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* init biome * lint * format * unused vars * more unused vars * error fixes * import ordering * test precommit hook * add precommit hook * [autofix.ci] apply automated fixes * remove prettier and eslint and update gh actions * pre-commit update * ✨ (Makefile): add new targets 'biome' and 'biome_check' to run biome check and format on frontend code. * 🔧 (Makefile): rename 'biome' target to 'format_frontend' for clarity and consistency 🔧 (Makefile): rename 'biome_check' target to 'format_frontend_check' for clarity and consistency * 📝 (biome.json): Update a11y rule in biome.json to turn off 'noStaticElementInteractions' warning 🔧 (apiModal/code-tabs.tsx): Remove unused 'autologin' variable in APITabsComponent ♻️ (global-variable-modal.tsx): Simplify GeneralGlobalVariableModal component by removing unused props definition * 📝 (biome.json): Remove 'debug' from allowed console methods to improve code quality 🔧 (index.tsx): Replace console.debug with console.log for better logging consistency ♻️ (index.tsx): Refactor UpdateAllComponents function signature to remove unnecessary empty object parameter * fix console rules * 📝 (biome.json): update a11y rule to warn for noStaticElementInteractions to improve accessibility compliance. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.