Dust vs CrewAI
Detailed side-by-side comparison to help you choose the right tool
Dust
AI Agents
Dust review 2026: enterprise AI platform from Paris for building governed agents grounded in Slack, Drive, Notion — features, pricing, pros, cons.
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CustomCrewAI
🔴DeveloperAI Agents
Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.
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FreeFeature Comparison
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Dust - Pros & Cons
Pros
- ✓Strongest sovereign / EU data story among enterprise agent platforms — important for regulated European buyers
- ✓Per-source permission inheritance from connected systems prevents accidental information leakage
- ✓Model-portable: a single agent can switch among Claude, GPT, Gemini, Mistral without rebuilding
Cons
- ✗Per-seat enterprise pricing requires a sales conversation — no public price calculator
- ✗Smaller integration catalogue than Microsoft Copilot or Glean for very large/heterogeneous IT estates
- ✗Agent quality depends heavily on connected-source quality; messy Notion or Drive content produces messy agents
CrewAI - Pros & Cons
Pros
- ✓Most opinionated multi-agent framework — easy to read, easy to maintain
- ✓Free tier includes the full visual Studio editor and 50 executions/month
- ✓Trusted by 63% of the Fortune 500 according to CrewAI
- ✓MCP-native: crews can consume and expose MCP tools
- ✓Enterprise tier has FedRAMP High and dedicated VPC options that competitors lack
- ✓Active GitHub community and frequent releases
Cons
- ✗Less flexible than LangGraph if you need fine-grained control over state transitions
- ✗Free tier capped at 50 workflow executions per month — easy to hit
- ✗Enterprise pricing is sales-led with no public numbers, making budget planning hard
- ✗Hierarchical process can burn tokens fast with a chatty manager agent
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