The problem this solves
Support agents often start each conversation cold. Ticket history may exist, but it is rarely shaped into concise, retrievable memory that an AI agent can use safely in the next interaction.
Use case / Open Source AI Memory Database
Customer Support Agent Memory
Memorose helps support agents remember customer history, recurring issues, product constraints, and escalation outcomes across tickets and sessions.
How Memorose handles it
Stream-scoped events can capture support conversations, ticket metadata, and resolution notes, then retrieve the right customer or account context through hybrid and graph-aware recall.
runtime example
curl -X POST "$BASE_URL/v1/users/customer-42/streams/support-ticket-884/events" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "support-agent",
"content": "Customer prefers email follow-up and has an open billing escalation."
}'