Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
0a631a68c2* ✨ (tests): update tag value from "@starter-project" to "@starter-projects" for consistency across test files. * 📝 (changes-filter.yaml): add new path "src/backend/base/langflow/custom/**" to starter-projects section ♻️ (changes-filter.yaml): remove path "src/backend/base/langflow/components/**" from components section and add it to starter-projects section ♻️ (changes-filter.yaml): add new path "src/backend/base/langflow/custom/**" to components section * 🐛 (component.py): fix a bug where the status was not being returned when there is only one output in the component * 🔧 (ci.yml): Expand path filter outputs for more comprehensive CI testing * fix docstring placement * ✨ (group.spec.ts): update click event modifiers to use "ControlOrMeta" for better cross-platform compatibility * ✨ (changes-filter.yaml): add new directory "src/backend/base/langflow/graph/" to starter-projects for processing in the build pipeline. * 🔄 Refactor graph data structures from sets to lists for performance and compatibility * 🔧 Optimize RunnableVerticesManager predecessor checks and type hints --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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 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.