CloudAgent automatically discovers and organizes your architecture, cost, security, and health data so every supported AI agent has the context it needs to work safely.
Supported platforms:
Azure (coming soon)
GCP (coming soon)
Context
Architecture pasted by hand. Resources rediscovered every time. Cost and security signals nowhere in reach.
Workload discovery
Accounts and applications cataloged automatically.
Living architecture
Diagrams and notes stay attached to real resources.
Signals in context
Cost, health, and threat data mapped to each workload.

Guardrails
CloudAgent scopes what agents can see and do — and keeps the receipts.
Read-only by default
Write access is granted per session, never assumed.
IaC checks before changes
Every plan is reviewed against policy before it applies.
Approvals and audit
Humans sign off; every run is logged end to end.

Repeatability
Turn what worked into skills your team can run again — with any agent.
Skills, not prompts
Codify a task once; run it with any supported agent.
Workflows for complex operations
Coordinate multiple skills, steps, and approvals into repeatable processes.
Complete run history
Keep every input, action, decision, output, and result from previous runs.

We needed DevOps coverage, security expertise, and someone watching the cloud bill. Hiring three people at our stage just was not on the table. CloudAgent gave us all of it in a single deployment. Our engineers do not think about the cloud. They build the product.
Cloud-hosted option
CloudAgent Hub brings the workspace to the cloud with team access, managed agents, and built-in security and compliance scanning.
Explore CloudAgent Hub