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Beam

by BeamYC W22No ratings yet

Persistent cloud VMs, sandboxes and GPUs for AI agents

Visit beam.cloud

Linked from beam.cloud · checked 29 Oct

Tool type
Cloud VMs, sandboxes and GPU compute
Made for
Developers building AI agents
Runs on
Beam cloud, accessed through CLI, SDK or MCP
VMs, sandboxes and apps run on Beam's cloud; drive them via CLI, SDK, or MCP.
Last checked
1 Nov 2026
3 product sources

What it does

Beam is a cloud compute platform for AI agents and the developers who build them. You create persistent Linux virtual machines, disposable sandboxes, or serverless GPU endpoints, and drive them from Python or JavaScript SDKs, the Beam CLI, or an MCP server. Inputs are code, container images, and commands; outputs are running machines, desktops, preview URLs, and deployed inference APIs.

Typical uses include giving a coding agent a dev box with SSH and a durable disk, running untrusted agent-generated code in sandboxes that can fork from snapshots, and deploying Python models as autoscaling endpoints. Memory snapshots let paused machines resume with RAM and processes intact in about a second, and VM compute is billed per second only while the machine runs.

Beam suits developers and teams running agent workloads or GPU inference who want usage-based billing. Access starts with an install script that sets up the CLI and opens a browser sign-in. Reserved GPU clusters are arranged by contacting Beam, and the open-source Beta9 runtime does not include every Beam Cloud feature.

What it can do

  • Persistent Linux VMs with durable root disk, SSH, and stable URLs
  • Disposable sandboxes for running untrusted code, with GPU attachment and snapshot forking
  • Memory snapshots that pause and resume VMs with RAM and processes intact
  • Serverless GPU endpoints that deploy Python functions as autoscaling APIs
  • Egress proxy that keeps real API keys off the VM and allowlists outbound hosts
  • Linux desktop that agents can screenshot, click, and type into through the SDK or MCP

Works with

  • Cursor
  • Claude Code
  • Codex
  • GitHub Actions

Before you choose

  • VMs, sandboxes and serverless compute are billed per second or millisecond; storage is free up to 1 TB, then $0.021 per GB per month.
  • GPU clusters are reserved and arranged by contacting Beam.
  • The open-source Beta9 runtime does not include every Beam Cloud feature.

Listed under

Get started

Run the install script, which opens a browser sign-in.

  1. Run the install script at https://www.beam.cloud/install to install the Beam CLI and sign in through the browser.
  2. Choose a quickstart in the docs, such as creating a persistent VM for a coding agent.
  3. Connect a coding agent like Cursor, Claude Code, or Codex so it can create and operate VMs.
Create account and install CLI

Plans and prices

Prices in USD

Compute is billed per second while running; stopped VMs incur no compute charge. Unused monthly credits expire at renewal. Storage is free up to 1 TB, then $0.021 per GB per month.

Developer$20/moIncludes $20 in credits each month; unused credits expire at renewal.
  • $20 in credits each month
  • 1 seat
Team$89/moPer month, plus usage.
  • 3 seats included, $25 per additional seat
  • Live chat support

Source: beam.cloud/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

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What’s changed

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Where this comes from

How we research
Company website
beam.cloud: product, pricing and policy pages
YC directory mirror
Batch and company name
Social accounts
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Checked by a person
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Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.