AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分鐘完成驗證libghostty-vt for the web with DOM input and damage-scheduled WebGPU rendering
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Development happens in the Fregat monorepo.
This repository mirrors its ghostty-webgpu/ folder. Submit changes to Fregat.
an unofficial ghostty for the web, inspired by ghostty-web and powered by libghostty-vt
damage-aware rendering with webgpu, webgl2, canvas2d, and dom fallbacks. byte-based pty traffic, automatic fitting, and live themes
still a preview.
call terminal.dispose() when you're done with it檢視完整 README ↗An unofficial browser terminal using Ghostty's unpatched WebAssembly core with WebGPU, WebGL2, Canvas 2D, and DOM renderers.
Build and run with Bun 1.4.4 and Node 20 or newer:
git clone https://github.com/ShaulLavo/ghostty-webgpu.git
cd ghostty-webgpu
bun install --frozen-lockfile
bun run build
bun run demo
Mount a <div id="terminal" style="height: 32rem"></div>, then:
import { Terminal } from 'ghostty-webgpu'
const terminal = await Terminal.create()
await terminal.open(document.getElementById('terminal')!)
terminal.write('hello from ghostty\r\n')
Install in your app · Website and guides · Development and releases · Overview and measurements · MIT license