{
  "schemaVersion": "ai123box.daily-radar.v1",
  "updatedAt": "2026-05-23T20:04:55.942Z",
  "date": "2026-05-23",
  "count": 5948,
  "headline": {
    "en": "Ranked 5948 AI signals today. Strongest signal: News / 融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅.",
    "zh-CN": "今日已排序 5948 条 AI 信号，最高信号来自新闻：融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅。"
  },
  "items": [
    {
      "id": "news-16jiny7",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅",
        "zh-CN": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅"
      },
      "summary_i18n": {
        "en": "DeepSeek Code is Coming",
        "zh-CN": "DeepSeek融资700亿，崔添翼率队推出DeepSeek Code模型。"
      },
      "reason_i18n": {
        "en": "量子位 · impact 10/10 · Models, Business",
        "zh-CN": "量子位 · 重要度 10/10 · Models、Business"
      },
      "url": "https://www.qbitai.com/2026/05/422624.html",
      "page": null,
      "source": "量子位",
      "host": "qbitai.com",
      "score": 95.6,
      "metrics": {
        "importance": 10,
        "weight": 5,
        "lang": "zh"
      },
      "topics": [
        "Models",
        "Business"
      ],
      "publishedAt": "2026-05-22T07:16:39.000Z",
      "updatedAt": "2026-05-22T07:16:39.000Z",
      "rawId": "https://www.qbitai.com/2026/05/422624.html"
    },
    {
      "id": "github-1b2giei",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "openclaw",
        "zh-CN": "openclaw"
      },
      "summary_i18n": {
        "en": "Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞",
        "zh-CN": "个人AI助手，跨平台支持，注重数据自主，适合开发者和科技爱好者使用。"
      },
      "reason_i18n": {
        "en": "374034 stars · TypeScript · rising/classic",
        "zh-CN": "374034 星 · TypeScript · rising/classic"
      },
      "url": "https://github.com/openclaw/openclaw",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 89,
      "metrics": {
        "stars": 374034,
        "forks": 77739,
        "language": "TypeScript",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "assistant",
        "crustacean",
        "molty",
        "openclaw",
        "own-your-data",
        "personal"
      ],
      "publishedAt": "2025-11-24T10:16:47Z",
      "updatedAt": "2026-05-23T05:28:56Z",
      "rawId": "openclaw/openclaw"
    },
    {
      "id": "github-bel94a",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "mempalace",
        "zh-CN": "mempalace"
      },
      "summary_i18n": {
        "en": "The best-benchmarked open-source AI memory system. And it's free.",
        "zh-CN": "基于 Python 的高效 AI 记忆系统，支持 LLM 和 ChromaDB，适合开发者快速构建智能应用。"
      },
      "reason_i18n": {
        "en": "52680 stars · Python · rising/classic",
        "zh-CN": "52680 星 · Python · rising/classic"
      },
      "url": "https://github.com/MemPalace/mempalace",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 89,
      "metrics": {
        "stars": 52680,
        "forks": 6949,
        "language": "Python",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "chromadb",
        "llm",
        "mcp",
        "memory",
        "python"
      ],
      "publishedAt": "2026-04-05T01:12:07Z",
      "updatedAt": "2026-05-23T04:31:40Z",
      "rawId": "MemPalace/mempalace"
    },
    {
      "id": "github-1sa7yv6",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "oh-my-openagent",
        "zh-CN": "oh-my-openagent"
      },
      "summary_i18n": {
        "en": "omo; the best agent harness - previously oh-my-opencode",
        "zh-CN": "基于 TypeScript 的高效 AI 代理框架 支持多模型集成 适合开发者快速构建智能应用"
      },
      "reason_i18n": {
        "en": "59065 stars · TypeScript · rising/classic",
        "zh-CN": "59065 星 · TypeScript · rising/classic"
      },
      "url": "https://github.com/code-yeongyu/oh-my-openagent",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 88.6,
      "metrics": {
        "stars": 59065,
        "forks": 4807,
        "language": "TypeScript",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "ai-agents",
        "amp",
        "anthropic",
        "chatgpt",
        "claude",
        "claude-code",
        "claude-skills"
      ],
      "publishedAt": "2025-12-03T01:40:05Z",
      "updatedAt": "2026-05-23T05:03:55Z",
      "rawId": "code-yeongyu/oh-my-openagent"
    },
    {
      "id": "news-1lcwpeb",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "Trump delays AI security executive order, saying language ‘could have been a blocker’",
        "zh-CN": "特朗普推迟AI安全行政命令，称语言‘可能成为障碍’"
      },
      "summary_i18n": {
        "en": "President Trump delayed signing an executive order that would have required pre-release government security reviews of AI models, citing dissatisfaction with the order's language.",
        "zh-CN": "特朗普推迟签署一项要求对AI模型进行预发布政府安全审查的行政命令，理由是不满该命令的语言表述。"
      },
      "reason_i18n": {
        "en": "TechCrunch · AI · impact 9/10 · Safety",
        "zh-CN": "TechCrunch · AI · 重要度 9/10 · Safety"
      },
      "url": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/",
      "page": null,
      "source": "TechCrunch · AI",
      "host": "techcrunch.com",
      "score": 88.3,
      "metrics": {
        "importance": 9,
        "weight": 4,
        "lang": "en"
      },
      "topics": [
        "Safety"
      ],
      "publishedAt": "2026-05-21T17:30:45.000Z",
      "updatedAt": "2026-05-21T17:30:45.000Z",
      "rawId": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/"
    },
    {
      "id": "models-1tykpad",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "Sulphur-2-base",
        "zh-CN": "Sulphur-2-base"
      },
      "summary_i18n": {
        "en": "Sulphur-2-base is a text-to-video by SulphurAI.",
        "zh-CN": "Sulphur-2-base 是一款基于 LTX 2.3 的文本到视频生成模型支持 t2v 和 i2v 任务具备强大的提示增强能力。"
      },
      "reason_i18n": {
        "en": "文生视频 · 1274 likes · 1249582 downloads",
        "zh-CN": "文生视频 · 1274 喜欢 · 1249582 下载"
      },
      "url": "https://huggingface.co/SulphurAI/Sulphur-2-base",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 88.2,
      "metrics": {
        "likes": 1274,
        "downloads": 1249582,
        "trendingScore": 243,
        "pipeline": "text-to-video"
      },
      "topics": [
        "text-to-video"
      ],
      "publishedAt": "2026-05-03T00:33:24.000Z",
      "updatedAt": "2026-05-22T01:12:13.000Z",
      "rawId": "SulphurAI/Sulphur-2-base"
    },
    {
      "id": "news-1u6xrvr",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "Google’s AI search is so broken it can ‘disregard’ what you’re looking for",
        "zh-CN": "谷歌AI搜索如此故障，甚至会“忽略”你的需求"
      },
      "summary_i18n": {
        "en": "Google's AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term \"disregard,\" the AI Overview section would include a respo…",
        "zh-CN": "谷歌AI摘要目前遇到一个问题，如果搜索“disregard”，AI摘要部分会包含一个回复…"
      },
      "reason_i18n": {
        "en": "The Verge · AI · impact 8/10 · AI",
        "zh-CN": "The Verge · AI · 重要度 8/10 · AI"
      },
      "url": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard",
      "page": null,
      "source": "The Verge · AI",
      "host": "theverge.com",
      "score": 87.7,
      "metrics": {
        "importance": 8,
        "weight": 4,
        "lang": "en"
      },
      "topics": [
        "AI"
      ],
      "publishedAt": "2026-05-22T20:39:54.000Z",
      "updatedAt": "2026-05-22T20:39:54.000Z",
      "rawId": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard"
    },
    {
      "id": "models-39sfo",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "MiniCPM-V-4.6",
        "zh-CN": "MiniCPM-V-4.6"
      },
      "summary_i18n": {
        "en": "MiniCPM-V-4.6 is a image-text-to-text by openbmb.",
        "zh-CN": "面向手机端的轻量级多模态大模型支持图像和视频理解在计算效率和性能上表现优异"
      },
      "reason_i18n": {
        "en": "图文问答 · 多模态 · 906 likes · 221612 downloads",
        "zh-CN": "图文问答 · 多模态 · 906 喜欢 · 221612 下载"
      },
      "url": "https://huggingface.co/openbmb/MiniCPM-V-4.6",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 82.9,
      "metrics": {
        "likes": 906,
        "downloads": 221612,
        "trendingScore": 281,
        "pipeline": "image-text-to-text"
      },
      "topics": [
        "minicpmv4_6",
        "image-text-to-text",
        "minicpm-v",
        "multimodal",
        "On-Device Model",
        "lightweight",
        "arxiv:2604.27393",
        "arxiv:2509.18154"
      ],
      "publishedAt": "2026-04-13T09:12:47.000Z",
      "updatedAt": "2026-05-19T14:01:40.000Z",
      "rawId": "openbmb/MiniCPM-V-4.6"
    },
    {
      "id": "models-1np5cyr",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "HRM-Text-1B",
        "zh-CN": "HRM-Text-1B"
      },
      "summary_i18n": {
        "en": "HRM-Text-1B is a text-generation by sapientinc.",
        "zh-CN": "基于HRM架构的1B参数语言模型，具备分层推理能力，适用于文本生成任务，适合进行进一步对齐优化。"
      },
      "reason_i18n": {
        "en": "文本生成 · LLM · 246 likes · 72470 downloads",
        "zh-CN": "文本生成 · LLM · 246 喜欢 · 72470 下载"
      },
      "url": "https://huggingface.co/sapientinc/HRM-Text-1B",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 82.6,
      "metrics": {
        "likes": 246,
        "downloads": 72470,
        "trendingScore": 243,
        "pipeline": "text-generation"
      },
      "topics": [
        "hrm_text",
        "text-generation",
        "hrm",
        "hierarchical-reasoning",
        "prefix-lm",
        "pre-alignment",
        "non-chat",
        "non-instruction-tuned"
      ],
      "publishedAt": "2026-05-17T15:13:02.000Z",
      "updatedAt": "2026-05-21T05:57:38.000Z",
      "rawId": "sapientinc/HRM-Text-1B"
    },
    {
      "id": "tools-qiarow",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/devin-ai",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Devin",
        "zh-CN": "Devin"
      },
      "summary_i18n": {
        "en": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务",
        "zh-CN": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.5 rating · hot",
        "zh-CN": "AI Agent · 评分 4.5 · 热门"
      },
      "url": "https://devin.ai",
      "page": "https://ai123box.com/tool/devin-ai",
      "source": "AI Agent",
      "host": "devin.ai",
      "score": 79.4,
      "metrics": {
        "rating": 4.5,
        "hot": true,
        "isNew": true,
        "users": null
      },
      "topics": [
        "agent",
        "coding",
        "autonomous"
      ],
      "publishedAt": "2026-04-09",
      "updatedAt": "2026-04-09",
      "rawId": "devin-ai"
    },
    {
      "id": "tools-2vwe9t",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/manus",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Manus",
        "zh-CN": "Manus"
      },
      "summary_i18n": {
        "en": "通用 AI Agent，可自主完成复杂的现实世界任务",
        "zh-CN": "通用 AI Agent，可自主完成复杂的现实世界任务"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.5 rating · hot",
        "zh-CN": "AI Agent · 评分 4.5 · 热门"
      },
      "url": "https://manus.im",
      "page": "https://ai123box.com/tool/manus",
      "source": "AI Agent",
      "host": "manus.im",
      "score": 79.4,
      "metrics": {
        "rating": 4.5,
        "hot": true,
        "isNew": true,
        "users": "500K+"
      },
      "topics": [
        "通用Agent",
        "自主",
        "多模态"
      ],
      "publishedAt": "2026-04-08",
      "updatedAt": "2026-04-08",
      "rawId": "manus"
    },
    {
      "id": "tools-1xe3t8n",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/browser-use",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Browser Use",
        "zh-CN": "Browser Use"
      },
      "summary_i18n": {
        "en": "让 AI Agent 像人一样操控浏览器",
        "zh-CN": "让 AI Agent 像人一样操控浏览器"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.4 rating · hot",
        "zh-CN": "AI Agent · 评分 4.4 · 热门"
      },
      "url": "https://github.com/browser-use/browser-use",
      "page": "https://ai123box.com/tool/browser-use",
      "source": "AI Agent",
      "host": "github.com",
      "score": 78.7,
      "metrics": {
        "rating": 4.4,
        "hot": true,
        "isNew": true,
        "users": null
      },
      "topics": [
        "agent",
        "browser",
        "automation"
      ],
      "publishedAt": "2026-04-09",
      "updatedAt": "2026-04-09",
      "rawId": "browser-use"
    },
    {
      "id": "papers-ws6s7z",
      "sectionId": "papers",
      "kind": "papers",
      "kindLabel": {
        "en": "Papers",
        "zh-CN": "论文"
      },
      "route": "/papers",
      "accent": "#6366f1",
      "title_i18n": {
        "en": "AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration",
        "zh-CN": "AutoResearchClaw：基于人类-AI协作的自增强自主研究"
      },
      "summary_i18n": {
        "en": "AutoResearchClaw is a multi-agent autonomous research system that improves scientific discovery through structured debate, self-healing execution, verifiable reporting, human collaboration, and evolutionary learning, outperforming previous systems on a benchm…",
        "zh-CN": "通过结构化辩论和进化学习提升科学发现，优于现有系统并保持人类监督"
      },
      "reason_i18n": {
        "en": "115 HF votes · 12503 GitHub stars",
        "zh-CN": "HF 115 赞 · GitHub 12503 星"
      },
      "url": "https://huggingface.co/papers/2605.20025",
      "page": null,
      "source": "HF Daily Papers",
      "host": "huggingface.co",
      "score": 71.7,
      "metrics": {
        "upvotes": 115,
        "comments": 1,
        "githubStars": 12503
      },
      "topics": [
        "multi-agent autonomous research",
        "structured multi-agent debate",
        "self-healing executor",
        "\\textsc{Pivot}/\\textsc{Refine} decision loop",
        "verifiable result reporting",
        "human-in-the-loop collaboration"
      ],
      "publishedAt": "2026-05-20T00:00:00.000Z",
      "updatedAt": "2026-05-20T00:00:00.000Z",
      "rawId": "2605.20025"
    },
    {
      "id": "startups-1qazeic",
      "sectionId": "startups",
      "kind": "startups",
      "kindLabel": {
        "en": "Startups",
        "zh-CN": "公司"
      },
      "route": "/startups",
      "accent": "#f97316",
      "title_i18n": {
        "en": "Ara",
        "zh-CN": "Ara"
      },
      "summary_i18n": {
        "en": "personal ai cloud computing for everyone",
        "zh-CN": "personal ai cloud computing for everyone"
      },
      "reason_i18n": {
        "en": "infra · 已融资 · San Francisco, USA",
        "zh-CN": "infra · 已融资 · San Francisco, USA"
      },
      "url": "https://ara.so",
      "page": null,
      "source": "YC",
      "host": "ara.so",
      "score": 65,
      "metrics": {
        "track": "infra",
        "stage": "已融资",
        "year": 2026
      },
      "topics": [
        "infra",
        "已融资",
        "San Francisco, USA"
      ],
      "publishedAt": "2026-01-01T00:00:00.000Z",
      "updatedAt": "2026-01-01T00:00:00.000Z",
      "rawId": "https://ara.so"
    }
  ],
  "top": [
    {
      "id": "news-16jiny7",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅",
        "zh-CN": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅"
      },
      "summary_i18n": {
        "en": "DeepSeek Code is Coming",
        "zh-CN": "DeepSeek融资700亿，崔添翼率队推出DeepSeek Code模型。"
      },
      "reason_i18n": {
        "en": "量子位 · impact 10/10 · Models, Business",
        "zh-CN": "量子位 · 重要度 10/10 · Models、Business"
      },
      "url": "https://www.qbitai.com/2026/05/422624.html",
      "page": null,
      "source": "量子位",
      "host": "qbitai.com",
      "score": 95.6,
      "metrics": {
        "importance": 10,
        "weight": 5,
        "lang": "zh"
      },
      "topics": [
        "Models",
        "Business"
      ],
      "publishedAt": "2026-05-22T07:16:39.000Z",
      "updatedAt": "2026-05-22T07:16:39.000Z",
      "rawId": "https://www.qbitai.com/2026/05/422624.html"
    },
    {
      "id": "github-1b2giei",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "openclaw",
        "zh-CN": "openclaw"
      },
      "summary_i18n": {
        "en": "Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞",
        "zh-CN": "个人AI助手，跨平台支持，注重数据自主，适合开发者和科技爱好者使用。"
      },
      "reason_i18n": {
        "en": "374034 stars · TypeScript · rising/classic",
        "zh-CN": "374034 星 · TypeScript · rising/classic"
      },
      "url": "https://github.com/openclaw/openclaw",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 89,
      "metrics": {
        "stars": 374034,
        "forks": 77739,
        "language": "TypeScript",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "assistant",
        "crustacean",
        "molty",
        "openclaw",
        "own-your-data",
        "personal"
      ],
      "publishedAt": "2025-11-24T10:16:47Z",
      "updatedAt": "2026-05-23T05:28:56Z",
      "rawId": "openclaw/openclaw"
    },
    {
      "id": "github-bel94a",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "mempalace",
        "zh-CN": "mempalace"
      },
      "summary_i18n": {
        "en": "The best-benchmarked open-source AI memory system. And it's free.",
        "zh-CN": "基于 Python 的高效 AI 记忆系统，支持 LLM 和 ChromaDB，适合开发者快速构建智能应用。"
      },
      "reason_i18n": {
        "en": "52680 stars · Python · rising/classic",
        "zh-CN": "52680 星 · Python · rising/classic"
      },
      "url": "https://github.com/MemPalace/mempalace",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 89,
      "metrics": {
        "stars": 52680,
        "forks": 6949,
        "language": "Python",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "chromadb",
        "llm",
        "mcp",
        "memory",
        "python"
      ],
      "publishedAt": "2026-04-05T01:12:07Z",
      "updatedAt": "2026-05-23T04:31:40Z",
      "rawId": "MemPalace/mempalace"
    },
    {
      "id": "github-1sa7yv6",
      "sectionId": "github",
      "kind": "github",
      "kindLabel": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "title_i18n": {
        "en": "oh-my-openagent",
        "zh-CN": "oh-my-openagent"
      },
      "summary_i18n": {
        "en": "omo; the best agent harness - previously oh-my-opencode",
        "zh-CN": "基于 TypeScript 的高效 AI 代理框架 支持多模型集成 适合开发者快速构建智能应用"
      },
      "reason_i18n": {
        "en": "59065 stars · TypeScript · rising/classic",
        "zh-CN": "59065 星 · TypeScript · rising/classic"
      },
      "url": "https://github.com/code-yeongyu/oh-my-openagent",
      "page": null,
      "source": "GitHub",
      "host": "github.com",
      "score": 88.6,
      "metrics": {
        "stars": 59065,
        "forks": 4807,
        "language": "TypeScript",
        "badges": [
          "rising",
          "classic",
          "hot"
        ]
      },
      "topics": [
        "ai",
        "ai-agents",
        "amp",
        "anthropic",
        "chatgpt",
        "claude",
        "claude-code",
        "claude-skills"
      ],
      "publishedAt": "2025-12-03T01:40:05Z",
      "updatedAt": "2026-05-23T05:03:55Z",
      "rawId": "code-yeongyu/oh-my-openagent"
    },
    {
      "id": "news-1lcwpeb",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "Trump delays AI security executive order, saying language ‘could have been a blocker’",
        "zh-CN": "特朗普推迟AI安全行政命令，称语言‘可能成为障碍’"
      },
      "summary_i18n": {
        "en": "President Trump delayed signing an executive order that would have required pre-release government security reviews of AI models, citing dissatisfaction with the order's language.",
        "zh-CN": "特朗普推迟签署一项要求对AI模型进行预发布政府安全审查的行政命令，理由是不满该命令的语言表述。"
      },
      "reason_i18n": {
        "en": "TechCrunch · AI · impact 9/10 · Safety",
        "zh-CN": "TechCrunch · AI · 重要度 9/10 · Safety"
      },
      "url": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/",
      "page": null,
      "source": "TechCrunch · AI",
      "host": "techcrunch.com",
      "score": 88.3,
      "metrics": {
        "importance": 9,
        "weight": 4,
        "lang": "en"
      },
      "topics": [
        "Safety"
      ],
      "publishedAt": "2026-05-21T17:30:45.000Z",
      "updatedAt": "2026-05-21T17:30:45.000Z",
      "rawId": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/"
    },
    {
      "id": "models-1tykpad",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "Sulphur-2-base",
        "zh-CN": "Sulphur-2-base"
      },
      "summary_i18n": {
        "en": "Sulphur-2-base is a text-to-video by SulphurAI.",
        "zh-CN": "Sulphur-2-base 是一款基于 LTX 2.3 的文本到视频生成模型支持 t2v 和 i2v 任务具备强大的提示增强能力。"
      },
      "reason_i18n": {
        "en": "文生视频 · 1274 likes · 1249582 downloads",
        "zh-CN": "文生视频 · 1274 喜欢 · 1249582 下载"
      },
      "url": "https://huggingface.co/SulphurAI/Sulphur-2-base",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 88.2,
      "metrics": {
        "likes": 1274,
        "downloads": 1249582,
        "trendingScore": 243,
        "pipeline": "text-to-video"
      },
      "topics": [
        "text-to-video"
      ],
      "publishedAt": "2026-05-03T00:33:24.000Z",
      "updatedAt": "2026-05-22T01:12:13.000Z",
      "rawId": "SulphurAI/Sulphur-2-base"
    },
    {
      "id": "news-1u6xrvr",
      "sectionId": "news",
      "kind": "news",
      "kindLabel": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "title_i18n": {
        "en": "Google’s AI search is so broken it can ‘disregard’ what you’re looking for",
        "zh-CN": "谷歌AI搜索如此故障，甚至会“忽略”你的需求"
      },
      "summary_i18n": {
        "en": "Google's AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term \"disregard,\" the AI Overview section would include a respo…",
        "zh-CN": "谷歌AI摘要目前遇到一个问题，如果搜索“disregard”，AI摘要部分会包含一个回复…"
      },
      "reason_i18n": {
        "en": "The Verge · AI · impact 8/10 · AI",
        "zh-CN": "The Verge · AI · 重要度 8/10 · AI"
      },
      "url": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard",
      "page": null,
      "source": "The Verge · AI",
      "host": "theverge.com",
      "score": 87.7,
      "metrics": {
        "importance": 8,
        "weight": 4,
        "lang": "en"
      },
      "topics": [
        "AI"
      ],
      "publishedAt": "2026-05-22T20:39:54.000Z",
      "updatedAt": "2026-05-22T20:39:54.000Z",
      "rawId": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard"
    },
    {
      "id": "models-39sfo",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "MiniCPM-V-4.6",
        "zh-CN": "MiniCPM-V-4.6"
      },
      "summary_i18n": {
        "en": "MiniCPM-V-4.6 is a image-text-to-text by openbmb.",
        "zh-CN": "面向手机端的轻量级多模态大模型支持图像和视频理解在计算效率和性能上表现优异"
      },
      "reason_i18n": {
        "en": "图文问答 · 多模态 · 906 likes · 221612 downloads",
        "zh-CN": "图文问答 · 多模态 · 906 喜欢 · 221612 下载"
      },
      "url": "https://huggingface.co/openbmb/MiniCPM-V-4.6",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 82.9,
      "metrics": {
        "likes": 906,
        "downloads": 221612,
        "trendingScore": 281,
        "pipeline": "image-text-to-text"
      },
      "topics": [
        "minicpmv4_6",
        "image-text-to-text",
        "minicpm-v",
        "multimodal",
        "On-Device Model",
        "lightweight",
        "arxiv:2604.27393",
        "arxiv:2509.18154"
      ],
      "publishedAt": "2026-04-13T09:12:47.000Z",
      "updatedAt": "2026-05-19T14:01:40.000Z",
      "rawId": "openbmb/MiniCPM-V-4.6"
    },
    {
      "id": "models-1np5cyr",
      "sectionId": "models",
      "kind": "models",
      "kindLabel": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "title_i18n": {
        "en": "HRM-Text-1B",
        "zh-CN": "HRM-Text-1B"
      },
      "summary_i18n": {
        "en": "HRM-Text-1B is a text-generation by sapientinc.",
        "zh-CN": "基于HRM架构的1B参数语言模型，具备分层推理能力，适用于文本生成任务，适合进行进一步对齐优化。"
      },
      "reason_i18n": {
        "en": "文本生成 · LLM · 246 likes · 72470 downloads",
        "zh-CN": "文本生成 · LLM · 246 喜欢 · 72470 下载"
      },
      "url": "https://huggingface.co/sapientinc/HRM-Text-1B",
      "page": null,
      "source": "HF Trending",
      "host": "huggingface.co",
      "score": 82.6,
      "metrics": {
        "likes": 246,
        "downloads": 72470,
        "trendingScore": 243,
        "pipeline": "text-generation"
      },
      "topics": [
        "hrm_text",
        "text-generation",
        "hrm",
        "hierarchical-reasoning",
        "prefix-lm",
        "pre-alignment",
        "non-chat",
        "non-instruction-tuned"
      ],
      "publishedAt": "2026-05-17T15:13:02.000Z",
      "updatedAt": "2026-05-21T05:57:38.000Z",
      "rawId": "sapientinc/HRM-Text-1B"
    },
    {
      "id": "tools-qiarow",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/devin-ai",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Devin",
        "zh-CN": "Devin"
      },
      "summary_i18n": {
        "en": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务",
        "zh-CN": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.5 rating · hot",
        "zh-CN": "AI Agent · 评分 4.5 · 热门"
      },
      "url": "https://devin.ai",
      "page": "https://ai123box.com/tool/devin-ai",
      "source": "AI Agent",
      "host": "devin.ai",
      "score": 79.4,
      "metrics": {
        "rating": 4.5,
        "hot": true,
        "isNew": true,
        "users": null
      },
      "topics": [
        "agent",
        "coding",
        "autonomous"
      ],
      "publishedAt": "2026-04-09",
      "updatedAt": "2026-04-09",
      "rawId": "devin-ai"
    },
    {
      "id": "tools-2vwe9t",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/manus",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Manus",
        "zh-CN": "Manus"
      },
      "summary_i18n": {
        "en": "通用 AI Agent，可自主完成复杂的现实世界任务",
        "zh-CN": "通用 AI Agent，可自主完成复杂的现实世界任务"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.5 rating · hot",
        "zh-CN": "AI Agent · 评分 4.5 · 热门"
      },
      "url": "https://manus.im",
      "page": "https://ai123box.com/tool/manus",
      "source": "AI Agent",
      "host": "manus.im",
      "score": 79.4,
      "metrics": {
        "rating": 4.5,
        "hot": true,
        "isNew": true,
        "users": "500K+"
      },
      "topics": [
        "通用Agent",
        "自主",
        "多模态"
      ],
      "publishedAt": "2026-04-08",
      "updatedAt": "2026-04-08",
      "rawId": "manus"
    },
    {
      "id": "tools-1xe3t8n",
      "sectionId": "tools",
      "kind": "tools",
      "kindLabel": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/tool/browser-use",
      "accent": "#2563eb",
      "title_i18n": {
        "en": "Browser Use",
        "zh-CN": "Browser Use"
      },
      "summary_i18n": {
        "en": "让 AI Agent 像人一样操控浏览器",
        "zh-CN": "让 AI Agent 像人一样操控浏览器"
      },
      "reason_i18n": {
        "en": "AI Agent · 4.4 rating · hot",
        "zh-CN": "AI Agent · 评分 4.4 · 热门"
      },
      "url": "https://github.com/browser-use/browser-use",
      "page": "https://ai123box.com/tool/browser-use",
      "source": "AI Agent",
      "host": "github.com",
      "score": 78.7,
      "metrics": {
        "rating": 4.4,
        "hot": true,
        "isNew": true,
        "users": null
      },
      "topics": [
        "agent",
        "browser",
        "automation"
      ],
      "publishedAt": "2026-04-09",
      "updatedAt": "2026-04-09",
      "rawId": "browser-use"
    },
    {
      "id": "papers-ws6s7z",
      "sectionId": "papers",
      "kind": "papers",
      "kindLabel": {
        "en": "Papers",
        "zh-CN": "论文"
      },
      "route": "/papers",
      "accent": "#6366f1",
      "title_i18n": {
        "en": "AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration",
        "zh-CN": "AutoResearchClaw：基于人类-AI协作的自增强自主研究"
      },
      "summary_i18n": {
        "en": "AutoResearchClaw is a multi-agent autonomous research system that improves scientific discovery through structured debate, self-healing execution, verifiable reporting, human collaboration, and evolutionary learning, outperforming previous systems on a benchm…",
        "zh-CN": "通过结构化辩论和进化学习提升科学发现，优于现有系统并保持人类监督"
      },
      "reason_i18n": {
        "en": "115 HF votes · 12503 GitHub stars",
        "zh-CN": "HF 115 赞 · GitHub 12503 星"
      },
      "url": "https://huggingface.co/papers/2605.20025",
      "page": null,
      "source": "HF Daily Papers",
      "host": "huggingface.co",
      "score": 71.7,
      "metrics": {
        "upvotes": 115,
        "comments": 1,
        "githubStars": 12503
      },
      "topics": [
        "multi-agent autonomous research",
        "structured multi-agent debate",
        "self-healing executor",
        "\\textsc{Pivot}/\\textsc{Refine} decision loop",
        "verifiable result reporting",
        "human-in-the-loop collaboration"
      ],
      "publishedAt": "2026-05-20T00:00:00.000Z",
      "updatedAt": "2026-05-20T00:00:00.000Z",
      "rawId": "2605.20025"
    },
    {
      "id": "startups-1qazeic",
      "sectionId": "startups",
      "kind": "startups",
      "kindLabel": {
        "en": "Startups",
        "zh-CN": "公司"
      },
      "route": "/startups",
      "accent": "#f97316",
      "title_i18n": {
        "en": "Ara",
        "zh-CN": "Ara"
      },
      "summary_i18n": {
        "en": "personal ai cloud computing for everyone",
        "zh-CN": "personal ai cloud computing for everyone"
      },
      "reason_i18n": {
        "en": "infra · 已融资 · San Francisco, USA",
        "zh-CN": "infra · 已融资 · San Francisco, USA"
      },
      "url": "https://ara.so",
      "page": null,
      "source": "YC",
      "host": "ara.so",
      "score": 65,
      "metrics": {
        "track": "infra",
        "stage": "已融资",
        "year": 2026
      },
      "topics": [
        "infra",
        "已融资",
        "San Francisco, USA"
      ],
      "publishedAt": "2026-01-01T00:00:00.000Z",
      "updatedAt": "2026-01-01T00:00:00.000Z",
      "rawId": "https://ara.so"
    }
  ],
  "sections": [
    {
      "id": "news",
      "title": {
        "en": "News",
        "zh-CN": "新闻"
      },
      "route": "/ai-news",
      "accent": "#ef4444",
      "count": 50,
      "sourceUpdatedAt": "2026-05-23T05:37:25.690Z",
      "items": [
        {
          "id": "news-16jiny7",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅",
            "zh-CN": "融资700亿！DeepSeek Code真要来了，ACM金牌大神崔添翼挂帅"
          },
          "summary_i18n": {
            "en": "DeepSeek Code is Coming",
            "zh-CN": "DeepSeek融资700亿，崔添翼率队推出DeepSeek Code模型。"
          },
          "reason_i18n": {
            "en": "量子位 · impact 10/10 · Models, Business",
            "zh-CN": "量子位 · 重要度 10/10 · Models、Business"
          },
          "url": "https://www.qbitai.com/2026/05/422624.html",
          "page": null,
          "source": "量子位",
          "host": "qbitai.com",
          "score": 95.6,
          "metrics": {
            "importance": 10,
            "weight": 5,
            "lang": "zh"
          },
          "topics": [
            "Models",
            "Business"
          ],
          "publishedAt": "2026-05-22T07:16:39.000Z",
          "updatedAt": "2026-05-22T07:16:39.000Z",
          "rawId": "https://www.qbitai.com/2026/05/422624.html"
        },
        {
          "id": "news-1lcwpeb",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Trump delays AI security executive order, saying language ‘could have been a blocker’",
            "zh-CN": "特朗普推迟AI安全行政命令，称语言‘可能成为障碍’"
          },
          "summary_i18n": {
            "en": "President Trump delayed signing an executive order that would have required pre-release government security reviews of AI models, citing dissatisfaction with the order's language.",
            "zh-CN": "特朗普推迟签署一项要求对AI模型进行预发布政府安全审查的行政命令，理由是不满该命令的语言表述。"
          },
          "reason_i18n": {
            "en": "TechCrunch · AI · impact 9/10 · Safety",
            "zh-CN": "TechCrunch · AI · 重要度 9/10 · Safety"
          },
          "url": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/",
          "page": null,
          "source": "TechCrunch · AI",
          "host": "techcrunch.com",
          "score": 88.3,
          "metrics": {
            "importance": 9,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Safety"
          ],
          "publishedAt": "2026-05-21T17:30:45.000Z",
          "updatedAt": "2026-05-21T17:30:45.000Z",
          "rawId": "https://techcrunch.com/2026/05/21/trump-delays-ai-security-executive-order-i-dont-want-to-get-in-the-way-of-that-leading/"
        },
        {
          "id": "news-1u6xrvr",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Google’s AI search is so broken it can ‘disregard’ what you’re looking for",
            "zh-CN": "谷歌AI搜索如此故障，甚至会“忽略”你的需求"
          },
          "summary_i18n": {
            "en": "Google's AI Overviews are running into an interesting problem right now. Earlier on Friday, if you searched for the term \"disregard,\" the AI Overview section would include a respo…",
            "zh-CN": "谷歌AI摘要目前遇到一个问题，如果搜索“disregard”，AI摘要部分会包含一个回复…"
          },
          "reason_i18n": {
            "en": "The Verge · AI · impact 8/10 · AI",
            "zh-CN": "The Verge · AI · 重要度 8/10 · AI"
          },
          "url": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard",
          "page": null,
          "source": "The Verge · AI",
          "host": "theverge.com",
          "score": 87.7,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "AI"
          ],
          "publishedAt": "2026-05-22T20:39:54.000Z",
          "updatedAt": "2026-05-22T20:39:54.000Z",
          "rawId": "https://www.theverge.com/tech/936176/google-ai-overviews-search-disregard"
        },
        {
          "id": "news-1tm0orh",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "狂揽F轮融资+拿下4100万用户！深圳玩家出手，把企业旧系统变成AI能力库",
            "zh-CN": "狂揽F轮融资+拿下4100万用户！深圳玩家出手，把企业旧系统变成AI能力库"
          },
          "summary_i18n": {
            "en": "一个AI统一入口，搞定所有",
            "zh-CN": "深圳企业完成F轮融资，将旧系统转化为AI能力库，用户达4100万。"
          },
          "reason_i18n": {
            "en": "量子位 · impact 8/10 · Business",
            "zh-CN": "量子位 · 重要度 8/10 · Business"
          },
          "url": "https://www.qbitai.com/2026/05/422615.html",
          "page": null,
          "source": "量子位",
          "host": "qbitai.com",
          "score": 86.1,
          "metrics": {
            "importance": 8,
            "weight": 5,
            "lang": "zh"
          },
          "topics": [
            "Business"
          ],
          "publishedAt": "2026-05-22T06:38:04.000Z",
          "updatedAt": "2026-05-22T06:38:04.000Z",
          "rawId": "https://www.qbitai.com/2026/05/422615.html"
        },
        {
          "id": "news-vlojc6",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "OpenAI named a Leader in enterprise coding agents by Gartner",
            "zh-CN": "OpenAI被Gartner列为企业编码代理的领导者"
          },
          "summary_i18n": {
            "en": "OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.",
            "zh-CN": "OpenAI被列为2026年Gartner企业AI编码代理魔力象限的领导者，Codex因其创新和企业级部署而受到认可。"
          },
          "reason_i18n": {
            "en": "OpenAI · impact 8/10 · Agents",
            "zh-CN": "OpenAI · 重要度 8/10 · Agents"
          },
          "url": "https://openai.com/index/gartner-2026-agentic-coding-leader",
          "page": null,
          "source": "OpenAI",
          "host": "openai.com",
          "score": 86.1,
          "metrics": {
            "importance": 8,
            "weight": 5,
            "lang": "en"
          },
          "topics": [
            "Agents"
          ],
          "publishedAt": "2026-05-22T00:00:00.000Z",
          "updatedAt": "2026-05-22T00:00:00.000Z",
          "rawId": "https://openai.com/index/gartner-2026-agentic-coding-leader"
        },
        {
          "id": "news-509tm1",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "AdventHealth advances whole-person care with OpenAI",
            "zh-CN": "AdventHealth 利用 OpenAI 实现全人护理"
          },
          "summary_i18n": {
            "en": "AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care.",
            "zh-CN": "AdventHealth 使用 ChatGPT for Healthcare 流程优化，减轻行政负担，增加患者护理时间。"
          },
          "reason_i18n": {
            "en": "OpenAI · impact 8/10 · AI",
            "zh-CN": "OpenAI · 重要度 8/10 · AI"
          },
          "url": "https://openai.com/index/adventhealth",
          "page": null,
          "source": "OpenAI",
          "host": "openai.com",
          "score": 86.1,
          "metrics": {
            "importance": 8,
            "weight": 5,
            "lang": "en"
          },
          "topics": [
            "AI"
          ],
          "publishedAt": "2026-05-21T12:00:00.000Z",
          "updatedAt": "2026-05-21T12:00:00.000Z",
          "rawId": "https://openai.com/index/adventhealth"
        },
        {
          "id": "news-1jzn3h5",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Catch up on the Dialogues stage at Google I/O 2026.",
            "zh-CN": "回顾谷歌I/O 2026的对话环节"
          },
          "summary_i18n": {
            "en": "A recap of the 2026 I/O Dialogues, where leaders discuss the future of AI, quantum computing, robotics and creativity.",
            "zh-CN": "2026年I/O对话环节的回顾，探讨了AI、量子计算、机器人技术和创造力的未来。"
          },
          "reason_i18n": {
            "en": "Google AI · impact 8/10 · Robotics",
            "zh-CN": "Google AI · 重要度 8/10 · Robotics"
          },
          "url": "https://blog.google/innovation-and-ai/technology/ai/io-2026-dialogues-recap/",
          "page": null,
          "source": "Google AI",
          "host": "blog.google",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Robotics"
          ],
          "publishedAt": "2026-05-22T18:00:00.000Z",
          "updatedAt": "2026-05-22T18:00:00.000Z",
          "rawId": "https://blog.google/innovation-and-ai/technology/ai/io-2026-dialogues-recap/"
        },
        {
          "id": "news-eorvcl",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "You can no longer Google the word ‘disregard’",
            "zh-CN": "你不能再用‘disregard’进行谷歌搜索了"
          },
          "summary_i18n": {
            "en": "After Google Search's AI update, the word \"disregard\" now effectively breaks the search interface.",
            "zh-CN": "谷歌搜索的AI更新后，‘disregard’一词现在会破坏搜索界面。"
          },
          "reason_i18n": {
            "en": "TechCrunch · AI · impact 8/10 · AI",
            "zh-CN": "TechCrunch · AI · 重要度 8/10 · AI"
          },
          "url": "https://techcrunch.com/2026/05/22/you-can-no-longer-google-the-word-disregard/",
          "page": null,
          "source": "TechCrunch · AI",
          "host": "techcrunch.com",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "AI"
          ],
          "publishedAt": "2026-05-22T16:16:48.000Z",
          "updatedAt": "2026-05-22T16:16:48.000Z",
          "rawId": "https://techcrunch.com/2026/05/22/you-can-no-longer-google-the-word-disregard/"
        },
        {
          "id": "news-1rd7qis",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "We tried Google’s AI glasses and they’re almost there",
            "zh-CN": "我们试用了谷歌的AI眼镜，它们几乎已经成熟"
          },
          "summary_i18n": {
            "en": "Google demoed prototype Android XR glasses that overlay Gemini-powered translation, navigation, and other information directly into your field of view.",
            "zh-CN": "谷歌展示了搭载Gemini的安卓XR眼镜原型，可将翻译和导航信息直接投射到视野中。"
          },
          "reason_i18n": {
            "en": "TechCrunch · AI · impact 8/10 · Models",
            "zh-CN": "TechCrunch · AI · 重要度 8/10 · Models"
          },
          "url": "https://techcrunch.com/2026/05/22/we-tried-googles-ai-glasses-and-theyre-almost-there/",
          "page": null,
          "source": "TechCrunch · AI",
          "host": "techcrunch.com",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Models"
          ],
          "publishedAt": "2026-05-22T15:37:15.000Z",
          "updatedAt": "2026-05-22T15:37:15.000Z",
          "rawId": "https://techcrunch.com/2026/05/22/we-tried-googles-ai-glasses-and-theyre-almost-there/"
        },
        {
          "id": "news-8z8rab",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Specialization Beats Scale: A Strategic Variable Most AI Procurement Decisions Overlook",
            "zh-CN": "专业化胜过规模：大多数AI采购决策忽视的战略变量"
          },
          "summary_i18n": {
            "en": "谷歌推出新AI模型Gemini Pro，参数达1.7万亿，强化专业领域应用。",
            "zh-CN": "谷歌推出新AI模型Gemini Pro，参数达1.7万亿，强化专业领域应用。"
          },
          "reason_i18n": {
            "en": "Hugging Face · impact 8/10 · Models",
            "zh-CN": "Hugging Face · 重要度 8/10 · Models"
          },
          "url": "https://huggingface.co/blog/Dharma-AI/specialization-beats-scale",
          "page": null,
          "source": "Hugging Face",
          "host": "huggingface.co",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Models"
          ],
          "publishedAt": "2026-05-22T15:25:59.000Z",
          "updatedAt": "2026-05-22T15:25:59.000Z",
          "rawId": "https://huggingface.co/blog/Dharma-AI/specialization-beats-scale"
        },
        {
          "id": "news-jeitne",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Google I/O showed how the path for AI-driven science is shifting",
            "zh-CN": "Google I/O展示了AI驱动科学路径的变化"
          },
          "summary_i18n": {
            "en": "During Tuesday’s Google I/O keynote, Demis Hassabis, the CEO of Google DeepMind, proclaimed that we are currently “standing in the foothills of the singularity.” It was a striking…",
            "zh-CN": "在Google I/O主题演讲中，Demis Hassabis表示我们正站在奇点的山脚下。"
          },
          "reason_i18n": {
            "en": "MIT Tech Review · impact 8/10 · AI",
            "zh-CN": "MIT Tech Review · 重要度 8/10 · AI"
          },
          "url": "https://www.technologyreview.com/2026/05/22/1137813/google-i-o-showed-how-the-path-for-ai-science-is-shifting/",
          "page": null,
          "source": "MIT Tech Review",
          "host": "technologyreview.com",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "AI"
          ],
          "publishedAt": "2026-05-22T10:00:00.000Z",
          "updatedAt": "2026-05-22T10:00:00.000Z",
          "rawId": "https://www.technologyreview.com/2026/05/22/1137813/google-i-o-showed-how-the-path-for-ai-science-is-shifting/"
        },
        {
          "id": "news-1cl1bd7",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Anthropic’s Code with Claude showed off coding’s future—whether you like it or not",
            "zh-CN": "Anthropic 的 Code with Claude 展示了编程的未来——无论你是否喜欢"
          },
          "summary_i18n": {
            "en": "The vibes were strong at Code with Claude, Anthropic’s two-day event for software developers in London that kicked off on May 19, the same day as Google’s I/O in Palo Alto. (A coi…",
            "zh-CN": "Code with Claude 是 Anthropic 在伦敦为期两天的开发者活动，与 Google I/O 同期举行。"
          },
          "reason_i18n": {
            "en": "MIT Tech Review · impact 8/10 · Models",
            "zh-CN": "MIT Tech Review · 重要度 8/10 · Models"
          },
          "url": "https://www.technologyreview.com/2026/05/21/1137735/anthropics-code-with-claude-showed-off-codings-future-whether-you-like-it-or-not/",
          "page": null,
          "source": "MIT Tech Review",
          "host": "technologyreview.com",
          "score": 84.3,
          "metrics": {
            "importance": 8,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Models"
          ],
          "publishedAt": "2026-05-21T14:30:45.000Z",
          "updatedAt": "2026-05-21T14:30:45.000Z",
          "rawId": "https://www.technologyreview.com/2026/05/21/1137735/anthropics-code-with-claude-showed-off-codings-future-whether-you-like-it-or-not/"
        },
        {
          "id": "news-1ivchww",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "Microsoft Releases Fara1.5: A Family of Browser Computer-Use Agents (4B/9B/27B) That Outperform OpenAI Operator and Gemini 2.5 Computer Use on Online-Mind2Web",
            "zh-CN": "微软发布Fara1.5：浏览器计算机使用代理家族（4B/9B/27B），性能超越OpenAI Operator和Gemini 2.5"
          },
          "summary_i18n": {
            "en": "Microsoft Research released Fara1.5, a family of browser computer-use agents in 4B, 9B, and 27B sizes. Fara1.5-27B scores 72% on Online-Mind2Web, outperforming OpenAI Operator, Ge…",
            "zh-CN": "微软研究院发布了Fara1.5，这是一个包含4B、9B和27B版本的浏览器计算机使用代理家族。Fara1.5-27B在Online-Mind2Web上的得分为72%，优于OpenAI Operator和Gemini 2.5。"
          },
          "reason_i18n": {
            "en": "MarkTechPost · impact 8/10 · Models, Agents",
            "zh-CN": "MarkTechPost · 重要度 8/10 · Models、Agents"
          },
          "url": "https://www.marktechpost.com/2026/05/22/microsoft-releases-fara1-5-a-family-of-browser-computer-use-agents-4b-9b-27b-that-outperform-openai-operator-and-gemini-2-5-computer-use-on-online-mind2web/",
          "page": null,
          "source": "MarkTechPost",
          "host": "marktechpost.com",
          "score": 83.7,
          "metrics": {
            "importance": 8,
            "weight": 2,
            "lang": "en"
          },
          "topics": [
            "Models",
            "Agents",
            "Products"
          ],
          "publishedAt": "2026-05-22T08:32:55.000Z",
          "updatedAt": "2026-05-22T08:32:55.000Z",
          "rawId": "https://www.marktechpost.com/2026/05/22/microsoft-releases-fara1-5-a-family-of-browser-computer-use-agents-4b-9b-27b-that-outperform-openai-operator-and-gemini-2-5-computer-use-on-online-mind2web/"
        },
        {
          "id": "news-1dawgbf",
          "sectionId": "news",
          "kind": "news",
          "kindLabel": {
            "en": "News",
            "zh-CN": "新闻"
          },
          "route": "/ai-news",
          "accent": "#ef4444",
          "title_i18n": {
            "en": "All of the updates from Elon Musk and Sam Altman’s battle over OpenAI",
            "zh-CN": "埃隆·马斯克与山姆·阿尔特曼在OpenAI的争斗最新进展"
          },
          "summary_i18n": {
            "en": "Sam Altman and Elon Musk are facing off in a high-stakes trial that could alter the future of OpenAI and its most well-known product, ChatGPT. In 2024, Musk filed a lawsuit accusi…",
            "zh-CN": "山姆·阿尔特曼和埃隆·马斯克正在经历一场可能改变OpenAI及其最著名产品ChatGPT未来的高风险审判。"
          },
          "reason_i18n": {
            "en": "The Verge · AI · impact 7/10 · Products",
            "zh-CN": "The Verge · AI · 重要度 7/10 · Products"
          },
          "url": "https://www.theverge.com/tech/917225/sam-altman-elon-musk-openai-lawsuit",
          "page": null,
          "source": "The Verge · AI",
          "host": "theverge.com",
          "score": 80.3,
          "metrics": {
            "importance": 7,
            "weight": 4,
            "lang": "en"
          },
          "topics": [
            "Products"
          ],
          "publishedAt": "2026-05-21T20:15:18.000Z",
          "updatedAt": "2026-05-21T20:15:18.000Z",
          "rawId": "https://www.theverge.com/tech/917225/sam-altman-elon-musk-openai-lawsuit"
        }
      ]
    },
    {
      "id": "papers",
      "title": {
        "en": "Papers",
        "zh-CN": "论文"
      },
      "route": "/papers",
      "accent": "#6366f1",
      "count": 60,
      "sourceUpdatedAt": "2026-05-23T05:38:09.183Z",
      "items": [
        {
          "id": "papers-ws6s7z",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration",
            "zh-CN": "AutoResearchClaw：基于人类-AI协作的自增强自主研究"
          },
          "summary_i18n": {
            "en": "AutoResearchClaw is a multi-agent autonomous research system that improves scientific discovery through structured debate, self-healing execution, verifiable reporting, human collaboration, and evolutionary learning, outperforming previous systems on a benchm…",
            "zh-CN": "通过结构化辩论和进化学习提升科学发现，优于现有系统并保持人类监督"
          },
          "reason_i18n": {
            "en": "115 HF votes · 12503 GitHub stars",
            "zh-CN": "HF 115 赞 · GitHub 12503 星"
          },
          "url": "https://huggingface.co/papers/2605.20025",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 71.7,
          "metrics": {
            "upvotes": 115,
            "comments": 1,
            "githubStars": 12503
          },
          "topics": [
            "multi-agent autonomous research",
            "structured multi-agent debate",
            "self-healing executor",
            "\\textsc{Pivot}/\\textsc{Refine} decision loop",
            "verifiable result reporting",
            "human-in-the-loop collaboration"
          ],
          "publishedAt": "2026-05-20T00:00:00.000Z",
          "updatedAt": "2026-05-20T00:00:00.000Z",
          "rawId": "2605.20025"
        },
        {
          "id": "papers-wssfyy",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation",
            "zh-CN": "Mega-ASR：通过真实声学模拟扩展实现野外语音识别"
          },
          "summary_i18n": {
            "en": "Mega-ASR framework improves robustness in real-world speech recognition through compound-data construction and progressive acoustic-to-semantic optimization techniques.",
            "zh-CN": "Mega-ASR通过构建复合数据和渐进声学到语义优化提升真实场景下的语音识别鲁棒性。"
          },
          "reason_i18n": {
            "en": "125 HF votes · 319 GitHub stars",
            "zh-CN": "HF 125 赞 · GitHub 319 星"
          },
          "url": "https://huggingface.co/papers/2605.19833",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 71.1,
          "metrics": {
            "upvotes": 125,
            "comments": 2,
            "githubStars": 319
          },
          "topics": [
            "automatic speech recognition",
            "acoustic robustness bottleneck",
            "compound-data construction",
            "progressive acoustic-to-semantic optimization",
            "Acoustic-to-Semantic Progressive Supervised Fine-Tuning",
            "Dual-Granularity WER-Gated Policy Optimization"
          ],
          "publishedAt": "2026-05-21T00:00:00.000Z",
          "updatedAt": "2026-05-21T00:00:00.000Z",
          "rawId": "2605.19833"
        },
        {
          "id": "papers-ws89a1",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation",
            "zh-CN": "TransitLM：无地图公交路线生成的大规模数据集与基准"
          },
          "summary_i18n": {
            "en": "TransitLM dataset enables end-to-end transit route planning using large language models trained on structured transit data, eliminating the need for traditional map-based approaches.",
            "zh-CN": "使用结构化交通数据训练大语言模型，实现端到端公交路线生成，无需传统地图方法"
          },
          "reason_i18n": {
            "en": "165 HF votes · 109 GitHub stars",
            "zh-CN": "HF 165 赞 · GitHub 109 星"
          },
          "url": "https://huggingface.co/papers/2605.22355",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 70,
          "metrics": {
            "upvotes": 165,
            "comments": 2,
            "githubStars": 109
          },
          "topics": [
            "large language models",
            "transit route planning",
            "structured map infrastructure",
            "routing engines",
            "continual pre-training",
            "evaluation tasks"
          ],
          "publishedAt": "2026-05-22T00:00:00.000Z",
          "updatedAt": "2026-05-22T00:00:00.000Z",
          "rawId": "2605.22355"
        },
        {
          "id": "papers-wsrltq",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation",
            "zh-CN": "LongLive-2.0：基于NVFP4的长视频生成并行架构"
          },
          "summary_i18n": {
            "en": "LongLive-2.0 presents an NVFP4-based parallel infrastructure for long video generation that addresses training and inference bottlenecks through sequence-parallel autoregressive training and diffusion model tuning.",
            "zh-CN": "提出基于NVFP4的并行架构，通过序列并行自回归训练和扩散模型调优解决长视频生成的训练与推理瓶颈"
          },
          "reason_i18n": {
            "en": "108 HF votes · 1644 GitHub stars",
            "zh-CN": "HF 108 赞 · GitHub 1644 星"
          },
          "url": "https://huggingface.co/papers/2605.18739",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 70,
          "metrics": {
            "upvotes": 108,
            "comments": 3,
            "githubStars": 1644
          },
          "topics": [
            "NVFP4",
            "sequence-parallel autoregressive training",
            "Balanced SP",
            "teacher-forcing layout",
            "VAE encoding",
            "diffusion model"
          ],
          "publishedAt": "2026-05-19T00:00:00.000Z",
          "updatedAt": "2026-05-19T00:00:00.000Z",
          "rawId": "2605.18739"
        },
        {
          "id": "papers-wsrkvu",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "Lance: Unified Multimodal Modeling by Multi-Task Synergy",
            "zh-CN": "Lance：通过多任务协同的统一多模态建模"
          },
          "summary_i18n": {
            "en": "Lance is a unified multimodal model that combines understanding, generation, and editing capabilities for images and videos through collaborative multi-task training and a dual-stream architecture.",
            "zh-CN": "Lance通过多任务协同和双流架构，实现图像和视频的理解、生成与编辑的统一建模。"
          },
          "reason_i18n": {
            "en": "71 HF votes · 766 GitHub stars",
            "zh-CN": "HF 71 赞 · GitHub 766 星"
          },
          "url": "https://huggingface.co/papers/2605.18678",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 68.5,
          "metrics": {
            "upvotes": 71,
            "comments": 4,
            "githubStars": 766
          },
          "topics": [
            "mixture-of-experts architecture",
            "multimodal understanding",
            "multimodal generation",
            "multimodal editing",
            "collaborative multi-task training",
            "unified context modeling"
          ],
          "publishedAt": "2026-05-19T00:00:00.000Z",
          "updatedAt": "2026-05-19T00:00:00.000Z",
          "rawId": "2605.18678"
        },
        {
          "id": "papers-wt0ntn",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining",
            "zh-CN": "Video2GUI：合成大规模交互轨迹用于通用GUI代理预训练"
          },
          "summary_i18n": {
            "en": "A large-scale GUI dataset was created by automatically extracting interaction trajectories from internet videos, enabling improved performance in GUI agents through pre-training on this diverse collection.",
            "zh-CN": "通过从互联网视频中自动提取交互轨迹构建大规模GUI数据集，提升GUI代理预训练性能"
          },
          "reason_i18n": {
            "en": "142 HF votes · 26 GitHub stars",
            "zh-CN": "HF 142 赞 · GitHub 26 星"
          },
          "url": "https://huggingface.co/papers/2605.14747",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 68.1,
          "metrics": {
            "upvotes": 142,
            "comments": 3,
            "githubStars": 26
          },
          "topics": [
            "multimodal large language models",
            "graphical user interface agents",
            "GUI grounding",
            "action benchmarks",
            "pre-training",
            "GUI interaction trajectories"
          ],
          "publishedAt": "2026-05-21T00:00:00.000Z",
          "updatedAt": "2026-05-21T00:00:00.000Z",
          "rawId": "2605.14747"
        },
        {
          "id": "papers-wsrllj",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "Code as Agent Harness",
            "zh-CN": "代码作为代理的架构"
          },
          "summary_i18n": {
            "en": "Large language models are increasingly used as operational substrates for agent reasoning and execution in agentic systems, with code serving as a unified infrastructure layer across multiple domains and applications.",
            "zh-CN": "将代码作为统一基础设施层，用于代理推理与执行。"
          },
          "reason_i18n": {
            "en": "196 HF votes · 198 GitHub stars",
            "zh-CN": "HF 196 赞 · GitHub 198 星"
          },
          "url": "https://huggingface.co/papers/2605.18747",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 68,
          "metrics": {
            "upvotes": 196,
            "comments": 3,
            "githubStars": 198
          },
          "topics": [
            "large language models",
            "agentic systems",
            "agent harness",
            "code as agent harness",
            "agent infrastructure",
            "reasoning"
          ],
          "publishedAt": "2026-05-19T00:00:00.000Z",
          "updatedAt": "2026-05-19T00:00:00.000Z",
          "rawId": "2605.18747"
        },
        {
          "id": "papers-ws6twa",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook",
            "zh-CN": "大型音频语言模型综述：泛化性、可信性与展望"
          },
          "summary_i18n": {
            "en": "Large Audio Language Models exhibit significant trustworthiness challenges despite performance advances, requiring comprehensive frameworks addressing security vulnerabilities and defensive strategies.",
            "zh-CN": "综述大型音频语言模型的泛化性和可信性问题，提出全面框架解决安全漏洞和防御策略。"
          },
          "reason_i18n": {
            "en": "52 HF votes · 198 GitHub stars",
            "zh-CN": "HF 52 赞 · GitHub 198 星"
          },
          "url": "https://huggingface.co/papers/2605.20266",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 67.8,
          "metrics": {
            "upvotes": 52,
            "comments": 2,
            "githubStars": 198
          },
          "topics": [
            "Large Language Models",
            "Multimodal Large Language Models",
            "Large Audio Language Models",
            "end-to-end frameworks",
            "acoustic signals",
            "attack surface"
          ],
          "publishedAt": "2026-05-21T00:00:00.000Z",
          "updatedAt": "2026-05-21T00:00:00.000Z",
          "rawId": "2605.20266"
        },
        {
          "id": "papers-wt0n3q",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows",
            "zh-CN": "π-Bench：评估长流程中主动个人助手代理"
          },
          "summary_i18n": {
            "en": "Proactive assistance in personal agent systems requires identifying hidden user intents through sustained multi-turn interactions, which current benchmarks fail to adequately evaluate.",
            "zh-CN": "提出π-Bench评估长流程中主动个人助手，基于GPT和LoRA方法提升用户意图识别性能"
          },
          "reason_i18n": {
            "en": "88 HF votes · 31 GitHub stars",
            "zh-CN": "HF 88 赞 · GitHub 31 星"
          },
          "url": "https://huggingface.co/papers/2605.14678",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 67.1,
          "metrics": {
            "upvotes": 88,
            "comments": 3,
            "githubStars": 31
          },
          "topics": [
            "personal assistant agents",
            "large language models",
            "proactive assistance",
            "user intents",
            "multi-turn interactions",
            "domain-specific user personas"
          ],
          "publishedAt": "2026-05-22T00:00:00.000Z",
          "updatedAt": "2026-05-22T00:00:00.000Z",
          "rawId": "2605.14678"
        },
        {
          "id": "papers-ws6re9",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "Toto 2.0: Time Series Forecasting Enters the Scaling Era",
            "zh-CN": "Toto 2.0：时间序列预测进入扩展时代"
          },
          "summary_i18n": {
            "en": "Time series foundation models demonstrate scalable forecasting performance across parameter sizes, with Toto 2.0 achieving state-of-the-art results on multiple benchmarks through a unified training approach.",
            "zh-CN": "Toto 2.0通过统一训练方法在多个基准上实现最优预测性能"
          },
          "reason_i18n": {
            "en": "35 HF votes · 443 GitHub stars",
            "zh-CN": "HF 35 赞 · GitHub 443 星"
          },
          "url": "https://huggingface.co/papers/2605.20119",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 67.1,
          "metrics": {
            "upvotes": 35,
            "comments": 1,
            "githubStars": 443
          },
          "topics": [
            "time series foundation models",
            "forecasting models",
            "parameter scaling",
            "BOOM benchmark",
            "GIFT-Eval benchmark",
            "TIME benchmark"
          ],
          "publishedAt": "2026-05-21T00:00:00.000Z",
          "updatedAt": "2026-05-21T00:00:00.000Z",
          "rawId": "2605.20119"
        },
        {
          "id": "papers-wsvz2z",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence",
            "zh-CN": "CiteVQA：可信文档智能的证据归属基准"
          },
          "summary_i18n": {
            "en": "CiteVQA introduces a benchmark for document vision-language models that evaluates both answer accuracy and correct citation of supporting evidence, revealing significant attribution hallucinations in current models.",
            "zh-CN": "构建CiteVQA基准，评估文档视觉-语言模型的答案准确性和引用正确性，发现当前模型存在显著的归属幻觉。"
          },
          "reason_i18n": {
            "en": "261 HF votes · 64 GitHub stars",
            "zh-CN": "HF 261 赞 · GitHub 64 星"
          },
          "url": "https://huggingface.co/papers/2605.12882",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 66.9,
          "metrics": {
            "upvotes": 261,
            "comments": 3,
            "githubStars": 64
          },
          "topics": [
            "Multimodal Large Language Models",
            "Doc-VQA",
            "document understanding",
            "bounding-box citations",
            "Strict Attributed Accuracy",
            "Attribution Hallucination"
          ],
          "publishedAt": "2026-05-18T00:00:00.000Z",
          "updatedAt": "2026-05-18T00:00:00.000Z",
          "rawId": "2605.12882"
        },
        {
          "id": "papers-ws6xa4",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "HRM-Text: Efficient Pretraining Beyond Scaling",
            "zh-CN": "HRM-Text：超越扩展的高效预训练"
          },
          "summary_i18n": {
            "en": "A Hierarchical Recurrent Model architecture with specialized training on instruction-response pairs achieves competitive language modeling performance with significantly reduced computational requirements compared to traditional Transformer-based approaches.",
            "zh-CN": "提出HRM-Text模型，在指令-响应对上进行分层训练，显著降低计算需求并实现竞争性语言建模性能"
          },
          "reason_i18n": {
            "en": "18 HF votes · 650 GitHub stars",
            "zh-CN": "HF 18 赞 · GitHub 650 星"
          },
          "url": "https://huggingface.co/papers/2605.20613",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 66,
          "metrics": {
            "upvotes": 18,
            "comments": 1,
            "githubStars": 650
          },
          "topics": [
            "Hierarchical Recurrent Model",
            "Transformers",
            "deep recurrence",
            "MagicNorm",
            "warmup deep credit assignment",
            "instruction-response pairs"
          ],
          "publishedAt": "2026-05-21T00:00:00.000Z",
          "updatedAt": "2026-05-21T00:00:00.000Z",
          "rawId": "2605.20613"
        },
        {
          "id": "papers-wsx1ko",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "MMSkills: Towards Multimodal Skills for General Visual Agents",
            "zh-CN": "MMSkills：面向通用视觉代理的多模态技能"
          },
          "summary_i18n": {
            "en": "Multimodal procedural knowledge frameworks enable visual agents to leverage external reusable skills through structured representations combining text, state cards, and visual keyframes, improving decision-making in complex environments.",
            "zh-CN": "构建多模态程序知识框架，通过文本、状态卡和视觉关键帧提升视觉代理决策能力"
          },
          "reason_i18n": {
            "en": "116 HF votes · 136 GitHub stars",
            "zh-CN": "HF 116 赞 · GitHub 136 星"
          },
          "url": "https://huggingface.co/papers/2605.13527",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 65.9,
          "metrics": {
            "upvotes": 116,
            "comments": 3,
            "githubStars": 136
          },
          "topics": [
            "multimodal procedural knowledge",
            "visual agents",
            "skill packages",
            "state-conditioned packages",
            "visual grounding",
            "agentic trajectory-to-skill Generator"
          ],
          "publishedAt": "2026-05-18T00:00:00.000Z",
          "updatedAt": "2026-05-18T00:00:00.000Z",
          "rawId": "2605.13527"
        },
        {
          "id": "papers-wsrml2",
          "sectionId": "papers",
          "kind": "papers",
          "kindLabel": {
            "en": "Papers",
            "zh-CN": "论文"
          },
          "route": "/papers",
          "accent": "#6366f1",
          "title_i18n": {
            "en": "SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution",
            "zh-CN": "SkillsVote：代理技能的生命周期治理框架"
          },
          "summary_i18n": {
            "en": "SkillsVote is a governance framework for long-horizon LLM agents that manages reusable skills through structured collection, recommendation, and evolution processes.",
            "zh-CN": "提出SkillsVote框架，通过结构化收集、推荐和进化过程管理长周期LLM代理的可复用技能"
          },
          "reason_i18n": {
            "en": "122 HF votes · 252 GitHub stars",
            "zh-CN": "HF 122 赞 · GitHub 252 星"
          },
          "url": "https://huggingface.co/papers/2605.18401",
          "page": null,
          "source": "HF Daily Papers",
          "host": "huggingface.co",
          "score": 65.1,
          "metrics": {
            "upvotes": 122,
            "comments": 1,
            "githubStars": 252
          },
          "topics": [
            "Agent Skills",
            "experience schema",
            "executable scripts",
            "skill ecosystems",
            "lifecycle-governance framework",
            "environment requirements"
          ],
          "publishedAt": "2026-05-19T00:00:00.000Z",
          "updatedAt": "2026-05-19T00:00:00.000Z",
          "rawId": "2605.18401"
        }
      ]
    },
    {
      "id": "models",
      "title": {
        "en": "Models",
        "zh-CN": "模型"
      },
      "route": "/models",
      "accent": "#f59e0b",
      "count": 60,
      "sourceUpdatedAt": "2026-05-23T05:38:23.557Z",
      "items": [
        {
          "id": "models-1tykpad",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Sulphur-2-base",
            "zh-CN": "Sulphur-2-base"
          },
          "summary_i18n": {
            "en": "Sulphur-2-base is a text-to-video by SulphurAI.",
            "zh-CN": "Sulphur-2-base 是一款基于 LTX 2.3 的文本到视频生成模型支持 t2v 和 i2v 任务具备强大的提示增强能力。"
          },
          "reason_i18n": {
            "en": "文生视频 · 1274 likes · 1249582 downloads",
            "zh-CN": "文生视频 · 1274 喜欢 · 1249582 下载"
          },
          "url": "https://huggingface.co/SulphurAI/Sulphur-2-base",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 88.2,
          "metrics": {
            "likes": 1274,
            "downloads": 1249582,
            "trendingScore": 243,
            "pipeline": "text-to-video"
          },
          "topics": [
            "text-to-video"
          ],
          "publishedAt": "2026-05-03T00:33:24.000Z",
          "updatedAt": "2026-05-22T01:12:13.000Z",
          "rawId": "SulphurAI/Sulphur-2-base"
        },
        {
          "id": "models-39sfo",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "MiniCPM-V-4.6",
            "zh-CN": "MiniCPM-V-4.6"
          },
          "summary_i18n": {
            "en": "MiniCPM-V-4.6 is a image-text-to-text by openbmb.",
            "zh-CN": "面向手机端的轻量级多模态大模型支持图像和视频理解在计算效率和性能上表现优异"
          },
          "reason_i18n": {
            "en": "图文问答 · 多模态 · 906 likes · 221612 downloads",
            "zh-CN": "图文问答 · 多模态 · 906 喜欢 · 221612 下载"
          },
          "url": "https://huggingface.co/openbmb/MiniCPM-V-4.6",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 82.9,
          "metrics": {
            "likes": 906,
            "downloads": 221612,
            "trendingScore": 281,
            "pipeline": "image-text-to-text"
          },
          "topics": [
            "minicpmv4_6",
            "image-text-to-text",
            "minicpm-v",
            "multimodal",
            "On-Device Model",
            "lightweight",
            "arxiv:2604.27393",
            "arxiv:2509.18154"
          ],
          "publishedAt": "2026-04-13T09:12:47.000Z",
          "updatedAt": "2026-05-19T14:01:40.000Z",
          "rawId": "openbmb/MiniCPM-V-4.6"
        },
        {
          "id": "models-1np5cyr",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "HRM-Text-1B",
            "zh-CN": "HRM-Text-1B"
          },
          "summary_i18n": {
            "en": "HRM-Text-1B is a text-generation by sapientinc.",
            "zh-CN": "基于HRM架构的1B参数语言模型，具备分层推理能力，适用于文本生成任务，适合进行进一步对齐优化。"
          },
          "reason_i18n": {
            "en": "文本生成 · LLM · 246 likes · 72470 downloads",
            "zh-CN": "文本生成 · LLM · 246 喜欢 · 72470 下载"
          },
          "url": "https://huggingface.co/sapientinc/HRM-Text-1B",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 82.6,
          "metrics": {
            "likes": 246,
            "downloads": 72470,
            "trendingScore": 243,
            "pipeline": "text-generation"
          },
          "topics": [
            "hrm_text",
            "text-generation",
            "hrm",
            "hierarchical-reasoning",
            "prefix-lm",
            "pre-alignment",
            "non-chat",
            "non-instruction-tuned"
          ],
          "publishedAt": "2026-05-17T15:13:02.000Z",
          "updatedAt": "2026-05-21T05:57:38.000Z",
          "rawId": "sapientinc/HRM-Text-1B"
        },
        {
          "id": "models-1dmxan4",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "DeepSeek-V4-Pro",
            "zh-CN": "DeepSeek-V4-Pro"
          },
          "summary_i18n": {
            "en": "DeepSeek-V4-Pro is a text-generation by deepseek-ai.",
            "zh-CN": "DeepSeek-V4-Pro 是一款面向文本生成的大型语言模型支持百万级上下文长度具备高效推理能力适用于复杂任务场景。"
          },
          "reason_i18n": {
            "en": "文本生成 · LLM · 4159 likes · 4287396 downloads",
            "zh-CN": "文本生成 · LLM · 4159 喜欢 · 4287396 下载"
          },
          "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 82.6,
          "metrics": {
            "likes": 4159,
            "downloads": 4287396,
            "trendingScore": 136,
            "pipeline": "text-generation"
          },
          "topics": [
            "deepseek_v4",
            "text-generation",
            "8-bit",
            "fp8"
          ],
          "publishedAt": "2026-04-22T06:04:45.000Z",
          "updatedAt": "2026-05-06T04:18:44.000Z",
          "rawId": "deepseek-ai/DeepSeek-V4-Pro"
        },
        {
          "id": "models-1iqhmrv",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Qwen3.6-27B-MTP-GGUF",
            "zh-CN": "Qwen3.6-27B-MTP-GGUF"
          },
          "summary_i18n": {
            "en": "Qwen3.6-27B-MTP-GGUF is a image-text-to-text by unsloth.",
            "zh-CN": "基于Qwen3.6-27B的图像文本到文本模型支持高效推理具备1.5-2倍速度提升适用于多场景任务"
          },
          "reason_i18n": {
            "en": "图文问答 · 多模态 · 416 likes · 532255 downloads",
            "zh-CN": "图文问答 · 多模态 · 416 喜欢 · 532255 下载"
          },
          "url": "https://huggingface.co/unsloth/Qwen3.6-27B-MTP-GGUF",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 82.4,
          "metrics": {
            "likes": 416,
            "downloads": 532255,
            "trendingScore": 231,
            "pipeline": "image-text-to-text"
          },
          "topics": [
            "unsloth",
            "qwen",
            "qwen3_5",
            "image-text-to-text",
            "base_model:Qwen/Qwen3.6-27B",
            "base_model:quantized:Qwen/Qwen3.6-27B",
            "imatrix"
          ],
          "publishedAt": "2026-05-11T12:57:11.000Z",
          "updatedAt": "2026-05-20T08:48:34.000Z",
          "rawId": "unsloth/Qwen3.6-27B-MTP-GGUF"
        },
        {
          "id": "models-5ksaol",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Qwen3.6-35B-A3B-MTP-GGUF",
            "zh-CN": "Qwen3.6-35B-A3B-MTP-GGUF"
          },
          "summary_i18n": {
            "en": "Qwen3.6-35B-A3B-MTP-GGUF is a image-text-to-text by unsloth.",
            "zh-CN": "定位为图像文本到文本的生成模型 规模基于Qwen3.6-35B大模型 能力亮点是支持MTP加速推理提升性能"
          },
          "reason_i18n": {
            "en": "图文问答 · 多模态 · 336 likes · 466060 downloads",
            "zh-CN": "图文问答 · 多模态 · 336 喜欢 · 466060 下载"
          },
          "url": "https://huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 81.8,
          "metrics": {
            "likes": 336,
            "downloads": 466060,
            "trendingScore": 177,
            "pipeline": "image-text-to-text"
          },
          "topics": [
            "unsloth",
            "qwen",
            "qwen3_5_moe",
            "image-text-to-text",
            "base_model:Qwen/Qwen3.6-35B-A3B",
            "base_model:quantized:Qwen/Qwen3.6-35B-A3B",
            "imatrix"
          ],
          "publishedAt": "2026-05-11T12:57:12.000Z",
          "updatedAt": "2026-05-20T08:48:17.000Z",
          "rawId": "unsloth/Qwen3.6-35B-A3B-MTP-GGUF"
        },
        {
          "id": "models-14y7d9c",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Anima",
            "zh-CN": "Anima"
          },
          "summary_i18n": {
            "en": "Anima is a model by circlestone-labs.",
            "zh-CN": "CircleStone Labs与Comfy Org联合开发的20亿参数文本生成动漫图像模型支持多种非写实艺术风格生成提供高灵活性和多样性"
          },
          "reason_i18n": {
            "en": "model · 1500 likes · 602483 downloads",
            "zh-CN": "model · 1500 喜欢 · 602483 下载"
          },
          "url": "https://huggingface.co/circlestone-labs/Anima",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 81.5,
          "metrics": {
            "likes": 1500,
            "downloads": 602483,
            "trendingScore": 163,
            "pipeline": null
          },
          "topics": [
            "diffusion-single-file",
            "comfyui"
          ],
          "publishedAt": "2026-01-29T21:17:57.000Z",
          "updatedAt": "2026-05-14T17:13:39.000Z",
          "rawId": "circlestone-labs/Anima"
        },
        {
          "id": "models-vvvlln",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "supertonic-3",
            "zh-CN": "supertonic-3"
          },
          "summary_i18n": {
            "en": "supertonic-3 is a text-to-speech by Supertone.",
            "zh-CN": "Supertonic 3 是一款轻量级多语言文本转语音模型 支持31种语言 本地运行速度快且准确"
          },
          "reason_i18n": {
            "en": "语音合成 · 585 likes · 37545 downloads",
            "zh-CN": "语音合成 · 585 喜欢 · 37545 下载"
          },
          "url": "https://huggingface.co/Supertone/supertonic-3",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 80,
          "metrics": {
            "likes": 585,
            "downloads": 37545,
            "trendingScore": 328,
            "pipeline": "text-to-speech"
          },
          "topics": [
            "supertonic",
            "text-to-speech",
            "speech-synthesis",
            "tts",
            "multilingual",
            "on-device",
            "en",
            "ko"
          ],
          "publishedAt": "2026-05-06T20:46:20.000Z",
          "updatedAt": "2026-05-18T08:59:01.000Z",
          "rawId": "Supertone/supertonic-3"
        },
        {
          "id": "models-17pz82k",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Lance",
            "zh-CN": "Lance"
          },
          "summary_i18n": {
            "en": "Lance is a any-to-any by bytedance-research.",
            "zh-CN": "Lance 是由字节跳动研发的多模态统一模型支持图像视频生成与编辑等任务规模庞大能力全面覆盖多种媒体形式"
          },
          "reason_i18n": {
            "en": "多模态(any2any) · 655 likes · 1001 downloads",
            "zh-CN": "多模态(any2any) · 655 喜欢 · 1001 下载"
          },
          "url": "https://huggingface.co/bytedance-research/Lance",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 79.7,
          "metrics": {
            "likes": 655,
            "downloads": 1001,
            "trendingScore": 631,
            "pipeline": "any-to-any"
          },
          "topics": [
            "Lance",
            "multimodal",
            "image-generation",
            "video-generation",
            "image-editing",
            "video-understanding",
            "any-to-any",
            "arxiv:2605.18678"
          ],
          "publishedAt": "2026-05-15T08:05:57.000Z",
          "updatedAt": "2026-05-22T16:55:56.000Z",
          "rawId": "bytedance-research/Lance"
        },
        {
          "id": "models-13i0yl2",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Hy-MT2-1.8B",
            "zh-CN": "Hy-MT2-1.8B"
          },
          "summary_i18n": {
            "en": "Hy-MT2-1.8B is a translation by tencent.",
            "zh-CN": "腾讯Hy-MT2-1.8B是一款支持33种语言的多语言翻译模型具备强大的跨语言理解和生成能力同时通过极量化技术实现高效部署"
          },
          "reason_i18n": {
            "en": "翻译 · 281 likes · 564 downloads",
            "zh-CN": "翻译 · 281 喜欢 · 564 下载"
          },
          "url": "https://huggingface.co/tencent/Hy-MT2-1.8B",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 77.4,
          "metrics": {
            "likes": 281,
            "downloads": 564,
            "trendingScore": 273,
            "pipeline": "translation"
          },
          "topics": [
            "hunyuan_v1_dense",
            "text-generation",
            "translation",
            "zh",
            "en",
            "fr",
            "pt",
            "es"
          ],
          "publishedAt": "2026-05-11T08:22:10.000Z",
          "updatedAt": "2026-05-22T05:09:24.000Z",
          "rawId": "tencent/Hy-MT2-1.8B"
        },
        {
          "id": "models-2vnjps",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Qwopus3.5-9B-Coder-GGUF",
            "zh-CN": "Qwopus3.5-9B-Coder-GGUF"
          },
          "summary_i18n": {
            "en": "Qwopus3.5-9B-Coder-GGUF is a image-text-to-text by Jackrong.",
            "zh-CN": "基于Qwopus3.5-9B-v3.5优化，专攻编程与逻辑推理的开源模型，支持工具调用和视觉输入，具备高精度推理与代码处理能力。"
          },
          "reason_i18n": {
            "en": "图文问答 · 多模态 · 164 likes · 28599 downloads",
            "zh-CN": "图文问答 · 多模态 · 164 喜欢 · 28599 下载"
          },
          "url": "https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder-GGUF",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 77.3,
          "metrics": {
            "likes": 164,
            "downloads": 28599,
            "trendingScore": 162,
            "pipeline": "image-text-to-text"
          },
          "topics": [
            "unsloth",
            "qwen3_5",
            "reasoning",
            "chain-of-thought",
            "lora",
            "sft",
            "agent",
            "tool-use"
          ],
          "publishedAt": "2026-05-15T12:53:59.000Z",
          "updatedAt": "2026-05-19T23:41:58.000Z",
          "rawId": "Jackrong/Qwopus3.5-9B-Coder-GGUF"
        },
        {
          "id": "models-jgimgf",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Hy-MT2-30B-A3B",
            "zh-CN": "Hy-MT2-30B-A3B"
          },
          "summary_i18n": {
            "en": "Hy-MT2-30B-A3B is a translation by tencent.",
            "zh-CN": "腾讯Hy-MT2-30B-A3B是一款30B参数的多语言翻译模型支持33种语言翻译具备强大的指令遵循能力和多场景翻译性能优于同类开源模型和部分商业API。"
          },
          "reason_i18n": {
            "en": "翻译 · 255 likes · 224 downloads",
            "zh-CN": "翻译 · 255 喜欢 · 224 下载"
          },
          "url": "https://huggingface.co/tencent/Hy-MT2-30B-A3B",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 76.2,
          "metrics": {
            "likes": 255,
            "downloads": 224,
            "trendingScore": 239,
            "pipeline": "translation"
          },
          "topics": [
            "hy_v3",
            "text-generation",
            "translation",
            "zh",
            "en",
            "fr",
            "pt",
            "es"
          ],
          "publishedAt": "2026-05-11T07:43:51.000Z",
          "updatedAt": "2026-05-22T05:15:55.000Z",
          "rawId": "tencent/Hy-MT2-30B-A3B"
        },
        {
          "id": "models-riioj5",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "Marlin-2B",
            "zh-CN": "Marlin-2B"
          },
          "summary_i18n": {
            "en": "Marlin-2B is a video-text-to-text by NemoStation.",
            "zh-CN": "定位视频到文本生成的大型语言模型 基于20亿参数规模 具备多模态理解和时序定位能力"
          },
          "reason_i18n": {
            "en": "video-text-to-text · 252 likes · 4002 downloads",
            "zh-CN": "video-text-to-text · 252 喜欢 · 4002 下载"
          },
          "url": "https://huggingface.co/NemoStation/Marlin-2B",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 75.9,
          "metrics": {
            "likes": 252,
            "downloads": 4002,
            "trendingScore": 245,
            "pipeline": "video-text-to-text"
          },
          "topics": [
            "qwen3_5",
            "text-generation",
            "video",
            "multimodal",
            "video-captioning",
            "temporal-grounding",
            "qwen",
            "VLM"
          ],
          "publishedAt": "2026-05-13T16:23:12.000Z",
          "updatedAt": "2026-05-20T07:54:57.000Z",
          "rawId": "NemoStation/Marlin-2B"
        },
        {
          "id": "models-1ykg55p",
          "sectionId": "models",
          "kind": "models",
          "kindLabel": {
            "en": "Models",
            "zh-CN": "模型"
          },
          "route": "/models",
          "accent": "#f59e0b",
          "title_i18n": {
            "en": "DeepSeek-V4-Flash",
            "zh-CN": "DeepSeek-V4-Flash"
          },
          "summary_i18n": {
            "en": "DeepSeek-V4-Flash is a text-generation by deepseek-ai.",
            "zh-CN": "面向文本生成的大型语言模型基于8位和fp8量化技术实现高效推理具备百万词上下文理解能力"
          },
          "reason_i18n": {
            "en": "文本生成 · LLM · 1194 likes · 2556531 downloads",
            "zh-CN": "文本生成 · LLM · 1194 喜欢 · 2556531 下载"
          },
          "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash",
          "page": null,
          "source": "HF Trending",
          "host": "huggingface.co",
          "score": 73,
          "metrics": {
            "likes": 1194,
            "downloads": 2556531,
            "trendingScore": 84,
            "pipeline": "text-generation"
          },
          "topics": [
            "deepseek_v4",
            "text-generation",
            "8-bit",
            "fp8"
          ],
          "publishedAt": "2026-04-22T06:04:20.000Z",
          "updatedAt": "2026-05-06T04:18:09.000Z",
          "rawId": "deepseek-ai/DeepSeek-V4-Flash"
        }
      ]
    },
    {
      "id": "github",
      "title": {
        "en": "GitHub",
        "zh-CN": "开源"
      },
      "route": "/github",
      "accent": "#10b981",
      "count": 72,
      "sourceUpdatedAt": "2026-05-23T05:39:12.881Z",
      "items": [
        {
          "id": "github-1b2giei",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "openclaw",
            "zh-CN": "openclaw"
          },
          "summary_i18n": {
            "en": "Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞",
            "zh-CN": "个人AI助手，跨平台支持，注重数据自主，适合开发者和科技爱好者使用。"
          },
          "reason_i18n": {
            "en": "374034 stars · TypeScript · rising/classic",
            "zh-CN": "374034 星 · TypeScript · rising/classic"
          },
          "url": "https://github.com/openclaw/openclaw",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 89,
          "metrics": {
            "stars": 374034,
            "forks": 77739,
            "language": "TypeScript",
            "badges": [
              "rising",
              "classic",
              "hot"
            ]
          },
          "topics": [
            "ai",
            "assistant",
            "crustacean",
            "molty",
            "openclaw",
            "own-your-data",
            "personal"
          ],
          "publishedAt": "2025-11-24T10:16:47Z",
          "updatedAt": "2026-05-23T05:28:56Z",
          "rawId": "openclaw/openclaw"
        },
        {
          "id": "github-bel94a",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "mempalace",
            "zh-CN": "mempalace"
          },
          "summary_i18n": {
            "en": "The best-benchmarked open-source AI memory system. And it's free.",
            "zh-CN": "基于 Python 的高效 AI 记忆系统，支持 LLM 和 ChromaDB，适合开发者快速构建智能应用。"
          },
          "reason_i18n": {
            "en": "52680 stars · Python · rising/classic",
            "zh-CN": "52680 星 · Python · rising/classic"
          },
          "url": "https://github.com/MemPalace/mempalace",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 89,
          "metrics": {
            "stars": 52680,
            "forks": 6949,
            "language": "Python",
            "badges": [
              "rising",
              "classic",
              "hot"
            ]
          },
          "topics": [
            "ai",
            "chromadb",
            "llm",
            "mcp",
            "memory",
            "python"
          ],
          "publishedAt": "2026-04-05T01:12:07Z",
          "updatedAt": "2026-05-23T04:31:40Z",
          "rawId": "MemPalace/mempalace"
        },
        {
          "id": "github-1sa7yv6",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "oh-my-openagent",
            "zh-CN": "oh-my-openagent"
          },
          "summary_i18n": {
            "en": "omo; the best agent harness - previously oh-my-opencode",
            "zh-CN": "基于 TypeScript 的高效 AI 代理框架 支持多模型集成 适合开发者快速构建智能应用"
          },
          "reason_i18n": {
            "en": "59065 stars · TypeScript · rising/classic",
            "zh-CN": "59065 星 · TypeScript · rising/classic"
          },
          "url": "https://github.com/code-yeongyu/oh-my-openagent",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 88.6,
          "metrics": {
            "stars": 59065,
            "forks": 4807,
            "language": "TypeScript",
            "badges": [
              "rising",
              "classic",
              "hot"
            ]
          },
          "topics": [
            "ai",
            "ai-agents",
            "amp",
            "anthropic",
            "chatgpt",
            "claude",
            "claude-code",
            "claude-skills"
          ],
          "publishedAt": "2025-12-03T01:40:05Z",
          "updatedAt": "2026-05-23T05:03:55Z",
          "rawId": "code-yeongyu/oh-my-openagent"
        },
        {
          "id": "github-1991tmj",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "zeroclaw",
            "zh-CN": "zeroclaw"
          },
          "summary_i18n": {
            "en": "Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀",
            "zh-CN": "轻量自主的 AI 个人助手框架 支持多平台部署 适合开发者与 AI 爱好者使用"
          },
          "reason_i18n": {
            "en": "31537 stars · Rust · rising/hot",
            "zh-CN": "31537 星 · Rust · rising/hot"
          },
          "url": "https://github.com/zeroclaw-labs/zeroclaw",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 88.5,
          "metrics": {
            "stars": 31537,
            "forks": 4647,
            "language": "Rust",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "agent",
            "agentic",
            "ai",
            "infra",
            "ml",
            "openclaw",
            "os",
            "zeroclaw"
          ],
          "publishedAt": "2026-02-13T08:56:04Z",
          "updatedAt": "2026-05-23T05:34:57Z",
          "rawId": "zeroclaw-labs/zeroclaw"
        },
        {
          "id": "github-18ukxl2",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "terax-ai",
            "zh-CN": "terax-ai"
          },
          "summary_i18n": {
            "en": "Lightweight (7MB) Terminal-first AI-native dev workspace",
            "zh-CN": "轻量终端优先的 AI 原生开发环境 支持多平台 适合开发者与 AI 工具使用者"
          },
          "reason_i18n": {
            "en": "4556 stars · TypeScript · new/rising",
            "zh-CN": "4556 星 · TypeScript · new/rising"
          },
          "url": "https://github.com/crynta/terax-ai",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 87.9,
          "metrics": {
            "stars": 4556,
            "forks": 484,
            "language": "TypeScript",
            "badges": [
              "new",
              "rising",
              "hot"
            ]
          },
          "topics": [
            "agents",
            "ai",
            "code-editor",
            "linux",
            "macos",
            "reactjs",
            "rust",
            "tauri"
          ],
          "publishedAt": "2026-04-21T18:33:12Z",
          "updatedAt": "2026-05-23T01:03:59Z",
          "rawId": "crynta/terax-ai"
        },
        {
          "id": "github-1unjgo6",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "hyperframes",
            "zh-CN": "hyperframes"
          },
          "summary_i18n": {
            "en": "Write HTML. Render video. Built for agents.",
            "zh-CN": "一个用 TypeScript 构建的 HTML 动画视频生成框架，支持高效渲染和复杂动画效果，适合开发者快速实现动态内容。"
          },
          "reason_i18n": {
            "en": "20543 stars · TypeScript · rising/hot",
            "zh-CN": "20543 星 · TypeScript · rising/hot"
          },
          "url": "https://github.com/heygen-com/hyperframes",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 87.5,
          "metrics": {
            "stars": 20543,
            "forks": 1927,
            "language": "TypeScript",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "ai",
            "animation",
            "ffmpeg",
            "framework",
            "gsap",
            "html",
            "mcp",
            "puppeteer"
          ],
          "publishedAt": "2026-03-10T01:51:06Z",
          "updatedAt": "2026-05-23T05:12:21Z",
          "rawId": "heygen-com/hyperframes"
        },
        {
          "id": "github-nb8jo9",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "career-ops",
            "zh-CN": "career-ops"
          },
          "summary_i18n": {
            "en": "AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.",
            "zh-CN": "基于 Claude Code 的 AI 职业求职系统，支持 14 种技能模式，提供 Go 控制台与批量处理功能，适合开发者提升求职效率。"
          },
          "reason_i18n": {
            "en": "46742 stars · JavaScript · rising/hot",
            "zh-CN": "46742 星 · JavaScript · rising/hot"
          },
          "url": "https://github.com/santifer/career-ops",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 86,
          "metrics": {
            "stars": 46742,
            "forks": 9768,
            "language": "JavaScript",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "ai-agent",
            "anthropic",
            "automation",
            "career",
            "claude",
            "claude-code",
            "cli",
            "golang"
          ],
          "publishedAt": "2026-04-04T18:21:18Z",
          "updatedAt": "2026-05-22T16:53:06Z",
          "rawId": "santifer/career-ops"
        },
        {
          "id": "github-1e7f16v",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "antigravity-awesome-skills",
            "zh-CN": "antigravity-awesome-skills"
          },
          "summary_i18n": {
            "en": "Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.",
            "zh-CN": "提供1400+ AI代理技能库，支持多种AI工具，适合开发者快速构建智能工作流。"
          },
          "reason_i18n": {
            "en": "38410 stars · Python · rising/hot",
            "zh-CN": "38410 星 · Python · rising/hot"
          },
          "url": "https://github.com/sickn33/antigravity-awesome-skills",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 85.9,
          "metrics": {
            "stars": 38410,
            "forks": 6256,
            "language": "Python",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "agent-skills",
            "agentic-skills",
            "ai-agent-skills",
            "ai-agents",
            "ai-coding",
            "ai-workflows",
            "antigravity",
            "antigravity-skills"
          ],
          "publishedAt": "2026-01-14T17:48:09Z",
          "updatedAt": "2026-05-22T07:15:19Z",
          "rawId": "sickn33/antigravity-awesome-skills"
        },
        {
          "id": "github-bvhk8f",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "rtk",
            "zh-CN": "rtk"
          },
          "summary_i18n": {
            "en": "CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies",
            "zh-CN": "用 Rust 实现的 CLI 代理减少 60-90% LLM 调用成本，适合开发者提升效率。"
          },
          "reason_i18n": {
            "en": "52974 stars · Rust · rising/classic",
            "zh-CN": "52974 星 · Rust · rising/classic"
          },
          "url": "https://github.com/rtk-ai/rtk",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 85.1,
          "metrics": {
            "stars": 52974,
            "forks": 3217,
            "language": "Rust",
            "badges": [
              "rising",
              "classic",
              "hot"
            ]
          },
          "topics": [
            "agentic-coding",
            "ai-coding",
            "anthropic",
            "claude-code",
            "cli",
            "command-line-tool",
            "cost-reduction",
            "developer-tools"
          ],
          "publishedAt": "2026-01-22T16:54:16Z",
          "updatedAt": "2026-05-22T16:04:00Z",
          "rawId": "rtk-ai/rtk"
        },
        {
          "id": "github-1c4eaeq",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "DeepSeek-TUI",
            "zh-CN": "DeepSeek-TUI"
          },
          "summary_i18n": {
            "en": "Coding agent for DeepSeek models that runs in your terminal",
            "zh-CN": "用终端运行的 DeepSeek 模型代码助手，支持 TUI 界面，适合开发者高效编码。"
          },
          "reason_i18n": {
            "en": "33593 stars · Rust · rising/hot",
            "zh-CN": "33593 星 · Rust · rising/hot"
          },
          "url": "https://github.com/Hmbown/DeepSeek-TUI",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 85,
          "metrics": {
            "stars": 33593,
            "forks": 2876,
            "language": "Rust",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "cli",
            "deepseek",
            "llm",
            "rust",
            "terminal",
            "tui"
          ],
          "publishedAt": "2026-01-19T18:21:01Z",
          "updatedAt": "2026-05-21T09:14:54Z",
          "rawId": "Hmbown/DeepSeek-TUI"
        },
        {
          "id": "github-jq0aya",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "OpenViking",
            "zh-CN": "OpenViking"
          },
          "summary_i18n": {
            "en": "OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context de…",
            "zh-CN": "OpenViking 是面向 AI 代理的开源上下文数据库，支持层级化管理与自演化，适合开发智能代理系统。"
          },
          "reason_i18n": {
            "en": "24529 stars · Python · rising/hot",
            "zh-CN": "24529 星 · Python · rising/hot"
          },
          "url": "https://github.com/volcengine/OpenViking",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 84.5,
          "metrics": {
            "stars": 24529,
            "forks": 1846,
            "language": "Python",
            "badges": [
              "rising",
              "hot"
            ]
          },
          "topics": [
            "agent",
            "agentic-rag",
            "ai-agents",
            "clawbot",
            "context-database",
            "context-engineering",
            "filesystem",
            "llm"
          ],
          "publishedAt": "2026-01-05T07:11:17Z",
          "updatedAt": "2026-05-22T12:21:54Z",
          "rawId": "volcengine/OpenViking"
        },
        {
          "id": "github-1qgymgt",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "clawsweeper",
            "zh-CN": "clawsweeper"
          },
          "summary_i18n": {
            "en": "ClawSweeper scans all issues and PRs and suggest what we can close, and why. It runs every PR / Issue once a week.",
            "zh-CN": "ClawSweeper 自动分析 GitHub 问题和 PR，建议可关闭项及原因，适合团队提升评审效率。"
          },
          "reason_i18n": {
            "en": "1674 stars · JavaScript · new/rising",
            "zh-CN": "1674 星 · JavaScript · new/rising"
          },
          "url": "https://github.com/openclaw/clawsweeper",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 84,
          "metrics": {
            "stars": 1674,
            "forks": 221,
            "language": "JavaScript",
            "badges": [
              "new",
              "rising",
              "hot"
            ]
          },
          "topics": [
            "ai",
            "bot",
            "openclaw",
            "review"
          ],
          "publishedAt": "2026-04-23T22:14:49Z",
          "updatedAt": "2026-05-23T04:56:51Z",
          "rawId": "openclaw/clawsweeper"
        },
        {
          "id": "github-itoazu",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "opensquilla",
            "zh-CN": "opensquilla"
          },
          "summary_i18n": {
            "en": "OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density",
            "zh-CN": "开源 AI 代理框架 在相同预算下提升智能密度 适合开发者和研究者使用"
          },
          "reason_i18n": {
            "en": "1490 stars · Python · new/rising",
            "zh-CN": "1490 星 · Python · new/rising"
          },
          "url": "https://github.com/opensquilla/opensquilla",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 82.9,
          "metrics": {
            "stars": 1490,
            "forks": 107,
            "language": "Python",
            "badges": [
              "new",
              "rising",
              "hot"
            ]
          },
          "topics": [
            "agent",
            "ai",
            "ai-agents",
            "deep-learning",
            "foundation-models",
            "llm",
            "mcp",
            "memory"
          ],
          "publishedAt": "2026-05-06T17:43:05Z",
          "updatedAt": "2026-05-23T01:47:29Z",
          "rawId": "opensquilla/opensquilla"
        },
        {
          "id": "github-1lyir2n",
          "sectionId": "github",
          "kind": "github",
          "kindLabel": {
            "en": "GitHub",
            "zh-CN": "开源"
          },
          "route": "/github",
          "accent": "#10b981",
          "title_i18n": {
            "en": "design-extract",
            "zh-CN": "design-extract"
          },
          "summary_i18n": {
            "en": "Extract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android Compose, Flutter, WordPress), Tailwind v4, Figma variables, sha…",
            "zh-CN": "一键提取网站完整设计系统，支持多平台和无障碍优化，适合前端和设计师使用。"
          },
          "reason_i18n": {
            "en": "2873 stars · JavaScript · new/rising",
            "zh-CN": "2873 星 · JavaScript · new/rising"
          },
          "url": "https://github.com/Manavarya09/design-extract",
          "page": null,
          "source": "GitHub",
          "host": "github.com",
          "score": 82.8,
          "metrics": {
            "stars": 2873,
            "forks": 262,
            "language": "JavaScript",
            "badges": [
              "new",
              "rising",
              "hot"
            ]
          },
          "topics": [
            "accessibility",
            "agent-skill",
            "ai",
            "chrome-extension",
            "claude-code-plugin",
            "cli",
            "css",
            "cursor"
          ],
          "publishedAt": "2026-04-15T10:11:22Z",
          "updatedAt": "2026-05-21T15:01:36Z",
          "rawId": "Manavarya09/design-extract"
        }
      ]
    },
    {
      "id": "tools",
      "title": {
        "en": "Tools",
        "zh-CN": "工具"
      },
      "route": "/category/newly-added",
      "accent": "#2563eb",
      "count": 3015,
      "sourceUpdatedAt": null,
      "items": [
        {
          "id": "tools-qiarow",
          "sectionId": "tools",
          "kind": "tools",
          "kindLabel": {
            "en": "Tools",
            "zh-CN": "工具"
          },
          "route": "/tool/devin-ai",
          "accent": "#2563eb",
          "title_i18n": {
            "en": "Devin",
            "zh-CN": "Devin"
          },
          "summary_i18n": {
            "en": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务",
            "zh-CN": "Cognition Labs 的 AI 软件工程师，能自主完成编程任务"
          },
          "reason_i18n": {
            "en": "AI Agent · 4.5 rating · hot",
            "zh-CN": "AI Agent · 评分 4.5 · 热门"
          },
          "url": "https://devin.ai",
          "page": "https://ai123box.com/tool/devin-ai",
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            "isNew": false,
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            "isNew": false,
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