Welcome to CloudStation
AI agents and cloud infrastructure for modern teams
CloudStation combines AI-powered agents with cloud infrastructure. Build, deploy, and scale from a single dashboard.
What is CloudStation?
CloudStation does two things really well:
AI Agent Platform - Create AI agents, run multi-agent workflows, and automate tasks through chat. Agents can write code, manage infrastructure, do research, and work together.
Cloud Infrastructure - Deploy and manage production services with workspaces, projects, and instances. Launch databases, apps, and infrastructure from templates or your own Docker images and Git repos.
Key Capabilities
- AI Chat & Agents - Talk to agents through real-time chat with a tools panel for tasks, files, browser, and web preview
- Cloud Infrastructure - Deploy services from templates, Docker images, or Git repos with automatic builds and health checks
- App Templates - 36+ ready-to-use agent templates for development, research, design, content, and infrastructure
- Team Collaboration - Workspaces with role-based access, team management, and shared projects
Key Concepts
Agents
Agents are AI workers built for specific tasks. Each agent has:
- System prompt - Defines expertise and behavior
- Model configuration - Tuned for the task at hand
- Tool access - Capabilities through MCPs
- Skills - Reusable abilities that extend what they can do
Templates
Templates are ready-to-use agent blueprints. CloudStation includes 36+ templates:
- Development - Builders, testers, reviewers, committers
- Research - Deep research agents, documentation experts
- Design - Frontend designers, visual design experts
- Content - Copywriters, SEO experts, presentation creators
- Infrastructure - Dependency updaters, merge resolvers
Charlie Orchestrator
Charlie is the multi-agent orchestration system that:
- Creates and manages agent lifecycles
- Coordinates communication between agents
- Handles parallel and sequential workflows
- Integrates with Stella for project management
MCP Integration
Model Context Protocol (MCP) extends what agents can do:
- External tool integrations (GitHub, Slack, Linear)
- Custom data sources and APIs
- Specialized processing capabilities
- Extensible plugin architecture
Workspaces, Projects & Instances
Cloud infrastructure is organized like this:
- Workspaces - Top-level containers for team collaboration with billing and member management
- Projects - Logical groupings within a workspace for related services
- Instances - Individual running services (databases, apps, infrastructure)
Quick Start
Getting Started
Set up your account and deploy your first service
Chat & Sessions
Interact with AI agents through real-time chat
Agents
Browse and create specialized AI agents
Workspaces
Manage cloud infrastructure and deployments
Templates
Explore 36+ pre-built expert agent templates
We add new features and templates regularly. Check back often.