# mnemo

> Use this tool when you need to retain knowledge and decisions across coding sessions, enabling AI agents to learn from past experiences and avoid repeated mistakes. Mnemo solves problems of knowledge loss and duplicated efforts by providing a persistent memory layer that stores decisions, bugs, and rules. It accepts inputs through three core verbs (recall, remember, search) and outputs relevant information to inform coding decisions.

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

## Description

A persistent, local memory layer for AI coding agents that remembers decisions, bugs, and rules across sessions with three core MCP verbs (recall, remember, search).

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b93u7rajhy)
- **Repository:** <https://github.com/arttttt/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": "arttttt-mnemo"
    }
  }
}
```

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