# mcp-memory-sqlite

> mcp-memory-sqlite — pavex-mcp-memory-sqlite. Use this tool when you need to implement a lightweight, self-contained memory solution for AI agents like Claude, providing persistent and searchable storage with features like full-text search and autonomous memory optimization. It solves problems of data fragmentation and retrieval, offering importance-based retrieval and defragmentation through "dreaming" capabilities. Ideal for use cases requiring local, vendor-agnostic data storage with interfaces for inputting and outputting memory data via SQLite.

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

## Description

Lightweight MCP server for persistent, searchable Claude memory. Features FTS5, importance-based retrieval, and autonomous "dreaming" for memory defragmentation. No cloud, no vendor lock-in.

## Trust

- **Trust score (0–1):** 0.89
- **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:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/pavex/mcp-memory-sqlite)

## 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": "pavex-mcp-memory-sqlite"
    }
  }
}
```

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