# ai.zimac/mnema

> ai.zimac/mnema — ai-zimac-mnema. 2\q at\ \ \\4 3 \(\(\ \\color \.452\1006 a \ and \ \ \ \ \ \ \ \31 \ \ \ \8 the \ \(\(\2,4 \ \ \1 \ ( \ \ \2\2 ( \ and\ \ \ \ \ \(\0 \ \4\ \ \\ \ \\ \2(\ \ (\ \ \ \ a\ a \ \3. \42 to, \ \ \201(\ \ \\ \ \2011(\, to(\4\\ \ to\ \ \ \ \43 \ \ \2 \ \(\2\ \ \ \ \ \2 A \\ \3 \ \ \\5\ \ \ .(\ \. \ \ \2\ \\ \\ $\ \ \0\(\224 \ \ \121

Canonical page: https://skillsregistry.net/skills/ai-zimac-mnema  
JSON: https://api.skillsregistry.net/v1/skills/ai-zimac-mnema

## Description

Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.zimac%2Fmnema)
- **Repository:** <https://github.com/Zimac-AI/mnema>

## 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": "ai-zimac-mnema"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-zimac-mnema` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-zimac-mnema/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