[{"data":1,"prerenderedAt":3346},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fcoding\u002Fagent\u002Fopenhands":9,"tool-stats-coding\u002Fagent\u002Fopenhands":592,"cat-rank-coding-agent":595,"tool-related-coding\u002Fagent\u002Fopenhands":3345},{"tools":4,"reviews":5},65,7,{"tools":4,"reviews":5,"playbooks":7,"news":8},10,8,{"id":10,"title":11,"alternatives":12,"api_compatible":25,"body":26,"category":517,"chinese_friendly":518,"cover":519,"description":520,"domestic":521,"extension":522,"faq":523,"free":521,"github":536,"languages":537,"meta":540,"models":25,"navigation":541,"notSuitable":25,"opensource":541,"path":542,"pillar":543,"platforms":544,"priceTable":548,"pricing":557,"published":558,"relatedPlaybooks":559,"relatedReviews":25,"score":566,"self_host":541,"seo":568,"slug":569,"sources":570,"stem":580,"suitable":25,"tagline":581,"tags":582,"updated":573,"verdict":589,"website":590,"__hash__":591},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands.md","OpenHands",[13,16,19,22],{"name":14,"url":15},"devin","\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",{"name":17,"url":18},"aider","\u002Ftools\u002Fcoding\u002Fcli\u002Faider",{"name":20,"url":21},"cline","\u002Ftools\u002Fcoding\u002Fcli\u002Fcline",{"name":23,"url":24},"manus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",null,{"type":27,"value":28,"toc":502},"minimark",[29,34,43,46,49,52,77,80,112,116,172,175,179,184,205,210,230,233,262,265,376,379,419,423,440,443,468,471],[30,31,33],"h2",{"id":32},"tldr","TL;DR",[35,36,37,38,42],"p",{},"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：",[39,40,41],"strong",{},"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。",[35,44,45],{},"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。",[30,47,48],{"id":48},"它是什么",[35,50,51],{},"OpenHands 的核心是「Agent + 工具集」，工具集包括：",[53,54,55,59,62,65,68,71],"ul",{},[56,57,58],"li",{},"文件编辑（多文件 diff\u002Fedit）",[56,60,61],{},"shell command 执行（Docker sandbox 隔离）",[56,63,64],{},"浏览器自动化（点击、表单、截图）",[56,66,67],{},"API 调用 \u002F HTTP 请求",[56,69,70],{},"Git 仓库操作（clone、commit、PR）",[56,72,73,76],{},[39,74,75],{},"MCP 协议","：可挂载任意第三方 tool",[35,78,79],{},"四种使用入口：",[81,82,83,94,100,106],"ol",{},[56,84,85,88,89,93],{},[39,86,87],{},"OSS 自托管","：",[90,91,92],"code",{},"docker run"," 一行起，本地 Web GUI + CLI",[56,95,96,99],{},[39,97,98],{},"Individual Cloud","：openhands.dev 注册免费用，每天 10 会话",[56,101,102,105],{},[39,103,104],{},"Enterprise","：私有云 + 多用户 + RBAC + 集中 billing",[56,107,108,111],{},[39,109,110],{},"Cloud Agent SDK","：把 OpenHands 当 lib 嵌入自家产品",[30,113,115],{"id":114},"价格2026-06","价格（2026-06）",[117,118,119,135],"table",{},[120,121,122],"thead",{},[123,124,125,129,132],"tr",{},[126,127,128],"th",{},"Plan",[126,130,131],{},"价格",[126,133,134],{},"限制",[136,137,138,151,162],"tbody",{},[123,139,140,145,148],{},[141,142,143],"td",{},[39,144,87],{},[141,146,147],{},"$0",[141,149,150],{},"BYOK，单用户，自己付 LLM 费",[123,152,153,157,159],{},[141,154,155],{},[39,156,98],{},[141,158,147],{},[141,160,161],{},"每天 10 会话，BYOK 或 OpenHands at-cost LLM",[123,163,164,166,169],{},[141,165,104],{},[141,167,168],{},"Custom",[141,170,171],{},"多用户、SAML\u002FSSO、专属支持、Slack 频道",[35,173,174],{},"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。",[30,176,178],{"id":177},"实测本地-docker-一周高强度试用","实测（本地 docker 一周高强度试用）",[35,180,181,88],{},[39,182,183],{},"好的地方",[53,185,186,193,196,199,202],{},[56,187,188,189,192],{},"起步快：",[90,190,191],{},"docker run -p 3000:3000 allhandsai\u002Fopenhands"," 三分钟到 Web UI",[56,194,195],{},"中文支持比 Devin 好——社区贡献了不少中文 prompt 案例",[56,197,198],{},"浏览器 use 能力扎实——能去 stackoverflow 搜错误后修代码",[56,200,201],{},"任务可视化：sandbox 里跑的每条命令、改的每个文件都有回放",[56,203,204],{},"BYOK 灵活：白天 Claude Sonnet 4，晚上 DeepSeek R1，省钱",[35,206,207,88],{},[39,208,209],{},"踩坑",[53,211,212,218,221,224,227],{},[56,213,214,217],{},[39,215,216],{},"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",[56,219,220],{},"长任务（>30 分钟）context window 会爆，需要把任务拆小",[56,222,223],{},"Windows 用户必走 WSL2 + Docker Desktop，原生 docker 不稳",[56,225,226],{},"GUI 体验不如 Cursor \u002F Devin 精致——是工程师工具，不是 PM 工具",[56,228,229],{},"沙箱占资源——idle 时也吃 1–2GB 内存",[30,231,232],{"id":232},"上手",[81,234,235,238,243,249,252,255],{},[56,236,237],{},"装 Docker（含 docker-in-docker 支持）",[56,239,240],{},[90,241,242],{},"docker pull docker.all-hands.dev\u002Fall-hands-ai\u002Fopenhands:latest",[56,244,245,246],{},"一行启动（官方推荐命令在 docs），打开 ",[90,247,248],{},"localhost:3000",[56,250,251],{},"选 LLM provider（Anthropic \u002F OpenAI \u002F Ollama \u002F 任意 OpenAI 兼容 endpoint）+ 填 API key",[56,253,254],{},"描述任务（中文 OK），Agent 在 sandbox 里跑给你看",[56,256,257,258,261],{},"进阶：编辑 ",[90,259,260],{},"config.toml"," 加 MCP server，或 fork 仓库改 microagent prompt",[30,263,264],{"id":264},"对比一览",[117,266,267,285],{},[120,268,269],{},[123,270,271,274,276,279,282],{},[126,272,273],{},"维度",[126,275,11],{},[126,277,278],{},"Devin",[126,280,281],{},"Aider",[126,283,284],{},"Manus",[136,286,287,303,316,331,348,361],{},[123,288,289,292,295,298,301],{},[141,290,291],{},"开源",[141,293,294],{},"✅ MIT",[141,296,297],{},"❌",[141,299,300],{},"✅",[141,302,297],{},[123,304,305,308,310,312,314],{},[141,306,307],{},"自托管",[141,309,300],{},[141,311,297],{},[141,313,300],{},[141,315,297],{},[123,317,318,321,323,326,328],{},[141,319,320],{},"起步价",[141,322,147],{},[141,324,325],{},"$20 + ACU",[141,327,147],{},[141,329,330],{},"$39\u002F月",[123,332,333,336,339,342,345],{},[141,334,335],{},"中文",[141,337,338],{},"4\u002F5",[141,340,341],{},"1\u002F5",[141,343,344],{},"3\u002F5",[141,346,347],{},"5\u002F5",[123,349,350,353,355,357,359],{},[141,351,352],{},"Browser use",[141,354,300],{},[141,356,300],{},[141,358,297],{},[141,360,300],{},[123,362,363,366,369,372,374],{},[141,364,365],{},"上手成本",[141,367,368],{},"中（需 Docker）",[141,370,371],{},"低",[141,373,371],{},[141,375,371],{},[30,377,378],{"id":378},"避坑",[53,380,381,387,393,407,413],{},[56,382,383,386],{},[39,384,385],{},"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",[56,388,389,392],{},[39,390,391],{},"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",[56,394,395,398,399,402,403,406],{},[39,396,397],{},"大仓库先 wiki","：让 OpenHands 跑一遍 ",[90,400,401],{},"summarize the repo","，把结果存到 ",[90,404,405],{},"microagents\u002F","，后续任务上下文更准",[56,408,409,412],{},[39,410,411],{},"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",[56,414,415,418],{},[39,416,417],{},"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",[30,420,422],{"id":421},"适合-不适合","适合 \u002F 不适合",[53,424,425,428,431,434,437],{},[56,426,427],{},"✅ 中文 \u002F 国内场景（速度 + 隐私 + 成本三优）",[56,429,430],{},"✅ 合规 \u002F 私有云部署",[56,432,433],{},"✅ 想做企业内部 AI 开发平台的底座",[56,435,436],{},"❌ 不会 Docker \u002F 不愿读 yaml 的 PM \u002F 设计师",[56,438,439],{},"❌ 要 Devin 那种端到端体验（PR \u002F Slack \u002F Wiki 全自动）",[30,441,442],{"id":442},"相关阅读",[53,444,445,452,457,462],{},[56,446,447,451],{},[448,449,450],"a",{"href":15},"Devin 评测","（闭源同类）",[56,453,454],{},[448,455,456],{"href":18},"Aider 评测",[56,458,459],{},[448,460,461],{"href":21},"Cline 评测",[56,463,464,467],{},[448,465,466],{"href":24},"Manus 评测","（国产 Cloud 替代）",[30,469,470],{"id":470},"来源",[81,472,473,481,488,495],{},[56,474,475,476],{},"OpenHands 官方 Pricing ",[448,477,478],{"href":478,"rel":479},"https:\u002F\u002Fwww.openhands.dev\u002Fpricing",[480],"nofollow",[56,482,483,484],{},"AISO Tools — OpenHands Pricing 2026（2026-06-21）",[448,485,486],{"href":486,"rel":487},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fopenhands",[480],[56,489,490,491],{},"AI Tool Finder — OpenHands Review 2026（2026-05-14）",[448,492,493],{"href":493,"rel":494},"https:\u002F\u002Faitoolfinder.org\u002Ftools\u002Fopenhands",[480],[56,496,497,498],{},"OSS-AI-SWE 项目目录 ",[448,499,500],{"href":500,"rel":501},"https:\u002F\u002Foss-ai-swe.org\u002Fopen-hands",[480],{"title":503,"searchDepth":504,"depth":504,"links":505},"",3,[506,508,509,510,511,512,513,514,515,516],{"id":32,"depth":507,"text":33},2,{"id":48,"depth":507,"text":48},{"id":114,"depth":507,"text":115},{"id":177,"depth":507,"text":178},{"id":232,"depth":507,"text":232},{"id":264,"depth":507,"text":264},{"id":378,"depth":507,"text":378},{"id":421,"depth":507,"text":422},{"id":442,"depth":507,"text":442},{"id":470,"depth":507,"text":470},"agent",4,"\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。",false,"md",[524,527,530,533],{"q":525,"a":526},"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":528,"a":529},"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":531,"a":532},"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":534,"a":535},"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",[538,539],"zh","en",{},true,"\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands","coding",[545,546,547],"docker","cloud","cli",[549,552,554],{"plan":87,"price":147,"seats":550,"notes":551},"1","MIT，Docker 起，BYOK，单用户",{"plan":98,"price":147,"seats":550,"notes":553},"每日 10 会话上限，BYOK 或用 OpenHands LLM at-cost",{"plan":104,"price":168,"seats":555,"notes":556},"∞","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","2026-06-19",[560,563],{"name":561,"url":562},"Legacy 代码库 AI Onboarding","\u002Fplaybook\u002Fonboarding\u002Flegacy-codebase-onboarding",{"name":564,"url":565},"AI Agent 概念入门 Wiki","\u002Fwiki\u002Fai-agent",{"power":518,"ux":504,"price":567,"cn_support":518,"stability":504},5,{"title":11,"description":520},"coding\u002Fagent\u002Fopenhands",[571,574,576,578],{"name":572,"url":478,"accessed":573},"OpenHands 官方 pricing","2026-06-24",{"name":575,"url":486,"accessed":573},"AISO Tools — OpenHands Pricing 2026",{"name":577,"url":493,"accessed":573},"AI Tool Finder — OpenHands Review 2026",{"name":579,"url":500,"accessed":573},"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）",[517,583,584,585,586,587,588],"autonomous","opensource","mit","sandbox","mcp","byok","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",{"ok":541,"slug":593,"viewCount":594,"clickCount":594,"avgRating":594,"ratingCount":594},"coding%2Fagent%2Fopenhands",0,[596,1121,1735,2255,2632],{"id":597,"title":598,"alternatives":599,"api_compatible":25,"body":611,"category":517,"chinese_friendly":507,"cover":1061,"description":1062,"domestic":521,"extension":522,"faq":1063,"free":521,"github":25,"languages":1076,"meta":1077,"models":25,"navigation":541,"notSuitable":25,"opensource":521,"path":1078,"pillar":543,"platforms":1079,"priceTable":1082,"pricing":1093,"published":558,"relatedPlaybooks":1094,"relatedReviews":25,"score":1101,"self_host":521,"seo":1102,"slug":1103,"sources":1104,"stem":1111,"suitable":25,"tagline":1112,"tags":1113,"updated":573,"verdict":1118,"website":1119,"__hash__":1120},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md","Augment Code",[600,603,606,609],{"name":601,"url":602},"github-copilot","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot",{"name":604,"url":605},"cursor","\u002Ftools\u002Fcoding\u002Fide\u002Fcursor",{"name":607,"url":608},"claude-code","\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code",{"name":610,"url":602},"tabnine",{"type":27,"value":612,"toc":1049},[613,615,622,625,627,630,650,657,659,748,754,771,774,778,783,797,801,818,820,844,846,945,947,979,981,1001,1003,1024,1026],[30,614,33],{"id":32},[35,616,617,618,621],{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[39,619,620],{},"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。",[35,623,624],{},"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）。",[30,626,48],{"id":48},[35,628,629],{},"Augment 把 AI 编程产品拆成三件套：",[81,631,632,638,644],{},[56,633,634,637],{},[39,635,636],{},"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。",[56,639,640,643],{},[39,641,642],{},"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。",[56,645,646,649],{},[39,647,648],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[35,651,652,653,656],{},"底层 LLM 走 ",[39,654,655],{},"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%。",[30,658,115],{"id":114},[117,660,661,678],{},[120,662,663],{},[123,664,665,667,669,672,675],{},[126,666,128],{},[126,668,131],{},[126,670,671],{},"Credits",[126,673,674],{},"团队规模",[126,676,677],{},"适用",[136,679,680,698,717,735],{},[123,681,682,687,690,693,695],{},[141,683,684],{},[39,685,686],{},"Indie",[141,688,689],{},"$20\u002F月",[141,691,692],{},"40k",[141,694,550],{},[141,696,697],{},"个人开发者",[123,699,700,705,708,711,714],{},[141,701,702],{},[39,703,704],{},"Standard",[141,706,707],{},"$60\u002F席\u002F月",[141,709,710],{},"130k\u002F席（池化）",[141,712,713],{},"≤20",[141,715,716],{},"中小生产团队",[123,718,719,724,727,730,732],{},[141,720,721],{},[39,722,723],{},"Max",[141,725,726],{},"$200\u002F席\u002F月",[141,728,729],{},"450k\u002F席（池化）",[141,731,713],{},[141,733,734],{},"重度 + 异步任务多",[123,736,737,739,741,743,745],{},[141,738,104],{},[141,740,168],{},[141,742,168],{},[141,744,555],{},[141,746,747],{},"大型企业",[35,749,750,753],{},[39,751,752],{},"credits 单价","（一次中等任务）：",[53,755,756,759,762,765,768],{},[56,757,758],{},"Haiku 4.5：~88 credits",[56,760,761],{},"Sonnet 4.6：~293 credits",[56,763,764],{},"Opus 4.7：~488 credits",[56,766,767],{},"Gemini 3.1 Pro：~268 credits",[56,769,770],{},"GPT-5.1：~219 credits",[35,772,773],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[30,775,777],{"id":776},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[35,779,780,88],{},[39,781,782],{},"亮点",[53,784,785,788,791,794],{},[56,786,787],{},"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",[56,789,790],{},"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",[56,792,793],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[56,795,796],{},"SOC 2 Type II 合规对企业采购友好",[35,798,799,88],{},[39,800,209],{},[53,802,803,806,809,812,815],{},[56,804,805],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[56,807,808],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[56,810,811],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[56,813,814],{},"国内访问偶发抖动（CDN 美国）",[56,816,817],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[30,819,232],{"id":232},[81,821,822,825,828,831,834,837],{},[56,823,824],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[56,826,827],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[56,829,830],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[56,832,833],{},"等首次索引（10 分钟–1 小时取决于规模）",[56,835,836],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[56,838,839,840,843],{},"进阶：装 Auggie CLI（",[90,841,842],{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[30,845,264],{"id":264},[117,847,848,866],{},[120,849,850],{},[123,851,852,854,857,860,863],{},[126,853,273],{},[126,855,856],{},"Augment",[126,858,859],{},"Cursor",[126,861,862],{},"Copilot Enterprise",[126,864,865],{},"Claude Code",[136,867,868,885,902,916,932],{},[123,869,870,873,876,879,882],{},[141,871,872],{},"Context 覆盖",[141,874,875],{},"整个 monorepo + 跨仓",[141,877,878],{},"单仓库 + 文件 @",[141,880,881],{},"单仓库 + indexing",[141,883,884],{},"单仓 + 上下文",[123,886,887,890,893,896,899],{},[141,888,889],{},"起步价（团队）",[141,891,892],{},"$60\u002F席",[141,894,895],{},"$40\u002F席（Business）",[141,897,898],{},"$39\u002F席",[141,900,901],{},"$20\u002F账号",[123,903,904,907,909,912,914],{},[141,905,906],{},"Async cloud agent",[141,908,300],{},[141,910,911],{},"部分",[141,913,297],{},[141,915,297],{},[123,917,918,921,924,927,930],{},[141,919,920],{},"合规",[141,922,923],{},"SOC 2 II ✅",[141,925,926],{},"SOC 2 ✅",[141,928,929],{},"SOC 2 + GDPR ✅",[141,931,926],{},[123,933,934,936,939,941,943],{},[141,935,335],{},[141,937,938],{},"2\u002F5",[141,940,344],{},[141,942,344],{},[141,944,344],{},[30,946,378],{"id":378},[53,948,949,955,961,967,973],{},[56,950,951,954],{},[39,952,953],{},"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",[56,956,957,960],{},[39,958,959],{},"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",[56,962,963,966],{},[39,964,965],{},"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",[56,968,969,972],{},[39,970,971],{},"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",[56,974,975,978],{},[39,976,977],{},"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",[30,980,422],{"id":421},[53,982,983,986,989,992,995,998],{},[56,984,985],{},"✅ 海外大型工程团队、monorepo > 30 万行",[56,987,988],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[56,990,991],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[56,993,994],{},"❌ 个人开发者 \u002F 创业初期小项目",[56,996,997],{},"❌ 主语言为中文的国内团队",[56,999,1000],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[30,1002,442],{"id":442},[53,1004,1005,1010,1015,1020],{},[56,1006,1007],{},[448,1008,1009],{"href":602},"GitHub Copilot 评测",[56,1011,1012],{},[448,1013,1014],{"href":605},"Cursor 评测",[56,1016,1017],{},[448,1018,1019],{"href":608},"Claude Code 评测",[56,1021,1022],{},[448,1023,461],{"href":21},[30,1025,470],{"id":470},[81,1027,1028,1035,1042],{},[56,1029,1030,1031],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[448,1032,1033],{"href":1033,"rel":1034},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[480],[56,1036,1037,1038],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[448,1039,1040],{"href":1040,"rel":1041},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[480],[56,1043,1044,1045],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[448,1046,1047],{"href":1047,"rel":1048},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[480],{"title":503,"searchDepth":504,"depth":504,"links":1050},[1051,1052,1053,1054,1055,1056,1057,1058,1059,1060],{"id":32,"depth":507,"text":33},{"id":48,"depth":507,"text":48},{"id":114,"depth":507,"text":115},{"id":776,"depth":507,"text":777},{"id":232,"depth":507,"text":232},{"id":264,"depth":507,"text":264},{"id":378,"depth":507,"text":378},{"id":421,"depth":507,"text":422},{"id":442,"depth":507,"text":442},{"id":470,"depth":507,"text":470},"\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。",[1064,1067,1070,1073],{"q":1065,"a":1066},"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":1068,"a":1069},"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":1071,"a":1072},"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":1074,"a":1075},"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。",[539],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment",[1080,1081,547],"vscode","jetbrains",[1083,1085,1088,1091],{"plan":686,"price":689,"seats":550,"credits":692,"notes":1084},"解决方案给个人开发者，每月 40K credits 池",{"plan":704,"price":707,"seats":713,"credits":1086,"notes":1087},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":723,"price":726,"seats":713,"credits":1089,"notes":1090},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":104,"price":168,"seats":555,"credits":168,"notes":1092},"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",[1095,1098],{"name":1096,"url":1097},"大型重构 + AI Agent 实战","\u002Fplaybook\u002Frefactor\u002Flarge-refactor-with-ai-agent",{"name":1099,"url":1100},"Context Engineering Wiki","\u002Fwiki\u002Fcontext-engineering",{"power":567,"ux":518,"price":507,"cn_support":507,"stability":518},{"title":598,"description":1062},"coding\u002Fagent\u002Faugment",[1105,1107,1109],{"name":1106,"url":1033,"accessed":573},"AgentDeals — Augment Code Pricing 2026",{"name":1108,"url":1040,"accessed":573},"CheckThat.ai — Augment Code Pricing & TCO",{"name":1110,"url":1047,"accessed":573},"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",[1114,1115,1116,517,547,1117],"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":1122,"title":1123,"alternatives":1124,"api_compatible":25,"body":1131,"category":517,"chinese_friendly":518,"cover":1677,"description":1678,"domestic":521,"extension":522,"faq":1679,"free":521,"github":1692,"languages":1693,"meta":1694,"models":25,"navigation":541,"notSuitable":25,"opensource":541,"path":1695,"pillar":543,"platforms":1696,"priceTable":1697,"pricing":1710,"published":558,"relatedPlaybooks":1711,"relatedReviews":25,"score":1718,"self_host":541,"seo":1719,"slug":1720,"sources":1721,"stem":1728,"suitable":25,"tagline":1729,"tags":1730,"updated":573,"verdict":1732,"website":1733,"__hash__":1734},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue.md","Continue.dev",[1125,1126,1127,1128],{"name":604,"url":605},{"name":20,"url":21},{"name":17,"url":18},{"name":1129,"url":1130},"roo-code","\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code",{"type":27,"value":1132,"toc":1665},[1133,1135,1138,1149,1151,1154,1188,1195,1199,1261,1264,1267,1271,1292,1296,1313,1315,1449,1451,1560,1562,1596,1598,1615,1617,1636,1638,1661],[30,1134,33],{"id":32},[35,1136,1137],{},"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。",[35,1139,1140,1141,1144,1145,1148],{},"2026 年的剧情转折：",[39,1142,1143],{},"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。",[39,1146,1147],{},"短期内开源版仍是 BYOK \u002F 自托管的最佳选择","。",[30,1150,48],{"id":48},[35,1152,1153],{},"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：",[53,1155,1156,1162,1168,1182],{},[56,1157,1158,1161],{},[39,1159,1160],{},"Autocomplete","：行内 ghost text 补全（轻量模型如 DeepSeek Coder、Qwen Coder）",[56,1163,1164,1167],{},[39,1165,1166],{},"Edit","：选中代码 → 自然语言指令 → 替换",[56,1169,1170,1173,1174,1177,1178,1181],{},[39,1171,1172],{},"Chat","：侧边栏对话，带 ",[90,1175,1176],{},"@file"," \u002F ",[90,1179,1180],{},"@codebase"," 上下文",[56,1183,1184,1187],{},[39,1185,1186],{},"Agent","：通过 MCP 连外部工具，能跑命令 \u002F 读 DB \u002F 调 API",[35,1189,1190,1191,1194],{},"最大卖点是",[39,1192,1193],{},"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。",[30,1196,1198],{"id":1197},"价格2026-年-6-月","价格（2026 年 6 月）",[117,1200,1201,1214],{},[120,1202,1203],{},[123,1204,1205,1208,1211],{},[126,1206,1207],{},"路径",[126,1209,1210],{},"成本",[126,1212,1213],{},"适合",[136,1215,1216,1229,1240,1251],{},[123,1217,1218,1223,1226],{},[141,1219,1220],{},[39,1221,1222],{},"OSS + BYOK 自托管",[141,1224,1225],{},"$0 + LLM API 自付",[141,1227,1228],{},"个人、隐私敏感、合规场景",[123,1230,1231,1234,1237],{},[141,1232,1233],{},"Hub Starter",[141,1235,1236],{},"$3 \u002F M tokens（PAYG）",[141,1238,1239],{},"不想自己管 key 的轻度用户",[123,1241,1242,1245,1248],{},[141,1243,1244],{},"Hub Team",[141,1246,1247],{},"$20\u002F席\u002F月（含 $10 credits）",[141,1249,1250],{},"小团队、需私有 agent",[123,1252,1253,1256,1258],{},[141,1254,1255],{},"Hub Company",[141,1257,168],{},[141,1259,1260],{},"企业、BYOK + SSO",[35,1262,1263],{},"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。",[30,1265,1266],{"id":1266},"实测",[35,1268,1269,88],{},[39,1270,183],{},[53,1272,1273,1276,1279,1282,1289],{},[56,1274,1275],{},"BYOK 灵活：白天用 Claude 3.5 干活、晚上切 DeepSeek 省钱、Sensitive 项目走 Ollama 本地",[56,1277,1278],{},"VS Code \u002F JetBrains 原生扩展，不用换 IDE",[56,1280,1281],{},"MCP agent 模式可定制——接自家内部 API 当 tool",[56,1283,1284,1285,1288],{},"配置走 ",[90,1286,1287],{},"config.json","，纯文本 + 可 git 管理 \u002F 团队共享",[56,1290,1291],{},"国内可直连 DeepSeek \u002F 通义 \u002F Kimi \u002F GLM endpoint，无墙",[35,1293,1294,88],{},[39,1295,209],{},[53,1297,1298,1301,1304,1307,1310],{},[56,1299,1300],{},"默认配置门槛：BYOK 第一次配 5+ 个字段（model \u002F provider \u002F api_base \u002F context length）",[56,1302,1303],{},"Autocomplete 延迟比 Cursor 高（取决于你选的模型 \u002F endpoint 距离）",[56,1305,1306],{},"被 Cursor 收购后，新功能节奏明显放缓",[56,1308,1309],{},"Agent 模式（MCP）配置文档零散，需要踩坑",[56,1311,1312],{},"嵌入式 Web preview \u002F 内置 diff UI 不如 Cursor 精致",[30,1314,232],{"id":232},[81,1316,1317,1320,1426,1433,1446],{},[56,1318,1319],{},"VS Code → 装 \"Continue\" 扩展（或 JetBrains plugin）",[56,1321,1322,1323,1326,1327],{},"编辑 ",[90,1324,1325],{},"~\u002F.continue\u002Fconfig.json"," 配 model：\n",[1328,1329,1333],"pre",{"className":1330,"code":1331,"language":1332,"meta":503,"style":503},"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",[90,1334,1335,1344,1353,1368,1380,1392,1405,1415,1420],{"__ignoreMap":503},[1336,1337,1340],"span",{"class":1338,"line":1339},"line",1,[1336,1341,1343],{"class":1342},"sVt8B","{\n",[1336,1345,1346,1350],{"class":1338,"line":507},[1336,1347,1349],{"class":1348},"sj4cs","  \"models\"",[1336,1351,1352],{"class":1342},": [{\n",[1336,1354,1355,1358,1361,1365],{"class":1338,"line":504},[1336,1356,1357],{"class":1348},"    \"title\"",[1336,1359,1360],{"class":1342},": ",[1336,1362,1364],{"class":1363},"sZZnC","\"DeepSeek V3\"",[1336,1366,1367],{"class":1342},",\n",[1336,1369,1370,1373,1375,1378],{"class":1338,"line":518},[1336,1371,1372],{"class":1348},"    \"provider\"",[1336,1374,1360],{"class":1342},[1336,1376,1377],{"class":1363},"\"openai\"",[1336,1379,1367],{"class":1342},[1336,1381,1382,1385,1387,1390],{"class":1338,"line":567},[1336,1383,1384],{"class":1348},"    \"model\"",[1336,1386,1360],{"class":1342},[1336,1388,1389],{"class":1363},"\"deepseek-chat\"",[1336,1391,1367],{"class":1342},[1336,1393,1395,1398,1400,1403],{"class":1338,"line":1394},6,[1336,1396,1397],{"class":1348},"    \"apiBase\"",[1336,1399,1360],{"class":1342},[1336,1401,1402],{"class":1363},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[1336,1404,1367],{"class":1342},[1336,1406,1407,1410,1412],{"class":1338,"line":5},[1336,1408,1409],{"class":1348},"    \"apiKey\"",[1336,1411,1360],{"class":1342},[1336,1413,1414],{"class":1363},"\"sk-xxx\"\n",[1336,1416,1417],{"class":1338,"line":8},[1336,1418,1419],{"class":1342},"  }]\n",[1336,1421,1423],{"class":1338,"line":1422},9,[1336,1424,1425],{"class":1342},"}\n",[56,1427,1428,1429,1432],{},"配 ",[90,1430,1431],{},"tabAutocompleteModel","（推荐 DeepSeek Coder 或 Qwen Coder）",[56,1434,1435,1438,1439,1442,1443,1445],{},[90,1436,1437],{},"Ctrl+I"," Edit、",[90,1440,1441],{},"Ctrl+L"," Chat、",[90,1444,1180],{}," 全库检索",[56,1447,1448],{},"进阶：装 MCP server（filesystem、postgres、github）让 Agent 用",[30,1450,264],{"id":264},[117,1452,1453,1469],{},[120,1454,1455],{},[123,1456,1457,1459,1462,1464,1467],{},[126,1458,273],{},[126,1460,1461],{},"Continue",[126,1463,859],{},[126,1465,1466],{},"Cline",[126,1468,281],{},[136,1470,1471,1488,1501,1515,1532,1547],{},[123,1472,1473,1476,1479,1482,1485],{},[141,1474,1475],{},"形态",[141,1477,1478],{},"VS Code\u002FJB 扩展",[141,1480,1481],{},"IDE fork",[141,1483,1484],{},"VS Code 扩展",[141,1486,1487],{},"CLI",[123,1489,1490,1492,1495,1497,1499],{},[141,1491,291],{},[141,1493,1494],{},"Apache 2.0 ✅",[141,1496,297],{},[141,1498,1494],{},[141,1500,300],{},[123,1502,1503,1506,1509,1511,1513],{},[141,1504,1505],{},"BYOK",[141,1507,1508],{},"任意模型",[141,1510,911],{},[141,1512,1508],{},[141,1514,1508],{},[123,1516,1517,1520,1523,1526,1529],{},[141,1518,1519],{},"主要模式",[141,1521,1522],{},"Autocomplete + Chat + Agent",[141,1524,1525],{},"全套",[141,1527,1528],{},"Agent 为主",[141,1530,1531],{},"CLI Edit",[123,1533,1534,1537,1540,1543,1545],{},[141,1535,1536],{},"月成本",[141,1538,1539],{},"$0 + API",[141,1541,1542],{},"$20+",[141,1544,1539],{},[141,1546,1539],{},[123,1548,1549,1552,1554,1556,1558],{},[141,1550,1551],{},"中文友好",[141,1553,338],{},[141,1555,344],{},[141,1557,338],{},[141,1559,344],{},[30,1561,378],{"id":378},[53,1563,1564,1570,1576,1584,1590],{},[56,1565,1566,1569],{},[39,1567,1568],{},"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",[56,1571,1572,1575],{},[39,1573,1574],{},"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",[56,1577,1578,1583],{},[39,1579,1580,1582],{},[90,1581,1180],{}," 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",[56,1585,1586,1589],{},[39,1587,1588],{},"MCP server 慎装","：第三方 MCP 等于给 LLM 一把 shell 钥匙，先看代码再启用",[56,1591,1592,1595],{},[39,1593,1594],{},"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」",[30,1597,422],{"id":421},[53,1599,1600,1603,1606,1609,1612],{},[56,1601,1602],{},"✅ 想要 Cursor 体验但坚持开源 \u002F BYOK 的开发者",[56,1604,1605],{},"✅ 合规 \u002F 隐私敏感场景（本地 Ollama 推理）",[56,1607,1608],{},"✅ 国内开发者（直连 DeepSeek \u002F 通义不被墙）",[56,1610,1611],{},"❌ 嫌配置麻烦、想开箱即用 → 选 Cursor",[56,1613,1614],{},"❌ 需要完整 IDE 体验（多窗口、文件树、Composer 全套）→ 选 Cursor",[30,1616,442],{"id":442},[53,1618,1619,1623,1627,1631],{},[56,1620,1621],{},[448,1622,1014],{"href":605},[56,1624,1625],{},[448,1626,461],{"href":21},[56,1628,1629],{},[448,1630,456],{"href":18},[56,1632,1633],{},[448,1634,1635],{"href":1130},"Roo Code 评测",[30,1637,470],{"id":470},[81,1639,1640,1647,1654],{},[56,1641,1642,1643],{},"Continue.dev 官方 pricing 页（含 Cursor 收购公告）",[448,1644,1645],{"href":1645,"rel":1646},"https:\u002F\u002Fwww.continue.dev\u002Fpricing",[480],[56,1648,1649,1650],{},"Milestone — Continue.dev features & pricing（2026-04-21）",[448,1651,1652],{"href":1652,"rel":1653},"https:\u002F\u002Fmstone.ai\u002Ftools-wizard\u002Fcontinue-dev-features-pricing",[480],[56,1655,1656,1657],{},"AIProductivity — Continue Pricing 2026 ",[448,1658,1659],{"href":1659,"rel":1660},"https:\u002F\u002Faiproductivity.ai\u002Fpricing\u002Fcontinue\u002F",[480],[1662,1663,1664],"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":503,"searchDepth":504,"depth":504,"links":1666},[1667,1668,1669,1670,1671,1672,1673,1674,1675,1676],{"id":32,"depth":507,"text":33},{"id":48,"depth":507,"text":48},{"id":1197,"depth":507,"text":1198},{"id":1266,"depth":507,"text":1266},{"id":232,"depth":507,"text":232},{"id":264,"depth":507,"text":264},{"id":378,"depth":507,"text":378},{"id":421,"depth":507,"text":422},{"id":442,"depth":507,"text":442},{"id":470,"depth":507,"text":470},"\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。",[1680,1683,1686,1689],{"q":1681,"a":1682},"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":1684,"a":1685},"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":1687,"a":1688},"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":1690,"a":1691},"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",[538,539],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue",[1080,1081,547],[1698,1701,1704,1708],{"plan":87,"price":147,"seats":1699,"notes":1700},"—","BYOK，自付 LLM API 费，Apache 2.0",{"plan":1233,"price":1702,"seats":550,"notes":1703},"$3\u002FM tokens","PAYG，托管模型 + 共享 agent",{"plan":1244,"price":1705,"seats":1706,"notes":1707},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":1255,"price":168,"seats":1699,"notes":1709},"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",[1712,1715],{"name":1713,"url":1714},"Cursor MCP 数据库集成","\u002Fplaybook\u002Fonboarding\u002Fcursor-mcp-database",{"name":1716,"url":1717},"MCP 协议入门 Wiki","\u002Fwiki\u002Fmcp",{"power":518,"ux":518,"price":567,"cn_support":518,"stability":518},{"title":1123,"description":1678},"coding\u002Fagent\u002Fcontinue",[1722,1724,1726],{"name":1723,"url":1645,"accessed":573},"Continue.dev 官方 pricing 页（收购公告）",{"name":1725,"url":1652,"accessed":573},"Milestone — Continue.dev features & pricing",{"name":1727,"url":1659,"accessed":573},"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",[584,588,1080,1081,517,1731],"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":1736,"title":278,"alternatives":1737,"api_compatible":25,"body":1742,"category":517,"chinese_friendly":507,"cover":2199,"description":2200,"domestic":521,"extension":522,"faq":2201,"free":521,"github":25,"languages":2214,"meta":2215,"models":25,"navigation":541,"notSuitable":25,"opensource":521,"path":15,"pillar":543,"platforms":2216,"priceTable":2218,"pricing":2229,"published":558,"relatedPlaybooks":2230,"relatedReviews":25,"score":2235,"self_host":521,"seo":2236,"slug":2237,"sources":2238,"stem":2247,"suitable":25,"tagline":2248,"tags":2249,"updated":573,"verdict":2252,"website":2253,"__hash__":2254},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin.md",[1738,1740,1741],{"name":1739,"url":542},"openhands",{"name":23,"url":24},{"name":607,"url":608},{"type":27,"value":1743,"toc":2187},[1744,1746,1749,1752,1754,1757,1781,1784,1788,1793,1863,1868,1922,1925,1927,1931,1945,1949,1966,1968,1985,1987,2083,2085,2116,2118,2135,2137,2155,2157],[30,1745,33],{"id":32},[35,1747,1748],{},"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。",[35,1750,1751],{},"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。",[30,1753,48],{"id":48},[35,1755,1756],{},"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：",[81,1758,1759,1766,1772,1775,1778],{},[56,1760,1761,1762,1765],{},"进 sandbox、",[90,1763,1764],{},"git clone"," 仓库、看 README、构建 Devin Wiki",[56,1767,1768,1771],{},[39,1769,1770],{},"Interactive Planning","：跟你确认实现方案",[56,1773,1774],{},"写代码、跑测试、调浏览器看结果",[56,1776,1777],{},"失败自己排查、改、再试（带 citations 引用代码行）",[56,1779,1780],{},"提 PR、回 Slack「搞定」",[35,1782,1783],{},"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。",[30,1785,1787],{"id":1786},"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）",[35,1789,1790],{},[39,1791,1792],{},"Cloud Devin（按 ACU 计费）",[117,1794,1795,1813],{},[120,1796,1797],{},[123,1798,1799,1801,1804,1807,1810],{},[126,1800,128],{},[126,1802,1803],{},"月费",[126,1805,1806],{},"ACU 价",[126,1808,1809],{},"并发",[126,1811,1812],{},"关键能力",[136,1814,1815,1834,1850],{},[123,1816,1817,1822,1825,1828,1831],{},[141,1818,1819],{},[39,1820,1821],{},"Core",[141,1823,1824],{},"$20 起步（PAYG）",[141,1826,1827],{},"$2.25\u002FACU",[141,1829,1830],{},"10",[141,1832,1833],{},"Devin IDE、Ask Devin、Wiki",[123,1835,1836,1839,1842,1845,1847],{},[141,1837,1838],{},"Team",[141,1840,1841],{},"$500 含 250 ACU",[141,1843,1844],{},"$2\u002FACU（含内）",[141,1846,555],{},[141,1848,1849],{},"API、专属 Slack 频道、early access",[123,1851,1852,1854,1856,1858,1860],{},[141,1853,104],{},[141,1855,168],{},[141,1857,168],{},[141,1859,555],{},[141,1861,1862],{},"VPC、SSO、Custom Devins",[35,1864,1865],{},[39,1866,1867],{},"Devin Desktop（2026-06 Windsurf 改名后）",[117,1869,1870,1880],{},[120,1871,1872],{},[123,1873,1874,1876,1878],{},[126,1875,128],{},[126,1877,131],{},[126,1879,677],{},[136,1881,1882,1892,1901,1911],{},[123,1883,1884,1887,1889],{},[141,1885,1886],{},"Free",[141,1888,147],{},[141,1890,1891],{},"轻量配额",[123,1893,1894,1897,1899],{},[141,1895,1896],{},"Pro",[141,1898,689],{},[141,1900,697],{},[123,1902,1903,1905,1908],{},[141,1904,723],{},[141,1906,1907],{},"$200\u002F月",[141,1909,1910],{},"重度用户",[123,1912,1913,1916,1919],{},[141,1914,1915],{},"Teams",[141,1917,1918],{},"$80\u002F月 + $40\u002F席",[141,1920,1921],{},"团队",[35,1923,1924],{},"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。",[30,1926,1266],{"id":1266},[35,1928,1929,88],{},[39,1930,183],{},[53,1932,1933,1936,1939,1942],{},[56,1934,1935],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[56,1937,1938],{},"Devin Wiki 自动生成的代码库地图很有用",[56,1940,1941],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[56,1943,1944],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[35,1946,1947,88],{},[39,1948,209],{},[53,1950,1951,1954,1957,1960,1963],{},[56,1952,1953],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[56,1955,1956],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[56,1958,1959],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[56,1961,1962],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[56,1964,1965],{},"Free trial 没有，最低要先付 $20 才能试",[30,1967,232],{"id":232},[81,1969,1970,1973,1976,1979,1982],{},[56,1971,1972],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[56,1974,1975],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[56,1977,1978],{},"给一个 issue + 验收标准（越具体越省 ACU）",[56,1980,1981],{},"Interactive Planning：审一遍方案",[56,1983,1984],{},"Devin 自动跑、PR 自动开、等 review",[30,1986,264],{"id":264},[117,1988,1989,2003],{},[120,1990,1991],{},[123,1992,1993,1995,1997,1999,2001],{},[126,1994,273],{},[126,1996,278],{},[126,1998,11],{},[126,2000,284],{},[126,2002,865],{},[136,2004,2005,2022,2036,2051,2067],{},[123,2006,2007,2010,2013,2016,2019],{},[141,2008,2009],{},"模式",[141,2011,2012],{},"异步 Cloud Agent",[141,2014,2015],{},"自托管 \u002F Cloud",[141,2017,2018],{},"异步 Cloud",[141,2020,2021],{},"同步 CLI",[123,2023,2024,2026,2028,2031,2033],{},[141,2025,320],{},[141,2027,325],{},[141,2029,2030],{},"免费（开源）",[141,2032,330],{},[141,2034,2035],{},"Pro $20\u002F月",[123,2037,2038,2040,2043,2046,2049],{},[141,2039,1809],{},[141,2041,2042],{},"10–∞",[141,2044,2045],{},"自托管无限",[141,2047,2048],{},"5+",[141,2050,550],{},[123,2052,2053,2055,2058,2061,2064],{},[141,2054,335],{},[141,2056,2057],{},"弱",[141,2059,2060],{},"强（社区维护）",[141,2062,2063],{},"强（国产）",[141,2065,2066],{},"中",[123,2068,2069,2072,2075,2078,2080],{},[141,2070,2071],{},"沙箱",[141,2073,2074],{},"内置云端",[141,2076,2077],{},"Docker \u002F Cloud",[141,2079,2074],{},[141,2081,2082],{},"本地",[30,2084,378],{"id":378},[53,2086,2087,2093,2099,2105,2111],{},[56,2088,2089,2092],{},[39,2090,2091],{},"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」",[56,2094,2095,2098],{},[39,2096,2097],{},"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",[56,2100,2101,2104],{},[39,2102,2103],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[56,2106,2107,2110],{},[39,2108,2109],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[56,2112,2113,2115],{},[39,2114,971],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[30,2117,422],{"id":421},[53,2119,2120,2123,2126,2129,2132],{},[56,2121,2122],{},"✅ 海外团队、英文项目、批量化的中小 task",[56,2124,2125],{},"✅ 想做「夜跑 agent」流水线的工程团队",[56,2127,2128],{},"❌ 中文项目、国内个人开发者",[56,2130,2131],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[56,2133,2134],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[30,2136,442],{"id":442},[53,2138,2139,2145,2150],{},[56,2140,2141,2144],{},[448,2142,2143],{"href":542},"OpenHands 评测","（Devin 的开源平替）",[56,2146,2147,2149],{},[448,2148,466],{"href":24},"（国产 cloud agent）",[56,2151,2152,2154],{},[448,2153,1019],{"href":608},"（同步替代方案）",[30,2156,470],{"id":470},[81,2158,2159,2166,2173,2180],{},[56,2160,2161,2162],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[448,2163,2164],{"href":2164,"rel":2165},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[480],[56,2167,2168,2169],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[448,2170,2171],{"href":2171,"rel":2172},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[480],[56,2174,2175,2176],{},"eesel — Cognition AI Pricing Explained ",[448,2177,2178],{"href":2178,"rel":2179},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[480],[56,2181,2182,2183],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[448,2184,2185],{"href":2185,"rel":2186},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[480],{"title":503,"searchDepth":504,"depth":504,"links":2188},[2189,2190,2191,2192,2193,2194,2195,2196,2197,2198],{"id":32,"depth":507,"text":33},{"id":48,"depth":507,"text":48},{"id":1786,"depth":507,"text":1787},{"id":1266,"depth":507,"text":1266},{"id":232,"depth":507,"text":232},{"id":264,"depth":507,"text":264},{"id":378,"depth":507,"text":378},{"id":421,"depth":507,"text":422},{"id":442,"depth":507,"text":442},{"id":470,"depth":507,"text":470},"\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。",[2202,2205,2208,2211],{"q":2203,"a":2204},"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":2206,"a":2207},"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":2209,"a":2210},"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":2212,"a":2213},"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。",[539],{},[546,2217],"desktop",[2219,2223,2227],{"plan":2220,"price":2221,"seats":550,"notes":2222},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":1838,"price":2224,"seats":2225,"notes":2226},"$500\u002F月","≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":104,"price":168,"seats":1699,"notes":2228},"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",[2231,2234],{"name":2232,"url":2233},"AI PR Review Pipeline","\u002Fplaybook\u002Freview\u002Fai-pr-review-pipeline",{"name":564,"url":565},{"power":567,"ux":518,"price":507,"cn_support":507,"stability":518},{"title":278,"description":2200},"coding\u002Fagent\u002Fdevin",[2239,2241,2243,2245],{"name":2240,"url":2164,"accessed":573},"SiliconAngle — Devin 2.0 launch",{"name":2242,"url":2171,"accessed":573},"CostBench — Devin AI Pricing 2026",{"name":2244,"url":2178,"accessed":573},"eesel — Cognition AI Pricing",{"name":2246,"url":2185,"accessed":573},"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",[517,583,546,2250,2251],"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":10,"title":11,"alternatives":2256,"api_compatible":25,"body":2261,"category":517,"chinese_friendly":518,"cover":519,"description":520,"domestic":521,"extension":522,"faq":2609,"free":521,"github":536,"languages":2614,"meta":2615,"models":25,"navigation":541,"notSuitable":25,"opensource":541,"path":542,"pillar":543,"platforms":2616,"priceTable":2617,"pricing":557,"published":558,"relatedPlaybooks":2621,"relatedReviews":25,"score":2624,"self_host":541,"seo":2625,"slug":569,"sources":2626,"stem":580,"suitable":25,"tagline":581,"tags":2631,"updated":573,"verdict":589,"website":590,"__hash__":591},[2257,2258,2259,2260],{"name":14,"url":15},{"name":17,"url":18},{"name":20,"url":21},{"name":23,"url":24},{"type":27,"value":2262,"toc":2597},[2263,2265,2269,2271,2273,2275,2291,2293,2313,2315,2357,2359,2361,2365,2379,2383,2397,2399,2419,2421,2511,2513,2539,2541,2553,2555,2573,2575],[30,2264,33],{"id":32},[35,2266,37,2267,42],{},[39,2268,41],{},[35,2270,45],{},[30,2272,48],{"id":48},[35,2274,51],{},[53,2276,2277,2279,2281,2283,2285,2287],{},[56,2278,58],{},[56,2280,61],{},[56,2282,64],{},[56,2284,67],{},[56,2286,70],{},[56,2288,2289,76],{},[39,2290,75],{},[35,2292,79],{},[81,2294,2295,2301,2305,2309],{},[56,2296,2297,88,2299,93],{},[39,2298,87],{},[90,2300,92],{},[56,2302,2303,99],{},[39,2304,98],{},[56,2306,2307,105],{},[39,2308,104],{},[56,2310,2311,111],{},[39,2312,110],{},[30,2314,115],{"id":114},[117,2316,2317,2327],{},[120,2318,2319],{},[123,2320,2321,2323,2325],{},[126,2322,128],{},[126,2324,131],{},[126,2326,134],{},[136,2328,2329,2339,2349],{},[123,2330,2331,2335,2337],{},[141,2332,2333],{},[39,2334,87],{},[141,2336,147],{},[141,2338,150],{},[123,2340,2341,2345,2347],{},[141,2342,2343],{},[39,2344,98],{},[141,2346,147],{},[141,2348,161],{},[123,2350,2351,2353,2355],{},[141,2352,104],{},[141,2354,168],{},[141,2356,171],{},[35,2358,174],{},[30,2360,178],{"id":177},[35,2362,2363,88],{},[39,2364,183],{},[53,2366,2367,2371,2373,2375,2377],{},[56,2368,188,2369,192],{},[90,2370,191],{},[56,2372,195],{},[56,2374,198],{},[56,2376,201],{},[56,2378,204],{},[35,2380,2381,88],{},[39,2382,209],{},[53,2384,2385,2389,2391,2393,2395],{},[56,2386,2387,217],{},[39,2388,216],{},[56,2390,220],{},[56,2392,223],{},[56,2394,226],{},[56,2396,229],{},[30,2398,232],{"id":232},[81,2400,2401,2403,2407,2411,2413,2415],{},[56,2402,237],{},[56,2404,2405],{},[90,2406,242],{},[56,2408,245,2409],{},[90,2410,248],{},[56,2412,251],{},[56,2414,254],{},[56,2416,257,2417,261],{},[90,2418,260],{},[30,2420,264],{"id":264},[117,2422,2423,2437],{},[120,2424,2425],{},[123,2426,2427,2429,2431,2433,2435],{},[126,2428,273],{},[126,2430,11],{},[126,2432,278],{},[126,2434,281],{},[126,2436,284],{},[136,2438,2439,2451,2463,2475,2487,2499],{},[123,2440,2441,2443,2445,2447,2449],{},[141,2442,291],{},[141,2444,294],{},[141,2446,297],{},[141,2448,300],{},[141,2450,297],{},[123,2452,2453,2455,2457,2459,2461],{},[141,2454,307],{},[141,2456,300],{},[141,2458,297],{},[141,2460,300],{},[141,2462,297],{},[123,2464,2465,2467,2469,2471,2473],{},[141,2466,320],{},[141,2468,147],{},[141,2470,325],{},[141,2472,147],{},[141,2474,330],{},[123,2476,2477,2479,2481,2483,2485],{},[141,2478,335],{},[141,2480,338],{},[141,2482,341],{},[141,2484,344],{},[141,2486,347],{},[123,2488,2489,2491,2493,2495,2497],{},[141,2490,352],{},[141,2492,300],{},[141,2494,300],{},[141,2496,297],{},[141,2498,300],{},[123,2500,2501,2503,2505,2507,2509],{},[141,2502,365],{},[141,2504,368],{},[141,2506,371],{},[141,2508,371],{},[141,2510,371],{},[30,2512,378],{"id":378},[53,2514,2515,2519,2523,2531,2535],{},[56,2516,2517,386],{},[39,2518,385],{},[56,2520,2521,392],{},[39,2522,391],{},[56,2524,2525,398,2527,402,2529,406],{},[39,2526,397],{},[90,2528,401],{},[90,2530,405],{},[56,2532,2533,412],{},[39,2534,411],{},[56,2536,2537,418],{},[39,2538,417],{},[30,2540,422],{"id":421},[53,2542,2543,2545,2547,2549,2551],{},[56,2544,427],{},[56,2546,430],{},[56,2548,433],{},[56,2550,436],{},[56,2552,439],{},[30,2554,442],{"id":442},[53,2556,2557,2561,2565,2569],{},[56,2558,2559,451],{},[448,2560,450],{"href":15},[56,2562,2563],{},[448,2564,456],{"href":18},[56,2566,2567],{},[448,2568,461],{"href":21},[56,2570,2571,467],{},[448,2572,466],{"href":24},[30,2574,470],{"id":470},[81,2576,2577,2582,2587,2592],{},[56,2578,475,2579],{},[448,2580,478],{"href":478,"rel":2581},[480],[56,2583,483,2584],{},[448,2585,486],{"href":486,"rel":2586},[480],[56,2588,490,2589],{},[448,2590,493],{"href":493,"rel":2591},[480],[56,2593,497,2594],{},[448,2595,500],{"href":500,"rel":2596},[480],{"title":503,"searchDepth":504,"depth":504,"links":2598},[2599,2600,2601,2602,2603,2604,2605,2606,2607,2608],{"id":32,"depth":507,"text":33},{"id":48,"depth":507,"text":48},{"id":114,"depth":507,"text":115},{"id":177,"depth":507,"text":178},{"id":232,"depth":507,"text":232},{"id":264,"depth":507,"text":264},{"id":378,"depth":507,"text":378},{"id":421,"depth":507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Catalyst",[2636,2639,2642,2645],{"name":2637,"url":2638},"helicone","\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone",{"name":2640,"url":2641},"portkey","\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey",{"name":2643,"url":2644},"litellm","\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm",{"name":2646,"url":2647},"langflow","\u002Ftools\u002Fagent\u002Flangflow",{"type":27,"value":2649,"toc":3274},[2650,2652,2655,2658,2661,2717,2719,2738,2744,2748,2753,2773,2778,2801,2803,2822,2974,2977,3135,3137,3187,3189,3215,3217,3239,3241,3271],[30,2651,33],{"id":32},[35,2653,2654],{},"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。",[35,2656,2657],{},"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）。",[30,2659,2660],{"id":2660},"核心能力",[53,2662,2663,2669,2675,2681,2687,2693,2699,2705,2711],{},[56,2664,2665,2668],{},[39,2666,2667],{},"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）",[56,2670,2671,2674],{},[39,2672,2673],{},"多 agent tracing","：每次 LLM \u002F tool \u002F sub-agent 调用都可追溯 + 时序回放",[56,2676,2677,2680],{},[39,2678,2679],{},"多 agent debug","：复杂 agent 失败时回放每个决策点 + 上下文",[56,2682,2683,2686],{},[39,2684,2685],{},"Python SDK","：包装 LangChain \u002F LlamaIndex \u002F 自家框架自动埋点",[56,2688,2689,2692],{},[39,2690,2691],{},"风险量化","：每个测试出风险分 + 影响面 + 修复建议",[56,2694,2695,2698],{},[39,2696,2697],{},"数据集管理","：build eval dataset + 跑 regression",[56,2700,2701,2704],{},[39,2702,2703],{},"报告 \u002F 仪表盘","：团队级风险仪表盘 + 趋势 + CI\u002FCD 集成",[56,2706,2707,2710],{},[39,2708,2709],{},"自托管 SDK + Cloud 协同","：SDK 本地跑、Cloud 集中可视化",[56,2712,2713,2716],{},[39,2714,2715],{},"合规友好","：私有部署 + SSO + 审计（Enterprise）",[30,2718,131],{"id":131},[53,2720,2721,2727,2733],{},[56,2722,2723,2726],{},[39,2724,2725],{},"Catalyst OSS Python SDK","：$0；功能含 tracing + 部分 eval",[56,2728,2729,2732],{},[39,2730,2731],{},"Cloud","：Custom（联系销售）；含全 300+ 测试库 + 仪表盘 + 协作",[56,2734,2735,2737],{},[39,2736,104],{},"：Custom + SSO + 私有部署 + SLA",[2739,2740,2741],"blockquote",{},[35,2742,2743],{},"真实场景：先用 OSS SDK 跑 trace 评估价值，进 PoC 后再谈 Cloud 价格。",[30,2745,2747],{"id":2746},"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）",[35,2749,2750],{},[39,2751,2752],{},"亮点：",[53,2754,2755,2758,2761,2764,2767,2770],{},[56,2756,2757],{},"300+ 测试库省去 reinvent 各种 eval metric 的工作",[56,2759,2760],{},"RAG faithfulness \u002F context precision 测试对反 hallucination 很有用",[56,2762,2763],{},"多 agent trace + 回放在调试复杂协作链时是救命工具",[56,2765,2766],{},"风险评分给业务方一个 quantitative 沟通口径",[56,2768,2769],{},"Catalyst SDK 开源，预算紧团队也能先用上",[56,2771,2772],{},"与 LangChain \u002F LlamaIndex 集成顺滑",[35,2774,2775],{},[39,2776,2777],{},"踩坑：",[53,2779,2780,2783,2786,2789,2792,2795,2798],{},[56,2781,2782],{},"文档对高级配置 + 自定义测试覆盖不足，社区反馈一致",[56,2784,2785],{},"Cloud 定价不透明，PoC 才能拿到报价",[56,2787,2788],{},"报告 \u002F UI 偏英文 + 印度产品风格，中文场景弱",[56,2790,2791],{},"多 agent trace 在超大调用图（>500 step）下渲染慢",[56,2793,2794],{},"测试结果质量依赖 dataset 质量，garbage in \u002F garbage out",[56,2796,2797],{},"比 Langfuse 更偏『测试』少偏『日常 observability』，两个工具有时要叠用",[56,2799,2800],{},"国内访问 Cloud 延迟 + 合规需要评估",[30,2802,232],{"id":232},[1328,2804,2808],{"className":2805,"code":2806,"language":2807,"meta":503,"style":503},"language-bash shiki shiki-themes github-light github-dark","pip install ragaai-catalyst\n","bash",[90,2809,2810],{"__ignoreMap":503},[1336,2811,2812,2816,2819],{"class":1338,"line":1339},[1336,2813,2815],{"class":2814},"sScJk","pip",[1336,2817,2818],{"class":1363}," install",[1336,2820,2821],{"class":1363}," ragaai-catalyst\n",[1328,2823,2827],{"className":2824,"code":2825,"language":2826,"meta":503,"style":503},"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",[90,2828,2829,2844,2849,2860,2873,2884,2894,2899,2903,2934,2939,2944,2951,2957,2962,2968],{"__ignoreMap":503},[1336,2830,2831,2835,2838,2841],{"class":1338,"line":1339},[1336,2832,2834],{"class":2833},"szBVR","from",[1336,2836,2837],{"class":1342}," ragaai_catalyst ",[1336,2839,2840],{"class":2833},"import",[1336,2842,2843],{"class":1342}," RagaAICatalyst, Tracer\n",[1336,2845,2846],{"class":1338,"line":507},[1336,2847,2848],{"emptyLinePlaceholder":541},"\n",[1336,2850,2851,2854,2857],{"class":1338,"line":504},[1336,2852,2853],{"class":1342},"catalyst ",[1336,2855,2856],{"class":2833},"=",[1336,2858,2859],{"class":1342}," RagaAICatalyst(\n",[1336,2861,2862,2866,2868,2871],{"class":1338,"line":518},[1336,2863,2865],{"class":2864},"s4XuR","    access_key",[1336,2867,2856],{"class":2833},[1336,2869,2870],{"class":1363},"\"...\"",[1336,2872,1367],{"class":1342},[1336,2874,2875,2878,2880,2882],{"class":1338,"line":567},[1336,2876,2877],{"class":2864},"    secret_key",[1336,2879,2856],{"class":2833},[1336,2881,2870],{"class":1363},[1336,2883,1367],{"class":1342},[1336,2885,2886,2889,2891],{"class":1338,"line":1394},[1336,2887,2888],{"class":2864},"    base_url",[1336,2890,2856],{"class":2833},[1336,2892,2893],{"class":1363},"\"https:\u002F\u002Fcatalyst.raga.ai\"\n",[1336,2895,2896],{"class":1338,"line":5},[1336,2897,2898],{"class":1342},")\n",[1336,2900,2901],{"class":1338,"line":8},[1336,2902,2848],{"emptyLinePlaceholder":541},[1336,2904,2905,2908,2910,2913,2916,2918,2921,2924,2927,2929,2932],{"class":1338,"line":1422},[1336,2906,2907],{"class":1342},"tracer ",[1336,2909,2856],{"class":2833},[1336,2911,2912],{"class":1342}," Tracer(",[1336,2914,2915],{"class":2864},"project_name",[1336,2917,2856],{"class":2833},[1336,2919,2920],{"class":1363},"\"my-rag-app\"",[1336,2922,2923],{"class":1342},", ",[1336,2925,2926],{"class":2864},"tracer_type",[1336,2928,2856],{"class":2833},[1336,2930,2931],{"class":1363},"\"langchain\"",[1336,2933,2898],{"class":1342},[1336,2935,2936],{"class":1338,"line":7},[1336,2937,2938],{"class":1342},"tracer.start()\n",[1336,2940,2942],{"class":1338,"line":2941},11,[1336,2943,2848],{"emptyLinePlaceholder":541},[1336,2945,2947],{"class":1338,"line":2946},12,[1336,2948,2950],{"class":2949},"sJ8bj","# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n",[1336,2952,2954],{"class":1338,"line":2953},13,[1336,2955,2956],{"class":2949},"# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n",[1336,2958,2960],{"class":1338,"line":2959},14,[1336,2961,2848],{"emptyLinePlaceholder":541},[1336,2963,2965],{"class":1338,"line":2964},15,[1336,2966,2967],{"class":1342},"tracer.stop()\n",[1336,2969,2971],{"class":1338,"line":2970},16,[1336,2972,2973],{"class":2949},"# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n",[30,2975,2976],{"id":2976},"对比",[117,2978,2979,2996],{},[120,2980,2981],{},[123,2982,2983,2985,2987,2990,2993],{},[126,2984,273],{},[126,2986,2634],{},[126,2988,2989],{},"Langfuse",[126,2991,2992],{},"Helicone",[126,2994,2995],{},"Portkey",[136,2997,2998,3015,3030,3045,3059,3073,3089,3102,3119],{},[123,2999,3000,3003,3006,3009,3012],{},[141,3001,3002],{},"主打",[141,3004,3005],{},"测试 + 风险量化",[141,3007,3008],{},"Tracing + eval",[141,3010,3011],{},"Proxy 观测 + gateway",[141,3013,3014],{},"Gateway + 观测",[123,3016,3017,3020,3023,3025,3028],{},[141,3018,3019],{},"自动化测试库",[141,3021,3022],{},"✅ 300+",[141,3024,911],{},[141,3026,3027],{},"浅",[141,3029,3027],{},[123,3031,3032,3035,3038,3041,3043],{},[141,3033,3034],{},"Agentic debug",[141,3036,3037],{},"✅ 强",[141,3039,3040],{},"✅ nested span",[141,3042,3027],{},[141,3044,2066],{},[123,3046,3047,3050,3052,3055,3057],{},[141,3048,3049],{},"RAG 专项测试",[141,3051,3037],{},[141,3053,3054],{},"✅ 中",[141,3056,2057],{},[141,3058,2057],{},[123,3060,3061,3064,3066,3068,3070],{},[141,3062,3063],{},"Proxy \u002F gateway",[141,3065,297],{},[141,3067,297],{},[141,3069,300],{},[141,3071,3072],{},"✅ 250+",[123,3074,3075,3078,3081,3084,3086],{},[141,3076,3077],{},"自托管 OSS",[141,3079,3080],{},"SDK 部分",[141,3082,3083],{},"✅ MIT 19K+",[141,3085,300],{},[141,3087,3088],{},"OSS Gateway only",[123,3090,3091,3094,3096,3098,3100],{},[141,3092,3093],{},"中文生态",[141,3095,297],{},[141,3097,297],{},[141,3099,297],{},[141,3101,297],{},[123,3103,3104,3107,3110,3113,3116],{},[141,3105,3106],{},"定价透明",[141,3108,3109],{},"❌ Custom",[141,3111,3112],{},"✅ $0\u002F$29\u002FEnterprise",[141,3114,3115],{},"✅ $0\u002F$79\u002F$799",[141,3117,3118],{},"✅ $0\u002F$49\u002F$799",[123,3120,3121,3123,3126,3129,3132],{},[141,3122,1213],{},[141,3124,3125],{},"pre-prod testing + agentic",[141,3127,3128],{},"日常 tracing + eval",[141,3130,3131],{},"改 URL 快上手",[141,3133,3134],{},"gateway + 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",[448,3254,3255],{"href":3255,"rel":3256},"https:\u002F\u002Faiindigo.com\u002Ftool\u002Fragaai-catalyst",[480],[56,3258,3259,3260],{},"SwitchTools — RagaAI Inc 平台（300+ 测试 \u002F 90% 风险下降）",[448,3261,3262],{"href":3262,"rel":3263},"https:\u002F\u002Fwww.switchtools.io\u002Ftool\u002Fragaai-inc",[480],[56,3265,3266,3267],{},"SoftwareSuggest — RagaAI Details \u002F Pricing 2026 ",[448,3268,3269],{"href":3269,"rel":3270},"https:\u002F\u002Fwww.softwaresuggest.com\u002Fragaai",[480],[1662,3272,3273],{},"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: 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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":3293,"a":3294},"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":3296,"a":3297},"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":3299,"a":3300},"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。",[539],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fraga",[2826,3305,546],"sdk",[3307,3311,3314],{"plan":3308,"price":147,"features":3309,"notes":3310},"Catalyst 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