AI Agent

Dust

Dust is a multiplayer AI workspace where teams and agents collaborate using shared knowledge, tools, and workflows.

What is Dust?

Dust is an enterprise AI platform for human-agent collaboration, designed as a shared workspace where teams build, run, and improve AI agents using company knowledge, tools, and integrations.

Dust vs Similar AI Tools

Pricing ModelFree, Free Trial, Custom PricingFreeFree, Free TrialFree, Paid
Free Credits
Key Features
  • Shared workspace for people and agents
  • Semantic company knowledge layer
  • Multi-tool integrations and connectors
  • On-device text extraction from screen without saving screenshots
  • Semantic search by meaning, not just keywords
  • Commitment detection with due-date reminders
  • Plain English strategy description
  • Real historical market data
  • Models slippage, stops, and fills
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Built for team collaboration, not single-user prompts
  • Strong enterprise security and permission controls
  • Fully on-device processing ensures complete privacy
  • Free and open source with no subscription
  • Easy natural language interface
  • Realistic backtesting with slippage and funding
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Pricing details are not publicly transparent
  • Best fit appears to be teams rather than individual users
  • Mac-only, requires macOS 15+ and Apple Silicon
  • Permission re-authorization needed after updates (macOS limitation)
  • Limited free trial (250 calls, 30 days)
  • Usage beyond trial requires contacting support
  • Enterprise features require paid tiers
  • Setup may require technical expertise
Best For
  • Enterprise teams adopting agentic workflows
  • Operations teams in sales, support, and marketing
  • Individuals who want to remember everything they see on their Mac
  • Professionals and students needing to track commitments and changes
  • Crypto traders
  • Quantitative researchers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

How to use Dust?

  1. 1Connect your company tools and data sources.
  2. 2Set up shared agent workflows for specific teams or departments.
  3. 3Define permissions, access controls, and model preferences.
  4. 4Deploy agents into daily workflows like support, sales, engineering, or analytics.
  5. 5Monitor outputs, refine behavior, and reuse successful workflows across the organization.

Dust Key Features

  • Shared workspace for people and agents
  • Semantic company knowledge layer
  • Multi-tool integrations and connectors
  • Model flexibility across major frontier models
  • Dual-layer permissions and RBAC
  • SCIM, SSO, and audit logs
  • Workflow automation for departments
  • Agent learning and reusable skills

Dust Use Cases

  • Lead qualification and CRM updates
  • Support ticket triage and draft responses
  • Engineering debugging and incident response
  • Marketing brief generation and content workflows
  • Self-service analytics and report drafting
  • Knowledge synthesis into reusable internal docs

Dust Pricing & Free Credits

Dust currently operates on a Free, Free Trial, Custom Pricing model.

Free Tier

Free Trial

Free

Try Dust before committing to a plan.

Paid Plans

Contact Sales

Custom

Enterprise pricing is not listed publicly and appears to be quote-based.

Free Trial

Free

Try Dust before committing to a plan.

Contact Sales

Custom

Enterprise pricing is not listed publicly and appears to be quote-based.

Dust Pros & Cons

Pros

  • Built for team collaboration, not single-user prompts
  • Strong enterprise security and permission controls
  • Broad integrations and workflow automation
  • Supports multiple leading AI models
  • Useful across departments and operational teams

Cons

  • Pricing details are not publicly transparent
  • Best fit appears to be teams rather than individual users
  • May require setup to realize full value

What is Dust best for?

  • Enterprise teams adopting agentic workflows
  • Operations teams in sales, support, and marketing
  • Engineering and analytics teams automating internal work
  • Organizations that need secure, shared AI collaboration

Dust FAQ

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