Aulafy
Courses/Production agents with LangGraph and n8n/LangGraph, n8n, and CrewAI: What to Use

LangGraph, n8n, and CrewAI: What to Use

The question isn't "which is the best framework," but which piece solves your problem with less risk. In production, you almost always separate two worlds: stateful orchestration and tool automation.

  • Distinguish LangGraph, n8n, and CrewAI without turning it into a tool war.
  • Choose architecture based on state, tools, human review, and team.
  • Design a small business agent before writing code.

Quick selection rule

  • n8n : use it for triggers, integrations, emails, CRMs, spreadsheets, webhooks, and flows visible to a small business.
  • LangGraph : use it when the agent needs explicit state, loops, branches, retries, memory, and fine-grained flow control.
  • CrewAI : use it for prototypes of agent teams with clear roles, when you want to express tasks and collaboration quickly.

Base design for Aulafy

TerminalCode
Entrada: email, formulario, issue o webhook de n8n
Clasificador: LangGraph decide tipo de tarea y riesgo
Herramientas: n8n ejecuta acciones externas
Aprobación: humano revisa antes de enviar, borrar, pagar o publicar
Salida: borrador, informe, ticket o tarea completada
Log: qué decidió, con qué datos y por qué