It is worth pointing out that both of them are workflow tools first. The AI agent part is expressed though steps where a model is invoked. This opens the door to a number of issues including vulnerabilities.
My personal, and my I say biased, opinion is that these tools do not deliver on the agentic promise. AI agents require a completely different approach.
The definition of an agent is so vague now. What is the agentic promise and why wouldn't a workflow tool with LLM steps cannot deliver on this promise? Also what vulnerability are you referring to?
I have no stakes in n8n or node red, but being able to embed LLMs in a workflow and conversing with a "workflow" seems to solve a lot of agentic/assistance problems (Make a report of revenue, and send an email report to these people,for example)
What is the completely different approach you are suggesting?
Beginner here, I sort for agree. I think these tools are good to make a few good demos and quickly sketch something but you hit the ceiling soon where every other thing you do needs more work. There a lot of tutorials online plus the promise of AI automation as the next "get rich quick" thing.
I am curious what is a good tool to build agents these days? I am checking out mastra, someone at the cafe told me about Inngest.. wondering what would you use?
My personal, and my I say biased, opinion is that these tools do not deliver on the agentic promise. AI agents require a completely different approach.