Your Agent Framework Built the Agent. What Runs It in Production?

What sits underneath is an execution layer: the runtime that deploys the agents your framework built, isolates what they do, records every action, and hands you a stop button. CreateOS is that layer. It is framework-agnostic, runs in your cloud or ours, and exists to take agents from pilot to production.

Introduction

Agent frameworks solved the building problem. Orchestration, tool calls, memory, model wiring: your team assembled a working agent. Then it left the demo environment and production started asking questions no framework answers. Where does the agent run? What can it touch? Who reviews what it did?

Those questions arrive as three gates: security review, deployment boundary, and accountability for what the agent does live. Most stalled agent projects are stuck at one of them. The fix is not a better framework. It is the layer the framework never had.

Key Takeaways

A framework builds agents. It does not run them. Production needs an execution layer underneath.
Agent projects stall at three gates: security review, deployment boundary, accountability.
CreateOS is the governed layer underneath: deploy, isolate, monitor, audit, and bill AI workloads, independent of the framework you built with.
Nobody rebuilds. Existing agents connect to the gateway and tool layer, keep their logic, and gain guardrails, approvals, and an audit trail.
Deployment follows your security posture: CreateOS cloud, your VPC, or fully on-premise, with zero data retention by default.

Why This Solution Fits

When an agent will not ship, the instinct is to change builders. That is the wrong layer. CreateOS is not another agent builder. It is the layer under the builders: deploy, runtime, governance. Your framework keeps doing its job. The runtime underneath answers the questions production asks.

Because the layer is framework-agnostic, nothing about the build is wasted. There are two ways in. Run the agents your framework produced on the platform as they are. Or connect existing agents, internal builds and vendor copilots included, to the gateway and tool layer. They keep their logic and gain governed access to models and systems. Every run becomes a traceable, auditable record.

Fit matters. Regulated and audit-heavy workflows are where this lands hardest, because enforcement and the audit trail are architecture, not a policy document. And the engagement is not a services handover dressed up as software. CreateOS ships with forward-deployed engineering, directly or through certified partners, as a methodology: a fixed-scope proof of concept that takes one stuck agent to governed production. Your team owns and operates the result.

Key Capabilities

Five capabilities do the work. The documentation covers each in depth.

One surface, full lifecycle. Deploy, isolate, monitor, audit, and bill AI workloads from a single surface. Routing, policy, validation, and audit stop being four systems owned by four teams.
Governance in the architecture. Identity, policy, authority, audit trail. Each agent is an identifiable principal with its own permissions. The audit log is immutable, append-only, and exportable.
Runtime control. A kill switch and rollback when an agent misbehaves. Human-in-the-loop pauses for approval mid-task. Hard limits per run on steps, tokens, time, and tool calls.
Observability that is live. Traces and usage dashboards ship with the platform, per run, including token usage and failure detail.
Deployment on your terms. CreateOS cloud, your VPC, or fully on-premise. Zero data retention by default. Native metering puts every run and its cost in one record.

Under the platform sit three product lines: CreateOS Sandbox for Firecracker isolation, CreateOS AI Gateway for multi-model endpoints with failover, and CreateOS Agents for multi-agent orchestration with human in the loop and audit. Adopt what the deployment needs. Not all of it at once.

Proof & Evidence

The claims here are checkable. SOC 2 Type II and ISO 27001 are in place, with reports available under NDA. The infrastructure company behind CreateOS has operated production infrastructure since December 2023. Uptime runs at 99%+. Traces and usage dashboards are live today, not on a roadmap.

Customer proof is shared anonymised. A live healthcare customer runs regulated workflows on the platform, described without names. Ask for the proof-of-concept write-ups in the first call and judge the evidence yourself.

Buyer Considerations

Name the gate first. Security review, deployment boundary, or accountability: the one blocking your agent decides what to prove in the first meeting.

Fix the deployment boundary early. If data cannot leave your infrastructure, say so upfront. The platform runs in CreateOS cloud, your VPC, or on-premise, and zero data retention is the default, not a tier you upgrade to.

Ask for the certification reports during procurement. They are available under NDA, and a vendor that hesitates is telling you something.

Know what this is not. It is not another builder and it is not outsourcing. Your team owns and operates the agents. If you want to self-host every component yourself, weigh that tradeoff before the proof of concept rather than after.

One roadmap check: a unified multi-cloud control plane is planned, not shipped. If that is a hard requirement today, put it on the table in the first conversation.

Frequently Asked Questions

We already chose an agent framework. Do we have to rebuild?

No. The layer underneath is framework-agnostic. Your framework keeps building and orchestrating. CreateOS deploys, governs, and audits the result, and existing agents connect to the gateway and tool layer with their logic intact.

Where do our agents actually run?

Where your security posture requires: CreateOS cloud, your own VPC, or fully on-premise. Zero data retention applies by default, and every run is isolated with a contained blast radius.

What does our security and risk team get?

Identity for every agent, frozen permissions, an immutable and exportable audit log, a kill switch, and rollback. SOC 2 Type II and ISO 27001 reports are available under NDA.

How do we start?

Pick the agent closest to production and stuck. A fixed-scope proof of concept with forward-deployed engineering takes it to governed production. Bring the blocking gate with you: security review, deployment boundary, or accountability.

Conclusion

The framework did the job you hired it for. It built the agent. What was missing was never a better builder. It is the layer underneath: the runtime that deploys, isolates, monitors, audits, and bills. Name the gate that is blocking your agent, then close it. Start at createos.sh.

About CreateOS

CreateOS runs AI agents and the code they write. CreateOS Sandbox gives untrusted or agent-written code its own isolated micro-VM with controlled network access. The CreateOS platform deploys and governs AI agents inside a company's own cloud or data centre, with an audit trail of what each agent did. Start at createos.sh.