# Dust vs Liminary

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Liminary records 12,246 monthly visits with -30.4% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Liminary](https://openaitools.app/tool/liminary) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://liminary.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Knowledge Management, AI Summarizer, AI Youtube Summary, AI Article Summarizer |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 12,246 |
| MoM Growth Rate | +1.8% | -30.4% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 4,874 |
| Review Score | 4.4 | 4.1 |
| 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)

## Liminary

Liminary targets a familiar professional failure mode: you do the research, then spend the first hour of the next project re-finding it. The tool acts as a persistent memory layer. Articles, reports, PDFs, videos and AI chats are saved with one click while you browse, and you can add your own notes and context as you read, so the stored knowledge reflects your thinking and not just the source text.

Retrieval is the differentiating part. Rather than waiting for you to search, Liminary proactively surfaces what is relevant while you write, and it now includes Magnet, a meeting sidekick that pulls in the right material in real time. Answers are grounded in your saved sources, with every insight traceable to a citation and every source one click away. Fact-checking and gap detection run against your own material rather than the open internet, so you can verify claims and spot missing pieces before someone else does.

Security is positioned as a core feature rather than an afterthought: data is encrypted, siloed to your workspace, and never used to train AI models, with the team crediting ex-Dropbox security, ML and search engineers. The product is aimed at consultants, researchers, analysts and small teams whose recommendations carry professional risk if the underlying facts are wrong.

Practicalities: Liminary ships as browser extensions for Chrome and Firefox with a rated 5-out-of-5 presence on the Chrome Web Store, and the vendor publishes benchmark posts on long-term memory evaluation. Pricing structure beyond a free download is presented on the site; check there for current plan tiers.

**Pricing & Plans:** Free download available to get started. Subscription tiers for professional and small-team use are listed on the Liminary site. Check the official pricing page for current plan details, since published tiers may change.

- **One-click saving anywhere:** Capture web pages, PDFs, videos, reports and LLM chats while you browse, then annotate them with your own notes and context.
- **Proactive recall:** Instead of waiting for a search, Liminary surfaces the relevant saved material while you write and inside meetings.
- **Magnet meeting sidekick:** A meeting companion that pulls in the right information at the right moment, then saves the summary, full transcript and your notes for later recall.
- **Sourced, traceable answers:** Every answer points back to where it came from, internal or external, so you can verify claims rather than trust a black box.
- **Fact check and gap detection:** Validate claims against your own saved sources and find what is missing in a draft, including directly inside Notion.

**Strengths:** Proactive recall means relevant knowledge finds you instead of requiring a search; Answers stay traceable to saved sources, which suits high-stakes professional work; Captures many source types in one place: pages, PDFs, videos and AI chats; Explicit privacy stance: encrypted, siloed per workspace and never used for model training

**Limitations:** Value depends on you actually saving sources, so the habit has to be built first; Overlaps with note tools like Notion, which can mean deciding where knowledge should live; Full plan structure is not fully clear from the landing page alone, so pricing needs checking

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Liminary has 12,246. 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%; Liminary has -30.4%.

### 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. Liminary: Freemium. Free download available to get started. Subscription tiers for professional and small-team use are listed on the Liminary site. Check the official pricing page for current plan details, since published tiers may change.

## 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 | [Studocu](https://openaitools.app/tool/studocu-global) | 39,297,122 | +1.1% | Freemium | Share and access study materials worldwide — with AI study tools built in | [.md](https://openaitools.app/tool/studocu-global.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Readray (formerly Lilys AI)](https://openaitools.app/tool/lilys-ai) | 967,113 | -9.7% | Freemium | A proactive AI reading lens for papers, videos, and web pages | [.md](https://openaitools.app/tool/lilys-ai.md) |
| 8 | [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) |
| 9 | [Linnk.AI](https://openaitools.app/tool/linnk-ai) | 451,514 | +12.4% | Freemium | Translate, summarize, and understand documents in 154 languages without losing the layout | [.md](https://openaitools.app/tool/linnk-ai.md) |
| 10 | [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) |

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

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