# ai-memory-mcp

> ai-memory-mcp — sscctv-ai-memory-mcp. Use this tool when you need to enhance AI coding assistants with persistent memory, enabling them to recall project context and learn from experiences across sessions. It solves problems of knowledge retention, context switching, and data security, providing a secure interface for inputting and retrieving personal data, habits, and experiences. Ideal for use in applications requiring intelligent memory and governance, such as AI-powered development environments and personal assistants.

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

## Description

MCP server providing permanent, intelligent memory for AI coding assistants with retrieval, Hebbian learning, and governance, plus personal memory modules for accounts, habits, experiences, knowledge, and lifestyle. Enables AI assistants to recall project context across sessions and manage personal data securely.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wgidyms00j)
- **Repository:** <https://github.com/sscctv/mcp-memory-suite>

## 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": "sscctv-ai-memory-mcp"
    }
  }
}
```

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