Flowise
Open-source low-code LLM app builder with visual drag-and-drop workflow design.
Flowise is an open-source, low-code platform for building LLM applications through a visual drag-and-drop interface. It's similar to LangFlow but supports a broader range of LLM frameworks and integrations.
The platform provides a visual canvas where you connect nodes representing LLMs, prompts, tools, memory, vector stores, and output formats. Flowise supports LangChain, LlamaIndex, and custom components, making it more flexible than LangFlow alone.
Flowise includes built-in chat widgets, API endpoints, and embedding capabilities. You can deploy your flows as web apps, embed them in existing sites, or expose them as APIs. The platform is fully self-hostable via Docker.
Key Features: Visual drag-and-drop workflow builder; Support for LangChain and LlamaIndex; Built-in chat widget for web embedding; API endpoint generation; Multiple LLM provider support; Custom component development; Docker deployment; Active open-source community.
Who Should Use It: Developers who prefer visual over code-based development; teams prototyping LLM applications; non-technical users building AI chatbots.
Pricing: Open-source (Apache 2.0). Flowise Cloud: free tier, paid plans start at $59/month.
Pros: More flexible than LangFlow; good chat widget for embedding; active community; self-hostable.
Cons: UI can be overwhelming for simple use cases; some advanced features require coding; less polished than commercial alternatives.
Alternatives: LangFlow (simpler, LangChain-focused), Dify (more complete platform), Botpress (enterprise chatbot).
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