# Memoer (Persistent Memory Storage)

> Use this tool when you need to store and retrieve memories for AI assistants, enabling persistent memory across conversations. Memoer provides a standardized interface for creating and retrieving memories, with filtering options and automatic database setup. It solves the problem of maintaining contextual information and continuity in AI interactions, making it ideal for use cases where complex external storage configuration is undesirable.

Canonical page: https://skillsregistry.net/skills/geli2001-memoer  
JSON: https://api.skillsregistry.net/v1/skills/geli2001-memoer

## Description

Memoer-MCP is a server implementation that provides memory storage capabilities for AI assistants. It allows agents to create and retrieve memories through a standardized interface, storing content in a SQLite database with Prisma ORM. The server features tools for creating memories associated with specific apps/agents and retrieving memories with filtering options by app name, category, and result limits. Developed by Ge Li under MIT license, it includes automatic database setup and migration handling, making it particularly valuable for AI assistants that need persistent memory across conversations without requiring complex external storage configuration.

## Trust

- **Trust score (0–1):** 0.96
- **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/geli2001-memoer)
- **Repository:** <https://github.com/geli2001/memoer-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": "geli2001-memoer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/geli2001-memoer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/geli2001-memoer/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