Lovable Template
FlowiseAI/Flowise
FlowiseAI/Flowise· TypeScript
Drag-and-drop visual builder for LLM apps and multi-agent workflows, self-hostable on Node.js.
GitHub stats
- Stars
- 52,385
- Forks
- 24,236
- Watchers
- 355
- Open issues
- 826
meta
- License
- NOASSERTION
- Primary language
- TypeScript
- Last commit
- 2026-04-29
- Stats fetched at
- 2026-04-29
Flowise is an open-source low-code platform for building LLM apps, RAG pipelines, chatbots, and multi-agent systems through a visual node editor. Backed by LangChain and LlamaIndex integrations, it ships as a Node.js/TypeScript app you can run locally via `npx flowise start` or self-host with Docker, then expose flows as REST APIs or embeddable chat widgets. Targets product teams and prototypers who want to wire up agents without writing orchestration code from scratch.
Editor's verdict
Pick Flowise when you need to demo an agent or RAG flow to non-engineers fast, or when a PM wants to tweak prompts without a deploy. The visual graph and built-in chat widget save real time on prototypes. Skip it for production-grade agent systems with complex state, custom tracing, or strict eval needs — you'll outgrow the node abstraction and want raw LangGraph or a code-first framework. Closest alternatives: Langflow (Python), Dify (more SaaS-flavored), n8n (broader automation, less LLM-focused).