Las mejores alternativas y competidores de OpenShip

Infraestructura cloud nativa para agentes que deja que los agentes de código gestionen todo el backend

Gratis / Código abiertoOpenclaw 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.

Gratis / Código abiertoRivet 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.

VM de Ubuntu persistentes en la nube para fábricas de agentes de IA

Entornos de desarrollo en la nube autoalojados y agentes de código con IA para empresas

Gratis / Código abiertoNube de producción en piloto automático para apps full-stack y de IA

EspecializadoIngeniero DevOps con IA que despliega y escala tus apps

Máquinas virtuales Linux en la nube para desarrolladores y sus agentes de IA

Gratis / Código abiertoMastra 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.

Gratis / Código abiertoAgentes de navegador y navegadores en la nube sigilosos

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.

Despliega aplicaciones en contenedores en minutos, sin carga de DevOps