Build Autonomous Agents That Execute

AVM is the execution layer for AI agents.
High-performance, scalable and secure infrastructure to Run AI-Generated Code

AVM provides the execution layer that makes AI-generated code secure, compliant, and production-ready

Isolated execution environments

Persistent, fast, and scalable storage

Instant snapshots and rollbacks

Bring your own tools and libraries

Verifiable outputs with transparent logs

WHY AVM

Built for Developers Powering the Agent Economy

Zero-Risk Execution, Every Time

Each agent runs in its own clean, sandboxed environment

No more DevOps

Automatic provisioning, execution, and container destruction by default.

Built to Scale, Without the Heavy Lifting

Effortlessly scale—deploy agents instantly using powerful pre-built sandboxes, or unleash full control by running your custom environments with a simple Docker image.

Run Anything, Anywhere

Python, TypeScript, or even Rust. Fully isolated, disposable VMs for executing tasks on the fly

If it runs on your machine, It runs on AVM.

Integrate code execution and shell access via an easy to use MCP Server or SDK

Pricing

Ship fast, scale effortlessly

Choose the right plan for your needs and scale as you grow.

Free Tier

For those who are willing to try

$0

5 max concurrent sandboxes
1 GB persistent storage per sandbox
1 GB RAM
1 vCPU
Suits best for testing

Boot

For those who are willing to try

$10 /mo

10,000 credits
Suits best for Indie devs
Effective Rate: 36,000 credits/$1 credits

LIMITED TIME OFFER: -11.1%

Launch

For those who are willing to try

$100 /mo

4,000,000 credits
Suits best for Startups, MVPs, Hackers
Effective Rate: 40,000 credits/$1 credits

LIMITED TIME OFFER: -25%

Control

For those who are willing to try

$400 /mo

18,000,000 credits
Suits best for Mid-scale tools, Agent, Saas, Production use
Effective Rate: 45,000 credits/$1 credits

ENTERPRISE SOLUTIONS

Solutions built for companies of any size that need self-hosted or on-premise deployment.

Curious about secure execution for AI? Want to explore tailored integration options for your agents? Let’s connect.

EXPERIENCE

From Prototype to Production — Fast, Secure, with Full Interoperability

Sandboxes

Give your agent secure, fully working environment with literally 3 lines of code

Volumes

Attach persistent storage on the fly to your sandbox

Snapshots

Agent acting weird? Restore your sandbox to any point in time without data loss

Bring your own data

No RAG? No Problem. Upload your data and let your agent access it with ease


// npm install @avmcodes/sandbox-sdk

import { SandboxSDK } from '@avmcodes/sandbox-sdk';
      
const client = new SandboxSDK({
  apiKey: "your-api-key"
});

const sandbox = await client.sandboxes.create({
  image: 'python:3.11',
  resources: { cpus: 2, memory: '1024' } // 2 CPUs, 1GB memory
});

const result = await sandbox.execute(sandbox.id, {
  command: 'python --version'
});

console.log(result.stdout); // Python 3.11

USE CASES

Built to Power Real Autonomy

Data Pipelines

Scrape, analyze, and generate reports from massive datasets. AVM supports long-running, persistent jobs.

AI-Driven SaaS

Build autonomous tools that operate on customer input, integrate APIs, and deliver results in seconds.

Internal Automation

Give your team agent-powered workflows for ops, compliance, and support.

TECH STACK

AVM Infra

Execution Engine

Secure, containerized runtimes spun up per request.

Storage System

Optional persistent volumes for long runs

MCP Protocol

Seamless agent communication layer

Monitoring

Real-time observability and audit log

Before using AVM, running large-scale NLP experiments was a real headache. Every project needed custom environments, manual setups, and lots of debugging just to keep things consistent. With AVM, I can spin up 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 honestly saved us days of setup time and a good chunk of compute costs. For anyone doing serious NLP or large-scale text analytics, AVM makes experimentation way smoother and faster.

Marko Čuljak

PhD Student at TakeLab (University of Zagreb)

Building autonomous tools meant wrestling with infrastructure. Every test, every iteration required DevOps support, sandboxing setups, and constant debugging across environments. It slowed everything down. After switching to AVM, I could prototype, test, and deploy AI agent logic in one place, no setup, no overhead. The secure containers and modular tools gave me the freedom to focus on product logic, not infrastructure headaches. AVM doesn't just save time it changes how I think about what's possible with AI automation.

Stjepko Zrncic

iOS Developer in the Automotive Industry

Integrating AI agents into complex e-commerce workflows meant building from scratch, custom logic, infrastructure setup, manual scaling. It was powerful, but painfully inefficient. With AVM, I plug in agent logic like I would any API. The platform handles execution, sandboxing, and scaling so I can focus on building smarter storefronts, automating backend tasks, and shipping faster.

Renan Souza

Full-Stack Web Developer, E-commerce Specialist

Marko Čuljak

PhD Student at TakeLab (University of Zagreb)

Stjepko Zrncic

iOS Developer in the Automotive Industry

Renan Souza

Full-Stack Web Developer, E-commerce Specialist

Marko Čuljak

PhD Student at TakeLab (University of Zagreb)

Stjepko Zrncic

iOS Developer in the Automotive Industry

Renan Souza

Full-Stack Web Developer, E-commerce Specialist

Ready to Build What Agents Need?

Start deploying autonomous software, executing logic, and scaling your impact today.