DSH Plugin MarketA community catalog for DeepSeek Harness plugins

DeepSeek-Harness-Video-Director

Verified Models & inference ★ 69 0.2.1-rc.2

A project-scoped multimodal video director plugin for DeepSeek Harness.

What it is

A project-scoped multimodal video director plugin for DeepSeek Harness.

How to install

Run this in the DSH web profile, then refresh the page.

$ dsh plugin --profile web add 'git+https://github.com/chiphoton/DeepSeek-Harness-Video-Director.git#92b1dd6813d7843ef939bdc2b0d95d3d5c7174e2'

DSH versions accepted

0.2.1-rc.2

Author and traction

chiphoton · ★ 69 · Updated 2026-11-07

About this plugin

简体中文 · Agent installation guide · Developer guide · Sidebar agent workspace · Terminology · vd-node definitions · Example Gallery

🎬 DeepSeek-Harness Video-Director

A visual, node-based video director for DeepSeek Harness. Script · Prompt · Image · Audio · Video · Fully local workflows

DSH Plugin · ComfyUI · Ollama · MiniMax-H3

DeepSeek-Harness Video-Director is a video-production plugin built for DeepSeek Harness. It turns script, image, audio, and video generation into a connectable canvas, with ready-to-use paths for ComfyUI, Ollama, OpenAI-compatible APIs, and Codex Plan.

Beginners can start with the built-in workflows instead of assembling every provider call by hand. Native Qwen3.8-27B and MiniMax-H3 paths make a fully local, deployment-controlled multimedia pipeline possible when the selected models and runtime support it.

We call canvas elements vd-nodes and the overall canvas graph a vd-workflow. A ComfyUI-backed vd-node executes a comfyui-workflow containing comfyui-nodes. See the terminology guide for definitions, packages, bindings, and execution IDs. ✨ Why Video-Director 🚀 Quick start 1. Install into DSH and run

This branch targets DSH 0.2.1-rc.2. For DSH 0.1.2-alpha.3, use the plugin tag dsh-v0.1.2-alpha.3. Read the migration and rollback guide before upgrading an existing profile.

Requirements: Git, Node.js ^22.19.0 or >=24, pnpm 11.7.0, and an installed dsh CLI. For a single-machine, fully local deployment, NVIDIA DGX Spark is the recommended environment, but it is not required; the exact hardware requirement depends on the installation preset and model precision you select. Run the following from the directory where you want to keep the plugin:

dsh web opens the DSH Web UI. The plugin is installed persistently into the web profile, so later starts only need:

If you run DSH from a sibling source checkout instead of an installed CLI:

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