Dify
🗒️ What is Dify?
Open-source LLM app development platform. Build chatbots, agents, and AI workflows visually with RAG, model switching, and monitoring.
Dify is particularly strong at open-source with a fully free self-hosted option, visual workflow builder for LLM apps and agents, and bring-your-own model keys across providers, making it a popular choice for building and deploying LLM-powered chatbots or agents with minimal code and prototyping RAG pipelines. One thing to keep in mind: cloud plans bill on message credits, which can run out fast at scale.
✨ What are Dify's key features?
Visual workflow builder
Drag-and-drop interface for building LLM applications -- chatbots, agents, workflows -- without writing a full custom backend.
RAG pipeline support
Built-in tools for connecting an LLM app to your own documents and data for retrieval-augmented generation.
Multi-model support
Swap between OpenAI, Anthropic, open-weight models, and others within the same app without rebuilding it.
Instant API and embeddable widget
Every app built in Dify automatically gets a usable API endpoint and an embeddable chat widget.
Self-hosting option
Open-source and can be self-hosted, useful for teams with data-residency or customization needs.
Prompt and agent orchestration
Combine prompts, tools, and knowledge bases into a coherent agent without hand-writing orchestration code.
👍 What are Dify's pros and cons?
Pros
- Open-source with a fully free self-hosted option
- Visual workflow builder for LLM apps and agents
- Bring-your-own model keys across providers
- Active plugin and tool ecosystem
Cons
- Cloud plans bill on message credits, which can run out fast at scale
- LLM API costs are separate from the subscription — you pay providers directly
- Team plan required for more than a couple of collaborators
🎯 What can you use Dify for?
💰 How much does Dify cost?
Model/LLM API usage is billed separately by your chosen provider — Dify's subscription only covers the platform itself.
Sandbox
- Self-serve, limited usage
Professional
- 5,000 messages
- Unlimited apps
- Priority support
Team
- 10,000 messages
- 5 team members
Self-Hosted (Community)
- Open-source license
- No usage limits
- Self-supported
🚀 How to use Dify
- Sign up at dify.ai (or self-host the open-source version) and create a new app.
- Choose an app type -- chatbot, agent, or workflow -- as your starting template.
- Connect an LLM provider and, if needed, upload documents for a RAG knowledge base.
- Build the app logic visually, testing it in the built-in playground.
- Publish the app to get an API endpoint or embeddable widget, and monitor usage from the dashboard.
🔀 Best Dify alternatives
Flowise
A similar visual, open-source LLM app builder worth comparing for a different UI and node ecosystem.
LangChain
A code-first alternative for developers who want full control rather than a visual builder.
CrewAI
Better if the goal is specifically multi-agent, role-based orchestration rather than a general app builder.
🏆 Is Dify worth it?
Dify earns its rating for making it genuinely fast to go from idea to a deployed, API-accessible LLM application without writing a full backend. It's a less ideal fit for teams that need very custom, code-heavy orchestration logic, where a framework like LangChain gives more granular control at the cost of more manual setup.
❓ Frequently Asked Questions
Is Dify free to use?
Yes, the open-source version is free to self-host, and the hosted cloud version has a free tier with usage limits.
Do I need to code to use Dify?
No, its core value is a visual, low-code interface for building LLM applications, though custom code can be added for advanced logic.
Can Dify apps use my own documents?
Yes, built-in RAG pipeline support lets you upload documents and build a knowledge base the app can retrieve from.
Is Dify open-source?
Yes, it is open-source and can be self-hosted, in addition to the hosted cloud offering.
What can I build with Dify?
Chatbots, AI agents, and multi-step workflows, each of which gets an instant API endpoint and embeddable widget once published.
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