# SAM

> Use this tool when you need to streamline AI memory management across multiple platforms, automating the saving and retrieval of information to reduce manual intervention and increase efficiency. SAM solves problems of data fragmentation and manual data transfer, providing seamless integration and auto-triggered ML workflows. It takes in diverse data inputs and outputs optimized information retrieval, ideal for use in complex AI ecosystems requiring automated memory management.

Canonical page: https://skillsregistry.net/skills/pigrieco-mcp-memory-server  
JSON: https://api.skillsregistry.net/v1/skills/pigrieco-mcp-memory-server

## Description

Intelligent AI memory management system with ML auto-triggers that automatically saves and retrieves information across AI platforms without manual intervention.

## Trust

- **Trust score (0–1):** 0.04
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ndavuwae21)
- **Repository:** <https://github.com/PiGrieco/mcp-memory-server>

## 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": "pigrieco-mcp-memory-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pigrieco-mcp-memory-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pigrieco-mcp-memory-server/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