Sye
Team consisting of Stefan Schlegl (CTO, BlueAlpha — TypeScript/Next.js, FastAPI), J Wang (Lead Engineer, OpenText), Ethan Zaruba‑Walker (AI consultant, Python/ML).
Project Description
SYE Agent is an interactive AI-powered system that helps engineers diagnose and resolve production issues faster by building and querying a self-evolving knowledge graph of Symptoms → Causes → Actions. Engineers input problem descriptions (text or system logs), and a multi-agent system built with Python and smol-agents collaboratively extracts structured troubleshooting knowledge, stores it in a Neo4j graph database, and retrieves similar historical incidents using Redis-powered semantic caching—when the agent encounters a symptom it’s seen before, Redis cache hits reduce query latency