Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
5aa87ee41e* 📝 (newChatMessage.tsx): add event listener to handle tab visibility change and update state accordingly 📝 (newChatMessage.tsx): remove event listener when component unmounts to prevent memory leaks * ✨ (use-tab-visibility.tsx): introduce custom hook useTabVisibility to track tab visibility changes in the browser 📝 (newChatMessage.tsx, newChatView.tsx): import and use useTabVisibility hook to handle tab visibility changes and update chat behavior accordingly * 📝 (newChatMessage.tsx): remove duplicate import of useTabVisibility and update import path 📝 (newChatView.tsx): remove duplicate import of useTabVisibility and update import path ✨ (use-tab-visibility.tsx): create a new custom hook to track tab visibility changes in the browser * refactor: Update logic to clear chat value when tab is hidden The code changes in newChatView.tsx refactor the logic for clearing the chat value when the tab is hidden. Previously, the chat value was only cleared when there were no messages and the chat was not locked. Now, the chat value will also be cleared if the tab is hidden. This ensures that the chat input is empty when the user switches tabs. --------- 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.