[{"data":1,"prerenderedAt":3475},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"tool-tools\u002Fcoding\u002Fagent\u002Fraga":9,"tool-stats-coding\u002Fagent\u002Fraga":783,"cat-rank-coding-agent":786,"tool-related-coding\u002Fagent\u002Fraga":3474},{"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":713,"chinese_friendly":206,"cover":714,"description":715,"domestic":716,"extension":717,"faq":718,"free":716,"github":25,"languages":731,"meta":733,"models":25,"navigation":246,"notSuitable":25,"opensource":246,"path":734,"pillar":735,"platforms":736,"priceTable":739,"pricing":752,"published":753,"relatedPlaybooks":754,"relatedReviews":25,"score":758,"self_host":246,"seo":759,"slug":760,"sources":761,"stem":771,"suitable":25,"tagline":772,"tags":773,"updated":764,"verdict":780,"website":781,"__hash__":782},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fraga.md","RagaAI Catalyst",[13,16,19,22],{"name":14,"url":15},"helicone","\u002Ftools\u002Fcoding\u002Fapi\u002Fhelicone",{"name":17,"url":18},"portkey","\u002Ftools\u002Fcoding\u002Fapi\u002Fportkey",{"name":20,"url":21},"litellm","\u002Ftools\u002Fcoding\u002Fapi\u002Flitellm",{"name":23,"url":24},"langflow","\u002Ftools\u002Fagent\u002Flangflow",null,{"type":27,"value":28,"toc":701},"minimark",[29,34,38,41,44,103,106,126,132,136,141,161,166,189,192,218,379,382,553,556,606,610,636,639,662,665,697],[30,31,33],"h2",{"id":32},"tldr","TL;DR",[35,36,37],"p",{},"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。",[35,39,40],{},"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）。",[30,42,43],{"id":43},"核心能力",[45,46,47,55,61,67,73,79,85,91,97],"ul",{},[48,49,50,54],"li",{},[51,52,53],"strong",{},"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）",[48,56,57,60],{},[51,58,59],{},"多 agent tracing","：每次 LLM \u002F tool \u002F sub-agent 调用都可追溯 + 时序回放",[48,62,63,66],{},[51,64,65],{},"多 agent debug","：复杂 agent 失败时回放每个决策点 + 上下文",[48,68,69,72],{},[51,70,71],{},"Python SDK","：包装 LangChain \u002F LlamaIndex \u002F 自家框架自动埋点",[48,74,75,78],{},[51,76,77],{},"风险量化","：每个测试出风险分 + 影响面 + 修复建议",[48,80,81,84],{},[51,82,83],{},"数据集管理","：build eval dataset + 跑 regression",[48,86,87,90],{},[51,88,89],{},"报告 \u002F 仪表盘","：团队级风险仪表盘 + 趋势 + CI\u002FCD 集成",[48,92,93,96],{},[51,94,95],{},"自托管 SDK + Cloud 协同","：SDK 本地跑、Cloud 集中可视化",[48,98,99,102],{},[51,100,101],{},"合规友好","：私有部署 + SSO + 审计（Enterprise）",[30,104,105],{"id":105},"价格",[45,107,108,114,120],{},[48,109,110,113],{},[51,111,112],{},"Catalyst OSS Python SDK","：$0；功能含 tracing + 部分 eval",[48,115,116,119],{},[51,117,118],{},"Cloud","：Custom（联系销售）；含全 300+ 测试库 + 仪表盘 + 协作",[48,121,122,125],{},[51,123,124],{},"Enterprise","：Custom + SSO + 私有部署 + SLA",[127,128,129],"blockquote",{},[35,130,131],{},"真实场景：先用 OSS SDK 跑 trace 评估价值，进 PoC 后再谈 Cloud 价格。",[30,133,135],{"id":134},"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）",[35,137,138],{},[51,139,140],{},"亮点：",[45,142,143,146,149,152,155,158],{},[48,144,145],{},"300+ 测试库省去 reinvent 各种 eval metric 的工作",[48,147,148],{},"RAG faithfulness \u002F context precision 测试对反 hallucination 很有用",[48,150,151],{},"多 agent trace + 回放在调试复杂协作链时是救命工具",[48,153,154],{},"风险评分给业务方一个 quantitative 沟通口径",[48,156,157],{},"Catalyst SDK 开源，预算紧团队也能先用上",[48,159,160],{},"与 LangChain \u002F LlamaIndex 集成顺滑",[35,162,163],{},[51,164,165],{},"踩坑：",[45,167,168,171,174,177,180,183,186],{},[48,169,170],{},"文档对高级配置 + 自定义测试覆盖不足，社区反馈一致",[48,172,173],{},"Cloud 定价不透明，PoC 才能拿到报价",[48,175,176],{},"报告 \u002F UI 偏英文 + 印度产品风格，中文场景弱",[48,178,179],{},"多 agent trace 在超大调用图（>500 step）下渲染慢",[48,181,182],{},"测试结果质量依赖 dataset 质量，garbage in \u002F garbage out",[48,184,185],{},"比 Langfuse 更偏『测试』少偏『日常 observability』，两个工具有时要叠用",[48,187,188],{},"国内访问 Cloud 延迟 + 合规需要评估",[30,190,191],{"id":191},"上手",[193,194,199],"pre",{"className":195,"code":196,"language":197,"meta":198,"style":198},"language-bash shiki shiki-themes github-light github-dark","pip install ragaai-catalyst\n","bash","",[200,201,202],"code",{"__ignoreMap":198},[203,204,207,211,215],"span",{"class":205,"line":206},"line",1,[203,208,210],{"class":209},"sScJk","pip",[203,212,214],{"class":213},"sZZnC"," install",[203,216,217],{"class":213}," ragaai-catalyst\n",[193,219,223],{"className":220,"code":221,"language":222,"meta":198,"style":198},"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",[200,224,225,241,248,260,275,287,298,303,307,339,344,349,356,362,367,373],{"__ignoreMap":198},[203,226,227,231,235,238],{"class":205,"line":206},[203,228,230],{"class":229},"szBVR","from",[203,232,234],{"class":233},"sVt8B"," ragaai_catalyst ",[203,236,237],{"class":229},"import",[203,239,240],{"class":233}," RagaAICatalyst, Tracer\n",[203,242,244],{"class":205,"line":243},2,[203,245,247],{"emptyLinePlaceholder":246},true,"\n",[203,249,251,254,257],{"class":205,"line":250},3,[203,252,253],{"class":233},"catalyst ",[203,255,256],{"class":229},"=",[203,258,259],{"class":233}," RagaAICatalyst(\n",[203,261,263,267,269,272],{"class":205,"line":262},4,[203,264,266],{"class":265},"s4XuR","    access_key",[203,268,256],{"class":229},[203,270,271],{"class":213},"\"...\"",[203,273,274],{"class":233},",\n",[203,276,278,281,283,285],{"class":205,"line":277},5,[203,279,280],{"class":265},"    secret_key",[203,282,256],{"class":229},[203,284,271],{"class":213},[203,286,274],{"class":233},[203,288,290,293,295],{"class":205,"line":289},6,[203,291,292],{"class":265},"    base_url",[203,294,256],{"class":229},[203,296,297],{"class":213},"\"https:\u002F\u002Fcatalyst.raga.ai\"\n",[203,299,300],{"class":205,"line":5},[203,301,302],{"class":233},")\n",[203,304,305],{"class":205,"line":8},[203,306,247],{"emptyLinePlaceholder":246},[203,308,310,313,315,318,321,323,326,329,332,334,337],{"class":205,"line":309},9,[203,311,312],{"class":233},"tracer ",[203,314,256],{"class":229},[203,316,317],{"class":233}," Tracer(",[203,319,320],{"class":265},"project_name",[203,322,256],{"class":229},[203,324,325],{"class":213},"\"my-rag-app\"",[203,327,328],{"class":233},", ",[203,330,331],{"class":265},"tracer_type",[203,333,256],{"class":229},[203,335,336],{"class":213},"\"langchain\"",[203,338,302],{"class":233},[203,340,341],{"class":205,"line":7},[203,342,343],{"class":233},"tracer.start()\n",[203,345,347],{"class":205,"line":346},11,[203,348,247],{"emptyLinePlaceholder":246},[203,350,352],{"class":205,"line":351},12,[203,353,355],{"class":354},"sJ8bj","# 你的 LangChain 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Custom",[412,528,529],{},"✅ $0\u002F$29\u002FEnterprise",[412,531,532],{},"✅ $0\u002F$79\u002F$799",[412,534,535],{},"✅ $0\u002F$49\u002F$799",[389,537,538,541,544,547,550],{},[412,539,540],{},"适合",[412,542,543],{},"pre-prod testing + agentic",[412,545,546],{},"日常 tracing + eval",[412,548,549],{},"改 URL 快上手",[412,551,552],{},"gateway + 治理",[30,554,555],{"id":555},"避坑",[45,557,558,564,570,576,582,588,594,600],{},[48,559,560,563],{},[51,561,562],{},"OSS SDK ≠ 完整 Cloud","：300+ 测试库主要在 Cloud，OSS 主要 tracing + 部分 eval",[48,565,566,569],{},[51,567,568],{},"dataset 质量决定测试质量","：建 eval dataset 时务必含 edge case \u002F adversarial 例",[48,571,572,575],{},[51,573,574],{},"大 trace 渲染慢","：>500 step 的 agent 用 filter \u002F sampling",[48,577,578,581],{},[51,579,580],{},"Cloud 定价 PoC 谈","：先 SDK 跑两月有数据再谈合同",[48,583,584,587],{},[51,585,586],{},"不替代日常 observability","：复杂场景叠 Langfuse \u002F Helicone",[48,589,590,593],{},[51,591,592],{},"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",[48,595,596,599],{},[51,597,598],{},"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",[48,601,602,605],{},[51,603,604],{},"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",[30,607,609],{"id":608},"适合-不适合","适合 \u002F 不适合",[45,611,612,615,618,621,624,627,630,633],{},[48,613,614],{},"✅ 生产级 agentic 系统 \u002F RAG pipeline 的中大型团队",[48,616,617],{},"✅ 金融 \u002F 医疗 \u002F 政企需要风险量化沟通",[48,619,620],{},"✅ 多 agent 协作系统需要 trace + debug",[48,622,623],{},"✅ 想把 LLM eval 从手工脚本升级成系统化平台",[48,625,626],{},"❌ 单一 LLM 调用 + 简单观测",[48,628,629],{},"❌ 预算紧 + 不要 Cloud（OSS SDK 部分能力够）",[48,631,632],{},"❌ 中文 \u002F 国内合规为主",[48,634,635],{},"❌ 不愿走企业销售流程",[30,637,638],{"id":638},"相关阅读",[45,640,641,647,652,657],{},[48,642,643],{},[644,645,646],"a",{"href":15},"Helicone 评测",[48,648,649],{},[644,650,651],{"href":18},"Portkey 评测",[48,653,654],{},[644,655,656],{"href":21},"LiteLLM 评测",[48,658,659],{},[644,660,661],{"href":24},"Langflow 评测",[30,663,664],{"id":664},"来源",[666,667,668,676,683,690],"ol",{},[48,669,670,671],{},"F6S — RagaAI Catalyst 产品概览 ",[644,672,673],{"href":673,"rel":674},"https:\u002F\u002Fwww.f6s.com\u002Fsoftware\u002Fragaai-catalyst",[675],"nofollow",[48,677,678,679],{},"AIIndigo — RagaAI Catalyst 评测 + 定价 + 替代品 2026 ",[644,680,681],{"href":681,"rel":682},"https:\u002F\u002Faiindigo.com\u002Ftool\u002Fragaai-catalyst",[675],[48,684,685,686],{},"SwitchTools — RagaAI Inc 平台（300+ 测试 \u002F 90% 风险下降）",[644,687,688],{"href":688,"rel":689},"https:\u002F\u002Fwww.switchtools.io\u002Ftool\u002Fragaai-inc",[675],[48,691,692,693],{},"SoftwareSuggest — RagaAI Details \u002F Pricing 2026 ",[644,694,695],{"href":695,"rel":696},"https:\u002F\u002Fwww.softwaresuggest.com\u002Fragaai",[675],[698,699,700],"style",{},"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 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pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}",{"title":198,"searchDepth":250,"depth":250,"links":702},[703,704,705,706,707,708,709,710,711,712],{"id":32,"depth":243,"text":33},{"id":43,"depth":243,"text":43},{"id":105,"depth":243,"text":105},{"id":134,"depth":243,"text":135},{"id":191,"depth":243,"text":191},{"id":381,"depth":243,"text":381},{"id":555,"depth":243,"text":555},{"id":608,"depth":243,"text":609},{"id":638,"depth":243,"text":638},{"id":664,"depth":243,"text":664},"agent","\u002Fimg\u002Ftools\u002Fraga.webp","RagaAI Catalyst 真实评测：印度 RagaAI 出品的 AI 测试 + 观测平台（Python SDK + 云端）。300+ 自动化测试覆盖 LLM \u002F RAG \u002F 多 agent，多 agent 系统 tracing + 调试，主打『部署前发现风险减少 90%』。F6S \u002F SoftwareSuggest \u002F SwitchTools 已收录。定价以企业销售为主，社区版 Python SDK 开源。",false,"md",[719,722,725,728],{"q":720,"a":721},"RagaAI 和 Langfuse \u002F Helicone 怎么选？","RagaAI Catalyst 把『测试』作为一等公民——300+ 自动化测试 + RAG \u002F Agent 风险量化，强调『部署前发现』。Langfuse 是 tracing + eval 双强，Helicone 是 proxy 观测 + gateway。要 agentic 系统的 pre-prod testing + 风险评分 → RagaAI；要日常 LLM trace \u002F 简单 eval → Langfuse；要改 baseURL 看 cost → Helicone。",{"q":723,"a":724},"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":726,"a":727},"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":729,"a":730},"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。",[732],"en",{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fraga","coding",[222,737,738],"sdk","cloud",[740,745,749],{"plan":741,"price":742,"features":743,"notes":744},"Catalyst OSS","$0","Python SDK + agent \u002F LLM \u002F tool tracing + 多 agent debug + 部分 eval","github.com\u002Fraga-ai-hub\u002FRagaAI-Catalyst",{"plan":118,"price":746,"features":747,"notes":748},"Custom","300+ 自动化测试库 + RAG \u002F LLM \u002F Agentic 全景 + 报告 \u002F 仪表盘 + 协作","联系销售",{"plan":124,"price":746,"features":750,"notes":751},"SSO + 私有部署 + 合规 + SLA + 专属支持","大型 \u002F 受监管","Catalyst Python SDK 开源 \u002F Cloud Enterprise 定制","2026-06-19",[755],{"name":756,"url":757},"RAG Pipeline 搭建","\u002Fplaybook\u002Fonboarding\u002Frag-pipeline-build",{"power":277,"ux":250,"price":250,"cn_support":206,"stability":262},{"title":11,"description":715},"coding\u002Fagent\u002Fraga",[762,765,767,769],{"name":763,"url":673,"accessed":764},"F6S — RagaAI Catalyst 概览","2026-06-24",{"name":766,"url":681,"accessed":764},"AIIndigo — RagaAI Catalyst 评测 2026",{"name":768,"url":688,"accessed":764},"SwitchTools — RagaAI Inc 平台 + 90% 风险下降",{"name":770,"url":695,"accessed":764},"SoftwareSuggest — RagaAI Details 2026","tools\u002Fcoding\u002Fagent\u002Fraga","AI agent 测试 + 观测平台——300+ 自动化测试覆盖 LLM\u002FRAG\u002FAgentic，量化『生产风险 -90%』",[774,775,776,777,778,779],"agent-testing","llm-eval","rag-testing","observability","tracing","opensource","agentic AI 系统的『生产前测试 + 上线后观测』专项工具。要 300+ 测试库 + 多 agent debug 走 Raga；要简单 LLM trace 用 Langfuse \u002F Helicone；要网关 + 治理用 Portkey。中文 \u002F 国内场景生态弱。","https:\u002F\u002Fraga.ai","uikrADibWuYVD91fdcYfiUl3oUMg_fFs5rTRWBo1ekQ",{"ok":246,"slug":784,"viewCount":785,"clickCount":785,"avgRating":785,"ratingCount":785},"coding%2Fagent%2Fraga",0,[787,1325,1939,2471,2968],{"id":788,"title":789,"alternatives":790,"api_compatible":25,"body":802,"category":713,"chinese_friendly":243,"cover":1264,"description":1265,"domestic":716,"extension":717,"faq":1266,"free":716,"github":25,"languages":1279,"meta":1280,"models":25,"navigation":246,"notSuitable":25,"opensource":716,"path":1281,"pillar":735,"platforms":1282,"priceTable":1286,"pricing":1297,"published":753,"relatedPlaybooks":1298,"relatedReviews":25,"score":1305,"self_host":716,"seo":1306,"slug":1307,"sources":1308,"stem":1315,"suitable":25,"tagline":1316,"tags":1317,"updated":764,"verdict":1322,"website":1323,"__hash__":1324},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Faugment.md","Augment Code",[791,794,797,800],{"name":792,"url":793},"github-copilot","\u002Ftools\u002Fcoding\u002Fcopilot\u002Fgithub-copilot",{"name":795,"url":796},"cursor","\u002Ftools\u002Fcoding\u002Fide\u002Fcursor",{"name":798,"url":799},"claude-code","\u002Ftools\u002Fcoding\u002Fcli\u002Fclaude-code",{"name":801,"url":793},"tabnine",{"type":27,"value":803,"toc":1252},[804,806,813,816,819,822,842,849,853,945,951,968,971,975,981,995,1000,1017,1019,1043,1046,1146,1148,1180,1182,1202,1204,1227,1229],[30,805,33],{"id":32},[35,807,808,809,812],{},"Augment Code 是企业级 AI 编程平台，最大差异点是 ",[51,810,811],{},"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。",[35,814,815],{},"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）。",[30,817,818],{"id":818},"它是什么",[35,820,821],{},"Augment 把 AI 编程产品拆成三件套：",[666,823,824,830,836],{},[48,825,826,829],{},[51,827,828],{},"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。",[48,831,832,835],{},[51,833,834],{},"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。",[48,837,838,841],{},[51,839,840],{},"Auggie CLI + Async Cloud Agent","：terminal 里跑同步任务，或扔到 Cloud（Cosmos sandbox）异步跑大任务。",[35,843,844,845,848],{},"底层 LLM 走 ",[51,846,847],{},"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%。",[30,850,852],{"id":851},"价格2026-06","价格（2026-06）",[383,854,855,873],{},[386,856,857],{},[389,858,859,862,864,867,870],{},[392,860,861],{},"Plan",[392,863,105],{},[392,865,866],{},"Credits",[392,868,869],{},"团队规模",[392,871,872],{},"适用",[407,874,875,894,913,931],{},[389,876,877,882,885,888,891],{},[412,878,879],{},[51,880,881],{},"Indie",[412,883,884],{},"$20\u002F月",[412,886,887],{},"40k",[412,889,890],{},"1",[412,892,893],{},"个人开发者",[389,895,896,901,904,907,910],{},[412,897,898],{},[51,899,900],{},"Standard",[412,902,903],{},"$60\u002F席\u002F月",[412,905,906],{},"130k\u002F席（池化）",[412,908,909],{},"≤20",[412,911,912],{},"中小生产团队",[389,914,915,920,923,926,928],{},[412,916,917],{},[51,918,919],{},"Max",[412,921,922],{},"$200\u002F席\u002F月",[412,924,925],{},"450k\u002F席（池化）",[412,927,909],{},[412,929,930],{},"重度 + 异步任务多",[389,932,933,935,937,939,942],{},[412,934,124],{},[412,936,746],{},[412,938,746],{},[412,940,941],{},"∞",[412,943,944],{},"大型企业",[35,946,947,950],{},[51,948,949],{},"credits 单价","（一次中等任务）：",[45,952,953,956,959,962,965],{},[48,954,955],{},"Haiku 4.5：~88 credits",[48,957,958],{},"Sonnet 4.6：~293 credits",[48,960,961],{},"Opus 4.7：~488 credits",[48,963,964],{},"Gemini 3.1 Pro：~268 credits",[48,966,967],{},"GPT-5.1：~219 credits",[35,969,970],{},"超额 top-up：$15 \u002F 24k credits（≈ 80 次 Sonnet 任务）。Cosmos cloud sandbox 另算 300 credits\u002F小时。",[30,972,974],{"id":973},"实测在-80-万行-go-typescript-monorepo-上","实测（在 ~80 万行 Go + TypeScript monorepo 上）",[35,976,977,980],{},[51,978,979],{},"亮点","：",[45,982,983,986,989,992],{},[48,984,985],{},"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",[48,987,988],{},"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",[48,990,991],{},"Auggie CLI 配合 Slack 用很顺——丢个任务、等 PR",[48,993,994],{},"SOC 2 Type II 合规对企业采购友好",[35,996,997,980],{},[51,998,999],{},"踩坑",[45,1001,1002,1005,1008,1011,1014],{},[48,1003,1004],{},"索引初始化慢：80 万行项目首次扫了约 40 分钟",[48,1006,1007],{},"credit 烧得快：用 Opus 跑复杂任务，单天烧掉 $30+ credits 不稀奇",[48,1009,1010],{},"中文几乎不支持：UI 英文，prompt 中文回英文 + 偶尔识别错关键词",[48,1012,1013],{},"国内访问偶发抖动（CDN 美国）",[48,1015,1016],{},"小项目用不出 Context Engine 优势——和 Cursor 没差别但贵 3 倍",[30,1018,191],{"id":191},[666,1020,1021,1024,1027,1030,1033,1036],{},[48,1022,1023],{},"augmentcode.com 注册（GitHub OAuth），Indie 起付 $20",[48,1025,1026],{},"VS Code \u002F JetBrains 装 Augment 扩展，登录账号",[48,1028,1029],{},"选要 onboard 的 repo（个人 1 个、Standard 起 unlimited）",[48,1031,1032],{},"等首次索引（10 分钟–1 小时取决于规模）",[48,1034,1035],{},"Chat 模式让它 explore 仓库；Agent 模式让它做改动",[48,1037,1038,1039,1042],{},"进阶：装 Auggie CLI（",[200,1040,1041],{},"npm i -g @augmentcode\u002Fauggie","），terminal 里用",[30,1044,1045],{"id":1045},"对比一览",[383,1047,1048,1066],{},[386,1049,1050],{},[389,1051,1052,1054,1057,1060,1063],{},[392,1053,394],{},[392,1055,1056],{},"Augment",[392,1058,1059],{},"Cursor",[392,1061,1062],{},"Copilot Enterprise",[392,1064,1065],{},"Claude Code",[407,1067,1068,1085,1102,1115,1131],{},[389,1069,1070,1073,1076,1079,1082],{},[412,1071,1072],{},"Context 覆盖",[412,1074,1075],{},"整个 monorepo + 跨仓",[412,1077,1078],{},"单仓库 + 文件 @",[412,1080,1081],{},"单仓库 + indexing",[412,1083,1084],{},"单仓 + 上下文",[389,1086,1087,1090,1093,1096,1099],{},[412,1088,1089],{},"起步价（团队）",[412,1091,1092],{},"$60\u002F席",[412,1094,1095],{},"$40\u002F席（Business）",[412,1097,1098],{},"$39\u002F席",[412,1100,1101],{},"$20\u002F账号",[389,1103,1104,1107,1109,1111,1113],{},[412,1105,1106],{},"Async cloud agent",[412,1108,486],{},[412,1110,437],{},[412,1112,481],{},[412,1114,481],{},[389,1116,1117,1120,1123,1126,1129],{},[412,1118,1119],{},"合规",[412,1121,1122],{},"SOC 2 II ✅",[412,1124,1125],{},"SOC 2 ✅",[412,1127,1128],{},"SOC 2 + GDPR ✅",[412,1130,1125],{},[389,1132,1133,1136,1139,1142,1144],{},[412,1134,1135],{},"中文",[412,1137,1138],{},"2\u002F5",[412,1140,1141],{},"3\u002F5",[412,1143,1141],{},[412,1145,1141],{},[30,1147,555],{"id":555},[45,1149,1150,1156,1162,1168,1174],{},[48,1151,1152,1155],{},[51,1153,1154],{},"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",[48,1157,1158,1161],{},[51,1159,1160],{},"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",[48,1163,1164,1167],{},[51,1165,1166],{},"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",[48,1169,1170,1173],{},[51,1171,1172],{},"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",[48,1175,1176,1179],{},[51,1177,1178],{},"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",[30,1181,609],{"id":608},[45,1183,1184,1187,1190,1193,1196,1199],{},[48,1185,1186],{},"✅ 海外大型工程团队、monorepo > 30 万行",[48,1188,1189],{},"✅ 合规严（金融 \u002F 医疗），需要 SOC 2 + 审计",[48,1191,1192],{},"✅ 多仓库强引用，希望 agent 跨仓改代码",[48,1194,1195],{},"❌ 个人开发者 \u002F 创业初期小项目",[48,1197,1198],{},"❌ 主语言为中文的国内团队",[48,1200,1201],{},"❌ 预算敏感（同样钱够 3 个 Cursor 席位）",[30,1203,638],{"id":638},[45,1205,1206,1211,1216,1221],{},[48,1207,1208],{},[644,1209,1210],{"href":793},"GitHub Copilot 评测",[48,1212,1213],{},[644,1214,1215],{"href":796},"Cursor 评测",[48,1217,1218],{},[644,1219,1220],{"href":799},"Claude Code 评测",[48,1222,1223],{},[644,1224,1226],{"href":1225},"\u002Ftools\u002Fcoding\u002Fcli\u002Fcline","Cline 评测",[30,1228,664],{"id":664},[666,1230,1231,1238,1245],{},[48,1232,1233,1234],{},"AgentDeals — Augment Code Pricing 2026（2026-06-06）",[644,1235,1236],{"href":1236,"rel":1237},"https:\u002F\u002Fagentdeals.dev\u002Fvendor\u002Faugment-code",[675],[48,1239,1240,1241],{},"CheckThat.ai — Augment Code Pricing & TCO（2026-03-30）",[644,1242,1243],{"href":1243,"rel":1244},"https:\u002F\u002Fcheckthat.ai\u002Fbrands\u002Faugment-code\u002Fpricing",[675],[48,1246,1247,1248],{},"UsagePricing — Augment Code Blueprint（2026-06-02）",[644,1249,1250],{"href":1250,"rel":1251},"https:\u002F\u002Fwww.usagepricing.com\u002Fblueprint\u002Faugment-code",[675],{"title":198,"searchDepth":250,"depth":250,"links":1253},[1254,1255,1256,1257,1258,1259,1260,1261,1262,1263],{"id":32,"depth":243,"text":33},{"id":818,"depth":243,"text":818},{"id":851,"depth":243,"text":852},{"id":973,"depth":243,"text":974},{"id":191,"depth":243,"text":191},{"id":1045,"depth":243,"text":1045},{"id":555,"depth":243,"text":555},{"id":608,"depth":243,"text":609},{"id":638,"depth":243,"text":638},{"id":664,"depth":243,"text":664},"\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。",[1267,1270,1273,1276],{"q":1268,"a":1269},"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":1271,"a":1272},"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":1274,"a":1275},"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":1277,"a":1278},"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。",[732],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Faugment",[1283,1284,1285],"vscode","jetbrains","cli",[1287,1289,1292,1295],{"plan":881,"price":884,"seats":890,"credits":887,"notes":1288},"解决方案给个人开发者，每月 40K credits 池",{"plan":900,"price":903,"seats":909,"credits":1290,"notes":1291},"130k\u002F席","团队池化、共享 agent、SOC 2",{"plan":919,"price":922,"seats":909,"credits":1293,"notes":1294},"450k\u002F席","重度任务、async cloud agent 优先",{"plan":124,"price":746,"seats":941,"credits":746,"notes":1296},"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",[1299,1302],{"name":1300,"url":1301},"大型重构 + AI Agent 实战","\u002Fplaybook\u002Frefactor\u002Flarge-refactor-with-ai-agent",{"name":1303,"url":1304},"Context Engineering Wiki","\u002Fwiki\u002Fcontext-engineering",{"power":277,"ux":262,"price":243,"cn_support":243,"stability":262},{"title":789,"description":1265},"coding\u002Fagent\u002Faugment",[1309,1311,1313],{"name":1310,"url":1236,"accessed":764},"AgentDeals — Augment Code Pricing 2026",{"name":1312,"url":1243,"accessed":764},"CheckThat.ai — Augment Code Pricing & TCO",{"name":1314,"url":1250,"accessed":764},"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",[1318,1319,1320,713,1285,1321],"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":1326,"title":1327,"alternatives":1328,"api_compatible":25,"body":1338,"category":713,"chinese_friendly":262,"cover":1878,"description":1879,"domestic":716,"extension":717,"faq":1880,"free":716,"github":1893,"languages":1894,"meta":1896,"models":25,"navigation":246,"notSuitable":25,"opensource":246,"path":1897,"pillar":735,"platforms":1898,"priceTable":1899,"pricing":1913,"published":753,"relatedPlaybooks":1914,"relatedReviews":25,"score":1921,"self_host":246,"seo":1922,"slug":1923,"sources":1924,"stem":1931,"suitable":25,"tagline":1932,"tags":1933,"updated":764,"verdict":1936,"website":1937,"__hash__":1938},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue.md","Continue.dev",[1329,1330,1332,1335],{"name":795,"url":796},{"name":1331,"url":1225},"cline",{"name":1333,"url":1334},"aider","\u002Ftools\u002Fcoding\u002Fcli\u002Faider",{"name":1336,"url":1337},"roo-code","\u002Ftools\u002Fcoding\u002Fcli\u002Froo-code",{"type":27,"value":1339,"toc":1866},[1340,1342,1345,1356,1358,1361,1395,1402,1406,1467,1470,1473,1478,1499,1503,1520,1522,1647,1649,1761,1763,1797,1799,1816,1818,1838,1840,1863],[30,1341,33],{"id":32},[35,1343,1344],{},"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。",[35,1346,1347,1348,1351,1352,1355],{},"2026 年的剧情转折：",[51,1349,1350],{},"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。",[51,1353,1354],{},"短期内开源版仍是 BYOK \u002F 自托管的最佳选择","。",[30,1357,818],{"id":818},[35,1359,1360],{},"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：",[45,1362,1363,1369,1375,1389],{},[48,1364,1365,1368],{},[51,1366,1367],{},"Autocomplete","：行内 ghost text 补全（轻量模型如 DeepSeek Coder、Qwen Coder）",[48,1370,1371,1374],{},[51,1372,1373],{},"Edit","：选中代码 → 自然语言指令 → 替换",[48,1376,1377,1380,1381,1384,1385,1388],{},[51,1378,1379],{},"Chat","：侧边栏对话，带 ",[200,1382,1383],{},"@file"," \u002F ",[200,1386,1387],{},"@codebase"," 上下文",[48,1390,1391,1394],{},[51,1392,1393],{},"Agent","：通过 MCP 连外部工具，能跑命令 \u002F 读 DB \u002F 调 API",[35,1396,1397,1398,1401],{},"最大卖点是",[51,1399,1400],{},"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。",[30,1403,1405],{"id":1404},"价格2026-年-6-月","价格（2026 年 6 月）",[383,1407,1408,1420],{},[386,1409,1410],{},[389,1411,1412,1415,1418],{},[392,1413,1414],{},"路径",[392,1416,1417],{},"成本",[392,1419,540],{},[407,1421,1422,1435,1446,1457],{},[389,1423,1424,1429,1432],{},[412,1425,1426],{},[51,1427,1428],{},"OSS + BYOK 自托管",[412,1430,1431],{},"$0 + LLM API 自付",[412,1433,1434],{},"个人、隐私敏感、合规场景",[389,1436,1437,1440,1443],{},[412,1438,1439],{},"Hub Starter",[412,1441,1442],{},"$3 \u002F M tokens（PAYG）",[412,1444,1445],{},"不想自己管 key 的轻度用户",[389,1447,1448,1451,1454],{},[412,1449,1450],{},"Hub Team",[412,1452,1453],{},"$20\u002F席\u002F月（含 $10 credits）",[412,1455,1456],{},"小团队、需私有 agent",[389,1458,1459,1462,1464],{},[412,1460,1461],{},"Hub Company",[412,1463,746],{},[412,1465,1466],{},"企业、BYOK + SSO",[35,1468,1469],{},"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。",[30,1471,1472],{"id":1472},"实测",[35,1474,1475,980],{},[51,1476,1477],{},"好的地方",[45,1479,1480,1483,1486,1489,1496],{},[48,1481,1482],{},"BYOK 灵活：白天用 Claude 3.5 干活、晚上切 DeepSeek 省钱、Sensitive 项目走 Ollama 本地",[48,1484,1485],{},"VS Code \u002F JetBrains 原生扩展，不用换 IDE",[48,1487,1488],{},"MCP agent 模式可定制——接自家内部 API 当 tool",[48,1490,1491,1492,1495],{},"配置走 ",[200,1493,1494],{},"config.json","，纯文本 + 可 git 管理 \u002F 团队共享",[48,1497,1498],{},"国内可直连 DeepSeek \u002F 通义 \u002F Kimi \u002F GLM endpoint，无墙",[35,1500,1501,980],{},[51,1502,999],{},[45,1504,1505,1508,1511,1514,1517],{},[48,1506,1507],{},"默认配置门槛：BYOK 第一次配 5+ 个字段（model \u002F provider \u002F api_base \u002F context length）",[48,1509,1510],{},"Autocomplete 延迟比 Cursor 高（取决于你选的模型 \u002F endpoint 距离）",[48,1512,1513],{},"被 Cursor 收购后，新功能节奏明显放缓",[48,1515,1516],{},"Agent 模式（MCP）配置文档零散，需要踩坑",[48,1518,1519],{},"嵌入式 Web preview \u002F 内置 diff UI 不如 Cursor 精致",[30,1521,191],{"id":191},[666,1523,1524,1527,1624,1631,1644],{},[48,1525,1526],{},"VS Code → 装 \"Continue\" 扩展（或 JetBrains plugin）",[48,1528,1529,1530,1533,1534],{},"编辑 ",[200,1531,1532],{},"~\u002F.continue\u002Fconfig.json"," 配 model：\n",[193,1535,1539],{"className":1536,"code":1537,"language":1538,"meta":198,"style":198},"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",[200,1540,1541,1546,1555,1568,1580,1592,1604,1614,1619],{"__ignoreMap":198},[203,1542,1543],{"class":205,"line":206},[203,1544,1545],{"class":233},"{\n",[203,1547,1548,1552],{"class":205,"line":243},[203,1549,1551],{"class":1550},"sj4cs","  \"models\"",[203,1553,1554],{"class":233},": [{\n",[203,1556,1557,1560,1563,1566],{"class":205,"line":250},[203,1558,1559],{"class":1550},"    \"title\"",[203,1561,1562],{"class":233},": ",[203,1564,1565],{"class":213},"\"DeepSeek V3\"",[203,1567,274],{"class":233},[203,1569,1570,1573,1575,1578],{"class":205,"line":262},[203,1571,1572],{"class":1550},"    \"provider\"",[203,1574,1562],{"class":233},[203,1576,1577],{"class":213},"\"openai\"",[203,1579,274],{"class":233},[203,1581,1582,1585,1587,1590],{"class":205,"line":277},[203,1583,1584],{"class":1550},"    \"model\"",[203,1586,1562],{"class":233},[203,1588,1589],{"class":213},"\"deepseek-chat\"",[203,1591,274],{"class":233},[203,1593,1594,1597,1599,1602],{"class":205,"line":289},[203,1595,1596],{"class":1550},"    \"apiBase\"",[203,1598,1562],{"class":233},[203,1600,1601],{"class":213},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[203,1603,274],{"class":233},[203,1605,1606,1609,1611],{"class":205,"line":5},[203,1607,1608],{"class":1550},"    \"apiKey\"",[203,1610,1562],{"class":233},[203,1612,1613],{"class":213},"\"sk-xxx\"\n",[203,1615,1616],{"class":205,"line":8},[203,1617,1618],{"class":233},"  }]\n",[203,1620,1621],{"class":205,"line":309},[203,1622,1623],{"class":233},"}\n",[48,1625,1626,1627,1630],{},"配 ",[200,1628,1629],{},"tabAutocompleteModel","（推荐 DeepSeek Coder 或 Qwen Coder）",[48,1632,1633,1636,1637,1640,1641,1643],{},[200,1634,1635],{},"Ctrl+I"," Edit、",[200,1638,1639],{},"Ctrl+L"," Chat、",[200,1642,1387],{}," 全库检索",[48,1645,1646],{},"进阶：装 MCP server（filesystem、postgres、github）让 Agent 用",[30,1648,1045],{"id":1045},[383,1650,1651,1668],{},[386,1652,1653],{},[389,1654,1655,1657,1660,1662,1665],{},[392,1656,394],{},[392,1658,1659],{},"Continue",[392,1661,1059],{},[392,1663,1664],{},"Cline",[392,1666,1667],{},"Aider",[407,1669,1670,1687,1701,1715,1732,1747],{},[389,1671,1672,1675,1678,1681,1684],{},[412,1673,1674],{},"形态",[412,1676,1677],{},"VS Code\u002FJB 扩展",[412,1679,1680],{},"IDE fork",[412,1682,1683],{},"VS Code 扩展",[412,1685,1686],{},"CLI",[389,1688,1689,1692,1695,1697,1699],{},[412,1690,1691],{},"开源",[412,1693,1694],{},"Apache 2.0 ✅",[412,1696,481],{},[412,1698,1694],{},[412,1700,486],{},[389,1702,1703,1706,1709,1711,1713],{},[412,1704,1705],{},"BYOK",[412,1707,1708],{},"任意模型",[412,1710,437],{},[412,1712,1708],{},[412,1714,1708],{},[389,1716,1717,1720,1723,1726,1729],{},[412,1718,1719],{},"主要模式",[412,1721,1722],{},"Autocomplete + Chat + Agent",[412,1724,1725],{},"全套",[412,1727,1728],{},"Agent 为主",[412,1730,1731],{},"CLI Edit",[389,1733,1734,1737,1740,1743,1745],{},[412,1735,1736],{},"月成本",[412,1738,1739],{},"$0 + API",[412,1741,1742],{},"$20+",[412,1744,1739],{},[412,1746,1739],{},[389,1748,1749,1752,1755,1757,1759],{},[412,1750,1751],{},"中文友好",[412,1753,1754],{},"4\u002F5",[412,1756,1141],{},[412,1758,1754],{},[412,1760,1141],{},[30,1762,555],{"id":555},[45,1764,1765,1771,1777,1785,1791],{},[48,1766,1767,1770],{},[51,1768,1769],{},"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",[48,1772,1773,1776],{},[51,1774,1775],{},"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",[48,1778,1779,1784],{},[51,1780,1781,1783],{},[200,1782,1387],{}," 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",[48,1786,1787,1790],{},[51,1788,1789],{},"MCP server 慎装","：第三方 MCP 等于给 LLM 一把 shell 钥匙，先看代码再启用",[48,1792,1793,1796],{},[51,1794,1795],{},"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」",[30,1798,609],{"id":608},[45,1800,1801,1804,1807,1810,1813],{},[48,1802,1803],{},"✅ 想要 Cursor 体验但坚持开源 \u002F BYOK 的开发者",[48,1805,1806],{},"✅ 合规 \u002F 隐私敏感场景（本地 Ollama 推理）",[48,1808,1809],{},"✅ 国内开发者（直连 DeepSeek \u002F 通义不被墙）",[48,1811,1812],{},"❌ 嫌配置麻烦、想开箱即用 → 选 Cursor",[48,1814,1815],{},"❌ 需要完整 IDE 体验（多窗口、文件树、Composer 全套）→ 选 Cursor",[30,1817,638],{"id":638},[45,1819,1820,1824,1828,1833],{},[48,1821,1822],{},[644,1823,1215],{"href":796},[48,1825,1826],{},[644,1827,1226],{"href":1225},[48,1829,1830],{},[644,1831,1832],{"href":1334},"Aider 评测",[48,1834,1835],{},[644,1836,1837],{"href":1337},"Roo Code 评测",[30,1839,664],{"id":664},[666,1841,1842,1849,1856],{},[48,1843,1844,1845],{},"Continue.dev 官方 pricing 页（含 Cursor 收购公告）",[644,1846,1847],{"href":1847,"rel":1848},"https:\u002F\u002Fwww.continue.dev\u002Fpricing",[675],[48,1850,1851,1852],{},"Milestone — Continue.dev features & pricing（2026-04-21）",[644,1853,1854],{"href":1854,"rel":1855},"https:\u002F\u002Fmstone.ai\u002Ftools-wizard\u002Fcontinue-dev-features-pricing",[675],[48,1857,1858,1859],{},"AIProductivity — Continue Pricing 2026 ",[644,1860,1861],{"href":1861,"rel":1862},"https:\u002F\u002Faiproductivity.ai\u002Fpricing\u002Fcontinue\u002F",[675],[698,1864,1865],{},"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":198,"searchDepth":250,"depth":250,"links":1867},[1868,1869,1870,1871,1872,1873,1874,1875,1876,1877],{"id":32,"depth":243,"text":33},{"id":818,"depth":243,"text":818},{"id":1404,"depth":243,"text":1405},{"id":1472,"depth":243,"text":1472},{"id":191,"depth":243,"text":191},{"id":1045,"depth":243,"text":1045},{"id":555,"depth":243,"text":555},{"id":608,"depth":243,"text":609},{"id":638,"depth":243,"text":638},{"id":664,"depth":243,"text":664},"\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。",[1881,1884,1887,1890],{"q":1882,"a":1883},"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":1885,"a":1886},"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":1888,"a":1889},"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":1891,"a":1892},"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",[1895,732],"zh",{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fcontinue",[1283,1284,1285],[1900,1904,1907,1911],{"plan":1901,"price":742,"seats":1902,"notes":1903},"OSS 自托管","—","BYOK，自付 LLM API 费，Apache 2.0",{"plan":1439,"price":1905,"seats":890,"notes":1906},"$3\u002FM tokens","PAYG，托管模型 + 共享 agent",{"plan":1450,"price":1908,"seats":1909,"notes":1910},"$20\u002F席\u002F月","≥2","$10 credits\u002F席、SSO、私有 agent",{"plan":1461,"price":746,"seats":1902,"notes":1912},"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",[1915,1918],{"name":1916,"url":1917},"Cursor MCP 数据库集成","\u002Fplaybook\u002Fonboarding\u002Fcursor-mcp-database",{"name":1919,"url":1920},"MCP 协议入门 Wiki","\u002Fwiki\u002Fmcp",{"power":262,"ux":262,"price":277,"cn_support":262,"stability":262},{"title":1327,"description":1879},"coding\u002Fagent\u002Fcontinue",[1925,1927,1929],{"name":1926,"url":1847,"accessed":764},"Continue.dev 官方 pricing 页（收购公告）",{"name":1928,"url":1854,"accessed":764},"Milestone — Continue.dev features & pricing",{"name":1930,"url":1861,"accessed":764},"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",[779,1934,1283,1284,713,1935],"byok","extension","想要 Cursor 体验但不被锁定的开发者首选——Apache 2.0 + 任意模型 + 自托管。被 Cursor 收购后，开源仓库还在，社区版长期可用。","https:\u002F\u002Fwww.continue.dev","p0EKNU0ZiqVYUuPhE6TfcxmhgKGc_gv89PviAWVJXWw",{"id":1940,"title":1941,"alternatives":1942,"api_compatible":25,"body":1950,"category":713,"chinese_friendly":243,"cover":2411,"description":2412,"domestic":716,"extension":717,"faq":2413,"free":716,"github":25,"languages":2426,"meta":2427,"models":25,"navigation":246,"notSuitable":25,"opensource":716,"path":2428,"pillar":735,"platforms":2429,"priceTable":2431,"pricing":2442,"published":753,"relatedPlaybooks":2443,"relatedReviews":25,"score":2450,"self_host":716,"seo":2451,"slug":2452,"sources":2453,"stem":2462,"suitable":25,"tagline":2463,"tags":2464,"updated":764,"verdict":2468,"website":2469,"__hash__":2470},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin.md","Devin",[1943,1946,1949],{"name":1944,"url":1945},"openhands","\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands",{"name":1947,"url":1948},"manus","\u002Ftools\u002Fagent\u002Fgeneral\u002Fmanus",{"name":798,"url":799},{"type":27,"value":1951,"toc":2399},[1952,1954,1957,1960,1962,1965,1989,1992,1996,2001,2071,2076,2130,2133,2135,2139,2153,2157,2174,2176,2193,2195,2294,2296,2327,2329,2346,2348,2367,2369],[30,1953,33],{"id":32},[35,1955,1956],{},"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。",[35,1958,1959],{},"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。",[30,1961,818],{"id":818},[35,1963,1964],{},"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：",[666,1966,1967,1974,1980,1983,1986],{},[48,1968,1969,1970,1973],{},"进 sandbox、",[200,1971,1972],{},"git clone"," 仓库、看 README、构建 Devin Wiki",[48,1975,1976,1979],{},[51,1977,1978],{},"Interactive Planning","：跟你确认实现方案",[48,1981,1982],{},"写代码、跑测试、调浏览器看结果",[48,1984,1985],{},"失败自己排查、改、再试（带 citations 引用代码行）",[48,1987,1988],{},"提 PR、回 Slack「搞定」",[35,1990,1991],{},"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。",[30,1993,1995],{"id":1994},"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）",[35,1997,1998],{},[51,1999,2000],{},"Cloud Devin（按 ACU 计费）",[383,2002,2003,2021],{},[386,2004,2005],{},[389,2006,2007,2009,2012,2015,2018],{},[392,2008,861],{},[392,2010,2011],{},"月费",[392,2013,2014],{},"ACU 价",[392,2016,2017],{},"并发",[392,2019,2020],{},"关键能力",[407,2022,2023,2042,2058],{},[389,2024,2025,2030,2033,2036,2039],{},[412,2026,2027],{},[51,2028,2029],{},"Core",[412,2031,2032],{},"$20 起步（PAYG）",[412,2034,2035],{},"$2.25\u002FACU",[412,2037,2038],{},"10",[412,2040,2041],{},"Devin IDE、Ask Devin、Wiki",[389,2043,2044,2047,2050,2053,2055],{},[412,2045,2046],{},"Team",[412,2048,2049],{},"$500 含 250 ACU",[412,2051,2052],{},"$2\u002FACU（含内）",[412,2054,941],{},[412,2056,2057],{},"API、专属 Slack 频道、early access",[389,2059,2060,2062,2064,2066,2068],{},[412,2061,124],{},[412,2063,746],{},[412,2065,746],{},[412,2067,941],{},[412,2069,2070],{},"VPC、SSO、Custom Devins",[35,2072,2073],{},[51,2074,2075],{},"Devin Desktop（2026-06 Windsurf 改名后）",[383,2077,2078,2088],{},[386,2079,2080],{},[389,2081,2082,2084,2086],{},[392,2083,861],{},[392,2085,105],{},[392,2087,872],{},[407,2089,2090,2100,2109,2119],{},[389,2091,2092,2095,2097],{},[412,2093,2094],{},"Free",[412,2096,742],{},[412,2098,2099],{},"轻量配额",[389,2101,2102,2105,2107],{},[412,2103,2104],{},"Pro",[412,2106,884],{},[412,2108,893],{},[389,2110,2111,2113,2116],{},[412,2112,919],{},[412,2114,2115],{},"$200\u002F月",[412,2117,2118],{},"重度用户",[389,2120,2121,2124,2127],{},[412,2122,2123],{},"Teams",[412,2125,2126],{},"$80\u002F月 + $40\u002F席",[412,2128,2129],{},"团队",[35,2131,2132],{},"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。",[30,2134,1472],{"id":1472},[35,2136,2137,980],{},[51,2138,1477],{},[45,2140,2141,2144,2147,2150],{},[48,2142,2143],{},"单次任务交付质量稳定——比早期 demo 时代靠谱多了",[48,2145,2146],{},"Devin Wiki 自动生成的代码库地图很有用",[48,2148,2149],{},"多并发：开 5 个 Devin 同时干 5 个独立 bug，效率拉满",[48,2151,2152],{},"Interactive Planning 让你能纠偏，不会写到一半发现方向错",[35,2154,2155,980],{},[51,2156,999],{},[45,2158,2159,2162,2165,2168,2171],{},[48,2160,2161],{},"ACU 烧得快——一次 Devin 跑歪 + 自我修复循环可能 2-3 ACU 没了",[48,2163,2164],{},"中文几乎不能用——Cognition 没做本地化，prompt 中文也回英文",[48,2166,2167],{},"国内开发者用：网络 + 价格 + 中文三重劝退，建议看 OpenHands \u002F Manus",[48,2169,2170],{},"复杂上下文（10w 行老代码）依然容易迷失，需要人辅助拆任务",[48,2172,2173],{},"Free trial 没有，最低要先付 $20 才能试",[30,2175,191],{"id":191},[666,2177,2178,2181,2184,2187,2190],{},[48,2179,2180],{},"devin.ai 注册（GitHub OAuth），充值 $20 拿到 9 ACU",[48,2182,2183],{},"连接 GitHub repo + 选触发方式（Linear\u002FSlack\u002FWeb）",[48,2185,2186],{},"给一个 issue + 验收标准（越具体越省 ACU）",[48,2188,2189],{},"Interactive Planning：审一遍方案",[48,2191,2192],{},"Devin 自动跑、PR 自动开、等 review",[30,2194,1045],{"id":1045},[383,2196,2197,2213],{},[386,2198,2199],{},[389,2200,2201,2203,2205,2208,2211],{},[392,2202,394],{},[392,2204,1941],{},[392,2206,2207],{},"OpenHands",[392,2209,2210],{},"Manus",[392,2212,1065],{},[407,2214,2215,2232,2249,2264,2278],{},[389,2216,2217,2220,2223,2226,2229],{},[412,2218,2219],{},"模式",[412,2221,2222],{},"异步 Cloud Agent",[412,2224,2225],{},"自托管 \u002F Cloud",[412,2227,2228],{},"异步 Cloud",[412,2230,2231],{},"同步 CLI",[389,2233,2234,2237,2240,2243,2246],{},[412,2235,2236],{},"起步价",[412,2238,2239],{},"$20 + ACU",[412,2241,2242],{},"免费（开源）",[412,2244,2245],{},"$39\u002F月",[412,2247,2248],{},"Pro $20\u002F月",[389,2250,2251,2253,2256,2259,2262],{},[412,2252,2017],{},[412,2254,2255],{},"10–∞",[412,2257,2258],{},"自托管无限",[412,2260,2261],{},"5+",[412,2263,890],{},[389,2265,2266,2268,2270,2273,2276],{},[412,2267,1135],{},[412,2269,471],{},[412,2271,2272],{},"强（社区维护）",[412,2274,2275],{},"强（国产）",[412,2277,458],{},[389,2279,2280,2283,2286,2289,2291],{},[412,2281,2282],{},"沙箱",[412,2284,2285],{},"内置云端",[412,2287,2288],{},"Docker \u002F Cloud",[412,2290,2285],{},[412,2292,2293],{},"本地",[30,2295,555],{"id":555},[45,2297,2298,2304,2310,2316,2322],{},[48,2299,2300,2303],{},[51,2301,2302],{},"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」",[48,2305,2306,2309],{},[51,2307,2308],{},"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",[48,2311,2312,2315],{},[51,2313,2314],{},"ACU 监控要开","：仪表盘里设单任务 ACU 上限，避免 runaway",[48,2317,2318,2321],{},[51,2319,2320],{},"PR 必须 review","：Devin 偶尔会引入安全问题（hardcode key、删测试）",[48,2323,2324,2326],{},[51,2325,1172],{},"：网络、定价、语言成本叠加后，单位产出 ROI 不一定胜过 Cursor + Claude",[30,2328,609],{"id":608},[45,2330,2331,2334,2337,2340,2343],{},[48,2332,2333],{},"✅ 海外团队、英文项目、批量化的中小 task",[48,2335,2336],{},"✅ 想做「夜跑 agent」流水线的工程团队",[48,2338,2339],{},"❌ 中文项目、国内个人开发者",[48,2341,2342],{},"❌ 预算敏感（同样钱可以买 4 个 Cursor 席位）",[48,2344,2345],{},"❌ 需要实时协作 \u002F 紧急 hotfix",[30,2347,638],{"id":638},[45,2349,2350,2356,2362],{},[48,2351,2352,2355],{},[644,2353,2354],{"href":1945},"OpenHands 评测","（Devin 的开源平替）",[48,2357,2358,2361],{},[644,2359,2360],{"href":1948},"Manus 评测","（国产 cloud agent）",[48,2363,2364,2366],{},[644,2365,1220],{"href":799},"（同步替代方案）",[30,2368,664],{"id":664},[666,2370,2371,2378,2385,2392],{},[48,2372,2373,2374],{},"SiliconAngle — Devin 2.0 with lower starting price（2025-04-03）",[644,2375,2376],{"href":2376,"rel":2377},"https:\u002F\u002Fsiliconangle.com\u002F2025\u002F04\u002F03\u002Fcognition-ai-launches-revamped-coding-assistant-devin-2-0-much-lower-starting-price",[675],[48,2379,2380,2381],{},"CostBench — Devin AI Pricing 2026（2026-05-04）",[644,2382,2383],{"href":2383,"rel":2384},"https:\u002F\u002Fcostbench.com\u002Fsoftware\u002Fai-coding-assistants\u002Fdevin-ai\u002F",[675],[48,2386,2387,2388],{},"eesel — Cognition AI Pricing Explained ",[644,2389,2390],{"href":2390,"rel":2391},"https:\u002F\u002Fwww.eesel.ai\u002Fblog\u002Fcognition-ai-pricing",[675],[48,2393,2394,2395],{},"Vibe Coding — Devin Review 2026 \u002F Windsurf rebrand ",[644,2396,2397],{"href":2397,"rel":2398},"https:\u002F\u002Fvibecoding.app\u002Fblog\u002Fdevin-review",[675],{"title":198,"searchDepth":250,"depth":250,"links":2400},[2401,2402,2403,2404,2405,2406,2407,2408,2409,2410],{"id":32,"depth":243,"text":33},{"id":818,"depth":243,"text":818},{"id":1994,"depth":243,"text":1995},{"id":1472,"depth":243,"text":1472},{"id":191,"depth":243,"text":191},{"id":1045,"depth":243,"text":1045},{"id":555,"depth":243,"text":555},{"id":608,"depth":243,"text":609},{"id":638,"depth":243,"text":638},{"id":664,"depth":243,"text":664},"\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。",[2414,2417,2420,2423],{"q":2415,"a":2416},"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":2418,"a":2419},"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":2421,"a":2422},"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":2424,"a":2425},"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。",[732],{},"\u002Ftools\u002Fcoding\u002Fagent\u002Fdevin",[738,2430],"desktop",[2432,2436,2440],{"plan":2433,"price":2434,"seats":890,"notes":2435},"Core (PAYG)","$20\u002F月起","Pay-as-you-go，$2.25\u002FACU，最多 10 并发会话",{"plan":2046,"price":2437,"seats":2438,"notes":2439},"$500\u002F月","≥1","含 250 ACUs（$2\u002FACU 实际单价）、无限并发、Slack 专属频道",{"plan":124,"price":746,"seats":1902,"notes":2441},"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",[2444,2447],{"name":2445,"url":2446},"AI PR Review Pipeline","\u002Fplaybook\u002Freview\u002Fai-pr-review-pipeline",{"name":2448,"url":2449},"AI Agent 概念入门 Wiki","\u002Fwiki\u002Fai-agent",{"power":277,"ux":262,"price":243,"cn_support":243,"stability":262},{"title":1941,"description":2412},"coding\u002Fagent\u002Fdevin",[2454,2456,2458,2460],{"name":2455,"url":2376,"accessed":764},"SiliconAngle — Devin 2.0 launch",{"name":2457,"url":2383,"accessed":764},"CostBench — Devin AI Pricing 2026",{"name":2459,"url":2390,"accessed":764},"eesel — Cognition AI Pricing",{"name":2461,"url":2397,"accessed":764},"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",[713,2465,738,2466,2467],"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":2472,"title":2207,"alternatives":2473,"api_compatible":25,"body":2479,"category":713,"chinese_friendly":262,"cover":2914,"description":2915,"domestic":716,"extension":717,"faq":2916,"free":716,"github":2929,"languages":2930,"meta":2931,"models":25,"navigation":246,"notSuitable":25,"opensource":246,"path":1945,"pillar":735,"platforms":2932,"priceTable":2934,"pricing":2941,"published":753,"relatedPlaybooks":2942,"relatedReviews":25,"score":2947,"self_host":246,"seo":2948,"slug":2949,"sources":2950,"stem":2959,"suitable":25,"tagline":2960,"tags":2961,"updated":764,"verdict":2965,"website":2966,"__hash__":2967},"tools\u002Ftools\u002Fcoding\u002Fagent\u002Fopenhands.md",[2474,2476,2477,2478],{"name":2475,"url":2428},"devin",{"name":1333,"url":1334},{"name":1331,"url":1225},{"name":1947,"url":1948},{"type":27,"value":2480,"toc":2902},[2481,2483,2490,2493,2495,2498,2521,2524,2551,2553,2599,2602,2606,2610,2631,2635,2655,2657,2686,2688,2786,2788,2828,2830,2847,2849,2870,2872],[30,2482,33],{"id":32},[35,2484,2485,2486,2489],{},"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：",[51,2487,2488],{},"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。",[35,2491,2492],{},"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。",[30,2494,818],{"id":818},[35,2496,2497],{},"OpenHands 的核心是「Agent + 工具集」，工具集包括：",[45,2499,2500,2503,2506,2509,2512,2515],{},[48,2501,2502],{},"文件编辑（多文件 diff\u002Fedit）",[48,2504,2505],{},"shell command 执行（Docker sandbox 隔离）",[48,2507,2508],{},"浏览器自动化（点击、表单、截图）",[48,2510,2511],{},"API 调用 \u002F HTTP 请求",[48,2513,2514],{},"Git 仓库操作（clone、commit、PR）",[48,2516,2517,2520],{},[51,2518,2519],{},"MCP 协议","：可挂载任意第三方 tool",[35,2522,2523],{},"四种使用入口：",[666,2525,2526,2534,2540,2545],{},[48,2527,2528,980,2530,2533],{},[51,2529,1901],{},[200,2531,2532],{},"docker run"," 一行起，本地 Web GUI + CLI",[48,2535,2536,2539],{},[51,2537,2538],{},"Individual Cloud","：openhands.dev 注册免费用，每天 10 会话",[48,2541,2542,2544],{},[51,2543,124],{},"：私有云 + 多用户 + RBAC + 集中 billing",[48,2546,2547,2550],{},[51,2548,2549],{},"Cloud Agent SDK","：把 OpenHands 当 lib 嵌入自家产品",[30,2552,852],{"id":851},[383,2554,2555,2566],{},[386,2556,2557],{},[389,2558,2559,2561,2563],{},[392,2560,861],{},[392,2562,105],{},[392,2564,2565],{},"限制",[407,2567,2568,2579,2590],{},[389,2569,2570,2574,2576],{},[412,2571,2572],{},[51,2573,1901],{},[412,2575,742],{},[412,2577,2578],{},"BYOK，单用户，自己付 LLM 费",[389,2580,2581,2585,2587],{},[412,2582,2583],{},[51,2584,2538],{},[412,2586,742],{},[412,2588,2589],{},"每天 10 会话，BYOK 或 OpenHands at-cost LLM",[389,2591,2592,2594,2596],{},[412,2593,124],{},[412,2595,746],{},[412,2597,2598],{},"多用户、SAML\u002FSSO、专属支持、Slack 频道",[35,2600,2601],{},"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。",[30,2603,2605],{"id":2604},"实测本地-docker-一周高强度试用","实测（本地 docker 一周高强度试用）",[35,2607,2608,980],{},[51,2609,1477],{},[45,2611,2612,2619,2622,2625,2628],{},[48,2613,2614,2615,2618],{},"起步快：",[200,2616,2617],{},"docker run -p 3000:3000 allhandsai\u002Fopenhands"," 三分钟到 Web UI",[48,2620,2621],{},"中文支持比 Devin 好——社区贡献了不少中文 prompt 案例",[48,2623,2624],{},"浏览器 use 能力扎实——能去 stackoverflow 搜错误后修代码",[48,2626,2627],{},"任务可视化：sandbox 里跑的每条命令、改的每个文件都有回放",[48,2629,2630],{},"BYOK 灵活：白天 Claude Sonnet 4，晚上 DeepSeek R1，省钱",[35,2632,2633,980],{},[51,2634,999],{},[45,2636,2637,2643,2646,2649,2652],{},[48,2638,2639,2642],{},[51,2640,2641],{},"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",[48,2644,2645],{},"长任务（>30 分钟）context window 会爆，需要把任务拆小",[48,2647,2648],{},"Windows 用户必走 WSL2 + Docker Desktop，原生 docker 不稳",[48,2650,2651],{},"GUI 体验不如 Cursor \u002F Devin 精致——是工程师工具，不是 PM 工具",[48,2653,2654],{},"沙箱占资源——idle 时也吃 1–2GB 内存",[30,2656,191],{"id":191},[666,2658,2659,2662,2667,2673,2676,2679],{},[48,2660,2661],{},"装 Docker（含 docker-in-docker 支持）",[48,2663,2664],{},[200,2665,2666],{},"docker pull docker.all-hands.dev\u002Fall-hands-ai\u002Fopenhands:latest",[48,2668,2669,2670],{},"一行启动（官方推荐命令在 docs），打开 ",[200,2671,2672],{},"localhost:3000",[48,2674,2675],{},"选 LLM provider（Anthropic \u002F OpenAI \u002F Ollama \u002F 任意 OpenAI 兼容 endpoint）+ 填 API key",[48,2677,2678],{},"描述任务（中文 OK），Agent 在 sandbox 里跑给你看",[48,2680,2681,2682,2685],{},"进阶：编辑 ",[200,2683,2684],{},"config.toml"," 加 MCP server，或 fork 仓库改 microagent prompt",[30,2687,1045],{"id":1045},[383,2689,2690,2704],{},[386,2691,2692],{},[389,2693,2694,2696,2698,2700,2702],{},[392,2695,394],{},[392,2697,2207],{},[392,2699,1941],{},[392,2701,1667],{},[392,2703,2210],{},[407,2705,2706,2719,2732,2744,2758,2771],{},[389,2707,2708,2710,2713,2715,2717],{},[412,2709,1691],{},[412,2711,2712],{},"✅ MIT",[412,2714,481],{},[412,2716,486],{},[412,2718,481],{},[389,2720,2721,2724,2726,2728,2730],{},[412,2722,2723],{},"自托管",[412,2725,486],{},[412,2727,481],{},[412,2729,486],{},[412,2731,481],{},[389,2733,2734,2736,2738,2740,2742],{},[412,2735,2236],{},[412,2737,742],{},[412,2739,2239],{},[412,2741,742],{},[412,2743,2245],{},[389,2745,2746,2748,2750,2753,2755],{},[412,2747,1135],{},[412,2749,1754],{},[412,2751,2752],{},"1\u002F5",[412,2754,1141],{},[412,2756,2757],{},"5\u002F5",[389,2759,2760,2763,2765,2767,2769],{},[412,2761,2762],{},"Browser use",[412,2764,486],{},[412,2766,486],{},[412,2768,481],{},[412,2770,486],{},[389,2772,2773,2776,2779,2782,2784],{},[412,2774,2775],{},"上手成本",[412,2777,2778],{},"中（需 Docker）",[412,2780,2781],{},"低",[412,2783,2781],{},[412,2785,2781],{},[30,2787,555],{"id":555},[45,2789,2790,2796,2802,2816,2822],{},[48,2791,2792,2795],{},[51,2793,2794],{},"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",[48,2797,2798,2801],{},[51,2799,2800],{},"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",[48,2803,2804,2807,2808,2811,2812,2815],{},[51,2805,2806],{},"大仓库先 wiki","：让 OpenHands 跑一遍 ",[200,2809,2810],{},"summarize the repo","，把结果存到 ",[200,2813,2814],{},"microagents\u002F","，后续任务上下文更准",[48,2817,2818,2821],{},[51,2819,2820],{},"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",[48,2823,2824,2827],{},[51,2825,2826],{},"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",[30,2829,609],{"id":608},[45,2831,2832,2835,2838,2841,2844],{},[48,2833,2834],{},"✅ 中文 \u002F 国内场景（速度 + 隐私 + 成本三优）",[48,2836,2837],{},"✅ 合规 \u002F 私有云部署",[48,2839,2840],{},"✅ 想做企业内部 AI 开发平台的底座",[48,2842,2843],{},"❌ 不会 Docker \u002F 不愿读 yaml 的 PM \u002F 设计师",[48,2845,2846],{},"❌ 要 Devin 那种端到端体验（PR \u002F Slack \u002F Wiki 全自动）",[30,2848,638],{"id":638},[45,2850,2851,2857,2861,2865],{},[48,2852,2853,2856],{},[644,2854,2855],{"href":2428},"Devin 评测","（闭源同类）",[48,2858,2859],{},[644,2860,1832],{"href":1334},[48,2862,2863],{},[644,2864,1226],{"href":1225},[48,2866,2867,2869],{},[644,2868,2360],{"href":1948},"（国产 Cloud 替代）",[30,2871,664],{"id":664},[666,2873,2874,2881,2888,2895],{},[48,2875,2876,2877],{},"OpenHands 官方 Pricing ",[644,2878,2879],{"href":2879,"rel":2880},"https:\u002F\u002Fwww.openhands.dev\u002Fpricing",[675],[48,2882,2883,2884],{},"AISO Tools — OpenHands Pricing 2026（2026-06-21）",[644,2885,2886],{"href":2886,"rel":2887},"https:\u002F\u002Faisotools.com\u002Fpricing\u002Fopenhands",[675],[48,2889,2890,2891],{},"AI Tool Finder — OpenHands Review 2026（2026-05-14）",[644,2892,2893],{"href":2893,"rel":2894},"https:\u002F\u002Faitoolfinder.org\u002Ftools\u002Fopenhands",[675],[48,2896,2897,2898],{},"OSS-AI-SWE 项目目录 ",[644,2899,2900],{"href":2900,"rel":2901},"https:\u002F\u002Foss-ai-swe.org\u002Fopen-hands",[675],{"title":198,"searchDepth":250,"depth":250,"links":2903},[2904,2905,2906,2907,2908,2909,2910,2911,2912,2913],{"id":32,"depth":243,"text":33},{"id":818,"depth":243,"text":818},{"id":851,"depth":243,"text":852},{"id":2604,"depth":243,"text":2605},{"id":191,"depth":243,"text":191},{"id":1045,"depth":243,"text":1045},{"id":555,"depth":243,"text":555},{"id":608,"depth":243,"text":609},{"id":638,"depth":243,"text":638},{"id":664,"depth":243,"text":664},"\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。",[2917,2920,2923,2926],{"q":2918,"a":2919},"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":2921,"a":2922},"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":2924,"a":2925},"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":2927,"a":2928},"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",[1895,732],{},[2933,738,1285],"docker",[2935,2937,2939],{"plan":1901,"price":742,"seats":890,"notes":2936},"MIT，Docker 起，BYOK，单用户",{"plan":2538,"price":742,"seats":890,"notes":2938},"每日 10 会话上限，BYOK 或用 OpenHands LLM at-cost",{"plan":124,"price":746,"seats":941,"notes":2940},"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",[2943,2946],{"name":2944,"url":2945},"Legacy 代码库 AI Onboarding","\u002Fplaybook\u002Fonboarding\u002Flegacy-codebase-onboarding",{"name":2448,"url":2449},{"power":262,"ux":250,"price":277,"cn_support":262,"stability":250},{"title":2207,"description":2915},"coding\u002Fagent\u002Fopenhands",[2951,2953,2955,2957],{"name":2952,"url":2879,"accessed":764},"OpenHands 官方 pricing",{"name":2954,"url":2886,"accessed":764},"AISO Tools — OpenHands Pricing 2026",{"name":2956,"url":2893,"accessed":764},"AI Tool Finder — OpenHands Review 2026",{"name":2958,"url":2900,"accessed":764},"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）",[713,2465,779,2962,2963,2964,1934],"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 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