[Use Case] Memory-Powered Customer Support Agent with Short-Term + Long-Term AgentCore Memory

[Ashutosh0x]

Use Case Proposal

I'd like to contribute a Memory-Powered Customer Support Agent use case demonstrating AgentCore Memory in an end-to-end conversational agent.

What it demonstrates:

• Short-term memory (session context via events)
• Long-term memory (semantic extraction with CustomerFacts and IssueHistory strategies)
• AgentCore Memory SDK (MemoryClient) with Strands Agents SDK
• Cross-session customer recognition and personalization
• Memory-backed tools for customer history recall, ticket creation, and order lookup

Technical stack:

• Python + Strands Agents SDK
• AgentCore Memory (create_memory_and_wait, create_event, retrieve_memories)
• Semantic strategies: CustomerFacts, IssueHistory
• Unit tests with pytest

Location:

02-use-cases/01-conversational-agents/memory-powered-customer-support/

PR:

#1734

I've followed the contributing guidelines and the 02-use-cases template format.