Langflow
Visual framework for building and deploying AI agents and RAG workflows.
- AI & LLM Tools
- Python
- MIT
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 155,530
- Forks
- 10,186
- Open issues
- 257
- Commits, last 12 months
- 2,486
- Last commit
- Oct 6, 2026
- Latest release
- v1.12.4Sep 29, 2026
- Created
- Feb 8, 2023
Data from the GitHub API, refreshed daily.
About Langflow
Visual framework for building and deploying AI agents and RAG workflows. Langflow is open source under the MIT license and written mainly in Python, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 155,530 stars and 10,186 forks on GitHub, with 2,486 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- react-flow
- chatgpt
- large-language-models
- generative-ai
- agents
- multiagent
Repository preview
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What is Langflow?
Langflow is a free, open-source app you can host on your own server, listed in our AI & LLM Tools category. Visual framework for building and deploying AI agents and RAG workflows. The source code lives at github.com/langflow-ai/langflow, where it has 155,530 stars.
Is Langflow free and open source?
Yes. Langflow is open-source software released under the MIT license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run Langflow with Docker?
Yes. Langflow provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to Langflow?
Popular open-source alternatives to Langflow include Ollama, Stable Diffusion WebUI and Open-WebUI.
Is Langflow actively maintained?
The most recent commit to Langflow was on Oct 6, 2026 with 2,486 commits in the past twelve months. The latest release is v1.12.4, published Sep 29, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.