E2B and AgentVM both give agents remote compute, but they start from different abstractions. E2B exposes secure cloud sandboxes with Linux, filesystem operations, commands, PTYs, internet access, templates, and explicit sandbox timeouts.12 AgentVM exposes managed Linux servers and MCP Sandboxes through a control plane built around SSH access, provider-backed machine lifecycle, bounded runtime, and machine-payable operations.34
That distinction matters more than a checklist of overlapping features. If the unit of work is 'run this code safely and give me the result,' a sandbox API is a natural fit. If the unit of work is 'give this agent a temporary computer it can operate like a server,' AgentVM is closer to the underlying mental model.
E2B starts with the sandbox process model
E2B's SDK centers on creating a sandbox, running commands or code, manipulating files, and connecting back to the same sandbox. Its current SDK documentation also exposes sandbox timeouts and optional network controls, which makes the lifecycle explicit for agent code.12
That is attractive for code interpreters, evaluation harnesses, coding assistants, and products where the application wants a programmable execution primitive rather than a long-lived server administration surface. Templates can package a repeatable environment before the agent starts working.
AgentVM starts with a bounded remote machine
AgentVM's standard compute flow is SSH-first. A user or harness chooses a provider-backed plan, Linux image, region, runtime boundary, and SSH key, then receives a machine that can be inspected and operated independently of a single SDK process.3
The control plane also separates provider credentials from the caller. Users do not need to hand an agent a Hetzner, AWS, or OVH credential just to acquire a machine through AgentVM. The goal is a managed computer with a lifecycle boundary rather than a sandbox object embedded inside one application.
Machine payments are a different integration point
AgentVM publishes machine-payable bounded compute paths through its MPP surface. An agent can discover an approved VM resource, receive an HTTP payment challenge, authorize the bounded purchase, and continue the workflow without first being provisioned a cloud-provider API key.4
E2B's public SDK documentation is organized around its platform SDK and sandbox credentials rather than this machine-payment flow.1 That does not make one approach universally better; it means AgentVM is especially relevant when autonomous purchasing is part of the infrastructure problem rather than something the surrounding application handles separately.
Choose based on what the agent should own
Choose E2B when you want a purpose-built code sandbox API, fast execution primitives, template-driven environments, and application-level control of commands and files. It is particularly natural when your product already owns the orchestration loop and needs a secure place to execute generated code.
Choose AgentVM when the agent should receive a server-shaped resource with SSH, a provider-backed lifecycle, a hard runtime boundary, optional managed endpoint behavior, and an MPP purchase path. AgentVM is less about hiding the existence of a machine and more about making that machine safe and purchasable for an agent.
The practical dividing line
A useful test is whether your application wants to call a sandbox or delegate work to a computer. Calling a sandbox favors E2B's process-and-filesystem interface. Delegating to a computer favors AgentVM's server-first model, especially when the task may install services, expose an endpoint, use SSH tooling, or outlive the client process that started it.
Teams can also use both patterns in one architecture: sandboxes for high-volume untrusted execution and bounded VMs for tasks that need a fuller operating environment or machine-payment boundary.