How do their growth rates compare?

AgentSphere has a month-over-month growth rate of 0%; exe.dev has -26.4%.

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. exe.dev: Freemium, Paid. Personal plans start at $15/month for 2 vCPU and 4 GiB of pooled memory, scaling to $155/month for 16 vCPU and 32 GiB. The Work plan is $75/month regular (intro $37.50/month for the first three months) with SSO, unlimited users and extra pool resources billed hourly. Enterprise pricing is custom, and a 7-day free trial is available.

What are alternatives to AgentSphere and exe.dev?

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

AgentSphere vs exe.dev — Traffic (0 vs 60.1K), Pricing & Verdict

Open AI Tools

AgentSphere vs exe.dev — Traffic (0 vs 60.1K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	AgentSphere	exe.dev
Official Domain	agentsphere.run	exe.dev
Pricing Model	Contact for Pricing	Freemium, Paid
Monthly Visits	0 (0)	60.1K (60,103)
MoM Traffic Delta	0 (0%)	-21.61K (-26.4%)
Primary Market & Share	🌐 Global (—)	🇺🇸 United States (69.4%)
Direct Visits / mo	0	40.78K
User Rating	4.3	4.3
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