Dify
Free tierBuild, deploy, and manage autonomous AI agents and RAG pipelines — effortlessly at any scale.
Free tier available·All audiences·Powered by Multi-model (OpenAI, Anthropic, open-source, and more)·API available·Open source
Key strengths
Visual drag-and-drop agentic workflow builderNative RAG pipeline support with vector DB indexingMulti-LLM support — switch and compare any global modelMCP (Model Context Protocol) native integrationProduction-ready with enterprise-grade security and scalability
Free tier + paid plans
San Francisco, USA
Founded 2023
Self-hostable
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Developer Documentation
Dify is fully open-source (GitHub) and offers a rich developer experience for building production-grade AI systems.
- Self-hosting: Deploy via Docker Compose. The repo includes full setup instructions for local and cloud environments.
- REST API: Every Dify application exposes a fully documented REST API, enabling programmatic interaction, workflow triggering, and integration into existing services.
- MCP Integration: Dify supports native HTTP-based MCP services (protocol 2025-03-26) in both pre-authorized and auth-free modes — connect external APIs, databases, and tools via standardized MCP protocols.
- MCP Server Publishing: Export any Dify workflow or agent as a universal MCP server, making it accessible to any MCP-compatible client.
- RAG Pipeline: Ingest data from diverse sources, apply transformation and chunking strategies, and index into vector databases for semantic retrieval at inference time.
- Plugin/Tool Ecosystem: Extend agents with plugins from the Dify Marketplace or build custom tools to expand capabilities.
- LLM Provider Support: Switch between and benchmark OpenAI, Anthropic, Mistral, open-source models, and other global LLM providers via a unified interface.
- Observability: Built-in logging, tracing, and performance monitoring to track agent behavior and LLM output quality in production.