Dify is the leading open source platform for creating AI agents and agentic workflows in production. It enables teams to visually build complex AI applications through drag-and-drop — chatbots, autonomous agents, RAG pipelines — without requiring code, while offering powerful APIs for developers. Dify supports all major global LLMs (OpenAI, Anthropic, Llama, Azure, Hugging Face), natively integrates the MCP protocol, and enables publishing agents as universal MCP servers. The platform covers the entire lifecycle: building, Knowledge Base RAG, monitoring, logs, and deployment. With over 1 million deployed applications, 5 million downloads, and the trust of Volvo, Ricoh, and thousands of teams worldwide, Dify is the reference for agentic AI in production.
What is Dify?
The essentials
Dify is an open source LLM engineering platform that enables creating AI applications ranging from simple chatbots to complex autonomous agents, including sophisticated RAG (Retrieval-Augmented Generation) pipelines. It offers two complementary access modes: a managed cloud service (Dify Cloud) and a self-hosted version deployable on any infrastructure. The platform covers the entire lifecycle of an AI application: visual building, data integration, model connection, deployment, monitoring, and feedback.
Key features
Dify includes several key features. App Studio enables creating five types of applications: chatbots, text generators, autonomous agents, chatflows (multi-step conversational), and workflows (automated task pipelines). The visual drag-and-drop editor makes creating complex workflows accessible without code. The integrated Knowledge Base enables ingesting documents from various sources (PDFs, websites, APIs), indexing them in a vector database, and building accurate RAG agents. Compatibility with all major global LLMs is achieved through a unified interface. Native MCP protocol integration allows Dify to consume external MCP services and publish its own agents as universal MCP servers. The Marketplace offers plugins to extend capabilities. Monitoring includes execution logs, performance metrics, and integrations with advanced observability tools.
Use cases
Dify adapts to many concrete use cases. For enterprises, it enables deploying Q&A bots powered by internal documentation, accessible to thousands of employees. For HR and operations teams, automated workflows manage repetitive processes with estimated annual time savings in the tens of thousands of hours. For product teams, RAG agents analyze customer feedback and generate actionable insights. For developers, Dify serves as backend-as-a-service for AI applications deployed in production. For startups, it accelerates time-to-market by enabling rapid validation of LLM-based MVPs.
Advantages
Dify provides several decisive advantages. The open source nature guarantees freedom from vendor lock-in and enables auditing the entire codebase. Self-hosting offers complete data and infrastructure control, crucial for regulated industries. The combination of no-code + APIs allows all stakeholders — developers and non-developers — to contribute to application building. Support for all global LLMs avoids dependency on a single model provider. The continuously expanding Marketplace ecosystem enriches available capabilities without requiring from-scratch development.
Pricing
Dify offers three pricing tiers for its cloud service. The Sandbox plan is free with 200 message credits, 5 applications, 1 member, and 30 days of logs. The Professional plan at $59/month ($49/month annually) provides 5,000 credits/month, 50 applications, 3 members, 5 GB of Knowledge Base storage, and unlimited log history. The Team plan at $159/month ($132/month annually) scales to 10,000 credits/month, 200 applications, 50 members, and 20 GB of storage. An Enterprise plan with SOC 2 Type II and dedicated support is available on request. Self-hosting remains free without restrictions.
Conclusion
Dify is today the most comprehensive and widely adopted open source platform for creating AI applications and autonomous agents in production. Its unique combination of visual no-code editor, integrated RAG, native MCP support, and compatibility with all LLMs makes it the benchmark choice for any team wanting to industrialize its AI workflows with flexibility and freedom. The free plan allows exploration, and self-hosting offers an unlimited alternative for teams concerned with data sovereignty.