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What is The Selection Criteria?

Choose memory types based on your specific needs:
Memory TypeWhen to UseRequirements
Conversation MemoryCustomer support, tutoring, detailed conversationssession_id
Summary MemoryLong conversations, cost reductionsession_id, model
User Analysis MemoryPersonalization, user preferencesuser_id, model

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Making Combination of Memory

You can use one type or combine all three for the most powerful memory system: 
# Basic conversation memory only
memory = Memory(
    storage=InMemoryStorage(),
    session_id="session_001",
    full_session_memory=True
)

# All three memory types
memory = Memory(
    storage=InMemoryStorage(),
    session_id="session_001",
    user_id="user_001",
    full_session_memory=True,
    summary_memory=True,
    user_analysis_memory=True,
    model="openai/gpt-4o"
)

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Use Case for Conversation Memory

  • Customer Support: Maintain context across support tickets
  • Tutoring: Remember what topics have been covered
  • Long Conversations: Keep track of detailed discussions
  • Debugging Sessions: Remember error states and solutions

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Use Case for Summary Memory

  • Long Sessions: Reduce token costs for very long conversations
  • Meeting Notes: Automatically summarize key points
  • Documentation: Create evolving summaries of complex topics
  • Cost Optimization: Maintain context without full history

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Use Case for User Analysis Memory

  • Personalization: Adapt responses to user preferences
  • Learning Systems: Track user progress and expertise
  • Customer Profiles: Build comprehensive user understanding
  • Adaptive Interfaces: Customize experience based on user traits