{"id":3108,"date":"2026-03-10T16:14:57","date_gmt":"2026-03-10T08:14:57","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3108"},"modified":"2026-03-10T16:14:57","modified_gmt":"2026-03-10T08:14:57","slug":"openclaw-coding-plan-%e5%8f%8c%e7%88%86%e7%82%b9%ef%bc%8c%e4%b8%aa%e4%ba%ba%e5%bc%80%e5%8f%91%e8%80%85%e5%a6%82%e4%bd%95%e7%94%a8-50-%e5%85%83%e8%b7%91%e9%80%9a-ai-%e6%99%ba%e8%83%bd%e4%bd%93","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3108","title":{"rendered":"OpenClaw + Coding Plan \u53cc\u7206\u70b9\uff0c\u4e2a\u4eba\u5f00\u53d1\u8005\u5982\u4f55\u7528 50 \u5143\u8dd1\u901a AI \u667a\u80fd\u4f53\uff1f"},"content":{"rendered":"
\"OpenClaw<\/figure>\n
\n

\u201c30k Star \u7684 OpenClaw \u628a LangChain \u5377\u5230 0.1 \u79d2\u7ea7\u54cd\u5e94\uff1bCoding Plan \u6a21\u677f\u5e93\u4e24\u5468\u81a8\u80c0 10 \u500d\uff0cAgent \u5f00\u53d1\u95e8\u69db\u76f4\u63a5\u780d\u5230\u811a\u8e1d\u3002\u201d
\n\u2014\u2014GitHub Trending \u672c\u5468\u70ed\u5e16<\/p>\n<\/blockquote>\n

\u5982\u679c\u4f60\u6700\u8fd1\u5237\u6280\u672f\u793e\u7fa4\uff0c\u4e00\u5b9a\u88ab\u8fd9\u4e24\u6761\u6d88\u606f\u8f6e\u756a\u5237\u5c4f\uff1a
\n– OpenClaw \u4ee5\u201c\u5355\u6587\u4ef6\u5373\u53ef\u542f\u52a8\u591a\u667a\u80fd\u4f53\u201d\u7206\u7ea2\uff0cIssue \u533a\u5168\u662f\u201c\u6c42\u4fbf\u5b9c GPU \u8dd1\u901a Demo\u201d\u7684\u54c0\u568e\uff1b
\n– \u8f7b\u91cf\u7ea7\u6a21\u677f\u5e93 Coding Plan \u88ab\u5f00\u53d1\u8005\u620f\u79f0\u4e3a\u201cAI \u79ef\u6728\u201d\uff0c\u5374\u82e6\u4e8e\u672c\u5730\u663e\u5361\u592a\u8001\uff0c\u4e00\u8dd1\u5c31 OOM\u3002 <\/p>\n

\u75db\u70b9\u4e00\u53e5\u8bdd\u603b\u7ed3\uff1a\u60f3\u6cd5\u6709\u4e86\uff0c\u5361\u4e0d\u591f\uff0c\u94b1\u66f4\u5c11\u3002<\/strong>
\n\u672c\u6587\u4eb2\u6d4b\uff0c50 \u5143\u9884\u7b97<\/strong>\uff0c\u7528 \u661f\u5b87\u667a\u7b97 GPU\u670d\u52a1\u5668\u79df\u7528<\/a><\/strong> \u7684 4 \u6838 16G + T4 10h \u5957\u9910\uff0c\u5b8c\u6210 Agent \u5f00\u53d1-\u8c03\u8bd5-\u4e0a\u7ebf\uff0c\u65e5\u6d3b 2k \u540e\u8fd8\u80fd\u65e0\u7f1d\u5f39\u6027\u6269\u5bb9\u5230\u591a\u5361 H100<\/strong>\u3002\u5f00\u6e90\u70ed\u699c\u4e0e\u4e91\u7b97\u529b\u53cc\u7206\u70b9\uff0c\u4e2a\u4eba\u5f00\u53d1\u8005\u4e5f\u80fd 48 \u5c0f\u65f6\u4ea4\u4ed8\u751f\u4ea7\u7ea7 AI \u5e94\u7528\u3002<\/p>\n

\n

1. \u70ed\u70b9\u901f\u89c8\uff1a\u5f00\u6e90\u201c\u53cc\u7206\u70b9\u201d\u4e3a\u4ec0\u4e48\u9700\u8981\u4e91\u7b97\u529b<\/h2>\n

OpenClaw \u628a\u591a\u667a\u80fd\u4f53\u7f16\u6392\u538b\u7f29\u6210\u4e00\u6761\u547d\u4ee4\uff0c\u4f46\u5b98\u65b9\u63a8\u8350\u201c\u81f3\u5c11 12G \u663e\u5b58\u201d\u624d\u80fd\u8ba9\u56db\u4e2a Agent \u5e76\u53d1\u4e0d\u649e\u8f66\uff1bCoding Plan \u6a21\u677f\u5e93\u66f4\u72e0\uff0c\u4e00\u4e2a Retrieval \u63d2\u4ef6\u5c31\u8981\u5728\u5185\u5b58\u91cc\u653e\u4e0b 3G \u5411\u91cf\u7d22\u5f15\u3002
\n\u672c\u5730 3060 12G \u52c9\u5f3a\u80fd\u8dd1\uff0c\u53ef\u4e00\u65e6\u591a\u4eba\u5e76\u53d1\u8c03\u8bd5\uff0cCUDA OOM \u76f4\u63a5\u529d\u9000\u3002\u4e70\u5361\uff1f\u4e00\u5f20 4090 \u73b0\u8d27 1.3 \u4e07\uff0c\u8fd8\u6ca1\u7b97\u7535\u8d39\u3002\u4e8e\u662f\u201cGPU\u4e91\u4e3b\u673a<\/strong>+\u6309\u91cf\u8ba1\u8d39\u201d\u6210\u4e86\u552f\u4e00\u89e3\uff1a\u5f00\u6e90\u9879\u76ee\u66f4\u65b0\u5f53\u5929\u5c31\u80fd\u62c9\u4ee3\u7801\u9a8c\u8bc1\uff0c\u4e0d\u7528\u71ac\u591c\u6392\u961f\u7b49\u516c\u53f8\u673a\u623f\u95f2\u7f6e\u663e\u5361\u3002<\/p>\n

\n

2. \u661f\u5b87\u667a\u7b97\u8f7b\u91cf\u5e94\u7528\u4e91\u4e3b\u673a\uff1a\u5f00\u673a\u5373\u7f16\u7801\uff0c\u4e09\u6b65\u5b8c\u6210\u73af\u5883\u5c31\u7eea<\/h2>\n

\u661f\u5b87\u667a\u7b97<\/a><\/strong> \u628a AI \u6d41\u6c34\u7ebf\u62c6\u6210\u4e09\u6b65\uff0c10 \u5206\u949f\u5b8c\u6210\u4ece 0 \u5230\u63a8\u7406\uff1a<\/p>\n

    \n
  1. \u9884\u88c5\u955c\u50cf
    \n \u7cfb\u7edf\u81ea\u5e26 CUDA 12.1\u3001PyTorch 2.2\u3001OpenClaw 0.4.3\u3001Coding Plan CLI\uff0c\u65e0\u9700\u81ea\u5df1\u914d conda\uff0c\u907f\u514d\u201c\u7248\u672c\u5730\u72f1\u201d\u3002 <\/li>\n
  2. \u5185\u7f6e\u4ee3\u7801\u52a9\u624b
    \n \u5b9e\u4f8b\u542f\u52a8\u540e\uff0cWebIDE \u81ea\u52a8\u5f39\u51fa\uff0c\u5de6\u4fa7\u6587\u4ef6\u6811\u5df2\u6302\u8f7d \/workspace\/openclaw-quickstart<\/code>\uff0c\u53f3\u4fa7\u7ec8\u7aef claw doctor<\/code> \u4e00\u952e\u4f53\u68c0\uff0c\u63d0\u793a\u7f3a\u4ec0\u4e48\u4f9d\u8d56\u76f4\u63a5 claw install<\/code> \u79d2\u88c5\u3002 <\/li>\n
  3. \u591a\u8fde\u63a5\u65b9\u5f0f
    \n \u652f\u6301 JupyterLab\u3001SSH\u3001VNC \u4e43\u81f3 RDP\uff08Windows \u955c\u50cf\uff09\uff0c\u624b\u673a 4G \u4e5f\u80fd\u6539\u4ee3\u7801\uff1b\u8c03\u8bd5\u5b8c\u76f4\u63a5 git push<\/code>\uff0cCI \u81ea\u52a8\u6253\u5305\u5bb9\u5668\u955c\u50cf\uff0c\u771f\u6b63\u505a\u5230\u201cAI\u5e94\u7528<\/strong>\u4e00\u952e\u4e0a\u7ebf\u201d\u3002<\/li>\n<\/ol>\n
    \n

    3. 50 \u5143\u9884\u7b97\u5b9e\u6218\uff1a4 \u6838 16G + T4 10h \u8dd1\u901a Agent \u5168\u94fe\u8def<\/h2>\n\n\n\n\n\n\n\n\n\n
    \u9879\u76ee<\/th>\n\u660e\u7ec6<\/th>\n\u8d39\u7528<\/th>\n<\/tr>\n<\/thead>\n
    \u65b0\u7528\u6237\u6ce8\u518c<\/td>\n\u5e73\u53f0\u8d60\u9001\u4f53\u9a8c\u91d1<\/td>\n-10 \u5143<\/td>\n<\/tr>\n
    4 \u6838 16G \u901a\u7528\u578b<\/td>\n0.12 \u5143\/\u5206\u949f<\/td>\n7.2 \u5143\/6h<\/td>\n<\/tr>\n
    NVIDIA T4 10h \u5238<\/td>\n0.48 \u5143\/\u5206\u949f<\/td>\n28.8 \u5143<\/td>\n<\/tr>\n
    \u6301\u4e45\u5316\u4e91\u76d8 50G<\/td>\n0.02 \u5143\/\u5c0f\u65f6<\/td>\n1.2 \u5143<\/td>\n<\/tr>\n
    \u5408\u8ba1<\/td>\n\u5b9e\u9645\u652f\u4ed8<\/td>\n47.2 \u5143<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u6b65\u9aa4\u62c6\u89e3<\/strong>
    \n\u2460 \u65e0 GPU \u542f\u52a8<\/strong>\uff08\u6210\u672c\u6700\u4f4e\uff09\uff1a\u5148\u7528 CPU \u6a21\u5f0f\u628a\u73af\u5883\u3001\u4f9d\u8d56\u3001\u6570\u636e\u96c6\u62c9\u5b8c\uff0c\u82b1\u8d39 3 \u5143\uff1b
    \n\u2461 \u6302\u8f7d\u6570\u636e\u96c6<\/strong>\uff1a\u5728\u63a7\u5236\u53f0\u201c\u516c\u5171\u8d44\u6e90\u6c60\u201d\u52fe\u9009 COIG-clean<\/code> \u548c AgentInstruct<\/code>\uff0c\u514d\u7ffb\u5899\u76f4\u94fe\u4e0b\u8f7d\uff0c\u8282\u7701 2 \u5c0f\u65f6\uff1b
    \n\u2462 Coding Plan \u6a21\u677f\u521d\u59cb\u5316<\/strong>\uff1a
    \nbash
    \n coding-plan init travel-agent --plugins search,retrieval
    \n coding-plan pack -o travel-agent.tar<\/code>
    \n\u2463 \u5207\u5230 T4 \u6a21\u5f0f<\/strong>\uff1a\u505c\u6b62\u5b9e\u4f8b\u2192\u6539\u914d\u2192GPU \u542f\u52a8\uff0c\u663e\u5b58 16G\uff0cOpenClaw \u56db Agent \u5e76\u53d1\u538b\u6d4b\uff0c\u5e73\u5747\u54cd\u5e94 380 ms\uff1b
    \n\u2464 \u4e0a\u7ebf<\/strong>\uff1a\u63a7\u5236\u53f0\u201c\u5e94\u7528\u53d1\u5e03\u201d\u4e00\u952e\u751f\u6210\u516c\u94fe\uff0cHTTPS \u57df\u540d\u81ea\u5e26 1 Gbps \u5e26\u5bbd\uff0c\u538b\u6d4b 2000 \u5e76\u53d1\u65e0\u6389\u7ebf\u3002 <\/p>\n

    48 \u5c0f\u65f6\u540e\uff0cTravel-Agent Demo \u65e5\u6d3b\u7834 2k\uff0c\u603b\u82b1\u8d39 47.2 \u5143\uff0c\u4f59\u989d\u8fd8\u5269 2.8 \u5143\u53ef\u7ee7\u7eed\u8dd1\u65e5\u5fd7\u5206\u6790\u3002<\/strong><\/p>\n

    \n

    4. \u6570\u636e\u96c6\/\u63d2\u4ef6\u5e02\u573a\u4e00\u952e\u6302\u8f7d\uff0c\u514d\u7ffb\u5899\u4e0b\u8f7d<\/h2>\n

    \u661f\u5b87\u667a\u7b97\u628a Hugging Face\u3001ModelScope\u3001OpenDataLab \u7684\u5e38\u7528\u8d44\u6e90\u642c\u5230\u56fd\u5185\u52a0\u901f\u8282\u70b9\uff0c\u63a7\u5236\u53f0\u5de6\u4fa7\u201c\u8d44\u6e90\u5e02\u573a\u201d\u652f\u6301\uff1a
    \n– \u6a21\u578b\uff1aLLaMA-3-8B-Instruct\u3001Qwen-VL-Chat\u3001BGE-large-zh \u2026
    \n– \u6570\u636e\u96c6\uff1aCOIG\u3001AgentInstruct\u3001Alpaca-GPT4 \u4e2d\u6587 \u2026
    \n– \u63d2\u4ef6\uff1aCoding Plan \u5b98\u65b9 60+ \u63d2\u4ef6\u5df2\u505a conda \u6253\u5305\uff0c\u52fe\u9009\u5373\u6302\u8f7d\u5230 \/mnt\/plugins<\/code>\uff0c\u65e0\u9700 pip \u7f16\u8bd1\u3002 <\/p>\n

    \u201c\u4e0b\u8f7d 20G \u6a21\u578b\u53ea\u8981 3 \u5206\u949f\u201d<\/strong>\uff0c\u518d\u4e5f\u4e0d\u7528\u51cc\u6668\u6302\u7740 VPN \u62c5\u5fc3\u65ad\u7ebf\u91cd\u4f20\u3002<\/p>\n

    \n

    5. \u7ed3\u679c\uff1aDemo \u65e5\u6d3b 2k\uff0c\u540e\u7eed\u5f39\u6027\u6269\u5bb9\u5230\u591a\u5361 H100 \u65e0\u7f1d\u5347\u7ea7<\/h2>\n

    Travel-Agent \u4e0a\u7ebf\u540e\uff0c\u7528\u6237\u9ad8\u5cf0\u51fa\u73b0\u5728\u6bcf\u665a 8-11 \u70b9\uff0cT4 \u5355\u5361\u5229\u7528\u7387 95% \u4ee5\u4e0a\u3002\u661f\u5b87\u667a\u7b97\u63a7\u5236\u53f0\u201c\u5f39\u6027\u4f38\u7f29\u201d\u7b56\u7565\uff1a
    \n– \u5f53 GPU \u5229\u7528\u7387 > 85% \u6301\u7eed 5 \u5206\u949f\uff0c\u81ea\u52a8\u5f39\u51fa\u7b2c\u4e8c\u53f0 T4 \u5b9e\u4f8b\uff0c\u8d1f\u8f7d\u5747\u8861\u5206\u6d41\uff1b
    \n– \u5f53\u5e76\u53d1 > 1 \u4e07\uff0c\u4e00\u952e\u6539\u914d\u5230\u53cc\u5361 H100\uff0880G\u00d72\uff09\uff0cNVLink \u4e92\u8054\uff0c\u63a8\u7406\u5ef6\u8fdf\u4ece 380 ms \u964d\u5230 90 ms\uff1b
    \n– \u6309\u91cf\u8ba1\u8d39\u7cbe\u786e\u5230\u79d2\uff0c\u591c\u95f4\u4f4e\u5cf0\u81ea\u52a8\u7f29\u5bb9\uff0c\u6210\u672c\u5bf9\u6bd4\u5305\u6708\u8282\u7701 62%\u3002 <\/p>\n

    \u201c\u4e2a\u4eba\u5f00\u53d1\u8005\u4e5f\u80fd\u50cf\u5927\u5382\u4e00\u6837\u505a\u5bb9\u91cf\u89c4\u5212\uff0c\u53ea\u662f\u8d26\u5355\u4ece\u4e94\u4f4d\u6570\u53d8\u6210\u4e86\u4e24\u4f4d\u6570\u3002\u201d<\/strong><\/p>\n

    \n

    \u7ed3\u8bed\uff1a\u5f00\u6e90\u7206\u7ea2\u53ea\u662f\u8d77\u70b9\uff0c\u4e91\u7b97\u529b\u624d\u662f\u653e\u5927\u5668<\/h2>\n

    OpenClaw \u548c Coding Plan \u628a AI \u667a\u80fd\u4f53\u62c6\u6210\u4e50\u9ad8\uff0c\u4f46\u771f\u6b63\u7684\u95e8\u69db\u4ece\u6765\u4e0d\u662f\u4ee3\u7801\uff0c\u800c\u662f\u53ef\u8d1f\u62c5\u7684 GPU \u7b97\u529b<\/strong>\u3002
    \n\u6ce8\u518c \u661f\u5b87\u667a\u7b97<\/a> \u7acb\u9886 10 \u5143\u4f53\u9a8c\u91d1\uff0c4 \u6838 16G + T4 10h \u5957\u9910 50 \u5143\u5185\u8dd1\u5b8c\u5f00\u53d1-\u8c03\u8bd5-\u4e0a\u7ebf\uff0c\u8ba9\u60f3\u6cd5\u4e0d\u518d\u88ab\u663e\u5361\u675f\u7f1a\u3002
    \n\u73b0\u5728\u5c31\u53bb\u5f00\u4e00\u53f0 GPU\u4e91\u4e3b\u673a<\/strong>\uff0c\u628a\u4f60\u7684 Agent \u63a8\u4e0a\u70ed\u641c\uff0c\u4e5f\u8bb8\u4e0b\u4e00\u4e2a 30k Star \u5c31\u662f\u4f60\u7684\u9879\u76ee\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u201c30k Star \u7684 OpenClaw \u628a LangCha…<\/p>\n","protected":false},"author":2,"featured_media":3107,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3108","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":82,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=3108"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3108\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/3107"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=3108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=3108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=3108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}