LangChain vs LangGraph

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

What people use each for

The jobs each tool is most often brought in to do.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pricing, plan by plan

Which should you pick?

Questions people ask

Is LangChain or LangGraph better?

Neither clearly leads. LangChain starts at Free and LangGraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, LangChain or LangGraph?

LangChain starts at Free and LangGraph at Free.

Does LangChain or LangGraph run on more platforms?

LangChain runs on Linux, Mac, Windows. LangGraph runs on Python, JavaScript, Web.

Can I use LangChain for free?

Both have a free tier, so you can try either at no cost before committing.

What is LangChain best used for?

LangChain is most often used for building llm applications and agents in python or javascript, tracing and debugging llm chains and agent runs, evaluating prompt and model changes against datasets. Of those, building llm applications and agents in python or javascript and tracing and debugging llm chains and agent runs are not what LangGraph is typically brought in for.

What can LangChain do that LangGraph cannot?

LangChain covers Chains and agents, Retrieval-augmented generation, Tool integration, Prompt templates. LangGraph covers Human-in-the-loop controls, Customizable workflows, Token-by-token streaming, Low-level control. Both handle Memory management.