275 results
Local multi-plan bridge for DeepSeek Harness: use your existing ChatGPT Codex, Claude, ZCode (GLM) and Qwen subscriptions through one loopback proxy, with a settings-page status card and one-click provisioning. No dsh core changes.
DSH vision/image-recognition plugin: enables AI to understand images with a configurable vision model
Browser automation toolset for dsh-tui agents: Playwright-driven browser control with deepseek-v4-flash-vision-exp visual understanding.
Multi-provider image, video, and speech generation, transcription, visual understanding, and prompt optimization with an integrated Iris workbench for DeepSeek Harness.
火山方舟 Coding Plan LLM provider for DeepSeek Harness — provider-scoped PDF、图片与 Responses API 流式支持
Native Windows Computer Use tools for DeepSeek Harness.
DeepSee: DeepSeek Harness vision, multi-model routing, and Gemini visual self-checks before delivery
DeepSeek Harness plugin: model-facing image_describe (识图) tool over the DashScope OpenAI-compatible API (qwen3.7-flash), plus a paste bridge that turns pasted images into file paths on text-only sessions and renders them back in the transcript. Bring your own DASHSCOPE_API_KEY.
Give text-only models eyes: an analyze_image tool for DeepSeek Harness, backed by free Chinese vision APIs (GLM-4V-Flash / Qwen-VL) or any OpenAI-compatible vision endpoint. 给纯文本模型装上眼睛。
Qwen-MM-Plugins integration bundle for DeepSeek Harness: bundled multimodal skills, MCP server rows, and an image attachment bridge for text-only model routes
DSH 插件：可接入识图模型 API（本地大模型识图工具 + 设置界面）。配置 OpenAI 兼容的识图接口（LM Studio / vLLM / Ollama 等），接口留空即不启用识图模型。
dsh auto-vision bridge: paste an image into a text-only model's composer and a configured multimodal model transcribes it as text, automatically.
Offline macOS Vision OCR tool for DeepSeek Harness
DeepSeek VisionPlus — official-grade vision extension for DeepSeek Harness. Routes image understanding to a free vision-model pool (Zhipu GLM, SiliconFlow Qwen) with automatic fallback, rate limiting, one-click platform tests and live status lines; text stays on DeepSeek. One-command install. MIT.
自包含的 DeepSeek Harness 视觉系统：DeepSeek 视觉孪生路由（原生图片体验 + 视觉桥请求层拦截）+ 本地 Ollama Agentic Vision 工具（describe/OCR/结构化扫描/区域查询/元素定位/双图对比/剪贴板）+ 粘贴分流（paste-to-path）。安装即用，无本机路径依赖。
让文本模型（如 DeepSeek）在 DSH 里直接收发图片：图片落盘工作区、模型可见面自动替换为 mmx（MiniMax VLM）识别结果，用户侧照常显示缩略图。
DSH host plugin: automatically sends images in user messages to a vision model (default mimo-v2.5 on opencode-go) and feeds the returned text description to the main text model (e.g. deepseek-v4-pro), without touching the visible chat transcript.
Vision for text-only DeepSeek Harness agents: delegate image reading to a one-shot subagent on a configurable vision route (MiniMax / Kimi / any OpenAI-compatible provider), keeping image bytes and the vision model's context out of the main session.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
让 DSH 直接操控你的浏览器，无需视觉能力：零 spawn 连接你已开启调试端口的 Chrome/Edge，截图、像素断言、执行页面 JS。Drive your already-running Chrome/Edge over CDP — screenshots, pixel assertions, page JS — no vision model, no per-use approval, zero child processes.
Multi-engine reverse image search aggregator for DeepSeek Harness. Turn one public image URL into Google Lens / Baidu / Yandex / TinEye / SauceNAO / IQDB / Ascii2d search links.
Local-first vision for text-only DeepSeek Harness agents: route image understanding to a local OpenAI-compatible vision model, return structured JSON evidence (summary / OCR / layout / semantics / visual / uncertainty).
Vision-first MCP for text-only Agents, using Agnes AI for image understanding with experimental generation and editing.
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。