Dify

Open-source platform to build and ship LLM apps.

Visit Dify dify.ai

Free plan available; paid tiers are listed on the website.

Screenshot of the Dify website

Dify is an open-source platform for building and shipping LLM applications and AI agents. It brings the common building blocks of an AI app together so you can go from idea to deployment faster.

What it does

Dify gives you a visual interface and backend for creating chatbots, agents and RAG apps. You connect model providers, add your own data for retrieval-augmented generation, design workflows and manage prompts, then deploy the result as a web app or API. Being open source, it can be self-hosted for teams that want full control.

Who it’s for

Dify suits developers and teams who want to build production-grade LLM apps without stitching together every component themselves. The combination of RAG, workflows and agents in one platform is a strong draw, though self-hosting adds operational work and the breadth of features takes time to master. A free plan is available, with paid cloud tiers listed on the website.

Key features

  • Open-source platform for LLM apps and agents
  • Built-in RAG for chatting with your own data
  • Visual workflow and prompt-management tools
  • Supports many model providers
  • Deploy apps as web apps or APIs

Pros & cons

👍 Pros

  • Open source with a self-host option
  • Combines RAG, workflows and agents in one place

👎 Cons

  • Self-hosting adds operational overhead
  • Broad feature set takes time to learn fully

Dify — FAQ

What is Dify?

Dify is an open-source platform for developing LLM applications and AI agents, with built-in RAG, workflow and prompt-management tools.

What does Dify do?

It provides a visual interface and backend for building chatbots, agents and RAG apps, letting you connect models and data and then deploy them as apps or APIs.

Is Dify free?

Dify is open source with a free plan, and paid tiers for its cloud service are listed on the website.

Who is Dify for?

Developers and teams who want to build and ship production LLM apps and agents without assembling everything from scratch.