dsh-mindseye
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
45 results
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
Model pricing and capability board for DeepSeek Harness: compare per-1M-token prices, find the cheapest route, and see coding/agentic/vision tags for every LLM you can connect — in the DSH settings UI.
Oh My DSH — tiered model routing for DeepSeek Harness: think/build tiers, an automatic vision tier for images, and image generation through an ordinary chat model (e.g. gpt-5.6-luna on opencode-go), all configured from an 'oh my dsh' settings tab. Works in the Web (Desktop) surface and in the terminal (TUI).
OmniVision for DeepSeek Harness: an OmniParser-powered GUI agent plugin — screen capture, element recognition, click/type automation and a browser vision dock with recognition history, diffing and summary
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.
Remote development for the DeepSeek Harness web GUI: connect a workspace to an SSH server, provision a .dsh-server there, run its files, terminals, conversations and agents on that machine — Work mode included, as the harness running there shown here
DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.
DeepSeek 余额实时显示插件(含视觉模型): 在 dsh Web UI 输入框下方的统计条实时显示账户余额与本次对话的估算消耗, 内置 deepseek-v4-flash / deepseek-v4-pro / deepseek-v4-flash-vision-exp 官方峰谷定价
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.
Vision recognition plugin for DeepSeek Harness: paste images into the composer, recognize them via GLM-4V on the host side, and inject the result into the conversation.
飞书与 DeepSeek Harness 双向集成:总结推送、回复路由、绑定 UI 与二维码 provisioning。 / Bidirectional Feishu integration for DeepSeek Harness: summary delivery, reply routing, binding UI, and QR provisioning.
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.
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).
DSH 图片插件,三个工具覆盖三种场景:ask_user_choice 图片/图文混合选择卡(Web GUI 渲染,可放大查看)+ show_images 回复内嵌图片(图文混排)+ save_received_images 盲模型收图存为工作区文件;聊天栏所有图片点击放大,支持滚轮缩放与拖拽平移。来源支持本地路径 / http(s) URL / base64 data URI。零 token 本地渲染,纯插件实现不改核心包。
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.
Give DeepSeek Harness agents eyes: local image analysis via vision models — um_analyze_img tool + model-capability recognition + hot-switch settings UI
DSH 截图提问插件:输入框相机按钮或 Ctrl+Shift+A → 自动最小化窗口 → 原生全屏框选浮层(确认/取消按钮)→ 选区直接作为图片附件进入当前会话输入框,全程不落盘。Screenshot-to-ask for DeepSeek Harness: the window hides, a native region overlay covers every monitor, and the crop lands in the composer as an image attachment.
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.
macOS desktop control for DeepSeek Harness: agent operates non-browser apps (CapCut/PS/WPS/native clients) like a human — see screen, move mouse, type text. 14 tools + vision closed-loop (see/locate/click/verify).
DSH 文件适配插件(面向 DSH 0.1.2-alpha.1):拖拽/粘贴/点击上传/@ 文件引用加入本地文件,以「文件:<路径>」引用随消息发出;主模型按需调用 dshomnifile 工具解析——文本多编码直读、Office/PDF 等文档由 anydoc 提文本、文档内嵌图片与扫描/图文混排 PDF 页由进程内 pdfjs 渲染 + 配置的多模态模型识别(内容哈希缓存 + 并发排队)并组装为 Markdown;聊天内文件卡片可预览图片、本地打开源文件;识别走官方 ctx.llm.stream。
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.