# Memento

> Use this tool when you need to retain and retrieve information from previous conversations, enabling seamless memory recall and full session history search. Memento solves the problem of knowledge loss between interactions, allowing for more accurate and context-aware responses. It accepts conversation transcripts as input and provides searchable session histories as output, ideal for use cases requiring persistent memory and context retention.

Canonical page: https://skillsregistry.net/skills/diego-ninja-memento  
JSON: https://api.skillsregistry.net/v1/skills/diego-ninja-memento

## Description

Persistent memory system for LLMs with lossless transcript management, enabling memory recall and full session history search across all conversations.

## Trust

- **Trust score (0–1):** 0.68
- **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/tx9pe3n7j2)
- **Repository:** <https://github.com/diego-ninja/memento>

## 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": "diego-ninja-memento"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/diego-ninja-memento` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/diego-ninja-memento/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