# korgi-vision-oss

> korgi-vision-oss — c0de4un-korgi-vision-oss. Use this tool when you need to analyze images at scale using local Vision LLMs, solving problems such as distributed image processing and object detection. It takes image inputs and outputs analyzed results, providing a self-hosted platform for secure and efficient image analysis. Ideal for use cases requiring local data processing and control, such as in research or enterprise environments.

Canonical page: https://skillsregistry.net/skills/c0de4un-korgi-vision-oss  
JSON: https://api.skillsregistry.net/v1/skills/c0de4un-korgi-vision-oss

## Description

Open-source, self-hosted platform for distributed image analysis using local Vision LLMs (Moondream 2 / Qwen 2.5). Built with Rust, Axum, and Vue 3.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/c0de4un/korgi-vision-oss)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "c0de4un-korgi-vision-oss"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/c0de4un-korgi-vision-oss` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/c0de4un-korgi-vision-oss/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt