| name | Give text-only agents vision workflows with Agent Vision Toolkit |
| slug | give-text-only-agents-vision-workflows-with-agent-vision-toolkit |
| description | Install Agent Vision Toolkit so shell-capable coding agents can inspect screenshots, run OCR, locate UI elements, restore interfaces, and operate GUIs through repeatable local vision playbooks. |
| github_stars | 335 |
| verification | security_reviewed |
| source | https://github.com/Anionex/agent-vision-toolkit |
| author | Anionex |
| publisher_type | independent |
| category | Image & Creative Automation |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"Anionex/agent-vision-toolkit","github_stars":335} |
Give text-only agents vision workflows with Agent Vision Toolkit
Install Agent Vision Toolkit so shell-capable coding agents can inspect screenshots, run OCR, locate UI elements, restore interfaces, and operate GUIs through repeatable local vision playbooks.
Prerequisites
Python 3.11+, shell access, an OpenAI-compatible vision API for model-backed image tools, optional Pillow/numpy/vtracer for advanced local operations
Installation
Install or set up from the source-backed instructions:
Configure VISION_API_KEY, VISION_BASE_URL, and VISION_MODEL in ~/.config/agent-vision-toolkit/env, then restrict that file to the current user.
git clone https://github.com/Anionex/agent-vision-toolkit.git
export PATH="$PWD/agent-vision-toolkit/bin:$PATH"
Copy agent-vision-toolkit/skills/vision-tools/ into your agent skills directory and restart the agent. Review the upstream AGENT_INSTALL.md only when adding the optional proxy or native integration for your runtime.
Documentation
Source
