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Securely run AI-generated code in stateful sandboxes that run forever.

228 stars RustOthers Updated Aug 10, 2026

Documentation

foreverVM

==================================

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repoversion
cli![npm](https://www.npmjs.com/package/forevervm)
sdk![npm](https://www.npmjs.com/package/@forevervm/sdk)

foreverVM provides an API for running arbitrary, stateful Python code securely.

The core concepts in foreverVM are machines and instructions.

Machines represent a stateful Python process. You interact with a machine by running instructions

(Python statements and expressions) on it, and receiving the results. A machine processes one instruction

at a time.

Getting started


You will need an API token (if you need one, reach out to paul@jamsocket.com).

The easiest way to try out foreverVM is using the CLI. First, you will need to log in:

bash
npx forevervm login

Once logged in, you can open a REPL interface with a new machine:

bash
npx forevervm repl

When foreverVM starts your machine, it gives it an ID that you can later use to reconnect to it. You can reconnect to a machine like this:

bash
npx forevervm repl [machine_name]

You can list your machines (in reverse order of creation) like this:

bash
npx forevervm machine list

You don't need to terminate machines -- foreverVM will automatically swap them from memory to disk when they are idle, and then

automatically swap them back when needed. This is what allows foreverVM to run repls “forever”.

Using the API


typescript
import { ForeverVM } from '@forevervm/sdk'

const token = process.env.FOREVERVM_TOKEN
if (!token) {
  throw new Error('FOREVERVM_TOKEN is not set')
}

// Initialize foreverVM
const fvm = new ForeverVM({ token })

// Connect to a new machine.
const repl = fvm.repl()

// Execute some code
let execResult = repl.exec('4 + 4')

// Get the result
console.log('result:', await execResult.result)

// We can also print stdout and stderr
execResult = repl.exec('for i in range(10):\n  print(i)')

for await (const output of execResult.output) {
  console.log(output.stream, output.data)
}

process.exit(0)

Working with Tags


You can create machines with tags and filter machines by tags:

typescript
import { ForeverVM } from '@forevervm/sdk'

const fvm = new ForeverVM({ token: process.env.FOREVERVM_TOKEN })

// Create a machine with tags
const machineResponse = await fvm.createMachine({
  tags: { 
    env: 'production', 
    owner: 'user123',
    project: 'demo'
  }
})

// List machines filtered by tags
const productionMachines = await fvm.listMachines({
  tags: { env: 'production' }
})

Memory Limits


You can create machines with memory limits by specifying the memory size in megabytes:

typescript
// Create a machine with 512MB memory limit
const machineResponse = await fvm.createMachine({
  memory_mb: 512,
})

Frequently asked questions

What is forevervm?

forevervm is Securely run AI-generated code in stateful sandboxes that run forever.

How do I install forevervm?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is forevervm open source?

Yes — it is hosted on GitHub at https://github.com/jamsocket/forevervm and has 228 stars.

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