[{"data":1,"prerenderedAt":1017},["ShallowReactive",2],{"/cn/mcp_agent/mcp/guide":3,"surround-/cn/mcp_agent/mcp/guide":1008},{"id":4,"title":5,"avatar":6,"banner":6,"body":7,"category":6,"desc":1001,"description":61,"extension":1002,"links":6,"meta":1003,"navigation":6,"path":1004,"seo":1005,"stem":1006,"__hash__":1007},"docs/cn/mcp_agent/mcp/guide.md","MCP 服务配置",null,{"type":8,"value":9,"toc":987},"minimark",[10,15,19,22,26,46,48,52,55,318,321,334,341,364,366,370,375,378,384,387,395,401,404,410,412,416,419,425,428,433,439,442,448,450,454,461,467,470,891,897,900,906,908,918,921,927,930,936,939,944,950,953,959,961,965,968,971,973,977,983],[11,12,14],"h2",{"id":13},"_1-服务简介","1. 服务简介",[16,17,18],"p",{},"MemOS记忆管理MCP是一款强大的插件，它允许用户访问MemOS记忆的添加、搜索、删除、反馈等功能，能够存取对话内容，为用户提供高效的记忆管理服务，助力于提升用户与AI对话的一致性和个性化水平。",[20,21],"br",{},[11,23,25],{"id":24},"_2-工具链接","2. 工具链接",[27,28,29,39],"ul",{},[30,31,32],"li",{},[33,34,38],"a",{"href":35,"rel":36},"https://www.npmjs.com/package/@memtensor/memos-api-mcp",[37],"nofollow","npm包",[30,40,41],{},[33,42,45],{"href":43,"rel":44},"https://github.com/MemTensor/memos-api-mcp",[37],"Github",[20,47],{},[11,49,51],{"id":50},"_3-通过-mcp-与-memos-云平台交互","3. 通过 MCP 与 MemOS 云平台交互",[16,53,54],{},"在客户端中填写如下配置：",[56,57,62],"pre",{"className":58,"code":59,"language":60,"meta":61,"style":61},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{\n  \"mcpServers\": {\n    \"memos-api-mcp\": {\n      \"timeout\": 60,\n      \"type\": \"stdio\",\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"@memtensor/memos-api-mcp@latest\"\n      ],\n      \"env\": {\n        \"MEMOS_API_KEY\": \"mpg-xxxxxxxxxxxxxxxxxxxxxxxxxxxxx\",\n        \"MEMOS_USER_ID\": \"your-user-id\",\n        \"MEMOS_CHANNEL\": \"MODELSCOPE\"\n      }\n    }\n  }\n}\n","json","",[63,64,65,74,93,109,129,152,173,188,201,212,218,232,254,275,294,300,306,312],"code",{"__ignoreMap":61},[66,67,70],"span",{"class":68,"line":69},"line",1,[66,71,73],{"class":72},"sMK4o","{\n",[66,75,77,80,84,87,90],{"class":68,"line":76},2,[66,78,79],{"class":72},"  \"",[66,81,83],{"class":82},"spNyl","mcpServers",[66,85,86],{"class":72},"\"",[66,88,89],{"class":72},":",[66,91,92],{"class":72}," {\n",[66,94,96,99,103,105,107],{"class":68,"line":95},3,[66,97,98],{"class":72},"    \"",[66,100,102],{"class":101},"sBMFI","memos-api-mcp",[66,104,86],{"class":72},[66,106,89],{"class":72},[66,108,92],{"class":72},[66,110,112,115,119,121,123,126],{"class":68,"line":111},4,[66,113,114],{"class":72},"      \"",[66,116,118],{"class":117},"sbssI","timeout",[66,120,86],{"class":72},[66,122,89],{"class":72},[66,124,125],{"class":117}," 60",[66,127,128],{"class":72},",\n",[66,130,132,134,137,139,141,144,148,150],{"class":68,"line":131},5,[66,133,114],{"class":72},[66,135,136],{"class":117},"type",[66,138,86],{"class":72},[66,140,89],{"class":72},[66,142,143],{"class":72}," \"",[66,145,147],{"class":146},"sfazB","stdio",[66,149,86],{"class":72},[66,151,128],{"class":72},[66,153,155,157,160,162,164,166,169,171],{"class":68,"line":154},6,[66,156,114],{"class":72},[66,158,159],{"class":117},"command",[66,161,86],{"class":72},[66,163,89],{"class":72},[66,165,143],{"class":72},[66,167,168],{"class":146},"npx",[66,170,86],{"class":72},[66,172,128],{"class":72},[66,174,176,178,181,183,185],{"class":68,"line":175},7,[66,177,114],{"class":72},[66,179,180],{"class":117},"args",[66,182,86],{"class":72},[66,184,89],{"class":72},[66,186,187],{"class":72}," [\n",[66,189,191,194,197,199],{"class":68,"line":190},8,[66,192,193],{"class":72},"        \"",[66,195,196],{"class":146},"-y",[66,198,86],{"class":72},[66,200,128],{"class":72},[66,202,204,206,209],{"class":68,"line":203},9,[66,205,193],{"class":72},[66,207,208],{"class":146},"@memtensor/memos-api-mcp@latest",[66,210,211],{"class":72},"\"\n",[66,213,215],{"class":68,"line":214},10,[66,216,217],{"class":72},"      ],\n",[66,219,221,223,226,228,230],{"class":68,"line":220},11,[66,222,114],{"class":72},[66,224,225],{"class":117},"env",[66,227,86],{"class":72},[66,229,89],{"class":72},[66,231,92],{"class":72},[66,233,235,237,241,243,245,247,250,252],{"class":68,"line":234},12,[66,236,193],{"class":72},[66,238,240],{"class":239},"swJcz","MEMOS_API_KEY",[66,242,86],{"class":72},[66,244,89],{"class":72},[66,246,143],{"class":72},[66,248,249],{"class":146},"mpg-xxxxxxxxxxxxxxxxxxxxxxxxxxxxx",[66,251,86],{"class":72},[66,253,128],{"class":72},[66,255,257,259,262,264,266,268,271,273],{"class":68,"line":256},13,[66,258,193],{"class":72},[66,260,261],{"class":239},"MEMOS_USER_ID",[66,263,86],{"class":72},[66,265,89],{"class":72},[66,267,143],{"class":72},[66,269,270],{"class":146},"your-user-id",[66,272,86],{"class":72},[66,274,128],{"class":72},[66,276,278,280,283,285,287,289,292],{"class":68,"line":277},14,[66,279,193],{"class":72},[66,281,282],{"class":239},"MEMOS_CHANNEL",[66,284,86],{"class":72},[66,286,89],{"class":72},[66,288,143],{"class":72},[66,290,291],{"class":146},"MODELSCOPE",[66,293,211],{"class":72},[66,295,297],{"class":68,"line":296},15,[66,298,299],{"class":72},"      }\n",[66,301,303],{"class":68,"line":302},16,[66,304,305],{"class":72},"    }\n",[66,307,309],{"class":68,"line":308},17,[66,310,311],{"class":72},"  }\n",[66,313,315],{"class":68,"line":314},18,[66,316,317],{"class":72},"}\n",[16,319,320],{},"环境变量获取方式：",[27,322,323],{},[30,324,325,327,328,333],{},[63,326,240],{},": 在MemOS官网",[33,329,332],{"href":330,"rel":331},"https://memos-dashboard.memtensor.net/cn/apikeys/",[37],"API控制台","上注册账号，然后在接口密钥页面新建api-key并复制粘贴在此处。",[16,335,336],{},[337,338],"img",{"alt":339,"src":340},"在MemOS API控制台上新建api-key","https://cdn.memt.ai/img/1763452232848_t268eh_compressed.png",[27,342,343,359],{},[30,344,345,347,348],{},[63,346,261],{},": 确定性的用户自定义个人标识符。",[27,349,350,353,356],{},[30,351,352],{},"对于同一用户，该环境变量需要在不同设备/客户端中保持一致；",[30,354,355],{},"请不要使用随机值、设备ID或聊天会话ID作为用户标识符；",[30,357,358],{},"推荐使用：个人email地址、姓名全称或员工ID作为用户标识符。",[30,360,361,363],{},[63,362,282],{},": 填写为\"MODELSCOPE\"即可。",[20,365],{},[11,367,369],{"id":368},"_4-在不同的客户端中使用-memos-mcp","4. 在不同的客户端中使用 MemOS MCP",[371,372,374],"h3",{"id":373},"在claude-desktop中使用","在Claude Desktop中使用",[16,376,377],{},"在Claude Desktop中使用MemOS，需点击左下角头像 -> \"Settings\" -> \"Developer\" -> \"Edit Config\"， 并粘贴配置到Claude_desktop_config.json文件中，最后重启客户端，观察到memos-api-mcp服务处于running状态即可在聊天中使用。",[16,379,380],{},[337,381],{"alt":382,"src":383},"在Claude中使用MemOS-验证","https://cdn.memt.ai/img/1763105334517_9ayhrp_compressed.png",[16,385,386],{},"为了提升使用效果，建议用户在Claude Desktop中使用MemOS时修改作用于所有对话的用户偏好设置，具体方法为点击左下角头像 -> \"General\", 在\"What personal preferences should Claude consider in responses?\"下面的输入框中粘贴如下内容：",[56,388,393],{"className":389,"code":391,"language":392},[390],"language-text","你是MemOS记忆管理助手，致力于提供高效的记忆管理服务，基于用户过往的对话内容抽取记忆，并通过记忆检索提升用户与AI对话的一致性和个性化水平。在每次回答用户的问题之前，你需要调用memos-api-mcp的search_memory服务，利用恰当的检索词在用户的个人记忆库中搜索和当前话题有关的记忆。在基于这些记忆完成回答后，再调用memos-api-mcp的add_message服务，将当前对话内容摘要记录下来。（请注意，调用add_message这一步是必须进行的，无论用户说了什么或问了什么问题都要记录下来，否则在后续的对话中，search_memory将无法获取到更细致的用户信息，进而导致你不能准确地回答用户问题。）\n","text",[63,394,391],{"__ignoreMap":61},[16,396,397],{},[337,398],{"alt":399,"src":400},"在Claude Desktop中使用MemOS-修改用户偏好","https://cdn.memt.ai/img/1763105396189_i1tupr_compressed.png",[16,402,403],{},"下面是在Claude Desktop中使用MemOS的示例，用户可借此判断是否已经成功在Claude Desktop中配置MemOS。",[16,405,406],{},[337,407],{"alt":408,"src":409},"在Claude Desktop中使用MemOS的示例","https://cdn.memt.ai/img/1763105412700_asgfq9_compressed.png",[20,411],{},[371,413,415],{"id":414},"在cursor中使用","在Cursor中使用",[16,417,418],{},"在Cursor中使用MemOS，需进入\"Cursor Settings\" -> \"Tools & MCP\" -> \"Add Custom MCP\"(或\"New MCP Server\"), 并在弹出的mcp.json文件编辑页中粘贴配置，观察到memos-api-mcp处于启动状态，且能够在工具详情页面看到\"add_message\"\"search_memory\"等若干工具，即可在Cursor聊天面板中使用。",[16,420,421],{},[337,422],{"alt":423,"src":424},"在Cursor中使用MemOS","https://cdn.memt.ai/img/1763105278297_n23ukk_compressed.png",[16,426,427],{},"为了提升使用效果，建议用户在Cursor中使用MemOS时修改User Rules，具体方法为进入\"Cursor Settings\" -> \"Rules, Memories, Commands\" -> \"User Rules\" -> \"+ Add Rule\", 然后将下面的内容复制粘贴后保存：",[56,429,431],{"className":430,"code":391,"language":392},[390],[63,432,391],{"__ignoreMap":61},[16,434,435],{},[337,436],{"alt":437,"src":438},"在Cursor中使用MemOS-配置User rules","https://cdn.memt.ai/img/1763105535408_2xtvd3_compressed.png",[16,440,441],{},"下面是在Cursor中使用MemOS的示例，用户可借此判断是否成功在Cursor中配置MemOS。",[16,443,444],{},[337,445],{"alt":446,"src":447},"在Cursor中使用MemOS-使用示例","https://cdn.memt.ai/img/1763105558821_imga5z_compressed.png",[20,449],{},[371,451,453],{"id":452},"在visual-studio-code或trae中使用","在Visual Studio Code或Trae中使用",[16,455,456,457,460],{},"在VS Code或Trae中使用MemOS，需安装Cline扩展并进行模型配置后，点击Cline面板内部右上角的\"MCP Servers\"图标 -> \"Configure\" -> \"Configure MCP Servers\", 并粘贴配置到cline_map_settings.json文件中，观察到memos-api-mcp处于启动状态即可在Cline智能体中使用。同时，推荐开启各工具的",[63,458,459],{},"Auto-approve","开关，避免智能体每次调用工具前询问，使用更流畅。",[16,462,463],{},[337,464],{"alt":465,"src":466},"在Cline中使用MemOS-配置流程","https://cdn.memt.ai/img/1763105573529_oo765m_compressed.png",[16,468,469],{},"为了提升使用效果，建议用户在Cline中使用MemOS时修改global rules，具体方法为点击Cline面板左下角的\"Manage Cline Rules & Workflows\" 图标 -> 点击Global Rules下方右侧的\"＋\"图标 -> 在输入框内输入rules文件名，如\"memos_rules.md\" -> 将下面的内容复制粘贴到弹出的编辑器内：",[56,471,475],{"className":472,"code":473,"language":474,"meta":61,"style":61},"language-markdown shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","# 🧠 MemOS Automatic Memory System — Mandatory Usage\n\n## ⚠️ Always-On (No User Opt-In Required)\nThis system must run **automatically for every turn**. Do **not** wait for the user to say “use memory”, “use MCP”, or “call a tool”. The **client/orchestrator is responsible** for auto-invoking the tools.\n\n## 🎯 Mandatory 3-Step Workflow (Enforced by Client Each Turn)\n\\`\\`\\`\nEvery user message\n  → 1) 🔍 search_memory (AUTO, before answering)\n  → 2) 💬 Answer (use only relevant memories; ignore noise)\n  → 3) 💾 add_message (AUTO, after answering)\n\\`\\`\\`\n\n### 1) 🔍 Search Memory (Auto-invoked BEFORE answering)\n- **Trigger**: Must be auto-called **before** generating any answer (including simple greetings).\n- **Tool**: `search_memory`\n\n**Relevance rule**: The model must judge relevance and **only use relevant** memories. If results are irrelevant or noisy, **ignore them** and proceed.\n\n### 2) 💬 Answer\nUse retrieved memories **only if relevant**. If none are relevant, answer normally.\n\n### 3) 💾 Save Conversation (Auto-invoked AFTER answering)\n- **Trigger**: Must be auto-called after producing the final answer on **every turn**.\n- **Tool**: `add_message`\n\n**Purpose**: Persist Q&A for future personalization and continuity — even if no memory was used this turn.\n\n## ✅ Non-Negotiable Client Responsibilities\n1. **Auto-invoke** `search_memory` before **every** answer and `add_message` after **every** answer.\n2. **No user opt-in**: Do not wait for the user to mention memory/tools/MCP.\n3. **Store both user and assistant** messages every turn.\n4. **Sequence** must be strictly: Search → Answer → Save.\n","markdown",[63,476,477,485,491,499,538,542,549,554,559,564,569,574,578,582,590,616,639,643,675,680,688,704,709,717,741,761,766,779,784,792,843,859,875],{"__ignoreMap":61},[66,478,479,482],{"class":68,"line":69},[66,480,481],{"class":72},"# ",[66,483,484],{"class":101},"🧠 MemOS Automatic Memory System — Mandatory Usage\n",[66,486,487],{"class":68,"line":76},[66,488,490],{"emptyLinePlaceholder":489},true,"\n",[66,492,493,496],{"class":68,"line":95},[66,494,495],{"class":72},"## ",[66,497,498],{"class":101},"⚠️ Always-On (No User Opt-In Required)\n",[66,500,501,505,509,513,515,518,520,523,525,528,530,533,535],{"class":68,"line":111},[66,502,504],{"class":503},"sTEyZ","This system must run ",[66,506,508],{"class":507},"sHepR","**",[66,510,512],{"class":511},"so75L","automatically for every turn",[66,514,508],{"class":507},[66,516,517],{"class":503},". Do ",[66,519,508],{"class":507},[66,521,522],{"class":511},"not",[66,524,508],{"class":507},[66,526,527],{"class":503}," wait for the user to say “use memory”, “use MCP”, or “call a tool”. The ",[66,529,508],{"class":507},[66,531,532],{"class":511},"client/orchestrator is responsible",[66,534,508],{"class":507},[66,536,537],{"class":503}," for auto-invoking the tools.\n",[66,539,540],{"class":68,"line":131},[66,541,490],{"emptyLinePlaceholder":489},[66,543,544,546],{"class":68,"line":154},[66,545,495],{"class":72},[66,547,548],{"class":101},"🎯 Mandatory 3-Step Workflow (Enforced by Client Each Turn)\n",[66,550,551],{"class":68,"line":175},[66,552,553],{"class":503},"\\`\\`\\`\n",[66,555,556],{"class":68,"line":190},[66,557,558],{"class":503},"Every user message\n",[66,560,561],{"class":68,"line":203},[66,562,563],{"class":503},"  → 1) 🔍 search_memory (AUTO, before answering)\n",[66,565,566],{"class":68,"line":214},[66,567,568],{"class":503},"  → 2) 💬 Answer (use only relevant memories; ignore noise)\n",[66,570,571],{"class":68,"line":220},[66,572,573],{"class":503},"  → 3) 💾 add_message (AUTO, after answering)\n",[66,575,576],{"class":68,"line":234},[66,577,553],{"class":503},[66,579,580],{"class":68,"line":256},[66,581,490],{"emptyLinePlaceholder":489},[66,583,584,587],{"class":68,"line":277},[66,585,586],{"class":72},"### ",[66,588,589],{"class":101},"1) 🔍 Search Memory (Auto-invoked BEFORE answering)\n",[66,591,592,595,598,601,603,606,608,611,613],{"class":68,"line":296},[66,593,594],{"class":72},"-",[66,596,597],{"class":507}," **",[66,599,600],{"class":511},"Trigger",[66,602,508],{"class":507},[66,604,605],{"class":503},": Must be auto-called ",[66,607,508],{"class":507},[66,609,610],{"class":511},"before",[66,612,508],{"class":507},[66,614,615],{"class":503}," generating any answer (including simple greetings).\n",[66,617,618,620,622,625,627,630,633,636],{"class":68,"line":302},[66,619,594],{"class":72},[66,621,597],{"class":507},[66,623,624],{"class":511},"Tool",[66,626,508],{"class":507},[66,628,629],{"class":503},": ",[66,631,632],{"class":72},"`",[66,634,635],{"class":146},"search_memory",[66,637,638],{"class":72},"`\n",[66,640,641],{"class":68,"line":308},[66,642,490],{"emptyLinePlaceholder":489},[66,644,645,647,650,652,655,657,660,662,665,667,670,672],{"class":68,"line":314},[66,646,508],{"class":507},[66,648,649],{"class":511},"Relevance rule",[66,651,508],{"class":507},[66,653,654],{"class":503},": The model must judge relevance and ",[66,656,508],{"class":507},[66,658,659],{"class":511},"only use relevant",[66,661,508],{"class":507},[66,663,664],{"class":503}," memories. If results are irrelevant or noisy, ",[66,666,508],{"class":507},[66,668,669],{"class":511},"ignore them",[66,671,508],{"class":507},[66,673,674],{"class":503}," and proceed.\n",[66,676,678],{"class":68,"line":677},19,[66,679,490],{"emptyLinePlaceholder":489},[66,681,683,685],{"class":68,"line":682},20,[66,684,586],{"class":72},[66,686,687],{"class":101},"2) 💬 Answer\n",[66,689,691,694,696,699,701],{"class":68,"line":690},21,[66,692,693],{"class":503},"Use retrieved memories ",[66,695,508],{"class":507},[66,697,698],{"class":511},"only if relevant",[66,700,508],{"class":507},[66,702,703],{"class":503},". 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Q&A",[16,966,967],{},"Q：有时会遇到智能体在应当使用工具的场景没有使用的情况？",[16,969,970],{},"A：由于使用的底层模型不同，不同智能体对工具使用的熟练程度也存在差别，当出现智能体忘记使用工具的情况时可通过指令引导模型调用相应的工具，或尝试使用其他底层模型。",[20,972],{},[11,974,976],{"id":975},"_6-联系我们","6. 联系我们",[16,978,979],{},[337,980],{"alt":981,"src":982},"image.png","https://cdn.memt.ai/img/1758685658684_nbhka4_compressed.png",[984,985,986],"style",{},"html pre.shiki code .sMK4o, html code.shiki .sMK4o{--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF}html pre.shiki code .spNyl, html code.shiki .spNyl{--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA}html pre.shiki code .sBMFI, html code.shiki .sBMFI{--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B}html pre.shiki code .sbssI, html code.shiki .sbssI{--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C}html pre.shiki code .sfazB, html code.shiki .sfazB{--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D}html pre.shiki code .swJcz, html code.shiki .swJcz{--shiki-light:#E53935;--shiki-default:#F07178;--shiki-dark:#F07178}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sTEyZ, html code.shiki .sTEyZ{--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8}html pre.shiki code .sHepR, html code.shiki .sHepR{--shiki-light:#39ADB5;--shiki-light-font-weight:bold;--shiki-default:#89DDFF;--shiki-default-font-weight:bold;--shiki-dark:#89DDFF;--shiki-dark-font-weight:bold}html pre.shiki code .so75L, html code.shiki .so75L{--shiki-light:#E53935;--shiki-light-font-weight:bold;--shiki-default:#F07178;--shiki-default-font-weight:bold;--shiki-dark:#F07178;--shiki-dark-font-weight:bold}",{"title":61,"searchDepth":76,"depth":76,"links":988},[989,990,991,992,999,1000],{"id":13,"depth":76,"text":14},{"id":24,"depth":76,"text":25},{"id":50,"depth":76,"text":51},{"id":368,"depth":76,"text":369,"children":993},[994,995,996,997],{"id":373,"depth":95,"text":374},{"id":414,"depth":95,"text":415},{"id":452,"depth":95,"text":453},{"id":910,"depth":95,"text":998},"在Chatbox中使用",{"id":963,"depth":76,"text":964},{"id":975,"depth":76,"text":976},"MemOS 提供了通过 MCP 与云平台交互的方式，开发者可在不同的客户端（Claude、Cursor、Cline等）使用MemOS云平台服务。","md",{},"/cn/mcp_agent/mcp/guide",{"title":5,"description":61},"cn/mcp_agent/mcp/guide","_qAKCx1i75dzUcrphEPCrjC4tevmi_S2loWjHq8FarE",[1009],{"title":1010,"path":1011,"stem":1012,"icon":1013,"framework":6,"module":6,"class":1014,"target":-1,"active":1015,"defaultOpen":1015,"children":-1,"description":1016},"使用指南","/cn/mcp_agent/agent/guide","mcp_agent/agent/guide","i-ri-book-open-line",[],false,"上架的插件工具直接访问MemOS云服务接口，快速为您的Agent添加长期记忆功能，让对话更贴心、更连续。",1770372073434]