Dust vs Goose (by Block)
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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CustomGoose (by Block)
🔴DeveloperAI Agents
Open-source, extensible AI agent from Block that runs on your machine and orchestrates LLMs, MCP tools, and developer workflows.
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CustomFeature 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
Goose (by Block) - Pros & Cons
Pros
- ✓Open source and free under Apache 2.0 — no vendor lock-in
- ✓MCP-native: the entire MCP server ecosystem is available out of the box
- ✓Bring-your-own LLM, including local models like Ollama for cost control
- ✓Approval flows let you inspect every tool call before it runs
- ✓Backed by a real product company (Block) rather than a one-person side project
Cons
- ✗Setup is config-driven — not a one-click consumer experience
- ✗Desktop UI is less polished than Cursor or Claude Desktop
- ✗No managed cloud option for non-developer teammates
- ✗You're responsible for picking model + tool combos and managing safety
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