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fbb097dc4c
* uv sync works * fist stab at Makefile * uv treatment for langflow-base * sqlmodel to 0.0.18 * add reinstall_backend to Makefile * makefile - reinstall_backend fix and unit_test dependency * fix dev dependencies * fix dev dependencies * fix dev dependencies * lock * Makefile * [autofix.ci] apply automated fixes * Update Makefile Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * delete update_dependencies * fix lint * Remove Poetry lock check from GitHub Actions workflow * Switch to 'uv' for dependency management and caching in style-check workflow * Update style-check workflow to use '--only-dev' flag for Ruff check * Integrate 'uv' package setup and caching in GitHub Actions workflows * Update version check in GitHub Actions to use 'uv tree' for langflow-base * Remove redundant poetry environment setup in GitHub Actions workflow * Add step to minimize uv cache in GitHub Actions workflow * Update GitHub Actions workflow to use 'uv' for dependency management and caching * Remove redundant script execution from build_langflow target in Makefile * [autofix.ci] apply automated fixes * Switch build system from Poetry to Hatchling and update dependencies - Replace `poetry-core` with `hatchling` in build-system requirements - Update `langflow-base` dependency to version `0.0.96` - Add `tool.hatch.build.targets.wheel` configuration - Adjust `tool.uv.sources` paths for `langflow-frontend` and `langflow-base` * update lock * Switch build system from Poetry to Hatchling in pyproject.toml * Add langchain-unstructured dependency to pyproject.toml --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.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 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.