[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"readme:jcode":3},"\u003Cdiv align=\"center\">\u003Ch1>jcode\u003C\u002Fh1>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Freleases\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fbadgen.net\u002Fgithub\u002Frelease\u002F1jehuang\u002Fjcode?icon=github\" alt=\"Latest Release\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Fblob\u002FHEAD\u002FLICENSE\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-MIT-blue?style=flat-square\" alt=\"License: MIT\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Freleases\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fplatforms-Linux%20%7C%20macOS%20%7C%20Windows-blue?style=flat-square\" alt=\"Platforms\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Fcommits\u002Fmaster\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fbadgen.net\u002Fgithub\u002Flast-commit\u002F1jehuang\u002Fjcode\u002Fmaster?icon=github\" alt=\"Last Commit\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Fstargazers\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fbadgen.net\u002Fgithub\u002Fstars\u002F1jehuang\u002Fjcode?icon=github\" alt=\"GitHub Stars\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002FnBe9vGyK9a\" rel=\"nofollow ugc noopener\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-Join%20Community-5865F2?style=flat-square&logo=discord&logoColor=white\" alt=\"Discord\" \u002F>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>The most RAM efficient harness \u003Cbr \u002F>\nThe most most intelligent harness\u003C\u002Fp>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Freleases\u002Fdownload\u002Freadme-assets\u002Fjcode-memory-demo.mp4\" rel=\"nofollow ugc noopener\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Freleases\u002Fdownload\u002Freadme-assets\u002Fjcode-memory-demo.webp\" alt=\"jcode memory demonstration\" width=\"800\" \u002F>\n\u003C\u002Fa>\u003Cbr \u002F>\u003Cp>\u003Ca href=\"https:\u002F\u002Fjcode.sh\" rel=\"nofollow ugc noopener\">Website\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fjcode.sh\u002Fdocs\" rel=\"nofollow ugc noopener\">Docs\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fjcode.sh\u002Fbench\" rel=\"nofollow ugc noopener\">Benchmarks\u003C\u002Fa> · \u003Ca href=\"#features\" rel=\"nofollow ugc noopener\">Features\u003C\u002Fa> · \u003Ca href=\"#installation\" rel=\"nofollow ugc noopener\">Install\u003C\u002Fa> · \u003Ca href=\"#quick-start\" rel=\"nofollow ugc noopener\">Quick Start\u003C\u002Fa> · \u003Ca href=\"#further-reading\" rel=\"nofollow ugc noopener\">Further Reading\u003C\u002Fa> · \u003Ca href=\"https:\u002F\u002Fgithub.com\u002F1jehuang\u002Fjcode\u002Fblob\u002FHEAD\u002FCONTRIBUTING.md\" rel=\"nofollow ugc noopener\">Contributing\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Fdiv>\u003Chr \u002F>\n\u003Cdiv align=\"center\">\u003Ch2>Installation\u003C\u002Fh2>\n\u003C\u002Fdiv>\u003Cpre>\u003Ccode class=\"language-bash\"># macOS & Linux\ncurl -fsSL https:\u002F\u002Fjcode.sh\u002Finstall | bash\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cpre>\u003Ccode class=\"language-powershell\"># Windows 11 (PowerShell 5.1+)\nirm https:\u002F\u002Fjcode.sh\u002Finstall.ps1 | iex\n\u003C\u002Fcode>\u003C\u002Fpre>\n\u003Cp>Need Homebrew, source builds, provider setup, or want an agent to set it up for you?\n\u003Ca href=\"#detailed-installation\" rel=\"nofollow ugc noopener\">Jump to detailed installation\u003C\u002Fa>.\u003C\u002Fp>\n\u003Chr \u002F>\n\u003Cdiv align=\"center\">\u003Ch2>Performance & Resource Efficiency\u003C\u002Fh2>\n\u003C\u002Fdiv>\u003Cp>jcode is built to be as performant and resource efficient as possible. Every metric is optimized to the bone, which is important for scaling multi-session workflows. Here we sample a few metrics to show the difference: RAM usage and boot up.\u003C\u002Fp>\n\u003Ch3>RAM comparison\u003C\u002Fh3>\n\u003Cdiv align=\"center\">\u003Ctable>\n  \u003Ctr>\n    \u003Ctd align=\"center\">\n      \u003Cstrong>1 active session\u003C\u002Fstrong>\n      \u003Ctable>\n        \u003Cthead>\n          \u003Ctr>\n            \u003Cth>Tool\u003C\u002Fth>\n            \u003Cth>PSS\u003C\u002Fth>\n            \u003Cth>Comparison\u003C\u002Fth>\n          \u003C\u002Ftr>\n        \u003C\u002Fthead>\n        \u003Ctbody>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>jcode (local embedding off)\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>27.8 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">baseline\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>jcode\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>167.1 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>6.0× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>pi\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>144.4 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>5.2× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>Codex CLI\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>140.0 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>5.0× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>OpenCode\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>371.5 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>13.4× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>GitHub Copilot CLI\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>333.3 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>12.0× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>Cursor Agent\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>214.9 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>7.7× more RAM\u003C\u002Fstrong>\u003C\u002Ftd>\n          \u003C\u002Ftr>\n          \u003Ctr>\n            \u003Ctd>\u003Cstrong>Claude Code\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003Ctd align=\"right\">\u003Cstrong>386.6 MB\u003C\u002Fstrong>\u003C\u002Ftd>\n            \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftable>\u003C\u002Fdiv>",1785276849715]