86c54de508
* 🔧 (build_and_run.bat): add support for loading environment variables from .env file 🔧 (build_and_run.ps1): add support for loading environment variables from .env file * 🐛 (build_and_run.bat): fix path to .env file to correctly load environment variables 🐛 (build_and_run.ps1): fix path to .env file to correctly load environment variables * 🔧 (build_and_run.bat): set env file parameter if .env file exists to pass to langflow run 🔧 (build_and_run.ps1): set env file parameter if .env file exists to pass to langflow run * 📝 (build_and_run.bat): improve script to dynamically find and set .env file path for Langflow run 📝 (build_and_run.ps1): enhance script to dynamically locate and set .env file path for Langflow run * Update scripts/windows/build_and_run.bat Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * 🔧 (build_and_run.ps1): refactor script to use a boolean flag 'useEnvFile' instead of a string variable 'envFileParam' to improve readability and maintainability 🔧 (build_and_run.ps1): update uvicorn command to use '--env-file' flag directly instead of building the command with a string variable --------- Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.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.