HostKit is a platform that enables AI coding agents (e.g., Claude Code) to seamlessly deploy, manage, and operate full-stack applications on a single Linux VPS without manual SSH interaction.

How does HostKit simplify application deployment?

HostKit simplifies deployment by providing AI agents with direct tools to manage server resources, create isolated projects, and deploy code, eliminating the need for Docker, Kubernetes, or complex YAML pipelines.

What features does HostKit offer for deployed projects?

Each project gets an isolated environment with its own Linux user, systemd service, subdomain, and SSL. Agents can also enable core services like authentication, payments, SMS, and access infrastructure like PostgreSQL and Redis.

What are the prerequisites to use HostKit?

To use HostKit, you need an Ubuntu 22.04+ VPS (2+ GB RAM), a domain name managed by Cloudflare for automatic wildcard subdomain routing, and Node.js 20+ installed on your local machine.

HostKit

Name: HostKit
Author: hostkit-platform

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Empowers AI coding agents to deploy and manage full-stack applications on a single Linux VPS efficiently.

HostKit is an AI-agent-native VPS management platform designed to bridge the gap between AI coding agents and production deployment. It provides agents with a comprehensive set of MCP tools to manage a real Linux server, enabling them to create projects, configure services, deploy code, run database queries, and diagnose issues without requiring manual SSH. The platform simplifies infrastructure management by offering a lean setup without Docker or Kubernetes, ensuring each project gets its own isolated environment with systemd services, subdomains, and automatic SSL, fostering rapid full-stack application development by AI agents.

Key Features

011 GitHub stars

02AI-agent-native deployment and operation (no manual SSH required)

03Isolated project environments with dedicated Linux users, systemd services, subdomains, and SSL

04One-command activation for core services like authentication, payments, SMS, and object storage

05Access to 15 MCP tools for project lifecycle management, infrastructure control, and operations

06Simplified deployment without Docker, Kubernetes, or complex YAML pipelines

Use Cases

01Automating the deployment and management of full-stack web applications by AI coding agents

02Providing AI agents with direct control over VPS infrastructure for project creation and service enablement

03Rapidly deploying and operating multiple isolated projects on a single Linux VPS