Orchestration
Run multi-agent workflows with a single operational layer.
AIOS Controller: run 2+ agents like a real system
If one agent is a demo, two or more agents is a business process. AIOS Controller is the control plane for multi-agent operations: orchestration, visibility, guardrails, and cost tracking, so your agents do not turn into a pile of scripts.
What AIOS Controller does
AIOS Controller sits above your agent runtime and gives you a single place to operate multiple agents.
- Start and stop sessions with consistent inputs
- Pause and resume deterministically
- See status, progress, and economics in one view
- Manage which agents exist per tenant and team
- Add gates and governance patterns as you scale
Plain English: it is the difference between agents running and agents managed.
Why 2+ agents changes everything
Coordination
Which agent runs first? Which one waits? What triggers the next step?
Accountability
Who started what? What changed? What did it cost?
Guardrails
Some outputs ship automatically. Others need review, approvals, or strict constraints.
Repeatability
You need deterministic behavior during retries, failures, and partial completion.
AIOS Controller is built for this reality.
Feature cards
Governance
Add gates, boundaries, and auditability as you scale.
Cost + ROI
Track invocations and cost so you can manage performance like a system.
Core features (what you can do today)
Multi-agent orchestration
Run workflows like research → draft → QA → publish, or extract → verify → enrich → outreach.
Session lifecycle control
Start, pause, resume, and stop sessions reliably for real operations.
Agent registry (team and tenant scoped)
Define which agents are available and keep boundaries clean between environments.
Visibility and traceability
Track session progress and outcomes so teams can debug and improve without guesswork.
Economics and ROI
See invocations, AI cost, and ROI signals so agents are managed as a measurable system.
What this replaces
If you are currently managing agents with ad-hoc scripts, cron jobs, manual reruns, or Slack messages as workflows, Controller becomes the layer that makes it structured and operable.
Typical use cases
1) Content engine (multi-stage)
Agent A research, Agent B draft, Agent C compliance and QA, Agent D format and publish.
2) Sales ops + CRM hygiene
Agent A enrich lead, Agent B score and route, Agent C personalize outreach, Agent D log outcomes and follow-ups.
3) Ops automation with human gates
Agent A proposes action, human approves or denies, Agent B executes, Agent C reports and audits.
How AIOS Controller relates to AIOS Connector
- AIOS Controller is the control plane UI and API for operations
- AIOS Connector is the secure integration boundary for external systems
If you want CRM, backend services, or schedulers to trigger sessions safely, use Connector. If you want a place to run and manage multi-agent execution, use Controller. Most teams use both.
FAQ
Is Controller only for big teams?
No. The moment you run 2+ agents, you benefit from a control plane.
Does Controller change the kernel?
No. It sits above the runtime so core behavior does not need to be rewritten.
Can I do approvals and RBAC?
Yes. Controller supports RBAC-ready patterns and approval gates as you scale.
Is this self-hosted?
You can run it locally for development and behind TLS when ready for remote access.
Get started
If you want the real product walkthrough, setup, and demos:
Open AIOSController.comWant to orchestrate 2+ agents with real operational control? That's what Controller is for.