MIT-licensed, Rust-based AI vector design tool with prompt-to-canvas generation, a built-in MCP server and `op` CLI; the README documents no dedicated DeepSeek Harness integration — DeepSeek is a built-in model provider preset.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
MIT
01What can it help you accomplish?
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
02How to install into DeepSeek Harness
Prerequisites
- 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)
Installation steps
- 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`)
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
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)
04Who is it for? When not to use it?
Good for
- 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
Not for
- 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.
05Compatibility, maintenance and safety notes
- 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)
06Frequently asked questions
Does OpenPencil work with DeepSeek Harness?
The README does not document a dedicated DeepSeek Harness integration. OpenPencil exposes a built-in MCP server and the `op` CLI designed for MCP-compatible agents (one-click install targets Claude Code, Codex, OpenCode, Kiro, and Copilot CLIs). DeepSeek appears inside the app as one of 9+ built-in model provider presets.
How do I install OpenPencil?
macOS: `brew tap zseven-w/openpencil` then `brew install --cask openpencil`. Windows: `scoop bucket add openpencil https://github.com/zseven-w/scoop-openpencil` then `scoop install openpencil`. Linux: `.AppImage` / `.deb` from GitHub Releases, or Nix on x86_64. The `op` CLI installs via `brew install zseven-w/openpencil/op` or the install script.
How can AI coding agents drive OpenPencil?
Via the built-in MCP server (`op-mcp` crate) — stdio transport through the desktop binary (`--mcp <path>`) or a live HTTP endpoint at `127.0.0.1:<port>/mcp`, no Node.js required — and via the `op` CLI with batch design DSL. The OpenPencil Skill plugin teaches agents how to design with `op` (`op install`).
What model providers are built in?
9+ providers via presets with a region switcher — Anthropic, OpenAI, Google, DeepSeek, and more — plus Claude Code (local OAuth), Codex CLI, OpenCode, and GitHub Copilot as agent runtimes. Prompts and thinking modes adapt automatically per model tier.
What is the output format?
`.op` files — JSON that is human-readable, Git-friendly, and diffable. From one `.op` file you can export React + Tailwind, HTML + CSS, Vue, Svelte, Flutter, SwiftUI, Jetpack Compose, and React Native code, plus PNG/JPEG/WEBP/PDF canvas export.
07Related DSH workflows
ruflo
by ruvnet
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
app
by reactive-resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
everos
by evermind-ai
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
yao
by yaoapp
✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self-hosted.
08Data and sources
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
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.
Best DeepSeek Harness Plugins
Twelve plugins worth installing first — picked from the whole catalog, across every category.