Flowise open source analysis
Build AI Agents, Visually
Project overview
⭐ 47855 · TypeScript · Last activity on GitHub: 2025-12-29
Why it matters for engineering teams
Flowise addresses the practical challenge of building and managing AI agents through a visual interface, reducing the complexity typically involved in coding agent workflows from scratch. It is particularly suited for engineering teams focused on integrating AI-driven automation and chatbot solutions, including roles such as AI engineers, software developers, and technical leads. The project is mature enough for production use, offering a reliable and extendable open source tool for engineering teams that require customisable, self hosted options for AI workflows. However, it may not be the best choice for teams seeking lightweight or minimalistic chatbot frameworks, as its feature set and visual approach can introduce additional overhead.
When to use this project
Flowise is a strong choice when your team needs to build complex, multi-agent AI workflows with a visual low-code interface, especially if you require a production ready solution that supports customisation and integration with large language models. Teams should consider alternatives if they need simpler chatbot implementations or prefer fully managed cloud services without the need for self hosting.
Team fit and typical use cases
AI engineers and software developers benefit most from Flowise by visually designing and deploying agentic workflows that power chatbots and automation tools. It is commonly used in products involving conversational AI, workflow automation, and multi-agent systems where custom control over AI behaviour is essential. This self hosted option for AI agent development fits well in teams aiming to maintain full control over their AI infrastructure while leveraging open source tools for engineering teams.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-12-29. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.