dsh-modlens
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
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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
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。
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。
Edit a user message in conversation history: confirm the revision, drop everything after it, and regenerate from the revised prompt in a forked session.
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)
Windows computer-use capability for DeepSeek Harness: screenshot → vision model → simulated mouse/keyboard input, with self-evolving knowledge base.
DSH plugin: auto-downscale oversized images (and a portable Agent Skill). Powered by sharp. Install from GitHub — no npm publish.
DeepSeek Harness (DSH) native plugin: the describe_image tool, a vision bridge (image -> mimo-v2.5 -> text description) over the ctx.fs / ctx.credentials seams
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 原生插件:让纯文本模型(如 DeepSeek)经 agent/pre-step 劫持 + resolveModelInfo 包装自动识别上传图片(qwen-vl),使纯文本对话也能“看见”图片。
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.
Transparent image preprocessing route for DeepSeek Harness
Popper: a falsification-driven correction loop for agent sessions — claim commitment, gate falsification, and mutually exclusive hypothesis revision, with an append-only evidence ledger
DSH 视觉插件(Edge 豆包桥接):通用识图 + 数学建模图专项(几何图形/流程图/图表/表格/公式)+ 不确定项澄清闭环。零成本,免 API Key。
Auto-switch DeepSeek models for DeepSeek Harness: routes every model request to the vision model when images are present, to the pro model for complex tasks, and to the fast model otherwise; includes a switch_model tool for manual per-session overrides.
Vision toolkit for DeepSeek Harness -- glance, ground, detect, crop CLI tools for text-only agents to understand images
Vision-first MCP for text-only Agents, using Agnes AI for image understanding with experimental generation and editing.
Native macOS OCR and Vision tools for DeepSeek Harness
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)
Image routing for text-only models in DeepSeek Harness: a global analyze_image tool (Kimi vision) plus automatic rewriting of pasted images into attachment references when the active model cannot see images.
Offline macOS Vision OCR tool for DeepSeek Harness
Automatic model routing for DeepSeek Harness: a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates to the models you already configured in Settings → Models. 内置智能路由:三级难度 + 视觉自动路由,模型从「设置-模型」已配置模型中选取,虚拟 smart 模型零配置接入。
DeepSeek Harness plugin: direct multimodal image transfer declarations + per-session image clearing, reasoning-effort auto-fill, and progressive Figma MCP bridging (design-to-code + AI-driven design).
为 dsh-tool-vision 桥接导出的图片提供对话内联预览:用户粘贴的图片在气泡中显示缩略图,不改变桥接文本与模型行为