LangChain / LangGraph
First met in aicp-c3-basecamp-02 · Dev libraries & frameworks
LangChain / LangGraphFirst met in aicp-c3-basecamp-02 · Dev libraries & frameworks
The code layer under most agent tooling — LangChain for chains and tools, LangGraph for stateful multi-step agents.
You're writing the agent in code rather than on a canvas — or you want to know what n8n's AI nodes are actually doing.
n8n's AI features are built on it, per the BC2 trainer — the canvas is a UI over this
LangGraph handles genuinely stateful agents, not just linear chains
The course's advice: point a coding agent at the docs rather than learning it by hand
Provides the building blocks for agents: models, memory, tools, chains
Runs stateful multi-step agent graphs via LangGraph
Doesn't suit non-technical builders directly — the recommendation is to let a coding agent write against it
Doesn't replace a visual platform for workflows a team has to maintain
Underneath everything agentic. Worth knowing exists even if you never import it.
Dev libraries & frameworks
No agent code in the pipeline.
Only relevant if the vector phase grows into something agentic rather than a search index.
current
n8n: n8n's AI layer is built on LangChain
claude-code: the recommended way to use it — have the agent write the code