# dgui-hypermem

> dgui-hypermem — ctaxnagomi-dgui-hypermem. Use this tool when you need to deploy a self-hosted hybrid memory server with advanced reasoning and training capabilities. It solves problems related to memory management, reasoning, and machine learning model training, providing a scalable and cloud-based solution. The tool accepts git inputs and outputs trained models and reasoning results through a JEV reasoning layer interface.

Canonical page: https://skillsregistry.net/skills/ctaxnagomi-dgui-hypermem  
JSON: https://api.skillsregistry.net/v1/skills/ctaxnagomi-dgui-hypermem

## Description

DGUI-HyperMem (DeckerGUI HyperMemory) - self-hosted hybrid memory MCP server on Cloudflare Workers with a JEV (Choice/Noul/Score) reasoning layer and a HuggingFace training-brain flywheel.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ctaxnagomi/dgui-hypermem)

## 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": "ctaxnagomi-dgui-hypermem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ctaxnagomi-dgui-hypermem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ctaxnagomi-dgui-hypermem/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