# LibSQL Memory

> Use this tool when you need to store and retrieve information for AI models, particularly for maintaining context across conversations or building knowledge bases. It provides a database interface for managing entities and relations in a knowledge graph structure, with support for local or remote databases. Ideal for creating persistent memory systems for AI assistants, it enables long-term information retention without requiring complex database management.

Canonical page: https://skillsregistry.net/skills/spences10-libsql-memory  
JSON: https://api.skillsregistry.net/v1/skills/spences10-libsql-memory

## Description

This LibSQL-based persistent memory tool for MCP, developed by Scott Spence, provides a database interface for AI models to store and retrieve information. Built with TypeScript and leveraging the LibSQL client, it offers functionality for managing entities and relations in a knowledge graph structure. The implementation focuses on providing a robust, SQL-based storage solution that can be used locally or with remote databases. It's particularly useful for maintaining context across conversations, building knowledge bases, or creating persistent memory systems for AI assistants, enabling long-term information retention without requiring complex database management.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spences10-libsql-memory)
- **Repository:** <https://github.com/spences10/mcp-memory-libsql>

## 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": "spences10-libsql-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spences10-libsql-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spences10-libsql-memory/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