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memories

Manage Obsidian-based memory notes with index-first property searches.

Updated Feb 23, 2026
Search Tags:#knowledge management#ai agent#retrieval#memory#obsidian#notes
One-click install
npx skills add https://github.com/eannnnnn/taptik-labs --skill memories-eannnnnn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memories
Source: https://github.com/eannnnnn/taptik-labs/tree/main/skills/memories
Command: npx skills add https://github.com/eannnnnn/taptik-labs --skill memories-eannnnnn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured way to manage and retrieve information stored within an Obsidian vault, acting as a persistent memory for an AI agent.

Core Features & Use Cases

  • Index-First Search: Prioritizes searching by properties like project, status, and tags before resorting to broader searches.
  • Structured Note Creation: Uses a defined template for creating new memory notes, ensuring consistency.
  • Use Case: An agent needs to recall past decisions on a specific project. It uses the memories skill to search for notes tagged with that project and a 'valid' status, then reads the most relevant note to inform its current action.

Quick Start

Use the memories skill to search for notes related to the 'taptik' project.

Frequently Asked Questions about memories

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

FAQPage Schema
How do I set up persistent memory for an AI agent using Obsidian?▼

Persistent memory for an AI agent is established by using an Obsidian vault as a storage repository. The system applies a defined template for structured note creation to ensure consistent data management.

Does this memory system support searching by project and tags instead of full-text?▼

Yes, the retrieval system uses an index-first search flow that prioritizes property-based queries. You can filter memory notes by specific properties like project, status, and tags before resorting to broader searches.

How can an AI agent recall past decisions for a specific project?▼

An AI agent recalls past decisions by searching the memory system for notes tagged with the target project and a valid status. It then reads the most relevant retrieved note to inform its current action.

What is the best way to structure notes for AI knowledge management in Obsidian?▼

The best way to structure notes for AI knowledge management is by using a defined template for note creation. This enforces consistency across the Obsidian vault, enabling efficient storage and reliable property-based retrieval.

Does the agent memory system work without external dependencies?▼

Yes, the agent memory system operates without external dependencies, relying entirely on the local Obsidian vault structure. It manages structured data directly through scripts and references within the environment.

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