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← Topics ranking · 2026-10
GITHUB TOPIC

#vision

GitHub repositories that have self-applied the topic "vision" — a creator-tagged metadata that surfaces how AI projects describe themselves.

17
tagged repos
53
top 17 stars
7
with tool sigs
17
shown

REPOS Repos for #vision (top 17 by stars)

KuaaMU/mcp-vision-bridge

MCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude Code, Codex, Kimi, opencode, PI.

TypeScript ★ 13 AI 60
SIMON-WORLD/codex-deepseek-vision

Codex vision bridge for DeepSeek V4 Flash: give text-only DeepSeek image capability in Codex. Local proxy turns pasted images and view_image into text via free GLM-4V-Flash or any OpenAI-compatible vision API. No GPU, no Ollama.

Python ★ 8 AI 90 1 sig
qiyuechen0929/vision-bridge

Vision Bridge — 给纯文本模型(DeepSeek 等)加"眼睛"的 Windows 工具包。监视剪贴板和临时目录,把粘贴/截图的图片自动交给 GLM 视觉模型转成文字,再交回你的 AI 分析。零依赖(纯 PowerShell),适用于 Claude Code、OpenCode、Codex、Cursor 等任意能执行本地脚本的 AI 工具。

PowerShell ★ 7 AI 70 2 sig
sfyyy/dsh-vision-bridge

On-demand vision for text-only DeepSeek Harness (DSH) sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model

JavaScript ★ 6 AI 60 Solo 1 sig live ↗
whitelonng/dsh-plugin-describe-image

DeepSeek Harness plugin: describe_image — give a text-only model vision through an OpenAI-compatible VLM endpoint

TypeScript ★ 5 AI 60
moduqishi/GrassVison

给纯文本大模型装上原生视觉:流式真实思考链 · 跨轮次无感重看 · 像素级证据与 SVG 图元 · OpenAI/Anthropic/Responses 三协议兼容 | Native vision for text-only LLMs: streaming real thinking chain, cross-turn re-view, pixel-level evidence & SVG primitives, OpenAI/Anthropic/Responses compatible.

Python ★ 3 AI 50
DLeungDL/Vision-for-LLM

A skill that lets an AI agent see images through an external, OpenAI-compatible vision API.

JavaScript ★ 2 AI 90
54xkeee/dsh-youreyes

Eyes for text-only DeepSeek on DeepSeek Harness: model-invokable vision tool + wrapper adapters + general VLM channels (OpenAI-compatible / Gemini / local Ollama)

TypeScript ★ 2 AI 60
xsoc1/dsh-image-vision

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.

TypeScript ★ 2 AI 60 Solo live ↗
zunyiqingfeng-code/deepseek-vision-mcp

DeepSeek 网页版视觉 MCP / DeepSeek Web Vision MCP: 为 Claude Code / OpenCode / Codex 等提供本地图片分析、批量截图审查与 Windows 自主截图 (unofficial reverse-engineered, for learning only)

Python ★ 1 AI 70
BOMDIAMARK/print-contexto

Tirou print no Windows, o Ctrl+V vira o caminho do arquivo + uma descrição feita por IA (Claude ou Ollama local).

Python ★ 1 AI 70
gmleong/dsh-img

Give text-only models eyes: analyze_image tool for DeepSeek Harness, backed by free Chinese vision APIs (GLM-4V-Flash / Qwen-VL) or any OpenAI-compatible endpoint. 给纯文本模型装上眼睛的 dsh 插件。

JavaScript ★ 1 AI 60
Harvey-Will/dsh-vision-analysis

DeepSeek Harness 图像理解插件 · 8 种分析模式 · 支持任意API接口 · 内置免费视觉模型 | DeepSeek Harness vision plugin · 8 analysis modes · works with any OpenAI- or Anthropic-compatible API · built-in free vision model

TypeScript ★ 1 AI 50 1 sig
kulebbb/dsh-vision

Give text-only DeepSeek models vision by describing images through an OpenAI-compatible vision model (DSH plugin)

JavaScript ★ 1 AI 35
usagi20/claude-code-vision-skill

Give Claude Code image understanding when its primary model cannot see images. Supports UI screenshots, photos, documents, charts, comparisons, and Windows clipboard input through Qwen.

JavaScript ★ 0 AI 100 1 sig
treygoff24/lens

Agent-first CLI for natural-language image-library search — caption once with Cerebras vision, search the whole index in one model call. No vector DB.

Rust ★ 0 AI 70 2 sig
sameergdogg/lightbox

Apple Photos for AI tools: a Swift toolkit, CLI and MCP server that index a Photos library on your Mac so Claude and local models can search and look at it.

Swift ★ 0 AI 60 1 sig

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#codex

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Aggregated by case-insensitive match against topics_json of each repo's latest content snapshot. methodology