langflow
> 前端框架Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
About
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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.
📥 Download Langflow Desktop ⚡️ Quickstart Install locally (recommended)
Requires Python 3.10–3.14 and uv (recommended package manager). Install
From a fresh directory, run:
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package. Run
To start 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:
For more information, see DEVELOPMENT.md. Docker Start a Langflow container with default settings:
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.
❤️ Contributors
Issues· 1189 open
- #15513
Evaluation proposal: bounded typed MCP tool exposure for large catalogs
Updated Oct 2, 2026 - #15510
Split Text fails with non-string metadata column labels
Updated Oct 2, 2026 - #15394
Concurrent idempotent submissions create duplicate jobs for the same owner and key
bugjiraUpdated Oct 1, 2026 - #15414
Sudden Error during flow creation but information were not lost
Updated Oct 1, 2026 - #15463
Editor freezes on flows with many sessions: /monitor/messages/sessions returns every session with no limit
bugjiraUpdated Oct 1, 2026 - #15494
JSON/Data addition mutates overlapping list values in the left operand
bugjiraUpdated Oct 1, 2026 - #15496
lfx-mcp cannot supply global variables: LangflowClient drops X-LANGFLOW-GLOBAL-VAR-* from env
bugjiraUpdated Oct 1, 2026 - #15358
Multiple components of the same type, wired as separate Agent tools, all get the identical tool name
bugjiraUpdated Oct 1, 2026 - #15480
[Graph checkpoint / HITL] Approving a human-input step fails with "ComponentStructuredTool … Input should be callable" when the paused flow contains agent tools
bugUpdated Sep 30, 2026 - #15323
Startup recovery leaves queued jobs leased when re-enqueue fails
bugjiraUpdated Sep 30, 2026