# AI Memory

> Use this tool when you need to store and retrieve information persistently for AI agents, solving problems of data retention and recall in applications requiring flexible memory tiers and configurable privacy settings. It takes in data and privacy parameters as inputs and provides retrieved information as output, with a Docker/OCI image for easy deployment. Ideal for use cases where AI agents require reliable, private, and scalable memory storage.

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

## Description

AI Memory provides persistent memory storage for AI agents using a SQLite backend, with multiple retrieval tiers: keyword, semantic, smart, and autonomous. The server is distributed as a Docker/OCI image and supports configurable privacy epsilon parameters for differential privacy.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-16

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alphaonedev-ai-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": "alphaonedev-ai-memory"
    }
  }
}
```

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

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