Agent-Sandbox

https://github.com/agent-sandbox/agent-sandbox

Agent-Sandbox is an open-source (Apache-2.0) sandbox platform for AI agents that runs self-hosted on Kubernetes. It wraps the kubernetes-sigs/agent-sandbox foundation behind a REST API and an MCP server, and supports code execution, browser use, computer use, and shell access. It is E2B protocol and SDK compatible, so existing E2B-based agents can use it as a drop-in replacement.

Pricing model Open-source/self-hosted software; no product-level billing. Users pay their underlying Kubernetes infrastructure.
Pricing The headline compute price as the provider states it. Sorting ranks prices stated per vCPU over time, converted to hourly. Other pricing models sort after, unranked. No published headline rate (open-source/self-hosted software)
Free while idle Whether a stopped, paused, or sleeping sandbox costs nothing.
Elastic Resources flex with what the sandbox actually uses, and the bill follows: yes when the provider bills on active or observed use, no when capacity is reserved or allocated and billed while it runs.
Memory snapshots Whether RAM state survives a pause and resume, not just disk.
Wake on request Whether a stopped sandbox wakes automatically on inbound traffic.
Start / resume Typical time from create or resume to running. Sorting ranks stated times, converted to seconds; claims with no figure sort after, unranked.
Max runtime The longest a sandbox may run.
Isolation The isolation technology between sandboxes.
GPUs Whether GPU instances are available for sandboxes.
Docker Whether Docker containers can run inside the sandbox.
SDKs

✓ yes · ✕ no · – no cited public fact.

Sources

Last verified 2026-08-19. Corrections land through the update log.