@mengli114/dsh-image-tiler
DSH agent tools: slice a large image into labeled tiles (size or columns x rows) with an overview and a visual workbench; read_tiles selects only what the vision model needs.
278 results
DSH agent tools: slice a large image into labeled tiles (size or columns x rows) with an overview and a visual workbench; read_tiles selects only what the vision model needs.
DSH plugin: auto-tiles oversized chat images into labelled grid pieces (row/col metadata, overlap-aware, multi-image group isolation) so the DeepSeek vision model keeps fine detail instead of the ~800px downsample.
ClawShell vision re-implemented as DeepSeek Harness plugins: self-perception (sense), self-adaptation (adapt), swarm trust + ecological niche (swarm), plus tools.
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.
Windows computer-use bundle for DeepSeek Harness: screenshots, window enumeration, and mouse/keyboard control with approval gates.
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.
mm-vision (通感编码器) for DeepSeek Harness — give any text-only LLM the ability to see images via structured spatial text encoding. Registers the mm_vision tool.
dsh bundle: subagent_vision — delegate image reading to a vision-capable model from a text-only session, plus paste-to-path so pasted images reach the subagent as file paths.
Native Windows Computer Use tools for DeepSeek Harness.
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).
Gives a text-only LLM vision capability
dsh-vision-plugin: give DeepSeek Harness text-only models a pair of eyes — pasted images are transcribed by a vision model before they reach a text-only main model, plus the vision_analyze tool and a bilingual settings page.
DSH 静默视觉增强:主模型照常选择,图片自动交给固定视觉模型后以隐藏上下文返回主模型。
DSH plugin: vision_read — route image reading to a dedicated vision model (e.g. Kimi K3) so text-only agents can see images
Adaptive image routing for DeepSeek Harness: pass images directly to native multimodal models and transcribe them only for text-only models.
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).
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.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
DSH 识图桥接插件:让 DeepSeek 等纯文本模型会话也能发送图片——图片在进入模型前自动交给外部视觉模型(阿里云百炼 qwen-vl)识别,识别结果以文字形式喂给当前模型。
Multimodal plugin for DeepSeek Harness: understand images and generate images through configurable OpenAI-compatible or DashScope endpoints.
火山方舟 Coding Plan LLM provider for DeepSeek Harness — provider-scoped PDF、图片与 Responses API 流式支持
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.
给 DSH agent 装一双眼睛:调用在线 VLM(多供应商、OpenAI 兼容)分析本地图片、URL 与会话上传的附件;勾选的模型特色能力会实时注入系统提示
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.