Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
767a1a68b0* feat: Add NodeIcon component for displaying icons in GenericNode This commit adds a new component called NodeIcon to the GenericNode module. The NodeIcon component is responsible for displaying icons based on the data type of the node. It uses the nodeIconsLucide object from the styleUtils module to map the data type to the corresponding icon name. The component also handles the display of emojis as icons by checking if the icon is an emoji using the emoji-regex library. The icon color is determined based on the data type using the nodeColors object from the styleUtils module. The NodeIcon component is used in the GenericNode component to render the icon of the node. * [autofix.ci] apply automated fixes * feat: Remove useIconNodeRender hook from CustomNodes --------- 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.
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📦 Quickstart
- Install with pip (Python 3.10 or greater):
pip install langflow
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