Flowise, Langflow, n8n. The three names in every visual builder conversation, compared constantly, usually badly. Every AI agent builder tool gets compared on vibes and screenshots. Let us do criteria instead. They overlap less than the arguments suggest, and the right pick depends on what you are actually building, which sounds obvious and is somehow always skipped.
Roughly: Flowise is a visual builder for assembling agent flows, popular with people who want a canvas over LangChain-style building blocks, and it self-hosts. Langflow is also a visual canvas for agent flows, with its own node-and-edge flavor, also open source and self-hostable. n8n is the older workflow automation platform that grew AI agent capabilities, with a massive integration library from its automation years. All three let non-programmers build real things. None is a toy. I have seen production systems on all three, which surprised me exactly once each. Each has a credible no-code AI agent builder app free story too, whether as open source or a free tier, so cost of entry is not the differentiator. Fit is.
The criteria that actually separate them. Integration depth: if your agent needs to touch fifty SaaS tools, n8n's automation heritage is a genuine advantage. Agent-specific design: builders designed around agent flows handle multi-step reasoning more naturally than a general automation tool with agents bolted on. Self-hosting: all three offer it, which matters when your data cannot leave your infrastructure. Community and templates: the template library decides how fast your first build goes. Boring criteria. Correct criteria.
I will not crown a winner, because the honest answer is boring: prototype the same small workflow in two of them and feel the difference. An afternoon of that beats a week of comparison articles. Including this one. Especially this one. For the best AI agent builder open source shortlist, all three qualify, and our database at localaiagents.fyi tracks the frameworks underneath with activity scores. Our AI agent framework comparison covers them too. And when the canvas stops being enough, I build custom AI agents scoped to your actual workflow at localaiagents.fyi.