Virus Protocol System Overview Core Components

Virus Protocol Core

Central system that handles all user interactions Manages response generation with context awareness Calculates evolution scores for interactions Coordinates memory and context systems

Memory System

Dual-layer memory architecture:

Short-term Memory (STM): Recent conversations and context (24h retention) Long-term Memory (LTM): Important facts, patterns, and concepts

Automatic importance assessment for memory transfer Relevance-based memory retrieval

Context Manager

Maintains evolutionary context across multiple time windows:

24 hours (50 interactions) 1 week (100 interactions) 1 month (200 interactions)

Generates summaries, topics, and insights Updates automatically based on system evolution

Evolution Processing

Batch processes interactions for pattern recognition Updates system evolution state Influences response generation and context Maintains evolutionary trajectory

Data Flow

User sends message → System retrieves context and memories LLMs generates response using combined context Response and interaction stored in short-term memory Important information transferred to long-term memory Evolution score calculated and interaction queued Batch processing updates evolution state Context regularly updated based on new patterns

Storage

MongoDB: Persistent storage for interactions and evolution data Redis: Caching, queues, and temporary storage

Short-term memory Context summaries Evolution queue

AI Integration

Uses AI Chat Models for:

Response generation Evolution scoring Memory importance assessment Pattern analysis Context summarization

The system creates a continuously evolving AI entity that maintains conversation coherence while developing deeper understanding through context and memory management.