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Reviewed by Shawn H. Founder, AITrustList

Last verified MethodologyAI tools are ranked by traffic signals, not paid placement.

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Dust

Multiplayer AI workspace where teams and agents collaborate

KnowledgeTask automationTask managementFreemiumOpen Source
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Dust is a multiplayer AI platform where humans and AI agents collaborate as co-contributors, sharing knowledge, tools, and workflows.

Dust alternatives
Screenshot 1

Pros & cons

Independently written by the AITrustList editorial team.

Pros

  • Free tier available with no credit card
  • Connects multiple LLMs (OpenAI, Anthropic, Mistral)
  • Team workspaces with shared agents and workflows
  • REST API access included
  • Custom AI agent builder with no-code interface
  • Document and knowledge base connectors for RAG

+1 more pro not shown

Cons

  • Paid plan pricing not listed publicly on site
  • Free tier message caps and model limits apply
  • No transparent rate-limit documentation publicly
  • Smaller third-party integration library than Zapier
  • Per-seat pricing structure raises cost for large teams
  • No native mobile app as of 2024
Dust Overview

What is Dust?

Dust is a multiplayer AI workspace where people and AI agents work together as equal co-contributors on shared knowledge, tools, and workflows.

How to use Dust?

Sign up for free, connect your tools and data sources, configure or build AI agents, then invite teammates to collaborate on shared conversations and automated workflows.

Core features of Dust

  • Multiplayer AI workspace with shared conversations, notifications, and live cursors for humans and agents
  • Semantic knowledge layer that connects and synthesizes data from 100+ production tools
  • Self-improving agents that learn reusable skills from team workflows
  • Model flexibility across OpenAI, Anthropic, Google, and Mistral
  • Enterprise security: SOC 2 Type II, GDPR, EU data residency, HIPAA-ready, SSO/SAML/OIDC, SCIM, and dual-layer agent permissions
  • Developer platform with REST API, MCP, webhooks, OAuth2, and bi-directional sync

Target audience of Dust

AI DevelopersResearchersTeam Leaders

Use cases of Dust

  • #1Engineering: AI-powered code debugging, automated code reviews, and incident response runbooks
  • #2Customer support: ticket classification, CRM updates, and automated replies
  • #3Sales and GTM: workflow automation, prospect research, and CRM enrichment
  • #4Marketing and content: content generation, analysis, and knowledge search
  • #5Internal knowledge: company-wide semantic search and answer synthesis across tools

Dust Details

Dust is a multiplayer AI workspace designed for human-agent collaboration. Instead of single-player AI tools, Dust gives entire teams and their AI agents shared access to the same knowledge, tools, conversations, and notifications so work compounds across the organization.

The platform connects to a company's existing stack via 100+ production connectors and adds a semantic knowledge layer that synthesizes information rather than just retrieving it. Agents built on Dust are self-improving: best practices consolidate into reusable skills and improvements spread automatically across teams.

Dust supports model flexibility across OpenAI, Anthropic, Google, and Mistral, and ships with enterprise-grade security including SOC 2 Type II, GDPR, EU data residency, HIPAA-ready deployment, SSO/SAML/OIDC, SCIM, and a dual-layer permission model that separates agent access from user access. REST APIs, MCP, webhooks, OAuth2, and bi-directional sync support custom integrations.

Teams in engineering, customer support, sales, marketing, data, and operations use Dust for use cases like AI-powered code debugging, automated code reviews, incident response runbooks, continuous doc generation, ticket triage and CRM updates, and internal knowledge search. Dust reports 300,000+ agents deployed and 3,000+ teams running on the platform, with customers including Datadog, Clay, Cursor, Decagon, 1Password, Vanta, and Watershed.

Dust Pricing

FAQ from Dust

What is Dust?

Dust is a multiplayer AI workspace where people and AI agents collaborate as co-contributors, sharing knowledge, tools, conversations, and notifications.

Which AI models does Dust support?

Dust offers model flexibility across frontier providers including OpenAI, Anthropic, Google, and Mistral.

How does Dust handle enterprise security?

Dust is SOC 2 Type II certified, GDPR compliant with EU data residency, HIPAA-ready, and supports SSO (SAML, OIDC), SCIM, audit logs with 365-day retention, RBAC, dual-layer agent permissions, AES-256 encryption at rest, and TLS 1.3 in transit.

How many integrations does Dust support?

Dust ships with 100+ production connectors, plus a RESTful API, MCP for proprietary systems, webhooks, and OAuth2 for custom integrations with bi-directional sync.

Dust Website Traffic Analysis

Visit Over Time

Monthly Visits697.4K
Avg. Visit Duration05:02
Page per Visit5.63
Bounce Rate29.72%
Mar 2026 - Jul 2026 All Traffic

Geography

Top 5 Regions

📍France
66.27%
📍United States
9.95%
📍United Kingdom
3.15%
📍Portugal
1.97%
📍Brazil
1.72%
Mar 2026 - Jul 2026 Desktop Only

Traffic Sources

Direct
85.35%
Organic Search
7.64%
Referrals
2.42%
Organic Social
2.34%
Mail
1.55%
GenAI
0.37%
Display Ads
0.28%
Paid Social
0.05%
Affiliate
0.00%
Paid Search
0.00%
Mar 2026 - Jul 2026 Worldwide Desktop Only

AI Referral Traffic

ChatGPT
60.9%
Google Gemini
11.3%
Perplexity AI
9.8%
Mar 2026 - Jul 2026 AI Engine Share Trends

Top Keywords

KeywordTrafficCost Per Click
dust75.2K$ 1.01
dust ai10.8K$ 5.05
dust ia1.5K$ 1.84
dustt1.6K$ 1.19
dust.tt750--

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