Describe your use case

Users and administrators need insights into their memory usage patterns to optimize their PowerMem setup. They want to understand:

• Total number of memories per user/agent
• Memory distribution by importance level
• Most frequently accessed memories
• Memory growth trends over time
• Storage usage and optimization opportunities
• Search query patterns

Describe the solution you'd like

Implement a statistics and analytics system that provides:

1. Basic statistics:

   • Total memories count (by user, agent, time period)
   • Memory distribution by type (short-term, long-term, private, shared)
   • Average importance scores
   • Memory age distribution

2. Usage analytics:

   • Most accessed memories (top N)
   • Search query frequency
   • Memory access patterns (time-based)
   • Ebbinghaus retention scores distribution

3. API methods:

   stats = memory.get_statistics(user_id="user123")
   # Returns: {
   #   "total_memories": 150,
   #   "by_type": {"short_term": 50, "long_term": 100},
   #   "avg_importance": 0.75,
   #   "top_accessed": [...],
   #   "growth_trend": [...]
   # }

4. Optional dashboard:

   • Simple web-based dashboard (Flask/FastAPI)
   • Visual charts (memory growth, importance distribution)
   • Export statistics as JSON/CSV

The solution should:

• Be performant (use efficient queries, caching if needed)
• Support filtering by user, agent, date range
• Provide both programmatic API and optional UI
• Respect privacy (user-specific stats only visible to that user)

Describe alternatives you've considered

No response

Additional context

No response