Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
0e1f1a48e2* refactor: improve type checking and initialization in BaseComponent class - Moved UUID import to TYPE_CHECKING for better type hinting without runtime overhead. - Reorganized the initialization of class attributes within the __init__ method for clarity and consistency. - Enhanced the __setattr__ method to handle potential KeyError and AttributeError when checking immutability of _user_id. * refactor: streamline CustomComponent initialization and enhance attribute management - Introduced ClassVar constants for better clarity and organization. - Removed redundant class attributes and restructured instance attribute initialization for improved readability. - Ensured that instance-specific attributes are initialized before calling the parent class's constructor. - Enhanced the overall structure of the CustomComponent class to facilitate future maintenance and development. * refactor: enhance Component initialization and attribute management - Reorganized the __init__ method to initialize instance-specific attributes before calling the parent class constructor. - Introduced new instance attributes for better management of inputs, outputs, and internal state. - Improved clarity by processing input kwargs and ensuring unique ID assignment for components. - Streamlined the setup process for inputs and outputs, enhancing overall structure and maintainability. * test: Add unit tests for ChatInput component to verify attribute independence |
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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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.