Open Source No-Code AI Agents in 2026: n8n (199k Stars) vs Dify (151k) vs Langflow (153k) - Visual Agent Builders Compared

n8n (199,396 stars), Dify (151,406) and Langflow (152,859) let you build AI agents by dragging nodes - no code. Here is which visual builder fits which job in 2026.

💡 What You Will Learn

n8n (199,396 stars), Dify (151,406) and Langflow (152,859) let you build AI agents by dragging nodes - no code. Here is which visual builder fits which job in 2026.

## The short answer Three visual agent builders dominate 2026: **n8n** (199,396 stars) is the workflow-automation king with 400+ integrations - agents as part of bigger pipelines. **Dify** (151,406 stars) is the LLM-app platform: RAG, prompt studio, agent mode, API publishing. **Langflow** (152,859 stars) is the most developer-friendly - a visual canvas that maps 1:1 to LangChain components. ## Which one for which job | Tool | Stars | Sweet spot | Best for | |:-----|------:|:-----------|:---------| | n8n | 199,396 | Automation workflows | Zapier replacement + AI steps | | Dify | 151,406 | LLM apps & RAG | Chatbots, knowledge bases, APIs | | Langflow | 152,859 | Agent prototyping | LangChain users, complex agents | ## 30-minute starter: n8n AI agent 1. Install: `docker run -d -p 5678:5678 n8nio/n8n` - open http://localhost:5678 2. Add an "AI Agent" node with an LLM (Ollama/OpenAI) and a tool (e.g., HTTP Request). 3. Wire a trigger: Webhook, Slack message, or schedule. 4. Activate the workflow - the agent runs on every trigger. ## Dify's edge - Built-in RAG pipeline: upload docs, chunk, embed, retrieve - all visual. - One-click publish as API for your own apps. - Prompt management with versioning - team-friendly. ## Real numbers - n8n runs 100k+ self-hosted deployments and has an active paid cloud too. - Dify is used by 1M+ developers for LLM apps (per its site) with 151k GitHub stars. - Langflow generates exportable Python from the canvas - bridge to real code. ## FAQ **Q: Do they work with local models?** A: Yes - all three connect to Ollama (177,825 stars) or any OpenAI-compatible endpoint. **Q: Which has the gentlest learning curve?** A: Dify - the LLM-app templates do most of the setup. n8n assumes you know workflow concepts. **Q: Can I export my n8n workflow to code?** A: Not directly, but Langflow exports Python, and n8n workflows are JSON you can version-control.