Flowise

Ai Development Open source

An open-source visual tool for building customized LLM orchestration flows.

Visit Website Browse all tools
Open source Free

About

What is Flowise?

Flowise is an open-source, drag-and-drop UI tool for building customized LLM (Large Language Model) applications and AI agent workflows. Built on top of LangChain, it enables developers to visually chain together LLM models, vector stores, memory, tools, and API integrations into powerful AI pipelines — without writing complex orchestration code. Flowise supports RAG (Retrieval-Augmented Generation), multi-agent workflows, chatbot deployment, and API exposure of AI flows, making it a cornerstone tool for AI developers.

Pros & Cons

Pros

  • Visual drag-and-drop builder for complex LLM chains and agents
  • Built on LangChain — access to the full LangChain ecosystem
  • Supports RAG pipelines with multiple vector store integrations
  • Self-hostable with full data privacy and no per-message costs
  • Expose flows as REST APIs for easy integration into any app
  • Supports OpenAI, Anthropic, Ollama (local models), and many more LLMs
  • Active community with frequent updates and new node types

Cons

  • Requires technical knowledge to self-host and maintain
  • Visual flows can become complex and hard to debug at scale
  • Less polished UI compared to commercial alternatives like Voiceflow
  • Production scaling requires additional infrastructure setup
  • Documentation can lag behind rapid development pace

Use Cases

Building custom AI chatbots with document retrieval (RAG) Creating multi-agent AI workflows for business automation Prototyping LLM applications without writing LangChain code Deploying internal AI assistants with access to company knowledge bases Exposing AI capabilities as APIs to integrate into existing products
Discover more tools

Build smarter
with no-code.

Explore the full library of no-code tools — filtered by category, pricing, and open-source status.

Browse all tools → Submit a tool