memory

Name: memory
Availability: InStock
Author: ayo-ooo

Store and retrieve persistent memories as Markdown files with TOML frontmatter across sessions.

Updated Aug 23, 2026

Search Tags:#context #recall #agent #memory #persistence #session #memory-management

Ready to run

npx skills add https://github.com/ayo-ooo/ayo --skill memory-ayo-ooo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/ayo-ooo/ayo/tree/main/internal/builtin/skills/memory
Command: npx skills add https://github.com/ayo-ooo/ayo --skill memory-ayo-ooo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Store and retrieve persistent memories across sessions to maintain user context.

Core Features & Use Cases

Persistence of user preferences, project facts, and behavioral notes across conversations.
Automatic memory storage and retrieval to keep context alive between sessions.
Flexible memory lifecycle including categorization, search, and recall within prompts.

Quick Start

Store a memory item such as "Project deadline is Friday" to be recalled in future sessions.

Frequently Asked Questions about memory

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

FAQPage Schema

How do I maintain agent context and persistent memory across multiple sessions?▼

To store and retrieve persistent memories, save items like project facts or user preferences as Markdown files with TOML frontmatter. These memories are automatically injected into prompts during future sessions to keep context alive.

What is the best way to save user preferences and project facts for long-term recall?▼

The best way to save user preferences for long-term recall is to store them as persistent memories using Markdown files with TOML frontmatter. This approach categorizes and automatically recalls the saved context within future prompts.

How does automatic memory injection work for retrieving past session context?▼

Automatic memory injection works by retrieving stored Markdown files containing TOML frontmatter and inserting that context directly into your active prompt. This ensures past user preferences and project facts remain available without manual lookup.

Can I use Markdown and TOML frontmatter to manage persistent memory for an agent?▼

Yes, you can manage persistent agent memory by storing memories as Markdown files with TOML frontmatter. This format supports categorization, search, and automatic recall to maintain user context across multiple sessions.

Does persistent memory storage work for correcting agent behavior across sessions?▼

Yes, persistent memory storage works for correcting agent behavior by saving behavioral notes as memories. These corrections are stored as Markdown files and automatically injected into future prompts to adjust agent actions.