Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
e19d90bd6c* Update scripts
* update the base dep in uv deps
* update nightly scripts
* Add uv creds for publish
* skip tests for now
* fix version
* only build the wheel
* try again
* add uv to python run
* [autofix.ci] apply automated fixes
* use uv cache
* more version fixe
* fixing versions
* fix base version
* Try no frozen?
* skip everything to try docker build
* tag
* frozen
* separate script for updating uv dep
* [autofix.ci] apply automated fixes
* hardcoded versions
* hardcoded versions
* add version to editable package
* build project before docker file runs
* try again
* fix uv patht o build
* don't know why this would mkae a difference
* debug statements
* debug statements
* debug statements
* change path to whl 🤷
* manually move the wheel...
* make dir
* try no sources
* add back tests
* refactor uv to action
* add uv action
* Update nightly build workflow to include uv lock files in version update commit
* Update lint-py workflow to use specific ref for setup-uv action
* Add checkout step to style-check-py GitHub Actions workflow
* Remove redundant GitHub ref syntax in lint-py.yml workflow
* Update lint-py.yml to use specific ref for setup-uv action
* Update action.yml: standardize quotes and remove redundant checkout step
* Add checkout step to GitHub Actions workflows for specific ref handling
- Introduced `actions/checkout@v4` step to multiple workflows to ensure code is checked out at a specific ref.
- Updated `.github/workflows/docker-build.yml`, `.github/workflows/release_nightly.yml`, `.github/workflows/lint-py.yml`, and `.github/workflows/style-check-py.yml` to include the new checkout step.
- Ensured credentials are persisted during the checkout process.
* Add checkout step to Python test workflow with specific ref
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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
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|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.ES.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 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.