{"id":96333,"date":"2026-08-27T16:31:06","date_gmt":"2026-08-27T08:31:06","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/96333.html"},"modified":"2026-08-27T16:31:06","modified_gmt":"2026-08-27T08:31:06","slug":"github-%e7%83%ad%e6%a6%9c%e9%a1%b9%e7%9b%ae-%e5%91%a8%e6%a6%9c2026-08-22","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/96333.html","title":{"rendered":"GitHub \u70ed\u699c\u9879\u76ee - \u5468\u699c(2026-08-22)"},"content":{"rendered":"<h2>GitHub \u70ed\u699c\u9879\u76ee &#8211; \u5468\u699c(2026-08-22)<\/h2>\n<p>\u751f\u6210\u4e8e&#xff1a;2026-08-22<\/p>\n<h2>\u7edf\u8ba1\u6458\u8981<\/h2>\n<p>\u5171\u53d1\u73b0\u70ed\u95e8\u9879\u76ee&#xff1a; 16 \u4e2a<\/p>\n<p>Token\u8d5e\u52a9&#xff1a;siliconflow<\/p>\n<p>\u524d\u4e9b\u5929\u53d1\u73b0\u4e86\u4e00\u4e2a\u5de8\u725b\u7684\u4eba\u5de5\u667a\u80fd\u5b66\u4e60\u7f51\u7ad9&#xff0c;\u901a\u4fd7\u6613\u61c2&#xff0c;\u98ce\u8da3\u5e7d\u9ed8&#xff0c;\u5fcd\u4e0d\u4f4f\u5206\u4eab\u4e00\u4e0b\u7ed9\u5927\u5bb6\u3002\u70b9\u51fb\u8df3\u8f6c\u5230\u7f51\u7ad9\u3002<\/p>\n<h2>\u672c\u671f\u70ed\u70b9\u8d8b\u52bf\u603b\u7ed3<\/h2>\n<p>\u8fd9\u5468gtihub\u70ed\u699c&#xff0c;\u660e\u663e\u805a\u7126 AI \u57fa\u7840\u8bbe\u65bd\u4e0e\u672c\u5730\u5316\u90e8\u7f72&#xff1a;Agent \u8bb0\u5fc6\u3001\u4e0a\u4e0b\u6587\u6570\u636e\u5e93\u3001\u6a21\u578b\u8def\u7531\u4e0e\u591a\u4f9b\u5e94\u5546\u517c\u5bb9\u6210\u4e3a\u4e3b\u7ebf&#xff0c;\u914d\u5957\u51fa\u73b0\u5c0f\u6a21\u578b\u7aef\u4fa7\u63a8\u7406\u3001Mac \/ Apple Silicon \u4f18\u5316\u548c\u672c\u5730\u8bad\u7ec3\u5de5\u5177&#xff0c;\u8bf4\u660e\u884c\u4e1a\u6b63\u4ece\u5355\u70b9\u5e94\u7528\u8f6c\u5411\u53ef\u590d\u73b0\u3001\u53ef\u8fc1\u79fb\u3001\u53ef\u63a7\u6210\u672c\u7684\u5de5\u7a0b\u5316\u843d\u5730&#xff1b;\u540c\u65f6&#xff0c;Linux \u684c\u9762\u3001\u9f20\u6807\u9a71\u52a8\u548c\u56fe\u8868\u751f\u6210\u7b49\u9879\u76ee\u4e5f\u4f53\u73b0\u51fa \u201c\u672c\u5730\u4f18\u5148 &#043; \u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u201d \u7684\u5b9e\u7528\u8d8b\u52bf\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083100-6a8ff5c4a3b71.png\" alt=\"\" \/><\/p>\n<hr \/>\n<h3>1. cordiverse\/cordis<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; cordiverse\/cordis<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/cordiverse\/cordis<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 6964<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 3614<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Meta-Framework of Spatiotemporal Composability<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010\u2699\ufe0fBackend\u3001&#x1f4d8;TypeScript\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Cordis\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u65f6\u7a7a\u7ec4\u5408\u80fd\u529b\u7684\u5143\u6846\u67b6&#xff0c;\u5e2e\u52a9\u5f00\u53d1\u8005\u7075\u6d3b\u6784\u5efa\u53ef\u590d\u7528\u7684\u65f6\u7a7a\u6570\u636e\u5e94\u7528&#xff0c;\u8ba9\u590d\u6742\u7a7a\u95f4\u4e0e\u65f6\u95f4\u903b\u8f91\u7f16\u6392\u66f4\u7b80\u5355\u9ad8\u6548\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083100-6a8ff5c4ddb85.png\" alt=\"cordis\" \/><\/p>\n<hr \/>\n<h3>2. cathrynlavery\/diagram-design<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; cathrynlavery\/diagram-design<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/cathrynlavery\/diagram-design<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 25036<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 8457<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; 38 editorial diagram types for Claude Code, Codex, and Pi. Self-contained HTML &#043; SVG. No shadows. No Mermaid slop.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f3a8;Frontend\u3001&#x1f916;AI\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; \u8fd9\u4e2a\u9879\u76ee\u4e3aClaude Code\u3001Codex\u548cPi\u63d0\u4f9b38\u79cd\u7f16\u8f91\u7ea7\u56fe\u8868\u7c7b\u578b&#xff0c;\u91c7\u7528\u81ea\u5305\u542bHTML\u52a0SVG&#xff0c;\u65e0\u9634\u5f71\u65e0\u5197\u4f59&#xff0c;\u8ba9AI\u751f\u6210\u4e13\u4e1a\u6e05\u6670\u7684\u56fe\u8868\u66f4\u7b80\u5355\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083101-6a8ff5c52bcc4.png\" alt=\"diagram-design\" \/><\/p>\n<hr \/>\n<h3>3. cursor\/plugins<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; cursor\/plugins<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/cursor\/plugins<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 4422<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 1582<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Cursor plugin specification and official plugins<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f4d8;TypeScript\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Cursor\u5b98\u65b9\u63d2\u4ef6\u89c4\u8303\u4e0e\u5f00\u6e90\u5b9e\u73b0&#xff0c;\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u7edf\u4e00\u7684\u63d2\u4ef6\u5f00\u53d1\u6807\u51c6\u548c\u73b0\u6210\u53c2\u8003&#xff0c;\u5e2e\u52a9\u5feb\u901f\u6784\u5efa\u3001\u6269\u5c55\u548c\u96c6\u6210Cursor\u7f16\u8f91\u5668\u80fd\u529b\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083101-6a8ff5c56fa29.png\" alt=\"plugins\" \/><\/p>\n<hr \/>\n<h3>4. volcengine\/OpenViking<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; volcengine\/OpenViking<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/volcengine\/OpenViking<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 31690<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 3033<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; \u706b\u5c71\u5f15\u64ce\u5f00\u6e90OpenViking&#xff0c;\u4e3aAI\u667a\u80fd\u4f53\u6253\u9020\u81ea\u8fdb\u5316\u4e0a\u4e0b\u6587\u6570\u636e\u5e93&#xff0c;\u7edf\u4e00\u8bb0\u5fc6\u3001\u77e5\u8bc6RAG\u548c\u6280\u80fd&#xff0c;\u8ba9Agent\u6301\u7eed\u5b66\u4e60\u3001\u66f4\u806a\u660e\u5730\u5e94\u5bf9\u590d\u6742\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083101-6a8ff5c5b1403.png\" alt=\"OpenViking\" \/><\/p>\n<hr \/>\n<h3>5. basecamp\/omarchy<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; basecamp\/omarchy<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/basecamp\/omarchy<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 27566<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 2565<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Beautiful, Modern &amp; Opinionated Linux<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f680;DevOps\u3001&#x1f41a;Shell\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Basecamp\u63a8\u51fa\u7684Omarchy\u662f\u4e00\u6b3e\u7f8e\u89c2\u3001\u73b0\u4ee3\u4e14\u7406\u5ff5\u9c9c\u660e\u7684Linux\u53d1\u884c\u7248&#xff0c;\u4ee5\u7cbe\u81f4\u754c\u9762\u4e0e\u575a\u5b9a\u6280\u672f\u53d6\u820d&#xff0c;\u4e3a\u8ffd\u6c42\u4f18\u96c5\u4f53\u9a8c\u548c\u9ad8\u6548\u5de5\u4f5c\u7684\u5f00\u53d1\u8005\u63d0\u4f9b\u5f00\u7bb1\u5373\u7528\u7684\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083102-6a8ff5c6000d6.png\" alt=\"omarchy\" \/><\/p>\n<hr \/>\n<h3>6. modular\/modular<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; modular\/modular<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/modular\/modular<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 28698<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 1643<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; The Modular Platform (includes MAX &amp; Mojo)<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Modular\u5e73\u53f0\u8ba9\u5f00\u53d1\u8005\u7528Mojo\u8bed\u8a00\u8f7b\u677e\u7f16\u5199\u9ad8\u6027\u80fdAI\u5e94\u7528&#xff0c;\u5c06Python\u7684\u6613\u7528\u6027\u4e0eC\u7ea7\u7684\u6267\u884c\u901f\u5ea6\u5408\u4e8c\u4e3a\u4e00&#xff0c;\u52a9\u529bAI\u57fa\u7840\u8bbe\u65bd\u521b\u65b0\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083102-6a8ff5c6424b9.png\" alt=\"modular\" \/><\/p>\n<hr \/>\n<h3>7. harry0703\/MoneyPrinterTurbo<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; harry0703\/MoneyPrinterTurbo<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/harry0703\/MoneyPrinterTurbo<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 113975<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 10470<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; \u5229\u7528 AI \u5927\u6a21\u578b\u548c\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41&#xff0c;\u6839\u636e\u4e3b\u9898\u6216\u5173\u952e\u8bcd\u4e00\u952e\u751f\u6210\u9ad8\u6e05\u77ed\u89c6\u9891\u3002Generate HD short videos from a topic or keyword with an automated AI workflow.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; MoneyPrinterTurbo \u5229\u7528 AI \u5927\u6a21\u578b\u548c\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41&#xff0c;\u53ea\u9700\u8f93\u5165\u4e3b\u9898\u6216\u5173\u952e\u8bcd&#xff0c;\u5c31\u80fd\u4e00\u952e\u751f\u6210\u9ad8\u6e05\u77ed\u89c6\u9891&#xff0c;\u4ece\u811a\u672c\u3001\u914d\u97f3\u5230\u7d20\u6750\u5339\u914d\u5168\u81ea\u52a8\u5b8c\u6210&#xff0c;\u6781\u5927\u964d\u4f4e\u89c6\u9891\u5236\u4f5c\u95e8\u69db&#xff0c;\u9002\u5408\u81ea\u5a92\u4f53\u521b\u4f5c\u8005\u3001\u8425\u9500\u4eba\u5458\u5feb\u901f\u4ea7\u51fa\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083102-6a8ff5c684f6f.png\" alt=\"MoneyPrinterTurbo\" \/><\/p>\n<hr \/>\n<h3>8. public-apis\/public-apis<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; public-apis\/public-apis<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/public-apis\/public-apis<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 468042<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 10990<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; A collective list of free APIs<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010\u2699\ufe0fBackend\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; \u6c47\u96c6\u6d77\u91cf\u514d\u8d39\u516c\u5f00API\u7684\u5b9e\u7528\u6e05\u5355&#xff0c;\u8986\u76d6\u5f00\u53d1\u3001\u5b66\u4e60\u3001\u6570\u636e\u83b7\u53d6\u7b49\u591a\u4e2a\u573a\u666f&#xff0c;\u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u627e\u5230\u6240\u9700\u63a5\u53e3&#xff0c;\u63d0\u5347\u6548\u7387&#xff0c;\u662f\u7a0b\u5e8f\u5458\u7684\u5b9d\u85cf\u8d44\u6e90\u5e93\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083102-6a8ff5c6d0c94.png\" alt=\"public-apis\" \/><\/p>\n<hr \/>\n<h3>9. semantica-agi\/semantica<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; semantica-agi\/semantica<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/semantica-agi\/semantica<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 10096<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 2755<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Graph-Native Infrastructure for Context and Accountable AI Systems<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Semantica\u6253\u9020\u56fe\u539f\u751fAI\u57fa\u7840\u8bbe\u65bd&#xff0c;\u4e3a\u4e0a\u4e0b\u6587\u7406\u89e3\u548c\u53ef\u95ee\u8d23\u7cfb\u7edf\u63d0\u4f9b\u6838\u5fc3\u652f\u6491&#xff0c;\u5e2e\u52a9\u5f00\u53d1\u8005\u6784\u5efa\u900f\u660e\u3001\u53ef\u9760\u3001\u53ef\u8ffd\u6eaf\u7684\u667a\u80fd\u5e94\u7528\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083103-6a8ff5c720717.png\" alt=\"semantica\" \/><\/p>\n<hr \/>\n<h3>10. AprilNEA\/OpenLogi<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; AprilNEA\/OpenLogi<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/AprilNEA\/OpenLogi<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 12989<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 4054<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; \u26a1\ufe0fA native, local-first alternative to Logitech Options&#043;, written in Rust &#x1f980; \u2014 remap buttons, DPI, and SmartShift over HID&#043;&#043;. No account, no telemetry.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f980; Rust\u3001&#x1f5a5;\ufe0f Desktop\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; OpenLogi\u662f\u4e00\u6b3e\u7528Rust\u7f16\u5199\u7684\u672c\u5730\u4f18\u5148\u7f57\u6280\u5916\u8bbe\u914d\u7f6e\u5de5\u5177&#xff0c;\u65e0\u9700\u8d26\u6237\u548c\u9065\u6d4b&#xff0c;\u901a\u8fc7HID&#043;&#043;\u534f\u8bae\u5373\u53ef\u91cd\u6620\u5c04\u6309\u952e\u3001\u8c03\u8282DPI\u548cSmartShift&#xff0c;\u4e3a\u6ce8\u91cd\u9690\u79c1\u4e0e\u6df1\u5ea6\u81ea\u5b9a\u4e49\u7684\u7f57\u6280\u7528\u6237\u63d0\u4f9b\u5f00\u6e90\u66ff\u4ee3\u65b9\u6848\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083103-6a8ff5c767e56.png\" alt=\"OpenLogi\" \/><\/p>\n<hr \/>\n<h3>11. cactus-compute\/needle<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; cactus-compute\/needle<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/cactus-compute\/needle<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 8352<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 2985<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; cactus-compute\/needle\u662f\u4e00\u4e2a\u4ec514MB\u7684\u57fa\u7840\u6a21\u578b&#xff0c;\u4e13\u4e3a\u624b\u673a\u3001\u53ef\u7a7f\u6234\u8bbe\u5907\u3001\u667a\u80fd\u5bb6\u5c45\u548c\u673a\u5668\u4eba\u7b49\u5c0f\u578b\u7ec8\u7aef\u6253\u9020&#xff0c;\u8ba9AI\u80fd\u529b\u8f7b\u677e\u843d\u5730\u8fb9\u7f18\u8bbe\u5907\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083103-6a8ff5c7ad97a.png\" alt=\"needle\" \/><\/p>\n<hr \/>\n<h3>12. NVIDIA-NeMo\/Switchyard<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; NVIDIA-NeMo\/Switchyard<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/NVIDIA-NeMo\/Switchyard<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 2070<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 642<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility &#8211; enabling flexible model selection, benchmarking, and cost\/performance optimization.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f980;Rust\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; NVIDIA\u5f00\u6e90\u7684Switchyard\u80fd\u5e2e\u4f60\u5728\u4e0d\u540c\u5927\u6a21\u578b\u548c\u4f9b\u5e94\u5546\u4e4b\u95f4\u7075\u6d3b\u5207\u6362\u6d41\u91cf&#xff0c;\u540c\u65f6\u4fdd\u6301OpenAI\u548cAnthropic\u63a5\u53e3\u5b8c\u5168\u517c\u5bb9&#xff0c;\u8f7b\u677e\u5b9e\u73b0\u6a21\u578b\u9009\u578b\u3001\u57fa\u51c6\u6d4b\u8bd5\u4e0e\u6210\u672c\u6027\u80fd\u4f18\u5316&#xff0c;\u8ba9LLM\u5e94\u7528\u66f4\u806a\u660e\u3001\u66f4\u7701\u94b1\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083103-6a8ff5c7eff12.png\" alt=\"Switchyard\" \/><\/p>\n<hr \/>\n<h3>13. akitaonrails\/ai-memory<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; akitaonrails\/ai-memory<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/akitaonrails\/ai-memory<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 3951<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 2404<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f980;Rust\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; ai-memory \u4e3a AI \u7f16\u7801\u547d\u4ee4\u884c\u5de5\u5177\u63d0\u4f9b\u957f\u671f\u8bb0\u5fc6&#xff0c;\u5e76\u6253\u901a\u4e0d\u540c AI \u4ee3\u7406\u4e4b\u95f4\u7684\u4ea4\u63a5\u6d41\u7a0b&#xff0c;\u8ba9\u5f00\u53d1\u5de5\u4f5c\u6d41\u66f4\u8fde\u8d2f\u3001\u9ad8\u6548\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083104-6a8ff5c83ec2e.png\" alt=\"ai-memory\" \/><\/p>\n<hr \/>\n<h3>14. AlexsJones\/llmfit<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; AlexsJones\/llmfit<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/AlexsJones\/llmfit<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 33454<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 1991<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Hundreds of models &amp; providers. One command to find what runs on your hardware.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f980;Rust\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; llmfit\u7528\u4e00\u6761\u547d\u4ee4\u5e2e\u4f60\u4ece\u6570\u767e\u4e2a\u6a21\u578b\u548c\u63d0\u4f9b\u5546\u4e2d&#xff0c;\u5feb\u901f\u7b5b\u9009\u51fa\u80fd\u5728\u4f60\u5f53\u524d\u786c\u4ef6\u4e0a\u6d41\u7545\u8fd0\u884c\u7684\u6a21\u578b&#xff0c;\u7701\u53bb\u53cd\u590d\u8bd5\u9519&#xff0c;\u8ba9\u672c\u5730\u5927\u6a21\u578b\u90e8\u7f72\u66f4\u9ad8\u6548\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083104-6a8ff5c881c16.jpg\" alt=\"\u5916\u94fe\u56fe\u7247\u8f6c\u5b58\u5931\u8d25,\u6e90\u7ad9\u53ef\u80fd\u6709\u9632\u76d7\u94fe\u673a\u5236,\u5efa\u8bae\u5c06\u56fe\u7247\u4fdd\u5b58\u4e0b\u6765\u76f4\u63a5\u4e0a\u4f20\" \/><\/p>\n<hr \/>\n<h3>15. unslothai\/unsloth<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; unslothai\/unsloth<\/li>\n<li>&#x1f517; \u9879\u76ee\u5730\u5740&#xff1a; https:\/\/github.com\/unslothai\/unsloth<\/li>\n<li>\u2b50 \u5f53\u524d Star \u6570&#xff1a; 74281<\/li>\n<li>&#x1f4c8; \u8d8b\u52bf Star \u6570&#xff1a; 2987<\/li>\n<li>&#x1f4cb; \u9879\u76ee\u4ecb\u7ecd&#xff1a; Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.<\/li>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u6807\u7b7e&#xff1a; \u3010&#x1f916;AI\u3001&#x1f40d;Python\u3011<\/li>\n<li>&#x1f4a1; \u63a8\u8350\u8bed&#xff1a; Unsloth\u4e3a\u672c\u5730\u8bad\u7ec3\u548c\u8fd0\u884c\u5927\u8bed\u8a00\u6a21\u578b\u53ca\u6269\u6563\u6a21\u578b\u63d0\u4f9b\u4e00\u7ad9\u5f0f\u56fe\u5f62\u754c\u9762&#xff0c;\u652f\u6301Qwen\u3001Kimi\u3001Gemma\u3001DeepSeek\u3001FLUX\u7b49\u524d\u6cbf\u6a21\u578b&#xff0c;\u8ba9\u5f00\u53d1\u8005\u548c\u7814\u7a76\u8005\u65e0\u9700\u590d\u6742\u914d\u7f6e\u5373\u53ef\u9ad8\u6548\u5fae\u8c03\u4e0e\u63a8\u7406\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827083104-6a8ff5c8c4a16.png\" alt=\"unsloth\" \/><\/p>\n<hr \/>\n<h3>16. jundot\/omlx<\/h3>\n<ul>\n<li>&#x1f3f7;\ufe0f \u9879\u76ee\u540d\u79f0&#xff1a; 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