# Dust vs Moshi

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Moshi records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Moshi](https://openaitools.app/tool/moshi) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://usemoshi.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Blog Generator, SEO Writing AI, AI Writing, AI Text Generator |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4 |
| Saved Count | 5 | 2 |
| 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)

## Moshi

Moshi is a conversational sales agent built for social commerce. Its pitch is simple: transform your ads into conversations that convert. Rather than sending an ad click to a landing page and hoping for a form fill, Moshi opens a direct message with the prospect and starts selling in the thread, then follows up on its own — the company frames it as selling and following up while you sleep.

The product runs primarily on Instagram DMs, with support for iMessage and RCS as well, and it is explicitly aimed at e-commerce and direct-to-consumer brands running paid social campaigns. Onboarding captures the basics Moshi needs to operate: your name, email, your company's Instagram handle and your online store URL. By submitting, you agree to receive automated messages from Moshi, which is how the agent reaches out to leads.

Because the workflow is conversational, Moshi positions itself as the layer that lets a brand respond to and qualify every inbound DM at ad-spend scale, instead of relying on staff to reply manually. Pricing is not published publicly — it is arranged directly with the team.

**Pricing & Plans:** Moshi does not publish a public pricing page or plan list. Onboarding is a short form (name, email, company Instagram handle and store URL) and pricing appears to be arranged directly with the team based on your volume.

- **Ad click to DM conversion:** Each ad click opens a direct message that engages the lead in a one-to-one conversation instead of sending them to a static page.
- **Automated follow-up while you sleep:** Moshi keeps the conversation going and follows up automatically, including outside working hours, so leads are not left waiting.
- **Multi-channel messaging:** Moshi runs on Instagram DMs alongside iMessage and RCS, meeting customers where they already message.
- **Conversational sales rep:** Because it qualifies and replies in the moment, Moshi works as a conversational sales rep that can scale with your ad spend.
- **Social commerce focus:** Built for e-commerce brands and social campaigns, connecting store and Instagram presence to the sales flow.

**Strengths:** Turns ad clicks into one-to-one DM conversations rather than static landing pages; Automated follow-up keeps leads engaged outside business hours; Works across Instagram DMs, iMessage and RCS; Low-friction onboarding via a short signup form

**Limitations:** Getting started requires handing over your store details and Instagram handle, since the product is built around social selling; It is a sales-automation and messaging tool rather than a long-form content or blog generator; No public pricing page, so costs are only available after contacting the team; Effectiveness depends on your ad traffic and Instagram funnel volume

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Moshi 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%; Moshi has 0%.

### 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. Moshi: Freemium. Moshi does not publish a public pricing page or plan list. Onboarding is a short form (name, email, company Instagram handle and store URL) and pricing appears to be arranged directly with the team based on your volume.

## 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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

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