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Eden, explain the episodic_memory_buffer_1765524374 capability
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This capability handles Temporal experience storage with importance weighting. Here's the implementation:

```python
import sqlite3
import json
from dataclasses import dataclass, asdict
from datetime import datetime, timedelta
from typing import Optional, Dict, Any, List
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

@dataclass
class Episode:
    """Represents an episodic memory"""
    id: int = None
    timestamp: datetime = None
    content: str = ""
    emotion: str = "neutral"
    importance_score: float = 1.0
    retrieved_at: datetime = None
    
    def to_dict(self) -> Dict[str, Any]:
        """Convert Episode to dictionary for storage"""
        return asdict(self)

@dataclass
class MemoryStats:
    """Statistics about the memory contents"""
    total_episodes: int = 0
    recent_importance_avg: float = 0.0
    overall_importance_avg: float = 0.0
    last_retrieved_timestamp: Optional[datetime] = None

class EpisodicMemoryBuffer:
    """
    A temporal memory buffer with episodic storage
    
    Features:
    - Stores experiences with timestamps and content
    - Assigns importance based on temporal distance
    - Boosts importance on retrieval
    - Decays over time (configurable)
    """
    
    def __init__(self, db_path: str = "episodic_memory.db", 
                 decay_rate: float = 0.05, max_life_days: int = 365):
        """
        Args:
            db_path: Path to SQLite database
            decay_rate: Rate at which importance decays (0-1)
            max_life_days: Maximum lifetime of episodes in days
        """
        self.db_path = db_path
        self.decay_rate = decay_rate
        self.max_life_days = max_life_days
        
        # Initialize database
        self._init_db()
        
    def _init_db(self):
        """Initialize SQLite database and tables"""
        conn = sqlite3.connect(self.db_path)
        cursor = conn.cursor()
        
        # Create episodes table
        cursor.execute('''CREATE TABLE IF NOT EXISTS episodes (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            tim
```

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