# Mnemosyne

> Mnemosyne — m4f-s-mnemosyne. Use this tool when you need to enhance AI agents with persistent memory and advanced search capabilities. Mnemosyne solves problems related to knowledge retention, retrieval, and protection, enabling use cases such as semantic search and reminders. It accepts knowledge graphs as input and outputs relevant information, making it ideal for applications requiring robust memory management and data protection.

Canonical page: https://skillsregistry.net/skills/m4f-s-mnemosyne  
JSON: https://api.skillsregistry.net/v1/skills/m4f-s-mnemosyne

## Description

Provides persistent, graph-based memory for AI agents via MCP, enabling semantic search, wikilink traversal, reminders, and injection protection.

## Trust

- **Trust score (0–1):** 0.28
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uyc31djz80)
- **Repository:** <https://github.com/M4F-S/mnemosyne>

## 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": "m4f-s-mnemosyne"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m4f-s-mnemosyne` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m4f-s-mnemosyne/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