LangChain

This post contains affiliate links. I may earn a commission at no extra cost to you. LangChain and LangGraph are often mentioned in the same breath, which makes sense—LangGraph is built on top of LangChain. But treating them as alternatives is a mistake. They solve different problems, and choosing the wrong one for your use case creates real friction. This guide cuts through the confusion. I will show you exactly what each framework is designed for, where each one breaks down, and how to make the decision for your specific project. ...

This post contains affiliate links. I may earn a commission at no extra cost to you. Most AI agent frameworks treat conversations as stateless — every call starts fresh. That works for simple Q&A, but falls apart the moment you need multi-step workflows, conditional branching, or persistent memory across turns. LangGraph solves this by modeling your agent as a directed graph where each node is a processing step and edges determine what happens next. ...