sase_memory_read

Retrieve canonical long-term memory notes from SASE memory stores.

5|Updated Dec 6, 2021
One-click install
npx skills add https://github.com/bbugyi200/dotfiles --skill sase-memory-read
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sase_memory_read
Source: https://github.com/bbugyi200/dotfiles/tree/main/home/dot_codex/skills/sase_memory_read
Command: npx skills add https://github.com/bbugyi200/dotfiles --skill sase-memory-read

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the difficulty of manually navigating and retrieving specific context from long-term memory stores, ensuring that AI agents can reliably access project-specific knowledge.

Core Features & Use Cases

  • Canonical Memory Access: Provides a standardized interface to read memory notes while automatically checking both project and home memory locations.
  • Contextual Hierarchy: Automatically resolves and lists nested child notes, providing a complete view of related information.
  • Use Case: When an agent needs to reference established project standards or historical performance data before executing a task, this skill ensures the correct, up-to-date information is retrieved.

Quick Start

Use the sase memory read skill to retrieve the contents of the memory note named project_guidelines.md with a clear justification for the request.

Frequently Asked Questions about sase_memory_read

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

FAQPage Schema
How do I retrieve project-specific context from long-term memory stores?

You retrieve project-specific context by using a standardized interface to access canonical long-term memory notes. This approach automatically checks both project and home memory locations to inform agent decision-making without direct file system manipulation.

What is the best way to access hierarchical memory structures for documentation?

The best way to access hierarchical memory structures is by querying a canonical memory store that automatically resolves and lists nested child notes. This method provides a complete contextual view of related project documentation and historical notes.

Can I retrieve internal knowledge bases without direct file system manipulation?

Yes, you can retrieve internal knowledge bases without direct file system manipulation by using structured, reason-based access to memory stores. This provides a standardized interface to read memory notes and retrieve project-specific knowledge safely.

How do I ensure my AI agent gets up-to-date information from project memory?

You ensure your AI agent gets up-to-date information by retrieving canonical long-term memory context before executing a task. This requires providing a clear justification for the request to fetch the correct project standards or historical data.

Does SASE memory access work with nested project notes?

Yes, SASE memory access works with nested project notes by automatically resolving and listing child notes within the memory hierarchy. This contextual hierarchy feature ensures that all related information is retrieved together.