Agent Vision Toolkit
为纯文本模型"看图“设计更好的视觉工具箱和技能，支持多图理解，图片问答，前端UI还原、GUI 自动化等，并可选无缝接入多个主流agent，直接识别粘贴图片｜ A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend…
Install
npx skills add Anionex/agent-vision-toolkit --skill vision-skills -a codex -g --copy -yclaude mcp add agent-vision-toolkit -- npx skills add Anionex/agent-vision-toolkit --skill vision-skills -a codex -g --copy -y{
"mcpServers": {
"agent-vision-toolkit": {
"command": "npx",
"args": [
"skills",
"add",
"Anionex/agent-vision-toolkit",
"--skill",
"vision-skills",
"-a",
"codex",
"-g",
"--copy",
"-y"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →agent-vision-toolkit
What it thinks is what it sees — give any text-only coding agent eyes: image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, as a vision toolkit plus a skill, with optional drop-in integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode.
🎯 An agent's vision capability doesn't have to live in the model — it can live in the harness.
🌐 中文 ｜ English
If your agent already runs on a text-only model such as DeepSeek but is held back by the lack of multimodality — unable to see images, with every attempt to use an image tool blocked by the system — this repository provides tools, skills, and proxy integrations that let text-only models handle visual tasks on equal or even better footing. The goal is to make the experience of using a text-model agent as seamless as using a multimodal one, and ultimately let a tool-equipped text-model agent outperform a native multimodal agent that does not use this toolkit and its methods.
This repository provides two kinds of components:
- Vision tool CLIs — multiple CLIs, plus a skill that teaches the agent when to use each one. Any agent that can invoke a shell can use them.
- Seamless integration (optional upgrade) — a transparent local proxy and single-file native plugins, so images we paste and the agent's built-in image tools both work seamlessly, with no extra tool installation or additional prompting.
All code has been verified in real Codex + DeepSeek sessions, and the same pipeline has been live-verified end-to-end in Claude Code, Pi, Oh My Pi, and OpenCode.
If this project helps you or gives you some inspiration, feel free to star🌟 & fork.
❤️ Sponsor
Want to sponsor this project? See FUNDING.md or email davidyang042@gmail.com.
Click to collapse
Latest Update
2026-08-18 — Skill renamed: the included agent skill is now vision-skills (formerly vision-tools), so the name describes the capability rather than the underlying tools.
2026-08-13 — Native DeepSeek Harness support is now available. The new dsh-vision-toolkit linked package brings this toolkit into DSH Web and Headless profiles as a native Profile Bundle. It provides 10 structured visual tools for intent-aware image Q&A, grounding, detection, tracing, cropping, pixel diff, long-screenshot OCR, foreground extraction, dominant-color analysis, and HTML screenshots, while adding DSH Credentials, a managed isolated runtime, previewable Artifacts, Web Settings, and Agent-scoped progressive tool exposure.
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