Virus Protocol System Overview Core Components Cont.

$Virus implements an AI-driven interaction and memory system within a "Virus Protocol" platform.

Key Components and Features

1. Interaction Handling:

   • Handles user interactions (handleInteraction) by gathering context, generating responses, calculating evolution scores, and updating memory.

   • Processes steps are broken into stages (e.g., context gathering, response generation) with progress updates for real-time feedback.

2. Context Management:

   • Gathers short-term and long-term memory, combining them with the context to generate coherent and informed responses.

   • Uses Redis to cache and manage summaries of interactions, ensuring up-to-date contextual understanding.

3. Memory System:

   • Short-Term Memory (STM):

     • Maintains a sliding window of recent interactions.

     • Triggers long-term storage for overflow memories.

   • Long-Term Memory (LTM):

     • Stores important memories classified as facts, concepts, or patterns.

     • Uses scoring based on relevance and importance to determine what is retained.

4. Evolutionary Scoring:

   • Evaluates interactions based on novelty, complexity, alignment with context, and integration of prior knowledge.

   • Assigns a score to each interaction, reflecting its contribution to the AI's "evolution."

5. Response Generation:

   • Leverages OpenAI's models with a system prompt that defines guidelines and capabilities.

   • Incorporates short-term memory and long-term context to craft tailored, consistent replies.

6. Redis Caching:

   • Utilizes Redis for efficient storage and retrieval of summaries, memories, and evolution-related data.

   • Stores separate sets for topics and insights for quick access.

7. Concurrency and Scalability:

   • Supports concurrent processing of interactions.

   • Manages processing queues for evolution-related tasks.

8. System Stats:

   • Provides metrics on interaction volume, average evolution scores, active users, and queue lengths.