Flowise
FreeOpen-source visual builder for LLM flows and AI agents
Verified by editorial·Last updated: April 2026·How we rank
Editor's verdict
Flowise is a solid free pick, rated 4.4/5 by 980 users. Best for rapid prototyping of ai chatbots and document q&a applications and building rag pipelines over internal knowledge bases without writing orchestration code. Standout: completely free and open-source with no usage limits when self-hosted. Watch out: self-hosting requires server setup and ongoing maintenance. Fully free with no paid tier.
About Flowise
Flowise is an open-source drag-and-drop tool for building AI workflows and LLM applications. Where tools like LangChain require writing code to compose AI pipelines, Flowise provides a visual canvas where developers can connect components - LLM nodes, vector stores, document loaders, tools, and agents - to create working AI applications through a graphical interface. The resulting flows can be deployed as APIs, integrated into web applications, or used to power chatbots. The tool has a large library of pre-built nodes covering most common AI use cases: RAG over documents, conversational agents, web scraping, database connections, and integration with external APIs. Custom nodes can be added through JavaScript, making it extensible for teams with specific requirements. Flowise is self-hosted and free to use, making it attractive for companies that want to run AI infrastructure on their own servers. A cloud version with managed deployment is available for teams who want to avoid infrastructure work. It is widely used for internal tooling, customer support automation, and rapid prototyping of AI features.
Pros & Cons
Pros
- ✓Completely free and open-source with no usage limits when self-hosted
- ✓Large library of pre-built nodes for the most common LLM workflow patterns
- ✓Flows deploy as APIs that integrate directly into existing web applications
Cons
- ✗Self-hosting requires server setup and ongoing maintenance
- ✗Visual builder can become unwieldy for very complex multi-step agent flows
- ✗Community support only for self-hosted version; commercial support requires paid plan
Best Use Cases
- →Rapid prototyping of AI chatbots and document Q&A applications
- →Building RAG pipelines over internal knowledge bases without writing orchestration code
- →Internal tooling and customer support automation for teams that need self-hosted AI
Categories
Flowise Preview
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Pricing
Pricing verified April 2026. Verify current pricing on the official site before purchase.
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980 aggregate ratings
Aggregate of third-party review platforms (G2, Capterra, Product Hunt) plus editorial testing. How we rank.
Last verified: April 2026
Editorial Scoring
How Flowise scores on our 7-criteria framework
Output Quality
Accuracy, polish, and usefulness of what the tool produces.
Ease of Use
Onboarding friction, UI clarity, time to first useful result.
Pricing Value
Output per dollar at the realistic monthly cost for a typical user.
Feature Depth
Breadth and maturity of capabilities relative to category leaders.
Integrations
Native integrations, API quality, and ecosystem coverage.
Reliability
Uptime, output consistency, and battle-test through scale.
Trajectory
Recent product velocity and momentum vs the category.
Scores are editorial assessments based on hands-on testing and verified user data. They do not reflect affiliate relationships. How we score.
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Flowise on MytheAi
Compared with Flowise (1)
- Flowise vs Dify →tie
Dify and Flowise are both open-source, self-hostable platforms for building LLM-powered applications without writing a full backend. Both use a visual approach to chain models, retrieval systems, and tools into production-ready AI applications. The differences are in depth, polish, and target audience. Dify is the more complete product. It has a managed cloud option, a polished API layer for serving LLM applications at production scale, advanced RAG pipeline configuration, built-in prompt management with version history, and support for 100+ LLM providers and embedding models. For teams building applications they intend to put in front of real users, Dify offers the infrastructure layer that Flowise lacks. Flowise is the simpler and faster tool to get started with. Its drag-and-drop node canvas - based on LangChain abstractions - is easy to understand for developers who know LangChain, and self-hosting via Docker is straightforward. For prototyping, internal tools, and teams that want to experiment with LLM architectures without committing to a production platform, Flowise is fast to iterate with. Both are genuinely good tools. Choose Dify when you are building something that needs to serve external users or requires production-grade reliability. Choose Flowise when you are prototyping or building internal-facing tools where speed of iteration matters more than polish.
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Alternatives to Flowise
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Is Flowise free?▼
Yes, Flowise is completely free to use with no paid tiers.
What is Flowise best for?▼
Flowise is best suited for: Rapid prototyping of AI chatbots and document Q&A applications, Building RAG pipelines over internal knowledge bases without writing orchestration code, Internal tooling and customer support automation for teams that need self-hosted AI.
How does Flowise compare to alternatives?▼
Flowise holds a rating of 4.4/5 from 980 reviews. Browse our comparison pages to see detailed side-by-side breakdowns against similar tools.
Reviewed by
John Ethan
Founder & Editor-in-Chief
Founder of MytheAi. Tracking and reviewing AI and SaaS tools since January 2026. Built MytheAi out of frustration with pay-to-rank listicles and SEO-driven AI directories that prioritize ad revenue over honest guidance. Hands-on testing across 500+ tools to date.
Flowise Review (2026): Is It Worth It?
Flowise is a free tool with a free tier available. It holds a rating of 4.4/5 based on 980 reviews.
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