feat: Implement AgentCore Memory integration with session persistence #172
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- Fixed multiple memory ID creation issue by separating setup from runtime - Added setup_memory.py script for one-time memory creation - Implemented session-based S3 file persistence - Added memory viewing scripts (conversation history and long-term memories) - Updated memory_manager.py to load from SSM instead of creating - Enhanced agent.py with proper memory context loading - Added comprehensive MEMORY_SETUP.md documentation - Fixed script parameter passing for actor_id and session_id
- Integrated memory setup into deploy.sh (idempotent, SSM-first approach) - Fixed multiple memory IDs issue by using SSM Parameter Store as source of truth - Added session summaries support using list_sessions() and list_memory_records() - Updated Streamlit UI Tab 3 to display conversation summaries - Updated view_memories.sh CLI to show session summaries - Added get_session_summaries() method to memory_manager.py - Fixed turn numbering in Streamlit (most recent turn shows highest number) - Removed setup_memory.py (functionality moved to deploy.sh) - Added comprehensive README.md with updated documentation - Added .gitignore for generated files - Follows customer-support-assistant pattern from AWS samples
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Fixes #