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dsh-tool-vision

DeepSeek Harness Other Low risk

Local-first structured vision for text-only agents: images go to a local OpenAI-compatible VLM and come back as JSON evidence (summary, verbatim OCR, layout regions, entities/relations, colors, explicit uncertainty), with anti-hallucination fallback and an optional paste/upload bridge; zero cloud cost, images never leave the machine.

本地优先的结构化视觉插件:图片交给本地 OpenAI 兼容 VLM,返回 JSON 证据(摘要、逐字 OCR、版面区域、实体/关系、配色、显式不确定项),带反幻觉回退与可选粘贴/上传桥;零云端成本,图片不出本机。

How to install

DeepSeek Harness dsh plugin add dsh-vision-local

About

dsh-tool-vision **为纯文本的 DeepSeek Harness agent 提供本地优先的视觉能力。** npm 包:**dsh-vision-local** · 源码仓库:gloryxpnv/dsh-tool-vision · English README 让纯文本模型(DeepSeek、GLM 等不支持图片输入的模型)拥有"视觉"——使用**本地**视觉模型,**零 API 成本**,**图片数据完全不出本机**。 DeepSeek (纯文本) ──▶ vision 工具 ──▶ 本地 VLM(LM Studio / Ollama / 任意 OpenAI 兼容端点) ◀── 结构化 JSON 证据 ──▶ --- 亮点 🏠 **完全本地、完全私密。** 图片只发送给你自己的本地视觉模型(LM Studio、Ollama、vLLM 或任意 OpenAI 兼容端点)。无需云端 key、无单图成本、图片字节永不离开你的机器。 📋 **结构化证据,而非模糊转述。** VLM 被要求填写固定 JSON 模板——summary(摘要)、ocr(逐字全文+行)、layout(版面区域,含阅读顺序)、semantics(实体与关系)、visual(配色/风格),以及显式的 uncertainty(不确定项)列表。主模型引用具体证据作答,而不是凭空猜测。 🛡️ **反幻觉…

Recommendation signals

52 Tool quality · Based on stars, downloads, maintenance, security and docs
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Meta

License
MIT
Language
JavaScript
GitHub stars
1
mo. downloads
230
Last push
2026-08-15
Created
2026-08-15

Links

GitHub ↗ npm ↗ Report issue ↗

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
deepseek-harness, dsh-plugin, local-first, vision

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