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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":632,"a":633},"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":635,"a":636},"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",[639,640],"zh","en",{},true,"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue","coding",[646,647,648],"vscode","jetbrains","cli",[650,655,659,663],{"plan":651,"price":652,"seats":653,"notes":654},"OSS 自托管","$0","—","BYOK，自付 LLM API 费，Apache 2.0",{"plan":144,"price":656,"seats":657,"notes":658},"$3\u002FM tokens","1","PAYG，托管模型 + 共享 agent",{"plan":155,"price":660,"seats":661,"notes":662},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":166,"price":169,"seats":653,"notes":664},"BYOK、SAML、enterprise 支持","开源免费 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收购后，开源仓库还在，社区版长期可用。","https:\u002F\u002Fwww.continue.dev","p0EKNU0ZiqVYUuPhE6TfcxmhgKGc_gv89PviAWVJXWw",{"ok":642,"slug":695,"viewCount":696,"clickCount":696,"avgRating":696,"ratingCount":696},"coding%2Fagent%2Fcontinue",0,[698,1223,1661,2196,2693],{"id":699,"title":700,"alternatives":701,"api_compatible":25,"body":711,"category":619,"chinese_friendly":264,"cover":1165,"description":1166,"domestic":622,"extension":623,"faq":1167,"free":622,"github":25,"languages":1180,"meta":1181,"models":25,"navigation":642,"notSuitable":25,"opensource":622,"path":1182,"pillar":644,"platforms":1183,"priceTable":1184,"pricing":1195,"published":666,"relatedPlaybooks":1196,"relatedReviews":25,"score":1203,"self_host":622,"seo":1204,"slug":1205,"sources":1206,"stem":1213,"suitable":25,"tagline":1214,"tags":1215,"updated":680,"verdict":1220,"website":1221,"__hash__":1222},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md","Augment Code",[702,705,706,709],{"name":703,"url":704},"github-copilot","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot",{"name":14,"url":15},{"name":707,"url":708},"claude-code","\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code",{"name":710,"url":704},"tabnine",{"type":27,"value":712,"toc":1153},[713,715,722,725,727,730,750,757,761,854,860,877,880,884,889,903,907,924,926,950,952,1050,1052,1084,1086,1106,1108,1128,1130],[30,714,33],{"id":32},[35,716,717,718,721],{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[42,719,720],{},"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。",[35,723,724],{},"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）。",[30,726,52],{"id":52},[35,728,729],{},"Augment 把 AI 编程产品拆成三件套：",[232,731,732,738,744],{},[60,733,734,737],{},[42,735,736],{},"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。",[60,739,740,743],{},[42,741,742],{},"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。",[60,745,746,749],{},[42,747,748],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[35,751,752,753,756],{},"底层 LLM 走 ",[42,754,755],{},"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%。",[30,758,760],{"id":759},"价格2026-06","价格（2026-06）",[105,762,763,782],{},[108,764,765],{},[111,766,767,770,773,776,779],{},[114,768,769],{},"Plan",[114,771,772],{},"价格",[114,774,775],{},"Credits",[114,777,778],{},"团队规模",[114,780,781],{},"适用",[124,783,784,802,821,839],{},[111,785,786,791,794,797,799],{},[129,787,788],{},[42,789,790],{},"Indie",[129,792,793],{},"$20\u002F月",[129,795,796],{},"40k",[129,798,657],{},[129,800,801],{},"个人开发者",[111,803,804,809,812,815,818],{},[129,805,806],{},[42,807,808],{},"Standard",[129,810,811],{},"$60\u002F席\u002F月",[129,813,814],{},"130k\u002F席（池化）",[129,816,817],{},"≤20",[129,819,820],{},"中小生产团队",[111,822,823,828,831,834,836],{},[129,824,825],{},[42,826,827],{},"Max",[129,829,830],{},"$200\u002F席\u002F月",[129,832,833],{},"450k\u002F席（池化）",[129,835,817],{},[129,837,838],{},"重度 + 异步任务多",[111,840,841,844,846,848,851],{},[129,842,843],{},"Enterprise",[129,845,169],{},[129,847,169],{},[129,849,850],{},"∞",[129,852,853],{},"大型企业",[35,855,856,859],{},[42,857,858],{},"credits 单价","（一次中等任务）：",[57,861,862,865,868,871,874],{},[60,863,864],{},"Haiku 4.5：~88 credits",[60,866,867],{},"Sonnet 4.6：~293 credits",[60,869,870],{},"Opus 4.7：~488 credits",[60,872,873],{},"Gemini 3.1 Pro：~268 credits",[60,875,876],{},"GPT-5.1：~219 credits",[35,878,879],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[30,881,883],{"id":882},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[35,885,886,184],{},[42,887,888],{},"亮点",[57,890,891,894,897,900],{},[60,892,893],{},"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",[60,895,896],{},"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",[60,898,899],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[60,901,902],{},"SOC 2 Type II 合规对企业采购友好",[35,904,905,184],{},[42,906,210],{},[57,908,909,912,915,918,921],{},[60,910,911],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[60,913,914],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[60,916,917],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[60,919,920],{},"国内访问偶发抖动（CDN 美国）",[60,922,923],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[30,925,230],{"id":230},[232,927,928,931,934,937,940,943],{},[60,929,930],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[60,932,933],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[60,935,936],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[60,938,939],{},"等首次索引（10 分钟–1 小时取决于规模）",[60,941,942],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[60,944,945,946,949],{},"进阶：装 Auggie CLI（",[79,947,948],{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[30,951,373],{"id":373},[105,953,954,971],{},[108,955,956],{},[111,957,958,960,963,965,968],{},[114,959,382],{},[114,961,962],{},"Augment",[114,964,388],{},[114,966,967],{},"Copilot Enterprise",[114,969,970],{},"Claude Code",[124,972,973,990,1007,1020,1036],{},[111,974,975,978,981,984,987],{},[129,976,977],{},"Context 覆盖",[129,979,980],{},"整个 monorepo + 跨仓",[129,982,983],{},"单仓库 + 文件 @",[129,985,986],{},"单仓库 + indexing",[129,988,989],{},"单仓 + 上下文",[111,991,992,995,998,1001,1004],{},[129,993,994],{},"起步价（团队）",[129,996,997],{},"$60\u002F席",[129,999,1000],{},"$40\u002F席（Business）",[129,1002,1003],{},"$39\u002F席",[129,1005,1006],{},"$20\u002F账号",[111,1008,1009,1012,1014,1016,1018],{},[129,1010,1011],{},"Async cloud agent",[129,1013,429],{},[129,1015,440],{},[129,1017,424],{},[129,1019,424],{},[111,1021,1022,1025,1028,1031,1034],{},[129,1023,1024],{},"合规",[129,1026,1027],{},"SOC 2 II ✅",[129,1029,1030],{},"SOC 2 ✅",[129,1032,1033],{},"SOC 2 + GDPR ✅",[129,1035,1030],{},[111,1037,1038,1041,1044,1046,1048],{},[129,1039,1040],{},"中文",[129,1042,1043],{},"2\u002F5",[129,1045,487],{},[129,1047,487],{},[129,1049,487],{},[30,1051,494],{"id":494},[57,1053,1054,1060,1066,1072,1078],{},[60,1055,1056,1059],{},[42,1057,1058],{},"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",[60,1061,1062,1065],{},[42,1063,1064],{},"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",[60,1067,1068,1071],{},[42,1069,1070],{},"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",[60,1073,1074,1077],{},[42,1075,1076],{},"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",[60,1079,1080,1083],{},[42,1081,1082],{},"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",[30,1085,532],{"id":531},[57,1087,1088,1091,1094,1097,1100,1103],{},[60,1089,1090],{},"✅ 海外大型工程团队、monorepo > 30 万行",[60,1092,1093],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[60,1095,1096],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[60,1098,1099],{},"❌ 个人开发者 \u002F 创业初期小项目",[60,1101,1102],{},"❌ 主语言为中文的国内团队",[60,1104,1105],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[30,1107,552],{"id":552},[57,1109,1110,1115,1119,1124],{},[60,1111,1112],{},[558,1113,1114],{"href":704},"GitHub Copilot 评测",[60,1116,1117],{},[558,1118,560],{"href":15},[60,1120,1121],{},[558,1122,1123],{"href":708},"Claude Code 评测",[60,1125,1126],{},[558,1127,565],{"href":18},[30,1129,578],{"id":578},[232,1131,1132,1139,1146],{},[60,1133,1134,1135],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[558,1136,1137],{"href":1137,"rel":1138},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[588],[60,1140,1141,1142],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[558,1143,1144],{"href":1144,"rel":1145},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[588],[60,1147,1148,1149],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[558,1150,1151],{"href":1151,"rel":1152},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[588],{"title":250,"searchDepth":274,"depth":274,"links":1154},[1155,1156,1157,1158,1159,1160,1161,1162,1163,1164],{"id":32,"depth":264,"text":33},{"id":52,"depth":264,"text":52},{"id":759,"depth":264,"text":760},{"id":882,"depth":264,"text":883},{"id":230,"depth":264,"text":230},{"id":373,"depth":264,"text":373},{"id":494,"depth":264,"text":494},{"id":531,"depth":264,"text":532},{"id":552,"depth":264,"text":552},{"id":578,"depth":264,"text":578},"\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。",[1168,1171,1174,1177],{"q":1169,"a":1170},"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":1172,"a":1173},"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":1175,"a":1176},"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":1178,"a":1179},"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。",[640],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment",[646,647,648],[1185,1187,1190,1193],{"plan":790,"price":793,"seats":657,"credits":796,"notes":1186},"解决方案给个人开发者，每月 40K credits 池",{"plan":808,"price":811,"seats":817,"credits":1188,"notes":1189},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":827,"price":830,"seats":817,"credits":1191,"notes":1192},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":843,"price":169,"seats":850,"credits":169,"notes":1194},"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",[1197,1200],{"name":1198,"url":1199},"大型重构 + AI Agent 实战","\u002Fplaybook\u002Frefactor\u002Flarge-refactor-with-ai-agent",{"name":1201,"url":1202},"Context Engineering Wiki","\u002Fwiki\u002Fcontext-engineering",{"power":303,"ux":290,"price":264,"cn_support":264,"stability":290},{"title":700,"description":1166},"coding\u002Fagent\u002Faugment",[1207,1209,1211],{"name":1208,"url":1137,"accessed":680},"AgentDeals — Augment Code Pricing 2026",{"name":1210,"url":1144,"accessed":680},"CheckThat.ai — Augment Code Pricing & TCO",{"name":1212,"url":1151,"accessed":680},"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",[1216,1217,1218,619,648,1219],"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 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第三方追踪）",[35,1719,1720],{},[42,1721,1722],{},"Cloud Devin（按 ACU 计费）",[105,1724,1725,1743],{},[108,1726,1727],{},[111,1728,1729,1731,1734,1737,1740],{},[114,1730,769],{},[114,1732,1733],{},"月费",[114,1735,1736],{},"ACU 价",[114,1738,1739],{},"并发",[114,1741,1742],{},"关键能力",[124,1744,1745,1764,1780],{},[111,1746,1747,1752,1755,1758,1761],{},[129,1748,1749],{},[42,1750,1751],{},"Core",[129,1753,1754],{},"$20 起步（PAYG）",[129,1756,1757],{},"$2.25\u002FACU",[129,1759,1760],{},"10",[129,1762,1763],{},"Devin IDE、Ask Devin、Wiki",[111,1765,1766,1769,1772,1775,1777],{},[129,1767,1768],{},"Team",[129,1770,1771],{},"$500 含 250 ACU",[129,1773,1774],{},"$2\u002FACU（含内）",[129,1776,850],{},[129,1778,1779],{},"API、专属 Slack 频道、early access",[111,1781,1782,1784,1786,1788,1790],{},[129,1783,843],{},[129,1785,169],{},[129,1787,169],{},[129,1789,850],{},[129,1791,1792],{},"VPC、SSO、Custom Devins",[35,1794,1795],{},[42,1796,1797],{},"Devin Desktop（2026-06 Windsurf 改名后）",[105,1799,1800,1810],{},[108,1801,1802],{},[111,1803,1804,1806,1808],{},[114,1805,769],{},[114,1807,772],{},[114,1809,781],{},[124,1811,1812,1822,1831,1841],{},[111,1813,1814,1817,1819],{},[129,1815,1816],{},"Free",[129,1818,652],{},[129,1820,1821],{},"轻量配额",[111,1823,1824,1827,1829],{},[129,1825,1826],{},"Pro",[129,1828,793],{},[129,1830,801],{},[111,1832,1833,1835,1838],{},[129,1834,827],{},[129,1836,1837],{},"$200\u002F月",[129,1839,1840],{},"重度用户",[111,1842,1843,1846,1849],{},[129,1844,1845],{},"Teams",[129,1847,1848],{},"$80\u002F月 + $40\u002F席",[129,1850,1851],{},"团队",[35,1853,1854],{},"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。",[30,1856,178],{"id":178},[35,1858,1859,184],{},[42,1860,183],{},[57,1862,1863,1866,1869,1872],{},[60,1864,1865],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[60,1867,1868],{},"Devin Wiki 自动生成的代码库地图很有用",[60,1870,1871],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[60,1873,1874],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[35,1876,1877,184],{},[42,1878,210],{},[57,1880,1881,1884,1887,1890,1893],{},[60,1882,1883],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[60,1885,1886],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[60,1888,1889],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[60,1891,1892],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[60,1894,1895],{},"Free trial 没有，最低要先付 $20 才能试",[30,1897,230],{"id":230},[232,1899,1900,1903,1906,1909,1912],{},[60,1901,1902],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[60,1904,1905],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[60,1907,1908],{},"给一个 issue + 验收标准（越具体越省 ACU）",[60,1910,1911],{},"Interactive Planning：审一遍方案",[60,1913,1914],{},"Devin 自动跑、PR 自动开、等 review",[30,1916,373],{"id":373},[105,1918,1919,1935],{},[108,1920,1921],{},[111,1922,1923,1925,1927,1930,1933],{},[114,1924,382],{},[114,1926,1663],{},[114,1928,1929],{},"OpenHands",[114,1931,1932],{},"Manus",[114,1934,970],{},[124,1936,1937,1954,1971,1986,2002],{},[111,1938,1939,1942,1945,1948,1951],{},[129,1940,1941],{},"模式",[129,1943,1944],{},"异步 Cloud Agent",[129,1946,1947],{},"自托管 \u002F Cloud",[129,1949,1950],{},"异步 Cloud",[129,1952,1953],{},"同步 CLI",[111,1955,1956,1959,1962,1965,1968],{},[129,1957,1958],{},"起步价",[129,1960,1961],{},"$20 + ACU",[129,1963,1964],{},"免费（开源）",[129,1966,1967],{},"$39\u002F月",[129,1969,1970],{},"Pro $20\u002F月",[111,1972,1973,1975,1978,1981,1984],{},[129,1974,1739],{},[129,1976,1977],{},"10–∞",[129,1979,1980],{},"自托管无限",[129,1982,1983],{},"5+",[129,1985,657],{},[111,1987,1988,1990,1993,1996,1999],{},[129,1989,1040],{},[129,1991,1992],{},"弱",[129,1994,1995],{},"强（社区维护）",[129,1997,1998],{},"强（国产）",[129,2000,2001],{},"中",[111,2003,2004,2007,2010,2013,2015],{},[129,2005,2006],{},"沙箱",[129,2008,2009],{},"内置云端",[129,2011,2012],{},"Docker \u002F Cloud",[129,2014,2009],{},[129,2016,2017],{},"本地",[30,2019,494],{"id":494},[57,2021,2022,2028,2034,2040,2046],{},[60,2023,2024,2027],{},[42,2025,2026],{},"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」",[60,2029,2030,2033],{},[42,2031,2032],{},"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",[60,2035,2036,2039],{},[42,2037,2038],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[60,2041,2042,2045],{},[42,2043,2044],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[60,2047,2048,2050],{},[42,2049,1076],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[30,2052,532],{"id":531},[57,2054,2055,2058,2061,2064,2067],{},[60,2056,2057],{},"✅ 海外团队、英文项目、批量化的中小 task",[60,2059,2060],{},"✅ 想做「夜跑 agent」流水线的工程团队",[60,2062,2063],{},"❌ 中文项目、国内个人开发者",[60,2065,2066],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[60,2068,2069],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[30,2071,552],{"id":552},[57,2073,2074,2080,2086],{},[60,2075,2076,2079],{},[558,2077,2078],{"href":1667},"OpenHands 评测","（Devin 的开源平替）",[60,2081,2082,2085],{},[558,2083,2084],{"href":1670},"Manus 评测","（国产 cloud agent）",[60,2087,2088,2090],{},[558,2089,1123],{"href":708},"（同步替代方案）",[30,2092,578],{"id":578},[232,2094,2095,2102,2109,2116],{},[60,2096,2097,2098],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[558,2099,2100],{"href":2100,"rel":2101},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[588],[60,2103,2104,2105],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[558,2106,2107],{"href":2107,"rel":2108},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[588],[60,2110,2111,2112],{},"eesel — Cognition AI Pricing Explained ",[558,2113,2114],{"href":2114,"rel":2115},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[588],[60,2117,2118,2119],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[558,2120,2121],{"href":2121,"rel":2122},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[588],{"title":250,"searchDepth":274,"depth":274,"links":2124},[2125,2126,2127,2128,2129,2130,2131,2132,2133,2134],{"id":32,"depth":264,"text":33},{"id":52,"depth":264,"text":52},{"id":1716,"depth":264,"text":1717},{"id":178,"depth":264,"text":178},{"id":230,"depth":264,"text":230},{"id":373,"depth":264,"text":373},{"id":494,"depth":264,"text":494},{"id":531,"depth":264,"text":532},{"id":552,"depth":264,"text":552},{"id":578,"depth":264,"text":578},"\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。",[2138,2141,2144,2147],{"q":2139,"a":2140},"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":2142,"a":2143},"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":2145,"a":2146},"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":2148,"a":2149},"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。",[640],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",[2154,2155],"cloud","desktop",[2157,2161,2165],{"plan":2158,"price":2159,"seats":657,"notes":2160},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":1768,"price":2162,"seats":2163,"notes":2164},"$500\u002F月","≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":843,"price":169,"seats":653,"notes":2166},"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",[2169,2172],{"name":2170,"url":2171},"AI PR Review Pipeline","\u002Fplaybook\u002Freview\u002Fai-pr-review-pipeline",{"name":2173,"url":2174},"AI Agent 概念入门 Wiki","\u002Fwiki\u002Fai-agent",{"power":303,"ux":290,"price":264,"cn_support":264,"stability":290},{"title":1663,"description":2136},"coding\u002Fagent\u002Fdevin",[2179,2181,2183,2185],{"name":2180,"url":2100,"accessed":680},"SiliconAngle — Devin 2.0 launch",{"name":2182,"url":2107,"accessed":680},"CostBench — Devin AI Pricing 2026",{"name":2184,"url":2114,"accessed":680},"eesel — Cognition AI Pricing",{"name":2186,"url":2121,"accessed":680},"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",[619,2190,2154,2191,2192],"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":2197,"title":1929,"alternatives":2198,"api_compatible":25,"body":2204,"category":619,"chinese_friendly":290,"cover":2639,"description":2640,"domestic":622,"extension":623,"faq":2641,"free":622,"github":2654,"languages":2655,"meta":2656,"models":25,"navigation":642,"notSuitable":25,"opensource":642,"path":1667,"pillar":644,"platforms":2657,"priceTable":2659,"pricing":2666,"published":666,"relatedPlaybooks":2667,"relatedReviews":25,"score":2672,"self_host":642,"seo":2673,"slug":2674,"sources":2675,"stem":2684,"suitable":25,"tagline":2685,"tags":2686,"updated":680,"verdict":2690,"website":2691,"__hash__":2692},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands.md",[2199,2201,2202,2203],{"name":2200,"url":2152},"devin",{"name":20,"url":21},{"name":17,"url":18},{"name":1669,"url":1670},{"type":27,"value":2205,"toc":2627},[2206,2208,2215,2218,2220,2223,2246,2249,2276,2278,2324,2327,2331,2335,2356,2360,2380,2382,2411,2413,2511,2513,2553,2555,2572,2574,2595,2597],[30,2207,33],{"id":32},[35,2209,2210,2211,2214],{},"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：",[42,2212,2213],{},"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。",[35,2216,2217],{},"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。",[30,2219,52],{"id":52},[35,2221,2222],{},"OpenHands 的核心是「Agent + 工具集」，工具集包括：",[57,2224,2225,2228,2231,2234,2237,2240],{},[60,2226,2227],{},"文件编辑（多文件 diff\u002Fedit）",[60,2229,2230],{},"shell command 执行（Docker sandbox 隔离）",[60,2232,2233],{},"浏览器自动化（点击、表单、截图）",[60,2235,2236],{},"API 调用 \u002F HTTP 请求",[60,2238,2239],{},"Git 仓库操作（clone、commit、PR）",[60,2241,2242,2245],{},[42,2243,2244],{},"MCP 协议","：可挂载任意第三方 tool",[35,2247,2248],{},"四种使用入口：",[232,2250,2251,2259,2265,2270],{},[60,2252,2253,184,2255,2258],{},[42,2254,651],{},[79,2256,2257],{},"docker run"," 一行起，本地 Web GUI + CLI",[60,2260,2261,2264],{},[42,2262,2263],{},"Individual Cloud","：openhands.dev 注册免费用，每天 10 会话",[60,2266,2267,2269],{},[42,2268,843],{},"：私有云 + 多用户 + RBAC + 集中 billing",[60,2271,2272,2275],{},[42,2273,2274],{},"Cloud Agent SDK","：把 OpenHands 当 lib 嵌入自家产品",[30,2277,760],{"id":759},[105,2279,2280,2291],{},[108,2281,2282],{},[111,2283,2284,2286,2288],{},[114,2285,769],{},[114,2287,772],{},[114,2289,2290],{},"限制",[124,2292,2293,2304,2315],{},[111,2294,2295,2299,2301],{},[129,2296,2297],{},[42,2298,651],{},[129,2300,652],{},[129,2302,2303],{},"BYOK，单用户，自己付 LLM 费",[111,2305,2306,2310,2312],{},[129,2307,2308],{},[42,2309,2263],{},[129,2311,652],{},[129,2313,2314],{},"每天 10 会话，BYOK 或 OpenHands at-cost LLM",[111,2316,2317,2319,2321],{},[129,2318,843],{},[129,2320,169],{},[129,2322,2323],{},"多用户、SAML\u002FSSO、专属支持、Slack 频道",[35,2325,2326],{},"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。",[30,2328,2330],{"id":2329},"实测本地-docker-一周高强度试用","实测（本地 docker 一周高强度试用）",[35,2332,2333,184],{},[42,2334,183],{},[57,2336,2337,2344,2347,2350,2353],{},[60,2338,2339,2340,2343],{},"起步快：",[79,2341,2342],{},"docker run -p 3000:3000 allhandsai\u002Fopenhands"," 三分钟到 Web UI",[60,2345,2346],{},"中文支持比 Devin 好——社区贡献了不少中文 prompt 案例",[60,2348,2349],{},"浏览器 use 能力扎实——能去 stackoverflow 搜错误后修代码",[60,2351,2352],{},"任务可视化：sandbox 里跑的每条命令、改的每个文件都有回放",[60,2354,2355],{},"BYOK 灵活：白天 Claude Sonnet 4，晚上 DeepSeek R1，省钱",[35,2357,2358,184],{},[42,2359,210],{},[57,2361,2362,2368,2371,2374,2377],{},[60,2363,2364,2367],{},[42,2365,2366],{},"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",[60,2369,2370],{},"长任务（>30 分钟）context window 会爆，需要把任务拆小",[60,2372,2373],{},"Windows 用户必走 WSL2 + Docker Desktop，原生 docker 不稳",[60,2375,2376],{},"GUI 体验不如 Cursor \u002F Devin 精致——是工程师工具，不是 PM 工具",[60,2378,2379],{},"沙箱占资源——idle 时也吃 1–2GB 内存",[30,2381,230],{"id":230},[232,2383,2384,2387,2392,2398,2401,2404],{},[60,2385,2386],{},"装 Docker（含 docker-in-docker 支持）",[60,2388,2389],{},[79,2390,2391],{},"docker pull docker.all-hands.dev\u002Fall-hands-ai\u002Fopenhands:latest",[60,2393,2394,2395],{},"一行启动（官方推荐命令在 docs），打开 ",[79,2396,2397],{},"localhost:3000",[60,2399,2400],{},"选 LLM provider（Anthropic \u002F OpenAI \u002F Ollama \u002F 任意 OpenAI 兼容 endpoint）+ 填 API key",[60,2402,2403],{},"描述任务（中文 OK），Agent 在 sandbox 里跑给你看",[60,2405,2406,2407,2410],{},"进阶：编辑 ",[79,2408,2409],{},"config.toml"," 加 MCP server，或 fork 仓库改 microagent prompt",[30,2412,373],{"id":373},[105,2414,2415,2429],{},[108,2416,2417],{},[111,2418,2419,2421,2423,2425,2427],{},[114,2420,382],{},[114,2422,1929],{},[114,2424,1663],{},[114,2426,394],{},[114,2428,1932],{},[124,2430,2431,2444,2457,2469,2483,2496],{},[111,2432,2433,2435,2438,2440,2442],{},[129,2434,418],{},[129,2436,2437],{},"✅ MIT",[129,2439,424],{},[129,2441,429],{},[129,2443,424],{},[111,2445,2446,2449,2451,2453,2455],{},[129,2447,2448],{},"自托管",[129,2450,429],{},[129,2452,424],{},[129,2454,429],{},[129,2456,424],{},[111,2458,2459,2461,2463,2465,2467],{},[129,2460,1958],{},[129,2462,652],{},[129,2464,1961],{},[129,2466,652],{},[129,2468,1967],{},[111,2470,2471,2473,2475,2478,2480],{},[129,2472,1040],{},[129,2474,484],{},[129,2476,2477],{},"1\u002F5",[129,2479,487],{},[129,2481,2482],{},"5\u002F5",[111,2484,2485,2488,2490,2492,2494],{},[129,2486,2487],{},"Browser use",[129,2489,429],{},[129,2491,429],{},[129,2493,424],{},[129,2495,429],{},[111,2497,2498,2501,2504,2507,2509],{},[129,2499,2500],{},"上手成本",[129,2502,2503],{},"中（需 Docker）",[129,2505,2506],{},"低",[129,2508,2506],{},[129,2510,2506],{},[30,2512,494],{"id":494},[57,2514,2515,2521,2527,2541,2547],{},[60,2516,2517,2520],{},[42,2518,2519],{},"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",[60,2522,2523,2526],{},[42,2524,2525],{},"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",[60,2528,2529,2532,2533,2536,2537,2540],{},[42,2530,2531],{},"大仓库先 wiki","：让 OpenHands 跑一遍 ",[79,2534,2535],{},"summarize the repo","，把结果存到 ",[79,2538,2539],{},"microagents\u002F","，后续任务上下文更准",[60,2542,2543,2546],{},[42,2544,2545],{},"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",[60,2548,2549,2552],{},[42,2550,2551],{},"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",[30,2554,532],{"id":531},[57,2556,2557,2560,2563,2566,2569],{},[60,2558,2559],{},"✅ 中文 \u002F 国内场景（速度 + 隐私 + 成本三优）",[60,2561,2562],{},"✅ 合规 \u002F 私有云部署",[60,2564,2565],{},"✅ 想做企业内部 AI 开发平台的底座",[60,2567,2568],{},"❌ 不会 Docker \u002F 不愿读 yaml 的 PM \u002F 设计师",[60,2570,2571],{},"❌ 要 Devin 那种端到端体验（PR \u002F Slack \u002F Wiki 全自动）",[30,2573,552],{"id":552},[57,2575,2576,2582,2586,2590],{},[60,2577,2578,2581],{},[558,2579,2580],{"href":2152},"Devin 评测","（闭源同类）",[60,2583,2584],{},[558,2585,570],{"href":21},[60,2587,2588],{},[558,2589,565],{"href":18},[60,2591,2592,2594],{},[558,2593,2084],{"href":1670},"（国产 Cloud 替代）",[30,2596,578],{"id":578},[232,2598,2599,2606,2613,2620],{},[60,2600,2601,2602],{},"OpenHands 官方 Pricing ",[558,2603,2604],{"href":2604,"rel":2605},"https:\u002F\u002Fwww.openhands.dev\u002Fpricing",[588],[60,2607,2608,2609],{},"AISO Tools — OpenHands Pricing 2026（2026-06-21）",[558,2610,2611],{"href":2611,"rel":2612},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fopenhands",[588],[60,2614,2615,2616],{},"AI Tool Finder — OpenHands Review 2026（2026-05-14）",[558,2617,2618],{"href":2618,"rel":2619},"https:\u002F\u002Faitoolfinder.org\u002Ftools\u002Fopenhands",[588],[60,2621,2622,2623],{},"OSS-AI-SWE 项目目录 ",[558,2624,2625],{"href":2625,"rel":2626},"https:\u002F\u002Foss-ai-swe.org\u002Fopen-hands",[588],{"title":250,"searchDepth":274,"depth":274,"links":2628},[2629,2630,2631,2632,2633,2634,2635,2636,2637,2638],{"id":32,"depth":264,"text":33},{"id":52,"depth":264,"text":52},{"id":759,"depth":264,"text":760},{"id":2329,"depth":264,"text":2330},{"id":230,"depth":264,"text":230},{"id":373,"depth":264,"text":373},{"id":494,"depth":264,"text":494},{"id":531,"depth":264,"text":532},{"id":552,"depth":264,"text":552},{"id":578,"depth":264,"text":578},"\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。",[2642,2645,2648,2651],{"q":2643,"a":2644},"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":2646,"a":2647},"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":2649,"a":2650},"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":2652,"a":2653},"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",[639,640],{},[2658,2154,648],"docker",[2660,2662,2664],{"plan":651,"price":652,"seats":657,"notes":2661},"MIT，Docker 起，BYOK，单用户",{"plan":2263,"price":652,"seats":657,"notes":2663},"每日 10 会话上限，BYOK 或用 OpenHands LLM at-cost",{"plan":843,"price":169,"seats":850,"notes":2665},"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",[2668,2671],{"name":2669,"url":2670},"Legacy 代码库 AI Onboarding","\u002Fplaybook\u002Fonboarding\u002Flegacy-codebase-onboarding",{"name":2173,"url":2174},{"power":290,"ux":274,"price":303,"cn_support":290,"stability":274},{"title":1929,"description":2640},"coding\u002Fagent\u002Fopenhands",[2676,2678,2680,2682],{"name":2677,"url":2604,"accessed":680},"OpenHands 官方 pricing",{"name":2679,"url":2611,"accessed":680},"AISO Tools — OpenHands Pricing 2026",{"name":2681,"url":2618,"accessed":680},"AI Tool Finder — OpenHands Review 2026",{"name":2683,"url":2625,"accessed":680},"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）",[619,2190,688,2687,2688,2689,689],"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":2694,"title":2695,"alternatives":2696,"api_compatible":25,"body":2709,"category":619,"chinese_friendly":257,"cover":3347,"description":3348,"domestic":622,"extension":623,"faq":3349,"free":622,"github":25,"languages":3362,"meta":3363,"models":25,"navigation":642,"notSuitable":25,"opensource":642,"path":3364,"pillar":644,"platforms":3365,"priceTable":3367,"pricing":3378,"published":666,"relatedPlaybooks":3379,"relatedReviews":25,"score":3383,"self_host":642,"seo":3384,"slug":3385,"sources":3386,"stem":3395,"suitable":25,"tagline":3396,"tags":3397,"updated":680,"verdict":3403,"website":3404,"__hash__":3405},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fraga.md","RagaAI Catalyst",[2697,2700,2703,2706],{"name":2698,"url":2699},"helicone","\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone",{"name":2701,"url":2702},"portkey","\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey",{"name":2704,"url":2705},"litellm","\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm",{"name":2707,"url":2708},"langflow","\u002Ftools\u002Fagent\u002Flangflow",{"type":27,"value":2710,"toc":3335},[2711,2713,2716,2719,2722,2778,2780,2799,2805,2809,2814,2834,2839,2862,2864,2883,3035,3038,3196,3198,3248,3250,3276,3278,3300,3302,3332],[30,2712,33],{"id":32},[35,2714,2715],{},"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。",[35,2717,2718],{},"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）。",[30,2720,2721],{"id":2721},"核心能力",[57,2723,2724,2730,2736,2742,2748,2754,2760,2766,2772],{},[60,2725,2726,2729],{},[42,2727,2728],{},"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）",[60,2731,2732,2735],{},[42,2733,2734],{},"多 agent tracing","：每次 LLM \u002F tool \u002F sub-agent 调用都可追溯 + 时序回放",[60,2737,2738,2741],{},[42,2739,2740],{},"多 agent debug","：复杂 agent 失败时回放每个决策点 + 上下文",[60,2743,2744,2747],{},[42,2745,2746],{},"Python SDK","：包装 LangChain \u002F LlamaIndex \u002F 自家框架自动埋点",[60,2749,2750,2753],{},[42,2751,2752],{},"风险量化","：每个测试出风险分 + 影响面 + 修复建议",[60,2755,2756,2759],{},[42,2757,2758],{},"数据集管理","：build eval dataset + 跑 regression",[60,2761,2762,2765],{},[42,2763,2764],{},"报告 \u002F 仪表盘","：团队级风险仪表盘 + 趋势 + CI\u002FCD 集成",[60,2767,2768,2771],{},[42,2769,2770],{},"自托管 SDK + Cloud 协同","：SDK 本地跑、Cloud 集中可视化",[60,2773,2774,2777],{},[42,2775,2776],{},"合规友好","：私有部署 + SSO + 审计（Enterprise）",[30,2779,772],{"id":772},[57,2781,2782,2788,2794],{},[60,2783,2784,2787],{},[42,2785,2786],{},"Catalyst OSS Python SDK","：$0；功能含 tracing + 部分 eval",[60,2789,2790,2793],{},[42,2791,2792],{},"Cloud","：Custom（联系销售）；含全 300+ 测试库 + 仪表盘 + 协作",[60,2795,2796,2798],{},[42,2797,843],{},"：Custom + SSO + 私有部署 + SLA",[2800,2801,2802],"blockquote",{},[35,2803,2804],{},"真实场景：先用 OSS SDK 跑 trace 评估价值，进 PoC 后再谈 Cloud 价格。",[30,2806,2808],{"id":2807},"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）",[35,2810,2811],{},[42,2812,2813],{},"亮点：",[57,2815,2816,2819,2822,2825,2828,2831],{},[60,2817,2818],{},"300+ 测试库省去 reinvent 各种 eval metric 的工作",[60,2820,2821],{},"RAG faithfulness \u002F context precision 测试对反 hallucination 很有用",[60,2823,2824],{},"多 agent trace + 回放在调试复杂协作链时是救命工具",[60,2826,2827],{},"风险评分给业务方一个 quantitative 沟通口径",[60,2829,2830],{},"Catalyst SDK 开源，预算紧团队也能先用上",[60,2832,2833],{},"与 LangChain \u002F LlamaIndex 集成顺滑",[35,2835,2836],{},[42,2837,2838],{},"踩坑：",[57,2840,2841,2844,2847,2850,2853,2856,2859],{},[60,2842,2843],{},"文档对高级配置 + 自定义测试覆盖不足，社区反馈一致",[60,2845,2846],{},"Cloud 定价不透明，PoC 才能拿到报价",[60,2848,2849],{},"报告 \u002F UI 偏英文 + 印度产品风格，中文场景弱",[60,2851,2852],{},"多 agent trace 在超大调用图（>500 step）下渲染慢",[60,2854,2855],{},"测试结果质量依赖 dataset 质量，garbage in \u002F garbage out",[60,2857,2858],{},"比 Langfuse 更偏『测试』少偏『日常 observability』，两个工具有时要叠用",[60,2860,2861],{},"国内访问 Cloud 延迟 + 合规需要评估",[30,2863,230],{"id":230},[245,2865,2869],{"className":2866,"code":2867,"language":2868,"meta":250,"style":250},"language-bash shiki shiki-themes github-light github-dark","pip install ragaai-catalyst\n","bash",[79,2870,2871],{"__ignoreMap":250},[254,2872,2873,2877,2880],{"class":256,"line":257},[254,2874,2876],{"class":2875},"sScJk","pip",[254,2878,2879],{"class":283}," install",[254,2881,2882],{"class":283}," ragaai-catalyst\n",[245,2884,2888],{"className":2885,"code":2886,"language":2887,"meta":250,"style":250},"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",[79,2889,2890,2905,2910,2921,2934,2945,2955,2960,2964,2995,3000,3005,3012,3018,3023,3029],{"__ignoreMap":250},[254,2891,2892,2896,2899,2902],{"class":256,"line":257},[254,2893,2895],{"class":2894},"szBVR","from",[254,2897,2898],{"class":260}," ragaai_catalyst ",[254,2900,2901],{"class":2894},"import",[254,2903,2904],{"class":260}," RagaAICatalyst, Tracer\n",[254,2906,2907],{"class":256,"line":264},[254,2908,2909],{"emptyLinePlaceholder":642},"\n",[254,2911,2912,2915,2918],{"class":256,"line":274},[254,2913,2914],{"class":260},"catalyst ",[254,2916,2917],{"class":2894},"=",[254,2919,2920],{"class":260}," RagaAICatalyst(\n",[254,2922,2923,2927,2929,2932],{"class":256,"line":290},[254,2924,2926],{"class":2925},"s4XuR","    access_key",[254,2928,2917],{"class":2894},[254,2930,2931],{"class":283},"\"...\"",[254,2933,287],{"class":260},[254,2935,2936,2939,2941,2943],{"class":256,"line":303},[254,2937,2938],{"class":2925},"    secret_key",[254,2940,2917],{"class":2894},[254,2942,2931],{"class":283},[254,2944,287],{"class":260},[254,2946,2947,2950,2952],{"class":256,"line":316},[254,2948,2949],{"class":2925},"    base_url",[254,2951,2917],{"class":2894},[254,2953,2954],{"class":283},"\"https:\u002F\u002Fcatalyst.raga.ai\"\n",[254,2956,2957],{"class":256,"line":5},[254,2958,2959],{"class":260},")\n",[254,2961,2962],{"class":256,"line":8},[254,2963,2909],{"emptyLinePlaceholder":642},[254,2965,2966,2969,2971,2974,2977,2979,2982,2985,2988,2990,2993],{"class":256,"line":344},[254,2967,2968],{"class":260},"tracer ",[254,2970,2917],{"class":2894},[254,2972,2973],{"class":260}," Tracer(",[254,2975,2976],{"class":2925},"project_name",[254,2978,2917],{"class":2894},[254,2980,2981],{"class":283},"\"my-rag-app\"",[254,2983,2984],{"class":260},", ",[254,2986,2987],{"class":2925},"tracer_type",[254,2989,2917],{"class":2894},[254,2991,2992],{"class":283},"\"langchain\"",[254,2994,2959],{"class":260},[254,2996,2997],{"class":256,"line":7},[254,2998,2999],{"class":260},"tracer.start()\n",[254,3001,3003],{"class":256,"line":3002},11,[254,3004,2909],{"emptyLinePlaceholder":642},[254,3006,3008],{"class":256,"line":3007},12,[254,3009,3011],{"class":3010},"sJ8bj","# 你的 LangChain \u002F LlamaIndex \u002F 自家 agent 代码\n",[254,3013,3015],{"class":256,"line":3014},13,[254,3016,3017],{"class":3010},"# tracer 自动捕获 LLM \u002F tool \u002F sub-agent 调用\n",[254,3019,3021],{"class":256,"line":3020},14,[254,3022,2909],{"emptyLinePlaceholder":642},[254,3024,3026],{"class":256,"line":3025},15,[254,3027,3028],{"class":260},"tracer.stop()\n",[254,3030,3032],{"class":256,"line":3031},16,[254,3033,3034],{"class":3010},"# 登录 Catalyst Cloud 看 trace + 跑 300+ 测试\n",[30,3036,3037],{"id":3037},"对比",[105,3039,3040,3057],{},[108,3041,3042],{},[111,3043,3044,3046,3048,3051,3054],{},[114,3045,382],{},[114,3047,2695],{},[114,3049,3050],{},"Langfuse",[114,3052,3053],{},"Helicone",[114,3055,3056],{},"Portkey",[124,3058,3059,3076,3091,3106,3120,3134,3150,3163,3180],{},[111,3060,3061,3064,3067,3070,3073],{},[129,3062,3063],{},"主打",[129,3065,3066],{},"测试 + 风险量化",[129,3068,3069],{},"Tracing + eval",[129,3071,3072],{},"Proxy 观测 + gateway",[129,3074,3075],{},"Gateway + 观测",[111,3077,3078,3081,3084,3086,3089],{},[129,3079,3080],{},"自动化测试库",[129,3082,3083],{},"✅ 300+",[129,3085,440],{},[129,3087,3088],{},"浅",[129,3090,3088],{},[111,3092,3093,3096,3099,3102,3104],{},[129,3094,3095],{},"Agentic debug",[129,3097,3098],{},"✅ 强",[129,3100,3101],{},"✅ nested span",[129,3103,3088],{},[129,3105,2001],{},[111,3107,3108,3111,3113,3116,3118],{},[129,3109,3110],{},"RAG 专项测试",[129,3112,3098],{},[129,3114,3115],{},"✅ 中",[129,3117,1992],{},[129,3119,1992],{},[111,3121,3122,3125,3127,3129,3131],{},[129,3123,3124],{},"Proxy \u002F gateway",[129,3126,424],{},[129,3128,424],{},[129,3130,429],{},[129,3132,3133],{},"✅ 250+",[111,3135,3136,3139,3142,3145,3147],{},[129,3137,3138],{},"自托管 OSS",[129,3140,3141],{},"SDK 部分",[129,3143,3144],{},"✅ MIT 19K+",[129,3146,429],{},[129,3148,3149],{},"OSS Gateway only",[111,3151,3152,3155,3157,3159,3161],{},[129,3153,3154],{},"中文生态",[129,3156,424],{},[129,3158,424],{},[129,3160,424],{},[129,3162,424],{},[111,3164,3165,3168,3171,3174,3177],{},[129,3166,3167],{},"定价透明",[129,3169,3170],{},"❌ Custom",[129,3172,3173],{},"✅ $0\u002F$29\u002FEnterprise",[129,3175,3176],{},"✅ $0\u002F$79\u002F$799",[129,3178,3179],{},"✅ $0\u002F$49\u002F$799",[111,3181,3182,3184,3187,3190,3193],{},[129,3183,122],{},[129,3185,3186],{},"pre-prod testing + agentic",[129,3188,3189],{},"日常 tracing + eval",[129,3191,3192],{},"改 URL 快上手",[129,3194,3195],{},"gateway + 治理",[30,3197,494],{"id":494},[57,3199,3200,3206,3212,3218,3224,3230,3236,3242],{},[60,3201,3202,3205],{},[42,3203,3204],{},"OSS SDK ≠ 完整 Cloud","：300+ 测试库主要在 Cloud，OSS 主要 tracing + 部分 eval",[60,3207,3208,3211],{},[42,3209,3210],{},"dataset 质量决定测试质量","：建 eval dataset 时务必含 edge case \u002F adversarial 例",[60,3213,3214,3217],{},[42,3215,3216],{},"大 trace 渲染慢","：>500 step 的 agent 用 filter \u002F sampling",[60,3219,3220,3223],{},[42,3221,3222],{},"Cloud 定价 PoC 谈","：先 SDK 跑两月有数据再谈合同",[60,3225,3226,3229],{},[42,3227,3228],{},"不替代日常 observability","：复杂场景叠 Langfuse \u002F Helicone",[60,3231,3232,3235],{},[42,3233,3234],{},"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",[60,3237,3238,3241],{},[42,3239,3240],{},"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",[60,3243,3244,3247],{},[42,3245,3246],{},"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",[30,3249,532],{"id":531},[57,3251,3252,3255,3258,3261,3264,3267,3270,3273],{},[60,3253,3254],{},"✅ 生产级 agentic 系统 \u002F RAG pipeline 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