dsh-llm-vision-bridge
Einskyle
DeepSeek vision bridge for dsh: route image attachments to a vision model (Qwen3-VL via pi-ai/llama.cpp) and continue on a text-only LLM (DeepSeek)
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
12 个项目,匹配「vision-bridge」
Einskyle
DeepSeek vision bridge for dsh: route image attachments to a vision model (Qwen3-VL via pi-ai/llama.cpp) and continue on a text-only LLM (DeepSeek)
ximengxiaolan
Composer-attached images are auto-described by an OpenAI-compatible vision model and handed to text-only models (DeepSeek) as text. ???????????
GXX182
DeepSeek Harness plugin that bridges session images to pluggable vision APIs while keeping DeepSeek as the primary model.
Xieweikang123
Give a text-only dsh model eyes: pasted images recognized into text via an OpenAI-compatible vision endpoint.
dttxorg
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness — strict evidence, health-checked failover, original pixels, and Token accounting.
lium970320
DSH 视觉桥接插件:让无视觉能力的主模型看图(会话收图 + 自动转文字 + view_image 工具)
AbdullahElTiby
Vision bridge for text-only models (DeepSeek, pi-ai routes): Gemini Flash describes attached images at the llm stream seam and provides a describe_image tool.
Icestab
DSH 插件:聊天发图自动交给视觉模型 (mimo-v2.5) 分析,把文本描述悄悄喂给纯文本主模型,聊天记录保持原图显示。
KannaKuron
Eyes for text-only DSH agents: bridges chat.deepseek.com's vision mode into DeepSeek Harness — deepseek_vision tool, in-chat image transcription, WeChat-QR login in Settings.
LittleInk
一键式为dsh提供看图功能,借鉴了claude-vision-skill,先让agent读取了这个skill,后面尝试使用的时候发现平台会限制ds模型直接读取图片(只能剪贴板或者路径),所以做了一个桥接功能,VLM看完图后再把内容发送给DS并输出内容
YuLee-314
DeepSeek Harness 视觉补全:孪生路由解锁原生图片体验,本地 Ollama 请求层看图,零云端依赖。Vision twin + local agentic vision tools for DeepSeek Harness.
chou109
dsh-vision-bridge:在 DeepSeek Harness 聊天框粘贴图片,任意模型都能看懂——纯文本模型自动转成图片路径并调用 vision_chat 识图,支持图片的模型直接接收原图。粘贴即用,自动识别、自动回答。dsh-vision-bridge: paste any image into the DeepSeek Harness chat box — every model can see it: text-only models get an automatic vision_chat bridge, vision-capable models receive the image directly. Paste, send, done.