# Mono Memory

> Use this tool when you need to retain knowledge and context across multiple AI coding assistant sessions and team members. Mono Memory solves the problem of lost information and duplicated efforts by providing a shared, persistent long-term memory that stores data in a SQLite database with features like tagging, search, and summary generation. It is ideal for teams using multiple AI-powered editors who require a unified knowledge base that persists beyond individual chat sessions.

Canonical page: https://skillsregistry.net/skills/potato-castle-mono-memory  
JSON: https://api.skillsregistry.net/v1/skills/potato-castle-mono-memory

## Description

Provides persistent long-term memory for AI coding assistants across sessions and team members. Stores memories in a SQLite database with tagging, keyword search, timeline views, and summary generation. Designed for teams using multiple AI-powered editors who need shared knowledge that persists beyond individual chat sessions.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

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

## 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": "potato-castle-mono-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/potato-castle-mono-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/potato-castle-mono-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