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remember

Records dated, agent-tagged notes with thread URLs for future retrieval.

5|Updated Mar 10, 2026
Search Tags:#context#retrieval#memory#notes#grep#agent-memory#remembering
One-click install
npx skills add https://github.com/humblemuzzu/ghosttyyy --skill remember-humblemuzzu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/humblemuzzu/ghosttyyy/tree/main/pi-setup/config-skills/remember
Command: npx skills add https://github.com/humblemuzzu/ghosttyyy --skill remember-humblemuzzu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Recording memories helps preserve context, lessons, and decisions across sessions, reducing repetition and cognitive load when starting new conversations or revisiting topics.

Core Features & Use Cases

  • Preserve insights, gotchas, and decisions worth sharing for future reference.
  • Organize memories with a consistent, date-prefixed naming scheme and agent attribution for easy retrieval.
  • Retrieve relevant context quickly using simple grep-like commands to search the memory store.

Quick Start

Create a memory entry detailing a recent insight and save it under the configured MEMORY_ROOT.

Frequently Asked Questions about remember

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

FAQPage Schema
How do I preserve context and decisions across different agent sessions?▼

To preserve agent memory across sessions, record insights using date-prefixed filenames and a source__agent tag. This structure enables reliable retrieval, reducing repetition and cognitive load when starting new conversations.

How do I retrieve specific notes from my agent memory store?▼

Retrieve specific notes from your agent memory store using simple grep-like commands. This search mechanism queries your recorded memories, allowing you to quickly find relevant context, gotchas, and decisions during future sessions.

Do I need a specific file naming format to record agent memories?▼

Yes, recording agent memories requires date-prefixed filenames with a source__agent tag and a frontmatter thread URL. This structured naming scheme enables reliable retrieval and organizes memories for easy access across sessions.

What is the best way to organize insights and gotchas for future AI reference?▼

The best way to organize insights for AI reference is saving them as memory entries under a configured MEMORY_ROOT. Using consistent date-prefixed naming and agent attribution ensures context is preserved and easily retrievable later.

Can I use grep to search my agent memory store?▼

Yes, you can use grep-like commands to search your agent memory store. This allows you to quickly retrieve relevant context by querying the date-prefixed memory entries saved under your configured MEMORY_ROOT directory.

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