{"id":51836,"date":"2026-04-05T09:49:54","date_gmt":"2026-04-05T01:49:54","guid":{"rendered":"https:\/\/www.1ai.net\/?p=51836"},"modified":"2026-04-03T15:56:49","modified_gmt":"2026-04-03T07:56:49","slug":"%e4%bb%80%e4%b9%88%e6%98%af-agent%e8%ae%b0%e5%bf%86%ef%bc%9f%e5%b0%8f%e7%99%bd%e5%85%a5%e9%97%a8%e5%bf%85%e7%9c%8b%e7%9a%84-ai-%e6%99%ba%e8%83%bd%e4%bd%93%e7%9f%a5%e8%af%86","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/51836.html","title":{"rendered":"What's Agent's memory? It's all about AI"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51837\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/e6608cb0j00tcwr3n005jd000iw007kp.jpg\" alt=\"\" width=\"680\" height=\"272\" \/><\/p>\n<p>About Openclaw memory, you just need to see this\u3002<\/p>\n<p>NO PAPERS, NO WORDS. AFTER READING THIS, YOU'LL KNOW MORE ABOUT AI THAN 901 TP3T\u3002<\/p>\n<p>I'll take it<a href=\"https:\/\/www.1ai.net\/en\/tag\/openclaw\" title=\"[See articles with [OpenClaw] label]\" target=\"_blank\" >OpenClaw<\/a> TAKE A LOOK AT HOW THE ENGINEERS ARE GIVING AI ONE STEP AT A TIME<\/p>\n<p>From the roughest of options to the most forward line of thinking\u3002<\/p>\n<p><strong>AI, WHY AMNESIA<\/strong><\/p>\n<p>LET'S FIND OUT THE BASIC QUESTION: WHAT IS AI'S BRAIN\u3002<\/p>\n<p>When you talk to ChatGPT, Claude, these AIs, you probably think it's like a human being, and you remember what you talk about\u3002<\/p>\n<p>Not really\u3002<\/p>\n<p>AI'S BRAIN IS NOT A HARD DRIVE, IT'S A DESK. THE SIZE OF THE DESK IS FIXED, AND EVERY WORD YOU SAY TO IT, AND EVERY WORD IT RETURNS, IS A PIECE OF PAPER ON THE TABLE. WHEN THE TABLE IS FULL, THE NEW PAPER WILL NOT BE RELEASED\u3002<\/p>\n<p>This desk, technically called the context window\u3002<\/p>\n<p>Now the big model, the table's not small, Claude's table probably opens up a whole Harry Potter. That sounds big. But the problem is that every word you talk about itself is on the table. The longer the conversation takes, the thicker the record of the dialogue on the table, the less room is left for real work\u3002<\/p>\n<p>EVEN WORSE, AI DOESN'T HAVE A DRAWER. HUMANS CAN PUT WHAT IS NOT NEEDED FOR THE TIME BEING IN THE DRAWER AND TURN IT OUT WHEN THEY NEED IT. BUT FOR AI, THERE IS NOTHING ON THE TABLE\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51838\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/54e17963j00tcwr4700afd000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>\n<p>When the table is full, old things are pushed down and left empty\u3002<\/p>\n<p>IT'S NOT AI STUPID, IT'S STRUCTURAL CONSTRAINTS. JUST LIKE YOUR BROWSER, IT'S THIS BIG, ROLL DOWN AND IT'S INVISIBLE. THE DIFFERENCE IS, YOU CAN STILL TURN BACK, AI CAN'T. GET THE HELL OUT OF HERE, IT DOESN'T EXIST FOR IT\u3002<\/p>\n<p>What if the table's full? The most intuitive idea is to rub old paper, press it, and make room\u3002<\/p>\n<p>OpenClaw's first plan, that's all\u3002<\/p>\n<p><strong>Option 1: Scroll old notes into paper<\/strong><\/p>\n<p>OpenClaw is an open-source AI programming assistant platform that you can interpret as an AI programmer management system\u3002<\/p>\n<p>It initially dealt with memory in a simple and brutal manner:<\/p>\n<p>WHEN THE DIALOGUE IS FULL OF DESKTOP 92%, THE SYSTEM AUTOMATICALLY TRIGGERS COMPRESSION. KEEPS THE MOST RECENT THREE ROUNDS OF DIALOGUE, WITH ALL THE PREVIOUS CONTENTS PACKAGED FOR ANOTHER AI SUMMARY. FINISH THE SUMMARY AND POST IT BACK TO THE DESKTOP\u3002<\/p>\n<p>What about the conversation? Delete permanently. Can't find it back\u3002<\/p>\n<p>Just like your desk's almost full, you put 20 pages in front of you and asked your colleagues to write you a summary and throw that 20 pages into the shredder. The table is clear, but next time you want to remember how much that parameter was, I'm sorry, it's not back in the shredder\u3002<\/p>\n<p>The programme has three questions:<\/p>\n<p>FIRST, THE SUMMARY WILL LOSE DETAILS. YOU TOLD AI THAT THE VARIABLE NAME WAS CHANGED, 20 ROUNDS LATER THE INFORMATION WAS COMPRESSED, AND AI USED THE OLD NAME BACK\u3002<\/p>\n<p>SECOND, IRREVERSIBLE. THE ORIGINAL DIALOGUE WAS PERMANENTLY LOST AND IT WAS IMPOSSIBLE TO FIND OUT WHY OPTION A HAD BEEN CHOSEN\u3002<\/p>\n<p>Thirdly, the pressure gets worse. If the compression triggers more than one time, it is a summary of the summary, and the information appears to be reproduced over and over again and is becoming less visible\u3002<\/p>\n<p>It works, but it's thrown every time it's compressed. The longer we talk, the more we lose\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51839\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/3649c412j00tcwr4y007zd000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>\n<p>Is there any way to compress, but not to throw things away<\/p>\n<p><strong>Programme II: Establishment of a layered archive<\/strong><\/p>\n<p>A strong team in the OpenClaw community made a second-generation program called Losles Cloud. The core commitment is intact, and the original message is always kept and none is deleted\u3002<\/p>\n<p>It's very clever. Do not delete the original and develop a thumbnail system\u3002<\/p>\n<p>Imagine Google Earth. You won't load every inch of the world's street view at the same time. You see: Earth's panorama, zoom in on the country, zoom in on the city, pull into the street\u3002<\/p>\n<p>This is what Losles Cloud did:<\/p>\n<ul>\n<li>Bottom (street view): Every original conversation, one word at a time, always in a local database<\/li>\n<li>Mid-level (city map): Summaries of relevant dialogues<\/li>\n<li>Top level (country map): global summary of the entire dialogue<\/li>\n<\/ul>\n<p>Only the top-level summary is displayed on the desktop. Need details? Just turn it down. It's always there\u3002<\/p>\n<p>Much better than option one. At least don't throw things away\u3002<\/p>\n<p>But deep down, three questions came up:<\/p>\n<p>FIRST, A NEW DIALOGUE WINDOW IS A MEMORY LOSS. THE ARCHIVE SERVES ONLY ONE DIALOGUE. YOU TURN OFF THE WINDOW AND OPEN A NEW, AI, ANOTHER WHITE PAPER. THE PITS THAT HAD BEEN STEPPED ON BY THE PREVIOUS PROJECT HAD YET TO BE STEPPED AGAIN\u3002<\/p>\n<p>Secondly, the desktop will be full. Although the originals were entered into the warehouse, the digest itself took up space. The longer the dialogue, the thicker the summary. Like more and more of your books, it's half a table\u3002<\/p>\n<p>THIRD, THE WAREHOUSE WAS TOO SLOW. TO FIND A SPECIFIC ORIGINAL RECORD, IT HAS TO BE CARRIED OUT FROM THE TOP LEVEL, THE PROCESS HAS TO CALL AI REPEATEDLY, AND YOU MAY HAVE TO WAIT TWO MINUTES TO GET THE RESULTS\u3002<\/p>\n<p>It did. But when you need it to remember, it turns too slow. And each time a new conversation takes place, it amounts to a new empty house\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51840\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/f62dee3cj00tcwr5n00add000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>\n<p>Here comes a more fundamental question:<\/p>\n<p>Both options are thinking of the same thing, how to put more and more into a limited table. One is to throw away, one is to compress\u3002<\/p>\n<p>But is it possible that the thought itself is wrong<\/p>\n<p><strong>Option three: Don't pile it on the table. Just take it as needed<\/strong><\/p>\n<p>That's MemOS' idea. I've been working on my own, and I've seen it <a href=\"https:\/\/www.1ai.net\/en\/tag\/agent\" title=\"[View articles tagged with [Agent]]\" target=\"_blank\" >Agent<\/a> Remember the most complete solution to this. It's a plugin for OpenClaw, open source free, 100% locally run, all data on your own computer, and zero upload\u3002<\/p>\n<p>MemOS \u4e0d\u518d\u7ea0\u7ed3\u600e\u4e48\u538b\u7f29\uff0c\u5b83\u95ee\u4e86\u4e00\u4e2a\u5b8c\u5168\u4e0d\u540c\u7684\u95ee\u9898\uff1a\u4e3a\u4ec0\u4e48\u6240\u6709\u4e1c\u897f\u90fd\u5f97\u653e\u684c\u4e0a\uff1f<\/p>\n<p>\u524d\u4e24\u4e2a\u65b9\u6848\u50cf\u4ec0\u4e48\uff1f\u50cf\u4f60\u8981\u51fa\u5dee\uff0c\u786c\u5f80\u4e00\u4e2a\u884c\u674e\u7bb1\u91cc\u585e\u6240\u6709\u7684\u8863\u670d\u3002\u4e00\u79cd\u662f\u6254\u6389\u51e0\u4ef6\uff08Legacy\uff09\uff0c\u4e00\u79cd\u662f\u7528\u771f\u7a7a\u538b\u7f29\u888b\uff08Lossless Cloud\uff09\u3002\u884c\u674e\u7bb1\u8fd8\u662f\u90a3\u4e48\u5927\uff0c\u65e9\u665a\u585e\u6ee1\u3002<\/p>\n<p>MemOS \u8bf4\uff1a\u522b\u80cc\u884c\u674e\u7bb1\u4e86\u3002\u628a\u8863\u670d\u653e\u5728\u8863\u67dc\u91cc\uff0c\u51fa\u95e8\u53ea\u5e26\u4eca\u5929\u8981\u7a7f\u7684\u3002<\/p>\n<p>\u5177\u4f53\u600e\u4e48\u505a\u5230\u7684\uff1f<\/p>\n<p>\u5168\u91cf\u8bb0\u5f55\uff0c\u4f46\u4e0d\u5f80\u684c\u4e0a\u653e\u3002 \u4f60\u8ddf AI \u7684\u6bcf\u4e00\u53e5\u5bf9\u8bdd\u3001\u6bcf\u4e00\u6b21\u64cd\u4f5c\uff0c\u90fd\u81ea\u52a8\u5b58\u8fdb\u4e00\u4e2a\u72ec\u7acb\u7684\u672c\u5730\u6570\u636e\u5e93\u3002\u4e0d\u6311\u4e0d\u62e3\uff0c\u5168\u5b58\u3002\u4f46\u8fd9\u4e9b\u8bb0\u5f55\u4e0d\u5360\u684c\u9762\uff0c\u5b83\u4eec\u5b89\u9759\u5730\u5f85\u5728\u6570\u636e\u5e93\u91cc\u3002\u5982\u679c\u4f60\u4e4b\u524d\u7528\u7684\u662f OpenClaw \u81ea\u5e26\u7684\u8bb0\u5fc6\u529f\u80fd\uff0cMemOS \u652f\u6301\u4e00\u952e\u8fc1\u79fb\uff0c\u4e4b\u524d\u79ef\u7d2f\u7684\u4e0a\u4e0b\u6587\u4e0d\u4f1a\u767d\u8d39\u3002<\/p>\n<p>\u6309\u9700\u68c0\u7d22\uff0c\u53ea\u8c03\u76f8\u5173\u7684\u3002 AI \u63a5\u5230\u65b0\u4efb\u52a1\u65f6\uff0c\u4e0d\u4f1a\u628a\u6240\u6709\u5386\u53f2\u642c\u4e0a\u684c\u9762\uff0c\u800c\u662f\u50cf\u641c\u7d22\u5f15\u64ce\u4e00\u6837\uff0c\u6839\u636e\u5f53\u524d\u4efb\u52a1\u53bb\u6570\u636e\u5e93\u91cc\u68c0\u7d22\uff0c\u53ea\u8c03\u51fa\u76f8\u5173\u7684\u51e0\u6761\u3002\u4e0a\u5468\u914d\u8fc7 Nginx\uff1f\u8fd9\u6b21\u4efb\u52a1\u8ddf Nginx \u6709\u5173\uff0c\u90a3\u6761\u8bb0\u5fc6\u81ea\u52a8\u51fa\u73b0\u3002\u65e0\u5173\u7684\u4e0d\u5360\u4e00\u5bf8\u684c\u9762\u3002<\/p>\n<p>\u8fd9\u4e2a\u6309\u9700\u53d6\u7684\u6548\u679c\u6709\u591a\u5927\uff1fMemOS \u56e2\u961f\u8dd1\u4e86\u4e24\u7ec4\u5b9e\u6d4b\u3002<\/p>\n<p>\u7b2c\u4e00\u7ec4\u662f\u516c\u5f00\u6570\u636e\u96c6 LOCOMO \u7684\u6d4b\u8bd5\uff1atoken \u6d88\u8017\u76f4\u63a5\u964d\u4e86 72% \u4ee5\u4e0a\uff0c\u540c\u65f6\u51c6\u786e\u7387\u53cd\u800c\u63d0\u5347\u4e86 33.5%\u3002\u7701\u94b1\u7684\u540c\u65f6\u8fd8\u7b54\u5f97\u66f4\u51c6\uff0c\u56e0\u4e3a\u4e0a\u4e0b\u6587\u91cc\u585e\u7684\u90fd\u662f\u76f8\u5173\u4fe1\u606f\uff0c\u566a\u97f3\u5c11\u4e86\u3002<\/p>\n<p>\u7b2c\u4e8c\u7ec4\u662f\u771f\u5b9e\u5de5\u7a0b\u573a\u666f\uff0c\u8de8\u591a\u4e2a\u4f1a\u8bdd\u5b8c\u6210\u590d\u6742\u5f00\u53d1\u4efb\u52a1\uff1a\u5bf9\u8bdd\u8f6e\u6b21\u4ece\u5e73\u5747 116 \u8f6e\u964d\u5230 54 \u8f6e\uff0c\u603b token \u6d88\u8017\u4ece 220 \u4e07\u964d\u5230 112 \u4e07\uff0c\u780d\u6389\u4e86 49%\u3002\u4efb\u52a1\u5b8c\u6210\u901f\u5ea6\u63d0\u5347 2.15 \u500d\u3002<\/p>\n<p>\u4ee5\u524d\u684c\u9762\u6d88\u8017\u8ddf\u804a\u4e86\u591a\u4e45\u6210\u6b63\u6bd4\uff0c\u73b0\u5728\u8ddf\u5f53\u524d\u4efb\u52a1\u9700\u8981\u4ec0\u4e48\u6302\u94a9\uff0c\u57fa\u672c\u6052\u5b9a\u3002<\/p>\n<p>\u81ea\u52a8\u603b\u7ed3\uff0c\u6d53\u7f29\u7ecf\u9a8c\u3002 \u6bcf\u5b8c\u6210\u4e00\u4e2a\u4efb\u52a1\uff0c\u7cfb\u7edf\u81ea\u52a8\u751f\u6210\u7ed3\u6784\u5316\u603b\u7ed3\uff1a\u505a\u4e86\u4ec0\u4e48\u3001\u7ed3\u8bba\u662f\u4ec0\u4e48\u3001\u8e29\u4e86\u4ec0\u4e48\u5751\u3002\u4e24\u5c0f\u65f6\u7684\u8c03\u8bd5\u8fc7\u7a0b\uff0c\u6d53\u7f29\u6210\u4e00\u5f20\u5361\u7247\u3002\u4e0b\u6b21\u9047\u5230\u7c7b\u4f3c\u4efb\u52a1\uff0c\u76f4\u63a5\u8c03\u51fa\u5361\u7247\u5c31\u884c\u3002<\/p>\n<p>\u6280\u80fd\u81ea\u52a8\u8fdb\u5316\u3002 \u8fd9\u6761\u6700\u72e0\u3002\u7cfb\u7edf\u4f1a\u4ece\u91cd\u590d\u51fa\u73b0\u7684\u6a21\u5f0f\u91cc\u63d0\u70bc\u51fa\u53ef\u590d\u7528\u7684 Skill\u3002\u6bd4\u5982\u4f60\u8ba9 AI \u8fde\u7eed\u4e09\u6b21\u7528\u540c\u6837\u7684\u65b9\u5f0f\u5904\u7406 CSV \u6587\u4ef6\uff0c\u5b83\u81ea\u52a8\u603b\u7ed3\u51fa\u4e00\u6761\u89c4\u5219\uff0c\u4e0b\u6b21\u76f4\u63a5\u7167\u7740\u6765\u3002\u800c\u4e14\u8fd9\u4e9b Skill \u4e0d\u662f\u4e00\u6210\u4e0d\u53d8\u7684\uff0c\u9047\u5230\u66f4\u597d\u7684\u505a\u6cd5\uff0c\u5b83\u4f1a\u81ea\u5df1\u5347\u7ea7\u3002\u5c31\u50cf\u65b0\u5458\u5de5\u4ece\u4ec0\u4e48\u90fd\u8981\u95ee\u53d8\u6210\u6709\u4e86\u81ea\u5df1\u7684\u5de5\u4f5c\u65b9\u6cd5\u8bba\uff0c\u8fd8\u5728\u6301\u7eed\u8fed\u4ee3\u3002<\/p>\n<p>\u8de8\u5bf9\u8bdd\u3001\u8de8 Agent \u5171\u4eab\u3002 \u524d\u4e24\u4e2a\u65b9\u6848\uff0c\u6362\u4e2a\u5bf9\u8bdd\u7a97\u53e3 AI \u5c31\u5931\u5fc6\u4e86\u3002MemOS \u4e0d\u4f1a\u3002\u65b0\u5bf9\u8bdd\u5f00\u59cb\u65f6\uff0c\u7cfb\u7edf\u81ea\u52a8\u68c0\u7d22\u76f8\u5173\u8bb0\u5fc6\u6ce8\u5165\u8fdb\u6765\uff0c\u4e0a\u4e2a\u9879\u76ee\u7684\u7ecf\u9a8c\u8fd9\u4e2a\u9879\u76ee\u76f4\u63a5\u80fd\u7528\u3002\u5982\u679c\u4f60\u6709\u591a\u4e2a Agent\uff0c\u6bd4\u5982\u4e00\u4e2a\u5199\u4ee3\u7801\uff0c\u4e00\u4e2a\u8dd1\u6d4b\u8bd5\uff0c\u5b83\u4eec\u5171\u4eab\u540c\u4e00\u4e2a\u8bb0\u5fc6\u5e93\uff0c\u4e00\u4e2a\u4eba\u8e29\u7684\u5751\u5168\u56e2\u961f\u90fd\u80fd\u770b\u5230\u3002MemOS \u7ba1\u8fd9\u4e2a\u53eb MemOS Hub\uff0c\u672c\u8d28\u4e0a\u5c31\u662f\u4e00\u4e2a\u56e2\u961f\u77e5\u8bc6\u4e2d\u67a2\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51841\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/410a2e58j00tcwr6a008hd000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>\n<p>\u4e09\u79cd\u65b9\u6848\u653e\u5728\u4e00\u8d77\u770b<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51842\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/7ced19e0j00tcwr30001rd000iw006ym.jpg\" alt=\"\" width=\"680\" height=\"250\" \/><\/p>\n<p>\u4e09\u4e2a\u65b9\u6848\uff0c\u5bf9\u5e94\u4e86\u4e09\u79cd\u5b8c\u5168\u4e0d\u540c\u7684\u8bb0\u5fc6\u89c2\uff1a<\/p>\n<p>\u65b9\u6848\u4e00\u89c9\u5f97\u8bb0\u5fc6\u662f\u8d1f\u62c5\uff0c\u592a\u591a\u4e86\uff0c\u5f97\u538b\u7f29\u6389\u3002<\/p>\n<p>\u65b9\u6848\u4e8c\u89c9\u5f97\u8bb0\u5fc6\u662f\u8d44\u4ea7\uff0c\u4e0d\u80fd\u4e22\uff0c\u5f97\u4fdd\u5b58\u597d\u3002<\/p>\n<p>\u65b9\u6848\u4e09\u89c9\u5f97\u8bb0\u5fc6\u662f\u80fd\u529b\uff0c\u4e0d\u53ea\u662f\u5b58\u7740\uff0c\u8fd8\u5f97\u4f1a\u7528\uff0c\u8fd8\u5f97\u80fd\u8fdb\u5316\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51843\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/dc2e2636j00tcwr6l00bcd000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>\n<p>\u60f3\u8bd5\u8bd5 MemOS\uff1f<\/p>\n<p>MemOS \u662f OpenClaw \u7684\u63d2\u4ef6\uff0c\u5f00\u6e90\u514d\u8d39\uff0c\u4e00\u884c\u547d\u4ee4\u5c31\u80fd\u88c5\u3002<\/p>\n<p>Mac \/ Linux\uff1a<\/p>\n<pre><code class=\"language-bash\">\r\ncurl -fsSL https:\/\/cdn.memtensor.com.cn\/memos-local-openclaw\/install.sh | bash<\/code><\/pre>\n<p>Windows\uff08PowerShell\uff09\uff1a<\/p>\n<pre><code class=\"language-bash\">powershell -c \"irm https:\/\/cdn.memtensor.com.cn\/memos-local-openclaw\/install.ps1 | iex\"<\/code><\/pre>\n<p>\u63d2\u4ef6\u4e3b\u9875\u548c\u6587\u6863\uff1a<\/p>\n<p>https:\/\/memos-claw.openmem.net\/<\/p>\n<p>\u88c5\u5b8c\u914d\u597d\u5927\u6a21\u578b\u5c31\u80fd\u7528\uff0c\u4e0d\u9700\u8981\u989d\u5916\u7684\u6570\u636e\u5e93\u548c\u5916\u90e8\u4f9d\u8d56\u3002<\/p>\n<p><strong>\u8bb0\u5fc6\u51b3\u5b9a\u4e86 AI \u80fd\u8d70\u591a\u8fdc<\/strong><\/p>\n<p>\u56de\u5230\u5f00\u5934\u7684\u627f\u8bfa\u3002<\/p>\n<p>\u4e00\u4e2a\u6ca1\u6709\u8bb0\u5fc6\u7684 AI\uff0c\u518d\u806a\u660e\u4e5f\u53ea\u662f\u6c38\u8fdc\u505c\u5728\u5165\u804c\u7b2c\u4e00\u5929\u7684\u5b9e\u4e60\u751f\u3002\u6bcf\u5929\u6765\u90fd\u5f88\u5389\u5bb3\uff0c\u4f46\u6628\u5929\u6559\u7684\u4e1c\u897f\u4eca\u5929\u5168\u5fd8\u4e86\u3002<\/p>\n<p>\u65b9\u6848\u4e00\u7ed9\u4e86\u5b83\u4e00\u672c\u8d8a\u5199\u8d8a\u6a21\u7cca\u7684\u6458\u8981\u7b14\u8bb0\u3002\u65b9\u6848\u4e8c\u7ed9\u4e86\u5b83\u4e00\u4e2a\u7ffb\u5f97\u52a8\u4f46\u7ffb\u5f97\u6162\u7684\u6863\u6848\u9986\u3002\u65b9\u6848\u4e09\u7ed9\u4e86\u5b83\u4e00\u5957\u771f\u6b63\u80fd\u7528\u7684\u77e5\u8bc6\u7ba1\u7406\u7cfb\u7edf\uff0c\u80fd\u5b58\u3001\u80fd\u67e5\u3001\u80fd\u5b66\u3001\u80fd\u8fdb\u5316\u3002<\/p>\n<p>Agent \u8bb0\u5fc6\u8fd9\u4ef6\u4e8b\u8fd8\u5f88\u65e9\u671f\uff0c\u4f46\u65b9\u5411\u5df2\u7ecf\u5f88\u660e\u786e\u4e86\u3002\u672a\u6765\u7684 AI \u4e0d\u53ea\u4f1a\u66f4\u806a\u660e\uff0c\u8fd8\u4f1a\u66f4\u8bb0\u4e8b\u3002<\/p>\n<p>\u4e00\u4e2a\u8bb0\u4e8b\u7684 AI\uff0c\u624d\u662f\u4e00\u4e2a\u4f60\u613f\u610f\u957f\u671f\u5408\u4f5c\u7684 AI\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-51844\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/04\/d8b8984cj00tcwr74009md000iw00akp.jpg\" alt=\"\" width=\"680\" height=\"380\" \/><\/p>","protected":false},"excerpt":{"rendered":"<p>About Openclaw memory, you just need to see this. No papers, no words. After reading this, you'll know more about AI than 901 TP3T. I'll take OpenClaw, and I'll show you how the engineers step by step give AI a cure from the roughest to the cutting edge. AI's memory loss begins with a basic question: what does AI's brain look like? When you talk to ChatGPT, Claude, these AIs, you probably think it's like a human being, and you remember what you talk about. Not really. AI's brain is not a hard drive, it's a desk. The size of the desk is fixed. Every word you say to it, every word you say to it, every word you say to it<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[144],"tags":[1405,8229,8433],"collection":[],"class_list":["post-51836","post","type-post","status-publish","format-standard","hentry","category-baike","tag-agent","tag-openclaw","tag-8433"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/51836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=51836"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/51836\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=51836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=51836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=51836"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=51836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}