Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
977ba926c6* ✨ (NodeDescription/index.tsx): Memoize Markdown component and description rendering for performance optimization ♻️ (NodeOutputfield/index.tsx): Memoize HandleRenderComponent and Handle instance with useMemo and memo for performance optimization ✨ (RenderInputParameters/index.tsx): Add new component RenderInputParameters to render input parameters with memoization for improved performance 📝 (GenericNode/index.tsx): Remove unused imports and functions, refactor sortToolModeFields to be exported, and optimize key generation and memoization for NodeOutputField component 📝 (flowSidebarComponent/index.tsx): Refactor event handlers to use useCallback for better performance 📝 (nodeToolbarComponent/index.tsx): Refactor event handlers to use useCallback for better performance and readability * ♻️ (NodeDescription/index.tsx): Remove unnecessary comments and improve code readability by removing redundant comments ♻️ (NodeOutputfield/index.tsx): Remove unnecessary comments and improve code readability by removing redundant comments ♻️ (RenderInputParameters/index.tsx): Remove unnecessary comments and improve code readability by removing redundant comments ♻️ (index.tsx): Remove unnecessary comments and improve code readability by removing redundant comments * ✅ (decisionFlow.spec.ts): add @workflow tag to the test case for better categorization and organization. * 📝 (GenericNode/index.tsx): Organize imports and update component import for better code structure and readability 📝 (GenericNode/index.tsx): Refactor renderOutputs function to improve code readability and maintainability 📝 (GenericNode/index.tsx): Refactor renderOutputParameter function to use OutputParameter component for consistency 📝 (GenericNode/index.tsx): Refactor output rendering logic to use OutputParameter component for better code structure 📝 (sidebarDraggableComponent/index.tsx): Update logic to remove cursor element only if it exists to prevent errors * ✨ (NodeOutputParameter/index.tsx): Add a new component for rendering output parameters in the frontend to improve modularity and reusability. |
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| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
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| README.ja.md | ||
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| README.md | ||
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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.