[{"data":1,"prerenderedAt":1288},["ShallowReactive",2],{"doc-page:\u002Fdocs\u002Fai-tools":3},{"doc":4,"prev":1246,"next":1254,"resolvedType":8,"readingMinutes":964,"audience":1262,"checklist":1266,"related":1270},{"path":5,"title":6,"description":7,"docType":8,"resourceKind":9,"categoryId":10,"categoryLabel":11,"updatedAt":12,"publishedAt":12,"icon":13,"body":14},"\u002Fdocs\u002Fai-tools","AI 工具合集","主流 AI 对话助手、编程助手、模型评测、提示词优化与模型库","article",null,"ai-tools","AI 工具","2026-02-19","i-carbon-chat-bot",{"type":15,"value":16,"toc":1210},"minimark",[17,21,25,29,64,67,70,215,218,278,284,287,292,299,388,391,397,456,459,517,521,526,600,603,647,650,653,664,667,670,684,687,690,701,704,707,710,713,723,727,771,774,832,835,839,881,884,887,905,908,912,916,1003,1007,1010,1061,1064,1090,1093,1096,1099,1102,1105,1108,1111,1122,1125,1153,1156,1206],[18,19,6],"h1",{"id":20},"ai-工具合集",[22,23,24],"p",{},"这页更适合作为“AI 工具导航入口”，而不是单纯的链接堆叠。真正决定效率的不是工具数量，而是你能否按目标把聊天、编码、图像、本地模型和自动化这几类能力拼成一条稳定工作流。",[26,27,28],"h2",{"id":28},"先按目标选",[30,31,32,40,46,52,58],"ul",{},[33,34,35,39],"li",{},[36,37,38],"strong",{},"想找一个主力聊天助手","：先从 ChatGPT、DeepSeek、Gemini、Perplexity 里选一个长期使用",[33,41,42,45],{},[36,43,44],{},"想提升写代码效率","：优先看 AI IDE、终端代理、Context7 这类直接嵌入开发流的工具",[33,47,48,51],{},[36,49,50],{},"想快速做页面或 MVP","：优先看 AI 应用生成器",[33,53,54,57],{},[36,55,56],{},"想控制成本或离线运行","：优先看 Ollama、本地模型库和本地部署路线",[33,59,60,63],{},[36,61,62],{},"想比较模型效果","：先用 Arena、Artificial Analysis、LLM Rank 做横向评估",[22,65,66],{},"如果你现在还没有固定工作流，建议先选“一主一辅”：一个主力对话工具 + 一个主力编码工具，先用顺再补其它环节。",[26,68,69],{"id":69},"对话助手",[71,72,73,89],"table",{},[74,75,76],"thead",{},[77,78,79,83,86],"tr",{},[80,81,82],"th",{},"工具",[80,84,85],{},"说明",[80,87,88],{},"地址",[90,91,92,110,125,140,155,170,185,200],"tbody",{},[77,93,94,98,101],{},[95,96,97],"td",{},"ChatGPT",[95,99,100],{},"OpenAI 旗舰模型",[95,102,103],{},[104,105,109],"a",{"href":106,"rel":107},"https:\u002F\u002Fchatgpt.com\u002F",[108],"nofollow","chatgpt.com",[77,111,112,115,118],{},[95,113,114],{},"DeepSeek",[95,116,117],{},"国产高性价比模型",[95,119,120],{},[104,121,124],{"href":122,"rel":123},"https:\u002F\u002Fchat.deepseek.com\u002F",[108],"chat.deepseek.com",[77,126,127,130,133],{},[95,128,129],{},"Gemini",[95,131,132],{},"Google AI",[95,134,135],{},[104,136,139],{"href":137,"rel":138},"https:\u002F\u002Fgemini.google.com\u002F",[108],"gemini.google.com",[77,141,142,145,148],{},[95,143,144],{},"Grok",[95,146,147],{},"xAI 模型",[95,149,150],{},[104,151,154],{"href":152,"rel":153},"https:\u002F\u002Fgrok.com\u002F",[108],"grok.com",[77,156,157,160,163],{},[95,158,159],{},"Copilot",[95,161,162],{},"微软 AI 助手",[95,164,165],{},[104,166,169],{"href":167,"rel":168},"https:\u002F\u002Fcopilot.microsoft.com\u002F",[108],"copilot.microsoft.com",[77,171,172,175,178],{},[95,173,174],{},"通义千问",[95,176,177],{},"阿里 Qwen 模型",[95,179,180],{},[104,181,184],{"href":182,"rel":183},"https:\u002F\u002Fwww.qianwen.com\u002Fchat",[108],"qianwen.com",[77,186,187,190,193],{},[95,188,189],{},"Character.AI",[95,191,192],{},"角色扮演对话",[95,194,195],{},[104,196,199],{"href":197,"rel":198},"https:\u002F\u002Fcharacter.ai\u002F",[108],"character.ai",[77,201,202,205,208],{},[95,203,204],{},"Perplexity",[95,206,207],{},"AI 搜索引擎",[95,209,210],{},[104,211,214],{"href":212,"rel":213},"https:\u002F\u002Fwww.perplexity.ai\u002F",[108],"perplexity.ai",[26,216,217],{"id":217},"聚合平台",[71,219,220,231],{},[74,221,222],{},[77,223,224,227,229],{},[80,225,226],{},"平台",[80,228,85],{},[80,230,88],{},[90,232,233,248,263],{},[77,234,235,238,241],{},[95,236,237],{},"Chatgot",[95,239,240],{},"多模型聚合聊天",[95,242,243],{},[104,244,247],{"href":245,"rel":246},"https:\u002F\u002Fstart.chatgot.io\u002F",[108],"chatgot.io",[77,249,250,253,256],{},[95,251,252],{},"NeatChat",[95,254,255],{},"免费 AI 聊天界面",[95,257,258],{},[104,259,262],{"href":260,"rel":261},"https:\u002F\u002Ffreechat.nloli.xyz\u002F#\u002Fchat",[108],"freechat.nloli.xyz",[77,264,265,268,271],{},[95,266,267],{},"Chatbot Arena",[95,269,270],{},"LMSYS 模型盲测对比",[95,272,273],{},[104,274,277],{"href":275,"rel":276},"https:\u002F\u002Flmarena.ai\u002F",[108],"lmarena.ai",[279,280,281],"blockquote",{},[22,282,283],{},"聚合平台适合试模型和比效果，不一定适合长期沉淀知识、项目上下文和个人工作流。",[26,285,286],{"id":286},"编程助手",[288,289,291],"h3",{"id":290},"ai-ide","AI IDE",[22,293,294,295],{},"详见 → ",[104,296,298],{"href":297},"\u002Fdocs\u002Fai-ide","AI IDE 与编辑器",[71,300,301,311],{},[74,302,303],{},[77,304,305,307,309],{},[80,306,82],{},[80,308,85],{},[80,310,88],{},[90,312,313,328,343,358,373],{},[77,314,315,318,321],{},[95,316,317],{},"Cursor",[95,319,320],{},"AI-first 代码编辑器",[95,322,323],{},[104,324,327],{"href":325,"rel":326},"https:\u002F\u002Fwww.cursor.com\u002F",[108],"cursor.com",[77,329,330,333,336],{},[95,331,332],{},"Windsurf",[95,334,335],{},"Cascade 智能体 IDE",[95,337,338],{},[104,339,342],{"href":340,"rel":341},"https:\u002F\u002Fwindsurf.com\u002F",[108],"windsurf.com",[77,344,345,348,351],{},[95,346,347],{},"Kiro",[95,349,350],{},"AWS Spec 驱动 AI IDE",[95,352,353],{},[104,354,357],{"href":355,"rel":356},"https:\u002F\u002Fkiro.dev\u002F",[108],"kiro.dev",[77,359,360,363,366],{},[95,361,362],{},"Trae",[95,364,365],{},"ByteDance 免费 AI IDE",[95,367,368],{},[104,369,372],{"href":370,"rel":371},"https:\u002F\u002Fwww.trae.ai\u002F",[108],"trae.ai",[77,374,375,378,381],{},[95,376,377],{},"GitHub Copilot",[95,379,380],{},"VS Code AI 补全与对话",[95,382,383],{},[104,384,387],{"href":385,"rel":386},"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot",[108],"github.com\u002Ffeatures\u002Fcopilot",[288,389,390],{"id":390},"终端代理",[22,392,294,393],{},[104,394,396],{"href":395},"\u002Fdocs\u002Fai-agents-cli","AI 终端代理与自主工具",[71,398,399,409],{},[74,400,401],{},[77,402,403,405,407],{},[80,404,82],{},[80,406,85],{},[80,408,88],{},[90,410,411,426,441],{},[77,412,413,416,419],{},[95,414,415],{},"Claude Code",[95,417,418],{},"Anthropic 终端编程代理",[95,420,421],{},[104,422,425],{"href":423,"rel":424},"https:\u002F\u002Fdocs.anthropic.com\u002Fen\u002Fdocs\u002Fclaude-code",[108],"docs.anthropic.com",[77,427,428,431,434],{},[95,429,430],{},"Codex CLI",[95,432,433],{},"OpenAI 终端编程代理",[95,435,436],{},[104,437,440],{"href":438,"rel":439},"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fcodex",[108],"GitHub",[77,442,443,446,449],{},[95,444,445],{},"Warp",[95,447,448],{},"AI 驱动的现代终端",[95,450,451],{},[104,452,455],{"href":453,"rel":454},"https:\u002F\u002Fwww.warp.dev\u002F",[108],"warp.dev",[288,457,458],{"id":458},"其他编程工具",[71,460,461,471],{},[74,462,463],{},[77,464,465,467,469],{},[80,466,82],{},[80,468,85],{},[80,470,88],{},[90,472,473,488,503],{},[77,474,475,478,481],{},[95,476,477],{},"Google AI Studio",[95,479,480],{},"Gemini 模型 Playground",[95,482,483],{},[104,484,487],{"href":485,"rel":486},"https:\u002F\u002Faistudio.google.com\u002Fapp\u002Fprompts\u002Fnew_chat",[108],"aistudio.google.com",[77,489,490,493,496],{},[95,491,492],{},"Jules",[95,494,495],{},"Google AI 编程助手",[95,497,498],{},[104,499,502],{"href":500,"rel":501},"https:\u002F\u002Fjules.google.com\u002Ftask",[108],"jules.google.com",[77,504,505,508,511],{},[95,506,507],{},"Context7",[95,509,510],{},"为 LLM 提供最新代码文档的 MCP 服务器",[95,512,513],{},[104,514,440],{"href":515,"rel":516},"https:\u002F\u002Fgithub.com\u002Fupstash\u002Fcontext7",[108],[288,518,520],{"id":519},"ai-应用生成器","AI 应用生成器",[22,522,294,523],{},[104,524,520],{"href":525},"\u002Fdocs\u002Fai-app-builders",[71,527,528,538],{},[74,529,530],{},[77,531,532,534,536],{},[80,533,82],{},[80,535,85],{},[80,537,88],{},[90,539,540,555,570,585],{},[77,541,542,545,548],{},[95,543,544],{},"v0",[95,546,547],{},"Vercel AI UI 生成",[95,549,550],{},[104,551,554],{"href":552,"rel":553},"https:\u002F\u002Fv0.dev\u002F",[108],"v0.dev",[77,556,557,560,563],{},[95,558,559],{},"Bolt.new",[95,561,562],{},"浏览器内全栈开发",[95,564,565],{},[104,566,569],{"href":567,"rel":568},"https:\u002F\u002Fbolt.new\u002F",[108],"bolt.new",[77,571,572,575,578],{},[95,573,574],{},"Lovable",[95,576,577],{},"非技术用户应用构建",[95,579,580],{},[104,581,584],{"href":582,"rel":583},"https:\u002F\u002Flovable.dev\u002F",[108],"lovable.dev",[77,586,587,590,593],{},[95,588,589],{},"Replit Agent",[95,591,592],{},"在线 IDE + AI 代理",[95,594,595],{},[104,596,599],{"href":597,"rel":598},"https:\u002F\u002Freplit.com\u002F",[108],"replit.com",[26,601,602],{"id":602},"评测与分析",[71,604,605,615],{},[74,606,607],{},[77,608,609,611,613],{},[80,610,226],{},[80,612,85],{},[80,614,88],{},[90,616,617,632],{},[77,618,619,622,625],{},[95,620,621],{},"LLM Rank",[95,623,624],{},"大语言模型评测排行榜",[95,626,627],{},[104,628,631],{"href":629,"rel":630},"https:\u002F\u002Fllmrank.cn\u002F",[108],"llmrank.cn",[77,633,634,637,640],{},[95,635,636],{},"Artificial Analysis",[95,638,639],{},"AI 模型与 API 性能价格分析",[95,641,642],{},[104,643,646],{"href":644,"rel":645},"https:\u002F\u002Fartificialanalysis.ai\u002F",[108],"artificialanalysis.ai",[26,648,649],{"id":649},"推荐组合",[288,651,652],{"id":652},"轻量日常组合",[30,654,655,658,661],{},[33,656,657],{},"一个主力对话工具：ChatGPT \u002F DeepSeek \u002F Gemini 三选一",[33,659,660],{},"一个搜索型工具：Perplexity",[33,662,663],{},"一个编程工具：Cursor \u002F Copilot \u002F Codex CLI",[22,665,666],{},"这套组合适合大多数个人用户，投入低、切换少、上手快。",[288,668,669],{"id":669},"开发者增强组合",[30,671,672,675,678,681],{},[33,673,674],{},"AI IDE：Cursor \u002F Windsurf \u002F Kiro",[33,676,677],{},"终端代理：Codex CLI \u002F Claude Code \u002F Gemini CLI",[33,679,680],{},"文档增强：Context7",[33,682,683],{},"本地模型：Ollama",[22,685,686],{},"这套更适合需要长期写代码、改仓库、跑命令、对接 API 的场景。",[288,688,689],{"id":689},"本地与隐私优先组合",[30,691,692,695,698],{},[33,693,694],{},"本地模型运行：Ollama",[33,696,697],{},"本地界面或工作流：可结合本地 WebUI \u002F API 网关",[33,699,700],{},"云端模型只用于高质量生成、推理或最终校验",[22,702,703],{},"适合对隐私、网络可用性或离线使用比较敏感的场景。",[26,705,706],{"id":706},"提示词工具",[288,708,709],{"id":709},"提示词优化器",[22,711,712],{},"在线 Prompt 优化工具，帮助改进提示词效果：",[30,714,715],{},[33,716,717,718],{},"地址：",[104,719,722],{"href":720,"rel":721},"https:\u002F\u002Fprompt.always200.com\u002F",[108],"prompt.always200.com",[26,724,726],{"id":725},"ai-模型库","AI 模型库",[71,728,729,739],{},[74,730,731],{},[77,732,733,735,737],{},[80,734,226],{},[80,736,85],{},[80,738,88],{},[90,740,741,756],{},[77,742,743,746,749],{},[95,744,745],{},"Ollama",[95,747,748],{},"本地大模型运行",[95,750,751],{},[104,752,755],{"href":753,"rel":754},"https:\u002F\u002Follama.com\u002Flibrary",[108],"ollama.com\u002Flibrary",[77,757,758,761,764],{},[95,759,760],{},"Civitai",[95,762,763],{},"AI 图像生成模型社区",[95,765,766],{},[104,767,770],{"href":768,"rel":769},"https:\u002F\u002Fcivitai.com\u002Fmodels",[108],"civitai.com",[26,772,773],{"id":773},"社区与导航",[71,775,776,786],{},[74,777,778],{},[77,779,780,782,784],{},[80,781,226],{},[80,783,85],{},[80,785,88],{},[90,787,788,803,818],{},[77,789,790,793,796],{},[95,791,792],{},"LINUX DO",[95,794,795],{},"技术社区，AI 讨论活跃",[95,797,798],{},[104,799,802],{"href":800,"rel":801},"https:\u002F\u002Flinux.do\u002F",[108],"linux.do",[77,804,805,808,811],{},[95,806,807],{},"免费 AI 工具箱",[95,809,810],{},"AI 工具导航站",[95,812,813],{},[104,814,817],{"href":815,"rel":816},"https:\u002F\u002Fnav.laogou717.com\u002F",[108],"nav.laogou717.com",[77,819,820,823,826],{},[95,821,822],{},"动手学深度学习",[95,824,825],{},"李沐深度学习教程",[95,827,828],{},[104,829,440],{"href":830,"rel":831},"https:\u002F\u002Fgithub.com\u002Fd2l-ai\u002Fberkeley-stat-157\u002Ftree\u002Fmaster\u002Fslides-zh",[108],[26,833,834],{"id":834},"自主代理",[22,836,294,837],{},[104,838,396],{"href":395},[71,840,841,851],{},[74,842,843],{},[77,844,845,847,849],{},[80,846,82],{},[80,848,85],{},[80,850,88],{},[90,852,853,867],{},[77,854,855,858,861],{},[95,856,857],{},"OpenClaw",[95,859,860],{},"开源自主 AI 代理，支持消息平台控制",[95,862,863],{},[104,864,440],{"href":865,"rel":866},"https:\u002F\u002Fgithub.com\u002Fnicepkg\u002Fopenclaw",[108],[77,868,869,872,875],{},[95,870,871],{},"Gemini CLI",[95,873,874],{},"Google 终端代理，百万 Token 上下文",[95,876,877],{},[104,878,440],{"href":879,"rel":880},"https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\u002Fgemini-cli",[108],[26,882,883],{"id":883},"推荐落地顺序",[22,885,886],{},"如果你准备系统接入 AI，建议按这个顺序推进：",[888,889,890,893,896,899,902],"ol",{},[33,891,892],{},"先确定一个主力聊天工具",[33,894,895],{},"再补一个主力编码工具",[33,897,898],{},"接着整理 API Key、模型配额和成本跟踪",[33,900,901],{},"再尝试本地模型或终端代理",[33,903,904],{},"最后再做自动化、多工具编排和代理式工作流",[22,906,907],{},"这样可以避免一开始堆太多工具，最后哪个都没真正用熟。",[26,909,911],{"id":910},"进阶本地部署-ai-模型","进阶：本地部署 AI 模型",[288,913,915],{"id":914},"ollama-本地运行","Ollama 本地运行",[917,918,923],"pre",{"className":919,"code":920,"language":921,"meta":922,"style":922},"language-bash shiki shiki-themes github-light github-dark","# 安装（Windows）\nwinget install Ollama.Ollama\n\n# 运行模型\nollama run llama3.2\nollama run deepseek-r1:8b\n\n# 查看已下载模型\nollama list\n","bash","",[924,925,926,935,949,956,962,974,984,989,995],"code",{"__ignoreMap":922},[927,928,931],"span",{"class":929,"line":930},"line",1,[927,932,934],{"class":933},"sJ8bj","# 安装（Windows）\n",[927,936,938,942,946],{"class":929,"line":937},2,[927,939,941],{"class":940},"sScJk","winget",[927,943,945],{"class":944},"sZZnC"," install",[927,947,948],{"class":944}," Ollama.Ollama\n",[927,950,952],{"class":929,"line":951},3,[927,953,955],{"emptyLinePlaceholder":954},true,"\n",[927,957,959],{"class":929,"line":958},4,[927,960,961],{"class":933},"# 运行模型\n",[927,963,965,968,971],{"class":929,"line":964},5,[927,966,967],{"class":940},"ollama",[927,969,970],{"class":944}," run",[927,972,973],{"class":944}," llama3.2\n",[927,975,977,979,981],{"class":929,"line":976},6,[927,978,967],{"class":940},[927,980,970],{"class":944},[927,982,983],{"class":944}," deepseek-r1:8b\n",[927,985,987],{"class":929,"line":986},7,[927,988,955],{"emptyLinePlaceholder":954},[927,990,992],{"class":929,"line":991},8,[927,993,994],{"class":933},"# 查看已下载模型\n",[927,996,998,1000],{"class":929,"line":997},9,[927,999,967],{"class":940},[927,1001,1002],{"class":944}," list\n",[288,1004,1006],{"id":1005},"api-使用","API 使用",[22,1008,1009],{},"大部分 AI 服务都提供 OpenAI 兼容的 API：",[917,1011,1013],{"className":919,"code":1012,"language":921,"meta":922,"style":922},"curl https:\u002F\u002Fapi.openai.com\u002Fv1\u002Fchat\u002Fcompletions \\\n  -H \"Authorization: Bearer $API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\"model\":\"gpt-4o\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'\n",[924,1014,1015,1027,1044,1053],{"__ignoreMap":922},[927,1016,1017,1020,1023],{"class":929,"line":930},[927,1018,1019],{"class":940},"curl",[927,1021,1022],{"class":944}," https:\u002F\u002Fapi.openai.com\u002Fv1\u002Fchat\u002Fcompletions",[927,1024,1026],{"class":1025},"sj4cs"," \\\n",[927,1028,1029,1032,1035,1039,1042],{"class":929,"line":937},[927,1030,1031],{"class":1025},"  -H",[927,1033,1034],{"class":944}," \"Authorization: Bearer ",[927,1036,1038],{"class":1037},"sVt8B","$API_KEY",[927,1040,1041],{"class":944},"\"",[927,1043,1026],{"class":1025},[927,1045,1046,1048,1051],{"class":929,"line":951},[927,1047,1031],{"class":1025},[927,1049,1050],{"class":944}," \"Content-Type: application\u002Fjson\"",[927,1052,1026],{"class":1025},[927,1054,1055,1058],{"class":929,"line":958},[927,1056,1057],{"class":1025},"  -d",[927,1059,1060],{"class":944}," '{\"model\":\"gpt-4o\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'\n",[26,1062,1063],{"id":1063},"选型提醒",[30,1065,1066,1072,1078,1084],{},[33,1067,1068,1071],{},[36,1069,1070],{},"不要只看模型榜单","：日常体验往往更受上下文管理、界面、延迟、价格和稳定性影响",[33,1073,1074,1077],{},[36,1075,1076],{},"不要同时订阅太多工具","：重叠能力很多，容易花钱但没有真正增效",[33,1079,1080,1083],{},[36,1081,1082],{},"不要忽视数据边界","：代码仓库、私有文档、密钥和客户资料要区分可上传与不可上传",[33,1085,1086,1089],{},[36,1087,1088],{},"不要把“会聊天”当成“能落地”","：真正提升效率的是把模型接入编辑器、终端、脚本和流程里",[26,1091,1092],{"id":1092},"常见问题",[288,1094,1095],{"id":1095},"该先买聊天工具还是编程工具",[22,1097,1098],{},"如果你主要是写代码、改项目、查文档，优先补编程工具；如果你主要是写作、总结、翻译、问答，优先补聊天工具。",[288,1100,1101],{"id":1101},"云端模型和本地模型怎么分工",[22,1103,1104],{},"一个比较稳的做法是：日常轻任务、本地检索、隐私数据优先本地模型；高质量推理、复杂代码生成、长上下文任务交给云端模型。",[288,1106,1107],{"id":1107},"为什么换了很多工具还是没提效",[22,1109,1110],{},"通常不是模型不够强，而是：",[30,1112,1113,1116,1119],{},[33,1114,1115],{},"没有固定主力工具",[33,1117,1118],{},"没把提示词、模板和上下文沉淀下来",[33,1120,1121],{},"没把 AI 接入现有 IDE、终端、脚本和项目结构",[26,1123,1124],{"id":1124},"延伸阅读",[30,1126,1127,1133,1137,1141,1147],{},[33,1128,1129],{},[104,1130,1132],{"href":1131},"\u002Fdocs\u002Fai-api-usage","AI API 使用与计费",[33,1134,1135],{},[104,1136,298],{"href":297},[33,1138,1139],{},[104,1140,396],{"href":395},[33,1142,1143],{},[104,1144,1146],{"href":1145},"\u002Fdocs\u002Flocal-llm-deployment","本地 LLM 部署",[33,1148,1149],{},[104,1150,1152],{"href":1151},"\u002Fdocs\u002Fprompt-engineering","提示词工程",[26,1154,1155],{"id":1155},"参考链接",[30,1157,1158,1166,1174,1182,1190,1198],{},[33,1159,1160,1165],{},[104,1161,1164],{"href":1162,"rel":1163},"https:\u002F\u002Fopenai.com\u002F",[108],"OpenAI 官网"," — ChatGPT 与 API",[33,1167,1168,1173],{},[104,1169,1172],{"href":1170,"rel":1171},"https:\u002F\u002Fstatus.openai.com\u002F",[108],"OpenAI 状态"," — 服务状态监控",[33,1175,1176,1181],{},[104,1177,1180],{"href":1178,"rel":1179},"https:\u002F\u002Fwww.deepseek.com\u002F",[108],"DeepSeek 官网"," — 模型与 API",[33,1183,1184,1189],{},[104,1185,1188],{"href":1186,"rel":1187},"https:\u002F\u002Follama.com\u002F",[108],"Ollama 官网"," — 本地模型运行",[33,1191,1192,1197],{},[104,1193,1196],{"href":1194,"rel":1195},"https:\u002F\u002Fgithub.com\u002Follama\u002Follama",[108],"Ollama GitHub"," — 源码",[33,1199,1200,1205],{},[104,1201,1204],{"href":1202,"rel":1203},"https:\u002F\u002Fhuggingface.co\u002F",[108],"Hugging Face"," — 模型与数据集平台",[1207,1208,1209],"style",{},"html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}",{"title":922,"searchDepth":937,"depth":937,"links":1211},[1212,1213,1214,1215,1221,1222,1227,1230,1231,1232,1233,1234,1238,1239,1244,1245],{"id":28,"depth":937,"text":28},{"id":69,"depth":937,"text":69},{"id":217,"depth":937,"text":217},{"id":286,"depth":937,"text":286,"children":1216},[1217,1218,1219,1220],{"id":290,"depth":951,"text":291},{"id":390,"depth":951,"text":390},{"id":458,"depth":951,"text":458},{"id":519,"depth":951,"text":520},{"id":602,"depth":937,"text":602},{"id":649,"depth":937,"text":649,"children":1223},[1224,1225,1226],{"id":652,"depth":951,"text":652},{"id":669,"depth":951,"text":669},{"id":689,"depth":951,"text":689},{"id":706,"depth":937,"text":706,"children":1228},[1229],{"id":709,"depth":951,"text":709},{"id":725,"depth":937,"text":726},{"id":773,"depth":937,"text":773},{"id":834,"depth":937,"text":834},{"id":883,"depth":937,"text":883},{"id":910,"depth":937,"text":911,"children":1235},[1236,1237],{"id":914,"depth":951,"text":915},{"id":1005,"depth":951,"text":1006},{"id":1063,"depth":937,"text":1063},{"id":1092,"depth":937,"text":1092,"children":1240},[1241,1242,1243],{"id":1095,"depth":951,"text":1095},{"id":1101,"depth":951,"text":1101},{"id":1107,"depth":951,"text":1107},{"id":1124,"depth":937,"text":1124},{"id":1155,"depth":937,"text":1155},{"path":1247,"title":1248,"description":1249,"docType":8,"resourceKind":9,"categoryId":1250,"categoryLabel":1251,"updatedAt":1252,"publishedAt":1252,"icon":1253},"\u002Fdocs\u002Fgaming-resources","游戏资源与工具","Steam 数据库、Mod 社区、Valorant 工具、策略游戏 Wiki 等","entertainment-resources","娱乐与资源","2026-02-22","i-carbon-game-console",{"path":1255,"title":1256,"description":1257,"docType":8,"resourceKind":9,"categoryId":1258,"categoryLabel":1259,"updatedAt":1260,"publishedAt":1260,"icon":1261},"\u002Fdocs\u002Fcloud-services","云服务与部署平台","Vercel、Cloudflare、AWS、Azure 等云平台使用指南与管理入口","infra-deployment","服务器与部署","2026-02-11","i-carbon-cloud",[1263,1264,1265],"希望把零散经验整理成长期可复用工作流的人","正在使用 AI 工具、Agent 或自动化工作流的人","希望阅读时顺手建立自己的操作清单或收藏体系的人",[1267,1268,1269],"先浏览标题、摘要和目录，带着问题阅读会更高效","确认模型供应商、API Key、CLI 工具链与本地资源是否已准备好","如果页面里提到相关文档，尽量一起打开对照，效果通常更完整",[1271,1276,1281,1284],{"path":1272,"title":1273,"description":1274,"docType":8,"resourceKind":9,"categoryId":10,"categoryLabel":11,"updatedAt":1275,"publishedAt":1275,"icon":13},"\u002Fdocs\u002Fskills-guide","AI Agent Skills 指南","理解 skills 的作用、目录结构、编写方式，以及它与 MCP 的关系","2026-03-08",{"path":1277,"title":1278,"description":1279,"docType":8,"resourceKind":9,"categoryId":10,"categoryLabel":11,"updatedAt":1280,"publishedAt":1280,"icon":13},"\u002Fdocs\u002Fai-local-models","本地 AI 模型部署","Ollama、LM Studio、vLLM 本地大模型运行与 API 调用","2026-02-28",{"path":1145,"title":1282,"description":1283,"docType":8,"resourceKind":9,"categoryId":10,"categoryLabel":11,"updatedAt":1280,"publishedAt":1280,"icon":13},"本地 LLM 部署指南","使用 Ollama、vLLM、LM Studio 在本地运行大语言模型",{"path":1285,"title":1286,"description":1287,"docType":8,"resourceKind":9,"categoryId":10,"categoryLabel":11,"updatedAt":1280,"publishedAt":1280,"icon":13},"\u002Fdocs\u002Fai-coding-rules","AI 编程助手规则配置","Cursor Rules、Claude Projects、Kiro Steering 等 AI 编程助手的规则与上下文配置",1776215711222]