Cloud Infrastructure for AI Agents

Let Your AI Agents Own the Cloud

Give AI dev agents autonomous access to databases, containers, storage, CI/CD, and full cloud infrastructure through a unified API.

Claude Code
Cursor
GitHub Copilot
Devin
LangChain
20+ more

Three Steps to
Agent-Powered Cloud

Your AI agents get their own API key, authenticate once, and control the entire cloud infrastructure autonomously.

1

Connect Your Agent

Generate an API key and pass it to your AI agent. Supports any agent framework — Claude Code, Cursor, Devin, or your custom agent built with any SDK.

2

Agent Takes Control

Your agent autonomously provisions databases, deploys containers, manages storage, sets up CI/CD pipelines, and configures networking through our REST API.

3

Ship to Production

Infrastructure is live instantly. Your agent gets back connection URLs, health endpoints, and monitoring data. Full observability from day zero.

Everything an AI Agent
Needs to Ship Software

A complete cloud platform designed from the ground up for autonomous AI agents. Every action is an API call.

Provision Databases

Agents spin up MySQL, PostgreSQL, Redis, MongoDB, or Kafka instances on demand. Full schema management, user control, and data browsing via API.

agent.database.create()

Deploy Containers

Full Docker lifecycle — build, push, pull, run, scale, and monitor. Agents manage containers with live stats, log streaming, and auto-restart policies.

agent.container.deploy()

Object Storage (S3)

S3-compatible storage with full API. Agents store datasets, model weights, build artifacts, and static assets. AWS SDK compatible.

agent.storage.upload()

Git & CI/CD Pipelines

Agents push code, create branches, trigger CI/CD builds, and manage deployment pipelines. Full Git server with webhook-driven automation.

agent.git.push()

Container Registry

Private Docker registry with v2 protocol support. Agents build images, push to registry, and deploy directly — all within the same platform.

agent.registry.push()

Monitoring & Logs

Real-time system metrics, container health, resource usage, and centralized logging. Agents self-diagnose and auto-scale based on live data.

agent.monitor.status()

Agent-Native
Infrastructure Stack

Every service is API-first and built for programmatic access. No dashboards needed — your agents interact directly with the infrastructure layer.

5 Database Engines

MySQL, PostgreSQL, Redis, MongoDB, Kafka

Container Runtime

Docker management, orchestration, live stats

S3-Compatible Storage

Object storage with AWS SDK compatibility

Reverse Proxy & TLS

Auto-configured routing with SSL certificates

AI Dev Agent

Claude Code / Cursor / Devin / Custom

cloud4.guru/api/v1

🗃

Databases

📦

Containers

📁

Storage

🔀

Git Repos

⚙️

CI/CD

📊

Monitoring

Works With Every Agent
You Already Use

Cloud for AI provides full support for all major AI coding agents and agent frameworks. If it can make an HTTP call, it can control your cloud.

AI Coding Agents

Claude Code
Cursor
GitHub Copilot
Devin
OpenAI Codex
Windsurf
Gemini CLI
Cline
Aider
Replit Agent
Amazon Q Developer

Agent Frameworks & SDKs

LangChain / LangGraph
CrewAI
OpenAI Agents SDK
Anthropic Agent SDK
Microsoft AutoGen
Google ADK
LlamaIndex
Semantic Kernel
AWS Strands Agents
Dify
SmolAgents
PydanticAI

Protocols & Standards

MCP (Model Context Protocol)
REST API
S3 Protocol (AWS Sig V4)
Docker Registry v2
Git Smart HTTP

Any agent or framework that can make HTTP requests has full access to all 218 API endpoints. Build with the tools you know — we handle the infrastructure.

Frequently Asked
Questions

Everything you need to know about Cloud for AI and how your agents can get started.

Cloud for AI works with any AI agent that can make HTTP requests. This includes Claude Code, Cursor Agent, Devin, and custom agents built with LangChain, CrewAI, AutoGen, OpenAI Agents SDK, or Anthropic Agent SDK. If your agent can call a REST API, it can use our platform.

Each agent gets a unique API key that you generate from the dashboard. Pass the key as a Bearer token in the Authorization header. Agents authenticate once and can then autonomously manage all infrastructure resources within their permission scope.

Agents can spin up MySQL 8.0, PostgreSQL 16, Redis 7, MongoDB 7, and Kafka 3.7 instances on demand. Each database comes with full management capabilities including schema creation, user management, data browsing, and connection pooling. Databases are ready in seconds.

Yes. Our S3-compatible object storage implements the full S3 protocol with AWS Signature V4 authentication. It works seamlessly with aws-cli, boto3, and any S3 SDK. Agents can store datasets, model weights, build artifacts, and static assets using the same tools they already know.

Absolutely. Agents have full Docker lifecycle control — pull images, create containers with custom environment variables, ports, and volumes, start/stop/restart, view live CPU and memory stats, stream logs, and push images to the built-in container registry. All through the API.

Agents push code to the built-in Git server, define YAML-based CI/CD pipelines, and trigger builds via webhooks or API calls. They can monitor pipeline status, view build logs, and automatically deploy successful builds to containers. The entire workflow is fully autonomous.

Give Your Agents
Superpowers

Let AI agents build, deploy, and manage infrastructure autonomously. Start free and scale when you're ready.

No credit card required
218 API endpoints
5 database engines