CubeSandbox

What is CubeSandbox?

CubeSandbox is an infrastructure service for running AI agents and the code they generate inside hardware-isolated MicroVMs. It is built on RustVMM and KVM, and each sandbox gets its own guest kernel, so LLM-written code does not share a kernel with the host or with other tenants. The project reports an average cold start under 60ms and less than 5MB of extra memory per instance, which lets one node hold thousands of sandboxes. Sandboxes can pause automatically when idle, resume on the next request, and be snapshotted, cloned or rolled back. A credential vault and the CubeEgress proxy keep secrets out of the sandbox and enforce domain allowlists with audit logs. Because it speaks the E2B SDK interface, teams can switch from E2B by changing one environment variable. You run it yourself on bare metal, Kubernetes with Helm, or Tencent Cloud with Terraform. The project lists no pricing or paid plans.

Use cases

• Run LLM-generated code safely
• Host long-running AI agent processes
• Replace E2B with a self-hosted service
• Fork agent states for tree search
• Run browser automation in isolation
• Support reinforcement learning rollouts

Who it's for

• AI agent developers
• Platform engineers
• Infrastructure teams

Why use CubeSandbox

• Each sandbox has its own kernel, which removes the shared-kernel escape risk of plain containers.
• Very fast starts and low memory use make it practical to give every agent task a fresh sandbox.
• Existing E2B client code can point at CubeSandbox by changing one environment variable.
• Secrets stay in the control plane, out of the sandbox, the model context and logs.
• Snapshots let agents roll back or branch into several exploration paths.

CubeSandbox features

• MicroVM sandboxes with a dedicated guest kernel on RustVMM and KVM
• Cold start under 60ms using snapshot clones
• Under 5MB memory overhead per sandbox
• E2B SDK drop-in compatibility
• Snapshot, clone and rollback of sandbox state
• Auto-pause and auto-resume for idle sandboxes
• Credential vault and CubeEgress domain filtering with audit logs
• Template system that builds sandboxes from OCI images
• Web console for sandboxes, templates and nodes
• Multi-node clusters orchestrated by CubeMaster
• Pluggable volume storage including S3 and host mounts

CubeSandbox integrations

• E2B SDK
• Kubernetes
• Helm
• Terraform
• Tencent Cloud
• S3
• OpenClaw

How to get started with CubeSandbox

1. Install CubeSandbox with the quick start, a self-build on one machine, Helm on Kubernetes, or Terraform on Tencent Cloud.
2. Create a template from an OCI image or pick a preset from the Template Store.
3. Point your E2B SDK client at the CubeSandbox endpoint and request a sandbox.
4. Run code or an agent inside the MicroVM; idle sandboxes pause and resume when called again.
5. Snapshot, fork or roll back state, and manage nodes and sandboxes from the web console.

CubeSandbox limitations

• You deploy and operate it yourself; no hosted service is described
• Cross-node pause and resume is a preview feature
• Default Terraform setup is a proof-of-concept size and supports few sandboxes
• GPU sandboxes and full E2B API parity are still roadmap items

CubeSandbox pricing

CubeSandbox is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

CubeSandbox alternatives

The main CubeSandbox alternatives listed on Debuly are E2B, Modal, SPACE, LangChain, Claude Managed Agents and Cognee. The table compares pricing and platforms; order is A–Z.

1. 

   Claude Managed Agents

   Anthropic's hosted agent harness for long-running, asynchronous tasks: define an agent, pick a sandbox, start a session and stream results.

   Developer platformsAutomation and agentsCoding
   PaidVisit Claude Managed Agents (official site)
2. 

   Cognee

   Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.

   Developer platformsAutomation and agentsResearch and search
   FreemiumVisit Cognee (official site)
3. 

   E2B

   Cloud sandboxes where AI agents run code safely, with Python and JavaScript SDKs and per-second usage billing.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit E2B (official site)
4. 

   LangChain

   Open-source framework for building LLM agents, paired with LangSmith for tracing, evals and agent deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit LangChain (official site)
5. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)
6. 

   SPACE

   Open-source sandbox platform from Perplexity that runs agent and user code in isolated Firecracker microVMs through an HTTP API.

   Developer platformsCodingAutomation and agents
   Open sourceVisit SPACE (official site)

CubeSandbox FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from cubesandbox.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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