2a6461560d
* chore: update dependency markers and add pytest-cov for coverage reporting - Refined dependency markers for several packages to improve compatibility with Python 3.12 and specific platforms. - Added pytest-cov to development dependencies for enhanced test coverage reporting. - Updated dependencies for pyobjc frameworks to include platform-specific markers for better compatibility. * chore: enhance lfx_tests command with coverage reporting - Updated the lfx_tests target in the Makefile to include coverage reporting options for pytest. - Added coverage metrics output in XML, HTML, and terminal formats to improve test visibility and analysis. * chore: update codecov configuration for LFX coverage tracking - Added LFX coverage target and threshold to the codecov.yml file. - Defined separate coverage flags for frontend, backend, and LFX components. - Updated ignore patterns to exclude LFX test and component directories from coverage reports. * chore: add coverage upload steps to Python CI workflow - Implemented steps to upload coverage reports to Codecov for Python 3.10. - Added artifact upload for coverage reports, retaining them for 30 days. * chore: update LFX coverage target in codecov configuration - Increased the LFX coverage target from 40% to 60% to encourage aspirational improvement. - Clarified the allowable drop in coverage threshold from 44% to 39% without failing the status check. * chore: update coverage configuration in pyproject.toml - Enabled branch coverage in the coverage run configuration. - Fixed a typo in the main module check to ensure proper execution.
Caution
- Langflow versions 1.6.0 through 1.6.3 have a critical bug where
.envfiles are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use.envfiles for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.- Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
- Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
- Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760
For security information, see our Security Policy and Security Advisories.
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
Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
$ uv pip install langflow -U
Installs the latest Langflow package.
Run
$ uv run langflow run
Starts the Langflow server at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow 🎉
Other install options
Install from repo
If you're contributing or running from source, see DEVELOPMENT.md for setup instructions.
📦 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.