Flowise
Open-source low-code platform to build LLM apps and AI agents visually with drag-and-drop chatflows and agentflows
Freemium
About Flowise
Flowise is an open-source low-code platform for building LLM apps and AI agents on a drag-and-drop canvas instead of wiring code by hand. You assemble Chatflows for conversational apps and Agentflows for multi-agent systems, connect 100-plus models and vector stores, and wire up RAG over your own documents. Finished flows ship as an API or an embeddable chat widget, and you can self-host it for free via npm or Docker or run it on the managed Flowise Cloud. It is released under the Apache 2.0 license.
Key Features
- Drag-and-drop canvas for Chatflows and multi-agent Agentflows
- Connects 100-plus LLMs, embeddings, and vector stores across many providers
- Built-in RAG over TXT, PDF, DOC, CSV, and SQL sources
- Human-in-the-loop steps for review and approval inside a flow
- Deploy any flow as a REST API or an embeddable chat widget
- Self-host free via npm or Docker, or use managed Flowise Cloud
Pros & Cons
What we like
- Genuinely open source under Apache 2.0, so self-hosting is free
- Visual builder lets non-experts ship working LLM apps fast
- Broad model and vector-store support avoids lock-in to one vendor
- Large active community with 50k-plus GitHub stars and frequent releases
Room for improvement
- Self-hosting still needs your own model API keys and ongoing maintenance
- Cloud free tier is capped at 2 flows and 100 predictions a month
- Overage pricing past plan limits is not published, so costs are hard to predict
- Complex agent flows can get tangled and tricky to debug on the canvas
Frequently Asked Questions
What is Flowise?
Flowise is an open-source, low-code tool for building AI agents and LLM workflows visually by dragging and connecting nodes. Built on top of LangChain, it ships ready-made templates and conversational agents with memory, letting you assemble chatbots and automations in minutes and deploy them via API.
Is Flowise free or open source?
Flowise is open source and free to self-host, so you can run the code yourself and pay only for infrastructure and model tokens. There is also a managed cloud option starting around 35 dollars per month as of 2026, with a free cloud tier limited to a couple of flows and a monthly prediction cap.
Who is Flowise best for?
Flowise fits developers and technical builders who want a visual layer over LangChain without writing all the orchestration by hand. It is popular for prototyping RAG chatbots and agent flows quickly, then self-hosting the result. Less technical users may prefer a fully managed no-code platform instead.
How does Flowise compare to LangChain?
Flowise is essentially a visual front end built on LangChain. LangChain gives you full programmatic control in code, while Flowise lets you wire the same building blocks on a canvas with far less coding. Teams often prototype in Flowise, then move to raw LangChain when they need deeper customization.
Best For
Building AI chatbots and virtual assistants grounded in company docsPrototyping agentic workflows that call tools and APIsStanding up RAG search over PDFs, spreadsheets, and knowledge basesSelf-hosting a private LLM app stack to keep data in your own infrastructure
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