
Deploy managed AI agents as persistent, always-on cloud VMs with steerable execution and permanent HTTP endpoints.
Deploy managed AI agents as persistent, always-on cloud VMs with steerable execution and permanent HTTP endpoints.
OpenComputer is a managed platform that turns a prompt into a deployable, always-on AI agent backed by a real persistent virtual machine. Instead of ephemeral sandboxes that spin up and disappear, each agent runs on a full-OS VM with elastic memory and CPU, checkpoints, and hibernation, all reachable through a permanent HTTP address. Developers install a CLI, run oc agent init and oc agent deploy from any coding agent (Claude Code, Codex, Cursor, opencode), and get a live agent URL wired up for Slack, cron, and webhooks. The service is purpose-built for teams shipping the next generation of B2B agent platforms — think Lovable, Devin, or Bolt — where users need a computer that remembers state across sessions rather than a throwaway script sandbox.

OpenComputer is a platform that enables users to deploy managed AI agents as cloud-based virtual machines (VMs) that are always on, with customizable execution capabilities and permanent HTTP endpoints for easy interaction. This service is ideal for developers looking to leverage AI in scalable applications.
OpenComputer simplifies the deployment of AI agents by providing a user-friendly interface for creating and managing cloud-based virtual machines (VMs). These VMs run continuously, allowing developers to maintain persistent operations without downtime, which is essential for applications requiring real-time data processing or continuous learning.
Managed AI Agents: Users can quickly spin up AI agents tailored to specific tasks, such as data analysis, customer service automation, or machine learning model training.
Always-On Cloud VMs: The platform offers reliable cloud infrastructure where VMs are persistently running. This ensures that applications remain accessible, improving user experience and operational efficiency.
Steerable Execution: Developers can customize the execution parameters of their AI agents, allowing for flexibility in how tasks are performed. For example, an AI agent can be programmed to respond to user inputs in real-time or execute batch processes periodically.
Permanent HTTP Endpoints: Each deployed AI agent is assigned a permanent HTTP endpoint, making it easy to integrate with web applications or other services. This feature enables seamless interaction between users and AI agents, facilitating data requests and responses.
OpenComputer operates by utilizing Persistent VMs for ongoing access to virtual machines that maintain state across sessions. It features Elastic Compute for dynamic resource allocation, Instant Checkpoints for quick recovery, and easy deployment with One-Prompt Deploy. This system supports long-running tasks and seamless integration with tools like Slack.
OpenComputer is an innovative platform designed for developers and teams that require robust virtual machine (VM) solutions. Here’s how it works:
Persistent VMs: These are always-on virtual machines that provide full access to the filesystem and operating system. They retain the state of agents, ensuring that users can pick up exactly where they left off, even after a restart. This is particularly beneficial for applications that need to remember installed dependencies and files across user sessions.
Elastic Compute: OpenComputer allows users to dynamically resize memory (between 1-16 GB) and virtual CPUs while the VM is running. This feature is crucial for matching resources to workload demands, making it efficient for fluctuating tasks like data analysis or web scraping.
Instant Checkpoints: With the ability to snapshot the state of any VM, users can fork or roll back to previous states in seconds. This capability is especially useful for developers testing new features or making risky changes, as it allows for safe experimentation without a complete teardown.
One-Prompt Deploy: This feature simplifies the deployment process. By pasting a single prompt into tools like Claude Code, Codex, or Cursor, users can install the Command Line Interface (CLI), log in, initialize, and fully deploy an agent in one step, streamlining the setup process.
Permanent Agent URLs: Each deployed agent receives a stable HTTP endpoint that can be accessed via platforms like Slack or cron jobs. This ensures that teams can invoke the same agent state from multiple locations, facilitating collaboration and efficiency.
Long-Running Autonomous Tasks: OpenComputer supports tasks that need to persist context over long durations without timeouts. This is ideal for operations such as overnight research or ongoing data scraping.
Rapid Agent Prototyping: Users can convert natural-language prompts into live, functional agents without the hassle of provisioning infrastructure, greatly accelerating development cycles.
Safe Rollbacks for Autonomous Coders: Developers can utilize checkpoints to create a fork of an agent VM before making significant changes, allowing for instant restoration if issues arise, thus maintaining a stable development environment.
OpenComputer features Persistent VMs for always-on virtual machines, Elastic Compute for dynamic resource adjustment, Instant Checkpoints for quick state recovery, One-Prompt Deploy for seamless agent installation, and Permanent Agent URLs for stable HTTP access. These features enhance flexibility, efficiency, and ease of use for deploying AI agents.
OpenComputer offers several powerful features designed to streamline the deployment and management of AI agents:
Persistent VMs: These virtual machines maintain their state even after restarts. This means that users can leave their work and return without losing any progress, as the full filesystem and operating system remain accessible. For example, if an AI training session is interrupted, the VM can resume exactly where it left off.
Elastic Compute: One of the standout features is the ability to resize memory (from 1GB to 16GB) and virtual CPUs (vCPUs) while the VM is running. This flexibility allows users to optimize performance based on current workload demands, ensuring that resource allocation matches the requirements of the agent's tasks, which is crucial during peak usage times.
Instant Checkpoints: Users can create snapshots of any VM state in seconds, allowing for rapid forking or rollback. This feature is particularly useful in development environments where experimentation is common. If an agent run results in errors, users can quickly revert to a known good state without needing to tear down and rebuild the environment.
One-Prompt Deploy: This feature simplifies the deployment process. By pasting a single prompt into tools like Claude Code, Codex, or Cursor, users can install the Command Line Interface (CLI), log in, initialize, and deploy an agent seamlessly. This drastically reduces setup time and complexity.
Permanent Agent URLs: Each deployed agent is assigned a stable HTTP endpoint. This makes it easy to integrate with other services, such as Slack, webhooks, and cron jobs. Having a consistent URL means that agents can be reliably accessed and controlled without needing to manage changing addresses.
OpenComputer is designed for a diverse audience, including B2B companies that require customizable virtual machines, developers needing long-running autonomous tasks, and teams using Slack or cron for automation. It also benefits those who need rapid prototyping of AI agents and safe rollback capabilities for coding projects.
OpenComputer serves multiple user groups effectively:
B2B Agent Platforms: Businesses utilizing Lovable, Devin, or Bolt-style products can leverage OpenComputer to create personalized virtual machines (VMs). These VMs can retain user-specific settings, installed dependencies, and files across sessions, enhancing user experience and productivity.
Long-Running Autonomous Tasks: For tasks that require extended execution times—like data scraping, research, or process refactoring—OpenComputer provides a solution that allows processes to persist context without the limitations of sandbox timeouts. This is crucial for developers working on projects that need continuous operation over several hours.
Slack & Cron-Triggered Agents: OpenComputer allows the integration of agents with Slack applications or cron jobs. This enables teams to invoke the same agent state from anywhere, facilitating collaboration and efficiency. This feature is especially useful for remote teams that require consistent access to shared workflows.
Rapid Agent Prototyping: The platform enables developers to turn natural-language prompts into live, invokable agents directly from IDEs like Claude Code or Cursor. This means no extensive infrastructure setup is needed, allowing for quicker iterations and testing phases.
Safe Rollbacks for Autonomous Coders: Developers can create checkpoints before making significant changes to agent VMs. This functionality allows immediate restoration of the previous state if the agent's environment becomes unstable or breaks, minimizing downtime and frustration.
OpenComputer is a paid product with pricing that varies based on subscription plans and features. For the most accurate and up-to-date pricing information, visit the official OpenComputer website.
OpenComputer provides a range of subscription options, each designed to cater to different user needs. The pricing typically starts at a basic tier, which includes essential features, and progresses to more advanced tiers that unlock additional functionalities, such as enhanced support and more extensive customization options.
For example, the basic plan may be priced around $10 per month, while the premium plan could range from $30 to $50 per month, depending on the features included. It's essential to evaluate your specific requirements, such as the number of users, data storage needs, and the level of customer support desired, to choose the most suitable plan.
Before committing, potential users may benefit from exploring any available free trials or money-back guarantees. This allows you to test the platform's capabilities and determine if it aligns with your expectations and workflow.
To get started with OpenComputer, visit opencomputer.dev/agentdeploy to sign up for an account. Once registered, you can begin exploring the platform's features and capabilities designed for deploying and managing agents effectively.
To initiate your journey with OpenComputer, head to opencomputer.dev/agentdeploy and complete the sign-up process. Registration typically requires basic information such as your email address and a secure password. After signing up, you will receive a confirmation email. Click the link in the email to verify your account.
Once you are logged in, take time to explore the user dashboard. OpenComputer offers a range of features that facilitate the deployment and management of agents. Key functionalities include:
For a seamless experience, refer to the official documentation available on the site, which includes tutorials, FAQs, and troubleshooting guides.
By following these steps and utilizing the resources provided, you can effectively get started with OpenComputer and leverage its capabilities to optimize your operations.
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