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      "architecture": "dense",
      "contextLength": "128K",
      "quantizations": [
        "F16",
        "Q8_0",
        "Q6_K",
        "Q5_K_M",
        "Q4_K_M",
        "Q3_K_M",
        "Q2_K"
      ],
      "hardware": {
        "vramMinGB": 6,
        "vramComfortGB": 10,
        "ramMinGB": 8,
        "diskGB": null,
        "measured": false,
        "note": "显存为 Q4_K_M 档参考"
      },
      "author": "阿里云通义千问（Qwen）",
      "sourceUrl": "https://huggingface.co/Qwen/Qwen2.5-7B",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/m-qwen2-5-7b-base",
          "manual": "https://aiworkswell.com/zh-CN/apps/m-qwen2-5-7b-base/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/m-qwen2-5-7b-base/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/m-qwen2-5-7b-base",
          "manual": "https://aiworkswell.com/zh-TW/apps/m-qwen2-5-7b-base/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/m-qwen2-5-7b-base/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/m-qwen2-5-7b-base",
          "manual": "https://aiworkswell.com/en/apps/m-qwen2-5-7b-base/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/m-qwen2-5-7b-base/prompt.txt"
        }
      }
    },
    {
      "slug": "stirling-pdf",
      "name": "Stirling PDF",
      "section": "works",
      "category": "office",
      "schemaType": "SoftwareApplication",
      "tagline": "合并、拆分、压缩 PDF，全在本机做，文件不上传。",
      "license": "MIT",
      "platforms": [
        "web",
        "selfhost",
        "linux"
      ],
      "installLevel": 5,
      "availability": "self-host",
      "domains": [
        "productivity-org"
      ],
      "author": "Stirling-Tools",
      "sourceUrl": "https://github.com/Stirling-Tools/Stirling-PDF",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/stirling-pdf",
          "manual": "https://aiworkswell.com/zh-CN/apps/stirling-pdf/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/stirling-pdf/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/stirling-pdf",
          "manual": "https://aiworkswell.com/zh-TW/apps/stirling-pdf/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/stirling-pdf/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/stirling-pdf",
          "manual": "https://aiworkswell.com/en/apps/stirling-pdf/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/stirling-pdf/prompt.txt"
        }
      }
    },
    {
      "slug": "open-webui",
      "name": "Open WebUI",
      "section": "works",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "给本机的大模型配一个自己的聊天界面，数据不出门。",
      "license": "Open WebUI License",
      "platforms": [
        "linux",
        "macos",
        "windows",
        "selfhost"
      ],
      "installLevel": 5,
      "availability": "self-host",
      "domains": [
        "productivity-org"
      ],
      "author": "open-webui",
      "sourceUrl": "https://github.com/open-webui/open-webui",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/open-webui",
          "manual": "https://aiworkswell.com/zh-CN/apps/open-webui/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/open-webui/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/open-webui",
          "manual": "https://aiworkswell.com/zh-TW/apps/open-webui/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/open-webui/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/open-webui",
          "manual": "https://aiworkswell.com/en/apps/open-webui/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/open-webui/prompt.txt"
        }
      }
    },
    {
      "slug": "h-reachy-mini",
      "name": "Reachy Mini",
      "section": "works",
      "category": "embodied",
      "schemaType": "SoftwareApplication",
      "tagline": "桌面尺寸的开源陪伴机器人，专为跑 AI 应用设计。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "free",
      "domains": [
        "engineering"
      ],
      "author": "Pollen Robotics / Hugging Face",
      "sourceUrl": "https://github.com/pollen-robotics/reachy_mini",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/h-reachy-mini",
          "manual": "https://aiworkswell.com/zh-CN/apps/h-reachy-mini/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/h-reachy-mini/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/h-reachy-mini",
          "manual": "https://aiworkswell.com/zh-TW/apps/h-reachy-mini/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/h-reachy-mini/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/h-reachy-mini",
          "manual": "https://aiworkswell.com/en/apps/h-reachy-mini/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/h-reachy-mini/prompt.txt"
        }
      }
    },
    {
      "slug": "t-tracecat",
      "name": "Tracecat",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "给安全团队用的开源自动化平台：把告警响应写成可版本控制的流程。",
      "license": "AGPL-3.0",
      "platforms": [
        "selfhost",
        "linux"
      ],
      "installLevel": 4,
      "availability": "self-host",
      "domains": [
        "productivity-org"
      ],
      "author": "Tracecat",
      "sourceUrl": "https://github.com/TracecatHQ/tracecat",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-tracecat",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-tracecat/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-tracecat/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-tracecat",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-tracecat/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-tracecat/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-tracecat",
          "manual": "https://aiworkswell.com/en/apps/t-tracecat/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-tracecat/prompt.txt"
        }
      }
    },
    {
      "slug": "t-super-productivity",
      "name": "Super Productivity",
      "section": "tools",
      "category": "office",
      "schemaType": "SoftwareApplication",
      "tagline": "把待办、时间盒与工时统计合到一个应用里，数据留在你自己手里。",
      "license": "MIT",
      "platforms": [
        "windows",
        "macos",
        "linux",
        "web",
        "android"
      ],
      "installLevel": 2,
      "availability": "free",
      "domains": [
        "productivity-org"
      ],
      "author": "johannesjo",
      "sourceUrl": "https://github.com/super-productivity/super-productivity",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-super-productivity",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-super-productivity/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-super-productivity/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-super-productivity",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-super-productivity/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-super-productivity/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-super-productivity",
          "manual": "https://aiworkswell.com/en/apps/t-super-productivity/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-super-productivity/prompt.txt"
        }
      }
    },
    {
      "slug": "t-qwen-chat",
      "name": "Qwen Chat",
      "section": "tools",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "Qwen Chat 是一个国产对话助手，中文长文写作与代码问答都很能打，网页直开不用装。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "productivity-org"
      ],
      "author": "Alibaba",
      "sourceUrl": "https://chat.qwen.ai/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-qwen-chat",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-qwen-chat/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-qwen-chat/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-qwen-chat",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-qwen-chat/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-qwen-chat/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-qwen-chat",
          "manual": "https://aiworkswell.com/en/apps/t-qwen-chat/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-qwen-chat/prompt.txt"
        }
      }
    },
    {
      "slug": "t-penpot",
      "name": "Penpot",
      "section": "tools",
      "category": "image",
      "schemaType": "SoftwareApplication",
      "tagline": "开源的设计与原型协作平台，设计稿与代码在同一个可自托管的工具里对齐。",
      "license": "MPL-2.0",
      "platforms": [
        "web",
        "selfhost",
        "linux",
        "macos",
        "windows"
      ],
      "installLevel": 1,
      "availability": "free",
      "domains": [
        "art-design",
        "productivity-org"
      ],
      "author": "Kaleidos",
      "sourceUrl": "https://github.com/penpot/penpot",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-penpot",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-penpot/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-penpot/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-penpot",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-penpot/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-penpot/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-penpot",
          "manual": "https://aiworkswell.com/en/apps/t-penpot/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-penpot/prompt.txt"
        }
      }
    },
    {
      "slug": "t-papers-with-code",
      "name": "Papers with Code",
      "section": "tools",
      "category": "search",
      "schemaType": "SoftwareApplication",
      "tagline": "Papers with Code 是一个把论文与开源实现配在一起的站（现由 HF 承接），附基准榜单。",
      "license": "见官方条款",
      "platforms": [
        "web"
      ],
      "installLevel": 2,
      "availability": "free",
      "domains": [
        "science"
      ],
      "author": "Meta AI",
      "sourceUrl": "https://paperswithcode.com/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
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          "manual": "https://aiworkswell.com/zh-CN/apps/t-papers-with-code/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-papers-with-code/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-papers-with-code",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-papers-with-code/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-papers-with-code/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-papers-with-code",
          "manual": "https://aiworkswell.com/en/apps/t-papers-with-code/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-papers-with-code/prompt.txt"
        }
      }
    },
    {
      "slug": "t-obs-studio",
      "name": "OBS Studio",
      "section": "tools",
      "category": "audio-video",
      "schemaType": "SoftwareApplication",
      "tagline": "OBS Studio 是一个开源的录屏与直播软件，跨平台且插件生态丰富，能直接开录。",
      "license": "GPL-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 2,
      "availability": "free",
      "domains": [],
      "author": "OBS Project",
      "sourceUrl": "https://github.com/obsproject/obs-studio",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-obs-studio",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-obs-studio/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-obs-studio/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-obs-studio",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-obs-studio/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-obs-studio/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-obs-studio",
          "manual": "https://aiworkswell.com/en/apps/t-obs-studio/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-obs-studio/prompt.txt"
        }
      }
    },
    {
      "slug": "h-lekiwi",
      "name": "LeKiwi",
      "section": "works",
      "category": "embodied",
      "schemaType": "SoftwareApplication",
      "tagline": "几百元级零件就能搭起来的开源移动机械臂，用来学具身智能。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "free",
      "domains": [
        "engineering"
      ],
      "author": "SIGRobotics / 开源社区",
      "sourceUrl": "https://github.com/SIGRobotics-UIUC/LeKiwi",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/h-lekiwi",
          "manual": "https://aiworkswell.com/zh-CN/apps/h-lekiwi/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/h-lekiwi/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/h-lekiwi",
          "manual": "https://aiworkswell.com/zh-TW/apps/h-lekiwi/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/h-lekiwi/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/h-lekiwi",
          "manual": "https://aiworkswell.com/en/apps/h-lekiwi/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/h-lekiwi/prompt.txt"
        }
      }
    },
    {
      "slug": "t-zotero",
      "name": "Zotero",
      "section": "tools",
      "category": "office",
      "schemaType": "SoftwareApplication",
      "tagline": "Zotero 是一个文献管理的老牌免费工具，论文、引用、PDF 笔记一站式。",
      "license": "AGPL-3.0",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "science"
      ],
      "author": "Zotero",
      "sourceUrl": "https://github.com/zotero/zotero",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-zotero",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-zotero/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-zotero/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-zotero",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-zotero/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-zotero/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-zotero",
          "manual": "https://aiworkswell.com/en/apps/t-zotero/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-zotero/prompt.txt"
        }
      }
    },
    {
      "slug": "t-nanogpt",
      "name": "nanoGPT",
      "section": "tools",
      "category": "devtools",
      "schemaType": "SoftwareApplication",
      "tagline": "nanoGPT 是一个 Karpathy 的极简 GPT 训练仓库，代码只有几百行，能看懂大模型训练。",
      "license": "MIT",
      "platforms": [
        "web",
        "cli"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "education",
        "science"
      ],
      "author": "Andrej Karpathy",
      "sourceUrl": "https://github.com/karpathy/nanoGPT",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-nanogpt",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-nanogpt/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-nanogpt/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-nanogpt",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-nanogpt/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-nanogpt/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-nanogpt",
          "manual": "https://aiworkswell.com/en/apps/t-nanogpt/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-nanogpt/prompt.txt"
        }
      }
    },
    {
      "slug": "t-notion-ai",
      "name": "Notion AI",
      "section": "tools",
      "category": "office",
      "schemaType": "SoftwareApplication",
      "tagline": "Notion AI 是一个文档里直接长出来的 AI，写、改、总结都在同一页。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "paid",
      "domains": [
        "productivity-org"
      ],
      "author": "Notion",
      "sourceUrl": "https://www.notion.com/product/ai",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-notion-ai",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-notion-ai/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-notion-ai/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-notion-ai",
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          "prompt": "https://aiworkswell.com/zh-TW/apps/t-notion-ai/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-notion-ai",
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          "prompt": "https://aiworkswell.com/en/apps/t-notion-ai/prompt.txt"
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      }
    },
    {
      "slug": "t-modelscope",
      "name": "ModelScope",
      "section": "tools",
      "category": "model",
      "schemaType": "WebApplication",
      "tagline": "ModelScope 是一个阿里系的开源模型与数据集社区，国内访问友好，适合找中文模型。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [],
      "author": "Alibaba",
      "sourceUrl": "https://modelscope.cn/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-modelscope",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-modelscope/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-modelscope/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-modelscope",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-modelscope/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-modelscope/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-modelscope",
          "manual": "https://aiworkswell.com/en/apps/t-modelscope/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-modelscope/prompt.txt"
        }
      }
    },
    {
      "slug": "t-model-context-protocol",
      "name": "Model Context Protocol",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "Model Context Protocol 是 Anthropic 提出的开放协议，能把外部工具与数据统一接给 AI。",
      "license": "Apache-2.0（正从 MIT 迁移；文档为 CC-BY-4.0）",
      "platforms": [
        "web"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "engineering"
      ],
      "author": "Anthropic",
      "sourceUrl": "https://github.com/modelcontextprotocol/modelcontextprotocol",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
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          "manual": "https://aiworkswell.com/zh-CN/apps/t-model-context-protocol/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-model-context-protocol/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-model-context-protocol",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-model-context-protocol/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-model-context-protocol/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-model-context-protocol",
          "manual": "https://aiworkswell.com/en/apps/t-model-context-protocol/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-model-context-protocol/prompt.txt"
        }
      }
    },
    {
      "slug": "t-langchain",
      "name": "LangChain",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "LangChain 是一个开源的 LLM 应用编排框架，给出链、工具调用与检索等现成抽象。",
      "license": "MIT",
      "platforms": [
        "web"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "engineering"
      ],
      "author": "LangChain",
      "sourceUrl": "https://github.com/langchain-ai/langchain",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-langchain",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-langchain/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-langchain/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-langchain",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-langchain/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-langchain/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-langchain",
          "manual": "https://aiworkswell.com/en/apps/t-langchain/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-langchain/prompt.txt"
        }
      }
    },
    {
      "slug": "t-invokeai",
      "name": "InvokeAI",
      "section": "tools",
      "category": "image",
      "schemaType": "SoftwareApplication",
      "tagline": "InvokeAI 是一个本地跑的开源 AI 绘图套件，画布式编辑加上统一的工作流管理。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "art-design"
      ],
      "author": "InvokeAI",
      "sourceUrl": "https://github.com/invoke-ai/InvokeAI",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-invokeai",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-invokeai/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-invokeai/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-invokeai",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-invokeai/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-invokeai/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-invokeai",
          "manual": "https://aiworkswell.com/en/apps/t-invokeai/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-invokeai/prompt.txt"
        }
      }
    },
    {
      "slug": "t-guardrails",
      "name": "Guardrails AI",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "给大模型的输入输出装护栏：校验格式、拦截违规、统一口径。",
      "license": "Apache-2.0",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "cli"
      ],
      "installLevel": 3,
      "availability": "free",
      "domains": [
        "finance",
        "legal"
      ],
      "author": "Guardrails AI",
      "sourceUrl": "https://github.com/guardrails-ai/guardrails",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-guardrails",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-guardrails/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-guardrails/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-guardrails",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-guardrails/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-guardrails/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-guardrails",
          "manual": "https://aiworkswell.com/en/apps/t-guardrails/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-guardrails/prompt.txt"
        }
      }
    },
    {
      "slug": "t-finrobot",
      "name": "FinRobot",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "把大模型拆成\"分析师小组\"来做金融分析的开源智能体平台。",
      "license": "Apache-2.0",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "cli"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "finance"
      ],
      "author": "AI4Finance Foundation",
      "sourceUrl": "https://github.com/AI4Finance-Foundation/FinRobot",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-finrobot",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-finrobot/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-finrobot/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-finrobot",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-finrobot/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-finrobot/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-finrobot",
          "manual": "https://aiworkswell.com/en/apps/t-finrobot/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-finrobot/prompt.txt"
        }
      }
    },
    {
      "slug": "t-dspy",
      "name": "DSPy",
      "section": "tools",
      "category": "devtools",
      "schemaType": "SoftwareApplication",
      "tagline": "别手写提示词了——用代码的方式声明任务，让框架自己把提示优化好。",
      "license": "MIT",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "cli"
      ],
      "installLevel": 3,
      "availability": "free",
      "domains": [
        "education"
      ],
      "author": "stanfordnlp",
      "sourceUrl": "https://github.com/stanfordnlp/dspy",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-dspy",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-dspy/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-dspy/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-dspy",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-dspy/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-dspy/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-dspy",
          "manual": "https://aiworkswell.com/en/apps/t-dspy/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-dspy/prompt.txt"
        }
      }
    },
    {
      "slug": "t-hugging-face",
      "name": "Hugging Face",
      "section": "tools",
      "category": "model",
      "schemaType": "WebApplication",
      "tagline": "Hugging Face 是一个开源模型与数据集的官方托管平台，也是模型卡与许可证的事实标准来源。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [],
      "author": "Hugging Face",
      "sourceUrl": "https://huggingface.co/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-hugging-face",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-hugging-face/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-hugging-face/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-hugging-face",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-hugging-face/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-hugging-face/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-hugging-face",
          "manual": "https://aiworkswell.com/en/apps/t-hugging-face/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-hugging-face/prompt.txt"
        }
      }
    },
    {
      "slug": "t-doubao",
      "name": "Doubao",
      "section": "tools",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "Doubao 是一个字节跳动的 AI 对话助手，网页与 App 都能用，中文口语化问答体验好。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "productivity-org"
      ],
      "author": "ByteDance",
      "sourceUrl": "https://www.doubao.com/chat/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-doubao",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-doubao/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-doubao/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-doubao",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-doubao/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-doubao/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-doubao",
          "manual": "https://aiworkswell.com/en/apps/t-doubao/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-doubao/prompt.txt"
        }
      }
    },
    {
      "slug": "t-dify",
      "name": "Dify",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "Dify 是一个开源的 Agent/LLM 应用平台，可视化搭出可上线的 AI 应用。",
      "license": "Open Source License",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "productivity-org"
      ],
      "author": "LangGenius",
      "sourceUrl": "https://github.com/langgenius/dify",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-dify",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-dify/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-dify/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-dify",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-dify/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-dify/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-dify",
          "manual": "https://aiworkswell.com/en/apps/t-dify/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-dify/prompt.txt"
        }
      }
    },
    {
      "slug": "t-deepchem",
      "name": "DeepChem",
      "section": "tools",
      "category": "devtools",
      "schemaType": "SoftwareApplication",
      "tagline": "把深度学习用到化学、材料与药物发现上的开源框架，附带现成数据集与模型。",
      "license": "MIT",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "cli"
      ],
      "installLevel": 3,
      "availability": "free",
      "domains": [
        "science"
      ],
      "author": "deepchem",
      "sourceUrl": "https://github.com/deepchem/deepchem",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-deepchem",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-deepchem/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-deepchem/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-deepchem",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-deepchem/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-deepchem/prompt.txt"
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        "en": {
          "page": "https://aiworkswell.com/en/apps/t-deepchem",
          "manual": "https://aiworkswell.com/en/apps/t-deepchem/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/t-deepchem/prompt.txt"
        }
      }
    },
    {
      "slug": "t-claude-legal-skill",
      "name": "Claude Legal Skill",
      "section": "tools",
      "category": "devtools",
      "schemaType": "SoftwareApplication",
      "tagline": "一个合同审阅技能包：装进你的 AI 编码助手，按清单逐条挑风险条款。",
      "license": "MIT",
      "platforms": [
        "cli",
        "linux",
        "windows",
        "macos"
      ],
      "installLevel": 3,
      "availability": "free",
      "domains": [
        "legal"
      ],
      "author": "evolsb",
      "sourceUrl": "https://github.com/evolsb/claude-legal-skill",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/t-claude-legal-skill",
          "manual": "https://aiworkswell.com/zh-CN/apps/t-claude-legal-skill/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/t-claude-legal-skill/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/t-claude-legal-skill",
          "manual": "https://aiworkswell.com/zh-TW/apps/t-claude-legal-skill/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/t-claude-legal-skill/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/t-claude-legal-skill",
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          "prompt": "https://aiworkswell.com/en/apps/t-claude-legal-skill/prompt.txt"
        }
      }
    },
    {
      "slug": "m-flux-1-schnell",
      "name": "FLUX.1 [schnell]",
      "section": "tools",
      "category": "models",
      "schemaType": "WebApplication",
      "tagline": "本地文生图的 12B 模型，8GB 显存可用低显存模式跑。",
      "license": "Apache-2.0",
      "platforms": [
        "windows",
        "macos",
        "linux",
        "cli",
        "selfhost"
      ],
      "installLevel": 4,
      "availability": "open-weights",
      "domains": [],
      "params": "12B",
      "architecture": "diffusion",
      "contextLength": "—",
      "quantizations": [
        "F16",
        "Q8_0",
        "Q6_K",
        "Q5_K_M",
        "Q4_K_M",
        "Q3_K_M",
        "Q2_K"
      ],
      "hardware": {
        "vramMinGB": 8,
        "vramComfortGB": 16,
        "ramMinGB": 16,
        "diskGB": null,
        "measured": false,
        "note": "显存为 F16 档参考"
      },
      "author": "Black Forest Labs",
      "sourceUrl": "https://github.com/black-forest-labs/flux",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
        "zh-CN"
      ],
      "urls": {
        "zh-CN": {
          "page": "https://aiworkswell.com/zh-CN/apps/m-flux-1-schnell",
          "manual": "https://aiworkswell.com/zh-CN/apps/m-flux-1-schnell/llms.txt",
          "prompt": "https://aiworkswell.com/zh-CN/apps/m-flux-1-schnell/prompt.txt"
        },
        "zh-TW": {
          "page": "https://aiworkswell.com/zh-TW/apps/m-flux-1-schnell",
          "manual": "https://aiworkswell.com/zh-TW/apps/m-flux-1-schnell/llms.txt",
          "prompt": "https://aiworkswell.com/zh-TW/apps/m-flux-1-schnell/prompt.txt"
        },
        "en": {
          "page": "https://aiworkswell.com/en/apps/m-flux-1-schnell",
          "manual": "https://aiworkswell.com/en/apps/m-flux-1-schnell/llms.txt",
          "prompt": "https://aiworkswell.com/en/apps/m-flux-1-schnell/prompt.txt"
        }
      }
    },
    {
      "slug": "m-deepseek-r1-7b",
      "name": "DeepSeek-R1-Distill-Qwen-7B",
      "section": "tools",
      "category": "models",
      "schemaType": "WebApplication",
      "tagline": "把\"先想再答\"的能力压进 7B，本地也能做推理题。",
      "license": "MIT",
      "platforms": [
        "windows",
        "macos",
        "linux",
        "cli",
        "selfhost"
      ],
      "installLevel": 4,
      "availability": "open-weights",
      "domains": [],
      "params": "7B",
      "architecture": "dense",
      "contextLength": "128K",
      "quantizations": [
        "F16",
        "Q8_0",
        "Q6_K",
        "Q5_K_M",
        "Q4_K_M",
        "Q3_K_M",
        "Q2_K"
      ],
      "hardware": {
        "vramMinGB": 6,
        "vramComfortGB": 10,
        "ramMinGB": 8,
        "diskGB": null,
        "measured": false,
        "note": "显存为 Q4_K_M 档参考"
      },
      "author": "DeepSeek（深度求索）",
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    {
      "slug": "l-the-rundown",
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      "category": "digest",
      "schemaType": "Article",
      "tagline": "The Rundown AI 是一个每天 5 分钟读完 AI 圈要闻，适合通勤扫一眼。",
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        "web"
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      "domains": [],
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      "slug": "t-deepseek-chat",
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      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
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      "availability": "freemium",
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      "slug": "l-prompt-engineering-guide-course",
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      "category": "tutorial",
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      "tagline": "Prompt Engineering Guide 是一个 DAIR.AI 维护的开源提示工程指南，配大量可复制的示例。",
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      "platforms": [
        "web"
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      "installLevel": 2,
      "availability": "free",
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      "category": "compare",
      "schemaType": "Article",
      "tagline": "LiveBench 是一个抗污染的动态评测榜，看模型「现在」的实际水平。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": null,
      "domains": [
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      "schemaType": "Article",
      "tagline": "Open LLM Leaderboard 是一个开源模型的公开竞技场，社区提交与评测都在这里。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
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      "installLevel": 1,
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      "domains": [
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      "license": "见官方条款",
      "platforms": [
        "web"
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      "installLevel": 1,
      "availability": null,
      "domains": [],
      "author": "Hugging Face",
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      "tagline": "LM Evaluation Harness 是一个开源的大模型评测框架，能在本地模型上跑 MMLU 等标准基准。",
      "license": "MIT",
      "platforms": [
        "web",
        "cli"
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      "installLevel": 4,
      "availability": "free",
      "domains": [
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      "author": "EleutherAI",
      "sourceUrl": "https://github.com/EleutherAI/lm-evaluation-harness",
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      "availableLangs": [
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      "license": "专有（提供免费额度）",
      "platforms": [
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      "installLevel": 1,
      "availability": "freemium",
      "domains": [
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      "author": "Zhipu AI",
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      "aiVerified": false,
      "availableLangs": [
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      "license": "见官方条款",
      "platforms": [
        "web"
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      "installLevel": 1,
      "availability": "free",
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      "platforms": [
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        "selfhost",
        "windows",
        "macos",
        "linux"
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      "availability": "free",
      "domains": [
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      "author": "GraphiteEditor",
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      "availableLangs": [
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        "linux",
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      "availability": "open-weights",
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      "contextLength": "128K",
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        "vramComfortGB": 10,
        "ramMinGB": 8,
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      "author": "阿里云通义千问（Qwen）",
      "sourceUrl": "https://github.com/QwenLM/Qwen2.5",
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      "category": "embodied",
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      "tagline": "把零件清单、图纸、控制器代码全部公开的开源人形机器人。",
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      "platforms": [
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      "installLevel": 1,
      "availability": "free",
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      "tagline": "一块几十元的开发板 + 开源固件，就能做出会说话的小桌面宠物。",
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      "platforms": [
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      "installLevel": 1,
      "availability": "free",
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    {
      "slug": "fzf",
      "name": "fzf",
      "section": "works",
      "category": "coding",
      "schemaType": "SoftwareApplication",
      "tagline": "终端里按几下键就能搜到任何历史命令和文件。",
      "license": "MIT",
      "platforms": [
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        "macos",
        "linux",
        "cli"
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      "installLevel": 3,
      "availability": "free",
      "domains": [
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      "author": "junegunn",
      "sourceUrl": "https://github.com/junegunn/fzf",
      "verified": true,
      "aiVerified": false,
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    {
      "slug": "chatgpt",
      "name": "ChatGPT",
      "section": "tools",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "打开网页就能用的对话 AI，不用装任何东西。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web",
        "ios",
        "android"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
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      "author": "OpenAI",
      "sourceUrl": "https://chatgpt.com",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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      "slug": "t-vllm",
      "name": "vLLM",
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      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "vLLM 是一个开源的高吞吐推理引擎，自己部署开源模型服务时的首选。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
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      "installLevel": 4,
      "availability": "free",
      "domains": [
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      "author": "vLLM Project",
      "sourceUrl": "https://github.com/vllm-project/vllm",
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      "slug": "t-typst",
      "name": "Typst",
      "section": "tools",
      "category": "office",
      "schemaType": "SoftwareApplication",
      "tagline": "Typst 是一个开源的新一代排版系统，语法比 LaTeX 简洁、编译极快，写论文更快。",
      "license": "Apache-2.0",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "science"
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      "author": "Typst",
      "sourceUrl": "https://github.com/typst/typst",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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    {
      "slug": "t-whisper-asr",
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      "section": "tools",
      "category": "audio-video",
      "schemaType": "SoftwareApplication",
      "tagline": "OpenAI Whisper 是一个OpenAI 官方语音识别模型，转录准、支持多语言。",
      "license": "MIT",
      "platforms": [
        "web",
        "cli"
      ],
      "installLevel": 4,
      "availability": "open-weights",
      "domains": [],
      "author": "OpenAI",
      "sourceUrl": "https://github.com/openai/whisper",
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      "section": "learn",
      "category": "notes",
      "schemaType": "Article",
      "tagline": "Ahead of AI 是一个把大模型原理拆成可读章节的作者通讯。",
      "license": "见官方条款",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": null,
      "domains": [],
      "author": "Sebastian Raschka",
      "sourceUrl": "https://magazine.sebastianraschka.com/",
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      "slug": "t-semantic-scholar",
      "name": "Semantic Scholar",
      "section": "tools",
      "category": "search",
      "schemaType": "SoftwareApplication",
      "tagline": "Semantic Scholar 是一个带摘要与引用图谱的学术搜索引擎，找相关论文比关键词搜索快。",
      "license": "专有（提供免费额度）",
      "platforms": [
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      "installLevel": 2,
      "availability": "free",
      "domains": [
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      "author": "AI2",
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      "slug": "t-whisper-cpp-tool",
      "name": "whisper.cpp",
      "section": "tools",
      "category": "audio-video",
      "schemaType": "SoftwareApplication",
      "tagline": "whisper.cpp 是一个Whisper 的 C/C++ 高性能版，普通 CPU 也能离线转写。",
      "license": "MIT",
      "platforms": [
        "web",
        "cli"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [],
      "author": "ggml-org",
      "sourceUrl": "https://github.com/ggerganov/whisper.cpp",
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      "aiVerified": false,
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      "slug": "t-stable-diffusion-webui",
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      "section": "tools",
      "category": "image",
      "schemaType": "SoftwareApplication",
      "tagline": "Stable Diffusion web UI 是一个最经典的开源 AI 绘图界面，装上就能本地生图，能。",
      "license": "AGPL-3.0",
      "platforms": [
        "web",
        "cli"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
        "art-design"
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      "author": "AUTOMATIC1111",
      "sourceUrl": "https://github.com/AUTOMATIC1111/stable-diffusion-webui",
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      "aiVerified": false,
      "availableLangs": [
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      "slug": "t-stable-audio",
      "name": "Stable Audio",
      "section": "tools",
      "category": "audio-video",
      "schemaType": "SoftwareApplication",
      "tagline": "Stable Audio 是一个 Stability AI 的音频生成服务，能生成音乐与音效等短音频素材。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
        "art-design"
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      "author": "Stability AI",
      "sourceUrl": "https://stableaudio.com/",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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      "section": "tools",
      "category": "image",
      "schemaType": "SoftwareApplication",
      "tagline": "Stability AI 是一个 Stable Diffusion 系列的官方出品方，模型与商用授权条款在官网查。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "freemium",
      "domains": [
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      "author": "Stability AI",
      "sourceUrl": "https://stability.ai/",
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      "slug": "t-presidio",
      "name": "Presidio",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "自动找出并抹掉文本里的姓名、电话、证件号等敏感信息。",
      "license": "MIT",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "cli"
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      "installLevel": 4,
      "availability": "free",
      "domains": [
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        "healthcare"
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      "author": "data-privacy-stack",
      "sourceUrl": "https://github.com/data-privacy-stack/presidio",
      "verified": true,
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      "availableLangs": [
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    {
      "slug": "t-accessibility-insights",
      "name": "Accessibility Insights for Web",
      "section": "tools",
      "category": "devtools",
      "schemaType": "SoftwareApplication",
      "tagline": "在浏览器里点一下，就把网页的无障碍问题一条条指给你看。",
      "license": "MIT",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "free",
      "domains": [
        "accessibility"
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      "author": "Microsoft",
      "sourceUrl": "https://github.com/microsoft/accessibility-insights-web",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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    },
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      "slug": "t-ollama-models",
      "name": "Ollama Library",
      "section": "tools",
      "category": "model",
      "schemaType": "WebApplication",
      "tagline": "Ollama Library 是一个本地模型运行时的官方模型库，命名规范，拉取即用。",
      "license": "见各模型页许可标注",
      "platforms": [
        "web"
      ],
      "installLevel": 4,
      "availability": "open-weights",
      "domains": [],
      "author": "Ollama",
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      "slug": "t-cline",
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      "section": "tools",
      "category": "coding",
      "schemaType": "SoftwareApplication",
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      "license": "Apache-2.0",
      "platforms": [
        "web"
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      "installLevel": 4,
      "availability": "free",
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      "slug": "t-comfyui",
      "name": "ComfyUI",
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      "category": "image",
      "schemaType": "SoftwareApplication",
      "tagline": "ComfyUI 是一个节点式绘图工作流，能复现、能分享、能做复杂流水线。",
      "license": "GPL-3.0",
      "platforms": [
        "web"
      ],
      "installLevel": 4,
      "availability": "free",
      "domains": [
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      "slug": "t-lm-studio",
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      "section": "tools",
      "category": "model",
      "schemaType": "WebApplication",
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      "license": "专有（提供免费额度）",
      "platforms": [
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      "installLevel": 2,
      "availability": "free",
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      "slug": "t-cursor",
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      "category": "coding",
      "schemaType": "SoftwareApplication",
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      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
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      "installLevel": 1,
      "availability": "freemium",
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      "schemaType": "SoftwareApplication",
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      "license": "Apache-2.0",
      "platforms": [
        "web"
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      "installLevel": 4,
      "availability": "free",
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      "category": "tutorial",
      "schemaType": "HowTo",
      "tagline": "MCP Quickstart 是一个 MCP 官方快速上手教程，跟着写个 Server。",
      "license": "MIT",
      "platforms": [
        "web"
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      "installLevel": 1,
      "availability": null,
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      "author": "Anthropic",
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      "section": "tools",
      "category": "search",
      "schemaType": "SoftwareApplication",
      "tagline": "arXiv 是一个预印本论文的公开仓库，AI 等领域的新成果基本都先在这里首发。",
      "license": "专有（提供免费额度）",
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      "author": "Cornell",
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      "category": "models",
      "schemaType": "WebApplication",
      "tagline": "需要 48GB 级显存的大家伙：本地能力的天花板之一。",
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      "schemaType": "WebApplication",
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      "category": "productivity",
      "schemaType": "SoftwareApplication",
      "tagline": "手机和电脑互传文件，不用数据线、不装厂商全家桶。",
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      "slug": "l-lilian-weng",
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      "category": "notes",
      "schemaType": "Article",
      "tagline": "Lil’Log 是一个把复杂论文讲清楚的博客，理解原理的捷径。",
      "license": "见官方条款",
      "platforms": [
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      "category": "tutorial",
      "schemaType": "HowTo",
      "tagline": "Hugging Face Course 是一个从零学 transformers 的官方课程，配套可运行代码。",
      "license": "见官方条款",
      "platforms": [
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      "installLevel": 1,
      "availability": null,
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      "author": "Hugging Face",
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      "aiVerified": false,
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      "slug": "kimi",
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      "section": "tools",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "中文长文档丢进去，直接问它要结论。",
      "license": "专有（提供免费额度）",
      "platforms": [
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        "android"
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      "availability": "freemium",
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      "author": "月之暗面 Moonshot AI",
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      "name": "OpenRouter",
      "section": "tools",
      "category": "model",
      "schemaType": "WebApplication",
      "tagline": "OpenRouter 是一个模型聚合网关，一个 API Key 调几十家模型，方便横向比价与换模型。",
      "license": "专有（提供免费额度）",
      "platforms": [
        "web"
      ],
      "installLevel": 1,
      "availability": "paid",
      "domains": [],
      "author": "OpenRouter",
      "sourceUrl": "https://openrouter.ai/",
      "verified": true,
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      "slug": "l-genai-for-beginners",
      "name": "Generative AI for Beginners",
      "section": "learn",
      "category": "tutorial",
      "schemaType": "HowTo",
      "tagline": "Generative AI for Beginners 是微软的生成式 AI 入门课，能系统学提示工程与 RAG。",
      "license": "MIT",
      "platforms": [
        "web"
      ],
      "installLevel": 2,
      "availability": "free",
      "domains": [
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      "sourceUrl": "https://github.com/microsoft/generative-ai-for-beginners",
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      "aiVerified": false,
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    },
    {
      "slug": "ollama",
      "name": "Ollama",
      "section": "works",
      "category": "assistant",
      "schemaType": "SoftwareApplication",
      "tagline": "一条命令在电脑上跑大模型，聊天数据不出本机。",
      "license": "MIT",
      "platforms": [
        "windows",
        "macos",
        "linux",
        "cli"
      ],
      "installLevel": 3,
      "availability": "free",
      "domains": [
        "science"
      ],
      "author": "ollama",
      "sourceUrl": "https://ollama.com",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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      ],
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    {
      "slug": "t-openmaic",
      "name": "OpenMAIC",
      "section": "tools",
      "category": "infra",
      "schemaType": "WebApplication",
      "tagline": "输入一个主题，AI 多智能体课堂把课件、测验和互动实验一起生成出来。",
      "license": "MIT",
      "platforms": [
        "web",
        "selfhost"
      ],
      "installLevel": 4,
      "availability": "self-host",
      "domains": [
        "education",
        "public-good"
      ],
      "author": "THU-MAIC",
      "sourceUrl": "https://github.com/THU-MAIC/OpenMAIC",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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      ],
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    },
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      "slug": "jellyfin",
      "name": "Jellyfin",
      "section": "works",
      "category": "audio-video",
      "schemaType": "SoftwareApplication",
      "tagline": "自己的影音库，家里所有设备都能看，不交会员费。",
      "license": "GPL-2.0",
      "platforms": [
        "linux",
        "windows",
        "macos",
        "android",
        "ios",
        "selfhost"
      ],
      "installLevel": 5,
      "availability": "self-host",
      "domains": [
        "productivity-org"
      ],
      "author": "Jellyfin",
      "sourceUrl": "https://github.com/jellyfin/jellyfin",
      "verified": true,
      "aiVerified": false,
      "availableLangs": [
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      ],
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}