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.
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