Dify vs n8n vs Flowise

Overview

This comparison examines three visual AI workflow builders: Dify, n8n, and Flowise. All three enable users to build AI applications without deep coding expertise, but they have different strengths and use cases.

At a Glance

Aspect	Dify	n8n	Flowise
Focus	LLMOps platform	Workflow automation	LangChain visual builder
Open Source	Yes	Fair-code	Yes
AI-Native	Yes	Yes (added later)	Yes
Integrations	100+ models	1000+ apps	LangChain components
Deployment	Self-hosted, Cloud	Self-hosted, Cloud	Self-hosted
Learning Curve	Moderate	Moderate	Low

Core Philosophy

Dify: Complete LLMOps Platform

Dify is an open-source LLMOps platform that combines visual workflow building, RAG pipelines, agent capabilities, and model management. It's designed for teams building AI applications without deep ML expertise.

Key principles:

• Complete platform out of the box
• Visual workflow + code flexibility
• RAG-first design
• Model management built-in

n8n: Workflow Automation with AI

n8n is a workflow automation platform that has evolved to include powerful AI agent capabilities. It started as a general automation tool and added AI features, making it excellent for combining AI with traditional automation.

Key principles:

• General automation first
• AI as one of many capabilities
• 1000+ integrations
• Fair-code license

Flowise: LangChain Visual Builder

Flowise is a drag-and-drop UI builder specifically for LangChain. It allows users to visually construct LLM flows and chains without writing code, making LangChain accessible to non-technical users.

Key principles:

• LangChain-focused
• Visual first
• Instant feedback
• Easy deployment

Feature Comparison

Visual Builder

Dify:

┌─────────────────────────────────────────┐
│  Visual Workflow Builder                │
│                                         │
│  [Start] → [LLM] → [Knowledge] → [End]  │
│                                         │
│  • Drag-and-drop interface              │
│  • Pre-built nodes for AI patterns      │
│  • Code nodes for custom logic          │
│  • Real-time preview                    │
└─────────────────────────────────────────┘

n8n:

┌─────────────────────────────────────────┐
│  Node-Based Workflow                    │
│                                         │
│  [Webhook] → [AI Agent] → [Slack]       │
│                                         │
│  • 1000+ pre-built nodes                │
│  • AI nodes + traditional automation    │
│  • Error handling built-in              │
│  • Schedule triggers                    │
└─────────────────────────────────────────┘

Flowise:

┌─────────────────────────────────────────┐
│  LangChain Flow Builder                 │
│                                         │
│  [Prompt] → [LLM] → [Output Parser]     │
│                                         │
│  • LangChain components only            │
│  • Simple, focused UI                   │
│  • Instant visual feedback              │
│  • API endpoint generation              │
└─────────────────────────────────────────┘

RAG Support

Dify:

• Built-in RAG pipeline
• Document processing (PDF, Word, etc.)
• Chunking strategies
• Vector store integration
• Hybrid search (keyword + semantic)

n8n:

• RAG via LangChain nodes
• Manual pipeline construction
• Multiple vector store options
• More flexible but more setup

Flowise:

• RAG chains via visual builder
• Document loaders
• Embeddings + vector stores
• Retrieval + generation chains

Agent Capabilities

Dify:

• Built-in agent orchestration
• Multiple agent paradigms
• Tool integration
• Memory management
• Multi-step reasoning

n8n:

• AI agent nodes (LangChain-based)
• Tool calling support
• Multi-step workflows
• More general automation context

Flowise:

• Agent chains via visual builder
• ReAct, Plan-and-Execute patterns
• Tool integration
• More manual construction

Integrations

Integration Type	Dify	n8n	Flowise
LLM Providers	100+	100+	Via LangChain
Vector Stores	Built-in	Via nodes	Via LangChain
Webhooks	✅	✅	✅
Databases	✅	✅	Limited
Communication	✅	✅	Limited
Productivity	Limited	✅	Limited
Custom APIs	✅	✅	Via LangChain

Deployment Options

Dify:

# Self-hosted
docker compose up -d

# Cloud
https://dify.ai

n8n:

# Self-hosted
npm install -g n8n
n8n start

# Cloud
https://n8n.io/pricing

Flowise:

# Self-hosted
npm install -g flowise
flowise start

# Cloud
Not officially offered

Use Case Analysis

When to Choose Dify

✅ Complete LLMOps Needs

• RAG pipelines out of the box
• Model management
• Team collaboration
• Monitoring and analytics

✅ Production AI Applications

• Enterprise-ready
• Access control
• API deployment
• Usage tracking

✅ RAG-First Projects

• Document processing built-in
• Knowledge base management
• Hybrid search

✅ Multi-Model Support

• 100+ model providers
• Easy model switching
• Cost optimization

When to Choose n8n

✅ Automation + AI

• Combine AI with traditional automation
• Webhooks, schedules, triggers
• 1000+ app integrations

✅ Enterprise Workflows

• Team collaboration
• Role-based access
• Audit logging
• Self-hosted option

✅ Hybrid Use Cases

• AI agent + database operations
• AI + email + Slack
• Complex multi-step workflows

✅ Fair-Code Licensing

• Open core model
• Self-host for free
• Cloud for teams

When to Choose Flowise

✅ LangChain Prototyping

• Quick visual prototyping
• Test LangChain patterns
• Learn LangChain concepts

✅ Simple AI Flows

• Single-purpose AI applications
• Chat interfaces
• Basic RAG

✅ Non-Technical Users

• No coding required
• Drag-and-drop simplicity
• Instant feedback

✅ API Generation

• Auto-generate API endpoints
• Embed in existing apps
• Quick deployment

Performance Comparison

Metric	Dify	n8n	Flowise
Startup Time	Moderate	Fast	Fast
Resource Usage	Moderate	Moderate	Low
Scalability	High	High	Moderate
UI Responsiveness	Good	Good	Excellent

Pricing Comparison

Plan	Dify	n8n	Flowise
Self-Hosted	Free	Free (fair-code)	Free
Cloud Free	Limited	Limited	N/A
Cloud Paid	Yes	Yes	N/A

Migration Path

From Flowise to Dify

If you outgrow Flowise and need more features:

Flowise: Visual LangChain chains
    ↓
Dify: Complete LLMOps platform with
      - RAG pipelines
      - Agent orchestration
      - Model management
      - Team collaboration

From n8n to Dify

If you need more AI-focused features:

n8n: General automation + AI
    ↓
Dify: AI-first platform with
      - Better RAG
      - Better agent support
      - Model management

Conclusion

Choose Dify If...	Choose n8n If...	Choose Flowise If...
You need complete LLMOps	You need automation + AI	You want simple LangChain
You need RAG out of the box	You need 1000+ integrations	You're prototyping
You need team collaboration	You need general automation	You're non-technical
You need model management	You need fair-code license	You want quick API

All three are excellent choices. The right decision depends on your needs:

• Dify for complete LLMOps platform
• n8n for automation + AI combination
• Flowise for simple LangChain prototyping

Resources

• Dify Documentation
• n8n Documentation
• Flowise Documentation
• Dify GitHub
• n8n GitHub
• Flowise GitHub