Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
f9ae9f27f3* 📝 (pageLayout/index.tsx): update beta icon text from "BETA" to "Beta" for consistency and readability * ✨ (custom-parameter.tsx): add support for flex view in custom parameter title to improve UI flexibility and readability * ✨ (NodeInputField/index.tsx): refactor NodeInputField component to pass isFlexView prop to getCustomParameterTitle function for improved customization and flexibility * 📝 (NodeStatus/index.tsx): update text from "BETA" to "Beta" for consistency and readability * ✨ (flowSidebarComponent/index.tsx): Add new components and features to the Flow Sidebar Component to enhance user experience and functionality. Update the structure and logic of the component to improve search functionality, error handling, and component filtering. * ✨ (emptySearchComponent): add a new component NoResultsMessage to display a message when no components are found in the search result. The component includes options to clear the search, filter, and try a different query. * ✨ (featureTogglesComponent/index.tsx): add a new component FeatureToggles to manage feature toggles for Beta and Legacy features in the sidebar of the FlowPage. * 📝 (sidebarDraggableComponent): Update CSS classes for better styling and spacing 💡 (sidebarDraggableComponent): Improve readability by changing font weight of text elements 💡 (sidebarDraggableComponent): Update text content to be more consistent and capitalized * ✨ (index.tsx): Add a new component SidebarFooterButtons to display buttons in the sidebar footer for adding custom components and navigating to the store page. * ✨ (index.tsx): add a new component SidebarItemsList to render a list of items in the sidebar with tooltips and draggable functionality * ✨ (apply-beta-filter.ts): add a new helper function applyBetaFilter to filter out beta items from the given data based on a specific condition * ✨ (apply-edge-filter.ts): introduce a new helper function applyEdgeFilter to filter data based on edge filters for a better user experience. * ✨ (apply-legacy-filter.ts): introduce a new helper function applyLegacyFilter to filter out legacy data from APIDataType object. * ✨ (combined-results.ts): add a new helper function combinedResultsFn to combine Fuse.js search results with API data for each category * ✨ (filtered-data.ts): introduce a new helper function filteredDataFn to merge and return filtered data from different sources for a given category in the FlowPage component. * ✨ (normalize-string.ts): introduce a new helper function normalizeString to convert a string to lowercase, remove underscores, and spaces for better string normalization. * ✨ (ParentDisclosureComponent): Change "BETA" to "Beta" for consistency in text formatting ✨ (search-on-metadata.ts, traditional-search-metadata.ts): Add helper functions for searching in metadata and traditional search metadata to improve search functionality in the flow sidebar component. |
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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.