MIT 授權的 Rust AI 向量設計軟體，支援提示詞生成畫布設計、內建 MCP 伺服器與 `op` CLI；README 未記載專屬的 DeepSeek Harness 整合，DeepSeek 是內建模型供應商之一。
DSH 整合
生態系相關
作者聲明
安全稽核
未稽核
最後核實
2026-08-21
授權條款
MIT
01它能幫你完成什麼？
Generate UI and page designs from natural-language prompts on a live infinite canvas
Vector designs on the canvas in real-time with streaming animation; `.op` files (JSON, Git-friendly) plus code export to React + Tailwind, HTML + CSS, Vue, Svelte, Flutter, SwiftUI, Jetpack Compose, React Native
Designers and developers who want AI-generated UI as inspectable, diffable Design-as-Code files
Drive design automation from any MCP-compatible coding agent via the built-in MCP server
Read, create, and modify `.op` files through MCP tools — including a layered workflow (`design_skeleton` → `design_content` → `design_refine`), style guide tools, and multi-page support
Agent users who want a coding agent CLI to read, create, and modify design files from the terminal
Run batch design automation from the terminal with the `op` CLI
Batch designs from files or stdin (`op design @landing.txt`, `cat design.dsl | op design -`), node insertion, Figma import, and a headless file-backed server mode
Developers scripting design generation in CI or terminal workflows
02如何將外掛接入 DeepSeek Harness？
先決條件
- Platform package manager: Homebrew (macOS), Scoop (Windows), or direct download from GitHub Releases; Nix (Linux x86_64) is an alternative lane
- For the `op` CLI only: Homebrew on macOS/Linux, or the install script (macOS / Linux) / PowerShell script (Windows)
安裝步驟
- 01
macOS: `brew tap zseven-w/openpencil && brew install --cask openpencil`
$ brew tap zseven-w/openpencil && brew install --cask openpencil
- 02
Windows: `scoop bucket add openpencil https://github.com/zseven-w/scoop-openpencil && scoop install openpencil`
- 03
Linux / Windows direct download: GitHub Releases — `.exe` (Windows), `.AppImage` / `.deb` (Linux)
- 04
CLI (`op`): `brew install zseven-w/openpencil/op`, or `curl -fsSL https://raw.githubusercontent.com/ZSeven-W/openpencil/main/scripts/install-op.sh | bash` (Windows: `irm https://raw.githubusercontent.com/ZSeven-W/openpencil/main/scripts/install-op.ps1 | iex`)
$ brew install zseven-w/openpencil/op
- 05
Optional Docker web host: `docker run -d -p 3100:3100 ghcr.io/zseven-w/openpencil-web:v${VERSION}` then open `http://localhost:3100/`
- 06
Optional — teach AI agents to design with `op`: install the OpenPencil Skill plugin, then run `op install` for detected agents (or `op install --target codex`)
驗證整合成功
作者未說明
03DSH 整合程度與能力邊界
Standalone AI-native vector design tool; no DeepSeek Harness/dsh integration is documented in the README — the only DeepSeek mention is as one of 9+ built-in model providers in the app's provider presets
Prompt → Canvas generation with Concurrent Agent Teams
natural-language prompts, optional screenshots/mockups (vision input), style guides→real-time vector UI on the infinite canvas; an orchestrator decomposes complex pages into spatial sub-tasks generated by multiple agents in parallel
AI requests are sent to the configured model provider over the network; browser-entered provider credentials are kept in same-origin localStorage by defaultBuilt-in MCP server (`op-mcp`)
any MCP-compatible agent CLI (one-click install into Claude Code / Codex / OpenCode / Kiro / Copilot CLIs)→MCP tools to read, create, and modify `.op` files — layered design workflow, segmented prompt retrieval, style guide tools, multi-page support
stdio transport via the desktop binary (`--mcp <path>`), plus a live HTTP endpoint at `127.0.0.1:<port>/mcp` from the running appDesign-as-Code: `.op` format and multi-platform code export
`.op` design files (JSON — human-readable, Git-friendly, diffable)→code export to React + Tailwind, HTML + CSS, Vue, Svelte, Flutter, SwiftUI, Jetpack Compose, React Native; design variables become CSS custom properties
Multi-model intelligence with DeepSeek among 9+ built-in providers
provider presets with region switcher — Anthropic, OpenAI, Google, DeepSeek, and more→prompts, thinking mode, and timeouts automatically adapted per model tier (full-tier, standard-tier, basic-tier)
04適合誰？何時不該用？
適合
- Designers and developers who want AI-generated UI as inspectable, diffable Design-as-Code files
- Agent users who want a coding agent CLI to read, create, and modify design files from the terminal
- Developers scripting design generation in CI or terminal workflows
不適合
- The README documents no DeepSeek Harness/dsh integration: MCP one-click install targets Claude Code, Codex, OpenCode, Kiro, and Copilot CLIs, and the LLM Skill's explicit install example targets codex. DeepSeek appears only as a model provider preset inside the app.
05相容性、維護與安全提醒
- The README documents no DeepSeek Harness/dsh integration: MCP one-click install targets Claude Code, Codex, OpenCode, Kiro, and Copilot CLIs, and the LLM Skill's explicit install example targets codex. DeepSeek appears only as a model provider preset inside the app.
- Nix builds are currently published for x86_64-linux only and do not produce a `.deb`; a Debian package requires the upstream release artifacts.
- The Windows installer has been flagged by antivirus as a known heuristic false positive on new, low-prevalence releases; the README points to a download-verification doc.
MIT · actively maintained (latest release v0.8.4, 2026-08-11)
06常見問題
OpenPencil 能搭配 DeepSeek Harness 使用嗎？
README 未記載專屬的 DeepSeek Harness 整合。OpenPencil 提供內建 MCP 伺服器與 `op` CLI，面向相容 MCP 的 agent（一鍵安裝目標為 Claude Code、Codex、OpenCode、Kiro 和 Copilot CLI）。DeepSeek 在應用程式內作為 9+ 內建模型供應商預設之一出現。
如何安裝 OpenPencil？
macOS：`brew tap zseven-w/openpencil` 後執行 `brew install --cask openpencil`。Windows：`scoop bucket add openpencil https://github.com/zseven-w/scoop-openpencil` 後執行 `scoop install openpencil`。Linux：從 GitHub Releases 下載 `.AppImage` / `.deb`，或在 x86_64 上使用 Nix。`op` CLI 可透過 `brew install zseven-w/openpencil/op` 或安裝腳本安裝。
AI 編碼 agent 如何驅動 OpenPencil？
透過內建 MCP 伺服器（`op-mcp` crate）——桌面二進位檔以 stdio 方式執行（`--mcp <path>`），或執行中的應用程式在 `127.0.0.1:<port>/mcp` 提供 HTTP 端點，無需 Node.js——以及支援批次設計 DSL 的 `op` CLI。OpenPencil Skill 外掛可教導 agent 使用 `op` 進行設計（`op install`）。
內建哪些模型供應商？
9+ 家供應商，附區域切換的預設——Anthropic、OpenAI、Google、DeepSeek 等——另支援 Claude Code（本機 OAuth）、Codex CLI、OpenCode 和 GitHub Copilot 作為 agent 執行環境。提示詞與思考模式會依模型等級自動調整。
輸出格式是什麼？
`.op` 檔案——JSON 格式，人類可讀、對 Git 友善、可 diff。從單一 `.op` 檔可匯出 React + Tailwind、HTML + CSS、Vue、Svelte、Flutter、SwiftUI、Jetpack Compose 和 React Native 程式碼，畫布另支援匯出 PNG/JPEG/WEBP/PDF。
07相關的 DSH 工作流程
ruflo
作者 ruvnet
原版智慧體元框架（meta-harness）：支援多智慧體叢集部署、自主工作流編排與對話式 AI 系統構建，內建自適應記憶、自學習智慧與 RAG 檢索，原生整合 Claude Code / Codex / Hermes 等大量工具。
app
作者 reactive-resume
隱私優先的開源簡歷製作外掛，支援自定義、便攜部署和永久免費使用，適合直接生成並管理求職簡歷。
everos
作者 evermind-ai
為所有 AI 智慧體提供的便攜統一記憶層，本地優先、Markdown 原生、資料歸使用者所有，跨應用與工作流自進化。
yao
作者 yaoapp
在桌面、移動端、瀏覽器或 API 上統一管理你的智慧體與工作區，看板式任務追蹤，支援自託管。
08資料與來源
Select from provider presets with region switcher — Anthropic, OpenAI, Google, DeepSeek, and more
Design automation from terminal: read, create, and modify `.op` files via any MCP-compatible agent
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。
最佳 DeepSeek Harness 外掛
從全目錄挑出的 12 個值得優先安裝的外掛，涵蓋各個分類。