# 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.