Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
8dd85d98b6* 🐛 (users.py): Fix issue where user password was not being updated correctly 📝 (constants.ts, authContext.tsx, index.tsx): Add LANGFLOW_REFRESH_TOKEN constant and update related code to support refresh token functionality 📝 (userManagementModal/index.tsx): Update form reset logic and handle input values correctly 📝 (LoginPage/index.tsx, LoginAdminPage/index.tsx): Update login function to include refresh token parameter 📝 (components/index.ts, auth.ts): Update inputHandlerEventType to support boolean values ✨ (auto-login-off.spec.ts): Add end-to-end test for user login functionality with auto_login set to false, CRUD operations for users, and verification of user flows visibility based on permissions. * ✨ (auto-login-off.spec.ts): improve test description for better clarity and understanding 📝 (auto-login-off.spec.ts): add comments to clarify the purpose of intercepting requests and performing CRUD operations * 🐛 (users.py): fix comparison of password to check for None using 'is not None' instead of '!= None' for better accuracy |
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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.
⭐ 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.