Flowise vs Rivet
Detailed side-by-side comparison to help you choose the right tool
Flowise
đĄLow CodeAutomation & Workflows
Open-source no-code AI workflow builder and visual LLM application platform with drag-and-drop interface. Build chatbots, RAG systems, and AI agents using LangChain components, supporting OpenAI, Anthropic, vector databases, and custom integrations for creating sophisticated conversational AI systems.
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FreeRivet
đĄLow CodeVisual AI Development
Rivet: Visual IDE for building, testing, and debugging AI agent workflows using a node-graph interface by Ironclad.
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FreeFeature Comparison
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đĄ Our Take
Choose Rivet if you want a desktop-first IDE with YAML-based graphs that integrate into Git workflows and a TypeScript SDK for embedding in your own application. Choose Flowise if you prefer a browser-based visual builder with a built-in web runtime and faster setup for prototyping LangChain-based flows without a dedicated deployment pipeline.
Flowise - Pros & Cons
Pros
- âVisual builder backed by real LangChain/LlamaIndex code â full framework power without writing boilerplate
- âComprehensive component library covering all major LLM providers, vector stores, and LangChain integrations
- âOne-click API deployment with built-in chat widget for website embedding â fast path from prototype to deployment
- âOpen-source and self-hostable with simple Node.js deployment via npm, Docker, or one-click cloud platforms
- âActive community marketplace with pre-built chatflows for common use cases (RAG, agents, customer support)
Cons
- âRequires understanding LangChain/LlamaIndex concepts â the visual interface doesn't abstract away framework complexity
- âComplex workflows with many conditional branches become visually cluttered and hard to manage on the canvas
- âDebugging node connection issues can be frustrating â error messages from the underlying framework are passed through without simplification
- âCustom component development requires TypeScript knowledge and understanding of Flowise's component architecture
Rivet - Pros & Cons
Pros
- âCompletely free and open-source under MIT license with no seat-based pricing
- âYAML-based graph files enable standard Git version control and code review workflows
- âProduction-validated by Ironclad, Attentive, and Bento â not just a prototyping tool
- âReal-time remote debugger shows live execution inside your deployed application
- âDesktop-first architecture keeps prompts and API keys on your local machine, not a vendor cloud
- âPublic integrations with ecosystem partners like AssemblyAI for audio transcription
Cons
- âDesktop app requirement excludes browser-only or Chromebook development environments
- âSmaller community and plugin library than code-first frameworks like LangChain
- âVisual graphs can become unwieldy when agent workflows grow past dozens of nodes
- âProduction integration requires engineering effort with the TypeScript SDK
- âNo built-in hosted deployment â teams must run the executor in their own infrastructure
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