[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-95192":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":15,"stars7d":15,"stars30d":15,"stars90d":13,"forks30d":13,"starsTrendScore":16,"compositeScore":17,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":18,"hasPages":18,"topics":20,"createdAt":10,"pushedAt":10,"updatedAt":21,"readmeContent":22,"aiSummary":10,"trendingCount":13,"starSnapshotCount":13,"syncStatus":23,"lastSyncTime":24,"discoverSource":25},95192,"memcode","memcode-in\u002Fmemcode","memcode-in","Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case","app.memcode.in",null,"TypeScript",136,0,130,6,18,52.6,false,"main",[],"2026-08-24 04:01:23","\u003Cdiv align=\"center\">\n  \u003Cimg width=\"300\" alt=\"MemCode logo\" src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Fmemcode-in\u002Fmemcode\u002Fmain\u002Fpublic\u002Flogo.svg\" \u002F>\n\n\u003C\u002Fdiv>\n\n\u003Cdiv align=\"center\">\n\n  \u003Cp>\u003Cstrong>End-to-end memory infrastructure for AI.\u003C\u002Fstrong>\u003C\u002Fp>\n\n  \u003Cp>\n    Give agents, copilots, applications, and workflows persistent memory that\n    survives sessions, context windows, and model changes.\n  \u003C\u002Fp>\n\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FMemory-End--to--End-7C3AED\" alt=\"End-to-end Memory\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FReact-19-61DAFB?logo=react&logoColor=black\" alt=\"React 19\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FTypeScript-5.7-3178C6?logo=typescript&logoColor=white\" alt=\"TypeScript\"\u002F>\n  \u003Cbr\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FVite-6-646CFF?logo=vite&logoColor=white\" alt=\"Vite\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCloudflare-Workers-F38020?logo=cloudflare&logoColor=white\" alt=\"Cloudflare\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FStatus-Active%20Development-22C55E\" alt=\"Active Development\"\u002F>\n\u003C\u002Fdiv>\n\n\u003Chr\u002F>\n## Why Memory\n\nAI systems are powerful inside their current context window, but that context is temporary. Important decisions, user preferences, previous interactions, and learned knowledge disappear between sessions.\n\nA larger prompt is not the same as memory.\n\nReal memory must be:\n\n- **Persistent** across sessions and model changes\n- **Selective** about what deserves to be remembered\n- **Grounded** in sources and provenance\n- **Queryable** through semantic and structured retrieval\n- **Inspectable** by the people operating the system\n- **Governed** with clear access and retention controls\n\nMemCode is building this layer as infrastructure rather than another temporary context workaround.\n\n\n\n\n## Development\n\n### Prerequisites\n\n- Node.js\n- npm\n\n### Install dependencies\n\n```bash\nnpm install\n```\n\n### Configure the environment\n\nCopy the provided environment template:\n\n```bash\ncp .env.example .env.local\n```\n\nUpdate the values for your local or hosted environment. Do not commit production credentials or private keys.\n\n### Start development\n\n```bash\nnpm run dev\n```\n\n### Create a production build\n\n```bash\nnpm run build\n```\n\n## Validation\n\nRun the focused dashboard checks with:\n\n```bash\nnpm run test:byok-usage\nnpm run test:runtime-settings\n```\n\nThe production build also runs TypeScript validation before generating the Vite bundle.\n\n## Deployment\n\nThe dashboard is configured for deployment through Cloudflare:\n\n```bash\nnpm run build\nnpx wrangler deploy\n```\n\nProduction environment variables should be configured through the deployment platform rather than committed to the repository.\n\nThe primary dashboard is available at [app.memcode.in](https:\u002F\u002Fapp.memcode.in).\n\n## Project Status\n\nMemCode is under active development. APIs, interfaces, and infrastructure may evolve as we improve retrieval quality, memory evaluation, integrations, and developer experience.\n\nWe are building toward a world where every AI system can remember selectively, retrieve reliably, and improve continuously.\n\n\n\u003Cdiv align=\"center\">\n  \u003Cp>\u003Cstrong>Building memory infrastructure for AI, end to end.\u003C\u002Fstrong>\u003C\u002Fp>\n\n  \u003Cp>\n    \u003Ca href=\"https:\u002F\u002Fmemcode.in\">Website\u003C\u002Fa>\n     • \n    \u003Ca href=\"https:\u002F\u002Fapp.memcode.in\">Dashboard\u003C\u002Fa>\n  \u003C\u002Fp>\n\u003C\u002Fdiv>\n",2,"2026-08-23 02:30:05","CREATED_QUERY"]