GITHUB TOPIC
42个项目包含此标签
42 个项目
GitHub Topic 精确匹配
ysr666
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.
oil-oil
Near-native image understanding for DeepSeek Harness
Stormycry-cryp
Self-contained DeepSeek Harness (DSH) plugin for Provider/Auth login, model switching, image fallback, token/cost analytics, and same-port Web restart. Useful? A star helps.
Flyvhidbwo
DeepSeek Harness 插件：DeepSeek 大脑 + 自动识图。GUI 附加图片自动经 OpenAI 兼容 VLM 转译成文字后交给 DeepSeek 作答；支持百炼/智谱/OpenRouter 等任意 OpenAI 兼容端点（默认 qwen3.7-flash），无 key 自动探测本地 Ollama（图片不出本机）；安装时有一问式确认
jyh20030112
Dsh-visual-plugin.Give your text-only model eyes: forward user images to any OpenAI-compatible vision model and see the results in a Web UI right panel
siegfly
Vision-language gateway plugin for DeepSeek Harness - paste an image, DeepSeek sees text
whitelonng
DeepSeek Harness plugin: describe_image — give a text-only model vision through an OpenAI-compatible VLM endpoint
MC5lan
给 DeepSeek 安装一双眼睛和一支画笔:会话里直接贴截图/图片,GLM 视觉模型先精确转写图片内容(报错信息、代码、界面逐字保留),然后 DeepSeek 继续处理你的问题——同一轮完成,全程无感;需要配图时,DeepSeek 自动调用文生图后端出图并显示在会话中。
Favio8
DeepEye vision plugin for DeepSeek Harness (DSH): image description, OCR, VQA, UI layout, and clipboard analysis.
GOU-GEE
该仓库暂未提供项目说明。
libinyam
Config-only DeepSeek Harness bundle for OpenAI-compatible vision models.
Sorwcyra
Paste images into DeepSeek Harness with a four-model vision race, OCR, and an automatic text bridge.
dongsheng123132
Native vision, gpt-image-2 and Seedance plugins for DeepSeek Harness via Xiapan Cloud
reimu-create
DSH plugin: text-only models (e.g. DeepSeek-V4) automatically see images via a vision model. Official surface-replace, cache-friendly, human transcript untouched. 纯文本模型自动识图桥
welsione
MiniMax multimodal capability hub for DeepSeek Harness (DSH): image understanding (VLM), text/image-to-video, speech, music, audio cover, web search, quota — one mmx_multimodal model tool wrapping the mmx-cli.
haiziyao
Vision routing and image generation for DeepSeek Harness through a fixed Mix model.
Hyp6666
A lightweight DeepSeek Harness vision delegation tool for text-only routes, with native OpenAI Responses, Chat Completions, and Anthropic Messages adapters.
mochgolf
Transparent image preprocessing route for DeepSeek Harness
RRRosmontis
Qwen-MM-Plugins integration bundle for DeepSeek Harness (dsh) — multimodal MCP tools (vision, OCR, ASR, search, video, Blender, FreeCAD) + image attachment bridge. 让 DeepSeek Harness 原生支持多模态。
ShuiHan268
DeepSeek Harness 的 Qwen-MM-Plugins 集成插件：12 个多模态 MCP 工具（视觉/OCR/定位/ASR/音视频）、Web 设置页（粘贴 Qwen API Key 即用）、内置技能与一键安装器
tiefeiyu
A see_image vision tool plugin for DeepSeek Harness — describe images through any OpenAI-compatible vision model (GitHub Copilot, OpenAI, Ollama, vLLM, LM Studio).
zhuiyueya
Voice for DeepSeek Harness（dsh） — speech-to-text input + read-aloud TTS for text-only DeepSeek, zero API key.
chang416
Vision + smart model routing for DeepSeek Harness. Gemini sees. DeepSeek codes.
InkshadeWoods
DeepSeek Harness 视觉增强插件：将图片交给外部视觉模型分析，输出带坐标化视觉原语的纯文本证据，使不支持多模态的文本模型也能在对话中理解图片、截图与文档。
kanchengw
Plug-in vision for text-only models in DSH, with native multimodal interaction, layered memory cache, and intent router.
Leeminjing
Give text-only DeepSeek models on-demand vision: upload images, DeepSeek answers by calling a view_image tool backed by any OpenAI-compatible vision endpoint (Qwen/DashScope by default).
nlqh7
给 DeepSeek Harness 纯文本模型加视觉：聊天框拖图自动分流给用户配置的视觉模型转文字，v4 不切换模型即可识图。 Vision for text-only DSH models: routes chat-box images to a user-configured vision model and returns text descriptions, deepseek-v4-pro reads images without switching.
TwistedRiCen
DSH-native Vision Evidence bridge for text-only reasoning models with native image attachments and strict multi-image validation.
wulusai2333
DeepSeek Harness (DSH) native plugin — describe_image tool: a vision bridge (image → mimo-v2.5 → text description) over the ctx.fs / ctx.credentials seams
xsoc1
Eyes for text-only DeepSeek: view_image tool (local Ollama or any OpenAI-compatible VLM) + chat image-attachment bridge — paste/drop images in the chat and the model can see them.
Vision toolkit for DeepSeek Harness -- give text-only agents eyes
zjcdkj
DeepSeek Harness (DSH) plugins. qwen-image gives a text-only coding model eyes: an image goes to a Qwen-VL route through ctx.llm and comes back as text, so DeepSeek keeps coding while Qwen looks. Pure ESM, no build permission at install. | DSH 插件集：qwen-image 让纯文本模型借千问 VL 读图，返回文本；纯 ESM，安装无需构建授权。
CaseyTso
给纯文本 DeepSeek Harness 模型加上识图能力：analyze_image 把图片转发到任意 OpenAI 兼容视觉端点 | Vision bridge for text-only DSH models
hanchn
A zero-config, multi-provider vision tool for DeepSeek Harness with automatic local model discovery and privacy-aware remote fallback.
hypergraphdev
DeepSeek Harness browser-extension edition: side panel with page-context awareness, vision-bridge multimodal image reading, and voice input
junhongchashui
零修改、零切换的 DeepSeek Harness 视觉能力插件：纯文本模型粘贴即读图片，云端 + 本地 Ollama 双后端自动切换，ModLens v2 风格结构化证据输出。
ruby1304
Vision for DeepSeek Harness agents — paste images in the Web composer, delegate reads to Kimi/MiniMax vision routes on isolated contexts; zero image bytes in the main session
skillre
Zero-core-change vision capability for DeepSeek Harness: the describe_image tool + profile bundle, installable via 'dsh plugin add'
DeepSeek Herness plugin. dsh插件，支持在创建自定义模型时手动选择模型能力，比如模型是否支持图片输入等。
wumu1111111
Agnes omni-modal plugin for DeepSeek Harness: agnes_vision (image understanding) + agnes_image (text-to-image / image-to-image) + a vision bridge that lets you send images in chat. API key via DSH credentials, never in code.
wuwangmao
DSH bundle: Qwen multimodal bridge — vision (qwen3-vl), speech-to-text (qwen3-asr), text-to-image (qwen-image), for DeepSeek Harness
zhuiyueya
Give text-only DeepSeek models eyes — a DeepSeek Harness plugin that transparently converts chat images into OCR text + vision-model descriptions before they reach the LLM. Configure vision backends (GLM-4V, Qwen-VL, Gemini, Ollama…) right in the Models settings page; multi-backend fallback chain, double-layer caching, no config files.
