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dsh-agnes

Web Tools Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install chaoliu615/dsh-agnes

Paste the following prompt into your AI chat to install this plugin:

To install this plugin in DeepSeek Harness, visit https://github.com/chaoliu615/dsh-agnes for the source code, then run dsh plugin install chaoliu615/dsh-agnes in your terminal.

About this plugin

Calling Agnes AI for images and videos inside a DSH session should not mean hand-crafting HTTP requests, polling asynchronous tasks, and memorising two generations of model-specific parameter schemas. dsh-agnes wraps all of that into two tools: agnes_image_generate handles text-to-image, reference-image editing, and multi-image compositing; agnes_video_generate covers text-to-video, image-to-video, and keyframe animation, with an internal dispatcher that switches between the V2.0 frame-count system and the 2.5 Flash seconds-based system based on the model name in your settings. You just pass a prompt and your assets.\n\nA dedicated Agnes tab also appears in the browser settings panel, where you can adjust the model, size tier, aspect ratio, video duration, and frame rate. Switching models auto-adapts the form layout and recommended defaults; changes persist to your settings file and take effect on the very next tool call without a restart. The UI follows DSH's official theme tokens for light and dark mode and ships with built-in English and Chinese copy.\n\nIt is built for anyone doing AI visual creation within DSH — batch-generating imagery, turning a short brief into a clip, or animating between keyframes — where a single sentence in the chat is all it takes to get results once the plugin is installed and the API key is configured.

Use Cases

  • Generate images or short clips from a single prompt in a DSH chat
  • Edit images with reference photos or composite multiple assets into one
  • Create smooth keyframe animations with transitional motion

Best For

  • Engineers doing AI visual work within a DSH session
  • Designers and ops teams who batch-generate images or short clips
  • Developers who would rather skip hand-crafted API calls, async polling, and dual parameter mapping