# Dust vs Rool

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Rool records 73,485 monthly visits with -15.8% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Rool](https://openaitools.app/tool/rool) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://rool.dev |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Assistant, AI Productivity Tools, AI Knowledge Management, AI Files |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 73,485 |
| MoM Growth Rate | +1.8% | -15.8% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 38,090 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## Rool

Rool positions itself as a private alternative to consumer AI chat apps. Each user gets one or more "Rool Machines": isolated workspaces that hold files, allow software to run, and retain memory from previous tasks. Chat is described as the entry point rather than the product — the durable artifact is the machine, which keeps results and context available for whatever you do next.

The privacy story is central. Machines are hosted on infrastructure the company operates in the European Union, and the language models are self-hosted on the same EU infrastructure rather than proxied to third-party US providers. The company states that content you put in is never used for training, that it does not sell data, and that access is limited to you and the people you explicitly invite. For teams, an admin-managed plan with a built-in Data Processing Agreement targets organisations with GDPR-style obligations.

Functionally, Rool combines document work, file management and software execution inside the workspace. External services can be attached through built-in connectors and custom MCP servers, which lets you bring existing tools into the same environment rather than switching between apps. Usage is metered in daily AI credits that refill hourly, with storage allocated per machine.

**Pricing & Plans:** Freemium with a free-forever Standard tier (480 AI credits per day, 2 machines, 1 GB storage each). Plus is €9/month for 2,400 daily credits, 2 machines and 2 GB each; Pro is €25/month for 9,600 daily credits, 5 machines, 10 GB each, priority support, custom subdomain and connectors/MCP. A separate usage-based business/team plan with shared machines is available. Credit balances refill hourly up to a cap.

- **Private EU-hosted machines:** Every workspace runs on servers the company operates inside the European Union, with AI models self-hosted on the same infrastructure rather than forwarded to external providers.
- **Persistent memory across tasks:** The machine remembers prior work and conversation context, so follow-up tasks pick up where the last one ended instead of starting from a blank chat.
- **Files and software in one workspace:** Store and work on documents, and run software inside the same machine, keeping results and context together rather than scattered across multiple apps.
- **Connectors and custom MCP servers:** Attach external tools and services to your machine via built-in connectors or self-configured MCP servers, so the stack you already use is reachable from inside Rool.
- **No training on your data:** The company states that your files and conversations are never used to train AI models, that there is no advertising, and that no data is sold.

**Strengths:** EU data residency with self-hosted models on company-operated infrastructure; Persistent memory and file context instead of disposable chat sessions; Free-forever Standard tier with no card required and generous daily credit refills; Connectors and custom MCP server support for bringing existing tools into the workspace

**Limitations:** Connectors and MCP are not available in every country yet, and are gated to paid tiers; Daily AI credits are capped and refill hourly, which can constrain heavy burst usage; Storage per machine is modest on lower tiers (1–2 GB)

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

## Frequently Asked Questions

### How do Dust and Rool compare in monthly traffic?

Dust has 547,217 monthly visits, while Rool has 73,485. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Rool has -15.8%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Rool: Freemium. Freemium with a free-forever Standard tier (480 AI credits per day, 2 machines, 1 GB storage each). Plus is €9/month for 2,400 daily credits, 2 machines and 2 GB each; Pro is €25/month for 9,600 daily credits, 5 machines, 10 GB each, priority support, custom subdomain and connectors/MCP. A separate usage-based business/team plan with shared machines is available. Credit balances refill hourly up to a cap.

## 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 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [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) |
| 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 5 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 6 | [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) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Fabric](https://openaitools.app/tool/fabric) | 168,987 | +2.7% | Freemium | Your files, notes and meetings in one drive — with an AI that knows all of it. | [.md](https://openaitools.app/tool/fabric.md) |
| 10 | [Routine](https://openaitools.app/tool/routine-co) | 144,581 | -14.5% | Freemium | One AI-powered workspace for tasks, calendars, notes and meetings | [.md](https://openaitools.app/tool/routine-co.md) |

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Source: https://openaitools.app/compare/dust-vs-rool

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