Flowise vs Rivet (2026)
Updated March 10, 2026
Overview
Flowise is an open-source drag-and-drop UI for building LLM flows and AI agents. Built on top of LangChain, it lets users visually connect LLMs, prompts, tools, memory, and vector stores into working applications without writing code. Flowise can be self-hosted and is popular with teams that want the power of LangChain with a visual interface.
Rivet is an open-source visual AI programming environment for building AI agent chains.
Key features
Core capabilities each platform advertises.
- Open-source visual LLM workflow builder
- Drag-and-drop node interface
- LangChain integration
- Custom components
- Self-hosted deployment
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Low-code
- Open-source
Cons
- Limited control
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Flowise or Rivet — which should you choose?
Choose Flowise if you wantChoose if you want
- Visual RAG pipeline building
- LLM workflow prototyping
- Custom AI tool creation
- AI application experimentation
- No-code LLM chain building
Choose Rivet if you wantChoose if you want
Compare Flowise and Rivet on your own traffic
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