# ai-memory-mcp

> Use this tool when you need to retain conversation context across sessions in AI assistants, solving problems of information loss and enabling personalized interactions. It takes in conversation data as input and outputs stored summaries, allowing for efficient search and retrieval via the Model Context Protocol. Ideal for use cases requiring persistent memory, such as customer support and virtual assistants.

Canonical page: https://skillsregistry.net/skills/zhanpu89-ai-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhanpu89-ai-memory-mcp

## Description

Provides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z054xvrux2)
- **Repository:** <https://github.com/zhanpu89/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": "zhanpu89-ai-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhanpu89-ai-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhanpu89-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