# hack with Hyd 2.0

> Source: <https://dev.to/bhavya_bandarupalli_d0647/hack-with-hyd-20-3bp6>
> Published: 2026-06-28 11:41:17+00:00

Support bots that forget every conversation aren't support bots. They're expensive FAQ pages.

I built SupportMind to fix that — a customer support agent that actually remembers.

The architecture is two layers:

Memory (Hindsight): After every interaction, the agent stores structured context in a vector namespace per user. Next session, it recalls semantically — "payment problem" retrieves "Visa charge failing" even if the words don't match.

Routing (cascadeflow): Not every query needs GPT-4. Password resets go to Groq's free tier. Complex billing disputes escalate. Every decision is logged with model, cost, latency, and reason.

The delta that matters:

Session 1: "Can you tell me your card details and the error you're seeing?"

Session 3 (same user, same issue): "I see you've had recurring issues with your Visa ending in 4242. Last time, clearing billing cache fixed it — want to try that first?"

Same infrastructure. Completely different agent.

On a typical support workload: ~80% simple queries handled by the cheap model. Cost per query dropped from ~$0.012 to ~$0.002.

The part I didn't expect: routing and memory compound. When Hindsight shows a user has had the same issue four times, cascadeflow automatically classifies their next message as complex — even without explicit signals. That fell out of the architecture. 👇

[https://lnkd.in/gn8NwP6Z](https://lnkd.in/gn8NwP6Z)

hashtag#AIAgents hashtag#AgentMemory hashtag#Hindsight hashtag#cascadeflow hashtag#LLM hashtag#AI