Dify is where a prompt experiment becomes something a team can operate. Workflows are assembled on a canvas, datasets are indexed and versioned, and every deployment gets an API endpoint with logging and cost tracking attached.
The visual layer is what makes it useful across a company: product and support people can adjust a flow without touching the codebase that consumes it.
Decisive facts
- Visual builder for agent and RAG workflows
- Dataset ingestion, chunking, and retrieval tuning in the UI
- Hundreds of model providers with per-node model selection
- Observability with per-request traces and cost accounting
- Self-hostable with Docker Compose