# localmem-mcp-zh

> localmem-mcp-zh — lvyuan1688-localmem-mcp-zh. Use this tool when you need to store, search, and recall memories in a fully offline environment, specifically optimized for Chinese language support. It solves problems related to data privacy and offline access by eliminating the need for API calls, allowing for local semantic searching and memory recall. Ideal for use cases requiring autonomous, self-contained memory management with SQLite and local embeddings.

Canonical page: https://skillsregistry.net/skills/lvyuan1688-localmem-mcp-zh  
JSON: https://api.skillsregistry.net/v1/skills/lvyuan1688-localmem-mcp-zh

## Description

A fully local, offline Chinese-optimized MCP memory server using SQLite and local embeddings, enabling MCP clients to store, semantically search, recall, and count memories without any API calls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ce7vhunuue)
- **Repository:** <https://github.com/lvyuan1688/localmem-mcp-zh>

## 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": "lvyuan1688-localmem-mcp-zh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lvyuan1688-localmem-mcp-zh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lvyuan1688-localmem-mcp-zh/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