📦 Amygdala Memory — 情感记忆层

Emotional processing layer for AI agents. Persistent emotional states that influence behavior and responses. Part of the AI Brain series.

Overview

Amygdala Memory is an emotional processing layer that provides AI agents with persistent emotional states. This component is part of the AI Brain series, enabling agents to maintain and react based on emotional context.

Features

• Persistent Emotional States: Store and retrieve emotional memories
• Emotional Processing: Process stimuli and generate appropriate emotional responses
• Behavioral Influence: Affect agent behavior based on emotional context
• Memory Integration: Work seamlessly with other brain components

Usage

from alvis_amygdala import AmygdalaMemory
# Initialize the emotional memory layer
amygdala = AmygdalaMemory()
# Store an emotional experience
amygdala.remember(emotion="joy", intensity=0.8, context="user_compliment")
# Retrieve emotional state
current_emotion = amygdala.get_current_state()

Configuration

Architecture

┌─────────────────┐
│   Stimulus      │
│   Input         │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Emotional      │
│  Processing     │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Memory         │
│  Storage        │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Behavioral     │
│  Influence      │
└─────────────────┘

Integration

Amygdala Memory integrates with other AI Brain components:

• Hippocampus: For contextual memory binding
• Prefrontal Cortex: For decision-making integration
• Sensory Cortex: For stimulus processing

License

MIT License - See LICENSE file for details