CubeSandbox vs GBrain: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CubeSandbox and GBrain — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CubeSandbox

TencentCloud

Free

Open-source, hardware-isolated sandbox service for AI agents — sub-60ms cold start, <5MB overhead, E2B-SDK compatible.

Sub-60ms Cold Start: Average <60ms boot time and <5MB memory overhead per instance, so a single node can run thousands of agents.
Hardware-Level Isolation: Each sandbox gets its own Guest OS kernel on RustVMM/KVM — no Docker shared-kernel escape surface for LLM-generated code.
E2B SDK Compatibility: Drop-in replacement for the E2B SDK — swap one URL env var and existing agent code runs unchanged.
AutoPause / AutoResume: Idle sandboxes automatically suspend and wake on the next request for aggressive cost optimization.
Snapshot, Clone & Rollback: CubeCoW copy-on-write engine takes 100ms-granularity checkpoints so agents can fork, roll back, or replay any saved state.
Credential Vault: Agents call LLMs and external APIs through a proxy — keys never enter the sandbox, model context or logs.
Egress Control: Per-sandbox domain allowlists with instant block on unauthorized egress and full audit logs for compliance.
Web Console & Templates: In-browser dashboard at :12088 for managing sandboxes, nodes, version matrix and OCI-image-based templates.

Running Untrusted LLM Code: Execute Python/shell that a model wrote without risking the host through hardware isolation.
E2B Migration: Move existing E2B-based agent workloads to on-prem/self-hosted infrastructure with zero code changes.
High-Density Agent Fleets: Host thousands of concurrent agent sandboxes on a single node thanks to sub-60ms boot and 5MB overhead.
Agent Snapshotting: Save state before a risky tool call and roll back on failure using CubeCoW snapshots.
Compliance-Sensitive Agents: Enforce egress domain allowlists and audit logs for regulated environments.
Self-Hosted Agent Infra: Deploy a multi-node cluster with the built-in Terraform module for private-cloud AI agent workloads.

Paid

A shared team brain that syncs memory, connected apps and scheduled skills to ChatGPT, Claude, Cursor and any AI your team uses.

Shared Team Chat: The whole team prompts in one shared chat where anyone can follow up and see how answers were worked out.
Plain-File Memory: Team knowledge lives as markdown notes in folders you can open, correct and copy, and every AI answers from the fix.
Connect Once Credentials: Connect Gmail, Calendar, Drive, Stripe and more once; AIs receive call results, never passwords.
Per-AI Permission Levels: Set each AI to Off, Read, Draft, Manage or Full per account, with every action on one record.
Scheduled Skills: One-click skills like Team Standup, Customer Comms Tracker and Inbox Cleanup run daily or once.
Multi-AI Sync: Sync the same memory to Claude, ChatGPT, Cursor, Claude Code, Codex and your terminal.
Tools Plan: A password manager for AI that puts your applications into every AI you use for individuals.

Team Standups: Summarize the team's work across GitHub, Gmail and Calendar and email it out each morning.
Customer Follow-Up: Track customers and prospects owed a reply and flag overdue ones daily.
Issue Triage: Turn customer bugs and requests from email and support chats into deduplicated tracker issues.
Meeting Prep: Build sourced briefs on candidates, guests or investors before you meet.
Inbox Cleanup: Archive mail you never read on a schedule.
Pricing Decisions: Combine call notes and billing data in a shared chat to evaluate a price change.