# GroundMemory

> GroundMemory — huss-mo-groundmemory. Use this tool when you need to maintain persistent identity and memory across multiple AI tools, enabling seamless continuity and context retention. It solves problems of data fragmentation and loss, providing a unified memory framework for AI applications. Ideal for production-ready environments, GroundMemory accepts git inputs and outputs unified memory states, making it a versatile solution for local-first AI development.

Canonical page: https://skillsregistry.net/skills/huss-mo-groundmemory  
JSON: https://api.skillsregistry.net/v1/skills/huss-mo-groundmemory

## Description

Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/huss-mo/GroundMemory)

## 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": "huss-mo-groundmemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huss-mo-groundmemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huss-mo-groundmemory/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