# Moxt vs Team9

Moxt는 월간 방문 58,084, 전월 대비 성장률 -38.3%, Credits-based (workspace free; pay for AI usage) 가격 모델을 기록합니다. Team9는 월간 방문 0, 성장률 -100%, 무료+유료 가격 모델을 기록합니다.

| 지표 | [Moxt](https://openaitools.app/ko/tool/moxt) | [Team9](https://openaitools.app/ko/tool/team9) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://moxt.ai | https://team9.ai |
| 카테고리 | AI Agent, AI 어시스턴트, AI 생산성 도구, AI Workflow | AI Agent, AI 어시스턴트, AI 생산성 도구, AI 개발자 도구 |
| 가격 모델 | Credits-based (workspace free; pay for AI usage) | 무료+유료 |
| 월간 방문 수 | 58,084 | 0 |
| 전월 대비 성장률 | -38.3% | -100% |
| 주요 시장 | 중국 | 글로벌 |
| 직접 방문 | 44,683 | 0 |
| 리뷰 점수 | 3.9 | 4.1 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Moxt

Moxt is an AI-native collaboration workspace where human teammates and AI agents share the same documents, databases and context, so multi-step work can run unattended for days instead of minutes. It combines agent workflows, an agent progress board, mini internal apps and a shared memory layer, and is billed by AI usage rather than per seat.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/moxt.md)

## Team9

Team9.ai is a workspace for running a dependable AI agent team: assign real work to role-based agents, track progress on a shared board, and turn repeatable workflows into reusable playbooks.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/team9.md)

## 자주 묻는 질문

### Moxt과(와) Team9의 월간 트래픽은 어떻게 비교되나요?

Moxt의 월간 방문 수는 58,084이고, Team9는 0입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Moxt의 전월 대비 성장률은 -38.3%이며, Team9는 -100%입니다.

### 가격은 어떻게 비교되나요?

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: 무료+유료. 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.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/ko/tool/t) | 173,441,670 | +0.1% | 무료+유료 | 팀과 AI 에이전트가 함께 일을 완수하는 AI 워크스페이스 | [.md](https://openaitools.app/ko/tool/t.md) |
| 2 | [Muse](https://openaitools.app/ko/tool/muse-ai-1) | 45,751,822 | +228.3% | 가격 문의 | Muse is Meta's personal AI agent that takes on real everyday tasks — from sorting email and booking reservations to shopping, managing calendars and building fitness plans — using its own secure virtual computer in the c | [.md](https://openaitools.app/ko/tool/muse-ai-1.md) |
| 3 | [n8n](https://openaitools.app/ko/tool/n8n) | 4,522,449 | -7.4% | 무료+유료 | AI 에이전트와 기술 팀을 위한 오픈소스 워크플로 자동화 | [.md](https://openaitools.app/ko/tool/n8n.md) |
| 4 | [TraeWork](https://openaitools.app/ko/tool/traework) | 2,785,249 | -7.8% | 가격 문의 | 자연어로 작업을 실행하는 ByteDance의 AI 네이티브 워크스페이스 | [.md](https://openaitools.app/ko/tool/traework.md) |
| 5 | [WorkBuddy](https://openaitools.app/ko/tool/workbuddy) | 2,341,262 | +43.9% | 무료+유료 | 한 문장을 완성된 오피스 결과물로 바꾸는 AI 업무 파트너 | [.md](https://openaitools.app/ko/tool/workbuddy.md) |
| 6 | [MiniMax Agent](https://openaitools.app/ko/tool/minimax-agent) | 679,573 | +2.8% | 무료+유료 | MiniMax Agent is MiniMax's general-purpose AI workspace, also branded MiniMax Code, built around the idea of an always-available supercompanion. It combines a multi-agent system, a model selector, plugins, skills and sch | [.md](https://openaitools.app/ko/tool/minimax-agent.md) |
| 7 | [LobeHub](https://openaitools.app/ko/tool/lobehub) | 654,548 | -25% | 무료+유료 | 팀 채팅에 상주하는 AI 에이전트 | [.md](https://openaitools.app/ko/tool/lobehub.md) |
| 8 | [Eigent AI](https://openaitools.app/ko/tool/eigent-ai) | 575,703 | +1.4% | 무료+유료, 무료 체험, 가격 문의 | 브라우저·파일·앱 작업을 대신하는 오픈소스 데스크톱 AI 워크포스 | [.md](https://openaitools.app/ko/tool/eigent-ai.md) |
| 9 | [Taskade](https://openaitools.app/ko/tool/taskade) | 539,714 | -9.4% | 무료+유료 | Taskade is an AI workspace that turns a single prompt into working business apps, complete with AI agents, automations, databases, tasks and docs — no code required. | [.md](https://openaitools.app/ko/tool/taskade.md) |
| 10 | [Relevance AI](https://openaitools.app/ko/tool/relevance-ai) | 192,083 | -15.5% | 무료 체험, 가격 문의 | 실제 업무 워크플로를 위한 노코드 AI 에이전트와 팀 | [.md](https://openaitools.app/ko/tool/relevance-ai.md) |

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출처: https://openaitools.app/ko/compare/moxt-vs-team9

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)