Cua vs Goose (by Block)

Detailed side-by-side comparison to help you choose the right tool

Cua

🔴Developer

AI Agents

Cloud desktops for AI agents — give Claude Code, Codex or any computer-use agent its own isolated macOS or Linux VM.

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Goose (by Block)

🔴Developer

AI 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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Starting Price

Custom
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Feature Comparison

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FeatureCuaGoose (by Block)
CategoryAI AgentsAI Agents
Pricing Plans157 tiers6 tiers
Starting Price
Key Features

      Cua - Pros & Cons

      Pros

      • ✓macOS cloud desktops are rare and useful for Apple-only app workflows
      • ✓MCP-native — works with any agent runtime that speaks MCP
      • ✓Per-session isolation, recording, and revocation solve real compliance blockers
      • ✓Removes the operational tax of running your own VM fleet for computer-use agents

      Cons

      • ✗Per-hour billing can be expensive for always-on agents — model carefully
      • ✗Hourly rate must be verified directly with vendor (no live confirmation from curl)
      • ✗Windows support tends to lag macOS/Linux in cloud-desktop products
      • ✗Cua removes infra friction but does not fix the underlying fragility of computer-use models

      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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