langflow-ai/langflow

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.

• 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 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

Requires Python 3.10–3.14 and uv (recommended package manager).

From a fresh directory, run:

uv pip install langflow -U

The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.

Official release packages and tagged source archives disable automatic login by default. Set LANGFLOW_SUPERUSER_PASSWORD before starting Langflow, then sign in with the username langflow (or your configured LANGFLOW_SUPERUSER). Development branches retain automatic login by default. See authentication configuration.

To start Langflow, run:

uv run langflow run

Langflow starts at http://127.0.0.1:7860.

That's it! You're ready to build with Langflow! 🎉

If you've cloned this repository and want to contribute, run this command from the repository root:

make run_cli

For more information, see DEVELOPMENT.md.

Set and export a strong password before starting the container (Bash):

read -rsp "Langflow administrator password: " LANGFLOW_SUPERUSER_PASSWORD; echo
export LANGFLOW_SUPERUSER_PASSWORD
docker run -p 7860:7860 -e LANGFLOW_SUPERUSER_PASSWORD langflowai/langflow:latest

Langflow is available at http://localhost:7860/. Sign in as langflow with the password you entered. Official Docker images require authentication by default. If you already have an auto-login installation, follow the upgrade instructions before switching defaults. For configuration options, see the Docker deployment guide.

For security information, see our Security Policy.

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.

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.