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Beam

Sandboxes, persistent VMs and serverless GPUs for AI agents

Beam is a cloud platform for agents that offers persistent VMs, isolated sandboxes, inference endpoints and serverless GPUs. Sandboxes boot in seconds to run untrusted, agent-generated code, use custom images, and can fan out from one saved snapshot, for example for RL rollouts. The open-source runtime is beta9, and the site says the company is backed by Y Combinator.

E2B

Open-source sandboxes for running AI-generated code.

E2B gives agents secure, isolated cloud micro-VMs to execute code and commands — the execution runtime layer of the harness, used by many coding and data-analysis agents.

4 pros · 3 cons

Elastic sandboxes for running AI-generated code.

Daytona provides secure, OCI-compatible sandbox 'computers' that spin up in under 90ms — with snapshots for persistent agent state. In 2026 it moved core development to a private codebase while continuing to run as a commercial platform.

3 pros · 4 cons

Serverless cloud built for AI and agentic compute.

Modal lets teams run inference, fine-tuning and arbitrary agent workloads as serverless Python without managing infrastructure — a common substrate for harness backends at scale.

4 pros · 4 cons

Sources

  1. Website
  2. GitHub