# mnemo

> mnemo — cniackz-mnemo. Use this tool when you need to provide AI agents with portable memory storage and management capabilities. It solves problems related to knowledge retention and recall by allowing agents to store and retrieve information via simple Markdown files. The mnemo tool accepts plain text inputs and outputs memories through commands like recall, remember, and list, making it ideal for use cases requiring dynamic memory management.

Canonical page: https://skillsregistry.net/skills/cniackz-mnemo  
JSON: https://api.skillsregistry.net/v1/skills/cniackz-mnemo

## Description

Provides portable memory for AI agents using plain Markdown files. Enables storing, recalling, and managing memories via MCP tools like recall, remember, forget, list, and get.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tgj3nq1hns)
- **Repository:** <https://github.com/cniackz/mnemo>

## 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": "cniackz-mnemo"
    }
  }
}
```

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

---
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