What it is

Caducus is the beginning of an operator-agent layer for the Anthus Platform. It takes logs and operational events, clusters them into meaningful patterns, and surfaces a small radar of issues that matter now instead of forcing humans to dig through raw noise.

What it does

• Ingests events and demo datasets into a normalized operational view.
• Groups semantically related incidents into ranked issue patterns.
• Highlights recency, recurrence, and size so operators can triage effectively.
• Uses file-backed storage and semantic analysis components from the broader Anthus stack.

Why it matters

Reliable AI systems need the same thing every other production system needs: operators who can understand what is happening quickly. Caducus is about shortening that path from "something is wrong" to "this is the pattern worth investigating first."

How it fits the Anthus Platform

Caducus depends on Virtuus for storage and Biblicus concepts for semantic clustering and reinforcement memory. In the broader platform story, it represents the observability and operator-support layer that complements agent execution and MLOps.

A common pattern is Plexus + Korporus + Caducus: govern the system, run it in a standard shell, and give operators a clearer picture of what is happening in production.