1HelloMan1/dsh-vision-fallback
1HelloMan1★ 1JavaScript最后同步: 2026-08-18
Silent vision bridge for DeepSeek Harness: route chat images to a fixed vision model, preserve UI originals, and reuse observations across compaction and restarts.
README 摘要
dsh-vision-fallback English 中文 Silent vision enhancement for DeepSeek Harness (dsh): keep your real text-only main model (e.g. deepseek-v4-flash ), and let chat images "just work" — every image you drop, paste, or reference in the chat box is automatically sent to a fixed vision model, converted into a factual text observation, and handed to your main model as hidden context. The UI keeps showing your original image; no model groups, no model switching, no extra tools. Why - DeepSeek V4 Flash / Pro and other strong coding models are text-only : dropping an image into the chat box fails with "model does not support image input". - Existing "vision tool" plugins require saving images as files and invoking a see image(path) tool — clunky, and the main model still can't see chat attachments. - This plugin bridges the gap at the request layer, so chat-box images work exactly like you expect , regardless of which main model you pick in the model picker. How it works 1. The plugin overrides the pre-send capability check, so a text-only model can receive image-bearing messages. 2. agent/pre-step detects images in the incoming turn, and sends the image, the latest user question, and recent …
在 GitHub 查看完整 README →分类
:rocket: The Ultimate Image Uploader for Efficient Creators. Supports Obsidian, Typora, VS Code etc. and 60+ image hosting services (S3, GitHub, Cloudflare R2, Imgur, Aliyun OSS...). Paste, upload, done.
★ 27,002
liustack/modlensThe first vision plugin for DeepSeek Harness, and the vision bridge for every text-only coding agent. Paste an image, get structured JSON evidence (OCR, layout, semantics). | 全网最强 DeepSeek Harness 外挂视觉插件,为 DeepSeek、GLM 等纯文本模型外挂视觉能力,粘贴图片即得结构化 JSON 证据(OCR、版面、语义)。
★ 3,503
Tiger3807861189/J-Space-Cognition-Suite-V3.6J-Space Cognition Suite V3.6 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩:Tiger380 (UID 3494375382321675) — https://space.bilibili.com/3494375382321675
★ 3,013