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* chore: update Python version requirement and remove deprecated dependencies in pyproject.toml files * Updated Python version requirement to allow up to 3.14 in both main and base pyproject.toml files. * Removed deprecated dependencies: cohere and pyautogen from the main dependencies list. * chore: update Python version requirements and add support for Python 3.13 in uv.lock * Updated the required Python version to allow up to 3.14. * Adjusted resolution markers for Python versions to include 3.13. * Added markers for the 'typing-extensions' dependency to restrict it for Python versions below 3.13. * Included additional wheel files for various packages to support Python 3.13 compatibility. * Update Python version requirements in README files to support Python 3.13 * Update Python version in GitHub Actions workflow to 3.13 * Update Python version in GitHub Actions workflows to include 3.13 * Update installation documentation to support Python 3.13 and clarify troubleshooting steps * revert changes to docs until we release * chore: add ag2 dependency and update uv.lock for Python 3.13 compatibility * Added ag2 version 0.3.2 and 0.5.2 to pyproject.toml and uv.lock with appropriate resolution markers for Python versions. * Included flaml version 2.3.2 in uv.lock to ensure compatibility with the new ag2 dependency. * Updated dependency specifications to support Python 3.13 and above.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ 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.