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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https://github.com/user-attachments/assets/a1a36011-6169-4804-87ad-cfd4c5a79872

Core features

1. Python-based and agnostic to models, APIs, data sources, or databases.
2. Visual IDE for drag-and-drop building and testing of workflows.
3. Playground to immediately test and iterate workflows with step-by-step control.
4. Multi-agent orchestration and conversation management and retrieval.
5. Free cloud service - get started in minutes with no setup.
6. Publish workflows as back-end APIs or export as a Python application.
7. Real time observability with LangSmith, LangFuse, or LangWatch integration.
8. Support enterprise security and scale with free DataStax Langflow cloud service.
9. Prebuilt ecosystem integrations to any model, API or database.

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📦 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.

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🌟 Contributors

📄 License

Langflow is released under the MIT License. See the LICENSE file for details.