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Dify

Developer & API Tools
β˜…β˜…β˜…β˜…β˜†4.4/ 5 Β· editorial ratingFreemium

What is Dify?

Open-source LLM app development platform. Build chatbots, agents, and AI workflows visually with RAG, model switching, and monitoring.

Dify is an open-source platform for building LLM applications. A drag-and-drop workflow builder lets you create chatbots, agents and workflows, with built-in RAG, model switching and monitoring. Model API usage is billed separately by your chosen provider.

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 β€” you pay providers directly
  • Team plan required for more than a couple of collaborators

What can you use Dify for?

β†’Building and deploying LLM-powered chatbots or agents with minimal code
β†’Prototyping RAG pipelines
β†’Internal AI tools for teams
β†’Self-hosting for full data control

How much does Dify cost?

Model/LLM API usage is billed separately by your chosen provider β€” Dify's subscription only covers the platform itself.

Sandbox

Free
  • Self-serve, limited usage
Most Popular

Professional

$59/workspace/mo
  • 5,000 messages
  • Unlimited apps
  • Priority support

Team

$159/workspace/mo
  • 10,000 messages
  • 5 team members

Self-Hosted (Community)

Free
  • Open-source license
  • No usage limits
  • Self-supported

How to use Dify

  1. Sign up at dify.ai (or self-host the open-source version) and create a new app.
  2. Choose an app type -- chatbot, agent, or workflow -- as your starting template.
  3. Connect an LLM provider and, if needed, upload documents for a RAG knowledge base.
  4. Build the app logic visually, testing it in the built-in playground.
  5. Publish the app to get an API endpoint or embeddable widget, and monitor usage from the dashboard.

Is Dify worth it?

8.8

Dify makes it genuinely fast to go from idea to a deployed, API-accessible LLM application without writing a full backend. Teams that need very custom, code-heavy orchestration logic are better served by a framework like LangChain, which trades more manual setup for finer control.

How we write this page: details come from the tool's official site, documentation and pricing page, plus published reviews where noted. We have not tested every feature hands-on, and prices and limits change, so confirm them on the official site before you buy.

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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