GITHUB TOPIC
28个项目包含此标签
28 个项目
GitHub Topic 精确匹配
ZSeven-W
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.
oil-oil
Near-native image understanding for DeepSeek Harness
Flyvhidbwo
DeepSeek Harness 插件：DeepSeek Pro 大脑 + 自动识图。GUI 附加图片默认经官方 deepseek-v4-flash-vision-exp 原生识图，转译成文字后交给 DeepSeek 作答（纯文本的 V4-Pro 也能看图）；支持百炼/智谱/OpenRouter 等任意 OpenAI 兼容 VLM，无 key 自动探测本地 Ollama；安装时有一问式确认
supersealwqas
DeepSeek Harness 第三方 API 与自定义模型设置插件：支持请求头、User-Agent、模型列表、图像输入和思考等级 | WebUI plugin for third-party APIs and custom models with request headers, image input, and reasoning levels
Favio8
DeepEye vision plugin for DeepSeek Harness (DSH): image description, OCR, VQA, UI layout, and clipboard analysis.
haiziyao
Vision routing and image generation for DeepSeek Harness through a fixed Mix model.
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。
wang-bool
DeepSeek Harness plugin for image upload, in-chat rendering, and vision analysis with cloud or local models. 图像上传、显示与解析。
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。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。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。The DSH plugin allows users to manually configure model capabilities when creating a custom model, such as image input support.
AlexKaiqi
Model catalog, portraits, Agent selection, and multimodal runtimes for DeepSeek Harness
dongsheng123132
Native vision, gpt-image-2 and Seedance plugins for DeepSeek Harness via Xiapan Cloud
GooDAnDReaDY
Universal vision bridge for DeepSeek Harness: attachments with native models, 40+ tools, PDF/OCR/diagrams.
hyper-dsh-plugins
A lightweight DeepSeek Harness vision delegation tool for text-only routes, with native OpenAI Responses, Chat Completions, and Anthropic Messages adapters.
lhbsaa
DeepSeek Harness vision plugin: analyze_image (structured OCR evidence) + capture_image (USB camera visual loop). 摄像头视觉闭环 + 结构化证据，支持 Ollama / DeepSeek / Xiaomi 三后端。
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
1HelloMan1
Silent vision bridge for DeepSeek Harness: route chat images to a fixed vision model, preserve UI originals, and reuse observations across compaction and restarts.
AlloyPlane
该仓库暂未提供项目说明。
blackdm666
统一接入 Image2 与 Nano Banana 四款模型，覆盖文生图、多参考图编辑、2K/4K 输出、顺序批量任务、默认模型持久化和脱敏 Key 配置。
kanchengw
Plug-in vision for text-only models on DSH, with native interaction for image understanding and generation, and GUI automation, through layered evidence memory and cache.
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).
mochgolf
Transparent image preprocessing route for DeepSeek Harness
DSH plugin: text-only chat models get local Ollama VL image descriptions (qwen3-vl:8b), VRAM cooling
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。
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
sprainJinyu
Route-preserving image understanding for text-only models in DeepSeek Harness (DSH).
xisheng687
Bring your Grok subscription into DSH as an ACP subagent, extending native images with audio and video tools.
hedging8563
TokenLab native-protocol model provider, multimodal tools, and async tasks for DeepSeek Harness
UnforgetMemory
Give DeepSeek Harness (DSH) agents eyes: local image analysis via vision models — um_analyze_img tool, model-capability recognition, hot-switch settings UI.
