Dify is an open-source LLM application development platform that combines an intuitive visual interface with powerful backend capabilities for building AI workflows, RAG pipelines, agent systems, and model management from prototype to production. It solves the challenge of LLM application development by providing a no-code visual canvas for designing complex AI workflows, along with seamless integration with hundreds of proprietary and open-source models from dozens of inference providers. Dify enables both technical and non-technical teams to build production-ready GenAI applications including chatbots, research assistants, document Q&A systems, and automated content generators without writing extensive backend code.
Dify offers a comprehensive feature set including a visual workflow builder for multi-step AI pipelines, extensive RAG capabilities with support for PDF, PPT, and other document format ingestion, agent capabilities based on LLM function calling or ReAct patterns with 50+ built-in tools like Google Search, DALL-E, and WolframAlpha, and model management for switching between providers effortlessly. The platform supports MCP protocol integration for connecting to external services, multi-modal processing, observability with LangFuse integration, and team collaboration features. Dify Cloud provides a managed hosting option with a free sandbox plan including 200 GPT-4 calls for quick evaluation.
Dify targets AI developers, product teams, and enterprises building LLM-powered applications who want a visual development platform that bridges the gap between no-code simplicity and code-level flexibility. It integrates with models from OpenAI, Anthropic, Google, Mistral, Llama, and any OpenAI API-compatible provider, with deployment options including Dify Cloud, self-hosted Docker deployments, and on-premise installations for enterprise environments. Dify is particularly well-suited for organizations that need to empower cross-functional teams to build and iterate on AI applications, with the visual workflow builder making complex AI pipelines accessible to product managers and business analysts alongside engineers.
