Dify vs Flowise (2026): full AI app platform or visual LLM builder?
Dify and Flowise both let you build AI apps without starting from scratch, and both are open source. Dify is the fuller platform: visual workflows, retrieval over your documents, prompt management, app publishing and team features in one place. Flowise is the visual builder: a drag-and-drop canvas for connecting models, vector stores, tools and memory into chatflows and agentflows. This is the honest head-to-head.
| Dify | Flowise | |
|---|---|---|
| Free tier | Yes — free and open source for self-hosting; cloud free tier | Yes — free and open source for self-hosting; cloud free tier |
| Paid tier | Cloud plans raise usage limits and add team features | Cloud plans raise usage and add team features |
| Best for | Teams building production AI apps with RAG and workflows | Developers prototyping LLM apps and agents visually |
| Standout strength | A complete platform: workflows, RAG, prompts and publishing together | A clean canvas for LangChain-based flows, deployed as APIs or chat widgets |
| Watch out for | More surface area to learn than a single-purpose builder | Complex flows get messy at scale and need documenting and testing |
Dify’s edge is completeness. When the goal is a shipped product — chatbot, agent or text-generation app — having RAG, workflows and publishing in one platform saves integration work.
Flowise’s edge is focus. When the goal is to prototype a flow quickly, or to build on LangChain primitives directly, its canvas gets out of the way faster.
Sources: official pricing pages and 2026 comparison coverage. Dify listing · Flowise listing