dsh-vision-bench
Vision 模式:会话区调试/上位机点表(倍率/单位/告警上下限、CSV 导入导出、可视化组件),Keil 编译与日志、产物哈希、OpenOCD 烧录确认、串口报文订阅,Modbus 读点和受控写点(Agent 写点需界面批准),人工操作请求卡、共享任务与时间线,并安装「Vision模式」Agent 预设。
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Vision 模式:会话区调试/上位机点表(倍率/单位/告警上下限、CSV 导入导出、可视化组件),Keil 编译与日志、产物哈希、OpenOCD 烧录确认、串口报文订阅,Modbus 读点和受控写点(Agent 写点需界面批准),人工操作请求卡、共享任务与时间线,并安装「Vision模式」Agent 预设。
Aura Vision — free vision OCR plugin for DeepSeek Harness web profile: Zhipu GLM-4V-Flash (free tier), adaptive tile recognition for long documents, history with favorites and Markdown/Excel/Word/PNG export.
本地图片理解插件:vision Service + vision_describe 工具(MiniMax-M3 → 智谱 GLM-4.6V-Flash → 本地 Ollama gemma3:4b 三层降级链)
Windows computer-use capability for DeepSeek Harness: screenshot → vision model → simulated mouse/keyboard input, with self-evolving knowledge base.
Lightweight, route-preserving vision link for DSH: a configured vision model sees while the selected text model stays in control.
DSH plugin: auto-downscale oversized images (and a portable Agent Skill). Powered by sharp. Install from GitHub — no npm publish.
Model-facing analyze_image tool for the DeepSeek Harness: multi-modal image understanding via any OpenAI- or Anthropic-compatible vision API, with 8 analysis modes, local path / http(s) URL / data URL input, and a Web UI hint that guides image-incapable models to the reliable local-path route.
DSH plugin: vision_read — route image reading to a dedicated vision model (e.g. Kimi K3) so text-only agents can see images
Plug-in vision for text-only LLMs — a DeepSeek Harness (dsh) fork of ModLens adding multi-engine support (Gemini, Volcengine Ark/Doubao, Claude) and per-call engine selection
DeepSeek Harness plugin: Bilibili keyword video search, video metadata, subtitle transcripts, direct play URLs, and multimodal frame viewing (bilibili_search / bilibili_video / bilibili_subtitles / bilibili_playurl / bilibili_frames). Anonymous by default with risk-control bootstrapping; an optional SESSDATA unlocks login-gated subtitles and higher-quality streams.
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
DeepSeek Harness 视觉桥:自动发现你已配置的多模态模型,给纯文本主模型装上 vision 工具,识别结果以纯文本返回。零配置,一条命令安装。
Eyes for text-only DeepSeek: view_image tool (any OpenAI-compatible VLM, local Ollama or cloud) + chat image-attachment bridge that rewrites pasted/dropped images into view_image path markers
DeepSeek Harness 宿主插件:让不支持图片输入的纯文本主模型也能"看图"(describe_image 工具 + 图片标记替换)
DSH 本地视觉能力:macOS Vision OCR + ollama qwen3-vl 语义描述 + 上传图片桥接(图片块转文本,text-only 通道可用)
deepseek-eyes:给 DeepSeek Harness 的纯文本模型装上眼睛——把粘贴的图片经 OpenAI 兼容视觉 API 转成文字描述,再转发给真实的文本模型(Give text-only models in DeepSeek Harness eyes: describe pasted images via an OpenAI-compatible vision API, then forward to the real provider. Not affiliated with DeepSeek.)
ClawShell vision re-implemented as DeepSeek Harness plugins: self-perception (sense), self-adaptation (adapt), swarm trust + ecological niche (swarm), plus tools.
On-demand vision for text-only LLMs in DeepSeek Harness: keep pasted/attached images in the backend, and let the model call view_image to look at them anytime via any OpenAI-compatible vision endpoint — as if the model were natively multimodal.
Windows-first vision suite for DeepSeek Harness.
dsh-eye-vision: give text-only DeepSeek Harness models eyes — image understanding via any OpenAI-compatible multimodal API. Fork of dsh-free-vision with custom-provider fixes and an allowed-directories whitelist.
DSH LLM adapter that transcribes native image attachments with Codex Luna before delegating to DeepSeek
Universal local vision bridge tool for DSH: describe/answer questions about images via any OpenAI-compatible local inference framework (llama.cpp / Ollama / LM Studio / vLLM), vision models auto-detected
Let DeepSeek-V4-Pro (text-only) use V4-Flash-Vision-Exp for attached images. Mac/Windows/Linux.
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)