{"id":1103955,"date":"2026-03-05T13:56:34","date_gmt":"2026-03-05T13:56:34","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&p=1103955"},"modified":"2026-03-05T13:56:34","modified_gmt":"2026-03-05T13:56:34","slug":"part-2-from-memory-to-navigation-scaling-autonomous-agents-beyond-retrieval","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/zh\/blog\/part-2-from-memory-to-navigation-scaling-autonomous-agents-beyond-retrieval\/","title":{"rendered":"\u7b2c 2 \u90e8\u5206\uff1a\u4ece\u8bb0\u5fc6\u5230\u5bfc\u822a\uff1a\u6269\u5c55\u81ea\u4e3b\u4ee3\u7406\uff0c\u8d85\u8d8a\u68c0\u7d22"},"content":{"rendered":"

\u5bfc\u8a00<\/h2>\n

\u5728\u4e0a\u4e00\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u63a2\u8ba8\u4e86\u516b\u4e2a\u72ec\u7acb\u7814\u7a76\u56e2\u961f\u662f\u5982\u4f55\u6c47\u805a\u5728\u540c\u4e00\u4e2a\u89c1\u89e3\u4e0a\u7684\uff1a\u4e0e\u5176\u56f4\u7ed5\u6a21\u578b\u6784\u5efa\u8bb0\u5fc6\u7cfb\u7edf\uff0c\u4e0d\u5982\u8bad\u7ec3\u6a21\u578b\u672c\u8eab\uff0c\u4f7f\u5176\u5c06\u8bb0\u5fc6\u4f5c\u4e3a\u4e00\u79cd\u5b66\u4e60\u6280\u80fd\u6765\u7ba1\u7406\u3002\u540e\u8bb0\u5fc6\u8bad\u7ec3--\u5728\u8bad\u7ec3\u540e\u9636\u6bb5\u4f7f\u7528\u5f3a\u5316\u5b66\u4e60--\u4ea7\u751f\u7684\u4ee3\u7406\u53ef\u4ee5\u51b3\u5b9a\u5b58\u50a8\u3001\u5220\u9664\u3001\u5408\u5e76\u548c\u68c0\u7d22\u4ec0\u4e48\uff0c\u6240\u6709\u8fd9\u4e9b\u90fd\u662f\u9488\u5bf9\u4efb\u52a1\u5b8c\u6210\u60c5\u51b5\u8fdb\u884c\u4f18\u5316\u7684\u3002.<\/p>\n

\u4f46\u6b64\u540e\u53d1\u751f\u7684\u4e8b\u60c5\u66f4\u6709\u610f\u601d\u3002\u8fd9\u9879\u7814\u7a76\u4e0e\u53e6\u5916\u4e24\u9879\u8fdb\u5c55\u53d1\u751f\u4e86\u78b0\u649e\u3002. \u9012\u5f52\u8bed\u8a00\u6a21\u578b<\/strong> \u5c06\u4e0a\u4e0b\u6587\u7ba1\u7406\u91cd\u65b0\u5b9a\u4e49\u4e3a\u5bfc\u822a\u800c\u975e\u68c0\u7d22\u3002\u751f\u4ea7\u7cfb\u7edf\uff0c\u5982 OpenClaw<\/strong> \u8bc1\u660e\u8fd9\u4e9b\u60f3\u6cd5\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e4b\u5916\u4e5f\u80fd\u594f\u6548\u3002\u7efc\u5408\u6765\u770b\uff0c\u8fd9\u4e9b\u60f3\u6cd5\u7684\u610f\u4e49\u8fdc\u5927\u4e8e\u5185\u5b58\u7684\u6539\u8fdb\u3002.<\/p>\n

\u5b83\u6307\u5411\u4e00\u4e2a \u6269\u5927\u81ea\u6cbb\u4ee3\u7406\u7684\u6c11\u4e3b\u9053\u8def<\/strong> - \u4e00\u79cd\u4e0d\u9700\u8981\u5fae\u8c03\u3001\u7a00\u7f3a\u8ba1\u7b97\u6216\u6df1\u5c42 ML \u4e13\u4e1a\u77e5\u8bc6\u7684\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u5bfc\u822a\u548c\u751f\u4ea7\u8bc1\u636e\u7684\u7ed3\u5408\u65b9\u5f0f\u3002.<\/p>\n

\u60c5\u5883\u5373\u5bfc\u822a\uff1a\u9065\u611f\u8303\u5f0f\u7684\u8f6c\u53d8<\/h2>\n

\u6700\u8fd1\u5f15\u8d77\u6211\u6ce8\u610f\u7684\u662f\u5f53\u540e\u8bb0\u5fc6\u57f9\u8bad\u754c\u5728\u6559\u4ee3\u7406\u7ba1\u7406\u4e0a\u4e0b\u6587\u65f6\uff0c\u540c\u65f6\u8fdb\u884c\u7684\u4e00\u9879\u7814\u7a76\u5374\u5728\u5b8c\u5168\u91cd\u6784\u8fd9\u4e2a\u95ee\u9898\u3002.<\/p>\n

\u9012\u5f52\u8bed\u8a00\u6a21\u578b<\/strong>, Alex Zhang\u3001Tim Kraska \u548c Omar Khattab \u63d0\u51fa\uff0c\u4e0a\u4e0b\u6587\u5de5\u7a0b\u4e0d\u662f\u4e00\u4e2a\u68c0\u7d22\u95ee\u9898\u3002\u5b83\u662f\u4e00\u4e2a\u5bfc\u822a\u95ee\u9898\u3002\u8fd9\u4e24\u8005\u4e4b\u95f4\u7684\u533a\u522b\u975e\u5e38\u91cd\u8981\u3002.<\/p>\n

\u4f20\u7edf\u7684 RAG \u5c06\u77e5\u8bc6\u5e93\u89c6\u4e3a\u60a8\u67e5\u8be2\u7684 database\u3002\u4f60\u53ef\u4ee5\u5d4c\u5165\u77e5\u8bc6\u5757\uff0c\u8ba1\u7b97\u76f8\u4f3c\u5ea6\u5f97\u5206\uff0c\u5e76\u5c06\u524d K \u7ed3\u679c\u63d0\u53d6\u5230\u63d0\u793a\u4e2d\u3002\u6a21\u578b\u88ab\u52a8\u5730\u63a5\u6536\u68c0\u7d22\u7cfb\u7edf\u8ba4\u4e3a\u76f8\u5173\u7684\u5185\u5bb9\u3002\u6a21\u578b\u672c\u8eab\u5e76\u4e0d\u80fd\u63a7\u5236\u5b83\u6240\u770b\u5230\u7684\u5185\u5bb9\u3002.<\/p>\n

RLM \u5c31\u662f\u8fd9\u6837\u3002\u6a21\u578b\u53ef\u4ee5\u8bbf\u95ee\u6301\u4e45\u7684 Python REPL \u73af\u5883\u3002\u957f\u8f93\u5165\u4f5c\u4e3a\u53d8\u91cf\u52a0\u8f7d\u3002\u6a21\u578b\u53ef\u4ee5\u5bf9\u5176\u8fdb\u884c\u68c0\u67e5\u3001\u641c\u7d22\u3001\u5206\u533a\uff0c\u5e76\u542f\u52a8\u9012\u5f52\u5b50\u67e5\u8be2\uff0c\u751f\u6210\u65b0\u7684 LLM \u5b9e\u4f8b\uff0c\u5e76\u884c\u5904\u7406\u5404\u5757\u5185\u5bb9\u5e76\u8fd4\u56de\u7ed3\u679c\u3002\u6a21\u578b\u4ee5\u5f00\u53d1\u4eba\u5458\u6d4f\u89c8\u4ee3\u7801\u5e93\u7684\u65b9\u5f0f\u6d4f\u89c8\u4e0a\u4e0b\u6587\uff1a\u901a\u8fc7\u63a2\u7d22\u3001\u8fc7\u6ee4\u548c\u9009\u62e9\u6027\u8bfb\u53d6\u6240\u9700\u7684\u5185\u5bb9\u3002.<\/p>\n

\u6570\u636e\u8bc1\u660e\u4e86\u8fd9\u4e00\u70b9\u3002RLM \u53ef\u4ee5\u5904\u7406\u8d85\u51fa\u6a21\u578b\u672c\u5730\u4e0a\u4e0b\u6587\u7a97\u53e3\u4e24\u4e2a\u6570\u91cf\u7ea7\u7684\u8f93\u5165\uff0c\u800c\u4e0d\u4f1a\u51fa\u73b0\u6027\u80fd\u4e0b\u964d\u3002\u5728\u8d85\u8fc7 150 \u4e07\u5b57\u7b26\u7684\u5b9e\u9645 datasets \u4e2d\uff0cRLMs \u7684\u8868\u73b0\u660e\u663e\u4f18\u4e8e\u6807\u51c6 LLMs \u548c\u5e38\u89c1\u7684\u957f\u8bed\u5883\u811a\u624b\u67b6\u3002\u540e\u8bad\u7ec3\u7248\u672c, RLM-Qwen3-8B<\/strong>, \uff0c\u5176\u6027\u80fd\u6bd4\u57fa\u672c\u6a21\u578b\u9ad8\u51fa \u5e73\u5747 28.3%<\/strong> \u5e76\u5728\u4e09\u9879\u957f\u8bed\u5883\u4efb\u52a1\u4e2d\u63a5\u8fd1 GPT-5 \u8d28\u91cf - \u6765\u81ea 8B \u6a21\u578b\u3002.<\/p>\n

\u8fd9\u4e0e\u540e\u8bb0\u5fc6\u8bad\u7ec3\u7684\u4e92\u8865\u4e4b\u5904\u5728\u4e8e\u5173\u6ce8\u70b9\u7684\u5206\u79bb\u3002\u540e\u8bb0\u5fc6\u8bad\u7ec3\u6559\u4ee3\u7406\u8bb0\u4f4f\u4ec0\u4e48\u3001\u5fd8\u8bb0\u4ec0\u4e48--\u5373\u6709\u5173\u72b6\u6001\u7ba1\u7406\u7684\u7f16\u8f91\u51b3\u7b56\u3002RLM \u5219\u6559\u4ee3\u7406\u5982\u4f55\u63a2\u7d22\u5c1a\u672a\u8bb0\u5165\u8bb0\u5fc6\u7684\u4e0a\u4e0b\u6587\u3002\u4e00\u79cd\u662f\u5173\u4e8e\u7ba1\u7406\u4ee3\u7406\u5934\u8111\u4e2d\u7684\u5185\u5bb9\u3002\u53e6\u4e00\u4e2a\u5219\u662f\u5173\u4e8e\u5982\u4f55\u6d4f\u89c8\u5916\u90e8\u73af\u5883\u3002.<\/p>\n

\u4e24\u8005\u7684\u7ed3\u5408\u6bd4\u5176\u4e2d\u4efb\u4f55\u4e00\u79cd\u90fd\u66f4\u5f3a\u5927\u3002\u4e00\u4e2a\u65e2\u80fd\u9a7e\u9a6d\u5e9e\u5927\u7684\u5916\u90e8\u73af\u5883\uff0c\u53c8\u80fd\u7ba1\u7406\u7d27\u51d1\u7684\u5185\u90e8\u8bb0\u5fc6\u72b6\u6001\u7684\u4ee3\u7406\uff0c\u5177\u5907\u4e86\u771f\u6b63\u5b9e\u73b0\u957f\u671f\u81ea\u4e3b\u5de5\u4f5c\u6d41\u7a0b\u6240\u9700\u7684\u4e24\u79cd\u80fd\u529b\uff1a\u5e7f\u6cdb\u7684\u611f\u77e5\u80fd\u529b\u548c\u9009\u62e9\u6027\u4fdd\u7559\u80fd\u529b\u3002.<\/p>\n

OpenClaw \u65f6\u523b<\/h2>\n

\u7406\u8bba\u662f\u6709\u7528\u7684\u3002\u751f\u4ea7\u8bc1\u636e\u66f4\u597d\u3002.<\/p>\n

OpenClaw<\/strong> - \u8fd9\u4e2a\u5f00\u6e90\u7684\u4eba\u5de5\u667a\u80fd\u4ee3\u7406\u6846\u67b6\u5728 2026 \u5e74 1 \u6708\u5e95\u63a8\u51fa\u540e\uff0c\u4e0d\u5230\u4e00\u5468\u5c31\u83b7\u5f97\u4e86\u8d85\u8fc7 100,000 \u4e2a GitHub \u661f\u7ea7\uff0c\u662f\u9996\u6279\u5c55\u793a\u8fd9\u4e9b\u539f\u5219\u5728\u7814\u7a76\u57fa\u51c6\u4e4b\u5916\u5927\u89c4\u6a21\u8fd0\u884c\u7684\u7cfb\u7edf\u4e4b\u4e00\u3002.<\/p>\n

OpenClaw \u7684\u67b6\u6784\u4f53\u73b0\u4e86\u4e0a\u8ff0\u878d\u5408\u3002\u5b83\u7684\u8bb0\u5fc6\u7cfb\u7edf\u4f7f\u7528\u5e26\u6709\u65f6\u95f4\u6233\u548c\u5143data\u7684\u7ed3\u6784\u5316 Markdown\uff0c\u4ee5\u7eaf\u6587\u672c\u6587\u4ef6\u7684\u5f62\u5f0f\u5b58\u50a8--\u6ca1\u6709\u4e13\u6709\u7684databases\uff0c\u4e5f\u6ca1\u6709\u52a0\u5bc6\u7684 blob\u3002\u4e0a\u4e0b\u6587\u611f\u77e5\u67e5\u627e\u901a\u8fc7\u8bed\u4e49\u641c\u7d22\u5b9e\u73b0\uff0c\u5373\u4f7f\u7528\u6237\u4f7f\u7528\u4e86\u5b8c\u5168\u4e0d\u540c\u7684\u8bcd\u6c47\uff0c\u4ee3\u7406\u4e5f\u80fd\u627e\u5230\u76f8\u5173\u7684\u8fc7\u5f80\u5bf9\u8bdd\u3002\u5185\u5b58\u4f1a\u81ea\u52a8\u5728\u96c6\u6210\u5de5\u5177\u95f4\u6d41\u52a8\uff0c\u56e0\u6b64\u5f53\u4ee3\u7406\u5728\u4ee3\u7801\u7f16\u8f91\u5668\u6216\u6d4f\u89c8\u5668\u4e2d\u5de5\u4f5c\u65f6\uff0c\u804a\u5929\u4e2d\u63d0\u5230\u7684\u4fe1\u606f\u5c31\u4f1a\u51fa\u73b0\u3002.<\/p>\n

OpenClaw\u4e4b\u6240\u4ee5\u4e0e\u672c\u8ba8\u8bba\u76f8\u5173\uff0c\u4e0d\u4ec5\u4ec5\u662f\u56e0\u4e3a\u5b83\u7684\u5185\u5b58\u67b6\u6784\u3002\u800c\u662f\u5176\u65b9\u6cd5\u7684\u6613\u7528\u6027\u3002OpenClaw \u4ee3\u7406\u53ef\u4ee5\u81ea\u4e3b\u7f16\u5199\u4ee3\u7801\uff0c\u521b\u5efa\u65b0\u6280\u80fd\u5e76\u4fdd\u6301\u957f\u671f\u8bb0\u5fc6\uff0c\u6240\u6709\u8fd9\u4e9b\u90fd\u65e0\u9700\u5fae\u8c03\u3002\u4ee3\u7406\u901a\u8fc7\u4f7f\u7528\u800c\u4e0d\u662f\u68af\u5ea6\u4e0b\u964d\u6765\u5b66\u4e60\u3002\u5185\u5b58\u7ba1\u7406\u53d1\u751f\u5728\u5e94\u7528\u5c42\uff0c\u800c\u4e0d\u662f\u6a21\u578b\u5c42\uff0c\u8fd9\u610f\u5473\u7740\u4efb\u4f55\u56e2\u961f\u90fd\u53ef\u4ee5\u90e8\u7f72\u548c\u5b9a\u5236\u5b83\u3002.
\n2026.2.3 \u7248\u4e13\u95e8\u9488\u5bf9\u957f\u671f\u8fd0\u884c\u5de5\u4f5c\u6d41\u7684\u53ef\u9760\u6027\u95ee\u9898\uff1a\u6539\u8fdb\u5de5\u5177\u6267\u884c\u4e00\u81f4\u6027\u3001\u4f1a\u8bdd\u7ba1\u7406\u3001\u5185\u5b58\u53ef\u9760\u6027\u548c\u4ee3\u7406\u9694\u79bb\uff0c\u4ee5\u5b9e\u73b0\u7a33\u5b9a\u7684\u957f\u671f\u81ea\u52a8\u5316\u3002\u8fd9\u4e9b\u90fd\u4e0d\u662f\u7814\u7a76\u529f\u80fd\u3002\u5b83\u4eec\u662f\u9488\u5bf9\u5185\u5b58\u8bad\u7ec3\u540e\u7814\u7a76\u53d1\u73b0\u7684\u786e\u5207\u6545\u969c\u6a21\u5f0f\u7684\u751f\u4ea7\u4fee\u590d\u3002.<\/p>\n

\u6211\u662f\u8fd9\u6837\u89e3\u8bfb OpenClaw \u7684\u3002\u8fd9\u662f\u7b2c\u4e00\u4e2a\u88ab\u5e7f\u6cdb\u91c7\u7528\u7684\u7cfb\u7edf\uff0c\u5b83\u8bc1\u660e\u4e86\u4f60\u53ef\u4ee5\u5728\u6ca1\u6709\u4efb\u4f55\u4f20\u7edf\u969c\u788d\u7684\u60c5\u51b5\u4e0b\u6784\u5efa\u5177\u6709\u6301\u4e45\u3001\u81ea\u6211\u7ba1\u7406\u5185\u5b58\u7684\u4ee3\u7406\uff1a\u6ca1\u6709\u5fae\u8c03\u6210\u672c\u3001\u6ca1\u6709\u7a00\u7f3a\u7684\u8ba1\u7b97\u8981\u6c42\u3001\u6ca1\u6709\u6df1\u539a\u7684 ML \u4e13\u4e1a\u77e5\u8bc6\u3002\u4ee3\u7406\u7ba1\u7406\u81ea\u5df1\u7684\u4e0a\u4e0b\u6587\u3002\u7528\u6237\u914d\u7f6e\u5de5\u4f5c\u6d41\u3002\u7cfb\u7edf\u8fd0\u884c.<\/p>\n

\u8fd9\u5c31\u662f\u6c11\u4e3b\u5316\u5728\u5b9e\u8df5\u4e2d\u7684\u8868\u73b0\u3002.<\/p>\n

\u4f01\u4e1a\u7ffb\u8bd1\uff1a\u4e3a\u4ec0\u4e48\u4f1a\u6539\u53d8\u6269\u5c55\u7b49\u5f0f<\/h2>\n

\u8ba9\u6211\u628a\u8fd9\u79cd\u878d\u5408\u8f6c\u5316\u4e3a\u4e1a\u52a1\u5f71\u54cd\u3002.<\/p>\n

\u6210\u672c\u95e8\u69db\u964d\u4f4e<\/h3>\n

\u5185\u5b58\u8bad\u7ec3\u540e\u7684\u8ba1\u7b97\u9700\u6c42\u6bd4\u5fae\u8c03\u4f4e\u4e00\u4e2a\u6570\u91cf\u7ea7\u3002AgeMem \u5728\u5355\u4e2a 8xA100 \u8282\u70b9\u4e0a\u8fdb\u884c\u8bad\u7ec3\u3002Memory-R1 \u9700\u8981 152 \u4e2a\u793a\u4f8b\u3002MemAct \u7684 51% \u4e0a\u4e0b\u6587\u7f29\u51cf\u548c MEM1 \u7684\u6052\u5b9a\u5185\u5b58\u5f00\u9500\u76f4\u63a5\u964d\u4f4e\u4e86\u5927\u89c4\u6a21\u63a8\u7406\u7684\u6210\u672c\u3002\u5bf9\u4e8e\u6bcf\u5929\u8fd0\u884c 30,000 \u6b21\u4ee3\u7406\u5bf9\u8bdd\uff08\u6bcf\u6b21 $0.14\uff09\u7684\u4f01\u4e1a\u6765\u8bf4\uff0c50% \u7684\u4e0a\u4e0b\u6587\u7f29\u51cf\u4e0d\u4ec5\u80fd\u5c06\u6210\u672c\u51cf\u534a\uff0c\u8fd8\u80fd\u6539\u53d8\u7ecf\u6d4e\u4e0a\u53ef\u884c\u7684\u65b9\u5f0f\u3002\u5bf9\u4e8e\u4ee3\u7406\u6765\u8bf4\uff0c\u5728\u957f\u65f6\u95f4\u4ea4\u4e92\u4e2d\u5904\u7406\u6210\u672c\u8fc7\u9ad8\u7684\u4efb\u52a1\u53d8\u5f97\u53ef\u884c\u3002.<\/p>\n

\u4e13\u4e1a\u77e5\u8bc6\u95e8\u69db\u964d\u4f4e<\/h3>\n

\u5fae\u8c03\u9700\u8981\u7cbe\u901a\u5206\u5e03\u5f0f\u8bad\u7ec3\u3001\u5956\u52b1\u8bbe\u8ba1\u3001\u68af\u5ea6\u8c03\u8bd5\u548c\u68c0\u67e5\u70b9\u7ba1\u7406\u7684 ML \u5de5\u7a0b\u5e08\u3002\u5185\u5b58\u540e\u8bad\u7ec3\u548c RLM \u5f0f\u5bfc\u822a\u5728\u5e94\u7528\u5c42\u8fd0\u884c\u3002OpenClaw \u4f7f\u7528 Markdown \u6587\u4ef6\u548c\u914d\u7f6e\u8fdb\u884c\u64cd\u4f5c\u3002\u4e13\u4e1a\u6280\u80fd\u4ece \u201c\u4f60\u80fd\u8bad\u7ec3\u4e00\u4e2a\u6a21\u578b\u5417 \u201d\u8f6c\u53d8\u4e3a \u201c\u4f60\u80fd\u8bbe\u8ba1\u4e00\u4e2a\u5de5\u4f5c\u6d41\u7a0b\u5417\u201d--\u8fd9\u662f\u4e00\u4e2a\u66f4\u5927\u7684\u4eba\u624d\u5e93\u3002.<\/p>\n

\u957f\u671f\u53ef\u9760\u6027<\/h3>\n

\u8fd9\u624d\u662f\u66f4\u5927\u7684\u5956\u8d4f\u300260% \u7684\u591a\u4ee3\u7406\u8bd5\u70b9\u65e0\u6cd5\u6269\u5c55\u7684\u539f\u56e0\u4e0d\u662f\u6210\u672c\uff0c\u800c\u662f\u53ef\u9760\u6027\u4e0b\u964d\u3002\u5bf9\u4e8e\u591a\u6b65\u9aa4\u7814\u7a76\u3001\u590d\u6742\u7684\u5ba2\u6237\u670d\u52a1\u3001\u4ee3\u7801\u8fc1\u79fb\u3001\u4e8b\u4ef6\u54cd\u5e94\u7b49\u6700\u91cd\u8981\u7684\u5de5\u4f5c\u6d41\u7a0b\u800c\u8a00\uff0c\u65e0\u6cd5\u5728 50 \u591a\u4e2a\u56de\u5408\u4e2d\u4fdd\u6301\u4e00\u81f4\u72b6\u6001\u7684\u4ee3\u7406\u5728\u64cd\u4f5c\u4e0a\u6beb\u65e0\u7528\u5904\u3002.<\/p>\n

\u540e\u8bb0\u5fc6\u8bad\u7ec3\u76f4\u63a5\u89e3\u51b3\u4e86\u8fd9\u4e00\u95ee\u9898\u3002MEM1 \u53ef\u5728 16 \u4e2a\u76ee\u6807\u4e0a\u4fdd\u6301\u8fd1\u4e4e\u6052\u5b9a\u7684\u6027\u80fd\u3002MemAgent \u53ef\u5728 350 \u4e07\u4e2a\u4ee4\u724c\u4e2d\u4fdd\u6301\u51c6\u786e\u6027\u3002RLM \u5728\u5904\u7406\u8d85\u51fa\u672c\u5730\u7a97\u53e3\u4e24\u4e2a\u6570\u91cf\u7ea7\u7684\u8f93\u5165\u65f6\u4e0d\u4f1a\u51fa\u73b0\u6027\u80fd\u4e0b\u964d\u3002\u4ee3\u7406\u65e2\u80fd\u5728\u5e7f\u9614\u7684\u4e0a\u4e0b\u6587\u4e2d\u5bfc\u822a\uff0c\u53c8\u80fd\u4fdd\u6301\u7d27\u51d1\u7684\u5185\u90e8\u72b6\u6001\uff0c\u8fd9\u79cd\u7ec4\u5408\u4f7f\u591a\u5c0f\u65f6\u7684\u81ea\u4e3b\u5de5\u4f5c\u6d41\u6210\u4e3a\u53ef\u80fd\u3002.<\/p>\n

\u5806\u6808\u4e2d\u9700\u8981\u6ce8\u610f\u7684\u4e09\u70b9<\/h3>\n
    \n
  1. \u8bb0\u5fc6\u662f\u4e00\u79cd\u53ef\u8bad\u7ec3\u7684\u6280\u80fd\uff0c\u800c\u4e0d\u662f\u56fa\u5b9a\u7684\u7ba1\u9053\u3002.<\/strong> \u76ee\u524d\u5df2\u6295\u5165\u4f7f\u7528\u7684\u542f\u53d1\u5f0f\u5185\u5b58\u7cfb\u7edf\uff08Mem0\u3001Zep\u3001LangChain \u5185\u5b58\uff09\u80fd\u5e26\u6765\u771f\u6b63\u7684\u4ef7\u503c\u3002\u4f46\u662f\uff0c\u5b66\u4e60\u578b\u5185\u5b58\u7b56\u7565\u4f18\u4e8e\u624b\u5de5\u8bbe\u8ba1\u7684\u5185\u5b58\u7b56\u7565\uff0c\u5c24\u5176\u662f\u5f53\u4efb\u52a1\u8d8a\u6765\u8d8a\u957f\u65f6\u3002\u8bc4\u4f30\u4f60\u7684\u5185\u5b58\u5c42\u662f\u5426\u53ef\u4ee5\u8fdb\u5316\u3002.<\/li>\n
  2. \u5bfc\u822a\u91cd\u4e8e\u68c0\u7d22\u3002.<\/strong> \u5982\u679c\u4f60\u7684\u4ee3\u7406\u4ec5\u901a\u8fc7 RAG \u8bbf\u95ee\u5927\u578b\u77e5\u8bc6\u5e93\uff0c\u90a3\u4e48\u4f60\u7684\u6027\u80fd\u5c31\u4f1a\u5927\u6253\u6298\u6263\u3002RLM \u6a21\u5f0f--\u4e3a\u4ee3\u7406\u63d0\u4f9b\u63a2\u7d22\u3001\u8fc7\u6ee4\u548c\u9012\u5f52\u67e5\u8be2\u5176\u4e0a\u4e0b\u6587\u7684\u5de5\u5177--\u5bf9\u4e8e\u6df1\u5ea6\u5206\u6790\u4efb\u52a1\u6765\u8bf4\u662f\u4e00\u79cd\u8865\u5145\uff0c\u800c\u4e14\u5f80\u5f80\u66f4\u80dc\u4e00\u7b79\u3002\u5728\u63a5\u4e0b\u6765\u7684 12 \u4e2a\u6708\u91cc\uff0c\u6211\u4eec\u5c06\u671f\u5f85\u8fd9\u79cd\u529f\u80fd\u51fa\u73b0\u5728\u4ee3\u7406\u6846\u67b6\u4e2d\u3002.<\/li>\n
  3. \u5e94\u7528\u5c42\u4f18\u5316\u4f18\u4e8e\u6a21\u578b\u5c42\u5b9a\u5236\u3002.<\/strong> OpenClaw \u6a21\u5f0f--\u901a\u8fc7\u914d\u7f6e\u548c\u8fd0\u884c\u65f6\u5b66\u4e60\u8fdb\u884c\u5185\u5b58\u7ba1\u7406\uff0c\u800c\u4e0d\u662f\u4fee\u6539\u6743\u91cd--\u5f88\u53ef\u80fd\u662f\u5927\u591a\u6570\u7ec4\u7ec7\u4f1a\u91c7\u7528\u7684\u6a21\u5f0f\u3002\u5b83\u4e0d\u8981\u6c42\u4f60\u6210\u4e3a\u4e00\u4e2a\u524d\u6cbf\u5b9e\u9a8c\u5ba4\u3002.<\/li>\n<\/ol>\n

    \u5c40\u9650\u6027\u548c\u5f00\u653e\u6027\u95ee\u9898<\/h2>\n

    \u8d8b\u540c\u662f\u771f\u5b9e\u7684\uff0c\u4f46\u5dee\u8ddd\u4e5f\u662f\u771f\u5b9e\u7684\u3002.<\/p>\n

    \u57f9\u8bad data \u7684\u7a00\u7f3a\u6027\u3002.<\/strong> \u57fa\u4e8e RL \u7684\u5185\u5b58\u8bad\u7ec3\u9700\u8981\u80fd\u8ba9\u4ee3\u7406\u5927\u89c4\u6a21\u7ec3\u4e60\u5185\u5b58\u7ba1\u7406\u7684\u73af\u5883\u3002\u5927\u591a\u6570\u8bba\u6587\u90fd\u4f7f\u7528\u5408\u6210\u4efb\u52a1\u6216\u72ed\u7a84\u7684\u57fa\u51c6\u3002\u8fd9\u4e9b\u8bad\u7ec3\u4fe1\u53f7\u662f\u5426\u80fd\u5e94\u7528\u4e8e\u7eb7\u7e41\u590d\u6742\u7684\u4f01\u4e1a\u5de5\u4f5c\u6d41\u7a0b\uff0c\u76ee\u524d\u5c1a\u672a\u5f97\u5230\u8bc1\u5b9e\u3002.<\/p>\n

    \u5956\u52b1\u5de5\u7a0b\u5f88\u8106\u5f31\u3002.<\/strong> Mem-agent \u56e2\u961f\u7684\u7ecf\u9a8c\u5f88\u6709\u542f\u53d1\u6027\uff1a\u6700\u521d\u7684\u5956\u52b1\u8bbe\u8ba1\u5bfc\u81f4\u6a21\u578b\u73a9\u683c\u5f0f\u5956\u52b1\u6e38\u620f\uff0c\u800c\u4e0d\u662f\u89e3\u51b3\u4efb\u52a1\u3002\u5728\u627e\u5230\u4e00\u4e2a\u7a33\u5b9a\u7684\u914d\u65b9\u4e4b\u524d\uff0c\u4ed6\u4eec\u7ecf\u5386\u4e86\u591a\u6b21\u53cd\u590d\u3002\u8fd9\u5e76\u975e\u5373\u63d2\u5373\u7528\u3002.<\/p>\n

    \u9ad8\u7a7a\u5bfc\u822a\u3002.<\/strong> \u7531\u4e8e\u5b50 LLM \u5e76\u884c\u5316\u5f00\u9500\uff0cRLM \u59cb\u7ec8\u9700\u8981\u66f4\u591a\u7684\u6302\u949f\u65f6\u95f4\u3002\u5bf9\u4e8e\u5ef6\u8fdf\u654f\u611f\u578b\u5e94\u7528\uff08\u804a\u5929\u673a\u5668\u4eba\u3001\u5b9e\u65f6\u5ba2\u6237\u652f\u6301\uff09\uff0c\u4f20\u7edf\u7684 RAG \u4ecd\u7136\u662f\u66f4\u5feb\u7684\u9009\u62e9\u3002RLM \u7684\u6743\u8861\u504f\u91cd\u4e8e\u51c6\u786e\u6027\u800c\u975e\u901f\u5ea6\uff0c\u8fd9\u9650\u5236\u4e86\u5b83\u5728\u6df1\u5ea6\u5206\u6790\u548c\u957f\u65f6\u95f4\u8fd0\u884c\u7684\u5de5\u4f5c\u6d41\u4e2d\u7684\u9002\u7528\u6027\u3002.<\/p>\n

    \u591a\u6a21\u6001\u8bb0\u5fc6\u662f\u65e9\u671f\u8bb0\u5fc6\u3002.<\/strong> \u6240\u6709\u516b\u7bc7\u57f9\u8bad\u540e\u8bba\u6587\u90fd\u4fa7\u91cd\u4e8e\u6587\u672c\u3002\u5904\u7406\u56fe\u50cf\u3001\u7ed3\u6784\u5316 data\u3001\u5de5\u5177\u8f93\u51fa\u6216\u6df7\u5408\u6a21\u5f0f\u7684\u4ee3\u7406\u9700\u8981\u80fd\u591f\u5904\u7406\u5f02\u6784\u5185\u5bb9\u7684\u8bb0\u5fc6\u7cfb\u7edf\u3002\u76ee\u524d\u8fd8\u6ca1\u6709\u4eba\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002.<\/p>\n

    \u5b89\u5168\u8868\u9762\u3002.<\/strong> \u6301\u7eed\u5b58\u5728\u5e76\u4e0d\u65ad\u6f14\u5316\u7684\u5185\u5b58\u4f1a\u4ea7\u751f\u653b\u51fb\u8f7d\u4f53\u3002\u5bf9\u6297\u6027\u8f93\u5165\u4f1a\u6bd2\u5bb3\u957f\u671f\u8bb0\u5fc6\u3002\u8fc7\u5ea6\u4fdd\u7559\u4f1a\u5f15\u53d1\u53d7\u76d1\u7ba1\u884c\u4e1a\u7684\u9690\u79c1\u95ee\u9898\u3002OpenClaw\u76842026.2.3\u7248\u672c\u63d0\u4f9b\u4e86\u66f4\u5f3a\u7684\u53ca\u65f6\u6ce8\u5165\u4fdd\u62a4\uff0c\u89e3\u51b3\u4e86\u5176\u4e2d\u7684\u4e00\u4e9b\u95ee\u9898\uff0c\u4f46\u5bf9\u5b66\u4e60\u5185\u5b58\u7b56\u7565\u7684\u66f4\u5e7f\u6cdb\u5b89\u5168\u5f71\u54cd\u4ecd\u672a\u8fdb\u884c\u6df1\u5165\u63a2\u8ba8\u3002.<\/p>\n

    \u672a\u6765\u8d70\u5411<\/h2>\n

    \u5728\u77ed\u77ed\u51e0\u4e2a\u6708\u7684\u65f6\u95f4\u91cc\uff0c\u6709\u4e09\u9879\u8fdb\u5c55\u4ea4\u6c47\u5728\u4e00\u8d77\u3002\u8bb0\u5fc6\u540e\u8bad\u7ec3\u6559\u4ee3\u7406\u8bb0\u4f4f\u4ec0\u4e48\u3002\u9012\u5f52\u8bed\u8a00\u6a21\u578b\u6559\u4ee3\u7406\u5982\u4f55\u6d4f\u89c8\u5c1a\u672a\u8bb0\u4f4f\u7684\u5185\u5bb9\u3002\u800c\u50cf OpenClaw \u8fd9\u6837\u7684\u751f\u4ea7\u7cfb\u7edf\u5219\u8bc1\u660e\uff0c\u8fd9\u4e9b\u529f\u80fd\u53ef\u4ee5\u5728\u6ca1\u6709\u5fae\u8c03\u3001\u7a00\u7f3a\u8ba1\u7b97\u548c\u6df1\u5ea6 ML \u4e13\u4e1a\u77e5\u8bc6\u7b49\u4f20\u7edf\u969c\u788d\u7684\u60c5\u51b5\u4e0b\u5b9e\u73b0\u3002.<\/p>\n

    \u53d1\u5c55\u8f68\u8ff9\u662f\u6e05\u6670\u7684\u3002\u5728\u7b2c\u4e00\u9636\u6bb5\uff08\u73b0\u5728\uff09\uff0c\u542f\u53d1\u5f0f\u8bb0\u5fc6\u7cfb\u7edf\u548c RAG \u662f\u751f\u4ea7\u6807\u51c6\u3002\u5b83\u4eec\u884c\u4e4b\u6709\u6548\u3002\u4f7f\u7528\u5b83\u4eec\u3002\u5728\u7b2c 2 \u9636\u6bb5\uff082026-2027 \u5e74\uff09\uff0c\u7ecf\u8fc7 RL \u8bad\u7ec3\u7684\u8bb0\u5fc6\u6a21\u5757\u53ef\u4f5c\u4e3a\u63d2\u4ef6\u7ec4\u4ef6\u4f7f\u7528\uff0c\u8fd9\u4e9b\u5c0f\u578b\u4e13\u7528\u6a21\u578b\u53ef\u5904\u7406\u5927\u578b\u63a8\u7406\u6a21\u578b\u7684\u8bb0\u5fc6\u7ba1\u7406\u3002RLM \u5f0f\u5bfc\u822a\u5c06\u6210\u4e3a\u6807\u51c6\u7684\u4ee3\u7406\u80fd\u529b\u3002\u5728\u7b2c 3 \u9636\u6bb5\uff082027+\uff09\uff0c\u8bb0\u5fc6\u8bad\u7ec3\u548c\u4e0a\u4e0b\u6587\u5bfc\u822a\u5c06\u4e0e\u6307\u4ee4\u8c03\u6574\u548c\u63a8\u7406 RL \u4e00\u8d77\u5e76\u5165\u6807\u51c6\u7684\u540e\u8bad\u7ec3\u6d41\u6c34\u7ebf\u3002.<\/p>\n

    RL \u8bb0\u5fc6\u7a76\u7adf\u662f\u7b54\u6848\uff0c\u8fd8\u662f\u66f4\u5927\u8c1c\u9898\u4e2d\u7684\u4e00\u4e2a\u7247\u6bb5\uff0c\u76ee\u524d\u8fd8\u6ca1\u6709\u5b9a\u8bba\u3002\u660e\u5e74\u53ef\u80fd\u4f1a\u51fa\u73b0\u5b8c\u5168\u4e0d\u540c\u7684\u4e1c\u897f\u3002\u4f46\u662f\uff0c\u6709\u8fd9\u4e48\u591a\u72ec\u7acb\u56e2\u961f\u8fbe\u6210\u4e86\u8fd9\u4e00\u65b9\u6cd5\uff0c\u518d\u52a0\u4e0a\u50cf OpenClaw \u8fd9\u6837\u7684\u751f\u4ea7\u7cfb\u7edf\u91c7\u7528\u8fd9\u4e00\u539f\u5219\u7684\u901f\u5ea6\u4e4b\u5feb\uff0c\u662f\u5f88\u96be\u8ba9\u4eba\u5ffd\u89c6\u7684\u3002\u8fd9\u79cd\u8d8b\u540c\u901a\u5e38\u610f\u5473\u7740\u4ec0\u4e48\u3002.<\/p>\n

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