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* docs: Update README with note on development setup instructions * docs: Revise development environment setup instructions for clarity and organization * Revise Quickstart note for repo cloning Updated note about repo cloning in the Quickstart section. * Update README for clarity and organization in Quickstart section Refined installation and running instructions, added emphasis on local installation, and improved formatting for better readability. Included a caution note for Windows users regarding updates. * Update README to streamline Quickstart instructions Removed unnecessary header and improved clarity in the Quickstart section by consolidating the instructions for accessing the local server. This enhances readability and user experience. * Enhance README Quickstart section for clarity and completeness Updated installation instructions to improve clarity, added emphasis on local installation, and included additional details about running the Langflow server. Revised section headers for better organization and user experience. * Add @mendonk suggestion Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com> * Improve devcontainer instruction, to @mendonk suggestion Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com> --------- Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>
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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.