[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"readme:agentmemory":3},"\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Frohitg00\u002Fagentmemory\u002FHEAD\u002Fassets\u002Fbanner.png\" alt=\"agentmemory — Persistent memory for AI coding agents\" width=\"720\" \u002F>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Cstrong>\n    Your coding agent remembers everything. No more re-explaining.\n    Built on \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fiii-hq\u002Fiii\" rel=\"nofollow ugc noopener\">iii engine\u003C\u002Fa>\n  \u003C\u002Fstrong>\u003Cbr \u002F>\n  Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fagentmemory\u002Fblob\u002FHEAD\u002FREADME.md\" rel=\"nofollow ugc noopener\">English\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fagentmemory\u002Fblob\u002FHEAD\u002FREADMEs\u002FREADME.zh-CN.md\" rel=\"nofollow ugc noopener\">简体中文\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Frohitg00\u002Fagentmemory\u002Fblob\u002FHEAD\u002FREADMEs\u002FREADME.zh-TW.md\" rel=\"nofollow ugc noopener\">繁體中文\u003C\u002Fa> |\n  \u003Ca 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alt=\"rohitg00\u002Fagentmemory | Trendshift\" width=\"250\" height=\"55\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgist.github.com\u002Frohitg00\u002F2067ab416f7bbe447c1977edaaa681e2\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FViral%20GitHub%20Gist-1.3k%20stars%20%2F%20182%20forks-FF6B35?style=for-the-badge&logo=github&logoColor=white&labelColor=1a1a1a\" alt=\"Design doc: 1.3k stars \u002F 182 forks on the gist\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Cem>The gist extends Karpathy's LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.\u003C\u002Fem>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@agentmemory\u002Fagentmemory\" rel=\"nofollow ugc noopener\">\u003Cimg 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height=\"38\" \u002F>\u003C\u002Fpicture>\n  \u003Cpicture>\u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"assets\u002Ftags\u002Flight\u002Fstat-tests.svg\">\u003C\u002Fsource>\u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Frohitg00\u002Fagentmemory\u002FHEAD\u002Fassets\u002Ftags\u002Fstat-tests.svg\" alt=\"1,428+ tests passing\" height=\"38\" \u002F>\u003C\u002Fpicture>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Frohitg00\u002Fagentmemory\u002FHEAD\u002Fassets\u002Fdemo.gif\" alt=\"agentmemory demo\" width=\"720\" \u002F>\n\u003C\u002Fp>\u003Cp align=\"center\">\n  \u003Ca href=\"#install\" rel=\"nofollow ugc noopener\">Install\u003C\u002Fa> •\n  \u003Ca href=\"#quick-start\" rel=\"nofollow ugc noopener\">Quick Start\u003C\u002Fa> •\n  \u003Ca href=\"#benchmarks\" rel=\"nofollow ugc noopener\">Benchmarks\u003C\u002Fa>\n\u003C\u002Fp>",1785276847917]