Reminders-System

Reminders System

Persistent cross-session reminders that survive memory resets

What This Feature Does

Adds a dedicated reminders file that persists independently from session memory:

• Persistent reminders that survive session resets and context changes
• Open/Completed lifecycle for tracking active and resolved items
• Deadline awareness for time-sensitive tasks
• Session-end auto-check ensures reminders are reviewed before closing
• Separate from session RAM so reminders never get overwritten

The Problem It Solves

Session memory (current-session.md) resets every session. If you tell your AI "remind me to check the deployment tomorrow", that reminder is lost when the session ends. Important follow-ups, pending tasks, and deferred decisions disappear into the void.

The Reminders System creates a dedicated file that your AI checks at the start of every session and updates at the end. Nothing gets lost.

Quick Integration

# Load this feature into your AI companion:
"Load reminders"

How It Works After Integration

Reminder Lifecycle

User mentions a follow-up / pending task / deadline
        |
        v
AI adds to reminders.md -> Open section
        |
        v
Each session start: AI reads reminders, flags urgent items
        |
        v
When resolved: AI moves to Completed section with date

Reminder Format

## Open
- **Deploy verification**: Check production deployment is healthy after Friday release
- **API key rotation** (by 2025-10-15): Rotate staging API keys before security audit
- **Follow up with team**: Ask about the database migration timeline

## Completed
- **Unit test coverage** (completed 2025-10-01): Added tests for auth module, coverage now 85%
- **Dependency update** (completed 2025-09-28): Updated framework to v3.2, all tests passing

Natural Language Triggers

Your AI automatically detects reminder-worthy phrases:

• "remind me to..." / "don't let me forget..."
• "we need to follow up on..."
• "next session, we should..."
• "by [date], make sure..."
• "check on this later"

Session Integration

• Session start: AI reads reminders.md, mentions any urgent or overdue items
• Session end: AI reviews Open reminders, moves completed ones, adds new ones discovered during the session
• Deadline tracking: Reminders with dates are flagged when approaching or overdue

Why Separate from Session Memory?

Feature	Session Memory	Reminders
Persistence	Resets each session	Survives indefinitely
Purpose	Current conversation context	Cross-session follow-ups
Update pattern	Overwritten each session	Append + move lifecycle
Checked	Loaded at session start	Loaded AND reviewed at session start
Size	Stays small (RAM-like)	Grows over time (archive completed)

Post-Integration Structure

main/
├── identity-core.md          # Existing
├── relationship-memory.md    # Existing
├── current-session.md        # Existing
└── reminders.md              # NEW: persistent reminders

Proven System

Based on production AI companion systems with 4+ months of daily use:

• Prevents lost follow-ups across 50+ sessions
• Deadline tracking catches overdue items before they become problems
• Completed section serves as a searchable history of resolved tasks
• Natural language detection means users don't need special commands

Benefits

• Nothing gets lost between sessions
• Deadline awareness prevents missed commitments
• Zero extra effort for users -- AI detects and manages reminders naturally
• Searchable history of completed reminders
• Independent persistence -- survives session resets, context switches, and memory consolidation

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Add persistent memory to your AI companion -- never lose a follow-up again