[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-281":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":16,"starSnapshotCount":16,"syncStatus":36,"lastSyncTime":37,"discoverSource":38},281,"langflow","langflow-ai\u002Flangflow","langflow-ai","Langflow is a powerful tool for building and deploying AI-powered agents and workflows.","http:\u002F\u002Fwww.langflow.org",null,"Python",149748,9278,471,234,0,38,286,1376,199,120,"MIT License",false,"main",true,[27,28,29,30,31,32],"agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow","2026-06-17 04:00:02","\u003C!-- markdownlint-disable MD030 -->\n\n\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\".\u002Fdocs\u002Fstatic\u002Fimg\u002Flangflow-logo-color-blue-bg.svg\">\n  \u003Cimg src=\".\u002Fdocs\u002Fstatic\u002Fimg\u002Flangflow-logo-color-black-solid.svg\" alt=\"Langflow logo\">\n\u003C\u002Fpicture>\n\n[![Release Notes](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Flangflow-ai\u002Flangflow?style=flat-square)](https:\u002F\u002Fgithub.com\u002Flangflow-ai\u002Flangflow\u002Freleases)\n[![PyPI - License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-orange)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT)\n[![PyPI - Downloads](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fdm\u002Flangflow?style=flat-square)](https:\u002F\u002Fpypistats.org\u002Fpackages\u002Flangflow)\n[![Twitter](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Furl\u002Fhttps\u002Ftwitter.com\u002Flangflow-ai.svg?style=social&label=Follow%20%40Langflow)](https:\u002F\u002Ftwitter.com\u002Flangflow_ai)\n[![YouTube Channel](https:\u002F\u002Fimg.shields.io\u002Fyoutube\u002Fchannel\u002Fsubscribers\u002FUCn2bInQrjdDYKEEmbpwblLQ?label=Subscribe)](https:\u002F\u002Fwww.youtube.com\u002F@Langflow)\n[![Discord Server](https:\u002F\u002Fimg.shields.io\u002Fdiscord\u002F1116803230643527710?logo=discord&style=social&label=Join)](https:\u002F\u002Fdiscord.gg\u002FEqksyE2EX9)\n[![Ask DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg)](https:\u002F\u002Fdeepwiki.com\u002Flangflow-ai\u002Flangflow)\n\n[Langflow](https:\u002F\u002Flangflow.org) 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.\n\n## ✨ Highlight features\n\n- **Visual builder interface** to quickly get started and iterate.\n- **Source code access** lets you customize any component using Python.\n- **Interactive playground** to immediately test and refine your flows with step-by-step control.\n- **Multi-agent orchestration** with conversation management and retrieval.\n- **Deploy as an API** or export as JSON for Python apps.\n- **Deploy as an MCP server** and turn your flows into tools for MCP clients.\n- **Observability** with LangSmith, LangFuse and other integrations.\n- **Enterprise-ready** security and scalability.\n\n## 🖥️  Langflow Desktop\n\nLangflow 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.\nAvailable for Windows and macOS.\n\n[📥 Download Langflow Desktop](https:\u002F\u002Fwww.langflow.org\u002Fdesktop)\n\n## ⚡️ Quickstart\n\n### Install locally (recommended)\n\nRequires Python 3.10–3.13 and [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fgetting-started\u002Finstallation\u002F) (recommended package manager).\n\n#### Install\n\nFrom a fresh directory, run:\n```shell\nuv pip install langflow -U\n```\n\nThe latest Langflow package is installed.\nFor more information, see [Install and run the Langflow OSS Python package](https:\u002F\u002Fdocs.langflow.org\u002Fget-started-installation#install-and-run-the-langflow-oss-python-package).\n\n#### Run\n\nTo start Langflow, run:\n```shell\nuv run langflow run\n```\n\nLangflow starts at http:\u002F\u002F127.0.0.1:7860.\n\nThat's it! You're ready to build with Langflow! 🎉\n\n## 📦 Other install options\n\n### Run from source\nIf you've cloned this repository and want to contribute, run this command from the repository root:\n```shell\nmake run_cli\n```\nFor more information, see [DEVELOPMENT.md](.\u002FDEVELOPMENT.md).\n\n### Docker\nStart a Langflow container with default settings:\n```shell\ndocker run -p 7860:7860 langflowai\u002Flangflow:latest\n```\nLangflow is available at http:\u002F\u002Flocalhost:7860\u002F.\nFor configuration options, see the [Docker deployment guide](https:\u002F\u002Fdocs.langflow.org\u002Fdeployment-docker).\n\n## 🛡️ Security\n\nFor security information, see our [Security Policy](.\u002FSECURITY.md).\n\n## 🚀 Deployment\n\nLangflow 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](https:\u002F\u002Fdocs.langflow.org\u002Fdeployment-overview).\n\n## ⭐ Stay up-to-date\n\nStar Langflow on GitHub to be instantly notified of new releases.\n\n![Star Langflow](https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F03168b17-a11d-4b2a-b0f7-c1cce69e5a2c)\n\n## 👋 Contribute\n\nWe welcome contributions from developers of all levels. If you'd like to contribute, please check our [contributing guidelines](.\u002FCONTRIBUTING.md) and help make Langflow more accessible.\n\n---\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=langflow-ai\u002Flangflow&type=Timeline)](https:\u002F\u002Fstar-history.com\u002F#langflow-ai\u002Flangflow&Date)\n\n## ❤️ Contributors\n\n[![langflow contributors](https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=langflow-ai\u002Flangflow)](https:\u002F\u002Fgithub.com\u002Flangflow-ai\u002Flangflow\u002Fgraphs\u002Fcontributors)\n","Langflow 是一个用于构建和部署基于AI的代理和工作流的强大工具。它提供了一个可视化构建界面，支持所有主流的大规模语言模型（LLM）和向量数据库，并且内置了API和服务端功能，使得创建的工作流能够轻松集成到任何框架或技术栈中开发的应用程序里。核心特点包括多代理协调、交互式测试环境以及企业级的安全性和可扩展性。适合需要快速开发并部署AI解决方案的开发者或团队使用，在场景如聊天机器人、客户服务自动化及复杂的多步骤业务流程自动化中特别有用。",2,"2026-06-17 02:33:04","top_all"]