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 PricingFree, FreemiumFreeFree
Free Credits
Key Features
  • Shared workspace for people and agents
  • Semantic company knowledge layer
  • Multi-tool integrations and connectors
  • Multi-agent workflow with verification and self-healing
  • 50+ AI models auto-routed per agent
  • 1000+ OAuth2 app integrations
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
Pros
  • Built for team collaboration, not single-user prompts
  • Strong enterprise security and permission controls
  • Replaces 10+ separate tools with one platform
  • Multi-agent orchestration saves time and context switching
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
Cons
  • Pricing details are not publicly transparent
  • Best fit appears to be teams rather than individual users
  • Free tier limited to 5,000 credits per month
  • May have a learning curve for complex workflows
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
Best For
  • Enterprise teams adopting agentic workflows
  • Operations teams in sales, support, and marketing
  • Marketing teams
  • Content creators
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams

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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