# memu-mcp

> memu-mcp — ostrichhermit-memu-mcp. Use this tool when you need to implement persistent long-term memory across sessions for Claude Code, providing a seamless experience through the MemU 语义记忆系统's MCP interface. It solves the problem of data loss between sessions, enabling continuous learning and memory retention. The tool takes in code inputs and outputs stored memory data, ideal for use cases requiring cross-session data persistence.

Canonical page: https://skillsregistry.net/skills/ostrichhermit-memu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ostrichhermit-memu-mcp

## Description

MemU 语义记忆系统的 MCP 接口：为 Claude Code 提供跨会话长期记忆 | MCP server for the MemU memory system: persistent long-term memory for Claude Code

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OstrichHermit/memu-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": "ostrichhermit-memu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ostrichhermit-memu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ostrichhermit-memu-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