Multiplayer collaboration workspace
Dust provides a shared workspace where people and agents can work with the same knowledge, tools, conversations, and notifications.
Dust
Freemium
Dust is a multiplayer AI platform where teams and agents collaborate in a shared workspace, using company tools and data for workflows, research, and tasks.
What is Dust?
Dust is a platform for human-agent collaboration that lets teams build, deploy, and run AI agents in a shared workspace. It is positioned as multiplayer AI, where people and agents contribute together rather than using AI as a one-person assistant.
The product connects to company tools and data so agents can use organizational context when answering questions or carrying out tasks. The site emphasizes custom agents, multi-agent workflows, and model flexibility, with support for both self-serve Business plans and Enterprise deployments.
Dust also provides an integration catalog and security-oriented controls for larger teams. The pricing and security pages indicate that organizations can start with seat-based self-serve plans and move to Enterprise for more advanced admin, data, and support requirements.
What can Dust do?
Company knowledge and semantic context
The platform uses connected company data to help agents understand context rather than only retrieve isolated facts.
Custom agents and orchestration
Users can build custom agents with skills, knowledge, and tools, then run multi-agent workflows on schedules or event triggers.
Model flexibility
Dust supports frontier models from OpenAI, Anthropic, Google, Mistral, and DeepSeek, with model choice per agent.
Broad connector coverage
The integrations catalog shows connectors across categories such as communication, CRM, productivity, development, storage, and analytics, with support for tools like Slack, Notion, GitHub, Salesforce, and Google Drive.
Security and admin controls
The platform includes enterprise controls such as SSO, SCIM, audit logs, data residency options, and single-tenant deployment on the Enterprise plan.
Use Cases
“Internal team assistance”
Teams can build agents that answer questions, surface context, and carry out tasks using shared company knowledge, instead of working from isolated prompts.
“Automated multi-step workflows”
Operations and cross-functional teams can chain steps together with schedules or event triggers, such as recurring research, triage, or follow-up workflows.
“Engineering workflows”
Engineering and technical teams can connect docs, code, and issue context to support debugging, review, incident response, and documentation tasks.
“Sales and revenue operations”
Go-to-market teams can use connected CRM, communication, and productivity data to research accounts, qualify leads, draft proposals, and keep records current.
“Knowledge-heavy team operations”
Support, analytics, and content teams can turn resolved tickets, data questions, and campaign inputs into reusable knowledge, reports, and draft output.
Frequently Asked Questions
How is Dust priced?
Dust’s pricing page says Business plans use seat-based pricing with Free, Pro, and Max seat types, while Enterprise is handled by talking to sales. The product is also available to try for free from the homepage.
Who is Dust for?
Dust is designed for teams that want people and agents to work in the same workspace, sharing context, tools, conversations, and notifications. The site positions it as a fit for AI Operators building and running agents for their teams.
What systems can Dust connect to?
The integrations page says Dust connects to 50+ tools and data sources, and the pricing page highlights connectors for Slack, Notion, GitHub, Drive, and other tools, plus access through MCP.
What kinds of workflows can teams build?
Dust’s source pages describe workspace collaboration, agents that use connected company knowledge, and workflows that can run on schedules or triggers. The site also shows support for team collaboration workspaces, custom agents, and multi-agent orchestration.
What is different about Enterprise?
The pricing and security pages indicate that Enterprise adds controls such as SCIM, audit logs, custom retention, single-tenant deployment, custom legal terms, and dedicated support. Business includes core collaboration and integration features, while Enterprise is intended for organizations that need more admin and security controls.
Quick Facts
- Category
- Multiplayer AI platform
- Primary use
- Human-agent collaboration in a shared workspace
- Pricing model
- Seat-based Business plans plus Enterprise sales
- Integrations
- 50+ tools and data sources listed
- Source domain
- dust.tt
- Deployment focus
- Self-serve teams and enterprise organizations
Dust Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 74
Dust Alternatives
Zaro
zaro.ai
Zaro is an AI workspace for building internal apps, agents, and workflows on company data, with shared organisational credits, a free trial, and paid plans for higher usage.
AgentConnect
www.agentconnect.md
AgentConnect lets teams bring ACP agents such as Claude Code, Codex, and Gemini CLI into Slack, Telegram, Discord, and GitHub, where they can take on work in the channels teams already use to collaborate. It’s open source and self-hostable, with roles, tools, memory, and configurable triggers for agent workflows.
E2B
e2b.dev
E2B runs AI agents in isolated sandboxes with Python and JavaScript SDKs for research, coding, and data workflows.
Gumloop
www.gumloop.com
Gumloop is a no-code AI automation framework for building and hosting business workflows and agents, helping teams automate tasks and connect data.
xpander.ai
chat.xpander.ai
xpander.ai is a web app for managing AI agents across business workflows, including pipeline tracking, support triage, billing, and reporting. Query work data, draft follow-up actions, and monitor automated tasks and conversations.
Sim
sim.ai
Sim is an open-source AI workspace for building, deploying, and managing AI agents with visual workflows, Chat, API access, integrations, and collaboration tools.