dsh-multimodal

DeepSeek Harness is primarily focused on text-based interaction, often forcing users to switch tools or manually describe image content, which disrupts workflows and reduces efficiency. The dsh-multimodal plugin addresses this pain point by adding multimodal vision capabilities to conversations, allowing you to paste or drag images directly into chat. The plugin automatically recognizes and transcribes the content, then DeepSeek continues the analysis and problem-solving—all in a seamless, single turn without extra steps.

The plugin's core capabilities revolve around image transcription and generation. For transcription, it calls your configured vision endpoint (supporting any OpenAI-compatible API like Zhipu, Alibaba Cloud, local Ollama, etc.) to convert images into text, after which DeepSeek provides assistance based on the transcription. For image generation, DeepSeek triggers the configured image backend to produce pictures that appear directly in the conversation. Its 'blank slate' design means it ships with no built-in models, giving you full configuration freedom while offering practical features like transcription caching, vision fallback chains, and security measures (such as API key allow-lists and local endpoint support) to ensure efficient and secure usage.

This plugin is ideal for users looking to enhance DeepSeek Harness's multimodal interactions, including developers debugging error screenshots, designers reviewing interface prototypes, researchers analyzing chart data, and anyone needing to seamlessly handle images within conversations. Whether relying on cloud services or prioritizing privacy with local models, users can achieve a customized experience through flexible configuration, thereby boosting productivity and enriching dialogue capabilities.