OpenComputer
Rents out always-on virtual computers built specifically for AI agents to live on, so a team building something like an AI coding assistant doesn't have to build their own cloud infrastructure from scratch.
🔗 Visit OpenComputer
Description
If you're building a product where an AI agent needs to keep working on something over hours or days — writing code, running a long task, remembering state between sessions — a normal serverless function that times out after a few minutes won't do. Building your own persistent VM infrastructure for that is a real engineering project on its own, which is the gap OpenComputer fills.
OpenComputer provides always-on cloud VMs purpose-built for AI agents: no forced timeouts or teardowns, state preserved across sessions, runtime CPU/memory resizing, hibernation with instant wake-up, instant snapshots with rollback, and permanent URLs so an agent's environment can be reached the same way every time. It's aimed at teams building agent platforms comparable to Devin, Lovable or Bolt, and at developers wiring up Claude Code, Codex, opencode or Cursor into a persistent environment, with CLI deployment and Slack/webhook/cron integrations. Pricing is metered: $0.004/minute or $0.24/hour for a base 4GB/1vCPU/20GB configuration ($168.72/month if run continuously), plus $0.26/GB-month for extra storage, with custom sizing and volume discounts for larger needs.
💬 Our review
The short version: if you're building an agent platform or product and need your AI agents to have a real, persistent computer to work on rather than a function that dies after a few minutes, OpenComputer's managed VM layer saves you from building that infrastructure yourself.
It competes less with consumer AI coding tools and more with the choice of building on raw cloud infrastructure (AWS, GCP) versus a managed layer purpose-built for agent workloads — the pitch is that generic cloud VMs weren't designed with hibernation-and-instant-wake, agent-friendly snapshots, or permanent agent URLs in mind, while OpenComputer was. At $0.24/hour ($168.72/month for continuous use), it's priced like infrastructure, not like a SaaS tool, so it only makes sense if you're actually building something that runs agents persistently, not just using one occasionally. Good fit for teams building the next Devin/Bolt-style product; the wrong tool if you're just an individual developer using Claude Code or Cursor day-to-day without deploying agents to the cloud yourself.
💰 Pricing
📊 Global score
🤖 AI-enriched data
$0.004/minute ou $0.24/heure (config de base 4 Go RAM/1 vCPU/20 Go disque) ; $168.72/mois si continu ; stockage additionnel $0.26/Go-mois
Pros
VMs toujours actives sans coupure ni timeout forcé
Hibernation avec réveil instantané, snapshots et rollback
URLs permanentes pour joindre l'environnement d'un agent
Redimensionnement CPU/mémoire à la volée
Cons
Tarification infrastructure, pas pertinent pour un usage occasionnel
Nécessite de construire sa propre couche produit par-dessus
Marché naissant, peu de retours utilisateurs à grande échelle
Alternative viable = construire soi-même sur AWS/GCP (plus de travail, moins cher à très grande échelle)