# shared-memory-mcp

> shared-memory-mcp — zhaopq123-shared-memory-mcp. Use this tool when you need to manage shared memories for AI agents, storing each memory as a Markdown file with version control via git and identity isolation through Bearer tokens. It solves problems of knowledge sharing and collaboration among AI agents, providing a centralized memory repository. Ideal for use cases requiring secure and version-controlled memory management.

Canonical page: https://skillsregistry.net/skills/zhaopq123-shared-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zhaopq123-shared-memory-mcp

## Description

给 AI Agent 的共享记忆服务：一条记忆一个 Markdown 文件，git 做版本，Bearer token 做身份隔离；库=权限边界，工作空间=项目分类。9 个工具（+7 别名）、571 个测试，跨会话跨机器读写检索。

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-29

## Source

- **Source listing:** [GitHub](https://github.com/zhaopq123/shared-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": "zhaopq123-shared-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhaopq123-shared-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhaopq123-shared-memory-mcp/pull`

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