Deploy to any cloud
with one command
AI agents analyze your project, generate deployment plans, and ship to AWS, GCP, or Azure. You approve before anything runs.
$npm install -g agent-cloudEverything you need to ship
From project analysis to production deployment, agent-cloud handles the complexity so you can focus on building.
AI-Powered Analysis
Three specialized agents analyze your project, plan deployments, and validate your environment.
Multi-Cloud Support
Deploy to AWS, Google Cloud, or Azure. One CLI, three clouds. Switch providers with a single flag.
Human-in-the-Loop
Review AI-generated plans before execution. Approve, modify, or reject. You stay in control.
CLI-First Design
Built with Commander.js. Interactive prompts, spinners, and clean terminal output.
Security Hardened
Shell injection prevention on every exec call. Command allowlists and path traversal protection.
Zero-Config Deploy
Auto-detects runtime, framework, and dependencies. Generates Dockerfiles for Node.js, Python, and Go.
Dockerfile Generation
No Dockerfile? Automatically generates optimized multi-stage builds for your stack.
Cost Estimation
Get estimated monthly costs before deploying. Compare pricing across all three providers.
Deployment History
Track every deployment with full history. View URLs, resources, costs, and durations.
Credential Safety
Uses your existing cloud CLI credentials. No tokens stored. Works with SSO and MFA.
Dry Run Mode
Preview the entire plan without creating resources. Perfect for CI/CD pipelines.
Easy Cleanup
Remove all deployed resources with a single command. Select specific deployments to tear down.
How it works
Four phases from code to cloud. AI handles the complexity, you keep the control.
Analyze
AI agents scan your project, detect your tech stack, framework, databases, and dependencies. Works with Node.js, Python, Go, and static sites.
cloud-agent analyzePlan
The deployment planner maps your project to optimal cloud services, estimates costs, and generates infrastructure commands.
cloud-agent deploy --cloud awsApprove
Review the generated plan with services, estimated costs, and commands. Approve to proceed, or use --dry-run to preview first.
? Proceed with deployment? (y/N)Deploy
Real cloud resources are created. ECS clusters, Cloud Run services, Container Apps. Get a live URL when it completes.
URL: https://my-app.us-east-1.aws.comOne CLI, three clouds
Same commands, same workflow. Switch providers with a single flag. No vendor lock-in.
Amazon Web Services
Deploy containerized apps to ECS, serverless functions to Lambda, and static sites to S3 with CloudFront CDN.
$ cloud-agent deploy --cloud awsGoogle Cloud Platform
Container deployments on Cloud Run, serverless with Cloud Functions, and static hosting via Firebase.
$ cloud-agent deploy --cloud gcpMicrosoft Azure
Modern container apps, serverless functions, static web apps, and PaaS deployments with automatic resource groups.
$ cloud-agent deploy --cloud azureCLI commands
Every command you need from init to cleanup. Built with Commander.js for a polished terminal experience.
initSet up API keys, cloud CLI detection, and preferences
$ cloud-agent initanalyzeAnalyze your project and get cloud recommendations
$ cloud-agent analyzedeployDeploy your application to any cloud provider
$ cloud-agent deploy --cloud awsstatusCheck if your environment is ready for deployment
$ cloud-agent status --cloud gcplogsView logs from your deployed services
$ cloud-agent logs --cloud aws --service my-appcleanupRemove previously deployed cloud resources
$ cloud-agent cleanuphistoryShow your deployment history and stats
$ cloud-agent historyArchitecture
Three clean layers: AI agents for intelligence, a workflow engine for orchestration, and cloud providers for execution.
AI Agents
Mastra Framework
Analyzer Agent
Scans projects, detects stack
Deployment Agent
Plans infrastructure, estimates costs
Validator Agent
Checks CLI, auth, permissions
Workflow Engine
5-Phase Pipeline
Validate
Environment readiness check
Analyze + Plan
Project scan and service mapping
Approve + Deploy
Human gate then real execution
Cloud Providers
Real Infrastructure
AWS Provider
ECS, Lambda, S3, CloudFront
GCP Provider
Cloud Run, Functions, Firebase
Azure Provider
Container Apps, Functions, Static
Get started
Four commands from install to production.
$ npm install -g agent-cloud$ cloud-agent init$ cloud-agent analyze$ cloud-agent deploy --cloud aws