Is Flowise better than LangFlow for local Llama-3 deployments?

All answers to this question.

I’ve tested both extensively with Llama-3. While LangFlow is great for "bleeding edge" experimentation, Flowise feels much more stable for building actual tools. The marketplace in Flowise has pre-built templates for things like "Local RAG" that work out of the box. Setting up the Ollama node in Flowise is just a matter of putting in your local URL. Also, the "Marketplace" in Flowise is much more mature, offering dozens of real-world use cases that you can just clone and modify.

   Answered 2025-12-10 by Monica Foster

Does Flowise support the new Model Context Protocol (MCP) for connecting local tools?

   Answered 2025-12-15 by Arthur Knight

• It does, Arthur! The latest Flowise updates added native MCP client nodes. This means you can connect your visual flow to any local tool or database that supports MCP, making it a powerhouse for "private" AI agents. The Flowise community was actually one of the first to jump on the MCP integration, which shows how active the development team is in keeping the platform updated with the latest AI standards.

     Commented 2025-12-20 by Victor Malone

I prefer Flowise because the "Tools" system is more intuitive. Creating a custom JavaScript tool is very simple.

   Answered 2025-12-28 by Pamela Boyd

• I agree, Pamela. The ability to drop in a small JS snippet as a "Custom Tool" in Flowise solves so many edge cases that pre-built nodes can't handle.

     Commented 2025-12-30 by Bryan Foster