Cloudstation

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

We add new features and templates regularly. Check back often.