# mnemon

> mnemon — grivn-mnemon. Use this tool when you need to store and retrieve information for later use, enabling LLM agents to retain context and learn from past interactions. It solves problems of knowledge retention and recall, allowing agents to provide more accurate and informed responses. The mnemon CLI takes in text-based inputs and outputs stored memories, ideal for use cases where persistent memory is crucial, such as conversational dialogue and task-oriented interactions.

Canonical page: https://skillsregistry.net/skills/grivn-mnemon  
JSON: https://api.skillsregistry.net/v1/skills/grivn-mnemon

## Description

Persistent memory CLI for LLM agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/grivn-mnemon)

## 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": "grivn-mnemon"
    }
  }
}
```

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