Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* ✨ (create-file-upload.ts): Refactor createFileUpload function to improve readability and maintainability. Move input element creation and event listeners to separate functions for better separation of concerns. Use module-level variables for input element and promise resolver to handle cleanup and resolution more effectively. * ✨ (create-file-upload.ts): refactor createFileUpload function to improve code readability and maintainability. Remove unnecessary module-level variables and simplify the logic for handling file uploads. * 📝 (create-file-upload.ts): refactor createFileUpload function to improve code readability and maintainability 🐛 (create-file-upload.ts): fix issue with resolving promise multiple times and improve file input handling * 🔧 (create-file-upload.ts): refactor createFileUpload function to improve file upload process and cleanup event listeners for better performance and code readability * 📝 (index.tsx): Remove unused useRef import and fileInputRef variable ♻️ (index.tsx): Refactor checkFileType function to use a for loop for better readability and performance ✨ (index.tsx): Introduce createFileUpload helper function to handle file selection and validation 📝 (index.tsx): Update handleButtonClick function to use createFileUpload helper function and improve file handling logic 📝 (index.tsx): Update handleButtonClick function to handle file upload and error messages more efficiently 📝 (index.tsx): Update input element to display file name and handle file selection more effectively * add error handling in case document.body.removeChild Fails --------- Co-authored-by: anovazzi1 <otavio2204@gmail.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.

