yes, you can combine Deep Agents for orchestration with LangGraph for specialized sub-tasks. This layered architecture aligns framework capabilities, using Deep Agents middleware to coordinate LangGraph complex control flow nodes.

To choose the right agent framework, evaluate project complexity against a decision matrix. This prevents over-engineering or under-powering your agent, ensuring architectural alignment between task requirements and framework capabilities.

LangChain provides simple tool-loops for basic agent execution, while Deep Agents offers full-featured middleware for comprehensive orchestration. Deep Agents handles higher-level architectural alignment than LangChain foundational tool-loops.

Using LangGraph for simple agent design risks over-engineering. Evaluating project requirements against a decision matrix prevents over-engineering, guiding you to use LangChain simple tool-loops when complex control flow is unnecessary.