Target users

Dify is designed for teams and developers building AI-powered applications. It suits AI engineers, data scientists, product managers, and organizations looking to deploy autonomous agents, RAG pipelines, and agentic workflows without managing complex infrastructure. The platform's drag-and-drop interface also makes it accessible to non-technical users who want to create AI apps visually.

How to use Dify?

To get started, visit the Dify website and sign up for an account. From the dashboard, you can drag and drop components to visually create AI apps and workflows. Connect your data via RAG pipelines, choose from global LLMs, and integrate with external systems using native MCP. Once built, publish your application using flexible options—Dify's Backend-as-a-Service handles the underlying complexities. The platform also has a forum where you can join discussions, share insights, and explore how others are building with Dify.

Effect review

Dify positions itself as an all-in-one platform for building production-ready AI agents and workflows, and the feature set supports that claim well. The drag-and-drop workflow builder, combined with multi-LLM support and RAG pipelines, gives developers a practical toolkit for rapid prototyping and deployment. The native MCP integration and plugin ecosystem add flexibility for connecting to external systems. While the website text doesn't include specific user feedback or awards, the platform's comprehensive feature set—from observability to Backend-as-a-Service—suggests it's a solid choice for teams looking to streamline AI application development without getting bogged down by infrastructure details.