Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
466a18c744* fix: enhance dropdown component with refresh button and clean up parameter render logic - Added a refresh button to the dropdown component, improving user interaction. - Refactored parameter render component to remove unnecessary wrapping around the render function. - Updated package-lock.json to remove extraneous dependencies. * [autofix.ci] apply automated fixes * refactor(OutputComponent): replace DropdownMenu with Popover and Command components - Updated OutputComponent to use Popover and Command components for improved UI interaction. - Refactored dropdown logic to enhance accessibility and user experience. - Added a reference for the button to manage focus visibility. * refactor: update Memory Chatbot configuration and remove unused RefreshParameterComponent - Changed display names and output methods in Memory Chatbot JSON configuration for clarity and consistency. - Introduced a new output method for retrieving messages as text. - Removed the RefreshParameterComponent and its references from the parameter render component to streamline the codebase. * refactor: update dropdown component layout for improved styling - Changed the layout classes in the dropdown component to enhance responsiveness and visual consistency. - Adjusted flex properties to ensure proper alignment and spacing based on the presence of filtered metadata. * refactor: streamline dropdown component structure and enhance button functionality - Removed redundant rendering functions for refresh and custom option dialogs, integrating them directly into the dropdown's main structure. - Improved layout and styling for better responsiveness and visual consistency. - Adjusted class names for better alignment and spacing, particularly in relation to filtered metadata. - Ensured the refresh button is consistently displayed based on dialog input conditions. * refactor: enhance dropdown component styling for better readability - Updated text size in dropdown options for improved visibility. - Increased padding in command items for better touch targets and visual consistency. * refactor: adjust dropdown component styling for improved usability - Reduced padding in the search input for a more compact design. - Updated text size in the search input for better readability. - Enhanced layout of filtered metadata display for clearer visibility. * refactor: enhance dropdown component rendering and styling - Added console log for filtered metadata to assist in debugging. - Adjusted class names in dropdown options for better responsiveness based on filtered metadata length. * feat: add data-testid attributes for refresh buttons and simplify memoization in ParameterRenderComponent - Added data-testid attributes to refresh buttons in Dropdown component for improved testability. - Removed unnecessary useMemo in ParameterRenderComponent to streamline rendering logic. - Introduced a new test for the refresh dropdown list functionality to ensure proper behavior. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.