mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-23 20:49:48 +08:00
8a7d7ef62f
* fix note node size * ♻️ (NoteNode/index.tsx): remove commented out code for debounced resize handler to improve code readability and maintainability * feat: update NoteNode to resize and persist dimensions in state * 🐛 (generalBugs-shard-10.spec.ts): fix clicking on the last element with the text "openai" instead of the first one to match the intended behavior ✨ (generalBugs-shard-10.spec.ts): refactor test to use forEach loop for better readability and accuracy in comparing text contents * 🐛 (general-bugs-save-changes-on-node.spec.ts): add 500ms delay to fix flakiness in tests related to clicking elements and waiting for selectors to appear * ✨ (appHeaderComponent/index.tsx): add data-testid attribute to app header for testing purposes 📝 (general-bugs-save-changes-on-node.spec.ts): update verifyTextareaValue function to accept an additional parameter flowName for better test coverage and clarity 📝 (general-bugs-save-changes-on-node.spec.ts): add functionality to input and fill a random flow name in the test scenario for improved test coverage and reliability --------- Co-authored-by: anovazzi1 <otavio2204@gmail.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.