Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* ✨ (NodeInputField): Update styling to include padding-bottom when lastInput is true for better UI appearance 📝 (NodeOutputfield): Import TextSearch component from lucide-react library for future use 🔧 (RenderInputParameters): Simplify logic for determining lastInput in NodeInputField component 🔧 (GenericNode): Change icon displayed on HiddenOutputsButton based on showHiddenOutputs state 🔧 (GenericNode): Update tooltip content to include the number of hiddenOutputs when toggling visibility 🔧 (sliderComponent): Remove unnecessary padding-bottom from SliderComponent for better layout 📝 (constants.ts): Update tooltip text for better clarity and consistency with action names * ✨ (NodeOutputfield/index.tsx): Update import statement for IconComponent to include ForwardedIconComponent for better organization and clarity 🐛 (chatInputOutputUser-shard-0.spec.ts, chatInputOutputUser-shard-1.spec.ts): Fix references to 'ScanEye' icon to 'TextSearchIcon' for consistency and accuracy in tests |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.FR.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
| uv.lock | ||
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.

