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✨ (dragAndDrop.spec.ts): Update file paths for drag and drop tests to use the correct directory structure 🐛 (generalBugs-shard-12.spec.ts): Adjust mouse movement coordinates to fix drag and drop functionality 🐛 (generalBugs-shard-12.spec.ts): Update drag and drop logic to use hover and click actions for better test accuracy 🐛 (generalBugs-shard-3.spec.ts): Modify adjustScreenView function to include zoom level parameter for better control 🐛 (generalBugs-shard-3.spec.ts): Add missing waitForSelector for fit_view element to ensure visibility before clicking 🐛 (generalBugs-shard-7.spec.ts): Reduce timeout for blank-flow element to improve test speed 🐛 (generalBugs-shard-7.spec.ts): Add waitForSelector for fit_view and zoom_out elements to ensure visibility before interacting with them
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 pip (Python 3.10 to 3.12):
pip install langflow
- Install with uv (Python 3.10 to 3.12):
uv 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.