# Memory by File

> Use this tool when you need to store and retrieve contextual information across conversations, especially in chatbots or personal assistants. It provides a simple interface for adding, searching, deleting, and listing memories in a text file, eliminating the need for complex database setups. Ideal for scenarios requiring lightweight, file-based memory storage, it enables AI systems to maintain persistent context without extensive infrastructure.

Canonical page: https://skillsregistry.net/skills/g0t4-memory-file  
JSON: https://api.skillsregistry.net/v1/skills/g0t4-memory-file

## Description

This MCP server for memory management, developed by an unnamed creator, provides a simple interface for AI assistants to store and retrieve contextual information in a text file. It integrates with the Model Context Protocol to offer operations for adding, searching, deleting, and listing memories. The server handles file I/O operations and implements basic text-based storage, allowing AI systems to maintain persistent context across conversations without complex database setups. By focusing on simplicity and ease of use, this implementation enables quick deployment for scenarios requiring lightweight, file-based memory storage. It is particularly useful for chatbots, personal assistants, or any application where an AI needs to recall information from previous interactions.

## 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/g0t4-memory-file)
- **Repository:** <https://github.com/g0t4/mcp-server-memory-file>

## 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": "g0t4-memory-file"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/g0t4-memory-file` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/g0t4-memory-file/pull`

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