Your agents need
infrastructure. Not just a prompt.
Every AI agent your team runs - Claude Code, OpenCode, Codex, or custom agents - needs an environment with secrets, networking, audit trails, and cost controls. Running them on developer laptops or unmanaged VMs is a liability. Qovery provisions sandboxed, audited runtime environments for every agent.
Your agents run
with the keys
to the kingdom.
Teams are running AI agents autonomously - on developer laptops with access to SSH keys, API tokens, and production credentials. Or on unmanaged cloud instances with no audit trail. Every agent is a blast radius you can't see. One runaway task and your production database is exposed.
Agents on laptops are a blast radius
Running Claude Code autonomously on a developer's laptop means the agent has access to SSH keys, AWS credentials, GitHub tokens, and local secrets. If the agent makes a mistake, the blast radius is everything the developer can reach.
No audit trail for agent actions
When an agent runs on a laptop or an ad-hoc EC2 instance, there's no log of what it did, what data it accessed, or what commands it executed. Your compliance team can't audit what they can't see.
Costs are invisible and unbounded
Agents left running overnight. Agents spinning up cloud resources without cost caps. Agents creating databases nobody knows about. The cloud bill grows and nobody can attribute the spend.
One sandbox per agent.
Every action audited.
Ready to see this in action?
Agent governance.
Not agent chaos.
Six capabilities that turn AI agents from a security liability into a governed workforce.
Per-agent sandbox provisioning
Each agent gets its own isolated environment - its own filesystem, its own network namespace, its own secrets. No shared state, no shared risk.
Scoped secrets
Agents only see the credentials they need. No SSH keys, no AWS root tokens, no production database passwords. Secrets are scoped per-environment and per-role.
Network isolation
HTTP allowlists via squid proxy, DNS filtering via dnsmasq. Control exactly which APIs, services, and endpoints your agents can reach. Block everything else.
Auto-shutdown and cost controls
Agents auto-suspend after configurable idle time. Per-agent and per-team cost caps. Karpenter terminates unused nodes. No surprise bills.
Full audit trail
Every agent action - every command, every deployment, every file change - is logged and attributed to a specific agent, task, and initiator. Exportable for compliance.
Works with any agent
Claude Code, OpenCode, Codex, Cursor, Gemini CLI, or your own custom agents. Any tool that runs in a terminal can run in a Qovery agent sandbox.
From laptop chaos
to agent governance.
How teams move from running agents on developer machines to a governed agent infrastructure.
First agent sandbox
Provision one isolated environment for Claude Code. Scoped secrets, network allowlist, auto-shutdown configured.
Team-wide agent policy
Define agent policies: which tools are allowed, which APIs they can reach, what budget they have. Roll out to the engineering team.
Agents run unattended workflows
Agents work on tickets autonomously - each in their own sandbox. Submit PRs when done. Platform team monitors via audit dashboard.
Full agent governance
Every agent in the company runs in a Qovery sandbox. No more agents on laptops. Compliance team has full visibility. Cost is predictable.
“We set up Remote Development Environments on Qovery so anyone - engineers, but also non-technical team members - can spin up a fully configured stack on demand. For Claude Code, agents work on tasks unattended for hours inside an isolated sandbox, then surface a PR when done.”
Your agents need
more than a prompt.
Give every AI agent a sandboxed, audited, cost-controlled environment. See how Tint and other teams govern their agent workforce.