Skip to content

AI Automation

Visual platforms for building AI workflows and applications without writing code.

Overview

  • Visual workflow builders -- drag-and-drop interfaces for constructing AI pipelines
  • Local LLM backends -- connect to Ollama and other local inference engines
  • Self-hosted Docker deployment -- run everything on your own hardware
  • No-code/low-code -- build AI applications without deep programming knowledge

Agent Frameworks vs AI Automation

The Agent Frameworks section covers code-based tools like LangChain, LangGraph, and CrewAI. This section covers visual, low-code platforms that provide browser-based interfaces for building AI workflows.

Platform Comparison

Feature n8n Dify
Primary purpose General workflow automation AI application platform
AI capabilities AI Agent, Text Classifier, Summarizer nodes Chatbot, Agent, Workflow, Text Generator apps
Ollama integration Native Ollama credential + chat nodes Model provider setting
RAG Via Qdrant/Pinecone/Chroma vector store nodes Built-in knowledge base with chunking and retrieval
Visual editor Workflow canvas with 400+ integration nodes DAG workflow editor with LLM/code/conditional nodes
Multi-user Yes (community edition) Yes
API Webhook triggers, REST endpoints RESTful API for all app types
License Sustainable Use License (free self-hosted) Apache-2.0 (core)
Deployment Docker Compose Docker Compose

Recommendation by Use Case

Use Case Recommended
AI-powered automations (email, Slack, webhooks) n8n
Building chatbots and AI apps Dify
RAG applications with knowledge bases Dify
Multi-step workflows with non-AI steps n8n
Prototyping AI agents Either
Connecting 400+ third-party services n8n
LLM observability and usage tracking Dify

In This Section

Document Description
n8n Workflow automation with AI agent nodes and Ollama integration
Dify AI application platform with RAG, agents, and visual workflows

See Also