Langflow is a powerful tool 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.

• 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 requires Python 3.10 to 3.13 and uv.

1. To install Langflow, run:

uv pip install langflow -U

2. To run Langflow, run:

uv run langflow run

3. Go to the default Langflow URL at https://127.0.0.1:7860.

For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.

Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.

Star Langflow on GitHub to be instantly notified of new releases.

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.