Flowise vs Glue (2026)
Updated March 27, 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.
Open-source infinite design canvas where coding agents visually create and iterate on UI components, then export production-ready code.
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
- Infinite design canvas
- Agent-driven UI creation
- Production code export
- Claude Code & Codex integration
- Open source
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Low-code
- Open-source
Cons
- Limited control
Pros
- Novel approach as the first design tool built with AI agents as the primary user
- Open source with zero-cost adoption and zero production impact (devDependencies only)
- Visual annotation workflow provides higher fidelity than text prompting for UI changes
- Strong founder backgrounds from Amazon, Microsoft Copilot Studio, and Meta
- Non-destructive integration that works with existing React projects without modification
Cons
- Very limited framework support — currently only Next.js 14+ and Vite 5+ React projects
- Only Claude Code handoff works today — Codex and Gemini support coming soon
- Extremely early stage with 2-person team and unclear monetization path
- Annotation-based workflow may not scale for large redesigns requiring many UI changes
Flowise or Glue — 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 Glue if you wantChoose if you want
- UI component design
- Visual prototyping with agents
- Design-to-code workflow
- Agent-assisted interface building
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