DVM is the runtime environment for AI agents — a high-performance, scalable, and secure infrastructure designed to execute code generated by AI.
Why DVM
Every agent operates in its own fresh, isolated sandbox environment.
Provisioning, execution, and container teardown are handled automatically by default.
Grow effortlessly—launch agents instantly with powerful preconfigured sandboxes, or take full control by running your own custom environments using a simple Docker image.
Python, TypeScript, even Rust. Fully isolated, disposable VMs ready to execute tasks on demand.
Easily integrate code execution and shell access through a simple MCP server or SDK.
Pricing
Pick the plan that fits your needs today and scale seamlessly as you expand.
For those who are willing to try
For those who are willing to try
For those who are willing to try
For those who are willing to try
Enterprise Solutions
Interested in secure execution for AI or exploring custom integration options for your agents? Let's talk.
Experience
// Install the SDK: npm install @dvmcodes/sandbox-sdk
import { SandboxSDK } from '@dvmcodes/sandbox-sdk';
// Initialize the client with your API key
const client = new SandboxSDK({
apiKey: "your-api-key"
});
// Create a new sandbox environment
const sandbox = await client.sandboxes.create({
image: 'python:3.11',
resources: { cpus: 2, memory: '1GB' } // 2 CPUs, 1GB RAM
});
// Execute a command inside the sandbox
const result = await sandbox.execute(sandbox.id, {
command: 'python --version'
});
// Output the result
console.log(result.stdout); // Should display: Python 3.11Use Cases
Collect, analyze, and produce insights from large datasets. DVM handles long-running, persistent tasks with ease.
Create autonomous applications that respond to user input, connect with APIs, and deliver results in seconds.
Empower your team with agent-driven workflows for operations, compliance, and support.
Tech Stack
Secure, containerized environments launched on demand.
Optional persistent storage for extended tasks.
Smooth, reliable communication between agents.
Real-time visibility with full observability and audit logging.
Testimonials
“Running large-scale NLP experiments used to be a major headache. Every project required custom environments, manual setup, and constant debugging just to maintain consistency. With DVM, I can launch isolated environments in seconds and focus entirely on the research. The verifiable logs and MCP integration make it easy to trust what's running and connect our models with other tools or data sources. It's saved us days of setup time and significantly reduced compute costs. For anyone working on serious NLP or large-scale text analysis, DVM makes experimentation far smoother and faster.”
“Creating autonomous tools used to be a constant battle with infrastructure. Every test and iteration needed DevOps support, sandbox setups, and endless debugging across environments—it really slowed progress. After moving to DVM, I could prototype, test, and deploy AI agent logic all in one place, with no setup and zero overhead. The secure containers and modular tools let me focus on building the product, not wrestling with infrastructure. DVM doesn't just save time—it transforms what's possible with AI automation.”
“Integrating AI agents into complex e-commerce workflows used to mean building everything from scratch—custom logic, infrastructure setup, and manual scaling. It was powerful, but incredibly inefficient. With DVM, I can plug in agent logic just like any API. The platform takes care of execution, sandboxing, and scaling, letting me focus on creating smarter storefronts, automating backend tasks, and shipping faster.”
Start deploying autonomous software, running AI logic, and scaling your impact today.
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