Flowise

Flowise is an open-source, low-code tool for visually building LLM applications, chatbots and AI agents through a drag-and-drop interface. It lets you construct sophisticated AI workflows by connecting nodes on a canvas — models, prompts, data sources, memory, tools and logic — turning what would normally require significant coding with frameworks like LangChain into something you can assemble and iterate on visually. This dramatically lowers the barrier to building real AI applications.

The visual approach is Flowise's defining strength. Each capability you need — a language model, a vector store for retrieval, a document loader, a tool the AI can call, conversation memory — is a node you drag onto the canvas and wire together. This makes the structure of your AI app explicit and easy to understand, experiment with and debug, which is a relief compared to tracing logic through code. You can build retrieval-augmented chatbots that answer from your own data, multi-step agents that use tools, and complex conversational flows, then test them right in the interface.

Being open source, Flowise can be self-hosted, giving teams full control over their data and deployment — important for privacy-sensitive or enterprise use — while remaining free to use. It supports a wide range of models and integrations, and lets you expose your finished flows as APIs or embeddable widgets to drop AI into websites and products. This combination of visual building, openness and flexibility has made Flowise popular with developers prototyping AI features, non-specialists who want to build chatbots without deep coding, and teams that need a self-hostable way to ship LLM apps. For anyone who wants to build with LLMs faster and more transparently, Flowise offers an accessible, powerful and genuinely useful visual platform.