2026-02-19

How to Manage 2+ Agents with AIOS Controller

Primary keyword: manage multiple AI agents 10-100 employees

One agent can be managed manually. Two or more agents require a system. As soon as agents depend on each other, ordering, state, and failure handling become operational concerns.

AIOS Controller gives teams a practical multi-agent blueprint: define stages, assign responsibility per agent, enforce handoff criteria, and track progress with session-level observability.

For 10-100 employee teams, this is a common inflection point. Without a control plane, operations drift into script sprawl and manual intervention. With Controller, runs become repeatable and easier to debug.

A good rollout starts with one cross-functional workflow, adds pause and approval gates for risky steps, and then scales to additional workflows once KPIs are stable.

Tags: Multi-Agent, AIOS Controller