Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
5a4d4c8bc4* 🔧 (handleRenderComponent/index.tsx): Remove unused getTranslateX function and simplify tooltip positioning logic to improve code readability and maintainability. * ⬆️ (auto-login-off.spec.ts): update tests to include explicit wait times for elements to be visible ⬆️ (userSettings.spec.ts): update tests to include explicit wait times for elements to be visible * ✅ (userSettings.spec.ts): update test to interact with global variables by clicking on checkbox and deleting an item to ensure proper functionality * ✨ (store-shard-2.spec.ts): Refactor test to use a reusable function for clicking elements and waiting for visibility to improve code readability and maintainability 🔧 (deleteFlows.spec.ts): Refactor test to use separate functions for waiting for and interacting with elements to improve code readability and maintainability * 🐛 (store-shard-2.spec.ts): fix incorrect text comparison for filtering by tag in tests to match the actual text displayed on the page * ✅ (store-shard-2.spec.ts): mark the test as skipped to prevent it from running due to missing STORE_API_KEY environment variable * ✅ (deleteFlows.spec.ts): skip the test case "should delete a flow" to prevent it from running due to missing STORE_API_KEY environment variable * ✅ (store-shard-3.spec.ts): skip tests that require STORE_API_KEY environment variable to run, as it is not available in the test environment |
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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.