Dify is an AI development platform that simplifies the creation of production-ready agentic AI applications and RAG pipelines. It provides a visual workflow builder, multi-LLM integration, and Backend-as-a-Service (BaaS) for rapid deployment and scalability.
Funding
Funding not disclosed
Founders
Product
Problem
Developing production-ready agentic AI solutions requires integrating multiple components, managing diverse LLM providers, and orchestrating complex workflows. This process often involves significant engineering effort for data preparation, model selection, and deployment, hindering rapid iteration and scalability.
Solution
Dify provides an integrated AI development platform that streamlines the creation of production-ready agentic AI applications. It offers a visual interface for building Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and integrating with a wide array of global Large Language Models (LLMs), including open-source and proprietary options. The platform's Backend-as-a-Service (BaaS) capabilities facilitate rapid deployment and offer scalable, stable infrastructure for AI applications. Users can also extend functionality through a marketplace of plugins and connect to external systems via standardized MCP protocols.
Target Audience
The platform targets AI developers, product teams, and enterprises seeking to accelerate the development and deployment of sophisticated AI applications and autonomous agents.
Features
- Visual workflow builder for designing agentic AI applications and RAG pipelines using a drag-and-drop interface.
- Support for integrating and comparing performance across multiple LLMs, including OpenAI, Anthropic, and open-source models.
- Retrieval-Augmented Generation (RAG) capabilities for enhancing LLM responses with custom data.
- Plugin system for extending AI application capabilities with external tools and services.
- Backend-as-a-Service (BaaS) for simplified deployment, scaling, and management of AI applications.
- MCP (Message Communication Protocol) integration for connecting to external APIs and services, and for publishing Dify-built workflows as MCP servers.
- Observability features for monitoring and managing AI application performance.
- Support for local LLMs via OpenAI-compatible APIs and Ollama.
- Production-ready infrastructure designed for scalability, stability, and enterprise-grade security.