dsh-quicksight
Two-tier image reading for text-only models in DeepSeek Harness: fast local OCR (RapidOCR, offline) first, then a vision model via modlens as fallback.
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Two-tier image reading for text-only models in DeepSeek Harness: fast local OCR (RapidOCR, offline) first, then a vision model via modlens as fallback.
DSH bundle: Qwen multimodal bridge — vision (qwen3-vl), speech-to-text (qwen3-asr), text-to-image (qwen-image), via the deepseek-vision skill scripts
格物审视面插件:gewu_prep(HTML 逐页截图 + subagent_vision 简报契约生成,宿主直起 Chrome)+ gewu_locate(真值核验:文字定位到页码/行号)。让无视觉能力的主脑经 subagent_vision 完成视觉检验。
Model-facing accurate_vision tool: precise image spatial reasoning via a vision model
The see tool for the DeepSeek Harness: offline OCR with positions (macOS Vision) + ASCII layout art (PIL) + vision-model semantic description (mimo-v2.5 via the opencode-go gateway). Works with any model, including text-only ones.
明眸 VisionBridge - 自研视觉桥:瞎子模型收图时自动调用视觉模型识别,把识别文字喂回主模型,无感、可配置、升级不丢
DSH plugin (DeepSeek vision bridge): give text-only agents vision through chat.deepseek.com's unofficial vision mode — WeChat-QR/password login in Settings, a deepseek_vision model tool, and automatic in-chat image transcription.
Model-facing describe_image + extract_text tools for the DeepSeek Harness web GUI: gives a text-only model reliable image understanding and OCR through an OpenAI-compatible vision endpoint, with critical-inspection prompts, auto-preprocessing, retries, and a persistent answer cache.
Visual plan mode for DeepSeek Harness: structured plan.json + plan.md, an editable React Flow canvas, comments, plan diff, versioned revisions, and reliable write-back to the agent.
DeepSeek Harness plugin: content-routing LLM adapter. Text-only requests go to DeepSeek; requests containing images go to a user-configurable OpenAI-compatible vision provider. Read_image works natively for text-only models.
DSH 视觉增强方案:识图技能(图片理解/OCR/文档解析)+ 幂等宿主补丁,让纯文本模型也能收发图片。
Persistent rembg GPU background-removal tool (remove_background) for DeepSeek Harness, in the dsh-vision-toolkit bundle form.
Bridges the four z.ai GLM Coding Plan MCP servers into DeepSeek Harness via the in-box @deepseek-ai/dsh-mcp-client: vision (GLM-4.6V stdio via npx @z_ai/mcp-server), web reader, web search prime, and zread repo MCP (streamable-http at open.bigmodel.cn)
Bridge Apple's on-device Vision framework (macOS) into DeepSeek Harness: OCR, image classification, face detection, and document layout as local dsh tools. No network, no API key, no daemon.
Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes
Umi-OCR vision bridge for DeepSeek Harness: when the main model is text-only, OCR images with local Umi-OCR and let the original DeepSeek model answer.
A vision bridge for text-only DeepSeek Harness models: registers an `analyze_image` tool that answers questions about images via ANY OpenAI-compatible vision/multimodal endpoint (SiliconFlow, DashScope, Zhipu, OpenRouter, Ollama, ...).
Workspace-owned durable process supervision, readiness checks, and a Runtime Center for DeepSeek Harness.
Zero-config local vision and realtime audio routing for DeepSeek Harness
DSH plugin that drives a local macOS camera gesture mouse helper.
Lightweight DSH upload bridge: images and common documents become workspace paths so a text-only DeepSeek model can read them with Qwen-MM-Plugins vision tools.
DSH Web 插件:调用智谱 GLM 视觉模型分析图片(analyze_image 工具 + 插件设置卡片)。
替换侧边栏左上角的品牌名与构建徽标文案(默认 DSH Local Build + commit hash),经 WebUI 插件配置页卡片实时配置。 | Replace the sidebar's top-left brand name and build-revision badge text (defaults to DSH Local Build + commit hash) via a live settings card in the Plugin Config page.
A canvas the agent draws on and then sees: eyes_render draws text/shapes in the Web GUI, stores the PNG locally, and hands the result back to the model. Windows-only: eyes_ocr reads text via the built-in Windows OCR engine (Windows.Media.Ocr).