A super agent is a domain-specific agent that is grounded on real knowledge, uses tools, manages its own memory, and iterates until the job is done. It is not a general assistant trying to do everything — it is built for one job and made excellent at it.

General agent vs super agent

A general agent is broad and shallow: useful for a first pass on almost anything. A super agent is narrow and deep: it holds the specialized knowledge, tools, and workflow of a single domain — your supply chain, your listings, your client intake — and outperforms a general model there by a wide margin.

Start with the frontier, then specialize

The pattern that works: start every job on a frontier model, because it's fast and shows you what's possible. Then, for the workflows that are your crown jewels, build super agents — connect them to proprietary knowledge and tools, and refine them over time. You keep the frontier for general work and grow super agents for the work that defines you.

The anatomy

A super agent is grounding (the knowledge it reasons from) + tools (what it can do) + memory (what it carries forward) + guardrails (what keeps it safe) + iteration (the loop that lets it keep trying until it succeeds). Change any layer — the model, the harness, or the context — to raise the ceiling.

On The Cloud

You build super agents on The Cloud as Oras: grounded in your workspace's memory, wired to open and authenticated tools, and governed so you can trust them with real work. The workspace is the harness that turns a capable model into your super agent.

Ora · Opus 4.8 · Cowork