# io.github.alphaonedev/ai-memory

> Use this tool when you need to store and retrieve information for AI models without incurring token costs until the data is recalled. It provides persistent memory for any AI, allowing for efficient data storage and retrieval. Ideal for use cases where data needs to be retained across conversations or sessions, with a cost-effective interface for inputting and outputting stored information.

Canonical page: https://skillsregistry.net/skills/io-github-alphaonedev-ai-memory  
JSON: https://api.skillsregistry.net/v1/skills/io-github-alphaonedev-ai-memory

## Description

Persistent memory for any AI — zero token cost until recall

## Trust

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

## Facts

- **Version:** 0.5.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

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

## 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": "io-github-alphaonedev-ai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-alphaonedev-ai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-alphaonedev-ai-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