# SQLite Memory

> Use this tool when you need to store and retrieve structured data, conversation history, and user preferences across sessions. It provides simple key-value operations for creating, reading, updating, listing, and deleting memory entries with automatic timestamping. Ideal for applications requiring persistent memory storage, such as chatbots and virtual assistants, where data needs to be retained and accessed efficiently.

Canonical page: https://skillsregistry.net/skills/bharathjinka09-sqlite-memory  
JSON: https://api.skillsregistry.net/v1/skills/bharathjinka09-sqlite-memory

## Description

SQLite Memory provides persistent memory storage using SQLite databases. It enables storing and retrieving structured data, conversation history, and user preferences across sessions through simple key-value operations. The server supports creating, reading, updating, listing, and deleting memory entries with automatic timestamping, built on FastMCP with a single-table schema for straightforward data persistence.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bharathjinka09-sqlite-memory)
- **Repository:** <https://github.com/bharathjinka09/ai-mcp-sql>

## 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": "bharathjinka09-sqlite-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bharathjinka09-sqlite-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bharathjinka09-sqlite-memory/pull`

---
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
