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Langflow is a low-code app builder for RAG (retrieval augmented generation) and multi-agent AI applications. It’s Python-based and agnostic to any model, API, data source or database.
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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 - get started in minutes with no setup.
- Publish workflows as back-end APIs or export as a Python application.
- Real time observability with LangSmith, LangFuse, or LangWatch integration.
- Support enterprise security and scale with free DataStax Langflow cloud service.
- Prebuilt ecosystem integrations to any model, API or database.
Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
📦 Quick Start
- Install Langflow with pip (Python version 3.10 or greater):
python -m pip install langflow -U
- 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.
👋 Contribute
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
🌟 Contributors
📄 License
Langflow is released under the MIT License. See the LICENSE file for details.