Developer Builds Stateful AI Support Agent IRIS to Fix Chatbot Memory Problem

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A developer built IRIS (Intelligent Recall & Issue Support), a stateful API service designed to give AI customer support agents persistent memory across chat sessions. The core problem IRIS addresses is that most support chatbots treat every interaction as a fresh conversation, forcing customers to repeatedly provide the same information. IRIS is built with FastAPI and uses Groq-hosted LLaMA 3 for fast inference, with real-time connectors to platforms like Shopify to prevent inaccurate responses about order status. A two-layer memory architecture separates per-customer history from tenant-wide pattern data, preventing user context from being mixed across accounts. The system is designed as a headless, multi-tenant API that integrates into existing e-commerce platforms without requiring businesses to adopt a new interface.

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