How do their growth rates compare?

AgentSphere has a month-over-month growth rate of 0%; boat has +520.8%.

How does pricing compare?

AgentSphere: Contact for Pricing. No fixed public tiers. AgentSphere offers a free trial and positions itself around flexible, usage-based and enterprise plans (bursting compute, private deployment, SLAs); pricing is available on request. boat: Free Trial, Paid. Per-second billing with a $20/month minimum. The default 4 vCPU / 8 GB sandbox lists at $0.036/h, with smaller (2 vCPU / 4 GB) and larger (8 vCPU / 16 GB, 16 vCPU / 32 GB) sizes available. A 7-day free trial with a card provides 25 compute hours, and stopped sandboxes incur no compute charge while the disk is retained for at least 14 days.

What are alternatives to AgentSphere and boat?

Other tools in related categories include RunPod, Browser Use, Modal, BLACKBOX.AI, Browserbase.

AgentSphere vs boat — Traffic (0 vs 66.87K), Pricing & Verdict

Open AI Tools

AgentSphere vs boat — Traffic (0 vs 66.87K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	AgentSphere	boat
Official Domain	agentsphere.run	boat.dev
Pricing Model	Contact for Pricing	Free Trial, Paid
Monthly Visits	0 (0)	66.87K (66,870)
MoM Traffic Delta	0 (0%)	+56.1K (+520.8%)
Primary Market & Share	🌐 Global (—)	🇺🇸 United States (76.3%)
Direct Visits / mo	0	37.78K
User Rating	4.3	4.6
Supported Platforms	Website	Website

AgentSphere

Agent-native cloud sandboxes for secure AI code execution

MCP-integrated cloud sandboxes

Connect MCP-capable clients and agents directly to isolated cloud sandboxes to execute AI-generated code and handle files securely.

Fast, isolated execution

Cold-start latency advertised as low as roughly 100ms, with sandboxes deployed in-region and isolation backed by lightweight VMs such as Firecracker.

Stateful agents and multi-stage tasks

Support for long-running workflows with storage persistence, snapshot recovery, streaming output and event-triggered reactivation.

Security and compliance posture

SOC2 and GDPR compliance, access control, output tracing and full audit logging designed for running untrusted AI code in regulated environments.

Strengths & Pros

+Purpose-built for agentic workloads rather than retrofitted from a generic VM or container service
+MCP-first integration lowers the effort to wire execution into existing AI assistants and frameworks
+Strong isolation and compliance story (Firecracker-based VMs, SOC2/GDPR claims) suits regulated industries
+Model- and language-agnostic, with private deployment in your own cloud and support for stateful, long-running tasks