
Build AI Chatbots Without Coding — Flowise
Build AI chatbots and agents with a drag-and-drop editor — no coding needed, fully self-hosted and free.
Building an AI chatbot normally requires knowing LangChain, writing Python, managing API keys, and deploying a backend. Flowise removes all of that — it's a visual, node-based editor where you drag components onto a canvas, connect them with lines, and get a working AI workflow without writing a single line of code.
The practical applications are broad. Connect a PDF document as a knowledge source, add an OpenAI or Ollama language model node, and you have a chatbot that answers questions about your document. Add a memory node and it remembers the conversation context. Add a web search tool and it can look up real-time information. Each of these additions is a drag-and-drop operation.
Flowise supports dozens of integrations: OpenAI, Anthropic, Azure OpenAI, local Ollama models, Pinecone and Chroma for vector storage, Google Drive and Notion as document sources, Slack and WhatsApp as deployment targets. The agent mode lets you build autonomous AI that can browse the web, run code, query databases, and chain multiple steps together.
Because Flowise is self-hosted, your data stays on your infrastructure. There's no per-message fee, no rate limit imposed by the platform, and no vendor lock-in. Run it locally with a single 'npx flowise start' command, or deploy to a server with Docker.
At 52,000+ GitHub stars, Flowise is among the most adopted open-source AI tools available. Apache-2.0 licensed, actively maintained, free for both personal and commercial use.