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* feat(memory): improve memory UI with empty states, toasts, and model filtering * [autofix.ci] apply automated fixes * fix: capture memory id/name before setTimeout to prevent stale closure null access * error improvement and testcase addition * fix: surface refresh errors, restore API error messages, flatten sidebar ternary, and add keyboard access to batch-size tooltip * [autofix.ci] apply automated fixes * biome fix * fix types * [autofix.ci] apply automated fixes * fix: UI polish for Memories and Traces sidebar sections * [autofix.ci] apply automated fixes * feat(memories): surface memory config in summary card with popover details * fix: replace magic index, template literals, and inline noops in Memories/Traces sidebar * [autofix.ci] apply automated fixes * ruff fix * fix testcases * improve testcase cov import clean up * [autofix.ci] apply automated fixes * fix import order * accessibility fix * [autofix.ci] apply automated fixes * feat(memories): make preprocessing instructions required with tooltip hint * ruff fix * [autofix.ci] apply automated fixes * feat(memories): redesign MemoryDetailsHeader UI and update tests * [autofix.ci] apply automated fixes * ruff fixes --------- Co-authored-by: Olayinka Adelakun <olayinkaadelakun@mac.war.can.ibm.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Olayinka Adelakun <olayinkaadelakun@Olayinkas-MacBook-Pro.local>
Langflow is a powerful platform 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.
🖥️ Langflow Desktop
Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
🛡️ Security
For security information, see our Security Policy.
🚀 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
⭐ 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.