# Dust vs Magic Cal

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Magic Cal records 0 monthly visits with — growth and Free pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Magic Cal](https://openaitools.app/tool/magic-cal) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://chromewebstore.google.com/detail/magic-cal/pnfnnknogjdmdokpamonebajblkelkhj |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Calendar, Large Language Models (LLMs), AI Assistant, AI Productivity Tools |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | — |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 1.7 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Browser Extension |

## 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)

## Magic Cal

Magic Cal solves a very small but very repetitive problem: translating what you mean into what a calendar form expects. Once the extension is installed, opening Google Calendar gives you an extra creation option labelled "Magic Event". You type or paste a natural-language phrase such as "Dinner with Ana next Friday at 8pm" and the tool parses the intent into a real event on your calendar, so you can skip the dropdowns and time pickers.

The extension is built on top of ChatGPT (the gpt-3.5-turbo model), which means it needs a working internet connection to function, and the amount of context it understands is typical of that model generation. It supports input in any language, so users who do not think in English can still describe events in their own words.

The project is published by an individual developer, Markus Zhang, and is free of charge. Because it is a small independent extension, there is no large support organisation behind it, but the listing states that the developer is reachable by email for help, bugs and complaints.

**Pricing & Plans:** Completely free. The Chrome Web Store listing states there is no charge, with the only rule being that spam usage is not permitted.

- **Natural-language event creation:** Describe an event in ordinary words and Magic Cal turns it into a real entry on Google Calendar, including the title and timing it can infer from your sentence.
- **Live inside Google Calendar:** A "Magic Event" option appears right in the Google Calendar create menu, so you never have to leave the page or open a separate chat window.
- **Any-language input:** The listing explicitly supports input in any language, letting you phrase events the way you actually speak.
- **Powered by ChatGPT:** Interpretation of your sentence is handled by the gpt-3.5-turbo model, one of the well-known ChatGPT models.
- **Zero-cost, lightweight install:** The extension is free and under three megabytes, so installing and removing it takes seconds.

**Strengths:** Free to use with no subscription or account required beyond your Google login.; Saves clicks by replacing multi-field event forms with one sentence.; Works in any language, which is unusual for small calendar helpers.; Lives directly inside Google Calendar rather than in a separate app.

**Limitations:** Needs an internet connection because event parsing runs through ChatGPT.; Very small user base and no ratings, so reliability feedback from others is limited.; The underlying gpt-3.5-turbo model can misread ambiguous dates or times.

[Profile (Markdown)](https://openaitools.app/tool/magic-cal.md)

## Frequently Asked Questions

### How do Dust and Magic Cal compare in monthly traffic?

Dust has 547,217 monthly visits, while Magic Cal has 0. 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%; Magic Cal has —.

### 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. Magic Cal: Free. Completely free. The Chrome Web Store listing states there is no charge, with the only rule being that spam usage is not permitted.

## 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 | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.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 | [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) |
| 4 | [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) |
| 5 | [Reclaim AI](https://openaitools.app/tool/reclaim-ai) | 735,853 | -1.7% | Freemium, Free Trial | AI calendar that defends your focus time and schedules work automatically | [.md](https://openaitools.app/tool/reclaim-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 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Morgen](https://openaitools.app/tool/morgen) | 261,722 | -10.6% | Free Trial, Paid | AI daily planner that turns your calendars and tasks into one clear plan | [.md](https://openaitools.app/tool/morgen.md) |

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Source: https://openaitools.app/compare/dust-vs-magic-cal

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)