{"slug": "hack-with-hyd-2-0", "title": "hack with Hyd 2.0", "summary": "A developer built SupportMind, a customer support agent with persistent memory and intelligent routing. The system uses Hindsight for session memory and cascadeflow for query routing, reducing costs from ~$0.012 to ~$0.002 per query by handling 80% of queries with cheaper models.", "body_md": "Support bots that forget every conversation aren't support bots. They're expensive FAQ pages.\n\nI built SupportMind to fix that — a customer support agent that actually remembers.\n\nThe architecture is two layers:\n\nMemory (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.\n\nRouting (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.\n\nThe delta that matters:\n\nSession 1: \"Can you tell me your card details and the error you're seeing?\"\n\nSession 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?\"\n\nSame infrastructure. Completely different agent.\n\nOn a typical support workload: ~80% simple queries handled by the cheap model. Cost per query dropped from ~$0.012 to ~$0.002.\n\nThe 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. 👇\n\n[https://lnkd.in/gn8NwP6Z](https://lnkd.in/gn8NwP6Z)\n\nhashtag#AIAgents hashtag#AgentMemory hashtag#Hindsight hashtag#cascadeflow hashtag#LLM hashtag#AI", "url": "https://wpnews.pro/news/hack-with-hyd-2-0", "canonical_source": "https://dev.to/bhavya_bandarupalli_d0647/hack-with-hyd-20-3bp6", "published_at": "2026-06-28 11:41:17+00:00", "updated_at": "2026-06-28 12:03:42.311084+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-products", "ai-infrastructure", "developer-tools"], "entities": ["SupportMind", "Hindsight", "cascadeflow", "GPT-4", "Groq"], "alternates": {"html": "https://wpnews.pro/news/hack-with-hyd-2-0", "markdown": "https://wpnews.pro/news/hack-with-hyd-2-0.md", "text": "https://wpnews.pro/news/hack-with-hyd-2-0.txt", "jsonld": "https://wpnews.pro/news/hack-with-hyd-2-0.jsonld"}}