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Craft Agents with Persistent Memories

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Overview

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This course explores architecting stateful AI agents that use short-term memory within a session or long-term memory services. Additionally, it covers giving agents existing expertise through skills. It details the core pillars of context engineering to facilitate personalized, continuous conversational experiences with expert agents.

Syllabus

  • Introduction
    • Course introduction
  • Chapter: Introduction to persistence in agents
    • Overview and learning objectives
    • Define context engineering
    • Evaluate the cost implications of agent context
    • Add skills to agents
    • Manage data persistence in Agent Platform
    • Use Skills with ADK Agents
    • Quiz
  • Chapter: Maintain the history of agent interactions with sessions
    • Overview and learning objectives
    • Define sessions
    • Design sessions for multi-agent systems
    • Examine the session object
    • Explore state and the session's scratchpad
    • Manage sessions with a SessionService
    • Quiz
  • Chapter: Build long-term persistence with memories
    • Overview and learning objectives
    • Define memory
    • Analyze the anatomy of agent memory
    • Set up Agent Platform Memory Bank
    • Define memory generation
    • Define memory consolidation
    • Define memory provenance
    • Define memory retrieval
    • Perform inference with memories
    • Building an ADK Agent with Session and Memory Services
    • Quiz
  • Chapter: Production considerations for sessions and memory
    • Overview and learning objectives
    • Consider the production requirements for sessions
    • Manage long context conversations
    • Test and evaluate memory-enabled agents
    • Consider the architectural pillars of memory
    • Mitigate privacy and security risks
    • Quiz
  • Conclusion
    • Course summary
  • Your Next Steps
    • Claim credential

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