
Anionex/dsh-vision-toolkit
DSH Vision Toolkit
Intent-aware image Q&A, long-screenshot OCR, UI reconstruction, grounding, and pixel diff. Wires agent-vision-toolkit into native DSH tools.
Install
npx @deepseek-ai/dsh plugin --profile web add github:Anionex/dsh-vision-toolkitRestart `dsh web` after install. Bundle APIs can change during the developer preview.
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From the README
Excerpt from Anionex/dsh-vision-toolkit, cleaned of badges and images.
DSH Vision Toolkit
A more powerful vision toolkit—give text-only models in DeepSeek Harness eyes: image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks in one toolkit and Skill.
🚀 Paste an image and ask directly | Install with one command | Broad use cases
Highlights | Quick start | Toolbox | Configuration and limits | Troubleshooting | Community
🌐 English | 中文
🏆 This project is the first comprehensive vision-tool plugin in the DeepSeek Harness ecosystem: it was initiated before internal beta and built during the beta with reference to agent-vision-toolkit.
Original work: The system and division of responsibilities behind these visual tools, together with the
vision-skillsSkill, were personally created and continuously refined by the author through long-term real-world use and repeated iteration.
If this project helps you or gives you some inspiration, feel free to star 🌟 & fork.
Highlights
- Paste an image and ask directly. In DSH Web, pasting an image switches the text-only model to its
(Vision Toolkit)variant automatically — no manual path copying or model changes. Native thumbnails, session history, and workspace paths stay intact; Web can preview artifacts. - One command to install. After installation, configure a vision provider in Settings → Vision Toolkit and start using the tools.
- Not just a caption — the content that matters. The model does not produce a generic description; it extracts evidence around the current task, such as “Where is the error?” or “Where is the button?”.
- A battle-tested visual-task methodology. The bundled Skill tells the agent what to look at for different visual tasks, which tool to choose, how to proceed, and how to verify the result.
agent-vision-toolkit gives an agent more than image captions: it can read, locate, crop, trace, rebuild, and verify visual work. DSH Vision Toolkit is its native DeepSeek Harness integration, bringing that workflow into Web and Headless Profiles.
This project has two layers:
- Visual tools and a Skill: the agent learns when to inspect, ground, OCR, crop, trace, or compare pixels.
- Native DSH integration: those capabilities live inside Profiles, sessions, Settings, Artifacts, and the Web UI.
dsh plugin --profile web add @anionex/dsh-vision-toolkit
Upstream toolkit: Anionex/agent-vision-toolkit · Project website: agent-vision.anionex.me
❤️ Sponsor
Want to sponsor this project? See FUNDING.md or email [email protected].
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