[{"data":1,"prerenderedAt":1014},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"compare-cherry-studio-vs-open-webui":9,"compare-a-cherry-studio":10,"compare-b-open-webui":539},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,null,{"id":11,"title":12,"alternatives":13,"api_compatible":9,"body":18,"category":470,"chinese_friendly":471,"cover":472,"description":473,"domestic":474,"extension":475,"faq":476,"free":474,"github":9,"languages":489,"lastVerified":9,"meta":492,"models":9,"navigation":493,"notSuitable":9,"opensource":493,"path":494,"pillar":495,"platforms":496,"priceTable":501,"pricing":510,"published":511,"relatedPlaybooks":512,"relatedReviews":9,"score":515,"self_host":493,"seo":517,"seoTitle":9,"slug":518,"sources":519,"stem":527,"suitable":9,"tagline":528,"tags":529,"updated":522,"verdict":536,"website":537,"__hash__":538},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fcherry-studio.md","Cherry Studio",[14,15,16,17],"coding\u002Flocal\u002Flobe-chat","coding\u002Flocal\u002Flm-studio","coding\u002Flocal\u002Follama","coding\u002Flocal\u002Fopen-webui",{"type":19,"value":20,"toc":455},"minimark",[21,26,30,33,36,83,86,100,106,110,115,132,137,154,157,184,187,338,341,373,377,400,403,429,432],[22,23,25],"h2",{"id":24},"tldr","TL;DR",[27,28,29],"p",{},"Cherry Studio 是一款开源、跨平台（Windows \u002F macOS \u002F Linux \u002F Android）的桌面 AI 客户端，定位『全能 AI 工作台』：把 OpenAI \u002F Anthropic \u002F Google \u002F DeepSeek 等云端模型，以及 Ollama \u002F LM Studio 本地模型，全部聚合到同一个桌面应用里管理。内置 300+ 助手模板、本地 RAG 知识库、Markdown + Mermaid 渲染、MCP 协议支持，所有对话数据本地存储 + WebDAV 备份。AGPL-3.0 开源、GitHub 60k+ stars，企业版可联系商务做私有化部署。",[27,31,32],{},"适合：中文 AI 重度用户、想统一管理多家模型、需要本地知识库 RAG、关注数据本地存储的开发者 \u002F 研究者。不适合：要 Web 端访问 \u002F Docker 自托管 \u002F 团队多人共享 \u002F iOS 端使用。",[22,34,35],{"id":35},"核心能力",[37,38,39,47,53,59,65,71,77],"ul",{},[40,41,42,46],"li",{},[43,44,45],"strong",{},"多模型聚合","：OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek \u002F Qwen \u002F Kimi \u002F Moonshot 等云端 + Ollama \u002F LM Studio 本地",[40,48,49,52],{},[43,50,51],{},"本地 RAG 知识库","：拖拽 PDF \u002F Word \u002F Excel \u002F PPT \u002F 网址 \u002F sitemap → 自动向量化 → 检索增强问答 + 来源追溯",[40,54,55,58],{},[43,56,57],{},"300+ 助手模板","：编程 \u002F 写作 \u002F 翻译 \u002F 学习 \u002F 角色扮演开箱即用，可自定义 System Prompt",[40,60,61,64],{},[43,62,63],{},"MCP 协议","：扩展工具调用 \u002F 联网搜索 \u002F 文件操作",[40,66,67,70],{},[43,68,69],{},"数据本地优先","：对话历史本地存储，WebDAV 同步，不上传第三方",[40,72,73,76],{},[43,74,75],{},"多模态","：图片识别 \u002F PDF 阅读 \u002F Markdown + Mermaid + 代码高亮",[40,78,79,82],{},[43,80,81],{},"AI 绘画 + 翻译","：内置主流 SD \u002F DALL·E \u002F 翻译 API 集成",[22,84,85],{"id":85},"价格",[37,87,88,94],{},[40,89,90,93],{},[43,91,92],{},"开源版","：完全免费，AGPL-3.0",[40,95,96,99],{},[43,97,98],{},"Enterprise","：私有化部署 + 团队协作 + 资源管控，联系销售",[101,102,103],"blockquote",{},[27,104,105],{},"模型 API 费用按你自己绑定的供应商计费；本地 Ollama \u002F LM Studio 零成本。",[22,107,109],{"id":108},"实测mac-m2-中型知识库","实测（Mac M2 + 中型知识库）",[27,111,112],{},[43,113,114],{},"亮点：",[37,116,117,120,123,126,129],{},[40,118,119],{},"中文 UI \u002F 文档 \u002F 社区都顶级，零门槛上手",[40,121,122],{},"本地 RAG 拖入 30+ PDF 后向量化 \u003C 2 分钟（用 bge-m3）",[40,124,125],{},"多模型并排回答：让 Claude \u002F GPT \u002F DeepSeek 同回一个问题做比较",[40,127,128],{},"MCP 接 Brave Search + 自定义工具流畅",[40,130,131],{},"WebDAV 同步坚果云 \u002F 阿里云盘，桌面 + 移动设备数据互通",[27,133,134],{},[43,135,136],{},"踩坑：",[37,138,139,142,145,148,151],{},[40,140,141],{},"没有 Web 端 \u002F Docker 自托管（要这个用 LobeChat）",[40,143,144],{},"iOS 版尚未发布（roadmap 中）",[40,146,147],{},"大型 PDF（>100 MB）向量化偶有失败，要切小",[40,149,150],{},"助手市场质量参差，要自筛",[40,152,153],{},"模型 API 调用全靠你自己付费，新手要先理解 API Key 概念",[22,155,156],{"id":156},"上手",[158,159,160,163,166,175,178,181],"ol",{},[40,161,162],{},"cherry-ai.com 下载客户端（或 GitHub releases）",[40,164,165],{},"设置 → 模型服务 → 填 OpenAI \u002F Claude \u002F DeepSeek API Key",[40,167,168,169],{},"（可选）本地：装 Ollama → Cherry Studio 自动识别 endpoint ",[170,171,172],"a",{"href":172,"rel":173},"http:\u002F\u002Flocalhost:11434",[174],"nofollow",[40,176,177],{},"新建知识库 → 拖文件 \u002F 加网址 → 等向量化",[40,179,180],{},"新对话 → 选模型 → 勾知识库 → 提问",[40,182,183],{},"进阶：自定义助手（System Prompt）+ MCP 扩展工具",[22,185,186],{"id":186},"对比",[188,189,190,211],"table",{},[191,192,193],"thead",{},[194,195,196,200,202,205,208],"tr",{},[197,198,199],"th",{},"维度",[197,201,12],{},[197,203,204],{},"LobeChat",[197,206,207],{},"LM Studio",[197,209,210],{},"Open WebUI",[212,213,214,231,245,261,274,290,305,321],"tbody",{},[194,215,216,220,223,226,228],{},[217,218,219],"td",{},"形态",[217,221,222],{},"桌面",[217,224,225],{},"Web + 桌面",[217,227,222],{},[217,229,230],{},"Docker \u002F 桌面",[194,232,233,235,238,240,243],{},[217,234,45],{},[217,236,237],{},"✅ 云 + 本地",[217,239,237],{},[217,241,242],{},"本地为主",[217,244,237],{},[194,246,247,250,253,255,258],{},[217,248,249],{},"知识库 RAG",[217,251,252],{},"✅ 强",[217,254,252],{},[217,256,257],{},"弱",[217,259,260],{},"✅",[194,262,263,266,268,270,272],{},[217,264,265],{},"MCP",[217,267,260],{},[217,269,260],{},[217,271,257],{},[217,273,260],{},[194,275,276,279,282,285,288],{},[217,277,278],{},"自托管 \u002F Web",[217,280,281],{},"无 Web",[217,283,284],{},"✅ Docker",[217,286,287],{},"无",[217,289,284],{},[194,291,292,295,298,300,303],{},[217,293,294],{},"中文",[217,296,297],{},"5\u002F5",[217,299,297],{},[217,301,302],{},"4\u002F5",[217,304,302],{},[194,306,307,310,313,316,319],{},[217,308,309],{},"开源协议",[217,311,312],{},"AGPL-3.0",[217,314,315],{},"MIT",[217,317,318],{},"闭源（免费）",[217,320,315],{},[194,322,323,326,329,332,335],{},[217,324,325],{},"GitHub Stars",[217,327,328],{},"60k+",[217,330,331],{},"72k+",[217,333,334],{},"–",[217,336,337],{},"126k+",[22,339,340],{"id":340},"避坑",[37,342,343,349,355,361,367],{},[40,344,345,348],{},[43,346,347],{},"API Key 别明文外泄","：客户端配置文件以明文存 Key，机器借出前先清；团队共享用企业版 \u002F 自建中转",[40,350,351,354],{},[43,352,353],{},"知识库别一次塞太多","：单库 1000+ 文档检索质量明显下降，按主题切分多个知识库",[40,356,357,360],{},[43,358,359],{},"嵌入模型选择","：免费 bge-m3 够用；专业用付费 Pro\u002FBAAI\u002Fbge-m3 或 OpenAI text-embedding-3",[40,362,363,366],{},[43,364,365],{},"WebDAV 同步先小范围测","：知识库向量数据较大，先备份对话再开同步",[40,368,369,372],{},[43,370,371],{},"MCP 工具来源要可控","：MCP 是给 AI 真实工具能力，第三方插件审一遍代码",[22,374,376],{"id":375},"适合-不适合","适合 \u002F 不适合",[37,378,379,382,385,388,391,394,397],{},[40,380,381],{},"✅ 中文用户、AI 重度使用 \u002F 多模型管理",[40,383,384],{},"✅ 需要本地 RAG 知识库",[40,386,387],{},"✅ 关注数据隐私 \u002F 本地存储",[40,389,390],{},"✅ 想用 Ollama \u002F LM Studio 本地模型",[40,392,393],{},"❌ 需要 Web 端 \u002F Docker 自托管",[40,395,396],{},"❌ 团队多人共享 \u002F SSO",[40,398,399],{},"❌ iOS 主力用户",[22,401,402],{"id":402},"相关阅读",[37,404,405,411,417,423],{},[40,406,407],{},[170,408,410],{"href":409},"\u002Ftools\u002Fcoding\u002Flocal\u002Flobe-chat","LobeChat 评测",[40,412,413],{},[170,414,416],{"href":415},"\u002Ftools\u002Fcoding\u002Flocal\u002Flm-studio","LM Studio 评测",[40,418,419],{},[170,420,422],{"href":421},"\u002Ftools\u002Fcoding\u002Flocal\u002Follama","Ollama 评测",[40,424,425],{},[170,426,428],{"href":427},"\u002Fplaybook\u002Fonboarding\u002Frag-pipeline-build","RAG Pipeline 搭建 Playbook",[22,430,431],{"id":431},"来源",[158,433,434,441,448],{},[40,435,436,437],{},"Cherry Studio 官网（功能 + 下载）",[170,438,439],{"href":439,"rel":440},"https:\u002F\u002Fwww.cherry-ai.com\u002F",[174],[40,442,443,444],{},"MBLUO Studio — Cherry Studio 评测 2026 ",[170,445,446],{"href":446,"rel":447},"https:\u002F\u002Fmbluostudio.com\u002Ftools\u002Fcherry-studio",[174],[40,449,450,451],{},"Cursor IDE 博客 — Cherry Studio 完全指南（2025-03）",[170,452,453],{"href":453,"rel":454},"https:\u002F\u002Fwww.cursor-ide.com\u002Fblog\u002Fcherry-studio-guide",[174],{"title":456,"searchDepth":457,"depth":457,"links":458},"",3,[459,461,462,463,464,465,466,467,468,469],{"id":24,"depth":460,"text":25},2,{"id":35,"depth":460,"text":35},{"id":85,"depth":460,"text":85},{"id":108,"depth":460,"text":109},{"id":156,"depth":460,"text":156},{"id":186,"depth":460,"text":186},{"id":340,"depth":460,"text":340},{"id":375,"depth":460,"text":376},{"id":402,"depth":460,"text":402},{"id":431,"depth":460,"text":431},"local",5,"\u002Fimg\u002Ftools\u002Fcherry-studio.webp","Cherry Studio 真实评测：开源跨平台桌面 AI 客户端，集成 OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek + Ollama \u002F LM Studio 本地模型，内置 300+ 助手模板 + 本地 RAG 知识库。AGPL-3.0 开源、GitHub 60k+ stars，企业版另询。",false,"md",[477,480,483,486],{"q":478,"a":479},"Cherry Studio 真的免费吗？","是。客户端完全免费、AGPL-3.0 开源，模型调用走你自己的 API Key（OpenAI \u002F Claude \u002F Gemini \u002F DeepSeek 等付费）或本地 Ollama \u002F LM Studio（零成本）。",{"q":481,"a":482},"本地知识库怎么用？","在『知识库』面板新建，拖文件 \u002F 加网址 \u002F 填 sitemap，系统自动向量化（默认 BAAI\u002Fbge-m3 或硅基流动的 Pro 版）；提问时勾选要检索的知识库，AI 会基于检索片段答题并标出来源。",{"q":484,"a":485},"和 LobeChat 怎么选？","都开源、多模型、有 RAG。LobeChat 是 Web + 桌面双形态，可自托管 Docker，72k stars；Cherry Studio 是纯桌面（Win\u002FMac\u002FLinux\u002FAndroid），不支持 Web 部署但桌面体验更精细，60k+ stars。要 Web 访问 \u002F 公司多人共享选 LobeChat；个人重度选 Cherry Studio。",{"q":487,"a":488},"支持 MCP \u002F 插件吗？","支持 MCP（Model Context Protocol）扩展，配合自定义助手（System Prompt）可扩展工具调用、联网搜索等能力。",[490,491],"zh","en",{},true,"\u002Ftools\u002Fcoding\u002Flocal\u002Fcherry-studio","coding",[497,498,499,500],"windows","macos","linux","android",[502,506],{"plan":92,"price":503,"features":504,"notes":505},"免费","300+ 助手模板 \u002F 云端 + 本地模型 \u002F 知识库 \u002F MCP \u002F WebDAV 备份","AGPL-3.0 开源",{"plan":98,"price":507,"features":508,"notes":509},"联系销售","私有化部署 \u002F 团队协作 \u002F AI 资源管控 \u002F 知识库管理","面向企业团队","开源免费 \u002F 企业版联系销售","2026-06-19",[513,514],"onboarding\u002Frag-pipeline-build","onboarding\u002Fcursor-mcp-deep-integration",{"power":516,"ux":471,"price":471,"cn_support":471,"stability":516},4,{"title":12,"description":473},"coding\u002Flocal\u002Fcherry-studio",[520,523,525],{"name":521,"url":439,"accessed":522},"Cherry Studio 官网","2026-06-24",{"name":524,"url":446,"accessed":522},"MBLUO Studio — Cherry Studio 评测",{"name":526,"url":453,"accessed":522},"Cursor IDE 博客 — Cherry Studio 指南","tools\u002Fcoding\u002Flocal\u002Fcherry-studio","全能 AI 客户端：多模型聚合 + 本地知识库 + 300+ 助手模板，跨平台桌面应用",[470,530,531,532,533,534,535],"desktop","multi-model","knowledge-base","rag","open-source","china","国产 AI 桌面客户端第一梯队，多模型聚合 + 本地 RAG + 中文体验顶级。需要 Web 部署 \u002F 自托管选 LobeChat；只要桌面体验完整选 Cherry Studio。","https:\u002F\u002Fcherry-ai.com","LAkkQWZMoqlr7XC7II0hPyN5bwRJkF6rbuSjkfZz2eA",{"id":540,"title":210,"alternatives":541,"api_compatible":9,"body":542,"category":470,"chinese_friendly":516,"cover":963,"description":964,"domestic":474,"extension":475,"faq":965,"free":474,"github":9,"languages":978,"lastVerified":9,"meta":979,"models":9,"navigation":493,"notSuitable":9,"opensource":493,"path":980,"pillar":495,"platforms":981,"priceTable":984,"pricing":992,"published":511,"relatedPlaybooks":993,"relatedReviews":9,"score":995,"self_host":493,"seo":996,"seoTitle":997,"slug":17,"sources":998,"stem":1005,"suitable":9,"tagline":1006,"tags":1007,"updated":522,"verdict":1011,"website":1012,"__hash__":1013},"tools\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui.md",[14,518,16,15],{"type":19,"value":543,"toc":951},[544,546,549,552,554,616,618,621,625,629,658,662,687,689,723,725,835,837,880,882,905,907,926,928],[22,545,25],{"id":24},[27,547,548],{},"Open WebUI（原 Ollama WebUI）是 MIT 开源、自托管 AI 平台，最常见用法是 Docker 跑起来给 Ollama 套一个 ChatGPT 风格前端。GitHub 126k+ stars、282M+ Docker pulls，事实上的本地 AI 前端首选。支持任意 OpenAI 兼容后端 + RAG 知识库 + 多用户账号 + 工具调用 + MCP-OpenAPI 代理 + 联网搜索 + 语音 + 图像生成。",[27,550,551],{},"适合：团队 \u002F 家庭 \u002F 公司部署一份共享、要 Web 端访问、多用户分账号、SearXNG 联网搜索、Confluence \u002F S3 \u002F GitHub 数据源同步。不适合：单人桌面体验（用 Cherry Studio）、零运维 \u002F 不愿碰 Docker。",[22,553,35],{"id":35},[37,555,556,562,568,574,580,586,592,598,604,610],{},[40,557,558,561],{},[43,559,560],{},"多模型后端","：Ollama \u002F OpenAI \u002F vLLM \u002F Anthropic \u002F Groq \u002F LocalAI \u002F 任意 OpenAI 兼容",[40,563,564,567],{},[43,565,566],{},"多用户 + RBAC","：注册 \u002F 邀请 \u002F 角色权限 \u002F 工作区隔离",[40,569,570,573],{},[43,571,572],{},"RAG 知识库","：上传文档 \u002F 网址 \u002F SearXNG 联网搜索 → 向量化 → 对话引用",[40,575,576,579],{},[43,577,578],{},"Tools \u002F Functions","：Python 写函数即扩展（联网 \u002F 计算器 \u002F 自定义 API）",[40,581,582,585],{},[43,583,584],{},"mcpo","：MCP-to-OpenAPI 代理，任意 MCP 服务器接进来",[40,587,588,591],{},[43,589,590],{},"oikb","：知识库同步本地文件夹 \u002F GitHub \u002F S3 \u002F Confluence 等 40+ 源",[40,593,594,597],{},[43,595,596],{},"open-terminal \u002F cptr","：给 AI 真实终端 + 文件 + 沙箱执行",[40,599,600,603],{},[43,601,602],{},"图像生成","：Stable Diffusion \u002F DALL·E \u002F 自托管接入",[40,605,606,609],{},[43,607,608],{},"语音输入 \u002F TTS","：内置",[40,611,612,615],{},[43,613,614],{},"企业 LTS","：custom branding + SLA + 长期支持版本（联系销售）",[22,617,85],{"id":85},[27,619,620],{},"完全免费、MIT 开源、商用免费。Enterprise 提供品牌定制 + SLA + LTS。",[22,622,624],{"id":623},"实测ubuntu-2404-ollama-后端-5-人小团队","实测（Ubuntu 24.04 + Ollama 后端 + 5 人小团队）",[27,626,627],{},[43,628,114],{},[37,630,631,639,642,649,652,655],{},[40,632,633,634,638],{},"单条 ",[635,636,637],"code",{},"docker run"," 五分钟上线",[40,640,641],{},"自带的多用户 + 角色权限省去重新搭 Auth",[40,643,644,645,648],{},"RAG 直传 30 个 PDF 后向量化顺利，对话中 ",[635,646,647],{},"#知识库"," 引用准确",[40,650,651],{},"mcpo 把 GitHub MCP 服务器接进来，团队对话里直接 issue \u002F PR 操作",[40,653,654],{},"模型切换流畅，OpenAI + Ollama 并存",[40,656,657],{},"SearXNG 联网搜索给模型实时信息，过时知识截止问题缓解",[27,659,660],{},[43,661,136],{},[37,663,664,667,674,681,684],{},[40,665,666],{},"Docker 镜像 ~1.5GB，首次拉取偏慢",[40,668,669,670,673],{},"默认 ",[635,671,672],{},"0.0.0.0"," 公网暴露要加 HTTPS + 反代",[40,675,676,677,680],{},"嵌入模型 ",[635,678,679],{},"sentence-transformers"," 中文效果一般，建议换 bge-m3",[40,682,683],{},"多用户共享 Ollama 时并发吞吐瓶颈在 Ollama，不在 Open WebUI（生产用 vLLM 后端）",[40,685,686],{},"版本升级要看 changelog，部分 minor 含 breaking 改动",[22,688,156],{"id":156},[158,690,691,697,704,707,710,713,716],{},[40,692,693,694],{},"装 Docker → ",[635,695,696],{},"docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:\u002Fapp\u002Fbackend\u002Fdata --name open-webui --restart always ghcr.io\u002Fopen-webui\u002Fopen-webui:main",[40,698,699,700,703],{},"浏览器开 ",[635,701,702],{},"http:\u002F\u002Flocalhost:3000"," → 注册第一个账号（管理员）",[40,705,706],{},"设置 → Connections → 连接 Ollama \u002F 加 OpenAI Key",[40,708,709],{},"Models → Pull \u002F Discover 模型",[40,711,712],{},"Workspaces → 建知识库 → 上传文档",[40,714,715],{},"Tools → 启用 \u002F 写自定义函数",[40,717,718,719,722],{},"生产部署：Nginx 反代 + Let's Encrypt + 备份 ",[635,720,721],{},"\u002Fapp\u002Fbackend\u002Fdata"," volume",[22,724,186],{"id":186},[188,726,727,741],{},[191,728,729],{},[194,730,731,733,735,737,739],{},[197,732,199],{},[197,734,210],{},[197,736,204],{},[197,738,12],{},[197,740,207],{},[212,742,743,755,769,783,797,811,823],{},[194,744,745,747,749,751,753],{},[217,746,219],{},[217,748,230],{},[217,750,225],{},[217,752,222],{},[217,754,222],{},[194,756,757,760,763,765,767],{},[217,758,759],{},"多用户",[217,761,762],{},"✅ 一等",[217,764,260],{},[217,766,287],{},[217,768,287],{},[194,770,771,774,777,779,781],{},[217,772,773],{},"RAG",[217,775,776],{},"✅ 强 + oikb",[217,778,260],{},[217,780,260],{},[217,782,257],{},[194,784,785,788,791,793,795],{},[217,786,787],{},"工具 \u002F MCP",[217,789,790],{},"✅ mcpo",[217,792,260],{},[217,794,260],{},[217,796,257],{},[194,798,799,802,805,807,809],{},[217,800,801],{},"自托管",[217,803,804],{},"✅ Docker \u002F K8s",[217,806,284],{},[217,808,287],{},[217,810,287],{},[194,812,813,815,817,819,821],{},[217,814,325],{},[217,816,337],{},[217,818,331],{},[217,820,328],{},[217,822,334],{},[194,824,825,827,829,831,833],{},[217,826,309],{},[217,828,315],{},[217,830,315],{},[217,832,312],{},[217,834,318],{},[22,836,340],{"id":340},[37,838,839,845,853,862,868,874],{},[40,840,841,844],{},[43,842,843],{},"不要裸 0.0.0.0 + HTTP 暴露公网","：默认无 HTTPS，必上反代 + 强密码 + 速率限制",[40,846,847,852],{},[43,848,849,850,722],{},"备份 ",[635,851,721],{},"：知识库 \u002F 用户 \u002F 对话全在里面",[40,854,855,858,859,861],{},[43,856,857],{},"中文 RAG 换嵌入模型","：默认 ",[635,860,679],{}," 中文一般，配 bge-m3 或硅基流动嵌入 API",[40,863,864,867],{},[43,865,866],{},"mcpo 工具范围谨慎","：MCP 给 AI 真实能力，第三方服务器审一遍",[40,869,870,873],{},[43,871,872],{},"后端吞吐看 Ollama","：5+ 并发上 vLLM 后端，Ollama 单 worker 会排队",[40,875,876,879],{},[43,877,878],{},"升级前看 changelog","：weekly 更新，偶有 breaking",[22,881,376],{"id":375},[37,883,884,887,890,893,896,899,902],{},[40,885,886],{},"✅ 团队 \u002F 家庭 \u002F 公司多人共享 AI 平台",[40,888,889],{},"✅ 要 Web 端访问 \u002F 移动端兼容",[40,891,892],{},"✅ 自托管 \u002F 完全控制数据",[40,894,895],{},"✅ MCP \u002F 工具调用刚需",[40,897,898],{},"❌ 单人桌面体验（用 Cherry Studio）",[40,900,901],{},"❌ 零运维 \u002F 不愿碰 Docker",[40,903,904],{},"❌ iOS 原生 App 主力",[22,906,402],{"id":402},[37,908,909,913,918,922],{},[40,910,911],{},[170,912,410],{"href":409},[40,914,915],{},[170,916,917],{"href":494},"Cherry Studio 评测",[40,919,920],{},[170,921,422],{"href":421},[40,923,924],{},[170,925,428],{"href":427},[22,927,431],{"id":431},[158,929,930,937,944],{},[40,931,932,933],{},"Open WebUI 官方文档 ",[170,934,935],{"href":935,"rel":936},"https:\u002F\u002Fdocs.openwebui.com\u002F",[174],[40,938,939,940],{},"Local AI Master — Open WebUI Setup Guide 2026 ",[170,941,942],{"href":942,"rel":943},"https:\u002F\u002Flocalaimaster.com\u002Fblog\u002Fopen-webui-setup-guide",[174],[40,945,946,947],{},"AIToolDiscovery — Set Up Open-WebUI with Ollama 2026 ",[170,948,949],{"href":949,"rel":950},"https:\u002F\u002Fwww.aitooldiscovery.com\u002Fhow-to\u002Fsetup-open-webui-ollama",[174],{"title":456,"searchDepth":457,"depth":457,"links":952},[953,954,955,956,957,958,959,960,961,962],{"id":24,"depth":460,"text":25},{"id":35,"depth":460,"text":35},{"id":85,"depth":460,"text":85},{"id":623,"depth":460,"text":624},{"id":156,"depth":460,"text":156},{"id":186,"depth":460,"text":186},{"id":340,"depth":460,"text":340},{"id":375,"depth":460,"text":376},{"id":402,"depth":460,"text":402},{"id":431,"depth":460,"text":431},"\u002Fimg\u002Ftools\u002Fopen-webui.webp","Open WebUI 2026 真实评测：MIT 开源、自托管 ChatGPT 替代和 Ollama Web 前端。支持 Docker 一行部署、Ollama\u002FOpenAI\u002FvLLM 多后端、RAG 知识库、多用户、联网搜索、工具调用和 MCP-to-OpenAPI，适合团队私有 AI 平台。",[966,969,972,975],{"q":967,"a":968},"Docker 一行命令真的够用吗？","够。`docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:\u002Fapp\u002Fbackend\u002Fdata --name open-webui --restart always ghcr.io\u002Fopen-webui\u002Fopen-webui:main`，5 分钟可上线、能多人注册、能接 Ollama \u002F OpenAI。生产再加反代 + HTTPS + 备份。",{"q":970,"a":971},"支持哪些模型后端？","Ollama（首选）+ 任何 OpenAI 兼容 endpoint：OpenAI 官方 \u002F Anthropic（OpenAI 兼容代理）\u002F vLLM \u002F Groq \u002F LocalAI \u002F 自建 baseURL。可同时配多个，对话中切换。",{"q":973,"a":974},"RAG \u002F 知识库怎么做？","内置：上传 PDF \u002F DOCX \u002F TXT、网址抓取、SearXNG 联网搜索 → 自动向量化 → 在对话中 `#` 引用知识库。配套 oikb 项目可同步本地文件夹 \u002F GitHub \u002F S3 \u002F Confluence 等 40+ 数据源。",{"q":976,"a":977},"MCP 怎么接？","通过 mcpo（官方的 MCP-to-OpenAPI 代理）把任意 MCP 服务器暴露成 OpenAPI 工具，再在 Open WebUI 注册即可。无需写 glue code。",[491,490],{},"\u002Ftools\u002Fcoding\u002Flocal\u002Fopen-webui",[982,499,498,497,983],"docker","kubernetes",[985,988],{"plan":92,"price":503,"features":986,"notes":987},"全功能 \u002F 多用户 \u002F RAG \u002F Tools \u002F 联网搜索 \u002F MCP-OpenAPI 代理 \u002F Docker \u002F K8s","MIT 协议",{"plan":98,"price":989,"features":990,"notes":991},"咨询","Custom branding \u002F SLA \u002F LTS 长期支持版本","邮件官方","完全免费（MIT 开源） \u002F Enterprise SLA 联系",[513,994],"onboarding\u002Fclaude-code-getting-started",{"power":471,"ux":516,"price":471,"cn_support":516,"stability":471},{"title":210,"description":964},"Open WebUI 评测 2026：自托管 ChatGPT 替代，Ollama 前端部署指南",[999,1001,1003],{"name":1000,"url":935,"accessed":522},"Open WebUI 官方文档",{"name":1002,"url":942,"accessed":522},"Local AI Master — Open WebUI Setup Guide 2026",{"name":1004,"url":949,"accessed":522},"AIToolDiscovery — Open-WebUI with Ollama 2026","tools\u002Fcoding\u002Flocal\u002Fopen-webui","自托管的 ChatGPT 替代：Ollama \u002F OpenAI 兼容、多用户、RAG、126k+ GitHub stars",[470,1008,982,533,1009,1010,534],"self-host","multi-user","ollama","自托管多用户 AI 前端的事实标准。团队 \u002F 家庭 \u002F 公司部署一份共享，多模型聚合 + RAG + 工具调用全有。单机 \u002F 桌面体验首选 Cherry Studio \u002F LobeChat。","https:\u002F\u002Fdocs.openwebui.com","JCKn_X0aojpl94LKJcqlbs0XSTAxv8S8JgKy70WtsO0",1784565442382]