[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-461":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":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":16,"starSnapshotCount":16,"syncStatus":35,"lastSyncTime":36,"discoverSource":37},461,"MetaGPT","FoundationAgents\u002FMetaGPT","FoundationAgents","🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming","https:\u002F\u002Fatoms.dev\u002F",null,"Python",68723,8781,912,21,0,35,193,825,151,45,"MIT License",false,"main",true,[27,28,29,30,31],"agent","gpt","llm","metagpt","multi-agent","2026-06-12 02:00:13","\n# MetaGPT: The Multi-Agent Framework\n\n\u003Cp align=\"center\">\n\u003Ca href=\"\">\u003Cimg src=\"docs\u002Fresources\u002FMetaGPT-new-log.png\" alt=\"MetaGPT logo: Enable GPT to work in a software company, collaborating to tackle more complex tasks.\" width=\"150px\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n[ \u003Cb>En\u003C\u002Fb> |\n\u003Ca href=\"docs\u002FREADME_CN.md\">中\u003C\u002Fa> |\n\u003Ca href=\"docs\u002FREADME_FR.md\">Fr\u003C\u002Fa> |\n\u003Ca href=\"docs\u002FREADME_JA.md\">日\u003C\u002Fa> ]\n\u003Cb>Assign different roles to GPTs to form a collaborative entity for complex tasks.\u003C\u002Fb>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n\u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-blue.svg\" alt=\"License: MIT\">\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002FDYn29wFk9z\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FJoin-Discord-gGnrXvVz7a?logo=discord\" alt=\"Discord Follow\">\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Ftwitter.com\u002FMetaGPT_\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002FMetaGPT?style=social\" alt=\"Twitter Follow\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Ch4 align=\"center\">\n    \n\u003C\u002Fh4>\n\n## News\n\n🚀 Mar. 10, 2025: 🎉 [mgx.dev](https:\u002F\u002Fmgx.dev\u002F) is the #1 Product of the Week on @ProductHunt! 🏆\n\n🚀 Mar. &nbsp; 4, 2025: 🎉 [mgx.dev](https:\u002F\u002Fmgx.dev\u002F) is the #1 Product of the Day on @ProductHunt! 🏆\n\n🚀 Feb. 19, 2025: Today we are officially launching our natural language programming product: [MGX (MetaGPT X)](https:\u002F\u002Fmgx.dev\u002F) - the world's first AI agent development team. More details on [Twitter](https:\u002F\u002Fx.com\u002FMetaGPT_\u002Fstatus\u002F1892199535130329356).\n\n🚀 Feb. 17, 2025: We introduced two papers: [SPO](https:\u002F\u002Farxiv.org\u002Fpdf\u002F2502.06855) and [AOT](https:\u002F\u002Farxiv.org\u002Fpdf\u002F2502.12018), check the [code](examples)!\n\n🚀 Jan. 22, 2025: Our paper [AFlow: Automating Agentic Workflow Generation](https:\u002F\u002Fopenreview.net\u002Fforum?id=z5uVAKwmjf) accepted for **oral presentation (top 1.8%)** at ICLR 2025, **ranking #2** in the LLM-based Agent category.\n\n👉👉 [Earlier news](docs\u002FNEWS.md) \n\n## Software Company as Multi-Agent System\n\n1. MetaGPT takes a **one line requirement** as input and outputs **user stories \u002F competitive analysis \u002F requirements \u002F data structures \u002F APIs \u002F documents, etc.**\n2. Internally, MetaGPT includes **product managers \u002F architects \u002F project managers \u002F engineers.** It provides the entire process of a **software company along with carefully orchestrated SOPs.**\n   1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs.\n\n![A software company consists of LLM-based roles](docs\u002Fresources\u002Fsoftware_company_cd.jpeg)\n\n\u003Cp align=\"center\">Software Company Multi-Agent Schematic (Gradually Implementing)\u003C\u002Fp>\n\n## Get Started\n\n### Installation\n\n> Ensure that Python 3.9 or later, but less than 3.12, is installed on your system. You can check this by using: `python --version`.  \n> You can use conda like this: `conda create -n metagpt python=3.9 && conda activate metagpt`\n\n```bash\npip install --upgrade metagpt\n# or `pip install --upgrade git+https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT.git`\n# or `git clone https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT && cd MetaGPT && pip install --upgrade -e .`\n```\n\n**Install [node](https:\u002F\u002Fnodejs.org\u002Fen\u002Fdownload) and [pnpm](https:\u002F\u002Fpnpm.io\u002Finstallation#using-npm) before actual use.**\n\nFor detailed installation guidance, please refer to [cli_install](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Finstallation.html#install-stable-version)\n or [docker_install](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Finstallation.html#install-with-docker)\n\n### Configuration\n\nYou can init the config of MetaGPT by running the following command, or manually create `~\u002F.metagpt\u002Fconfig2.yaml` file:\n```bash\n# Check https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Fconfiguration.html for more details\nmetagpt --init-config  # it will create ~\u002F.metagpt\u002Fconfig2.yaml, just modify it to your needs\n```\n\nYou can configure `~\u002F.metagpt\u002Fconfig2.yaml` according to the [example](https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT\u002Fblob\u002Fmain\u002Fconfig\u002Fconfig2.example.yaml) and [doc](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Fconfiguration.html):\n\n```yaml\nllm:\n  api_type: \"openai\"  # or azure \u002F ollama \u002F groq etc. Check LLMType for more options\n  model: \"gpt-4-turbo\"  # or gpt-3.5-turbo\n  base_url: \"https:\u002F\u002Fapi.openai.com\u002Fv1\"  # or forward url \u002F other llm url\n  api_key: \"YOUR_API_KEY\"\n```\n\n### Usage\n\nAfter installation, you can use MetaGPT at CLI\n\n```bash\nmetagpt \"Create a 2048 game\"  # this will create a repo in .\u002Fworkspace\n```\n\nor use it as library\n\n```python\nfrom metagpt.software_company import generate_repo\nfrom metagpt.utils.project_repo import ProjectRepo\n\nrepo: ProjectRepo = generate_repo(\"Create a 2048 game\")  # or ProjectRepo(\"\u003Cpath>\")\nprint(repo)  # it will print the repo structure with files\n```\n\nYou can also use [Data Interpreter](https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT\u002Ftree\u002Fmain\u002Fexamples\u002Fdi) to write code:\n\n```python\nimport asyncio\nfrom metagpt.roles.di.data_interpreter import DataInterpreter\n\nasync def main():\n    di = DataInterpreter()\n    await di.run(\"Run data analysis on sklearn Iris dataset, include a plot\")\n\nasyncio.run(main())  # or await main() in a jupyter notebook setting\n```\n\n\n### QuickStart & Demo Video\n- Try it on [MetaGPT Huggingface Space](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Fdeepwisdom\u002FMetaGPT-SoftwareCompany)\n- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https:\u002F\u002Fyoutu.be\u002FuT75J_KG_aY)\n- [Official Demo Video](https:\u002F\u002Fgithub.com\u002Fgeekan\u002FMetaGPT\u002Fassets\u002F2707039\u002F5e8c1062-8c35-440f-bb20-2b0320f8d27d)\n\nhttps:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F888cb169-78c3-4a42-9d62-9d90ed3928c9\n\n## Tutorial\n\n- 🗒 [Online Document](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002F)\n- 💻 [Usage](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Fquickstart.html)  \n- 🔎 [What can MetaGPT do?](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fget_started\u002Fintroduction.html)\n- 🛠 How to build your own agents? \n  - [MetaGPT Usage & Development Guide | Agent 101](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Ftutorials\u002Fagent_101.html)\n  - [MetaGPT Usage & Development Guide | MultiAgent 101](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Ftutorials\u002Fmulti_agent_101.html)\n- 🧑‍💻 Contribution\n  - [Develop Roadmap](docs\u002FROADMAP.md)\n- 🔖 Use Cases\n  - [Data Interpreter](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fuse_cases\u002Fagent\u002Finterpreter\u002Fintro.html)\n  - [Debate](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fuse_cases\u002Fmulti_agent\u002Fdebate.html)\n  - [Researcher](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fuse_cases\u002Fagent\u002Fresearcher.html)\n  - [Receipt Assistant](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Fuse_cases\u002Fagent\u002Freceipt_assistant.html)\n- ❓ [FAQs](https:\u002F\u002Fdocs.deepwisdom.ai\u002Fmain\u002Fen\u002Fguide\u002Ffaq.html)\n\n## Support\n\n### Discord Join US\n\n📢 Join Our [Discord Channel](https:\u002F\u002Fdiscord.gg\u002FZRHeExS6xv)! Looking forward to seeing you there! 🎉\n\n### Contributor form\n\n📝 [Fill out the form](https:\u002F\u002Fairtable.com\u002FappInfdG0eJ9J4NNL\u002FpagK3Fh1sGclBvVkV\u002Fform) to become a contributor. We are looking forward to your participation!\n\n### Contact Information\n\nIf you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!\n\n- **Email:** alexanderwu@deepwisdom.ai\n- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https:\u002F\u002Fgithub.com\u002Fgeekan\u002Fmetagpt\u002Fissues).\n\nWe will respond to all questions within 2-3 business days.\n\n## Citation\n\nTo stay updated with the latest research and development, follow [@MetaGPT_](https:\u002F\u002Ftwitter.com\u002FMetaGPT_) on Twitter. \n\nTo cite [MetaGPT](https:\u002F\u002Fopenreview.net\u002Fforum?id=VtmBAGCN7o) in publications, please use the following BibTeX entries.   \n\n```bibtex\n@inproceedings{hong2024metagpt,\n      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},\n      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\\\"u}rgen Schmidhuber},\n      booktitle={The Twelfth International Conference on Learning Representations},\n      year={2024},\n      url={https:\u002F\u002Fopenreview.net\u002Fforum?id=VtmBAGCN7o}\n}\n```\n\nFor more work, please refer to [Academic Work](docs\u002FACADEMIC_WORK.md).\n","MetaGPT 是一个多智能体框架，旨在通过自然语言编程实现复杂的任务协作。该项目的核心功能是将不同的角色分配给GPT模型，形成一个协同工作的实体，能够根据一条需求输入生成用户故事、竞品分析、需求文档、数据结构、API设计和文档等输出。技术上，它利用了大型语言模型（LLM）来模拟软件公司的各个职能角色，包括产品经理、架构师、项目经理和工程师，并通过精心编排的标准操作程序（SOP）来指导整个开发流程。MetaGPT特别适合需要快速原型化或希望以更自然的方式与AI合作完成复杂软件项目的企业和个人开发者使用。",2,"2026-06-11 02:36:06","top_all"]