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muninn

Store, recall, and organize contextual information across AI assistant sessions.

1|Updated May 8, 2026
Search Tags:#context#recall#search#memory#organization#decision-support
One-click install
npx skills add https://github.com/oaustegard/muninn-utilities --skill muninn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: muninn
Source: https://github.com/oaustegard/muninn-utilities/tree/main/remembering
Command: npx skills add https://github.com/oaustegard/muninn-utilities --skill muninn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Muninn aggregates and maintains digital memories, enabling contextual reasoning and decision-making over extended interactions.

Core Features & Use Cases

  • Facilitates structured recall, background knowledge management, and context building for AI assistants.
  • Supports storing, querying, and organizing diverse memory types such as decisions, observations, and research findings.
  • Use case: A researcher documents insights and retrieves related studies seamlessly during complex analysis sessions.

Quick Start

Ask Muninn to remember key facts or retrieve relevant memories to inform your ongoing work.

Frequently Asked Questions about muninn

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

FAQPage Schema
How do I enable persistent memory for an AI assistant across multiple sessions?▼

You can manage persistent memory by asking the assistant to store key facts, retrieve relevant memories, and organize contextual information. This enables structured recall and background knowledge management across different sessions.

What is contextual recall and how does it support long-term project tracking?▼

Contextual recall involves querying stored memories like decisions and observations to inform ongoing work. It supports long-term project tracking by maintaining structured data across sessions for continuous analysis.

Can I use a memory organization system for complex research and decision support?▼

Yes, you can store, query, and organize diverse memory types such as research findings and observations to support decision-making. This allows researchers to document insights and retrieve related studies during complex analysis.

What's the best way to store and retrieve research findings for AI-assisted analysis?▼

The best way is to use a flexible schema with advanced search capabilities to systematically store and organize findings. This allows you to query specific memories and retrieve related studies to inform your ongoing analysis.

Does persistent memory management work without external dependencies?▼

Yes, persistent memory management operates without external dependencies. It utilizes internal scripts, references, and assets to maintain structured data and execute advanced search and reasoning capabilities for complex workflows.

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