# MemoryPatch

> MemoryPatch — applelamps-memorypatch. Use this tool when you need to manage and retrieve large amounts of memory data efficiently, with features like evidence-backed mutations and versioning. MemoryPatch solves problems related to data storage, search, and retrieval for AI agents, providing a robust interface for inputs and outputs. It is ideal for use cases requiring reliable and scalable memory management, with SQLite and FTS5 enabling fast and accurate data storage and search.

Canonical page: https://skillsregistry.net/skills/applelamps-memorypatch  
JSON: https://api.skillsregistry.net/v1/skills/applelamps-memorypatch

## Description

A local MCP memory server for AI agents to manage memory with evidence-backed, versioned mutations, using SQLite with FTS5 for storage and search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zu6np6nxhc)
- **Repository:** <https://github.com/AppleLamps/MemoryPatch>

## 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": "applelamps-memorypatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/applelamps-memorypatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/applelamps-memorypatch/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