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c1097d2dde7e97517cefe3907effa490ada60d02
* bash -x * bash verbose * combine bash calls in uv run * combined python script * relative dir * pass args correctly * pass args correctly * function name * fix arg order * merge base and main * remove nightly -ep docker image for now * set up uv in the get-version job in docker-build.yml * v prefix for version in build job * use inputs.nightly_tag_main for checkout actions * mount root project metadata for base build * fix comment * continued dockerfile fixes for workspaces setup * fix path * ruff check fix
🔧 (.pre-commit-config.yaml): Add eslint@9.1.1 as a dependency and enable autofix for pretty-format-json hook
🔧 (.pre-commit-config.yaml): Add eslint@9.1.1 as a dependency and enable autofix for pretty-format-json hook
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.
❤️ Contributors
Languages
Python
64.5%
TypeScript
23.4%
JavaScript
11.4%
CSS
0.3%
Makefile
0.2%
Other
0.1%
