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companion-memory-persistence

Load identity and continuity data across NESTeq, file-based, and database-backed memory systems.

6|Updated Mar 16, 2026
Search Tags:#templates#memory#persistence#continuity#session-management#adaptation#ai-companions
One-click install
npx skills add https://github.com/maverick-mama/companion-memory-persistence --skill companion-memory-persistence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: companion-memory-persistence
Source: https://github.com/maverick-mama/companion-memory-persistence/tree/main
Command: npx skills add https://github.com/maverick-mama/companion-memory-persistence --skill companion-memory-persistence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-session continuity for AI companions is often lost when memory is not persisted. This skill ensures your AI arrives grounded, lives present, and leaves breadcrumbs for the next instance, reducing the gap between sessions.

Core Features & Use Cases

  • Load identity and continuity data at session start across multiple memory backends (NESTeq, file-based, database-backed).
  • Write important moments in real time and generate session summaries to bridge the next instance.
  • Provide templates and adaptation guidance to tailor memory persistence to your platform.

Quick Start

Load this skill at the start of every session and adapt the memory integration to your platform.

Frequently Asked Questions about companion-memory-persistence

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

FAQPage Schema
How do I persist AI companion memory across different sessions?▼

Cross-session memory persistence for AI companions is automated by loading identity and continuity data at the start of each session. This ensures your AI arrives grounded and writes important moments in real time.

What is the best way to manage session continuity for AI companions?▼

Session continuity is managed through ARRIVE, LIVE, and LEAVE phases that guide greeting, real-time writes, and end-of-session summaries. This provides continuous breadcrumbs for the next instance.

Does cross-session memory persistence work with file-based and database backends?▼

Yes, cross-session memory persistence works across NESTeq, file-based, and database-backed memory systems. It provides adaptation guidance and templates to tailor integration to your specific platform.

How do I structure AI companion memory data using YAML frontmatter?▼

AI companion memory data requires YAML frontmatter conforming to name and description fields. This standard format enables the system to properly load identity and continuity data at session start.

Why does my AI companion lose its identity between sessions?▼

AI companions lose identity between sessions when memory is not persisted. Loading continuity data at the start of each session bridges the gap and reduces the memory loss problem.

Can I use templates to adapt memory persistence for multiple architectures?▼

Yes, templates and adaptation guidance are provided to tailor memory persistence across multiple architectures. These templates support integration with NESTeq, file-based, and database-backed systems.

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