Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
844efc1f73* 📝 (utils.py): add format_directory_path function to properly escape and format directory paths for consistency and validity * ✨ (test_format_directory_path.py): add unit tests for the format_directory_path function to ensure correct formatting of directory paths 📝 (test_format_directory_path.py): add documentation and examples for different types of directory paths in the unit tests to improve code readability and maintainability * 🐛 (utils.py): fix the incorrect replacement of backslashes with newline characters in the format_directory_path function 📝 (test_rewrite_file_path.py): update test cases and function names to reflect the changes made in the format_directory_path function in utils.py * 🐛 (test_format_directory_path.py): update parameter name from 'path' to 'input_path' for clarity and consistency 📝 (test_format_directory_path.py): improve test case descriptions and handle newline characters in paths correctly |
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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.