remember

Codify user friction into actionable methodology notes under ops/methodology.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/adiman9/mnemos --skill remember-adiman9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/adiman9/mnemos/tree/main/core/skills/remember
Command: npx skills add https://github.com/adiman9/mnemos --skill remember-adiman9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Remember skill captures friction as actionable methodology notes, enabling a system to learn from corrections and improved workflows by codifying guidance that can be reused across sessions.

Core Features & Use Cases

  • Supports three capture modes: explicit, contextual, and session-mining to extract actionable guidance from user interactions.
  • Files notes into ops/methodology/ and maintains a living MOC to drive system behavior and learning cycles.
  • Works with /remember, /rethink, and context persistence to reduce repeated corrections and evolve the agent's playbook.

Quick Start

Run /remember with a clear friction description to capture a new methodology note.

Frequently Asked Questions about remember

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

FAQPage Schema
How do I save agent memory from user corrections to avoid repeating mistakes?▼

To save agent memory from user corrections, you can capture friction as actionable methodology notes. This process files guidance into ops/methodology/ and links it to a methodology MOC, enabling the system to learn and reuse corrections across sessions.

What is the best way to extract methodology notes from chat sessions?▼

Extracting methodology notes from chat sessions is best done using a session-mining mode. This approach identifies friction in user interactions and codifies them into actionable notes that guide future agent behavior and reduce repeated corrections.

Can I automatically build a methodology MOC from notes during my sessions?▼

Yes, you can automatically build and maintain a living methodology MOC from notes. The system files captured friction into ops/methodology/ and links them to the MOC to drive system behavior and learning cycles.

Does capturing context persistence require any specific dependencies or components?▼

Capturing context persistence requires no specific dependencies or components. The system verifies dependencies and enforces safety checks internally, producing a deployable metadata payload for discovery without external requirements.

When should I use explicit mode versus contextual mode for saving agent memory?▼

Use explicit mode when you run /remember with a clear friction description to capture agent memory directly. Use contextual mode to passively identify and codify friction from ongoing interactions without explicit commands.