Memory

Name: Memory
Availability: InStock
Author: AbhishekOjha

Store structured facts and preferences in MEMORY.md and log events to HISTORY.md.

3|1|Updated Mar 8, 2026

Search Tags:#context #recall #logging #memory #persistence #history

Ready to run

npx skills add https://github.com/Abhishekojha38/dobby.ai --skill memory-abhishekojha38

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Memory
Source: https://github.com/Abhishekojha38/dobby.ai/tree/main/skills/memory
Command: npx skills add https://github.com/Abhishekojha38/dobby.ai --skill memory-abhishekojha38

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that important information, user preferences, and project context are not lost between AI sessions, providing a consistent and informed experience.

Core Features & Use Cases

Persistent Memory: Stores facts, preferences, and project details in MEMORY.md.
Event Logging: Records a searchable history of actions and events in HISTORY.md.
Use Case: If a user mentions their preferred communication style or a critical project decision, this Skill ensures that information is saved and can be recalled accurately in future interactions.

Quick Start

Use the memory skill to store the fact that the user prefers concise answers.

Frequently Asked Questions about Memory

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

FAQPage Schema

How do I persist context and recall information across AI sessions?▼

To persist context and recall information across AI sessions, structured facts, user preferences, and project context are stored in MEMORY.md, enabling accurate retrieval in future interactions.

What is the best way to log AI agent events and search past history?▼

Logging AI agent events is handled by maintaining an append-only event log in HISTORY.md, which supports searching past events via shell commands or in-memory processing for efficient historical data retrieval.

How does persistent memory work for saving user preferences?▼

Persistent memory for saving user preferences works by storing structured facts and project details in MEMORY.md, ensuring critical decisions and communication styles are not lost between sessions.

Can I search historical event logs without loading the entire file?▼

Yes, searching historical event logs without loading the entire file is supported via shell commands or in-memory processing, allowing efficient retrieval of specific past events from HISTORY.md.

Do I need any external dependencies to maintain project history and context?▼

No external dependencies are needed to maintain project history and context; the system relies on internal file storage using MEMORY.md and HISTORY.md to manage persistence and event logging.