Built a customer-support AI agent with persistent memory using Hindsight

Built a customer-support AI agent that actually remembers customers One problem I noticed with AI support agents is that they often make customers repeat the same information in every new conversation. So I built SupportMemory using Hindsight persistent memory. The idea is simple: Without memory: Customer → AI → Response With memory: Customer → Recall previous context → AI → Response → Retain new information For the demo, I used three customers: Ananya, Steven, and Max. For example, instead of asking Ananya for her order number again, the agent can recall her previous interaction and continue from there. The main things I explored were: Persistent customer memory Recall + retain architecture Personalizing support responses -Comparing agent behavior with and without memory Using Hindsight as the memory layer The biggest takeaway for me: AI agents don't just need to generate good responses — they also need to remember the right context. Would love to hear how others are approaching memory in AI agents.