Flowise
Visual drag-and-drop builder for LLM apps — chatbots, RAG pipelines, and agent workflows without code. Open-source and self-hostable.
Overview
Flowise is an open-source visual builder for LLM applications — drag-and-drop nodes to wire together models, vector stores, retrievers, memory, and tools into working AI applications without code. Think LangChain with a UI: it uses the same primitives (chains, agents, tools, RAG pipelines) but exposes them as a visual canvas anyone can understand and modify. Teams use it to build chatbots trained on their documentation, customer support agents, internal research tools, and multi-step AI pipelines. Self-hostable for free, with a cloud option for teams that don't want to manage infrastructure. With 35,000+ GitHub stars, it's one of the most-used open-source LLM builders.
Key Features
- Visual flow editor
- 100+ built-in integrations
- RAG pipeline support
- Agent and tool chaining
- Self-hostable
- API deployment
- • No code required for complex LLM workflows
- • Huge library of pre-built nodes
- • Active open-source community
- • Complex flows can be hard to debug visually
- • Performance tuning requires understanding underlying LangChain