Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
1883710dd1* refactor(input_mixin.py): update typing annotations for variables to use union types for better clarity and compatibility with Python 3.10 refactor(inputs.py): update typing annotations for variables to use union types and import necessary modules for compatibility with Python 3.10 * refactor(base.py): remove unnecessary imports and update typing for fields in Input and Output classes feat(base.py): add support for specifying field types more explicitly in Input and Output classes feat(frontend_node/base.py): enhance typing and field definitions in FrontendNode class feat(frontend_node/custom_components.py): improve typing and field definitions in CustomComponentFrontendNode and ComponentFrontendNode classes feat(template/base.py): update typing for fields in Template class and remove unnecessary imports * refactor(inputs): remove unnecessary Optional import from typing in input_mixin.py and inputs.py files to improve code readability and maintainability * refactor(schema.py): change 'Type' to 'type' for consistency in type annotations refactor(schema.py): change 'list' to 'List' and 'Literal' to 'literal' for correct type hinting in create_input_schema function * test: fix tests --------- Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com> |
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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 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.