Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
7264028e41* fixed patch update flow * fixed update flow patch to receive id by payload * created save flow hook with auto save and manual save functions * fix poetry lock * added auto save check with environment variable * removed unused user * separated autosave and put the flow as a creation with nodes and edges * removed set nodes that skipped saving * implemented auto save hook * removed autosave from setNodes and setEdges * added auto save hook and saved on viewport move and added useEffect to save on nodes and edges changed * changed type of setNodes * removed unused var * removed deletion of empty flow * Added saving of flow on button when autoSave is disabled * disable saving when the nodes are empty * removed save loading as false when the access token is renewed * implemented useDebounce * added save loading to save flow hook * removed setting nodes and edges on fetching, since they are set when the current flow is updated * removed unused var * use debounce hook to save flow * set nodes and edges on current flow id change * removed useplaygroundeffect * removed unused import * put set save loading before the If * removed flow cleaning and inputs setting, since the inputs and outputs are set on the ResetFlow function * updated to use ResetFlow function to update everything regarding flow * removed flow pool get on resetFlow, for it to be fetched only if the user is inside the flow * updated packagelock * Changed router to outlet on app.tsx to use createRouter * Created authSettingsGuard to guard the general settings * Fixed routes to use createBrowserRouter to allow the use of useBlocker * Changed index.tsx to use RouterProvider and the router just created * Changed flowStore to have a local flow state * Implemented setting the current flow state when saving the flow * Added the update of current flow when auto saving * changed current flow to use the current flow from Flow Store instead of Flows Manager Store * Changed codeTabsComponent Tweaks check to show if its checked * Removed unused variables * Removed browser router from context wrapper * Removed unused console.log * Changed initialSetup to just run when opening the modal * changed confirmationModal to have destructiveCancel and to only call onCancel if the other buttons were not pressed * Created a SaveChangesModal that confirms if the user wants to save their changes * Get folder by id when folder id changes too * Changed reset flow calls to store whole flow * Added check if user is exiting page to prevent him when there are unsaved changes * Added new types on ConfirmationModalType * Implement save on clicking the save button on the header * added save component shortcut to use save shortcut as save flow * added save component shortcut on shortcutsStore type * changed save shortcut to save component on node toolbar * added save shortcut to header menubar * changed shortcuts name to be compatible with existing ones * changed shortcuts to be backwards compatible * changed save to changes to maintain retrocompatibility * changed save_component to save to maintain retrocompatibility * Changed time difference to unsaved changes * changed the toolbar select item to get the right save shortcut * Changed save flow to use current flow from useFlowStore instead of the previous saved flow * changed changesNotSaved to include flow name and metadata * Added way of saving the flow settings just locally instead of directly to database * Changed shareModal to save flow with hook * removed old auto saving on connect * Removed save functions from flowsManagerStore * refactor: Remove unused imports and state variables in EditFlowSettings component * use current flow not saved one and refactored page to not receive flow * added check of isFlowPage to display the menubar * Added checks to render playground if API key is valid and if Flows exists * Added check to not display X on chat on playground page * Updated flows variable to be undefined by start to prevent things from loading before flows initialize * Implemented log builds parameter to not allow the builds to be logged if user not on flowPage |
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| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
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.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
📦 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.
👋 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.