Hi everyone,
I’m currently a final-year student working on my graduation project, and I’ve run into a bit of conflicting advice between my supervisors.
My project involves building an AI-driven pipeline with multiple agents. My idea was use LangGraph to orchestrate 3 agents and n8n for automation tasks like triggering the pipeline, sending emails, notifying clients, etc.
So basically:
LangGraph = agent orchestration
n8n = integrations & workflow automation
However my university supervisor told me that this approach is wrong because both tools “do the same thing”
From your experience are LangGraph and n8n overlapping tools, or do they actually complement each other? Is it good practice to separate AI orchestration from automation workflows like this? Have any of you used both in the same architecture?
I’d really appreciate feedback, especially from people who’ve worked with agent-based systems in production.
Thanks!