flowiseai/flowise

Flowise is an open-source tool that lets you build AI-powered applications and autonomous agents through a visual, drag-and-drop interface instead of writing code. The problem it solves is the complexity of wiring together AI models, data sources, memory systems, and external tools, tasks that normally require significant programming knowledge and familiarity with AI frameworks. In Flowise, you work on a canvas where each component, an AI language model, a database connection, a web search tool, a memory store, is a visual node. You connect these nodes together with lines to define the flow of information, and Flowise runs the resulting pipeline as a working application. For example, you could drag in a PDF file node, connect it to a text-splitting node, feed that into a vector database node for storage, and then connect a chatbot node that queries the database and answers questions about your PDF, all without writing a line of code. The system integrates with a wide range of AI services and tools through its components layer, and can be deployed as a self-hosted server on your own infrastructure (AWS, Azure, DigitalOcean, and others are all supported) or used through Flowise Cloud, the hosted version. You would use Flowise when you want to prototype or build AI workflows, chatbots, or agents quickly, especially if you are not a developer or want to move faster than building from scratch. It is popular for building document Q&A systems, customer support chatbots, and multi-step AI automation pipelines. The tech stack is TypeScript and Node.js on the backend, React on the frontend, deployed as a monorepo managed with pnpm. It can also be run locally or in Docker containers.