Die besten Alternativen und Wettbewerber zu OpenShip

Agenten-native Cloud-Infrastruktur, mit der Coding-Agenten den gesamten Backend-Stack betreiben

Kostenlos / Open SourceOpenclaw is an open-source framework for building AI automations that run on your own machine. Messages arrive from WhatsApp, Telegram, Discord, Slack, Signal, or iMessage through a unified router; a programmable workflow engine in TypeScript or YAML decides what happens next; and plugins extend it into 50+ services. It keeps persistent memory across sessions, can browse the web and fill forms, and can read and write files or run shell commands under sandboxing you control. Model choice is open — Anthropic, OpenAI, or fully local via Ollama — all released under the MIT licence.

Kostenlos / Open SourceRivet is open-source infrastructure for running and scaling AI agents as "Actors" — durable, stateful compute units that live inside your own Node.js or Bun backend. Each Actor keeps persistent state, a filesystem, and a SQLite database, so agents survive restarts, share state, and run code written at runtime without a redeploy. Rivet ships as a single stateless Rust binary and can be self-hosted, run in your VPC, or used through a managed cloud.

Persistente Ubuntu-Cloud-VMs für KI-Agenten-Fabriken

Selbst gehostete Cloud-Entwicklungsumgebungen und KI-Coding-Agenten für Unternehmensteams

Kostenlos / Open SourceProduktions-Cloud mit Autopilot für Full-Stack- und KI-Apps

SpezialisiertKI-DevOps-Engineer, der deine Apps bereitstellt und skaliert

Cloud-Linux-VMs für Entwickler und ihre KI-Agenten

Kostenlos / Open SourceMastra is an open-source TypeScript framework for building, deploying, and observing AI agents and workflows. It gives JavaScript developers typed agents, durable workflows, memory, MCP tool support, and built-in observability so prototypes can scale into production.

Kostenlos / Open SourceBrowser-Agenten und getarnte Cloud-Browser für echte Webaufgaben

RunPod is a cloud platform for AI and machine learning workloads that rents GPU compute by the second. It offers Pods for persistent GPU instances, Serverless endpoints that autoscale inference from zero, and multi-node Clusters, plus a Hub of ready-to-deploy open-source models and templates.

Container-Apps in Minuten in die Cloud deployen – ohne DevOps-Aufwand