dsh-auto-vision: Visual Bridging for Models Without Image Input Support
The DeepSeek Harness (DSH) plugin `dsh-auto-vision` provides visual capabilities to models that do not support image input (such as `deepseek-v4-pro`). It intercepts images, uses a configured vision model to recognize them and generate text descriptions, which are then written into the history as collapsed context to enable persistent memory. The plugin features automatic completion of input declarations, request-level stripping, and recursive recognition of tool results. It can be enabled through configuration alone, without modifying source code, allowing non-vision models to handle screenshots.
Read MoreDeepSeek Harness Vision Bridge Plugin
`dsh-vision-bridge` is a vision plugin designed for DeepSeek Harness (DSH), aiming to compensate for the limited image-processing capabilities of text-only models. The plugin supports configuration through a GUI or YAML, allowing users to choose a DSH provider or a custom OpenAI-compatible API. Its core features include: enabling models to proactively invoke the `vision_bridge_read_image` tool for OCR and semantic analysis; automatically uploading images pasted into the input field and generating reference markers; and providing connectivity testing and visual configuration. It is compatible with DSH 0.1.1+ and enables the flexible construction of vision agents by reusing existing channels or using standalone configuration.
Read MoreDeepSeek Harness Vision Bridge Plugin (DSH Vision Bridge)
`dsh-vision-bridge` is a DeepSeek Harness (DSH) plugin designed to solve the problem that text-only models cannot directly process image input. By intervening in the message-processing pipeline, it converts images into tool-call instructions and invokes a configured visual tool (such as `vision_glance`) to analyze them, thereby giving text models visual capabilities. Core features include image byte materialization, custom prompts, cross-platform support, and exclusion preset controls. After installation, the visual tool selection and exclusion rules must be configured in the DSH settings. The plugin depends on the `vision-tools` skill and uses an Admission patch to modify process-level configuration, allowing visual information to be obtained in sessions of unsupported models.
Read Moredsh-vision-bridge: General-Purpose Vision Bridge for DeepSeek Harness
`dsh-vision-bridge` is a runtime intermediary plugin for DeepSeek Harness (DSH), designed to give text-only chat models native image-processing capabilities. The plugin intercepts and rewrites image blocks, converting them into descriptive textual context for the text model, while also supporting native pass-through and approximately 40 vision tools (such as OCR, VQA, and structured extraction). It provides three operating modes: hybrid (default, automatically describes images and preserves tool usage), llm (pure rewriting), and tools (explicit tool invocation only). Users can install it via the terminal and configure it in settings. Note that the Web UI must be restarted after installation, and a Node.js 20+ environment is required.
Read MoreDeepSeek Harness Vision Bridge Plugin: analyze-image-tool
`analyze-image-tool` is a general-purpose visual interface plugin that provides a “visual bridging” layer for DeepSeek Harness text models. It supports any OpenAI-compatible endpoint, allowing multimodal models to analyze images through the `analyze_image` tool call. Core features include universal endpoint configuration, sandboxed secure reads, schema-safe compilation, automatic sanitization of API keys and reasoning traces, structured return payloads, and a WebUI settings panel. Installation requires Node.js ≥ 18.17 and DSH 0.1.x. Note that the image-pasting feature requires installing the `main` branch, and historical sessions cannot read previous attachments after a restart.
Read Moredsh-pro-vision: Enable DeepSeek-V4-Pro to recognize images without switching models.
dsh-pro-vision is a DSH plugin (v0.1.0, MIT License) developed by lasdrder0705 that addresses the limitation of DeepSeek-V4-Pro regarding image input. It utilizes `deepseek-v4-flash-vision-exp` to recognize images from the conversation and forwards the resulting descriptions to Pro in the `[Image N]` format. This allows the main model to operate without switching, while also caching attachments to avoid duplication.
Read MoreDSH-Vision-Bridge: Adding Image Understanding to DeepSeek Harness's Text-First Model
DSH-Vision-Bridge is an MIT-licensed plugin for DeepSeek Harness, designed to provide image understanding capabilities to text-first models. This plugin bridges image requests to external vision APIs (supporting Gemini, OpenAI, and Anthropic-compatible interfaces) and returns only the analysis results in text form, preventing image blocks from being directly forwarded to upstream models. Its core advantage lies in preserving the original model list and selection experience, with independent management of vision bridge preferences through the "glasses" control next to models, without interfering with model selection logic. The plugin supports configuring multiple isolated vision providers in settings, strictly limiting usage to HTTPS endpoints, and keeping sensitive information such as API keys on the Host side. Installation requires compatibility with Harness 0.1.x and Node.js 2.
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