Hiveflow
Visual workflow orchestration for AI agents and automation
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Build and deploy AI agents visually with low-code workflows
Flowise is a visual builder for creating AI agents and LLM workflows using a drag-and-drop interface. Deploy chatbots, RAG pipelines, and multi-agent systems without extensive coding.
Flowise empowers developers and technical teams to design, prototype, and deploy AI agents through an intuitive visual interface. Built on LangChain, it bridges the gap between complex LLM orchestration and accessible low-code development.
The platform supports chatbot creation, retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems. Its modular architecture includes a Node.js backend, React frontend, and extensible third-party integrations. Teams can chain together LLM providers, vector databases, tools, and custom logic nodes to build sophisticated AI applications.
Flowise runs locally via npm or Docker, and scales to production through self-hosted deployments on AWS, Azure, GCP, Digital Ocean, and other cloud platforms. The managed Flowise Cloud option provides instant hosting. With Apache License 2.0, teams retain full control over their implementations while benefiting from an active open-source community of contributors.
When teams consider Flowise, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Customer Support Chatbot
Deploy a RAG-powered support bot that answers questions from your knowledge base with minimal coding
Document Analysis Pipeline
Chain together document loaders, embeddings, and LLMs to extract insights from unstructured data
Multi-Agent Research Assistant
Orchestrate specialized agents for web search, summarization, and fact-checking in a single workflow
Internal Tool Integration
Connect LLMs to company databases and APIs through visual nodes for custom enterprise automation
Flowise requires Node.js version 18.15.0 or higher. You can run it locally via npm, or use Docker/Docker Compose for containerized deployment.
Yes, Flowise supports self-hosting on AWS, Azure, GCP, Digital Ocean, Alibaba Cloud, Railway, Render, and other platforms. Full deployment guides are available in the documentation.
Self-hosting gives you full control over infrastructure and data, while Flowise Cloud provides managed hosting with instant setup. Choose based on your compliance, customization, and operational needs.
Flowise includes a components module for third-party integrations. Developers can create custom nodes and extend functionality through the mono-repository architecture.
Yes, Flowise is production-ready and supports environment variable configuration, API documentation, and deployment across major cloud providers with Docker support.
Project at a glance
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