Overview: Flowise is a visual platform for composing AI agents and LLM workflows from connected nodes. It can be run from an npm package or with Docker.
What beginners can do: A beginner can connect an input, prompt, model, and output, test the flow in the browser, and later add retrieval, memory, tools, or agent components.
Recommended start: The current quick start requires Node.js 20 or newer and installs Flowise globally with npm. Docker Compose is another option. Build one flow with one provider before importing community templates.
Requirements and cost: A supported model endpoint and its credentials are needed. Source development additionally uses pnpm and can require more Node.js heap memory during builds.
Who it suits: Useful for beginners who understand basic API concepts and want to see how prompts, models, memory, retrieval, and tools connect.
Limits and safety: A graph that runs once is not automatically production-ready. Error handling, evaluation, versioning, concurrency, cost, and secret rotation still need deliberate design. Do not paste provider secrets into ordinary text nodes or exported workflow JSON. Add access control before remote use and review imported nodes or templates as third-party code.
Project and license: Repository content is provided under Apache-2.0; check the current LICENSE before reuse. Repository: https://github.com/FlowiseAI/Flowise