AI Platform·2025
Super Agent Stack
Production-grade AI agent platform with persistent memory and RAG
Overview
Super Agent Stack is a full-featured AI agent platform engineered for production scale. It unifies multi-turn LLM conversations with semantic memory — agents remember past sessions, retrieve relevant knowledge from large document bases, and respond with sub-500ms semantic search.
Built with a Hono.js backend secured by Clerk Auth middleware, the platform delivers API responses in under 200ms to concurrent users. A dual-vector store architecture (Qdrant + Upstash Vector) with a 2-layer Redis cache powers semantic search across 10,000+ documents. The Next.js frontend scores above 95 on Lighthouse desktop performance.
Key Features
01100+ concurrent user conversations with persistent multi-turn memory
02Sub-500ms semantic search across 10,000+ document knowledge base
03Dual vector store: Qdrant + Upstash Vector with 2-layer Redis cache
04API response times under 200ms via Hono.js + Clerk Auth middleware
05Lighthouse performance score above 95 on desktop
06RAG-based knowledge retrieval with dynamic LLM model switching
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