# local-memory-mcp

> local-memory-mcp — studiomeyer-io-local-memory-mcp. Use this tool when you need to store and manage local data for Claude, Cursor, and Codex models without relying on cloud services or API keys. It provides a self-contained solution with SQLite, FTS5, and Knowledge Graph capabilities, allowing for efficient data retrieval and management. Ideal for development and testing environments where data privacy and offline access are essential.

Canonical page: https://skillsregistry.net/skills/studiomeyer-io-local-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/studiomeyer-io-local-memory-mcp

## Description

Persistent local memory for Claude, Cursor & Codex. 21 MCP tools, hybrid retrieval (BM25 + vector RRF), bi-temporal queries, contradiction detection. SQLite + Knowledge Graph. No cloud, no API keys. npx @studiomeyer/local-memory-mcp

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/studiomeyer-io/local-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": "studiomeyer-io-local-memory-mcp"
    }
  }
}
```

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