A modular, object-oriented Agentic AI Engine prototype built for the Gradient AI Hackathon for Builders. This agent automates system architecture workflows by continuously monitoring unstructured incoming system command streams, executing a reasoning loop to evaluate critical versus routine intent, and utilizing automated local database tools to isolate state records cleanly.
The engine is built on a custom state-machine loop designed to manage and audit data without requiring heavy external cloud API resources:
[ Incoming Unstructured Stream ]
│
▼
[ PHASE 1: REASONING LOOP ] ──► (Evaluates intent flags for failures/timeouts)
│
▼
[ PHASE 2: TOOL SELECTION ] ──► (Dynamically targets storage partitions)
│
▼
[ PHASE 3: STORAGE ENGINE ] ──► (Appends structured data to system_registry.json)