langflow

langflow

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

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Langflow is an open-source Python-powered visual framework designed for building multi-agent and RAG applications. It is fully customizable, language model agnostic, and vector store agnostic. Users can easily create flows by dragging components onto the canvas, connect them, and export the flow as a JSON file. Langflow also provides a command-line interface (CLI) for easy management and configuration, allowing users to customize the behavior of Langflow for development or specialized deployment scenarios. The tool can be deployed on various platforms such as Google Cloud Platform, Railway, and Render. Contributors are welcome to enhance the project on GitHub by following the contributing guidelines.

README:

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[!CAUTION]

  • Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
  • Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760

For security information, see our Security Policy and Security Advisories.

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.

✨ 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.

⚡️ Quickstart

Langflow requires Python 3.10 to 3.13 and uv.

  1. To install Langflow, run:
uv pip install langflow -U
  1. To run Langflow, run:
uv run langflow run
  1. Go to the default Langflow URL at http://127.0.0.1:7860.

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

📦 Deployment

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.

⭐ Stay up-to-date

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

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👋 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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