remember

Store user decisions and preferences across sessions using the mcp__mira__memory tool.

8|2|Updated Jul 18, 2025
One-click install
npx skills add https://github.com/ConaryLabs/Mira --skill remember-conarylabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/ConaryLabs/Mira/tree/main/plugin/skills/remember
Command: npx skills add https://github.com/ConaryLabs/Mira --skill remember-conarylabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill stores memories to persist decisions, preferences, and contextual knowledge across user sessions.

Core Features & Use Cases

  • Persist user decisions and preferences across conversations.
  • Tag memories with categories and types for organized recall.
  • Retrieve and reference stored memories to maintain continuity in multi-session work.

Quick Start

To remember information, provide the content to store and optional flags for category and type. For example, /mira:remember Remember my preferred API endpoint --category api --type context

Frequently Asked Questions about remember

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist context and user decisions across multiple sessions?

To persist context across multiple sessions, you can store decisions and preferences using the memory tool by providing content with optional category and type tags, which returns a memory ID for later recall.

How do I save preferences so an AI assistant remembers my choices?

You save preferences by submitting the contextual note content to the memory tool, optionally tagging it with a category and type, which preserves your choices for future continuity.

Can I tag stored memories with categories and types for organized recall?

Yes, you can tag stored memories with specific categories and types using the optional flags, allowing you to organize and filter contextual knowledge for efficient retrieval later.

What is the best way to maintain continuity when working on multi-session projects?

The best way to maintain continuity is by storing key decisions and contextual notes in persistent memory, which captures your preferences and returns an ID to reference in subsequent conversations.

Do I need any specific dependencies to store memories and preserve session context?

No specific external dependencies are required to preserve session context, as the skill operates using the integrated memory tool to capture and retrieve your stored decisions and preferences.