# al-buddy-memory

> al-buddy-memory — flytomoon-al-buddy-memory. Use this tool when you need to manage and retain factual information for AI agents, ensuring that invalidated facts are preserved and raw text is treated as truth. It solves problems related to data governance and model-agnostic memory, providing a single documented export format for seamless integration. Ideal for use cases requiring transparent and auditable data storage, with git capabilities for version control and tracking.

Canonical page: https://skillsregistry.net/skills/flytomoon-al-buddy-memory  
JSON: https://api.skillsregistry.net/v1/skills/flytomoon-al-buddy-memory

## Description

Portable, governed, model-agnostic memory for AI agents: facts invalidated never deleted, raw text as truth, one documented export format.

## Trust

- **Trust score (0–1):** 0.80
- **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/flytomoon/al-buddy-memory)

## 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": "flytomoon-al-buddy-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flytomoon-al-buddy-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flytomoon-al-buddy-memory/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