Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
0964190579* Update starter flows * Update button with new menu variants * Updated AstraDB icon * Made header be optional on baseModal and added classname to content * Removed old newFlowModal * added a Nav component to show the sidebar categories * Created new templates modal * Updated components and modals to use new Templates modal * Added used icons * added template card * changed templates modal to use modular components * Add template content * Add get started content * added other size for templates * Added size in base modal * Changed menu ring-0 to be important * Added all of the images of get started * Fix hover effect on spirals * Implement clicking get started templates * Fix shiny design * update package lock * update examples * updated card design * Added grid of examples to templates * Implemented card click * Changed hover effect * Added arrows * delete unused * implemented fuse search * Added create blank project * Made tags be read * Added tags to basic prompting * Added types * Added tags to the tabs * remove important from tailwind config * updated setup and model to include icon * added random-gradient npm package * updated colors to remove white * added icons * inserted metadata of icons and etc into starter flows * Removed integrations and added blank project creation * Added gradient to cards * Reset query when changing tab, reset scroll when typing * added mix blend overlay to text * Added id and gradient to templatecard type * made icons for components still work * added important on stroke * formatting * Fixed infinite render * added test id to create blank project * added data test id for templates title * ✨ (navComponent/index.tsx): add data-testid attribute with converted test name for side navigation options to improve testability and accessibility * ✨ (starter-projects.spec.ts): add test to ensure user can interact with starter projects in the frontend application * ✨ (TemplateCardComponent/index.tsx): add data-testid attribute with converted test name for better testability and accessibility * ✨ (TemplateCategoryComponent/index.tsx): import convertTestName function to convert test names for data-testid attributes in TemplateCategoryComponent * fixed currentTab not changing results * Fixed various tests * ✨ (similarity.spec.ts): improve user experience by adding functionality to fit view and scroll using mouse wheel in the test suite * Fix other tests relying on multiple * fix two edges test * Fix hover on test 3 of generalBugs --------- Co-authored-by: cristhianzl <cristhian.lousa@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 pip (Python 3.10 or greater):
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.