Flowise is a low-code platform that enables developers to build AI agents and workflows visually without writing code.
The tool addresses the complexity of assembling AI systems by providing a drag-and-drop interface for connecting language models, data sources, and processing nodes. Users construct agentic workflows by visually linking components that handle tasks like retrieval-augmented generation, multi-agent coordination, and chatbot logic. The platform integrates with LangChain and supports connections to major language model providers including OpenAI and ChatGPT.
Flowise suits teams building conversational AI, automation workflows, or agent-based systems who want to iterate quickly without managing boilerplate integration code. It works well for prototyping and production deployments where visual workflow design reduces development friction. The tool is self-hostable, allowing deployment within existing infrastructure, and also available as a managed cloud service. The README does not compare Flowise to alternative platforms.
The project is a monorepo written in TypeScript comprising a Node backend serving API logic, a React frontend, third-party node integrations, and auto-generated API documentation. Development setup requires PNPM and Node.js, with Docker Compose support for containerized deployment. The codebase supports both production builds and hot-reloading development environments. The project has been archived, with discussion of its future direction available in the repository.
