# Dust vs Network Tree

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

| Metric | [Dust](https://openaitools.app/tool/dust) | [Network Tree](https://openaitools.app/tool/network-tree) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://apps.apple.com/us/app/network-tree-co/id6502738191 |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Productivity Tools, AI CRM, AI Search Engine |
| 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 | 4.3 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | App |

## 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)

## Network Tree

Most professionals meet far more people than they can remember. Network Tree was built around that problem: it treats your contacts as a strategic asset rather than a static address book. After a one-time import, the app lets you group people by association — the event, company, or context where you met them — so your network stays readable as it grows.

Beyond storage, Network Tree adds the two features people actually need to maintain relationships: reminders and context. You can attach notes to each contact, then schedule nudges to reconnect at the right time. Because the notes travel with the reminder, you open the app knowing exactly what to say rather than staring at a blank message box.

Network Tree also includes an AI search layer, so instead of scrolling you can describe the kind of person you need — a designer you met at a conference, a recruiter in clean energy — and surface them quickly. It is a lightweight, mobile-first tool aimed at founders, salespeople, recruiters, and anyone who believes their network is their net worth.

**Pricing & Plans:** Free to download and use on iPhone, iPad, Mac (Apple Silicon), and Apple Vision. The App Store listing shows Stripe-based in-app purchasing, so some premium functionality may be offered as a paid upgrade.

- **Contact import and grouping:** Upload your contacts once and organize them into named groups based on where, when, or how you met each person.
- **AI search across your network:** Describe who you are looking for in plain language and let the app surface the right contact instead of scrolling through lists.
- **Follow-up reminders:** Schedule nudges to reach back out to a contact at a chosen time, so valuable relationships do not quietly go cold.
- **Notes attached to every contact:** Store the context of each relationship — conversations, preferences, next steps — right next to the person's profile.
- **Network visualization:** A visual view of your connections helps you see where people came from and how your network is structured.

**Strengths:** Free to download with no account barrier on iOS; Clean, lightweight personal-CRM workflow built for mobile; AI search is much faster than manually filtering a large contact list; Reminders linked to notes make follow-ups genuinely actionable

**Limitations:** iOS/iPadOS-first, so Android and web users are left out; No integration mentioned with LinkedIn, email clients, or external CRMs; As a young app with a small review base, long-term support is unproven

[Profile (Markdown)](https://openaitools.app/tool/network-tree.md)

## Frequently Asked Questions

### How do Dust and Network Tree compare in monthly traffic?

Dust has 547,217 monthly visits, while Network Tree 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%; Network Tree 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. Network Tree: Free. Free to download and use on iPhone, iPad, Mac (Apple Silicon), and Apple Vision. The App Store listing shows Stripe-based in-app purchasing, so some premium functionality may be offered as a paid upgrade.

## 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 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | The AI-native ATS that replaces your entire recruiting stack | [.md](https://openaitools.app/tool/kula-ai.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 | [Saner.AI](https://openaitools.app/tool/saner-ai-beta-version) | 184,423 | -0.6% | Freemium | ADHD-friendly AI assistant for notes, email and tasks | [.md](https://openaitools.app/tool/saner-ai-beta-version.md) |
| 10 | [Dex — Personal CRM & LinkedIn Assistant](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex) | 156,354 | +1.6% | Paid | The personal CRM that keeps your network warm — with your LinkedIn graph baked in | [.md](https://openaitools.app/tool/linkedin-gpt-assistant-by-dex.md) |

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Source: https://openaitools.app/compare/dust-vs-network-tree

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