Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
1443af2e42* ✨ (Vector Store.spec.ts): Update test to skip if required environment variables are not set and improve test flow for Vector Store RAG test. * ✨ (Vector Store.spec.ts): Update variable name from 'control' to 'Control' for better clarity and consistency 📝 (decisionFlow.spec.ts): Refactor test case to skip if OPENAI_API_KEY is not provided and improve code readability and maintainability by restructuring and commenting out unnecessary code blocks * 📝 (Vector Store.spec.ts): Comment out unnecessary test.skip blocks and unused code to improve code readability and maintainability. * refactor: update test to click on "New Flow" instead of "New Project" * ✨ (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 |
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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.