Flowise

Flowise turns LLM application development into a drag-and-drop exercise: chatbots, RAG pipelines, and multi-step agents are assembled visually on a canvas from nodes wrapping LangChain and LlamaIndex components, then exposed as REST API endpoints or embedded chat widgets. The platform is a Node.js monorepo pairing an Express-based API server with a React frontend, plus auto-generated Swagger documentation and a library of integration nodes covering major model providers, vector stores, and tools. Requiring Node.js 20 or later, it self-hosts through Docker or on AWS, Azure, GCP, and PaaS providers like Railway and Render, and a managed Flowise Cloud is also offered. The core is released under the Apache 2.0 license. Its users range from developers who want to prototype agent workflows quickly to non-technical builders and enterprises that prefer LLM orchestration with a visual audit trail rather than custom code.