Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
01c1d47ff5* 📝 (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 * reducing to smaller components * 📝 (frontend): remove unused imports and clean up code in various files to improve code readability and maintainability * 📝 (editMessage/index.tsx): Rename EditMessage component to MarkdownField for better clarity and consistency 📝 (newChatMessage.tsx): Replace EditMessage component with MarkdownField component for rendering chat messages with markdown support 📝 (newChatView.tsx): Add conditional rendering to display a message when no chat messages are fetched ✨ (chatViewWrapper/index.tsx): Add messageFetched prop to ChatView component to handle messages fetching status and improve component functionality. * prompt viedw * Refactor chat view component and remove unused prop * [autofix.ci] apply automated fixes --------- Co-authored-by: anovazzi1 <otavio2204@gmail.com> 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.