Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
3ddd123b66* ✨ (frontend_node/base.py): add metadata attribute to store additional information for the component node * ✨ (constants.py): add 'metadata' attribute to NODE_FORMAT_ATTRIBUTES list to include additional metadata information for nodes in the application. * 📝 (attributes.py): add new function getattr_return_dict to return a dictionary if the value is of type dict, otherwise return an empty dictionary. Update ATTR_FUNC_MAPPING to include the new function for the "metadata" attribute. * update basic examples * 📝 (extraSidebarComponent/index.tsx): refactor handleSearchInput function to improve code readability and maintainability 🐛 (extraSidebarComponent/index.tsx): fix searchInMetadata function to correctly handle nested objects in metadata for search functionality * 📝 (component.py): add _metadata attribute to CONFIG_ATTRIBUTES list to include it in the configuration attributes |
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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.