Give AI agents a sandbox.
On your own Kubernetes.

An AI agent sandbox is an isolated, short-lived environment where an AI agent executes the code it generates, without access to production systems, developer machines, or company secrets. mogenius Agent Sandbox provides these environments on your own Kubernetes cluster: a dedicated namespace and network policy per sandbox with egress denied by default, provisioned on demand and suspended or destroyed when the work ends, every create, exec, and egress attempt logged against a developer or agent identity, and built on the open-source Kubernetes SIG agent-sandbox project.

Move the execution of agent-generated code off developer laptops and into governed sandboxes on your own infrastructure. On a laptop, that code runs next to SSH keys, env files, cloud credentials, and the corporate VPN, with no isolation, no egress control, and no attribution if something goes wrong. With mogenius Agent Sandbox, an agent requests a sandbox through the mogenius MCP server, API, CLI, or UI: generated code executes in an isolated, egress-controlled namespace while the agent stays in the IDE, or the whole agent runs inside the sandbox with no standing access to anything else. Every action reuses the RBAC, workspaces, and audit log that already govern the rest of the platform. More on governing agents: AI Agent Governance.

Run the session on a server or Kubernetes cluster instead of your local machine, so it keeps going when your laptop sleeps or disconnects. A local session ends with the laptop: a task started in the afternoon is lost the moment you leave for the day. With mogenius Agent Sandbox, a platform team turns an existing cluster into an always-on sandbox environment for the whole team: sessions run around the clock with no session caps, connect to an external or self-hosted model endpoint, and every action is logged and attributed, so the results are waiting the next morning.

Give every user or agent session its own ephemeral sandbox, created on demand through the API or MCP and destroyed when the session ends, so sessions cannot see each other's data and generated code only reaches what you allow. mogenius Agent Sandbox provides this on your own Kubernetes: generated code runs and is validated inside the sandbox, egress is denied by default, untrusted workloads can be pinned to a hardened gVisor or Kata runtime, and every session's actions are attributed and logged for audit.

Yes. A sandbox that runs on your own Kubernetes, in your own region or on premises, keeps agent code and data under your control, unlike many third-party cloud sandboxes that process code on US infrastructure and cap session length. mogenius Agent Sandbox runs on any cloud, on-premises, or air-gapped cluster, with no third-party runtime in the path and no session caps. Attributed, logged sandbox actions provide the evidence an ISO 27001 or BSI audit asks for, built on the open Kubernetes SIG agent-sandbox project with no proprietary lock-in. More: mogenius on customer cloud and on-prem.

An open-source Kubernetes SIG initiative that defines custom resources for running AI agent workloads in short-lived, isolated sandboxes on a cluster. It standardizes how a sandbox is created, executed in, and torn down, so platforms like mogenius Agent Sandbox can build on it instead of a proprietary runtime. The project lives on GitHub at kubernetes-sigs/agent-sandbox.