{"id":27827,"date":"2025-03-07T09:42:06","date_gmt":"2025-03-07T01:42:06","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=27827"},"modified":"2025-03-10T14:52:29","modified_gmt":"2025-03-10T06:52:29","slug":"openmanus","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/openmanus\/","title":{"rendered":"OpenManus\uff1aMetaGPT\u63a8\u51fa\u7684\u5f00\u6e90\u7248Manus"},"content":{"rendered":"<p>OpenManus \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u901a\u8fc7\u7b80\u5355\u914d\u7f6e\u5728\u672c\u5730\u8fd0\u884c\u667a\u80fd\u4f53\uff0c\u5b9e\u73b0\u5404\u79cd\u521b\u610f\u60f3\u6cd5\u3002\u5b83\u7531 <a href=\"https:\/\/www.kdjingpai.com\/de\/metagpt\/\">MetaGPT<\/a> \u793e\u533a\u7684\u6210\u5458 @mannaandpoem\u3001@XiangJinyu\u3001@MoshiQAQ \u548c @didiforgithub \u5728\u77ed\u77ed 3 \u5c0f\u65f6\u5185\u5f00\u53d1\u5b8c\u6210\uff0c\u540c\u65f6\u5927\u5bb6\u53ef\u4ee5\u5173\u6ce8\u4ed6\u4eec\u7684\u81ea\u52a8\u5316\u7f16\u7a0b\u9879\u76ee <a href=\"https:\/\/www.kdjingpai.com\/de\/mgx\/\">MGX<\/a> \u3002\u76f8\u6bd4\u9700\u8981\u9080\u8bf7\u7801\u7684 Manus\uff0cOpenManus \u65e0\u9700\u4efb\u4f55\u51c6\u5165\u95e8\u69db\uff0c\u7528\u6237\u53ea\u9700\u514b\u9686\u4ee3\u7801\u3001\u914d\u7f6e LLM API \u5373\u53ef\u5feb\u901f\u4e0a\u624b\u3002\u9879\u76ee\u57fa\u4e8e Python \u5f00\u53d1\uff0c\u7ed3\u6784\u7b80\u5355\u660e\u4e86\uff0c\u652f\u6301\u901a\u8fc7\u7ec8\u7aef\u8f93\u5165\u4efb\u52a1\u6765\u9a71\u52a8\u667a\u80fd\u4f53\u6267\u884c\u64cd\u4f5c\u3002\u76ee\u524d\u5b83\u662f\u4e00\u4e2a\u521d\u7ea7\u5b9e\u73b0\uff0c\u56e2\u961f\u6b22\u8fce\u7528\u6237\u63d0\u51fa\u5efa\u8bae\u6216\u8d21\u732e\u4ee3\u7801\uff0c\u672a\u6765\u8ba1\u5212\u5305\u62ec\u4f18\u5316\u4efb\u52a1\u89c4\u5212\u548c\u589e\u52a0\u5b9e\u65f6\u6f14\u793a\u529f\u80fd\u3002<\/p>\n<blockquote><p>OpenManus \u754c\u9762\u7248\uff1ahttps:\/\/github.com\/YunQiAI\/OpenManusWeb<\/p><\/blockquote>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27828\" title=\"OpenManus\uff1aMetaGPT\u63a8\u51fa\u7684\u5f00\u6e90\u7248Manus-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/7c0917ef0188c9f.png\" alt=\"OpenManus\uff1aMetaGPT\u63a8\u51fa\u7684\u5f00\u6e90\u7248Manus-1\" width=\"1070\" height=\"577\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/7c0917ef0188c9f.png 1070w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/7c0917ef0188c9f-768x414.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/7c0917ef0188c9f-18x10.png 18w\" sizes=\"auto, (max-width: 1070px) 100vw, 1070px\" \/><\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_28063\" style=\"width: 757px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-28063\" class=\"wp-image-28063 size-full\" title=\"OpenManus\uff1aMetaGPT\u63a8\u51fa\u7684\u5f00\u6e90\u7248Manus-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1ef55b6959d0da6.jpg\" alt=\"OpenManus\uff1aMetaGPT\u63a8\u51fa\u7684\u5f00\u6e90\u7248Manus-1\" width=\"747\" height=\"750\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1ef55b6959d0da6.jpg 747w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/1ef55b6959d0da6-12x12.jpg 12w\" sizes=\"auto, (max-width: 747px) 100vw, 747px\" \/><p id=\"caption-attachment-28063\" class=\"wp-caption-text\">OpenManusWeb\uff08\u975e\u5b98\u65b9\uff09<\/p><\/div>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u672c\u5730\u667a\u80fd\u4f53\u8fd0\u884c<\/strong>\uff1a\u901a\u8fc7\u7ec8\u7aef\u8f93\u5165\u4efb\u52a1\uff0c\u5229\u7528\u914d\u7f6e\u7684 LLM API \u5728\u672c\u5730\u6267\u884c\u81ea\u52a8\u5316\u64cd\u4f5c\u3002<\/li>\n<li><strong>\u652f\u6301\u4e3b\u6d41 LLM \u6a21\u578b<\/strong>\uff1a\u9ed8\u8ba4\u96c6\u6210 GPT-4o\uff0c\u7528\u6237\u53ef\u6839\u636e\u9700\u8981\u8c03\u6574\u6a21\u578b\u914d\u7f6e\u3002<\/li>\n<li><strong>\u4e00\u952e\u542f\u52a8<\/strong>\uff1a\u8fd0\u884c\u00a0<code>python main.py<\/code>\u00a0\u5373\u53ef\u5feb\u901f\u8fdb\u5165\u4efb\u52a1\u8f93\u5165\u6a21\u5f0f\u3002<\/li>\n<li><strong>\u5b9e\u9a8c\u6027\u7248\u672c<\/strong>\uff1a\u63d0\u4f9b\u00a0<code>python run_flow.py<\/code>\u00a0\u7528\u4e8e\u6d4b\u8bd5\u5f00\u53d1\u4e2d\u7684\u65b0\u529f\u80fd\u3002<\/li>\n<li><strong>\u793e\u533a\u534f\u4f5c<\/strong>\uff1a\u652f\u6301\u901a\u8fc7 GitHub \u63d0\u4ea4\u95ee\u9898\u6216\u4ee3\u7801\uff0c\u53c2\u4e0e\u9879\u76ee\u5f00\u53d1\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>OpenManus \u7684\u5b89\u88c5\u8fc7\u7a0b\u7b80\u5355\uff0c\u9002\u5408\u719f\u6089 Python \u7684\u7528\u6237\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<h4>1. \u521b\u5efa Conda \u73af\u5883<\/h4>\n<p>\u4e3a\u4e86\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff0c\u5efa\u8bae\u4f7f\u7528 Conda \u521b\u5efa\u72ec\u7acb\u73af\u5883\uff1a<\/p>\n<pre><code>conda create -n open_manus python=3.12\r\nconda activate open_manus\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a\u7b2c\u4e00\u6761\u547d\u4ee4\u521b\u5efa\u540d\u4e3a\u00a0<code>open_manus<\/code>\u00a0\u7684\u73af\u5883\uff0c\u4f7f\u7528 Python 3.12\uff1b\u7b2c\u4e8c\u6761\u547d\u4ee4\u6fc0\u6d3b\u8be5\u73af\u5883\uff0c\u7ec8\u7aef\u63d0\u793a\u7b26\u4f1a\u53d8\u4e3a\u00a0<code>(open_manus)<\/code>\u3002<\/li>\n<li><strong>\u524d\u7f6e\u6761\u4ef6<\/strong>\uff1a\u9700\u5b89\u88c5 Conda\uff0c\u53ef\u4ece\u00a0Anaconda \u5b98\u7f51\u00a0\u4e0b\u8f7d\u3002<\/li>\n<\/ul>\n<h4>2. \u514b\u9686\u4ee3\u7801\u4ed3\u5e93<\/h4>\n<p>\u4ece GitHub \u4e0b\u8f7d OpenManus \u9879\u76ee\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/mannaandpoem\/OpenManus.git\r\ncd OpenManus\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a\u7b2c\u4e00\u6761\u547d\u4ee4\u5c06\u4ee3\u7801\u514b\u9686\u5230\u672c\u5730\uff0c\u7b2c\u4e8c\u6761\u547d\u4ee4\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\u3002<\/li>\n<li><strong>\u524d\u7f6e\u6761\u4ef6<\/strong>\uff1a\u9700\u5b89\u88c5 Git\uff0c\u53ef\u901a\u8fc7\u00a0<code>git --version<\/code>\u00a0\u68c0\u67e5\u662f\u5426\u53ef\u7528\uff0c\u82e5\u65e0\u5219\u4ece\u00a0git-scm.com\u00a0\u4e0b\u8f7d\u3002<\/li>\n<\/ul>\n<h4>3. \u5b89\u88c5\u4f9d\u8d56<\/h4>\n<p>\u5b89\u88c5\u9879\u76ee\u6240\u9700\u7684 Python \u5305\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a<code>requirements.txt<\/code>\u00a0\u6587\u4ef6\u5217\u51fa\u4e86\u6240\u6709\u4f9d\u8d56\u5305\uff0c\u8fd0\u884c\u6b64\u547d\u4ee4\u4f1a\u81ea\u52a8\u5b89\u88c5\u3002<\/li>\n<li><strong>\u7f51\u7edc\u4f18\u5316<\/strong>\uff1a\u82e5\u4e0b\u8f7d\u7f13\u6162\uff0c\u53ef\u4f7f\u7528\u56fd\u5185\u955c\u50cf\uff0c\u5982\u00a0<code>pip install -r requirements.txt -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/code>\u3002<\/li>\n<\/ul>\n<h3>\u914d\u7f6e\u6b65\u9aa4<\/h3>\n<p>OpenManus \u9700\u8981\u914d\u7f6e LLM API \u4ee5\u9a71\u52a8\u667a\u80fd\u4f53\u529f\u80fd\uff0c\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<h4>1. \u521b\u5efa\u914d\u7f6e\u6587\u4ef6<\/h4>\n<p>\u5728\u9879\u76ee\u6839\u76ee\u5f55\u7684\u00a0<code>config<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u521b\u5efa\u914d\u7f6e\u6587\u4ef6\uff1a<\/p>\n<pre><code>cp config\/config.example.toml config\/config.toml\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u8bf4\u660e<\/strong>\uff1a\u6b64\u547d\u4ee4\u5c06\u793a\u4f8b\u6587\u4ef6\u590d\u5236\u4e3a\u5b9e\u9645\u914d\u7f6e\u6587\u4ef6\uff0c<code>config.toml<\/code>\u00a0\u662f\u8fd0\u884c\u65f6\u8bfb\u53d6\u7684\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<h4>2. \u7f16\u8f91\u914d\u7f6e\u6587\u4ef6<\/h4>\n<p>\u6253\u5f00\u00a0<code>config\/config.toml<\/code>\uff0c\u586b\u5165\u4f60\u7684 API \u5bc6\u94a5\u548c\u53c2\u6570\uff1a<\/p>\n<pre><code># \u5168\u5c40 LLM \u914d\u7f6e\r\n[llm]\r\nmodel = \"gpt-4o\"\r\nbase_url = \"https:\/\/api.openai.com\/v1\"\r\napi_key = \"sk-...\"  # \u66ff\u6362\u4e3a\u4f60\u7684 OpenAI API \u5bc6\u94a5\r\nmax_tokens = 4096\r\ntemperature = 0.0\r\n# \u53ef\u9009\u7684\u89c6\u89c9\u6a21\u578b\u914d\u7f6e\r\n[llm.vision]\r\nmodel = \"gpt-4o\"\r\nbase_url = \"https:\/\/api.openai.com\/v1\"\r\napi_key = \"sk-...\"  # \u66ff\u6362\u4e3a\u4f60\u7684 OpenAI API \u5bc6\u94a5\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u53c2\u6570\u8bf4\u660e<\/strong>\uff1a\n<ul>\n<li><code>model<\/code>\uff1a\u6307\u5b9a LLM \u6a21\u578b\uff0c\u9ed8\u8ba4\u4e3a GPT-4o\u3002<\/li>\n<li><code>base_url<\/code>\uff1aAPI \u7684\u8bbf\u95ee\u5730\u5740\uff0c\u9ed8\u8ba4\u4f7f\u7528 OpenAI \u5b98\u65b9\u63a5\u53e3\u3002<\/li>\n<li><code>api_key<\/code>\uff1a\u4ece OpenAI \u83b7\u53d6\u7684\u5bc6\u94a5\uff0c\u7528\u4e8e\u8eab\u4efd\u9a8c\u8bc1\u3002<\/li>\n<li><code>max_tokens<\/code>\uff1a\u5355\u6b21\u751f\u6210\u7684\u6700\u5927 <a href=\"https:\/\/www.kdjingpai.com\/de\/tokenization\/\">token<\/a> \u6570\uff0c\u63a7\u5236\u8f93\u51fa\u957f\u5ea6\u3002<\/li>\n<li><code>temperature<\/code>\uff1a\u63a7\u5236\u751f\u6210\u5185\u5bb9\u7684\u968f\u673a\u6027\uff0c0.0 \u8868\u793a\u6700\u7a33\u5b9a\u8f93\u51fa\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u83b7\u53d6 API \u5bc6\u94a5<\/strong>\uff1a\u8bbf\u95ee\u00a0OpenAI \u5b98\u7f51\uff0c\u767b\u5f55\u540e\u5728 \u201cAPI Keys\u201d \u9875\u9762\u751f\u6210\u5bc6\u94a5\uff0c\u590d\u5236\u5230\u914d\u7f6e\u6587\u4ef6\u4e2d\u3002<\/li>\n<\/ul>\n<h3>\u8fd0\u884c\u4e0e\u4f7f\u7528<\/h3>\n<p>\u5b8c\u6210\u5b89\u88c5\u548c\u914d\u7f6e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u65b9\u5f0f\u542f\u52a8 OpenManus\uff1a<\/p>\n<h4>1. \u57fa\u7840\u8fd0\u884c<\/h4>\n<p>\u8fd0\u884c\u4e3b\u7a0b\u5e8f\uff1a<\/p>\n<pre><code>python main.py\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u64cd\u4f5c\u6d41\u7a0b<\/strong>\uff1a\n<ol>\n<li>\u7ec8\u7aef\u663e\u793a\u63d0\u793a\u540e\uff0c\u8f93\u5165\u4f60\u7684\u4efb\u52a1\uff08\u4f8b\u5982\uff1a\u201c\u5e2e\u6211\u751f\u6210\u4e00\u4efd\u5468\u8ba1\u5212\u201d\uff09\u3002<\/li>\n<li>\u6309\u56de\u8f66\u952e\u63d0\u4ea4\uff0cOpenManus \u8c03\u7528 LLM \u5904\u7406\u4efb\u52a1\u3002<\/li>\n<li>\u5904\u7406\u7ed3\u679c\u76f4\u63a5\u663e\u793a\u5728\u7ec8\u7aef\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u573a\u666f<\/strong>\uff1a\u9002\u5408\u5feb\u901f\u6d4b\u8bd5\u6216\u6267\u884c\u7b80\u5355\u4efb\u52a1\uff0c\u5982\u751f\u6210\u6587\u672c\u6216\u4ee3\u7801\u7247\u6bb5\u3002<\/li>\n<\/ul>\n<h4>2. \u5b9e\u9a8c\u6027\u8fd0\u884c<\/h4>\n<p>\u8fd0\u884c\u4e0d\u7a33\u5b9a\u7248\u672c\u4ee5\u4f53\u9a8c\u65b0\u529f\u80fd\uff1a<\/p>\n<pre><code>python run_flow.py\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u7279\u70b9<\/strong>\uff1a\u5305\u542b\u5f00\u53d1\u4e2d\u7684\u7279\u6027\uff0c\u53ef\u80fd\u5b58\u5728 bug\uff0c\u9002\u5408\u5c1d\u9c9c\u7528\u6237\u3002<\/li>\n<li><strong>\u6ce8\u610f<\/strong>\uff1a\u786e\u4fdd\u914d\u7f6e\u6587\u4ef6\u6b63\u786e\uff0c\u5426\u5219\u53ef\u80fd\u8fd0\u884c\u5931\u8d25\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u672c\u5730\u667a\u80fd\u4f53\u8fd0\u884c<\/h4>\n<ul>\n<li><strong>\u529f\u80fd\u63cf\u8ff0<\/strong>\uff1a\u901a\u8fc7\u7ec8\u7aef\u8f93\u5165\u4efb\u52a1\uff0cOpenManus \u5728\u672c\u5730\u8c03\u7528 LLM \u5904\u7406\u5e76\u8fd4\u56de\u7ed3\u679c\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u793a\u4f8b<\/strong>\uff1a\n<ol>\n<li>\u8fd0\u884c\u00a0<code>python main.py<\/code>\u3002<\/li>\n<li>\u8f93\u5165\uff1a\u201c\u5199\u4e00\u4e2a Python \u51fd\u6570\u8ba1\u7b97 1 \u5230 100 \u7684\u548c\u201d\u3002<\/li>\n<li>\u8f93\u51fa\u793a\u4f8b\uff1a\n<pre><code>def sum_to_100():\r\nreturn sum(range(1, 101))\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f18\u52bf<\/strong>\uff1a\u672c\u5730\u8fd0\u884c\u65e0\u9700\u4e0a\u4f20\u6570\u636e\uff0c\u4fdd\u62a4\u9690\u79c1\u4e14\u54cd\u5e94\u901f\u5ea6\u5feb\u3002<\/li>\n<\/ul>\n<h4>\u652f\u6301\u4e3b\u6d41 LLM \u6a21\u578b<\/h4>\n<ul>\n<li><strong>\u529f\u80fd\u63cf\u8ff0<\/strong>\uff1a\u7528\u6237\u53ef\u6839\u636e\u9700\u6c42\u5207\u6362\u4e0d\u540c LLM \u6a21\u578b\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u7f16\u8f91\u00a0<code>config.toml<\/code>\uff0c\u5c06\u00a0<code>model<\/code>\u00a0\u6539\u4e3a\u5176\u4ed6\u6a21\u578b\uff08\u5982\u00a0<code>\"gpt-3.5-turbo\"<\/code>\uff09\u3002<\/li>\n<li>\u4fdd\u5b58\u540e\u8fd0\u884c\u00a0<code>python main.py<\/code>\u3002<\/li>\n<li>\u8f93\u5165\u4efb\u52a1\uff0c\u4f53\u9a8c\u4e0d\u540c\u6a21\u578b\u7684\u8f93\u51fa\u6548\u679c\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u5efa\u8bae<\/strong>\uff1a\u590d\u6742\u4efb\u52a1\u7528 GPT-4o\uff0c\u7b80\u5355\u4efb\u52a1\u7528 GPT-3.5-turbo \u66f4\u8282\u7701\u6210\u672c\u3002<\/li>\n<\/ul>\n<h3>\u5e38\u89c1\u95ee\u9898\u89e3\u51b3<\/h3>\n<ul>\n<li><strong>\u95ee\u9898<\/strong>\uff1a\u8fd0\u884c\u62a5\u9519\u201cModuleNotFoundError\u201d\u3002\n<ul>\n<li><strong>\u89e3\u51b3<\/strong>\uff1a\u786e\u8ba4\u4f9d\u8d56\u662f\u5426\u5b8c\u6574\u5b89\u88c5\uff0c\u91cd\u65b0\u8fd0\u884c\u00a0<code>pip install -r requirements.txt<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u95ee\u9898<\/strong>\uff1a\u63d0\u793a\u201cInvalid API key\u201d\u3002\n<ul>\n<li><strong>\u89e3\u51b3<\/strong>\uff1a\u68c0\u67e5\u00a0<code>config.toml<\/code>\u00a0\u4e2d\u7684\u00a0<code>api_key<\/code>\u00a0\u662f\u5426\u6b63\u786e\uff0c\u6216\u91cd\u65b0\u751f\u6210\u5bc6\u94a5\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u95ee\u9898<\/strong>\uff1a\u8fd0\u884c\u5361\u987f\u6216\u65e0\u54cd\u5e94\u3002\n<ul>\n<li><strong>\u89e3\u51b3<\/strong>\uff1a\u68c0\u67e5\u7f51\u7edc\u8fde\u63a5\u662f\u5426\u7a33\u5b9a\uff0c\u6216\u51cf\u5c11\u00a0<code>max_tokens<\/code>\u00a0\u503c\u4ee5\u964d\u4f4e\u8ba1\u7b97\u91cf\u3002<\/li>\n<li>\n<div><strong>\u67e5\u770b\u6f14\u793a<\/strong>\uff1a\u9879\u76ee\u63d0\u4f9b <a href=\"https:\/\/github.com\/mannaandpoem\/OpenManus\/blob\/main\/demo\/seo_website.mp4\" target=\"_blank\" rel=\"noopener noreferrer\">Demo Video<\/a>\uff0c\u5c55\u793a\u5b9e\u9645\u8fd0\u884c\u6548\u679c\u3002<\/div>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>OpenManus \u662f\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u901a\u8fc7\u7b80\u5355\u914d\u7f6e\u5728\u672c\u5730\u8fd0\u884c\u667a\u80fd\u4f53\uff0c\u5b9e\u73b0\u5404\u79cd\u521b\u610f\u60f3\u6cd5\u3002\u5b83\u7531 MetaGPT \u793e\u533a\u7684\u6210\u5458 @mannaandpoem\u3001@XiangJinyu\u3001@MoshiQAQ \u548c @didiforgithub \u5728\u77ed&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61984,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,201],"class_list":["post-27827","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aizhinengti"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/27827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=27827"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/27827\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61984"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=27827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=27827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=27827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}