Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
c26a2d82e8* fix: Improve wait times in regression test Improve the wait times in the regression test to ensure that the necessary elements are loaded before interacting with them. This prevents potential timing issues and improves the reliability of the test. Refactor the test code to use `waitForSelector` instead of `waitForTimeout` to wait for the modal title and sidebar custom component button to appear. Increase the timeout for the sidebar custom component button to 30 seconds to allow for slower loading times. Also, add a comment to indicate that the wait for the animation to propagate is intentional. This commit addresses the issues identified in the regression test and improves the overall stability of the test suite. |
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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 to 3.12):
pip install langflow
- Install with uv (Python 3.10 to 3.12):
uv 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.