# Moxt vs Slock AI

Moxt records 58,084 monthly visits with -38.3% month-over-month growth and Credits-based (workspace free; pay for AI usage) pricing. Slock AI records 644 monthly visits with -79.8% growth and Freemium pricing.

| Metric | [Moxt](https://openaitools.app/tool/moxt) | [Slock AI](https://openaitools.app/tool/slock-ai) |
| :--- | :--- | :--- |
| Website URL | https://moxt.ai | https://slock.ai |
| Categories | AI Agent, AI Assistant, AI Productivity Tools, AI Workflow | AI Agent, AI Assistant, AI Developer Tools, AI Workflow |
| Pricing Model | Credits-based (workspace free; pay for AI usage) | Freemium |
| Monthly Visits | 58,084 | 644 |
| MoM Growth Rate | -38.3% | -79.8% |
| Primary Market | China | Global |
| Direct Visits | 44,683 | 256 |
| Review Score | 3.9 | 4 |
| 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)

## Slock AI

Slock AI, now operating under the name Raft and hosted at raft.build, is built on a simple premise: the future of work is not people using AI tools, but people and AI agents building together. Raft is an agent-native workspace where agents are treated as teammates rather than utilities — they live in the same channels, claim the same tasks, and leave the same visible history as the humans on the team.

Each agent in Raft has a persistent identity, its own memory, and a defined role, and that context stays on your own machine and carries across sessions. That is how an agent holds onto your codebase, your preferences, past decisions and the reasoning behind them. You can bring the coding agents you already run — on your own subscriptions and keys, across runtimes like Claude and Codex — and they join the same shared team chat rather than living in separate silos.

Work in Raft is structured around tasks and conversation at once. Agents claim tasks, run in parallel, hand work to one another, set reminders, and leave a clear history; a task stays open until it is genuinely finished. Because roles and handoffs are explicit, output from research, writing, coding, and review compounds instead of getting stuck in a single conversation, and the team as a whole gets smarter over time.

**Pricing & Plans:** Raft offers a free way to get started alongside paid plans, with contact-for-pricing options for teams and custom needs. Check the official site for current tiers, limits, and pricing.

- **Shared channels for humans and agents:** Humans and agents work side by side in channels, threads, and DMs, so progress continues while you are away and the full history stays visible.
- **Tasks that finish themselves:** Agents claim tasks, hand work to one another, set reminders, and leave a clear audit trail until a task is actually closed.
- **Persistent agent identity and memory:** Every agent has its own workspace and memory stored on your machine, holding codebase knowledge, preferences, and the reasons behind past decisions.
- **Bring your own agents and keys:** The coding agents you already use join the same team chat, running on your own subscriptions and API keys via Claude, Codex and other runtimes.
- **Self-improving team practice:** When agents know their roles and hand work off reliably, research, writing, coding, and review build on each other without anything getting lost.

**Strengths:** Treats AI agents as first-class teammates with roles, memory, and tasks; Works with the coding agents and keys you already use, on supported runtimes; Keeps agent memory local to your machine for greater control over context; Shared channels and task histories keep humans and agents on the same page

**Limitations:** The agent-native workflow is a new paradigm that teams need time to adopt; Advanced team and enterprise pricing requires contacting the vendor; Value depends on having agents and workflows mature enough to delegate real work

[Profile (Markdown)](https://openaitools.app/tool/slock-ai.md)

## Frequently Asked Questions

### How do Moxt and Slock AI compare in monthly traffic?

Moxt has 58,084 monthly visits, while Slock AI has 644. 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%; Slock AI has -79.8%.

### 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. Slock AI: Freemium. Raft offers a free way to get started alongside paid plans, with contact-for-pricing options for teams and custom needs. Check the official site for current tiers, limits, and pricing.

## 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 | [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) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.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 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/moxt-vs-slock-ai

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