dify vs n8n for building ai agents without coding
For a no-code AI agent, pick Dify if the agent itself is the product — a chatbot or assistant that reasons over your own documents — and n8n if the agent’s job is to automate tasks across many apps. Dify is genuinely no-code and RAG-native. n8n is low-code automation with an LLM bolted on. That one distinction decides it more than any feature list.
| tool | what it does | price | best when |
|---|---|---|---|
| Dify | AI-native app builder: visual agent + built-in RAG + prompt IDE, ship as a chatbot or API | free self-host (from ~€3.79/mo VPS) · $59/mo cloud (5k credits) | the agent is the product |
| n8n | workflow automation with an AI Agent node; wire 500+ apps, LLM as one step in a flow | free self-host · €20/mo cloud (2,500 executions) | the agent automates across apps |
which one is actually no-code?
Dify. For building an AI app — an agent, a RAG chatbot, a prompt tool — you genuinely never touch code. You upload documents, wire a flow on a canvas, pick a model, hit deploy. n8n calls itself no-code, and the happy path is: drag nodes, connect apps. But the moment you need to reshape data between two steps — split a field, loop a list, format a date — you drop into an inline JavaScript (or Python) node. That’s not a knock; it’s the design. Just don’t buy the “without coding” label for anything past a demo.
dify vs n8n: pricing, and when self-host is cheaper
Both are free to self-host and run fine on a ~€4/mo VPS — that’s the real answer for a solo builder. Cloud only earns its keep when you don’t want to babysit a server.
- Dify cloud: Sandbox free (200 credits), Professional $59/mo (5,000 message credits), Team $159/mo (10,000). Billed per message.
- n8n cloud: Starter €20/mo (2,500 executions), Pro €50/mo (10,000), Business €667/mo. Unlimited workflows and users — you only pay for execution volume.
The n8n gotcha worth knowing before you commit: one workflow run is one execution no matter how many nodes fire, sub-workflows count as extra, and failed runs still burn quota. A chatty agent that retries can eat executions fast. Self-hosting is cheaper right up until roughly 5,000–15,000 runs a month, where your own time babysitting it starts to cost more than the cloud bill.
which is better for an agent over your own documents?
Dify, not close. It has a real RAG pipeline built in — upload docs, it chunks, indexes into a vector store, and your agent answers from your data without you assembling five tools. If your goal is “a chatbot that knows my knowledge base,” Dify is the shorter road by a mile. Doing the same in n8n means bolting together a vector store, an embeddings node, and retrieval logic by hand — possible, but you’re now the integrator.
which is better for automating tasks across apps?
n8n, and it’s not close the other way. 500+ integrations, triggers, schedules, error branches with retries — its whole life is moving data between systems, now with an LLM as one smart step in the chain. “When a Stripe payment fails, have an agent draft the dunning email and log it to Notion” is a native n8n job and an awkward Dify one. Dify builds the brain; n8n gives it hands into your other tools.
where does each one break?
Dify hits a wall on genuinely custom logic — reviewers peg it at roughly 70% of typical cases on the visual builder, and the last 30% (weird branching, bespoke control flow) runs into the ceiling of what the canvas expresses. Plus the license: you can’t resell it as a multi-tenant SaaS or remove its branding without paying for a commercial license, which matters the day you try to productize it for clients.
n8n breaks on the “no-code” promise the second real data-shaping shows up — that’s your inline-JS tax. Execution-based billing punishes chatty, retrying agents. And it’s fair-code, not true open source: self-host all you want, but standing it up as a paid service for other people needs n8n’s sign-off.
Neither is the “better AI agent builder,” because they’re barely the same category. Dify is a workshop for building one smart thing. n8n is plumbing that connects a lot of things, with room for one smart thing in the middle. Pick by what your agent’s day actually looks like — is it thinking, or is it fetching? Answer that and the versus disappears.