[{"data":1,"prerenderedAt":2965},["ShallowReactive",2],{"tool-tools\u002Fcoding\u002Fagent":3,"header-counts":4,"footer-counts":7,"tools-coding-agent":10},null,{"tools":5,"reviews":6},65,7,{"tools":5,"reviews":6,"playbooks":8,"news":9},10,8,[11,593,1220,1755,2252],{"id":12,"title":13,"alternatives":14,"api_compatible":3,"body":26,"category":522,"chinese_friendly":512,"cover":523,"description":524,"domestic":525,"extension":526,"faq":527,"free":525,"github":3,"languages":540,"meta":542,"models":3,"navigation":543,"notSuitable":3,"opensource":525,"path":544,"pillar":545,"platforms":546,"priceTable":550,"pricing":561,"published":562,"relatedPlaybooks":563,"relatedReviews":3,"score":570,"self_host":525,"seo":573,"slug":574,"sources":575,"stem":583,"suitable":3,"tagline":584,"tags":585,"updated":578,"verdict":590,"website":591,"__hash__":592},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md","Augment Code",[15,18,21,24],{"name":16,"url":17},"github-copilot","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot",{"name":19,"url":20},"cursor","\u002Ftools\u002Fcoding\u002Fide\u002Fcursor",{"name":22,"url":23},"claude-code","\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code",{"name":25,"url":17},"tabnine",{"type":27,"value":28,"toc":507},"minimark",[29,34,43,46,49,52,74,81,85,186,192,210,213,217,223,237,242,259,262,287,290,394,397,429,433,453,456,480,483],[30,31,33],"h2",{"id":32},"tldr","TL;DR",[35,36,37,38,42],"p",{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[39,40,41],"strong",{},"Context Engine","——对整个代码库（包括跨仓库 \u002F 跨语言 \u002F git history）做深度索引，让 agent 在百万行 monorepo 里也能找对上下文。2026 年定价改成 credits 制：Indie $20 \u002F Standard $60 \u002F Max $200，含 IDE Agent（VS Code \u002F JetBrains）+ Auggie CLI + 异步 Cloud Agent。",[35,44,45],{},"适合：>30 万行、>20 工程师、跨仓库强引用的企业项目（Pure Storage \u002F Webflow \u002F Observe 这种）。不适合：个人 \u002F 小项目（Cursor 性价比完胜）、国内团队（无中文官方支持、网络欠佳）。",[30,47,48],{"id":48},"它是什么",[35,50,51],{},"Augment 把 AI 编程产品拆成三件套：",[53,54,55,62,68],"ol",{},[56,57,58,61],"li",{},[39,59,60],{},"Context Engine（核心 IP）","：索引整个 monorepo，含跨仓库依赖、函数调用图、commit 历史。每次 agent 推理时按需检索相关上下文。",[56,63,64,67],{},[39,65,66],{},"IDE Agent","：VS Code \u002F JetBrains 扩展，提供 Chat、Edit、Agent、Next Edit（预测下一步要改的位置）四模式。",[56,69,70,73],{},[39,71,72],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[35,75,76,77,80],{},"底层 LLM 走 ",[39,78,79],{},"Prism routing","——按任务复杂度动态选 Claude Sonnet \u002F Opus \u002F Haiku \u002F Gemini Pro \u002F GPT-5，平均比直接调 frontier 模型省 20–30%。",[30,82,84],{"id":83},"价格2026-06","价格（2026-06）",[86,87,88,110],"table",{},[89,90,91],"thead",{},[92,93,94,98,101,104,107],"tr",{},[95,96,97],"th",{},"Plan",[95,99,100],{},"价格",[95,102,103],{},"Credits",[95,105,106],{},"团队规模",[95,108,109],{},"适用",[111,112,113,133,152,170],"tbody",{},[92,114,115,121,124,127,130],{},[116,117,118],"td",{},[39,119,120],{},"Indie",[116,122,123],{},"$20\u002F月",[116,125,126],{},"40k",[116,128,129],{},"1",[116,131,132],{},"个人开发者",[92,134,135,140,143,146,149],{},[116,136,137],{},[39,138,139],{},"Standard",[116,141,142],{},"$60\u002F席\u002F月",[116,144,145],{},"130k\u002F席（池化）",[116,147,148],{},"≤20",[116,150,151],{},"中小生产团队",[92,153,154,159,162,165,167],{},[116,155,156],{},[39,157,158],{},"Max",[116,160,161],{},"$200\u002F席\u002F月",[116,163,164],{},"450k\u002F席（池化）",[116,166,148],{},[116,168,169],{},"重度 + 异步任务多",[92,171,172,175,178,180,183],{},[116,173,174],{},"Enterprise",[116,176,177],{},"Custom",[116,179,177],{},[116,181,182],{},"∞",[116,184,185],{},"大型企业",[35,187,188,191],{},[39,189,190],{},"credits 单价","（一次中等任务）：",[193,194,195,198,201,204,207],"ul",{},[56,196,197],{},"Haiku 4.5：~88 credits",[56,199,200],{},"Sonnet 4.6：~293 credits",[56,202,203],{},"Opus 4.7：~488 credits",[56,205,206],{},"Gemini 3.1 Pro：~268 credits",[56,208,209],{},"GPT-5.1：~219 credits",[35,211,212],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[30,214,216],{"id":215},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[35,218,219,222],{},[39,220,221],{},"亮点","：",[193,224,225,228,231,234],{},[56,226,227],{},"Context Engine 真有用：让它『改 user service 加字段，同时更新所有调用方』，agent 自己跨 5 个仓库找到 17 处引用并改",[56,229,230],{},"Next Edit 预测准确率 ~60%：写完一行，它能猜到下一步要在另一个文件改什么",[56,232,233],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[56,235,236],{},"SOC 2 Type II 合规对企业采购友好",[35,238,239,222],{},[39,240,241],{},"踩坑",[193,243,244,247,250,253,256],{},[56,245,246],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[56,248,249],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[56,251,252],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[56,254,255],{},"国内访问偶发抖动（CDN 美国）",[56,257,258],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[30,260,261],{"id":261},"上手",[53,263,264,267,270,273,276,279],{},[56,265,266],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[56,268,269],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[56,271,272],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[56,274,275],{},"等首次索引（10 分钟–1 小时取决于规模）",[56,277,278],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[56,280,281,282,286],{},"进阶：装 Auggie CLI（",[283,284,285],"code",{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[30,288,289],{"id":289},"对比一览",[86,291,292,311],{},[89,293,294],{},[92,295,296,299,302,305,308],{},[95,297,298],{},"维度",[95,300,301],{},"Augment",[95,303,304],{},"Cursor",[95,306,307],{},"Copilot Enterprise",[95,309,310],{},"Claude Code",[111,312,313,330,347,363,379],{},[92,314,315,318,321,324,327],{},[116,316,317],{},"Context 覆盖",[116,319,320],{},"整个 monorepo + 跨仓",[116,322,323],{},"单仓库 + 文件 @",[116,325,326],{},"单仓库 + indexing",[116,328,329],{},"单仓 + 上下文",[92,331,332,335,338,341,344],{},[116,333,334],{},"起步价（团队）",[116,336,337],{},"$60\u002F席",[116,339,340],{},"$40\u002F席（Business）",[116,342,343],{},"$39\u002F席",[116,345,346],{},"$20\u002F账号",[92,348,349,352,355,358,361],{},[116,350,351],{},"Async cloud agent",[116,353,354],{},"✅",[116,356,357],{},"部分",[116,359,360],{},"❌",[116,362,360],{},[92,364,365,368,371,374,377],{},[116,366,367],{},"合规",[116,369,370],{},"SOC 2 II ✅",[116,372,373],{},"SOC 2 ✅",[116,375,376],{},"SOC 2 + GDPR ✅",[116,378,373],{},[92,380,381,384,387,390,392],{},[116,382,383],{},"中文",[116,385,386],{},"2\u002F5",[116,388,389],{},"3\u002F5",[116,391,389],{},[116,393,389],{},[30,395,396],{"id":396},"避坑",[193,398,399,405,411,417,423],{},[56,400,401,404],{},[39,402,403],{},"小团队 \u002F 小项目 ≠ 价值场景","：\u003C 10 万行的项目，Cursor 完全够用，Augment 多花的钱买不到差异",[56,406,407,410],{},[39,408,409],{},"credit 上限要设","：仪表盘里给每个 dev 设月度 cap，避免 Opus 任务 runaway 烧光团队 pool",[56,412,413,416],{},[39,414,415],{},"不要把所有仓库都 onboard","：每个仓库的索引都吃 credits \u002F 存储，挑核心 1–3 个仓库即可",[56,418,419,422],{},[39,420,421],{},"国内团队三思","：网络 + 中文支持差 + 价格高，国内大型项目可优先评估 通义灵码 \u002F CodeFuse 这类本土方案",[56,424,425,428],{},[39,426,427],{},"PR 必须人工 review","：尤其是 Async Agent 在 Cosmos 沙箱里改的代码，可能引入 hardcoded value",[30,430,432],{"id":431},"适合-不适合","适合 \u002F 不适合",[193,434,435,438,441,444,447,450],{},[56,436,437],{},"✅ 海外大型工程团队、monorepo > 30 万行",[56,439,440],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[56,442,443],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[56,445,446],{},"❌ 个人开发者 \u002F 创业初期小项目",[56,448,449],{},"❌ 主语言为中文的国内团队",[56,451,452],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[30,454,455],{"id":455},"相关阅读",[193,457,458,464,469,474],{},[56,459,460],{},[461,462,463],"a",{"href":17},"GitHub Copilot 评测",[56,465,466],{},[461,467,468],{"href":20},"Cursor 评测",[56,470,471],{},[461,472,473],{"href":23},"Claude Code 评测",[56,475,476],{},[461,477,479],{"href":478},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcline","Cline 评测",[30,481,482],{"id":482},"来源",[53,484,485,493,500],{},[56,486,487,488],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[461,489,490],{"href":490,"rel":491},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[492],"nofollow",[56,494,495,496],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[461,497,498],{"href":498,"rel":499},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[492],[56,501,502,503],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[461,504,505],{"href":505,"rel":506},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[492],{"title":508,"searchDepth":509,"depth":509,"links":510},"",3,[511,513,514,515,516,517,518,519,520,521],{"id":32,"depth":512,"text":33},2,{"id":48,"depth":512,"text":48},{"id":83,"depth":512,"text":84},{"id":215,"depth":512,"text":216},{"id":261,"depth":512,"text":261},{"id":289,"depth":512,"text":289},{"id":396,"depth":512,"text":396},{"id":431,"depth":512,"text":432},{"id":455,"depth":512,"text":455},{"id":482,"depth":512,"text":482},"agent","\u002Fimg\u002Ftools\u002Faugment.webp","Augment Code 真实评测：主打『Context Engine』全仓索引的 AI 编程平台。2026 改成 credit-based：Indie $20 \u002F Standard $60 \u002F Max $200 \u002F Enterprise 定制，含 IDE Agent + Auggie CLI + 异步 Cloud Agent。",false,"md",[528,531,534,537],{"q":529,"a":530},"Context Engine 到底有什么不一样？","一般 IDE AI 工具的『codebase 检索』是 embedding + 几十 K 上下文塞 prompt；Augment 的 Context Engine 是把整个 monorepo 索引到自家向量 + AST 图谱，agent 调用时按需取相关代码，覆盖跨仓库引用、调用链、历史 commit。在 100w+ 行项目上，差距会非常明显。",{"q":532,"a":533},"credit 怎么算？","credits 按模型 + 任务规模分级：Claude Sonnet 4.6 一次中等任务约 293 credits、Opus 4.7 约 488、Haiku 4.5 约 88。Indie 40k credits 约能跑 100 次中等任务；Standard 130k\u002F席 团队池化。",{"q":535,"a":536},"Auggie CLI 是什么？","Augment 的命令行 agent，类似 Claude Code \u002F Codex CLI，但默认带 Context Engine——可以在 terminal 里直接『改这个 feature』，agent 自动跨仓库找上下文。",{"q":538,"a":539},"和 Cursor \u002F Copilot 比？","小项目 Cursor 已经够好且更便宜（$20 vs $60\u002F席）；大型 monorepo（>30 万行）、跨多仓库引用频繁的团队，Augment 的 Context Engine 优势能展现出来。Copilot Enterprise 价位接近但 context 能力差一档。",[541],"en",{},true,"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment","coding",[547,548,549],"vscode","jetbrains","cli",[551,553,556,559],{"plan":120,"price":123,"seats":129,"credits":126,"notes":552},"解决方案给个人开发者，每月 40K credits 池",{"plan":139,"price":142,"seats":148,"credits":554,"notes":555},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":158,"price":161,"seats":148,"credits":557,"notes":558},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":174,"price":177,"seats":182,"credits":177,"notes":560},"SSO\u002FSAML、审计、专属 CSM、私有部署","Indie $20·月 \u002F Standard $60·席·月 \u002F Max $200·席·月 \u002F Enterprise","2026-06-19",[564,567],{"name":565,"url":566},"大型重构 + AI Agent 实战","\u002Fplaybook\u002Frefactor\u002Flarge-refactor-with-ai-agent",{"name":568,"url":569},"Context Engineering Wiki","\u002Fwiki\u002Fcontext-engineering",{"power":571,"ux":572,"price":512,"cn_support":512,"stability":572},5,4,{"title":13,"description":524},"coding\u002Fagent\u002Faugment",[576,579,581],{"name":577,"url":490,"accessed":578},"AgentDeals — Augment Code Pricing 2026","2026-06-24",{"name":580,"url":498,"accessed":578},"CheckThat.ai — Augment Code Pricing & TCO",{"name":582,"url":505,"accessed":578},"UsagePricing — Augment Code","tools\u002Fcoding\u002Fagent\u002Faugment","Context Engine 为核心：面向大型生产代码库的 AI 工程师 + Auggie CLI",[586,587,588,522,549,589],"enterprise","context-engine","monorepo","soc2","为『百万行 monorepo』而生的 AI 编程平台——Context Engine 真能覆盖整个仓库。小项目用不出价值，大型工程团队（>20 dev）值这个钱。","https:\u002F\u002Fwww.augmentcode.com","QX_BWd-MLliith3R7ITOcY8BWC8QDzfIRpjMKuvX8Hg",{"id":594,"title":595,"alternatives":596,"api_compatible":3,"body":606,"category":522,"chinese_friendly":572,"cover":1157,"description":1158,"domestic":525,"extension":526,"faq":1159,"free":525,"github":1172,"languages":1173,"meta":1175,"models":3,"navigation":543,"notSuitable":3,"opensource":543,"path":1176,"pillar":545,"platforms":1177,"priceTable":1178,"pricing":1193,"published":562,"relatedPlaybooks":1194,"relatedReviews":3,"score":1201,"self_host":543,"seo":1202,"slug":1203,"sources":1204,"stem":1211,"suitable":3,"tagline":1212,"tags":1213,"updated":578,"verdict":1217,"website":1218,"__hash__":1219},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue.md","Continue.dev",[597,598,600,603],{"name":19,"url":20},{"name":599,"url":478},"cline",{"name":601,"url":602},"aider","\u002Ftools\u002Fcoding\u002Fcli\u002Faider",{"name":604,"url":605},"roo-code","\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code",{"type":27,"value":607,"toc":1145},[608,610,613,624,626,629,663,670,674,736,739,742,747,768,772,789,791,925,927,1039,1041,1075,1077,1094,1096,1116,1118,1141],[30,609,33],{"id":32},[35,611,612],{},"Continue 是开源（Apache 2.0）的 VS Code \u002F JetBrains AI 编程扩展，定位是「开源版 Cursor」——四模式（Autocomplete \u002F Edit \u002F Chat \u002F Agent），任意 LLM BYOK，可本地、可自托管、可走 Hub 云服务。",[35,614,615,616,619,620,623],{},"2026 年的剧情转折：",[39,617,618],{},"2026 年初被 Cursor 收购","，官网公告里 Continue 团队加入 Cursor。好消息是 GitHub 开源仓库（32k+ stars）继续维护，扩展继续可用；坏消息是商业 Hub 服务由 Cursor 接管，长期产品方向不确定。",[39,621,622],{},"短期内开源版仍是 BYOK \u002F 自托管的最佳选择","。",[30,625,48],{"id":48},[35,627,628],{},"Continue 不抢 Cursor 的 IDE fork 路线，而是做「装在原版 VS Code \u002F JetBrains 里的扩展」。安装后获得：",[193,630,631,637,643,657],{},[56,632,633,636],{},[39,634,635],{},"Autocomplete","：行内 ghost text 补全（轻量模型如 DeepSeek Coder、Qwen Coder）",[56,638,639,642],{},[39,640,641],{},"Edit","：选中代码 → 自然语言指令 → 替换",[56,644,645,648,649,652,653,656],{},[39,646,647],{},"Chat","：侧边栏对话，带 ",[283,650,651],{},"@file"," \u002F ",[283,654,655],{},"@codebase"," 上下文",[56,658,659,662],{},[39,660,661],{},"Agent","：通过 MCP 连外部工具，能跑命令 \u002F 读 DB \u002F 调 API",[35,664,665,666,669],{},"最大卖点是",[39,667,668],{},"完全开放","：模型\u002FProvider\u002FEmbedding\u002FReranker 都能换。VS Code Marketplace 装机量 2.5M+，GitHub 32k+ stars，活跃社区。",[30,671,673],{"id":672},"价格2026-年-6-月","价格（2026 年 6 月）",[86,675,676,689],{},[89,677,678],{},[92,679,680,683,686],{},[95,681,682],{},"路径",[95,684,685],{},"成本",[95,687,688],{},"适合",[111,690,691,704,715,726],{},[92,692,693,698,701],{},[116,694,695],{},[39,696,697],{},"OSS + BYOK 自托管",[116,699,700],{},"$0 + LLM API 自付",[116,702,703],{},"个人、隐私敏感、合规场景",[92,705,706,709,712],{},[116,707,708],{},"Hub Starter",[116,710,711],{},"$3 \u002F M tokens（PAYG）",[116,713,714],{},"不想自己管 key 的轻度用户",[92,716,717,720,723],{},[116,718,719],{},"Hub Team",[116,721,722],{},"$20\u002F席\u002F月（含 $10 credits）",[116,724,725],{},"小团队、需私有 agent",[92,727,728,731,733],{},[116,729,730],{},"Hub Company",[116,732,177],{},[116,734,735],{},"企业、BYOK + SSO",[35,737,738],{},"实际单月成本估算（重度个人用户走 BYOK + DeepSeek V3）：API 费约 $5–$15\u002F月，比 Cursor Pro $20 便宜，但需要自己充值 + 配 endpoint。",[30,740,741],{"id":741},"实测",[35,743,744,222],{},[39,745,746],{},"好的地方",[193,748,749,752,755,758,765],{},[56,750,751],{},"BYOK 灵活：白天用 Claude 3.5 干活、晚上切 DeepSeek 省钱、Sensitive 项目走 Ollama 本地",[56,753,754],{},"VS Code \u002F JetBrains 原生扩展，不用换 IDE",[56,756,757],{},"MCP agent 模式可定制——接自家内部 API 当 tool",[56,759,760,761,764],{},"配置走 ",[283,762,763],{},"config.json","，纯文本 + 可 git 管理 \u002F 团队共享",[56,766,767],{},"国内可直连 DeepSeek \u002F 通义 \u002F Kimi \u002F GLM endpoint，无墙",[35,769,770,222],{},[39,771,241],{},[193,773,774,777,780,783,786],{},[56,775,776],{},"默认配置门槛：BYOK 第一次配 5+ 个字段（model \u002F provider \u002F api_base \u002F context length）",[56,778,779],{},"Autocomplete 延迟比 Cursor 高（取决于你选的模型 \u002F endpoint 距离）",[56,781,782],{},"被 Cursor 收购后，新功能节奏明显放缓",[56,784,785],{},"Agent 模式（MCP）配置文档零散，需要踩坑",[56,787,788],{},"嵌入式 Web preview \u002F 内置 diff UI 不如 Cursor 精致",[30,790,261],{"id":261},[53,792,793,796,902,909,922],{},[56,794,795],{},"VS Code → 装 \"Continue\" 扩展（或 JetBrains plugin）",[56,797,798,799,802,803],{},"编辑 ",[283,800,801],{},"~\u002F.continue\u002Fconfig.json"," 配 model：\n",[804,805,809],"pre",{"className":806,"code":807,"language":808,"meta":508,"style":508},"language-json shiki shiki-themes github-light github-dark","{\n  \"models\": [{\n    \"title\": \"DeepSeek V3\",\n    \"provider\": \"openai\",\n    \"model\": \"deepseek-chat\",\n    \"apiBase\": \"https:\u002F\u002Fapi.deepseek.com\u002Fv1\",\n    \"apiKey\": \"sk-xxx\"\n  }]\n}\n","json",[283,810,811,820,829,844,856,868,881,891,896],{"__ignoreMap":508},[812,813,816],"span",{"class":814,"line":815},"line",1,[812,817,819],{"class":818},"sVt8B","{\n",[812,821,822,826],{"class":814,"line":512},[812,823,825],{"class":824},"sj4cs","  \"models\"",[812,827,828],{"class":818},": [{\n",[812,830,831,834,837,841],{"class":814,"line":509},[812,832,833],{"class":824},"    \"title\"",[812,835,836],{"class":818},": ",[812,838,840],{"class":839},"sZZnC","\"DeepSeek V3\"",[812,842,843],{"class":818},",\n",[812,845,846,849,851,854],{"class":814,"line":572},[812,847,848],{"class":824},"    \"provider\"",[812,850,836],{"class":818},[812,852,853],{"class":839},"\"openai\"",[812,855,843],{"class":818},[812,857,858,861,863,866],{"class":814,"line":571},[812,859,860],{"class":824},"    \"model\"",[812,862,836],{"class":818},[812,864,865],{"class":839},"\"deepseek-chat\"",[812,867,843],{"class":818},[812,869,871,874,876,879],{"class":814,"line":870},6,[812,872,873],{"class":824},"    \"apiBase\"",[812,875,836],{"class":818},[812,877,878],{"class":839},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[812,880,843],{"class":818},[812,882,883,886,888],{"class":814,"line":6},[812,884,885],{"class":824},"    \"apiKey\"",[812,887,836],{"class":818},[812,889,890],{"class":839},"\"sk-xxx\"\n",[812,892,893],{"class":814,"line":9},[812,894,895],{"class":818},"  }]\n",[812,897,899],{"class":814,"line":898},9,[812,900,901],{"class":818},"}\n",[56,903,904,905,908],{},"配 ",[283,906,907],{},"tabAutocompleteModel","（推荐 DeepSeek Coder 或 Qwen Coder）",[56,910,911,914,915,918,919,921],{},[283,912,913],{},"Ctrl+I"," Edit、",[283,916,917],{},"Ctrl+L"," Chat、",[283,920,655],{}," 全库检索",[56,923,924],{},"进阶：装 MCP server（filesystem、postgres、github）让 Agent 用",[30,926,289],{"id":289},[86,928,929,946],{},[89,930,931],{},[92,932,933,935,938,940,943],{},[95,934,298],{},[95,936,937],{},"Continue",[95,939,304],{},[95,941,942],{},"Cline",[95,944,945],{},"Aider",[111,947,948,965,979,993,1010,1025],{},[92,949,950,953,956,959,962],{},[116,951,952],{},"形态",[116,954,955],{},"VS Code\u002FJB 扩展",[116,957,958],{},"IDE fork",[116,960,961],{},"VS Code 扩展",[116,963,964],{},"CLI",[92,966,967,970,973,975,977],{},[116,968,969],{},"开源",[116,971,972],{},"Apache 2.0 ✅",[116,974,360],{},[116,976,972],{},[116,978,354],{},[92,980,981,984,987,989,991],{},[116,982,983],{},"BYOK",[116,985,986],{},"任意模型",[116,988,357],{},[116,990,986],{},[116,992,986],{},[92,994,995,998,1001,1004,1007],{},[116,996,997],{},"主要模式",[116,999,1000],{},"Autocomplete + Chat + Agent",[116,1002,1003],{},"全套",[116,1005,1006],{},"Agent 为主",[116,1008,1009],{},"CLI Edit",[92,1011,1012,1015,1018,1021,1023],{},[116,1013,1014],{},"月成本",[116,1016,1017],{},"$0 + API",[116,1019,1020],{},"$20+",[116,1022,1017],{},[116,1024,1017],{},[92,1026,1027,1030,1033,1035,1037],{},[116,1028,1029],{},"中文友好",[116,1031,1032],{},"4\u002F5",[116,1034,389],{},[116,1036,1032],{},[116,1038,389],{},[30,1040,396],{"id":396},[193,1042,1043,1049,1055,1063,1069],{},[56,1044,1045,1048],{},[39,1046,1047],{},"被收购焦虑","：Hub 服务可能停 \u002F 变价，BYOK + 本地配置可移植性最好，重要项目都走自配",[56,1050,1051,1054],{},[39,1052,1053],{},"Autocomplete 模型不要贪大","：用 70B+ 模型会卡得没法用，专门的代码补全小模型（DeepSeek Coder 6.7B \u002F Qwen Coder 7B）才合理",[56,1056,1057,1062],{},[39,1058,1059,1061],{},[283,1060,655],{}," 要先建索引","：大仓库第一次跑可能要数分钟做 embedding，配好后增量更新",[56,1064,1065,1068],{},[39,1066,1067],{},"MCP server 慎装","：第三方 MCP 等于给 LLM 一把 shell 钥匙，先看代码再启用",[56,1070,1071,1074],{},[39,1072,1073],{},"config.json 入版本控制","：团队统一配置避免「我电脑能用你电脑不能用」",[30,1076,432],{"id":431},[193,1078,1079,1082,1085,1088,1091],{},[56,1080,1081],{},"✅ 想要 Cursor 体验但坚持开源 \u002F BYOK 的开发者",[56,1083,1084],{},"✅ 合规 \u002F 隐私敏感场景（本地 Ollama 推理）",[56,1086,1087],{},"✅ 国内开发者（直连 DeepSeek \u002F 通义不被墙）",[56,1089,1090],{},"❌ 嫌配置麻烦、想开箱即用 → 选 Cursor",[56,1092,1093],{},"❌ 需要完整 IDE 体验（多窗口、文件树、Composer 全套）→ 选 Cursor",[30,1095,455],{"id":455},[193,1097,1098,1102,1106,1111],{},[56,1099,1100],{},[461,1101,468],{"href":20},[56,1103,1104],{},[461,1105,479],{"href":478},[56,1107,1108],{},[461,1109,1110],{"href":602},"Aider 评测",[56,1112,1113],{},[461,1114,1115],{"href":605},"Roo Code 评测",[30,1117,482],{"id":482},[53,1119,1120,1127,1134],{},[56,1121,1122,1123],{},"Continue.dev 官方 pricing 页（含 Cursor 收购公告）",[461,1124,1125],{"href":1125,"rel":1126},"https:\u002F\u002Fwww.continue.dev\u002Fpricing",[492],[56,1128,1129,1130],{},"Milestone — Continue.dev features & pricing（2026-04-21）",[461,1131,1132],{"href":1132,"rel":1133},"https:\u002F\u002Fmstone.ai\u002Ftools-wizard\u002Fcontinue-dev-features-pricing",[492],[56,1135,1136,1137],{},"AIProductivity — Continue Pricing 2026 ",[461,1138,1139],{"href":1139,"rel":1140},"https:\u002F\u002Faiproductivity.ai\u002Fpricing\u002Fcontinue\u002F",[492],[1142,1143,1144],"style",{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}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);}",{"title":508,"searchDepth":509,"depth":509,"links":1146},[1147,1148,1149,1150,1151,1152,1153,1154,1155,1156],{"id":32,"depth":512,"text":33},{"id":48,"depth":512,"text":48},{"id":672,"depth":512,"text":673},{"id":741,"depth":512,"text":741},{"id":261,"depth":512,"text":261},{"id":289,"depth":512,"text":289},{"id":396,"depth":512,"text":396},{"id":431,"depth":512,"text":432},{"id":455,"depth":512,"text":455},{"id":482,"depth":512,"text":482},"\u002Fimg\u002Ftools\u002Fcontinue.webp","Continue.dev 真实评测：VS Code \u002F JetBrains 开源 AI 助手，支持 Autocomplete \u002F Edit \u002F Chat \u002F Agent 四模式，Apache 2.0，BYOK 接任意模型。2026 年初被 Cursor 收购，开源仓库继续维护。",[1160,1163,1166,1169],{"q":1161,"a":1162},"Continue 被 Cursor 收购后还能用吗？","能。开源仓库（Apache 2.0）继续在 GitHub 维护，VS Code \u002F JetBrains 扩展可正常装。Hub 订阅和云端服务由 Cursor 接管，但 BYOK + 本地 \u002F 自托管模式不受影响。",{"q":1164,"a":1165},"和 Cursor 区别？","Cursor 是闭源 IDE fork，体验更精致但锁定；Continue 是开源扩展，装在原版 VS Code \u002F JetBrains，可换任意模型（OpenAI\u002FAnthropic\u002FGemini\u002FOllama\u002F本地）。被收购后两者会逐渐互补——Continue 走开源扩展路线，Cursor 走 IDE 路线。",{"q":1167,"a":1168},"支持哪些模型？","OpenAI、Anthropic、Gemini、xAI、AWS Bedrock、Azure、Ollama（本地）、LM Studio、任何 OpenAI 兼容 endpoint。国内可直连 DeepSeek、通义、Kimi、GLM。",{"q":1170,"a":1171},"Agent 模式能干什么？","通过 MCP（Model Context Protocol）连接外部工具——读文件、跑命令、查数据库、调 API。和 Claude Code 的 tool use 一个思路，但你能自己接 MCP server。","https:\u002F\u002Fgithub.com\u002Fcontinuedev\u002Fcontinue",[1174,541],"zh",{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue",[547,548,549],[1179,1184,1187,1191],{"plan":1180,"price":1181,"seats":1182,"notes":1183},"OSS 自托管","$0","—","BYOK，自付 LLM API 费，Apache 2.0",{"plan":708,"price":1185,"seats":129,"notes":1186},"$3\u002FM tokens","PAYG，托管模型 + 共享 agent",{"plan":719,"price":1188,"seats":1189,"notes":1190},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":730,"price":177,"seats":1182,"notes":1192},"BYOK、SAML、enterprise 支持","开源免费 BYOK \u002F Hub Starter $3·M tokens \u002F Team $20·席·月 \u002F Company 定制",[1195,1198],{"name":1196,"url":1197},"Cursor MCP 数据库集成","\u002Fplaybook\u002Fonboarding\u002Fcursor-mcp-database",{"name":1199,"url":1200},"MCP 协议入门 Wiki","\u002Fwiki\u002Fmcp",{"power":572,"ux":572,"price":571,"cn_support":572,"stability":572},{"title":595,"description":1158},"coding\u002Fagent\u002Fcontinue",[1205,1207,1209],{"name":1206,"url":1125,"accessed":578},"Continue.dev 官方 pricing 页（收购公告）",{"name":1208,"url":1132,"accessed":578},"Milestone — Continue.dev features & pricing",{"name":1210,"url":1139,"accessed":578},"AIProductivity — Continue Pricing 2026","tools\u002Fcoding\u002Fagent\u002Fcontinue","开源 AI 编程扩展，Apache 2.0 + 多模型 BYOK；2026 已被 Cursor 收购",[1214,1215,547,548,522,1216],"opensource","byok","extension","想要 Cursor 体验但不被锁定的开发者首选——Apache 2.0 + 任意模型 + 自托管。被 Cursor 收购后，开源仓库还在，社区版长期可用。","https:\u002F\u002Fwww.continue.dev","p0EKNU0ZiqVYUuPhE6TfcxmhgKGc_gv89PviAWVJXWw",{"id":1221,"title":1222,"alternatives":1223,"api_compatible":3,"body":1231,"category":522,"chinese_friendly":512,"cover":1694,"description":1695,"domestic":525,"extension":526,"faq":1696,"free":525,"github":3,"languages":1709,"meta":1710,"models":3,"navigation":543,"notSuitable":3,"opensource":525,"path":1711,"pillar":545,"platforms":1712,"priceTable":1715,"pricing":1726,"published":562,"relatedPlaybooks":1727,"relatedReviews":3,"score":1734,"self_host":525,"seo":1735,"slug":1736,"sources":1737,"stem":1746,"suitable":3,"tagline":1747,"tags":1748,"updated":578,"verdict":1752,"website":1753,"__hash__":1754},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin.md","Devin",[1224,1227,1230],{"name":1225,"url":1226},"openhands","\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands",{"name":1228,"url":1229},"manus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",{"name":22,"url":23},{"type":27,"value":1232,"toc":1682},[1233,1235,1238,1241,1243,1246,1270,1273,1277,1282,1352,1357,1411,1414,1416,1420,1434,1438,1455,1457,1474,1476,1577,1579,1610,1612,1629,1631,1650,1652],[30,1234,33],{"id":32},[35,1236,1237],{},"Devin 是 Cognition Labs 推出的「自主 AI 软件工程师」。2024-03 首发时 $500\u002F月 + 引爆全网，2025-04 Devin 2.0 把入门价砍到 $20\u002F月（按 ACU 计费），2026 年又通过收购 Windsurf 扩张到桌面端。它的核心定位不是 copilot，而是「异步 agent」——把任务扔进去，它在云沙箱里独立 plan → code → test → PR，你第二天来看结果。",[35,1239,1240],{},"适合：有明确边界的工程任务（重构、bug fix、新 feature），不需要全程盯着的团队。不适合：交互式探索、紧急 hotfix、中文项目、超预算敏感的个人。",[30,1242,48],{"id":48},[35,1244,1245],{},"Devin 不在你电脑上跑——它有自己的云端 IDE + shell + 浏览器，等于一台 7×24 在线的远程开发机。给它一个 issue（GitHub \u002F Linear \u002F Slack 都行），它会：",[53,1247,1248,1255,1261,1264,1267],{},[56,1249,1250,1251,1254],{},"进 sandbox、",[283,1252,1253],{},"git clone"," 仓库、看 README、构建 Devin Wiki",[56,1256,1257,1260],{},[39,1258,1259],{},"Interactive Planning","：跟你确认实现方案",[56,1262,1263],{},"写代码、跑测试、调浏览器看结果",[56,1265,1266],{},"失败自己排查、改、再试（带 citations 引用代码行）",[56,1268,1269],{},"提 PR、回 Slack「搞定」",[35,1271,1272],{},"主打 Cloud + Async + 多并发：Core 最多 10 个 Devin 同时跑不同任务，Team 起无限并发。",[30,1274,1276],{"id":1275},"价格2026-06-综合官方-第三方追踪","价格（2026-06 综合官方 + 第三方追踪）",[35,1278,1279],{},[39,1280,1281],{},"Cloud Devin（按 ACU 计费）",[86,1283,1284,1302],{},[89,1285,1286],{},[92,1287,1288,1290,1293,1296,1299],{},[95,1289,97],{},[95,1291,1292],{},"月费",[95,1294,1295],{},"ACU 价",[95,1297,1298],{},"并发",[95,1300,1301],{},"关键能力",[111,1303,1304,1323,1339],{},[92,1305,1306,1311,1314,1317,1320],{},[116,1307,1308],{},[39,1309,1310],{},"Core",[116,1312,1313],{},"$20 起步（PAYG）",[116,1315,1316],{},"$2.25\u002FACU",[116,1318,1319],{},"10",[116,1321,1322],{},"Devin IDE、Ask Devin、Wiki",[92,1324,1325,1328,1331,1334,1336],{},[116,1326,1327],{},"Team",[116,1329,1330],{},"$500 含 250 ACU",[116,1332,1333],{},"$2\u002FACU（含内）",[116,1335,182],{},[116,1337,1338],{},"API、专属 Slack 频道、early access",[92,1340,1341,1343,1345,1347,1349],{},[116,1342,174],{},[116,1344,177],{},[116,1346,177],{},[116,1348,182],{},[116,1350,1351],{},"VPC、SSO、Custom Devins",[35,1353,1354],{},[39,1355,1356],{},"Devin Desktop（2026-06 Windsurf 改名后）",[86,1358,1359,1369],{},[89,1360,1361],{},[92,1362,1363,1365,1367],{},[95,1364,97],{},[95,1366,100],{},[95,1368,109],{},[111,1370,1371,1381,1390,1400],{},[92,1372,1373,1376,1378],{},[116,1374,1375],{},"Free",[116,1377,1181],{},[116,1379,1380],{},"轻量配额",[92,1382,1383,1386,1388],{},[116,1384,1385],{},"Pro",[116,1387,123],{},[116,1389,132],{},[92,1391,1392,1394,1397],{},[116,1393,158],{},[116,1395,1396],{},"$200\u002F月",[116,1398,1399],{},"重度用户",[92,1401,1402,1405,1408],{},[116,1403,1404],{},"Teams",[116,1406,1407],{},"$80\u002F月 + $40\u002F席",[116,1409,1410],{},"团队",[35,1412,1413],{},"ACU 经济账：1 ACU = 15 分钟 Devin 主动工作。一个中等任务（小 feature\u002F简单 bug）约消耗 0.5–1.5 ACU ≈ $1.13–$3.38。一个复杂 task（跨文件重构 + 测试）2–4 ACU ≈ $5–$10。",[30,1415,741],{"id":741},[35,1417,1418,222],{},[39,1419,746],{},[193,1421,1422,1425,1428,1431],{},[56,1423,1424],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[56,1426,1427],{},"Devin Wiki 自动生成的代码库地图很有用",[56,1429,1430],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[56,1432,1433],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[35,1435,1436,222],{},[39,1437,241],{},[193,1439,1440,1443,1446,1449,1452],{},[56,1441,1442],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[56,1444,1445],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[56,1447,1448],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[56,1450,1451],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[56,1453,1454],{},"Free trial 没有，最低要先付 $20 才能试",[30,1456,261],{"id":261},[53,1458,1459,1462,1465,1468,1471],{},[56,1460,1461],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[56,1463,1464],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[56,1466,1467],{},"给一个 issue + 验收标准（越具体越省 ACU）",[56,1469,1470],{},"Interactive Planning：审一遍方案",[56,1472,1473],{},"Devin 自动跑、PR 自动开、等 review",[30,1475,289],{"id":289},[86,1477,1478,1494],{},[89,1479,1480],{},[92,1481,1482,1484,1486,1489,1492],{},[95,1483,298],{},[95,1485,1222],{},[95,1487,1488],{},"OpenHands",[95,1490,1491],{},"Manus",[95,1493,310],{},[111,1495,1496,1513,1530,1545,1561],{},[92,1497,1498,1501,1504,1507,1510],{},[116,1499,1500],{},"模式",[116,1502,1503],{},"异步 Cloud Agent",[116,1505,1506],{},"自托管 \u002F Cloud",[116,1508,1509],{},"异步 Cloud",[116,1511,1512],{},"同步 CLI",[92,1514,1515,1518,1521,1524,1527],{},[116,1516,1517],{},"起步价",[116,1519,1520],{},"$20 + ACU",[116,1522,1523],{},"免费（开源）",[116,1525,1526],{},"$39\u002F月",[116,1528,1529],{},"Pro $20\u002F月",[92,1531,1532,1534,1537,1540,1543],{},[116,1533,1298],{},[116,1535,1536],{},"10–∞",[116,1538,1539],{},"自托管无限",[116,1541,1542],{},"5+",[116,1544,129],{},[92,1546,1547,1549,1552,1555,1558],{},[116,1548,383],{},[116,1550,1551],{},"弱",[116,1553,1554],{},"强（社区维护）",[116,1556,1557],{},"强（国产）",[116,1559,1560],{},"中",[92,1562,1563,1566,1569,1572,1574],{},[116,1564,1565],{},"沙箱",[116,1567,1568],{},"内置云端",[116,1570,1571],{},"Docker \u002F Cloud",[116,1573,1568],{},[116,1575,1576],{},"本地",[30,1578,396],{"id":396},[193,1580,1581,1587,1593,1599,1605],{},[56,1582,1583,1586],{},[39,1584,1585],{},"不要不写验收标准就丢任务","：Devin 会尽职跑，但跑到哪里算「完成」很主观，写明「跑通这个测试」「PR 必须含 changelog」",[56,1588,1589,1592],{},[39,1590,1591],{},"新项目 \u002F 老项目都要先 Wiki","：让它先生成 Devin Wiki，后续任务上下文准很多",[56,1594,1595,1598],{},[39,1596,1597],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[56,1600,1601,1604],{},[39,1602,1603],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[56,1606,1607,1609],{},[39,1608,421],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[30,1611,432],{"id":431},[193,1613,1614,1617,1620,1623,1626],{},[56,1615,1616],{},"✅ 海外团队、英文项目、批量化的中小 task",[56,1618,1619],{},"✅ 想做「夜跑 agent」流水线的工程团队",[56,1621,1622],{},"❌ 中文项目、国内个人开发者",[56,1624,1625],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[56,1627,1628],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[30,1630,455],{"id":455},[193,1632,1633,1639,1645],{},[56,1634,1635,1638],{},[461,1636,1637],{"href":1226},"OpenHands 评测","（Devin 的开源平替）",[56,1640,1641,1644],{},[461,1642,1643],{"href":1229},"Manus 评测","（国产 cloud agent）",[56,1646,1647,1649],{},[461,1648,473],{"href":23},"（同步替代方案）",[30,1651,482],{"id":482},[53,1653,1654,1661,1668,1675],{},[56,1655,1656,1657],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[461,1658,1659],{"href":1659,"rel":1660},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[492],[56,1662,1663,1664],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[461,1665,1666],{"href":1666,"rel":1667},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[492],[56,1669,1670,1671],{},"eesel — Cognition AI Pricing Explained ",[461,1672,1673],{"href":1673,"rel":1674},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[492],[56,1676,1677,1678],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[461,1679,1680],{"href":1680,"rel":1681},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[492],{"title":508,"searchDepth":509,"depth":509,"links":1683},[1684,1685,1686,1687,1688,1689,1690,1691,1692,1693],{"id":32,"depth":512,"text":33},{"id":48,"depth":512,"text":48},{"id":1275,"depth":512,"text":1276},{"id":741,"depth":512,"text":741},{"id":261,"depth":512,"text":261},{"id":289,"depth":512,"text":289},{"id":396,"depth":512,"text":396},{"id":431,"depth":512,"text":432},{"id":455,"depth":512,"text":455},{"id":482,"depth":512,"text":482},"\u002Fimg\u002Ftools\u002Fdevin.webp","Devin 真实评测：Cognition Labs 的自主编程 Agent。Core $20\u002F月 + $2.25\u002FACU（1 ACU ≈ 15 分钟），Team $500\u002F月含 250 ACUs。2026 收购 Windsurf 后产品线扩张到 Desktop Free\u002FPro\u002FMax。",[1697,1700,1703,1706],{"q":1698,"a":1699},"1 ACU 等于多少？","1 ACU ≈ Devin 主动工作 15 分钟。Core 单价 $2.25\u002FACU，Team 单价 $2\u002FACU。换算下来 Devin 主动小时成本约 $8–$9，确实接近 Upwork 入门级海外开发者，但能 7×24 工作。",{"q":1701,"a":1702},"Devin 和 Cursor \u002F Claude Code 区别？","Cursor \u002F Claude Code 是『陪你写』的 copilot，Devin 是『代你写』的 async agent——你给任务、它在云沙箱里独立完成、返回 PR。前者实时同步，后者异步交付。",{"q":1704,"a":1705},"2026 年 Devin \u002F Windsurf 关系？","Cognition 收购了 Windsurf 资产（前 Codeium），2026-06 后 Devin Desktop 取代 Windsurf IDE，新增 Free \u002F Pro $20\u002FMax $200 桌面端订阅，Cloud 版（Core\u002FTeam\u002FEnterprise）保留 ACU 计费。",{"q":1707,"a":1708},"Devin 能跑国内项目吗？","技术上可以——它在云沙箱跑 Linux 命令、git、浏览器。但默认走美国节点，访问国内 git\u002Fnpm 镜像慢，且不支持中文 prompt（会回英文）。国内团队建议看 OpenHands 自托管或 Manus。",[541],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",[1713,1714],"cloud","desktop",[1716,1720,1724],{"plan":1717,"price":1718,"seats":129,"notes":1719},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":1327,"price":1721,"seats":1722,"notes":1723},"$500\u002F月","≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":174,"price":177,"seats":1182,"notes":1725},"VPC 部署、SAML\u002FOIDC SSO、Custom Devins","Core $20·月 起按 ACU \u002F Team $500·月含 250 ACU \u002F Enterprise 定制",[1728,1731],{"name":1729,"url":1730},"AI PR Review Pipeline","\u002Fplaybook\u002Freview\u002Fai-pr-review-pipeline",{"name":1732,"url":1733},"AI Agent 概念入门 Wiki","\u002Fwiki\u002Fai-agent",{"power":571,"ux":572,"price":512,"cn_support":512,"stability":572},{"title":1222,"description":1695},"coding\u002Fagent\u002Fdevin",[1738,1740,1742,1744],{"name":1739,"url":1659,"accessed":578},"SiliconAngle — Devin 2.0 launch",{"name":1741,"url":1666,"accessed":578},"CostBench — Devin AI Pricing 2026",{"name":1743,"url":1673,"accessed":578},"eesel — Cognition AI Pricing",{"name":1745,"url":1680,"accessed":578},"Vibe Coding — Devin Review 2026 (Windsurf rebrand)","tools\u002Fcoding\u002Fagent\u002Fdevin","Cognition 出品的自主 AI 软件工程师，ACU 计费，2026 已并入 Windsurf 阵营",[522,1749,1713,1750,1751],"autonomous","ACU","async","AI 自主编程的开山旗手，2026 价格从 $500 起跳降到 $20 起步。ACU 计费让成本可预算化，但单 ACU $2.25 仍是同类最贵，适合『把任务扔进去、明天看 PR』的异步开发模式。","https:\u002F\u002Fdevin.ai","68AhwdBz_aUeyATlc897dupjP5HNLfAacT6xRyKuEOE",{"id":1756,"title":1488,"alternatives":1757,"api_compatible":3,"body":1763,"category":522,"chinese_friendly":572,"cover":2198,"description":2199,"domestic":525,"extension":526,"faq":2200,"free":525,"github":2213,"languages":2214,"meta":2215,"models":3,"navigation":543,"notSuitable":3,"opensource":543,"path":1226,"pillar":545,"platforms":2216,"priceTable":2218,"pricing":2225,"published":562,"relatedPlaybooks":2226,"relatedReviews":3,"score":2231,"self_host":543,"seo":2232,"slug":2233,"sources":2234,"stem":2243,"suitable":3,"tagline":2244,"tags":2245,"updated":578,"verdict":2249,"website":2250,"__hash__":2251},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands.md",[1758,1760,1761,1762],{"name":1759,"url":1711},"devin",{"name":601,"url":602},{"name":599,"url":478},{"name":1228,"url":1229},{"type":27,"value":1764,"toc":2186},[1765,1767,1774,1777,1779,1782,1805,1808,1835,1837,1883,1886,1890,1894,1915,1919,1939,1941,1970,1972,2070,2072,2112,2114,2131,2133,2154,2156],[30,1766,33],{"id":32},[35,1768,1769,1770,1773],{},"OpenHands（前 OpenDevin）是 MIT 开源的自主编程 Agent 平台，由 All Hands AI 主导，GitHub 40k+ stars。它的目标和 Devin 一致——给 AI 一个完整的开发者工具集（编辑器、shell、浏览器、API），让它能像人一样完成端到端开发任务。差异在于：",[39,1771,1772],{},"OpenHands 完全开源 + 多入口 + BYOK","，可以本地 docker 起一个、可以走免费 Cloud、可以企业自托管。",[35,1775,1776],{},"适合：合规 \u002F 隐私敏感场景、想用 Claude \u002F GPT \u002F 本地 Ollama 的人、嫌 Devin 贵且不能落地的人。不适合：想要开箱即用 SaaS 体验、不想碰 Docker \u002F yaml 的非技术用户。",[30,1778,48],{"id":48},[35,1780,1781],{},"OpenHands 的核心是「Agent + 工具集」，工具集包括：",[193,1783,1784,1787,1790,1793,1796,1799],{},[56,1785,1786],{},"文件编辑（多文件 diff\u002Fedit）",[56,1788,1789],{},"shell command 执行（Docker sandbox 隔离）",[56,1791,1792],{},"浏览器自动化（点击、表单、截图）",[56,1794,1795],{},"API 调用 \u002F HTTP 请求",[56,1797,1798],{},"Git 仓库操作（clone、commit、PR）",[56,1800,1801,1804],{},[39,1802,1803],{},"MCP 协议","：可挂载任意第三方 tool",[35,1806,1807],{},"四种使用入口：",[53,1809,1810,1818,1824,1829],{},[56,1811,1812,222,1814,1817],{},[39,1813,1180],{},[283,1815,1816],{},"docker run"," 一行起，本地 Web GUI + CLI",[56,1819,1820,1823],{},[39,1821,1822],{},"Individual Cloud","：openhands.dev 注册免费用，每天 10 会话",[56,1825,1826,1828],{},[39,1827,174],{},"：私有云 + 多用户 + RBAC + 集中 billing",[56,1830,1831,1834],{},[39,1832,1833],{},"Cloud Agent SDK","：把 OpenHands 当 lib 嵌入自家产品",[30,1836,84],{"id":83},[86,1838,1839,1850],{},[89,1840,1841],{},[92,1842,1843,1845,1847],{},[95,1844,97],{},[95,1846,100],{},[95,1848,1849],{},"限制",[111,1851,1852,1863,1874],{},[92,1853,1854,1858,1860],{},[116,1855,1856],{},[39,1857,1180],{},[116,1859,1181],{},[116,1861,1862],{},"BYOK，单用户，自己付 LLM 费",[92,1864,1865,1869,1871],{},[116,1866,1867],{},[39,1868,1822],{},[116,1870,1181],{},[116,1872,1873],{},"每天 10 会话，BYOK 或 OpenHands at-cost LLM",[92,1875,1876,1878,1880],{},[116,1877,174],{},[116,1879,177],{},[116,1881,1882],{},"多用户、SAML\u002FSSO、专属支持、Slack 频道",[35,1884,1885],{},"至今没有「Cloud Pro $X\u002F月」中间档——要么免费 BYOK，要么直接谈 Enterprise。BYOK 路线下，实际 LLM 成本主导：跑一个中等任务（5–10 步）约 $0.5–$2 Claude Sonnet token。",[30,1887,1889],{"id":1888},"实测本地-docker-一周高强度试用","实测（本地 docker 一周高强度试用）",[35,1891,1892,222],{},[39,1893,746],{},[193,1895,1896,1903,1906,1909,1912],{},[56,1897,1898,1899,1902],{},"起步快：",[283,1900,1901],{},"docker run -p 3000:3000 allhandsai\u002Fopenhands"," 三分钟到 Web UI",[56,1904,1905],{},"中文支持比 Devin 好——社区贡献了不少中文 prompt 案例",[56,1907,1908],{},"浏览器 use 能力扎实——能去 stackoverflow 搜错误后修代码",[56,1910,1911],{},"任务可视化：sandbox 里跑的每条命令、改的每个文件都有回放",[56,1913,1914],{},"BYOK 灵活：白天 Claude Sonnet 4，晚上 DeepSeek R1，省钱",[35,1916,1917,222],{},[39,1918,241],{},[193,1920,1921,1927,1930,1933,1936],{},[56,1922,1923,1926],{},[39,1924,1925],{},"自主性偶尔失控","：会陷入「装包失败 → 改 requirements → 再装 → 再失败」死循环，需要人工打断",[56,1928,1929],{},"长任务（>30 分钟）context window 会爆，需要把任务拆小",[56,1931,1932],{},"Windows 用户必走 WSL2 + Docker Desktop，原生 docker 不稳",[56,1934,1935],{},"GUI 体验不如 Cursor \u002F Devin 精致——是工程师工具，不是 PM 工具",[56,1937,1938],{},"沙箱占资源——idle 时也吃 1–2GB 内存",[30,1940,261],{"id":261},[53,1942,1943,1946,1951,1957,1960,1963],{},[56,1944,1945],{},"装 Docker（含 docker-in-docker 支持）",[56,1947,1948],{},[283,1949,1950],{},"docker pull docker.all-hands.dev\u002Fall-hands-ai\u002Fopenhands:latest",[56,1952,1953,1954],{},"一行启动（官方推荐命令在 docs），打开 ",[283,1955,1956],{},"localhost:3000",[56,1958,1959],{},"选 LLM provider（Anthropic \u002F OpenAI \u002F Ollama \u002F 任意 OpenAI 兼容 endpoint）+ 填 API key",[56,1961,1962],{},"描述任务（中文 OK），Agent 在 sandbox 里跑给你看",[56,1964,1965,1966,1969],{},"进阶：编辑 ",[283,1967,1968],{},"config.toml"," 加 MCP server，或 fork 仓库改 microagent prompt",[30,1971,289],{"id":289},[86,1973,1974,1988],{},[89,1975,1976],{},[92,1977,1978,1980,1982,1984,1986],{},[95,1979,298],{},[95,1981,1488],{},[95,1983,1222],{},[95,1985,945],{},[95,1987,1491],{},[111,1989,1990,2003,2016,2028,2042,2055],{},[92,1991,1992,1994,1997,1999,2001],{},[116,1993,969],{},[116,1995,1996],{},"✅ MIT",[116,1998,360],{},[116,2000,354],{},[116,2002,360],{},[92,2004,2005,2008,2010,2012,2014],{},[116,2006,2007],{},"自托管",[116,2009,354],{},[116,2011,360],{},[116,2013,354],{},[116,2015,360],{},[92,2017,2018,2020,2022,2024,2026],{},[116,2019,1517],{},[116,2021,1181],{},[116,2023,1520],{},[116,2025,1181],{},[116,2027,1526],{},[92,2029,2030,2032,2034,2037,2039],{},[116,2031,383],{},[116,2033,1032],{},[116,2035,2036],{},"1\u002F5",[116,2038,389],{},[116,2040,2041],{},"5\u002F5",[92,2043,2044,2047,2049,2051,2053],{},[116,2045,2046],{},"Browser use",[116,2048,354],{},[116,2050,354],{},[116,2052,360],{},[116,2054,354],{},[92,2056,2057,2060,2063,2066,2068],{},[116,2058,2059],{},"上手成本",[116,2061,2062],{},"中（需 Docker）",[116,2064,2065],{},"低",[116,2067,2065],{},[116,2069,2065],{},[30,2071,396],{"id":396},[193,2073,2074,2080,2086,2100,2106],{},[56,2075,2076,2079],{},[39,2077,2078],{},"沙箱必启用","：直接给 OpenHands 你的家目录权限 = 自杀，永远走 docker-in-docker 隔离",[56,2081,2082,2085],{},[39,2083,2084],{},"API key 限额要设","：BYOK 没有月度上限，Agent 一旦循环可能一夜烧掉 $100+，在 Anthropic \u002F OpenAI 控制台配 budget alert",[56,2087,2088,2091,2092,2095,2096,2099],{},[39,2089,2090],{},"大仓库先 wiki","：让 OpenHands 跑一遍 ",[283,2093,2094],{},"summarize the repo","，把结果存到 ",[283,2097,2098],{},"microagents\u002F","，后续任务上下文更准",[56,2101,2102,2105],{},[39,2103,2104],{},"MCP 来源审计","：开 MCP server 等于给 Agent 一把外部钥匙，第三方 server 先审代码",[56,2107,2108,2111],{},[39,2109,2110],{},"不要给 production repo 直接权限","：先 fork \u002F 分支隔离，让 Agent 提 PR 而不是直接 push",[30,2113,432],{"id":431},[193,2115,2116,2119,2122,2125,2128],{},[56,2117,2118],{},"✅ 中文 \u002F 国内场景（速度 + 隐私 + 成本三优）",[56,2120,2121],{},"✅ 合规 \u002F 私有云部署",[56,2123,2124],{},"✅ 想做企业内部 AI 开发平台的底座",[56,2126,2127],{},"❌ 不会 Docker \u002F 不愿读 yaml 的 PM \u002F 设计师",[56,2129,2130],{},"❌ 要 Devin 那种端到端体验（PR \u002F Slack \u002F Wiki 全自动）",[30,2132,455],{"id":455},[193,2134,2135,2141,2145,2149],{},[56,2136,2137,2140],{},[461,2138,2139],{"href":1711},"Devin 评测","（闭源同类）",[56,2142,2143],{},[461,2144,1110],{"href":602},[56,2146,2147],{},[461,2148,479],{"href":478},[56,2150,2151,2153],{},[461,2152,1643],{"href":1229},"（国产 Cloud 替代）",[30,2155,482],{"id":482},[53,2157,2158,2165,2172,2179],{},[56,2159,2160,2161],{},"OpenHands 官方 Pricing ",[461,2162,2163],{"href":2163,"rel":2164},"https:\u002F\u002Fwww.openhands.dev\u002Fpricing",[492],[56,2166,2167,2168],{},"AISO Tools — OpenHands Pricing 2026（2026-06-21）",[461,2169,2170],{"href":2170,"rel":2171},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fopenhands",[492],[56,2173,2174,2175],{},"AI Tool Finder — OpenHands Review 2026（2026-05-14）",[461,2176,2177],{"href":2177,"rel":2178},"https:\u002F\u002Faitoolfinder.org\u002Ftools\u002Fopenhands",[492],[56,2180,2181,2182],{},"OSS-AI-SWE 项目目录 ",[461,2183,2184],{"href":2184,"rel":2185},"https:\u002F\u002Foss-ai-swe.org\u002Fopen-hands",[492],{"title":508,"searchDepth":509,"depth":509,"links":2187},[2188,2189,2190,2191,2192,2193,2194,2195,2196,2197],{"id":32,"depth":512,"text":33},{"id":48,"depth":512,"text":48},{"id":83,"depth":512,"text":84},{"id":1888,"depth":512,"text":1889},{"id":261,"depth":512,"text":261},{"id":289,"depth":512,"text":289},{"id":396,"depth":512,"text":396},{"id":431,"depth":512,"text":432},{"id":455,"depth":512,"text":455},{"id":482,"depth":512,"text":482},"\u002Fimg\u002Ftools\u002Fopenhands.webp","OpenHands 真实评测：MIT 开源自主编程 Agent，前身 OpenDevin。可云端、本地 GUI、CLI、SDK 多种方式跑，BYOK 任意 LLM。Individual 免费、Enterprise 自托管多用户。40k+ GitHub stars。",[2201,2204,2207,2210],{"q":2202,"a":2203},"OpenHands 和 OpenDevin 什么关系？","同一个项目。2024 年底从 OpenDevin 改名 OpenHands，由 All Hands AI 主导维护，社区贡献者来自学术界和工业界。",{"q":2205,"a":2206},"和 Devin 比能力差多少？","核心能力覆盖：plan、code、run command、browser use、MCP tool use 都有。差距主要在『一体化体验』——Devin 自带 Wiki\u002FSlack\u002FIDE，OpenHands 需要自己拼 Docker + GUI\u002FCLI；任务成功率两者接近，特定 benchmark（SWE-Bench）OpenHands 还领先过。",{"q":2208,"a":2209},"本地跑要什么配置？","Docker 必备（Linux\u002FmacOS\u002FWSL2），16GB 内存以上推荐，API key 可走 Anthropic Claude \u002F OpenAI GPT \u002F 本地 Ollama。沙箱用 docker-in-docker，CPU 占用偶发尖峰。",{"q":2211,"a":2212},"Individual Cloud 真的免费？","免费，但限制每天 10 会话；BYOK 自付模型 token，或用『OpenHands LLM provider』按 at-cost 转售价 PAYG（无加价）。","https:\u002F\u002Fgithub.com\u002FAll-Hands-AI\u002FOpenHands",[1174,541],{},[2217,1713,549],"docker",[2219,2221,2223],{"plan":1180,"price":1181,"seats":129,"notes":2220},"MIT，Docker 起，BYOK，单用户",{"plan":1822,"price":1181,"seats":129,"notes":2222},"每日 10 会话上限，BYOK 或用 OpenHands LLM at-cost",{"plan":174,"price":177,"seats":182,"notes":2224},"自托管多用户、RBAC、SAML\u002FSSO、SLA、专属支持","OSS MIT 免费 \u002F Individual Cloud 免费 BYOK \u002F Enterprise 定制",[2227,2230],{"name":2228,"url":2229},"Legacy 代码库 AI Onboarding","\u002Fplaybook\u002Fonboarding\u002Flegacy-codebase-onboarding",{"name":1732,"url":1733},{"power":572,"ux":509,"price":571,"cn_support":572,"stability":509},{"title":1488,"description":2199},"coding\u002Fagent\u002Fopenhands",[2235,2237,2239,2241],{"name":2236,"url":2163,"accessed":578},"OpenHands 官方 pricing",{"name":2238,"url":2170,"accessed":578},"AISO Tools — OpenHands Pricing 2026",{"name":2240,"url":2177,"accessed":578},"AI Tool Finder — OpenHands Review 2026",{"name":2242,"url":2184,"accessed":578},"OSS-AI-SWE — OpenHands intro","tools\u002Fcoding\u002Fagent\u002Fopenhands","开源自主编程 Agent（前 OpenDevin），MIT 许可，多入口（Cloud\u002FCLI\u002FLocal\u002FSDK）",[522,1749,1214,2246,2247,2248,1215],"mit","sandbox","mcp","想要 Devin 能力又不想为 ACU 付费 + 担心代码出境的人选 OpenHands。MIT 开源 + Docker 自托管 + BYOK 任意 LLM，是企业级自主 Agent 的开源旗手。","https:\u002F\u002Fwww.openhands.dev","DFosd9OUmpxRhhrEU4jOSPPl0BQrhgA_xvkxn5fJjpM",{"id":2253,"title":2254,"alternatives":2255,"api_compatible":3,"body":2268,"category":522,"chinese_friendly":815,"cover":2906,"description":2907,"domestic":525,"extension":526,"faq":2908,"free":525,"github":3,"languages":2921,"meta":2922,"models":3,"navigation":543,"notSuitable":3,"opensource":543,"path":2923,"pillar":545,"platforms":2924,"priceTable":2926,"pricing":2937,"published":562,"relatedPlaybooks":2938,"relatedReviews":3,"score":2942,"self_host":543,"seo":2943,"slug":2944,"sources":2945,"stem":2954,"suitable":3,"tagline":2955,"tags":2956,"updated":578,"verdict":2962,"website":2963,"__hash__":2964},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fraga.md","RagaAI Catalyst",[2256,2259,2262,2265],{"name":2257,"url":2258},"helicone","\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone",{"name":2260,"url":2261},"portkey","\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey",{"name":2263,"url":2264},"litellm","\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm",{"name":2266,"url":2267},"langflow","\u002Ftools\u002Fagent\u002Flangflow",{"type":27,"value":2269,"toc":2894},[2270,2272,2275,2278,2281,2337,2339,2358,2364,2368,2373,2393,2398,2421,2423,2442,2594,2597,2755,2757,2807,2809,2835,2837,2859,2861,2891],[30,2271,33],{"id":32},[35,2273,2274],{},"RagaAI Catalyst 是印度 RagaAI 出品的 AI agent \u002F RAG \u002F LLM 应用『测试 + 观测』专项平台——Python SDK + 云端，300+ 自动化测试库覆盖 hallucination \u002F bias \u002F RAG faithfulness \u002F agentic 协作，多 agent 系统 tracing + debug，主打『部署前发现生产风险减少 90%』。Catalyst SDK 开源（github.com\u002Fraga-ai-hub\u002FRagaAI-Catalyst），Cloud \u002F Enterprise 走销售定价。",[35,2276,2277],{},"适合：构建生产级 agentic 系统的中大型团队（金融 \u002F 医疗 \u002F 政企）需要 pre-prod 风险量化；RAG pipeline 需要 retrieval \u002F faithfulness 多维评测；多 agent 协作系统需要 trace + debug 工具链。不适合：单一 LLM 调用 + 简单观测（Helicone \u002F Langfuse 更轻）；预算紧的小团队（社区版 SDK 够但 Cloud 走企业销售）；中文 \u002F 国内合规为主（生态弱）。",[30,2279,2280],{"id":2280},"核心能力",[193,2282,2283,2289,2295,2301,2307,2313,2319,2325,2331],{},[56,2284,2285,2288],{},[39,2286,2287],{},"300+ 自动化测试","：LLM（hallucination \u002F toxicity \u002F PII \u002F prompt injection）+ RAG（precision \u002F faithfulness \u002F relevance）+ Agentic（tool 正确性 \u002F 协作一致性 \u002F 任务完成率）",[56,2290,2291,2294],{},[39,2292,2293],{},"多 agent tracing","：每次 LLM \u002F tool \u002F sub-agent 调用都可追溯 + 时序回放",[56,2296,2297,2300],{},[39,2298,2299],{},"多 agent debug","：复杂 agent 失败时回放每个决策点 + 上下文",[56,2302,2303,2306],{},[39,2304,2305],{},"Python SDK","：包装 LangChain \u002F LlamaIndex \u002F 自家框架自动埋点",[56,2308,2309,2312],{},[39,2310,2311],{},"风险量化","：每个测试出风险分 + 影响面 + 修复建议",[56,2314,2315,2318],{},[39,2316,2317],{},"数据集管理","：build eval dataset + 跑 regression",[56,2320,2321,2324],{},[39,2322,2323],{},"报告 \u002F 仪表盘","：团队级风险仪表盘 + 趋势 + CI\u002FCD 集成",[56,2326,2327,2330],{},[39,2328,2329],{},"自托管 SDK + Cloud 协同","：SDK 本地跑、Cloud 集中可视化",[56,2332,2333,2336],{},[39,2334,2335],{},"合规友好","：私有部署 + SSO + 审计（Enterprise）",[30,2338,100],{"id":100},[193,2340,2341,2347,2353],{},[56,2342,2343,2346],{},[39,2344,2345],{},"Catalyst OSS Python SDK","：$0；功能含 tracing + 部分 eval",[56,2348,2349,2352],{},[39,2350,2351],{},"Cloud","：Custom（联系销售）；含全 300+ 测试库 + 仪表盘 + 协作",[56,2354,2355,2357],{},[39,2356,174],{},"：Custom + SSO + 私有部署 + SLA",[2359,2360,2361],"blockquote",{},[35,2362,2363],{},"真实场景：先用 OSS SDK 跑 trace 评估价值，进 PoC 后再谈 Cloud 价格。",[30,2365,2367],{"id":2366},"实测中型-rag-agentic-产品-印度欧美客户","实测（中型 RAG \u002F agentic 产品 \u002F 印度欧美客户）",[35,2369,2370],{},[39,2371,2372],{},"亮点：",[193,2374,2375,2378,2381,2384,2387,2390],{},[56,2376,2377],{},"300+ 测试库省去 reinvent 各种 eval metric 的工作",[56,2379,2380],{},"RAG faithfulness \u002F context precision 测试对反 hallucination 很有用",[56,2382,2383],{},"多 agent trace + 回放在调试复杂协作链时是救命工具",[56,2385,2386],{},"风险评分给业务方一个 quantitative 沟通口径",[56,2388,2389],{},"Catalyst SDK 开源，预算紧团队也能先用上",[56,2391,2392],{},"与 LangChain \u002F LlamaIndex 集成顺滑",[35,2394,2395],{},[39,2396,2397],{},"踩坑：",[193,2399,2400,2403,2406,2409,2412,2415,2418],{},[56,2401,2402],{},"文档对高级配置 + 自定义测试覆盖不足，社区反馈一致",[56,2404,2405],{},"Cloud 定价不透明，PoC 才能拿到报价",[56,2407,2408],{},"报告 \u002F UI 偏英文 + 印度产品风格，中文场景弱",[56,2410,2411],{},"多 agent trace 在超大调用图（>500 step）下渲染慢",[56,2413,2414],{},"测试结果质量依赖 dataset 质量，garbage in \u002F garbage out",[56,2416,2417],{},"比 Langfuse 更偏『测试』少偏『日常 observability』，两个工具有时要叠用",[56,2419,2420],{},"国内访问 Cloud 延迟 + 合规需要评估",[30,2422,261],{"id":261},[804,2424,2428],{"className":2425,"code":2426,"language":2427,"meta":508,"style":508},"language-bash shiki shiki-themes github-light github-dark","pip install ragaai-catalyst\n","bash",[283,2429,2430],{"__ignoreMap":508},[812,2431,2432,2436,2439],{"class":814,"line":815},[812,2433,2435],{"class":2434},"sScJk","pip",[812,2437,2438],{"class":839}," install",[812,2440,2441],{"class":839}," ragaai-catalyst\n",[804,2443,2447],{"className":2444,"code":2445,"language":2446,"meta":508,"style":508},"language-python shiki shiki-themes github-light github-dark","from ragaai_catalyst import RagaAICatalyst, Tracer\n\ncatalyst = RagaAICatalyst(\n    access_key=\"...\",\n    secret_key=\"...\",\n    base_url=\"https:\u002F\u002Fcatalyst.raga.ai\"\n)\n\ntracer = Tracer(project_name=\"my-rag-app\", tracer_type=\"langchain\")\ntracer.start()\n\n# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n\ntracer.stop()\n# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n","python",[283,2448,2449,2464,2469,2480,2493,2504,2514,2519,2523,2554,2559,2564,2571,2577,2582,2588],{"__ignoreMap":508},[812,2450,2451,2455,2458,2461],{"class":814,"line":815},[812,2452,2454],{"class":2453},"szBVR","from",[812,2456,2457],{"class":818}," ragaai_catalyst ",[812,2459,2460],{"class":2453},"import",[812,2462,2463],{"class":818}," RagaAICatalyst, Tracer\n",[812,2465,2466],{"class":814,"line":512},[812,2467,2468],{"emptyLinePlaceholder":543},"\n",[812,2470,2471,2474,2477],{"class":814,"line":509},[812,2472,2473],{"class":818},"catalyst ",[812,2475,2476],{"class":2453},"=",[812,2478,2479],{"class":818}," RagaAICatalyst(\n",[812,2481,2482,2486,2488,2491],{"class":814,"line":572},[812,2483,2485],{"class":2484},"s4XuR","    access_key",[812,2487,2476],{"class":2453},[812,2489,2490],{"class":839},"\"...\"",[812,2492,843],{"class":818},[812,2494,2495,2498,2500,2502],{"class":814,"line":571},[812,2496,2497],{"class":2484},"    secret_key",[812,2499,2476],{"class":2453},[812,2501,2490],{"class":839},[812,2503,843],{"class":818},[812,2505,2506,2509,2511],{"class":814,"line":870},[812,2507,2508],{"class":2484},"    base_url",[812,2510,2476],{"class":2453},[812,2512,2513],{"class":839},"\"https:\u002F\u002Fcatalyst.raga.ai\"\n",[812,2515,2516],{"class":814,"line":6},[812,2517,2518],{"class":818},")\n",[812,2520,2521],{"class":814,"line":9},[812,2522,2468],{"emptyLinePlaceholder":543},[812,2524,2525,2528,2530,2533,2536,2538,2541,2544,2547,2549,2552],{"class":814,"line":898},[812,2526,2527],{"class":818},"tracer ",[812,2529,2476],{"class":2453},[812,2531,2532],{"class":818}," Tracer(",[812,2534,2535],{"class":2484},"project_name",[812,2537,2476],{"class":2453},[812,2539,2540],{"class":839},"\"my-rag-app\"",[812,2542,2543],{"class":818},", ",[812,2545,2546],{"class":2484},"tracer_type",[812,2548,2476],{"class":2453},[812,2550,2551],{"class":839},"\"langchain\"",[812,2553,2518],{"class":818},[812,2555,2556],{"class":814,"line":8},[812,2557,2558],{"class":818},"tracer.start()\n",[812,2560,2562],{"class":814,"line":2561},11,[812,2563,2468],{"emptyLinePlaceholder":543},[812,2565,2567],{"class":814,"line":2566},12,[812,2568,2570],{"class":2569},"sJ8bj","# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n",[812,2572,2574],{"class":814,"line":2573},13,[812,2575,2576],{"class":2569},"# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n",[812,2578,2580],{"class":814,"line":2579},14,[812,2581,2468],{"emptyLinePlaceholder":543},[812,2583,2585],{"class":814,"line":2584},15,[812,2586,2587],{"class":818},"tracer.stop()\n",[812,2589,2591],{"class":814,"line":2590},16,[812,2592,2593],{"class":2569},"# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n",[30,2595,2596],{"id":2596},"对比",[86,2598,2599,2616],{},[89,2600,2601],{},[92,2602,2603,2605,2607,2610,2613],{},[95,2604,298],{},[95,2606,2254],{},[95,2608,2609],{},"Langfuse",[95,2611,2612],{},"Helicone",[95,2614,2615],{},"Portkey",[111,2617,2618,2635,2650,2665,2679,2693,2709,2722,2739],{},[92,2619,2620,2623,2626,2629,2632],{},[116,2621,2622],{},"主打",[116,2624,2625],{},"测试 + 风险量化",[116,2627,2628],{},"Tracing + eval",[116,2630,2631],{},"Proxy 观测 + gateway",[116,2633,2634],{},"Gateway + 观测",[92,2636,2637,2640,2643,2645,2648],{},[116,2638,2639],{},"自动化测试库",[116,2641,2642],{},"✅ 300+",[116,2644,357],{},[116,2646,2647],{},"浅",[116,2649,2647],{},[92,2651,2652,2655,2658,2661,2663],{},[116,2653,2654],{},"Agentic debug",[116,2656,2657],{},"✅ 强",[116,2659,2660],{},"✅ nested span",[116,2662,2647],{},[116,2664,1560],{},[92,2666,2667,2670,2672,2675,2677],{},[116,2668,2669],{},"RAG 专项测试",[116,2671,2657],{},[116,2673,2674],{},"✅ 中",[116,2676,1551],{},[116,2678,1551],{},[92,2680,2681,2684,2686,2688,2690],{},[116,2682,2683],{},"Proxy \u002F gateway",[116,2685,360],{},[116,2687,360],{},[116,2689,354],{},[116,2691,2692],{},"✅ 250+",[92,2694,2695,2698,2701,2704,2706],{},[116,2696,2697],{},"自托管 OSS",[116,2699,2700],{},"SDK 部分",[116,2702,2703],{},"✅ MIT 19K+",[116,2705,354],{},[116,2707,2708],{},"OSS Gateway only",[92,2710,2711,2714,2716,2718,2720],{},[116,2712,2713],{},"中文生态",[116,2715,360],{},[116,2717,360],{},[116,2719,360],{},[116,2721,360],{},[92,2723,2724,2727,2730,2733,2736],{},[116,2725,2726],{},"定价透明",[116,2728,2729],{},"❌ Custom",[116,2731,2732],{},"✅ $0\u002F$29\u002FEnterprise",[116,2734,2735],{},"✅ $0\u002F$79\u002F$799",[116,2737,2738],{},"✅ $0\u002F$49\u002F$799",[92,2740,2741,2743,2746,2749,2752],{},[116,2742,688],{},[116,2744,2745],{},"pre-prod testing + agentic",[116,2747,2748],{},"日常 tracing + eval",[116,2750,2751],{},"改 URL 快上手",[116,2753,2754],{},"gateway + 治理",[30,2756,396],{"id":396},[193,2758,2759,2765,2771,2777,2783,2789,2795,2801],{},[56,2760,2761,2764],{},[39,2762,2763],{},"OSS SDK ≠ 完整 Cloud","：300+ 测试库主要在 Cloud，OSS 主要 tracing + 部分 eval",[56,2766,2767,2770],{},[39,2768,2769],{},"dataset 质量决定测试质量","：建 eval dataset 时务必含 edge case \u002F adversarial 例",[56,2772,2773,2776],{},[39,2774,2775],{},"大 trace 渲染慢","：>500 step 的 agent 用 filter \u002F sampling",[56,2778,2779,2782],{},[39,2780,2781],{},"Cloud 定价 PoC 谈","：先 SDK 跑两月有数据再谈合同",[56,2784,2785,2788],{},[39,2786,2787],{},"不替代日常 observability","：复杂场景叠 Langfuse \u002F Helicone",[56,2790,2791,2794],{},[39,2792,2793],{},"中文场景弱","：报告 \u002F 文档 \u002F UI 均英文为主，国内项目要评估团队接受度",[56,2796,2797,2800],{},[39,2798,2799],{},"Agentic 测试时间长","：300+ 测试跑一遍可能数小时，CI\u002FCD 集成要 schedule 而非每次 PR",[56,2802,2803,2806],{},[39,2804,2805],{},"风险评分谨慎宣传","：『-90% 生产风险』是营销话术，实际依赖你的实施质量",[30,2808,432],{"id":431},[193,2810,2811,2814,2817,2820,2823,2826,2829,2832],{},[56,2812,2813],{},"✅ 生产级 agentic 系统 \u002F RAG pipeline 的中大型团队",[56,2815,2816],{},"✅ 金融 \u002F 医疗 \u002F 政企需要风险量化沟通",[56,2818,2819],{},"✅ 多 agent 协作系统需要 trace + debug",[56,2821,2822],{},"✅ 想把 LLM eval 从手工脚本升级成系统化平台",[56,2824,2825],{},"❌ 单一 LLM 调用 + 简单观测",[56,2827,2828],{},"❌ 预算紧 + 不要 Cloud（OSS SDK 部分能力够）",[56,2830,2831],{},"❌ 中文 \u002F 国内合规为主",[56,2833,2834],{},"❌ 不愿走企业销售流程",[30,2836,455],{"id":455},[193,2838,2839,2844,2849,2854],{},[56,2840,2841],{},[461,2842,2843],{"href":2258},"Helicone 评测",[56,2845,2846],{},[461,2847,2848],{"href":2261},"Portkey 评测",[56,2850,2851],{},[461,2852,2853],{"href":2264},"LiteLLM 评测",[56,2855,2856],{},[461,2857,2858],{"href":2267},"Langflow 评测",[30,2860,482],{"id":482},[53,2862,2863,2870,2877,2884],{},[56,2864,2865,2866],{},"F6S — RagaAI Catalyst 产品概览 ",[461,2867,2868],{"href":2868,"rel":2869},"https:\u002F\u002Fwww.f6s.com\u002Fsoftware\u002Fragaai-catalyst",[492],[56,2871,2872,2873],{},"AIIndigo — RagaAI Catalyst 评测 + 定价 + 替代品 2026 ",[461,2874,2875],{"href":2875,"rel":2876},"https:\u002F\u002Faiindigo.com\u002Ftool\u002Fragaai-catalyst",[492],[56,2878,2879,2880],{},"SwitchTools — RagaAI Inc 平台（300+ 测试 \u002F 90% 风险下降）",[461,2881,2882],{"href":2882,"rel":2883},"https:\u002F\u002Fwww.switchtools.io\u002Ftool\u002Fragaai-inc",[492],[56,2885,2886,2887],{},"SoftwareSuggest — RagaAI Details \u002F Pricing 2026 ",[461,2888,2889],{"href":2889,"rel":2890},"https:\u002F\u002Fwww.softwaresuggest.com\u002Fragaai",[492],[1142,2892,2893],{},"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 .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":508,"searchDepth":509,"depth":509,"links":2895},[2896,2897,2898,2899,2900,2901,2902,2903,2904,2905],{"id":32,"depth":512,"text":33},{"id":2280,"depth":512,"text":2280},{"id":100,"depth":512,"text":100},{"id":2366,"depth":512,"text":2367},{"id":261,"depth":512,"text":261},{"id":2596,"depth":512,"text":2596},{"id":396,"depth":512,"text":396},{"id":431,"depth":512,"text":432},{"id":455,"depth":512,"text":455},{"id":482,"depth":512,"text":482},"\u002Fimg\u002Ftools\u002Fraga.webp","RagaAI Catalyst 真实评测：印度 RagaAI 出品的 AI 测试 + 观测平台（Python SDK + 云端）。300+ 自动化测试覆盖 LLM \u002F RAG \u002F 多 agent，多 agent 系统 tracing + 调试，主打『部署前发现风险减少 90%』。F6S \u002F SoftwareSuggest \u002F SwitchTools 已收录。定价以企业销售为主，社区版 Python SDK 开源。",[2909,2912,2915,2918],{"q":2910,"a":2911},"RagaAI 和 Langfuse \u002F Helicone 怎么选？","RagaAI Catalyst 把『测试』作为一等公民——300+ 自动化测试 + RAG \u002F Agent 风险量化，强调『部署前发现』。Langfuse 是 tracing + eval 双强，Helicone 是 proxy 观测 + gateway。要 agentic 系统的 pre-prod testing + 风险评分 → RagaAI；要日常 LLM trace \u002F 简单 eval → Langfuse；要改 baseURL 看 cost → Helicone。",{"q":2913,"a":2914},"300+ 测试覆盖什么？","覆盖三类系统：(1) LLM 应用——hallucination \u002F toxicity \u002F bias \u002F PII leakage \u002F prompt injection；(2) RAG pipeline——检索准确率 \u002F context precision \u002F answer relevance \u002F faithfulness；(3) Agentic 系统——tool use 正确性 \u002F 多 agent 协作一致性 \u002F 任务完成率 \u002F 安全围栏。",{"q":2916,"a":2917},"Catalyst SDK 怎么用？","pip install ragaai-catalyst → 包装 LangChain \u002F LlamaIndex \u002F 自家 agent 框架 → 自动 trace 每次 LLM \u002F tool \u002F sub-agent 调用 → 上传 Cloud 看仪表盘 \u002F 跑测试。SDK 本身 OSS，Cloud 部分付费。",{"q":2919,"a":2920},"国内能用吗？","Python SDK 自托管 OK。Cloud 服务器在海外，国内延迟 + 合规要评估。中文场景 + 中文文档极弱，prompt \u002F 报告均英文。国内类似定位推荐看 PromptLayer \u002F Helicone OSS 自托管，或自家 LangSmith \u002F Phoenix 组合。",[541],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fraga",[2446,2925,1713],"sdk",[2927,2931,2934],{"plan":2928,"price":1181,"features":2929,"notes":2930},"Catalyst OSS","Python SDK + agent \u002F LLM \u002F tool tracing + 多 agent debug + 部分 eval","github.com\u002Fraga-ai-hub\u002FRagaAI-Catalyst",{"plan":2351,"price":177,"features":2932,"notes":2933},"300+ 自动化测试库 + RAG \u002F LLM \u002F Agentic 全景 + 报告 \u002F 仪表盘 + 协作","联系销售",{"plan":174,"price":177,"features":2935,"notes":2936},"SSO + 私有部署 + 合规 + SLA + 专属支持","大型 \u002F 受监管","Catalyst Python SDK 开源 \u002F Cloud Enterprise 定制",[2939],{"name":2940,"url":2941},"RAG Pipeline 搭建","\u002Fplaybook\u002Fonboarding\u002Frag-pipeline-build",{"power":571,"ux":509,"price":509,"cn_support":815,"stability":572},{"title":2254,"description":2907},"coding\u002Fagent\u002Fraga",[2946,2948,2950,2952],{"name":2947,"url":2868,"accessed":578},"F6S — RagaAI Catalyst 概览",{"name":2949,"url":2875,"accessed":578},"AIIndigo — RagaAI Catalyst 评测 2026",{"name":2951,"url":2882,"accessed":578},"SwitchTools — RagaAI Inc 平台 + 90% 风险下降",{"name":2953,"url":2889,"accessed":578},"SoftwareSuggest — RagaAI Details 2026","tools\u002Fcoding\u002Fagent\u002Fraga","AI agent 测试 + 观测平台——300+ 自动化测试覆盖 LLM\u002FRAG\u002FAgentic，量化『生产风险 -90%』",[2957,2958,2959,2960,2961,1214],"agent-testing","llm-eval","rag-testing","observability","tracing","agentic AI 系统的『生产前测试 + 上线后观测』专项工具。要 300+ 测试库 + 多 agent debug 走 Raga；要简单 LLM trace 用 Langfuse \u002F Helicone；要网关 + 治理用 Portkey。中文 \u002F 国内场景生态弱。","https:\u002F\u002Fraga.ai","uikrADibWuYVD91fdcYfiUl3oUMg_fFs5rTRWBo1ekQ",1782316489323]