I build practical, Windows-first tools and AI-assisted workflows — local-first, with clear boundaries and verifiable releases. Every project starts from a real workflow problem and ends at something people can actually download and run.
我做實用的 Windows 優先工具與 AI 協作流程，重視本機優先、清楚邊界、可驗證交付。每個專案都從實際的工作流程痛點出發，做到能下載、能執行為止。
Batch-export books you legally own in Google Play Books: DRM-free titles download as EPUB/PDF, protected ones keep the official .acsm handoff for Adobe Digital Editions.
批次匯出自己合法擁有的 Google Play 圖書：無 DRM 的直接下載 EPUB/PDF，受保護的保留官方 .acsm 交接流程。
Python Playwright httpx Desktop GUI Local-first
Self-hosted personal AI assistant inside LINE — chat, voice, vision, search, schedules, tasks, reminders, weather — on your own OpenAI, LINE, and Supabase credentials. "AI finished" and "LINE delivered" are separate checkpoints, so a delivery retry never re-runs paid AI work. 可自架的 LINE 個人 AI 助理：聊天、語音、圖片、搜尋、行程、任務、提醒、天氣，全跑在自己的帳號上。「AI 已完成」與「LINE 已送達」是兩個 checkpoint，送達重試不會重跑已付費的 AI 工作。
Documentation site / 文件站 · Derived from memochou1993/gpt-ai-assistant, independently maintained.
JavaScript Node.js 24 Vercel Supabase LINE Messaging API Google Calendar / Tasks
Local-first voice typing for Windows: hotkey recording, on-device Faster-Whisper transcription, optional LLM rewriting and translation, typed straight into the focused app. Windows 本機語音輸入：快捷鍵錄音、本機 Faster-Whisper 辨識、可選 LLM 潤飾與翻譯，直接輸入目前作用中的程式。
Derived from VoiceType4TW, independently maintained.
Python PyQt6 Faster-Whisper CUDA Windows
Portable YouTube channel archiving with GUI and CLI: batch workflows, filters, ffmpeg integration, and content the signed-in user is already authorized to watch. 可攜式 YouTube 頻道保存工具，GUI 與 CLI 並具：批次工作流、篩選、ffmpeg 整合，也支援登入者原本就有權觀看的內容。
Python yt-dlp Tkinter ffmpeg Windows / macOS / Linux
Windows VRM desktop companion that turns an AI assistant's playback into lip sync, motion, states, and message bubbles; compatible agents drive it over a loopback-only MCP server. Windows VRM 桌面角色：把 AI 助理的聲音轉成口型、動作、狀態與訊息氣泡，相容 Agent 可經僅限本機的 MCP 控制。
Derived from xikhar/persona, independently maintained.
TypeScript Electron Three.js VRM / VRMA MCP
Developer-facing work for AI coding agents — original engineering references and independently maintained Windows-first forks, aimed at agent workflows rather than at general users. 給 AI coding agent 的開發向作品：原創工程參考專案與 Windows-first 維護型 fork，服務 agent 工作流，不是一般使用者下載即用的 App。
AI coding governance stack ｜ AI coding 治理堆疊 — four repos constraining agents at four layers, each usable on its own. 四個 repo 分別約束 agent 的四個層面，也可以單獨使用。
| Layer / 層 | Repo | |
|---|---|---|
| Dispatch / 派工決策 | agent-advisor | Risk-gated routing across four agent runtimes ｜四種 agent runtime 的風險分流路由 |
| Execution / 動作攔截 | harness-guard | Runtime hooks blocking dangerous commands, unevidenced completion claims, commits over failing tests ｜攔截危險指令、無證據的完成宣稱、紅燈仍提交 |
| Output / 產出品質 | ai-quality-gates | Gherkin specs, coverage and mutation gates, architecture contracts, bounded agent-loop policy ｜可執行規格、覆蓋率與 mutation gate、架構契約、有界 loop policy |
| Delivery / 交付流程 | paulsha-cortex | Candidate, verification, independent review, completion evidence ｜候選、驗證、獨立審查與完成證據 |
Other agent tooling ｜ 其他 agent 工具
| Repo | ||
|---|---|---|
| opencodex | Universal provider proxy — run Codex or Claude Code on Claude, Gemini, Grok, DeepSeek, or local Ollama, native model picker intact ｜通用供應商代理，讓 Codex／Claude Code 改用任何 LLM，選擇器仍是原生的 | TypeScript fork of lidge-jun/opencodex |
| agentdeck | Windows tray cockpit: quota monitoring, multi-model roundtable, subagent roles, HTML reports; quota read from local files only ｜系統匣控制台：額度監看、多模型圓桌、subagent 角色、HTML 報告，額度只讀本機檔案 | Python fork of aqua5230/usage |
| book-to-skill | Turn a technical book or docs folder into on-demand Agent Skills — load the relevant chapter, not the whole book ｜把技術書或文件夾轉成按需載入的 Agent 技能，只載入用得到的那一章 | Python fork of virgiliojr94/book-to-skill |
Browse all public repositories →
- Local-first by default ｜預設本機優先 — if it runs on the user's machine, it does not get a hosted backend first.
- Release-oriented ｜以交付為導向 — downloadable, runnable, verifiable beats a demo.
- Privacy-aware ｜重視隱私邊界 — user files, images, and tokens do not go to services that do not need them.
- Explicit boundaries ｜寫明邊界 — licensing, platform rules, unsupported cases, and operational risks are stated, not implied.
- AI-assisted, still verified ｜AI 協作但仍要驗證 — agents speed up prototyping and docs; releases still need tests, packaging, and stated limits.
Recurring themes across the projects: bringing AI into interfaces people already use, and automating repetitive media, document, and operational work. 專案共通的主題：把 AI 放進使用者本來就在用的介面，以及把媒體、文件與日常作業的重複工作自動化。
Excel/VBA business automation, Palm and Android field applications, web-based submission and review systems, and internal operational tools. Private and organizational projects are described by capability only. Excel/VBA 營運自動化、Palm 與 Android 行動程式、線上填報／審查系統、組織內部作業工具。私人或組織型專案僅描述能力，不公開可識別資訊與正式資料。
