工具介绍
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Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- **Visual builder interface** to quickly get started and iterate.
- **Source code access** lets you customize any component using Python.
- **Interactive playground** to immediately test and refine your flows with step-by-step control.
- **Multi-agent orchestration** with conversation management and retrieval.
- **Deploy as an API** or export as JSON for Python apps.
- **Deploy as an MCP server** and turn your flows into tools for MCP clients.
- **Observability** with LangSmith, LangFuse and other integrations.
- **Enterprise-ready** security and scalability.
🖥️ Langflow Desktop
Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually.
Available for Windows and macOS.
📥 Download Langflow Desktop
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.14 and uv (recommended package manager).
Install
From a fresh directory, run:
The latest Langflow package is installed.
For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
Langflow is available at http://localhost:7860/.
For configuration options, see the Docker deployment guide.
🛡️ Security
For security information, see our Security Policy.
🚀 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
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❤️ Contributors