How do their growth rates compare?

Moxt has a month-over-month growth rate of -38.3%; Team9 has -100%.

How does pricing compare?

Moxt: Credits-based (workspace free; pay for AI usage). Free workspace with unlimited members, features and AI teammates. AI work is paid with non-expiring credits (from $20 / 10,000 credits; $1 = 100 credits) at rates aligned to each model provider's public pricing. Cloud agent sandbox is free for now; local agents are coming soon. Team9: Freemium. Freemium with a clear ladder: a Free plan at $0/month for basic AI workspace access and community support; Pro at $19/month adding an agent instance, priority support and advanced collaboration tools (free during beta); and Enterprise with custom pricing for unlimited agents, dedicated support and SLA, custom integrations and on-premise deployment.

What are alternatives to Moxt and Team9?

Other tools in related categories include Notion, Muse, n8n, TraeWork, WorkBuddy.

Moxt vs Team9 — Traffic (58.08K vs 0), Pricing & Verdict

Open AI Tools

Moxt vs Team9 — Traffic (58.08K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Moxt	Team9
Official Domain	moxt.ai	team9.ai
Pricing Model	Credits-based (workspace free; pay for AI usage)	Freemium
Monthly Visits	58.08K (58,084)	0 (0)
MoM Traffic Delta	-36.09K (-38.3%)	-2.07K (-100%)
Primary Market & Share	🇨🇳 China (73.3%)	🌐 Global (—)
Direct Visits / mo	44.68K	0
User Rating	3.9	4.1
Supported Platforms	Website	Website

Moxt

An AI-native workspace where humans and agent teams ship long-horizon work together

Workflow orchestration

Split complex work across specialist agents in staged pipelines that run unattended for days, with each stage handled by a tuned role and the key approval gates left to humans.

Agent Board

A board view showing every agent's progress at a glance so you can see what is done, what is running, and what needs a human decision, then jump in to steer without restarting the work.

MiniApp builder

Build internal tools backed by real databases that both people and agents can use, such as KOL trackers, sales dashboards, task boards and product timelines.

Agent-native workspace

A shared memory layer of Markdown, HTML, CSV and structured files that keeps every agent grounded in the same context across sessions.