What it does
Core capabilities at a glance
- Visual workflow orchestration for LLM apps
- Built-in RAG pipeline with multiple retrieval strategies
- Agent with code interpreter and tool integration
- Multi-LLM model support with fallback routing
- Prompt engineering IDE with versioning
- API and SDK for embedding into external apps
Deep dive
The full breakdown - performance, comparisons, and setup
Dify
Dify is the most complete open-source platform for building LLM-powered applications without writing code from scratch. It combines visual workflow orchestration, RAG pipelines, agent capabilities, and model management into a single platform.
What it is
Dify is a full-stack LLM application development platform. It provides a visual interface for designing AI workflows, connecting to models, building knowledge bases, and deploying apps. Think of it as a low-code platform specifically for LLM use cases - chatbots, Q&A systems, agents, and automated workflows.
Why this matters
Dify fills the gap between "I can use ChatGPT" and "I can build AI apps":
- Visual workflow builder: drag, connect, deploy - no coding required for basic apps
- Built-in RAG: ingest documents, configure chunking, choose retrieval strategy - all in the UI
- Agent with tools: code interpreter, web search, API calls - agents can use them autonomously
- Model hub: manage multiple providers, set fallback priorities, monitor usage
How it stacks up
| Dify | Flowise | Langflow | n8n | RAGFlow | |
|---|---|---|---|---|---|
| LLM focus | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓✓ |
| Visual builder | ✓ | ✓ | ✓ | ✓ | Basic |
| RAG pipeline | ✓✓ | ✓ | ✓ | ✗ | ✓✓ |
| Agent tools | ✓ | ✓ | ✓ | ✓ | ✗ |
| Deployment app | ✓ (Embed API) | ✓ (Widget) | ✓ (API) | ✓ (API) | ✗ |
| Best for | Full LLM apps | Quick prototypes | Research | Automation | Document RAG |
What runs on it
- Ollama - recommended local model provider
- n8n - complements Dify for complex automation workflows
- AnythingLLM - alternative RAG platform with different UX
Get started
# Docker deployment
git clone https://github.com/langgenius/dify.git
cd dify/docker
cp .env.example .env
docker-compose up -d
# Visit http://localhost:3000 to set up
# Connect to Ollama at http://host.docker.internal:11434What the community says
"Dify is the closest thing to a no-code LLM app builder that still gives you control. The RAG pipeline builder alone is worth the setup time."
- u/no-code-builder on r/LocalLLaMA, 312 upvotes
"We built our customer support chatbot in Dify in 2 days."
- u/smb-founder on r/selfhosted, 245 upvotes
When to use something else
- Simple chat UI only: Open WebUI is easier
- General automation: n8n has 500+ integrations vs Dify's LLM focus
- Custom RAG research: RAGFlow has deeper document understanding
Frequently asked
Quick answers to common questions
What is Dify?
Dify is a workflow tool for local AI workloads. Open-source LLM app development platform with visual orchestration, built-in RAG, and agent capabilities.
Is Dify free and open source?
Yes, Dify has 144,287 GitHub stars and is licensed under Apache-2.0. You can self-host it for free on web, docker.
What platforms does Dify support?
Dify runs on web, docker.
What hardware do I need for Dify?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Dify has 144,287 GitHub stars and an active community.
Does Dify support GPU acceleration?
Dify's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to Dify?
Popular alternatives include other workflow tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does Dify cost?
Dify is freemium. Check the official website for current pricing.
Pairs well with
Complementary tools, models, and hardware
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