Dify

Dify is an open-source LLM application development platform that combines a visual workflow builder, RAG pipeline, agent capabilities, and model management in one package. It's essentially an open-source alternative to tools like Coze and LangSmith, but self-hostable.

The platform provides a drag-and-drop interface for building AI applications. You can create chatbots, text generation apps, RAG Q&A systems, and AI agents — all without writing code. The workflow editor lets you chain together LLM calls, knowledge retrieval, code execution, and conditional logic in a visual canvas.

Dify supports multiple LLM providers (OpenAI, Anthropic, Azure, Ollama, Hugging Face, Replicate) and vector databases (Weaviate, Qdrant, Milvus, Pinecone). It includes built-in RAG with document parsing, chunking, and embedding. The agent mode supports tool-use and multi-step reasoning.

Key Features: Visual workflow builder for AI applications; Built-in RAG pipeline with document management; Multi-LLM provider support (10+ providers); Agent mode with tool-use capabilities; API endpoint generation for deployed apps; Conversation logging and analytics; Self-hostable (Docker deployment); Open-source with active community.

Who Should Use It: Developers who want to self-host AI applications; teams needing a visual AI development platform; organizations with data privacy requirements (self-hosting).

Pricing: Open-source (Apache 2.0). Dify Cloud has a free tier, paid plans start at $59/month. Self-hosted is free.

Pros: Full control with self-hosting; excellent visual workflow builder; supports multiple LLM providers; active open-source community.

Cons: UI can be complex for simple use cases; self-hosting requires infrastructure; some features still maturing.

Alternatives: Coze (more polished, less control), LangFlow (visual LangChain builder), Flowise (open-source low-code LLM platform).

Visit Dify website →

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