# Moxt vs Team9

Moxt records 58,084 monthly visits with -38.3% month-over-month growth and Credits-based (workspace free; pay for AI usage) pricing. Team9 records 0 monthly visits with -100% growth and Freemium pricing.

| Metric | [Moxt](https://openaitools.app/tool/moxt) | [Team9](https://openaitools.app/tool/team9) |
| :--- | :--- | :--- |
| Website URL | https://moxt.ai | https://team9.ai |
| Categories | AI Agent, AI Assistant, AI Productivity Tools, AI Workflow | AI Agent, AI Assistant, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Credits-based (workspace free; pay for AI usage) | Freemium |
| Monthly Visits | 58,084 | 0 |
| MoM Growth Rate | -38.3% | -100% |
| Primary Market | China | Global |
| Direct Visits | 44,683 | 0 |
| Review Score | 3.9 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Moxt

Moxt positions itself as the place where a company stops being a group of people who use software and starts being a team of humans and agents working from one shared context. The product bundles four primitives: Workflow, which splits complex jobs across tuned specialist agents so a pipeline can run unattended for days; Agent Board, a Kanban-style view of what each agent has finished, is currently running, and is waiting on you to unblock; MiniApp, a builder for small internal tools backed by real databases that both humans and agents can operate; and an Agent-Native Workspace where Markdown, HTML, CSV and structured files keep agents grounded across sessions.

Rather than presenting a blank chat box, Moxt ships pre-orchestrated starting points. There are ready-made AI teammate roles such as a Social Media Manager, Cold Outreach Rep, Contract Reviewer and Competitor Watcher, plus templates for content production pipelines, product delivery, bug triage and fix, KOL outreach and startup Kanban boards. You can also pick a model per task from a catalog spanning Claude, GPT, Gemini, Qwen, GLM, Kimi, DeepSeek and image models, with the provider's public rates displayed alongside the credit cost.

The pricing philosophy is deliberately seat-free. Workspace access, member invitations, features and even the number of AI teammates are unlimited and free; the company says people cost little to host while AI work does not, so billing is purely consumption-based on AI credits. You buy credit packs (starting around $20 for 10,000 credits, with $1 equal to 100 credits) that never expire, and agent sandbox runtime is currently offered at no charge. This makes Moxt attractive for small teams that expect heavy agent usage but want to avoid per-seat licenses for occasional collaborators.

**Pricing & Plans:** 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.

- **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.
- **Multi-model access:** Pick any supported large language or image model per task, including Claude, GPT, Gemini, Qwen, GLM, Kimi and DeepSeek, with transparent per-model credit rates.

**Strengths:** No per-seat licensing: workspace, members and AI teammates are all free; Credits never expire and are priced against official model-provider rates; Ready-made agent roles and workflow templates remove the blank-page problem; Shared workspace memory keeps agents in context over long-running projects

**Limitations:** Costs scale with AI usage, so heavy agent pipelines can become expensive; Local agent execution on your own machine was still announced as coming soon; The breadth of primitives (workflows, mini apps, skills, pages) takes time to learn

[Profile (Markdown)](https://openaitools.app/tool/moxt.md)

## Team9

Team9.ai is built around a distinction that matters as agents move into production: chatting with a model is not the same as getting accountable work done. Team9 treats AI agents as an execution team rather than a prompt box. Each agent is given a role, context, an owner and an operating lane, and work is assigned from a single shared queue so priorities stay visible to both humans and agents.

The system is designed for long-running tasks. Team9.ai manages a full execution loop — plan, start, inspect, escalate, finish, summarise — and when an agent hits missing context, a broken environment or a risky decision, it raises a blocker rather than guessing. Every update, decision and handoff stays visible in a shared timeline, so you can review the trail later or step in only when a human call is needed. A control room shows who is working, what is queued, where compute is running and which outcomes are at risk, with usage, latency, errors and cost kept in view.

The other half of the product is reuse. Team9.ai captures the way your team ships — launch checklists, bug triage, PR review, customer research, reporting — as playbooks that encode the instructions, examples, files, tools and decision rules that make an agent effective. A playbook written once becomes available to every agent and teammate, so execution improves over time instead of resetting with each task. It works with leading models such as Claude, GPT, Gemini, Kimi and GLM, and is meant to sit alongside your existing tools as a coordination layer rather than replace them. It runs on Mac, with Free, Pro and Enterprise tiers.

**Pricing & Plans:** 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.

- **Role-based agents:** Create agents for engineering, growth, support, research, QA and ops, each with an owner, context and a clear lane for what it handles.
- **Shared execution board:** Humans and agents work from one queue, so priorities stay clear and nothing disappears into a chat thread.
- **Long-running task management:** Agents plan, start, inspect, escalate, finish and summarise; when they hit missing context or a risky decision they raise the issue instead of guessing.
- **Reusable playbooks:** Codify instructions, examples, files, tools and decision rules so a workflow written once is reusable by every agent and teammate.
- **Control room visibility:** Track local and cloud agents, queues, owners, status, latency, errors and cost from one command center.

**Strengths:** Treats agents as accountable workers with owners, status and a definition of done; Shared execution board keeps humans and agents on the same queue; Playbooks turn successful runs into reusable team memory; Blockers are escalated rather than silently guessed at

**Limitations:** Pricing model and agent limits may shift while Pro is free during beta; Some advanced capabilities (unlimited agents, on-premise, SLA) sit behind Enterprise sales; Too much structure for very small teams with only occasional agent use; Value compounds only if the team invests time in writing good playbooks and context

[Profile (Markdown)](https://openaitools.app/tool/team9.md)

## Frequently Asked Questions

### How do Moxt and Team9 compare in monthly traffic?

Moxt has 58,084 monthly visits, while Team9 has 0. Traffic estimates describe audience size, not product quality.

### 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [TraeWork](https://openaitools.app/tool/traework) | 2,785,249 | -7.8% | Contact for Pricing | ByteDance's AI-native workspace for natural-language task execution | [.md](https://openaitools.app/tool/traework.md) |
| 5 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 6 | [MiniMax Agent](https://openaitools.app/tool/minimax-agent) | 679,573 | +2.8% | Freemium | An AI supercompanion that handles tasks, code and creative work end to end | [.md](https://openaitools.app/tool/minimax-agent.md) |
| 7 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) |
| 8 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 9 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | No-code AI agents and agent teams for real business workflows | [.md](https://openaitools.app/tool/relevance-ai.md) |

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Source: https://openaitools.app/compare/moxt-vs-team9

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