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* Updated save flow to only execute when the flow has unsaved changes * Made flowPage call saveFlow immediatly when trying to exit page * Changed save changes modal to automatically exit when saved on autoSave * Changed flowPage to save and exit when autoSave * Remove confirmation button if it does not exist and remove footer if confirmation and cancel does not exist * Changed saveChangesModal to not show buttons when autoSave is on and to set loading as true when autoSave is off and the user saves * Add timer to close modal, so, if saving takes less than 1 second, it waits * Changed type of confirmationModal * Added handling for when it's building and there is unsaved changes * Added success toast when flow finishes saving * refactored confirmationModal * check autoLogin !== undefined before calling things * Fix use save flow to compare the passed flow instead of the current one * Changed style of save changes modal * deleted build in progress modal * Removed build in progress modal, just stopping the build * Fix condition on api * Changed condition to be autoLogin !== undefined
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.