Flowise AI
FlowiseAI / flowiseai.com
Open source drag-and-drop visual tool for building LLM-powered chatbots, agents, and RAG pipelines without writing code, with 29,000+ GitHub stars and strong community adoption.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
3
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
3
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What is Flowise AI?
Flowise is an open source no-code tool for building LLM-powered applications by dragging and connecting components in a visual canvas. The visual canvas shows each component as a node — PDF loaders, text splitters, embedding models, vector stores, language models — which connecting together creates complete AI applications. Built on LangChain, Flowise provides LangChain's full component library through a visual interface. An embeddable chat widget allows deploying customer-facing chatbots without frontend development. With 29,000+ GitHub stars, Flowise is one of the most widely adopted open source LLM builder tools.
How Flowise AI works
Flowise AI runs as llm application framework software built around text and document workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, docker, and self-hosted, with API access for teams that want to embed it into their own products.
Watch Flowise AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Flowise AI.
Visual LLM pipeline builder
Drag-and-drop canvas for connecting AI components visually to create RAG chatbots, AI agents, and LLM pipelines without coding.
Embeddable chat widget
Deploy AI chatbots to any website by embedding the Flowise-generated chat widget without frontend development.
LangChain component library
Access LangChain's full component ecosystem through Flowise's visual interface without writing LangChain code directly.
Best use cases
Who should use it
Pros
- No-code visual builder makes LLM app development accessible to non-coders
- 29,000+ GitHub stars reflect strong community adoption
- Full LangChain component library available through visual interface
- Embeddable chat widget allows immediate customer-facing deployment
Cons
- Visual builder can become complex for sophisticated agent workflows
- LangChain dependency inherits LangChain's complexity
- Self-hosted requires infrastructure setup knowledge for production deployment
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Is it worth the price?
Open source self-hosted free. Flowise Cloud from $35/month for hosted deployment.
Model
Open Source
Starting price
Free
Free trial
No
Tools like Flowise AI
LangGraph and LangChain require coding. Dify.ai is a competitor with a similar visual builder approach. n8n provides broader workflow automation with AI integrations. Stack AI is a commercial alternative.
Flowise AI vs Voiceflow
A side-by-side look at the closest alternative in this category.
Flowise AI
FlowiseAI
Voiceflow
Voiceflow
Open source self-hosted free. Flowise Cloud from $35/month for hosted deployment.
Free plan (2 editors, unlimited viewers). Sandbox $50/month. Pro $125/month. Enterprise custom.
Open source self-hosted provides complete data control. Flowise Cloud: review data handling policy.
SOC 2 Type II. GDPR compliant. Enterprise includes SSO and data handling agreements.
Self-hosted Flowise provides complete data control. Flowise Cloud processes workflow data on Flowise's infrastructure.
Review Voiceflow's data handling policy. Conversation data and knowledge base content processed on Voiceflow's servers.
- No-code visual builder makes LLM app development accessible to non-coders
- 29,000+ GitHub stars reflect strong community adoption
- Full LangChain component library available through visual interface
- Embeddable chat widget allows immediate customer-facing deployment
- Design-first approach reduces gap between product vision and developer implementation
- Collaboration features allow product, design, and engineering to work together
- Knowledge base RAG integration adds generative flexibility to structured dialogue
- Used by major enterprises including IKEA, JP Morgan, and Volvo
- Visual builder can become complex for sophisticated agent workflows
- LangChain dependency inherits LangChain's complexity
- Self-hosted requires infrastructure setup knowledge for production deployment
- Enterprise features require Pro or Enterprise plan
- Visual canvas can become complex for sophisticated agent workflows
- Developer-first teams may prefer LangGraph or direct SDK approaches
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Anthropic, Ollama, Agnostic
Platforms
Web, Docker, Self-hosted
Deployment
Open Source, SaaS (Flowise Cloud)
Integrations
LangChain, OpenAI, Anthropic, Pinecone, Weaviate, Chroma, Ollama, All major LLM providers
Team Collaboration
No
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
Open source self-hosted provides complete data control. Flowise Cloud: review data handling policy.
Self-hosted Flowise provides complete data control. Flowise Cloud processes workflow data on Flowise's infrastructure.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Flowise AI
Editorial Verdict
Should you use Flowise AI?
Flowise is the best no-code visual builder for teams who want to build and deploy LLM applications rapidly without writing extensive code.
Last verified July 24, 2026.