A unified command center for orchestrating autonomous AI agents across multiple projects. Three leadership agents supervise up to 15 execution agents with real-time observability, governance enforcement, and automatic session continuity.
Not just agents doing work. Agents managing agents, with governance, health monitoring, and human oversight built into every layer.
Observes fleet state every 5 minutes. Matches queued tasks to idle agents. Detects stalls, enforces scheduling, auto-recovers stuck sessions.
Runs every 30 minutes. Checks infrastructure reachability, detects errors, monitors token costs, logs advisories across the fleet.
Human-in-the-loop via dashboard. Reviews decisions, sets priorities, directs pivots, approves off-plan work. The human stays in control.
Run 15 agents across multiple projects from a single dashboard. Automatic session rotation handles rate limits and timeouts. Governance-as-data means every decision is logged, structured, and auditable.
Up to 15 agents executing in parallel across different projects
Detects rate limits, checkpoints work, spawns new sessions seamlessly
Four views: Chat, Fleet Command, Governance, Results
Pre-authorized, within-corridor, and off-plan decision tiers
Dependency tracking, resource allocation, unified backlog
CommandOS is part of the Level9 AI ecosystem, built by Eric Hathaway alongside StratOS, LucidORG, and LinkupOS.