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Shares tags: ai, image-generation
CreateOS is a unified execution environment developed by NodeOps that enables developers and AI users to build, deploy, and scale applications efficiently. It supports one-click deployment and a template marketplace.
overview
CreateOS is a unified AI-assisted workspace tool developed by NodeOps that enables developers and AI users to simplify the full development lifecycle from ideation to deployment, scaling, and monetization. Its capabilities include automating environment setup and integrating decentralized application functionality.
quick facts
| Attribute | Value | |-----------|-------| | Developer | NodeOps | | Pricing | Freemium | | Platforms | Web | | API Available | Yes | | Integrations | Cursor, VS Code, Claude Code, ChatGPT, Gemini CLI, VS Code Copilot |
features
CreateOS provides a comprehensive platform for application development and deployment, leveraging automation and AI capabilities.
use cases
CreateOS is designed for various user personas who require efficient application development and deployment solutions.
pricing
CreateOS operates on a freemium pricing model, allowing users to start free with access to basic features. Advanced functionality and resource usage may require $NODE token for deployment and staking.
competitors
CreateOS positions itself as a decoupled, AI-orchestrated platform for application development, differing significantly from traditional cloud service providers.
e2b is an open-source cloud runtime providing sandboxed environments powered by Firecracker microVMs, specifically designed for safe execution of AI-generated code in AI agent workflows.
Like CreateOS, e2b offers secure, AI-focused execution environments with SDKs for programmatic control and ephemeral sandboxes, eliminating DevOps needs; it uses usage-based pricing ($/execution second) rather than freemium, targeting AI agent developers for short-lived code runs.[1][2][3]
Daytona delivers secure, elastic infrastructure for AI code execution with lightning-fast sandbox startup times under 200ms, stateful persistence, and Git-based provisioning via SDK.
Daytona mirrors CreateOS in providing no-DevOps sandboxes for AI-generated code deployment but emphasizes reproducible dev environments over one-click monetization; pricing starts at ~$19/user/mo for teams, appealing to enterprise AI agent infrastructure needs.[1][2]
Koyeb provides serverless containers with secure isolation, ephemeral sandboxes, and scale-to-zero for production-adjacent AI code execution in a pay-as-you-go model.
Similar to CreateOS, Koyeb enables seamless deployment of AI-generated code without DevOps via ephemeral environments and autoscaling; its pay-as-you-go pricing contrasts freemium, focusing on CI/CD pipelines and observable runs for developers moving prototypes to production.[2]
Modal specializes in serverless function-level execution optimized for AI pipelines and data workloads with fast cold starts, cloud volumes, and built-in secrets.
Modal competes with CreateOS by offering no-infra execution for AI tasks like CreateOS's unified environment, but is Python-centric with less emphasis on general deployment/monetization; features free tier plus usage-based pricing, suiting AI/ML workflows over broad image-generation apps.[2]
CreateOS is a unified AI-assisted workspace tool developed by NodeOps that enables developers and AI users to simplify the full development lifecycle from ideation to deployment, scaling, and monetization. Its capabilities include automating environment setup and integrating decentralized application functionality.
CreateOS operates on a freemium model, allowing users to start for free, with additional features and resource usage available through $NODE token.
Key features include one-click global deployment, AI-assisted project setup, a template marketplace, and built-in wallet and smart contract support.
Developers, AI users, and node operators who want efficient application development and deployment solutions should consider using CreateOS.
CreateOS differentiates itself by offering decentralized, one-click deployment without configuration requirements, whereas many alternatives focus on traditional centralized models.