无代码AI Agent构建2026：Dify vs Langflow vs n8n
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No-Code AI Agent Builders: The 2026 Shortlist
Building AI workflows visually is now mainstream. Three open-source platforms dominate the conversation in 2026: Dify (150,995 GitHub stars), Langflow (152,713 stars), and n8n (198,957 stars). All three are self-hostable, free to start, and capable of shipping real products - the choice is about what you are building.
Dify: The RAG and Chatbot Specialist
Dify is the fastest path to a production chatbot or RAG app: drag-and-drop knowledge base ingestion (files in, chunks out), visual prompt orchestration, built-in evaluation, and a polished chat UI you can embed in your site. It is the best choice when your project is answering questions over documents - customer support bots, internal knowledge assistants.
Langflow: The Flexible Visual Canvas
Langflow brings LangChain-style components (models, retrievers, agents, tools) onto a visual canvas. It is more flexible than Dify for custom logic - you can wire anything to anything - at the cost of a steeper learning curve. Best for developers who want a visual prototype they can later export as code.
n8n: The Workflow Automation Workhorse
n8n is a general workflow automation platform with 400+ integrations and native AI nodes. It is the right tool when your AI is one step in a larger process: trigger on a form submission, call an LLM, update a CRM, send a Slack message. Its AI Agent node handles simple agent loops, and the ecosystem of community nodes is huge.
The Decision Table
| Project type | Pick |
|---|---|
| Chatbot / RAG over documents | Dify |
| Visual prototype of custom logic | Langflow |
| AI inside a multi-step business workflow | n8n |
| Need to embed a chat widget | Dify |
| Need 400+ app integrations | n8n |
Deployment Reality
All three run in Docker on a single VPS. Dify and Langflow are heavier (multiple services); n8n is lighter. For production, put them behind a reverse proxy, use the built-in auth, and monitor via the platform's own logs. Start with the smallest setup that ships your first workflow - you can migrate later.
FAQ
Are these really free? Open source and self-hostable; cloud versions have paid tiers.
Do I need to know how to code? Basic logic thinking helps; these platforms are genuinely visual.
Can I use local LLMs with them? Yes - all three connect to Ollama, vLLM, and OpenAI-compatible endpoints.
Which scales best? n8n for workflow volume, Dify for chat traffic; all need real servers for serious load.
