framework-selection

To choose the right AI framework, evaluate your task complexity, control flow needs, and required features like planning and memory. LangChain fits simple tasks, LangGraph handles complex orchestration, and Deep Agents manage advanced planning.

You should use LangGraph over LangChain when your AI project requires complex branching logic and persistent state. LangGraph provides the necessary control flow orchestration that basic LangChain setups cannot handle efficiently.

The frameworks use a layered architecture where LangChain handles basic operations, LangGraph adds complex orchestration, and Deep Agents build on top for advanced planning and file management capabilities.

Yes, you can combine LangChain frameworks for advanced applications. The framework selection process provides guidance on integrating these layers to leverage both simple task execution and complex orchestration simultaneously.

Yes, you need Deep Agents for AI projects requiring advanced file management. Deep Agents operate at the highest framework layer to provide specialized planning and file management features beyond basic LangChain capabilities.