Glossary · Updated July 2026

What is AI agent workspace?

An AI agent workspace is the environment where fleets of AI agents are put to work and kept accountable — the place that supplies context, shared memory, scoped permissions, review, and a live view of every agent, rather than a framework you code against. It is where agents run, not another library they import.

The distinction matters. An orchestration framework gives you the plumbing to route tasks; an observability SDK gives you traces after the fact. A workspace is the environment those pieces plug into — one continuous view from the whole fleet at a glance down to a single agent's live terminal, with a hand always near the wheel.

A workspace runs the agent harnesses you already use rather than replacing them, holds the memory they draw from and write back to, enforces per-agent permission profiles, and records everything on a replayable trail. Vivari — the AI agent workspace is built as exactly this: the management layer where your existing agents work.

How it relates to agent management

An AI agent workspace is where AI agent management is practiced — the single surface that supplies every management discipline at once instead of leaving them scattered across bolted-on tools.