Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* [LFOSS-74]: new input list UI * [LFOSS-93]: node colors * 📝 (Graph Vector Store RAG.json): Update description of ChatInput class to improve clarity and consistency 📝 (Graph Vector Store RAG.json): Update description of URLComponent class to improve clarity and consistency 📝 (select-items.tsx): Change noteDataType import to NoteDataType for consistency and clarity 📝 (dropdown-menu.tsx): Add RenderIcons component to display keyboard shortcuts for actions 📝 (index.tsx): Change parameter type from React.MouseEvent to KeyboardEvent for removeInput and handleDuplicateInput functions 📝 (use-overlap-shortcuts.tsx): Create custom hook to handle keyboard shortcuts with support for multiple key variations and modifiers * 📝 (backend): Remove unnecessary metadata for URLComponent in multiple files 📝 (frontend): Refactor input components to use listAddLabel instead of metadata in multiple files * ♻️ (NodeInputField/index.tsx): Remove unused 'metadata' variable to clean up the code and improve readability * [autofix.ci] apply automated fixes * merge fix * [autofix.ci] apply automated fixes * fix tests * 🐛 (generalBugs-shard-5.spec.ts): fix incorrect comments numbering connections 💡 (generalBugs-shard-5.spec.ts): add clarifying comments for connection steps in the test case * 🐛 (generalBugs-shard-5.spec.ts): fix filling delimiter in popover-anchor-input to resolve UI bug 📝 (generalBugs-shard-5.spec.ts): update test cases to improve test coverage and accuracy * ✨ (NodeOutputfield/index.tsx): Add top margin to improve spacing of NodeOutputField component 🔧 (generalBugs-shard-5.spec.ts): Remove commented out code related to input filling and waiting for visibility to clean up the test file and improve readability * 🔧 (index.tsx): increase padding-right from 6 to 10 in input-edit-node class to improve spacing for better user experience --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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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.

