Local-first AI creation tool (Electron + Vue 3 + TypeScript) that runs DeepSeek Harness as its in-app AI runtime and exposes a built-in MCP Server for Claude Code / Codex — generating short-drama, ad and film assets as local project files.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-02
License
NOASSERTION
01What can it help you accomplish?
Produce short-drama, ad and finished-film assets from a brief in the AI chat panel
Storyboards, node-graph workflows, images, video, 3D models, voice and finished timelines saved as local project files
Short-drama / ad / film creators and AI art studios using DeepSeek Harness as the in-app AI runtime
Let Claude Code / Codex and other external AI agents drive your project
Planned and persisted workflows, generation runs, and asset / node-graph read-write operations
Developers and AI agents that want to operate AI Art Engine programmatically over stdio or HTTP
02How to install into DeepSeek Harness
Prerequisites
- A desktop app install for your platform — Windows .exe, macOS .dmg (x64 / arm64) or Linux .AppImage
- A model provider API key (e.g. DeepSeek, OpenAI) — the app calls models through your own key
Installation steps
- 01
Download the installer for your platform from GitHub Releases
- 02
Install and launch, then create a new project (新建工程)
- 03
In Settings add a model provider and paste your API key; optionally configure object storage
- 04
Open the AI chat panel (left ◈ icon) and @-reference assets to generate, or follow the MCP guide to connect Claude Code
- 05
Or build from source: git clone, cd ai-art-engine, npm install, npm run dev (needs Node.js 22+)
Verify the integration
- After install, the left narrow bar shows the ◈ icon that opens the AI chat panel (点左侧窄栏「◈」打开 AI 对话)
- Settings → 模型 lets you add a model provider and paste a key (设置里添加模型提供商并填写密钥)
03DSH integration and capability boundaries
Runs DeepSeek Harness as the in-app AI assistant runtime; loads dsh SKILL.md-format custom skills; exposes a built-in MCP Server for external agents (Claude Code / Codex)
In-app AI chat (DeepSeek Harness runtime)
project assets @-referenced in the chat→images / video / 3D / voice generation, node-graph edits, workflow runs and status
generated media and node-graph changes are written to the local project directoryBuilt-in MCP Server for external agents
stdio bridge or HTTP connection from Claude Code / Codex / etc.→planned & persisted workflows, generation runs, asset & node-graph read-write
external agents can read and write your project assets and node graphs over MCPNode-graph generation
text / image / video / audio / 3D nodes with model parameters→reusable host assets, storyboards, animations, layered PSD exports
Custom skills in dsh SKILL.md format
.md files matching dsh SKILL.md (frontmatter name/description + body)→auto-loaded skill instructions injected as <available_skills> in context
04Who is it for? When not to use it?
Good for
- Short-drama / ad / film creators and AI art studios using DeepSeek Harness as the in-app AI runtime
- Developers and AI agents that want to operate AI Art Engine programmatically over stdio or HTTP
Not for
- Local ComfyUI requires installing comfy-api-proxy (default 8189) first and must not connect directly to 8188.
05Compatibility, maintenance and safety notes
- The app is local-first and calls models through your own API key; generation needs network access to your configured provider endpoint and an account/billing for that provider.
- Packaged installers ship for Windows (.exe), macOS (.dmg x64/arm64) and Linux (.AppImage); other platforms must build from source.
- Local ComfyUI requires installing comfy-api-proxy (default 8189) first and must not connect directly to 8188.
GPL-3.0 per README (derivative works must be open-sourced under the same license); latest release v5.0.7 (2026-08-31)
06Frequently asked questions
How does AI Art Engine use DeepSeek Harness?
The in-app AI chat panel runs on the DeepSeek Harness runtime — you @-reference project assets and the assistant calls MCP tools to generate images, video, 3D and voice, edit node graphs, and run workflows.
Can Claude Code or other agents drive the app?
Yes — the built-in MCP Server lets Claude Code / Codex and other agents connect over a stdio bridge or HTTP to plan and persist workflows, run generation, and read or write assets and node graphs.
How do I add my own model provider?
In Settings → 模型 add a provider (DeepSeek, OpenAI, etc.) and paste your API key; model calls go through your own key and the app stays local-first with data never leaving your machine.
Does it support custom skills in dsh SKILL.md format?
Yes — under Settings → 自定义技能 you drop .md files following the dsh SKILL.md format (frontmatter name/description + Markdown body) into the skill folder, and they load automatically in the next conversation.
How do I install it?
Download the desktop installer for your platform from GitHub Releases (Windows .exe, macOS .dmg, Linux .AppImage), install, create a project, and add a model provider key — or build from source with Node.js 22+.
07Related DSH workflows
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picgo-core
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:zap:The ultimate image uploading engine. Both CLI & API supports.
dsh-infinite-gen-3
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Armor-breaking plugin for DeepSeek that stabilizes jailbreak behavior ('Infinite Gen 3') — star the repo to support.
helloagents
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Autonomous AI companion that doesn't just analyze problems — it keeps working until the implementation is built and verified.
08Data and sources
**AI 对话面板** — 应用内 AI 助手（DeepSeek Harness 运行时）：在对话里
**自定义技能** — 设置 → **自定义技能**：把符合 dsh SKILL.md 格式（frontmatter `name` / `description` + Markdown 正文）的 `.md` 文件放进技能目录
**MCP 工具服务** — 内置 MCP Server，Claude Code / Codex 等外部 AI Agent 可经 stdio 桥或 HTTP 直连操作你的工程
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-02. Found an error? Submit a correction.
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