# Magnemo

> Magnemo — ai-magnemo-magnemo. Use this tool when you need to manage governed memory for AI agents, enabling them to store and retrieve data locally without network calls. Magnemo solves problems related to data persistence and auditing by providing a memory system with receipts, ensuring data integrity and transparency. It accepts input data and stores it in plain local files, outputting receipts for verification and tracking purposes.

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

## Description

Governed memory for AI agents. Memory with receipts. Local, plain files, zero network calls.

## Trust

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

## Facts

- **Version:** 0.6.4.post1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.magnemo%2Fmagnemo)
- **Repository:** <https://github.com/magnemo-ai/magnemo>

## 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-magnemo-magnemo"
    }
  }
}
```

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