How do their growth rates compare?

AgentSphere has a month-over-month growth rate of 0%; Kosa8 has 0%.

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. Kosa8: subscription. Every plan is free for 14 days with no card required, and each tier includes monthly Kosa8 Cloud credit for cloud sandboxes. Solo is $29/month (4 agents at once, 64 GB of sandboxes, $10 Cloud credit), Pro is $89/month (16 agents, 128 GB, $25 credit), Team is $169 per person per month from 3 people (48 shared agents, 256 GB, $40 credit per person) and Scale is $199 per person per month from 5 people (160 shared agents, 500 GB, $50 credit per person). Billing is cancel-any-time from the billing portal, and annual payment saves roughly 17%. Air-gapped and Enterprise terms are negotiated directly.

What are alternatives to AgentSphere and Kosa8?

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

AgentSphere vs Kosa8 — Traffic (0 vs 0), Pricing & Verdict

Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	AgentSphere	Kosa8
Official Domain	agentsphere.run	kosa8.com
Pricing Model	Contact for Pricing	subscription
Monthly Visits	0 (0)	0 (0)
MoM Traffic Delta	0 (0%)	0 (0%)
Primary Market & Share	🌐 Global (—)	🌐 Global (—)
Direct Visits / mo	0	0
User Rating	4.3	4.5
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