Sanbox vs CubeSandbox
Detailed side-by-side comparison to help you choose the right tool
Sanbox
🔴Developeragent-infrastructure
Sanbox by Sanlabs runs AI agents in isolated, resumable MicroVM sandboxes with persistent filesystems, live run events, network ACLs, and self-hosting options.
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CustomCubeSandbox
🔴Developeragent-infrastructure
Open-source sandbox service from Tencent Cloud that spins up hardware-isolated micro-VMs for AI agents in under 60ms, with E2B SDK compatibility for drop-in migration.
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CustomFeature Comparison
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Sanbox - Pros & Cons
Pros
- ✓Kernel-level MicroVM isolation is a real boundary, not shared-kernel containerization
- ✓Snapshots make agent runs pausable and resumable from the exact state — inspectable mid-run
- ✓EU data residency, on-prem, and VPC deployment options cover compliance-sensitive teams
- ✓Live structured event stream removes the need to poll for run status
- ✓Reusable run templates pin the approved image, model, limits, and egress policy in one place
Cons
- ✗Pricing is not published — access requires a signup and likely sales conversation
- ✗No MCP support currently — integration is CLI, template, and run-based only
- ✗Newer entrant; smaller ecosystem than E2B, Modal, or Daytona in adapters and community examples
- ✗Documentation on runner adapter contracts is thin outside the OpenCode reference
- ✗CLI-first workflow may feel heavier than one-line SDK calls for quick prototyping
CubeSandbox - Pros & Cons
Pros
- ✓Hardware isolation (dedicated guest kernel) is a real security win over Docker
- ✓Sub-60ms start and <5MB overhead make thousands of concurrent sandboxes viable
- ✓E2B SDK drop-in means zero-code migration for existing users
- ✓Snapshot/rollback is a killer feature for RL training and SWE-Bench rollouts
- ✓Apache 2.0, self-hosted, and CNCF-listed — no vendor lock-in
Cons
- ✗Self-hosting on Linux + KVM is real ops work vs. a managed service
- ✗Windows/macOS hosts need a Linux VM in the loop for local dev
- ✗No MCP server yet — integration is via the REST API/SDK only
- ✗New project relative to E2B, so ecosystem/tooling is thinner
- ✗Cluster deploy needs Terraform familiarity for anything past single-node
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