Inngest vs Cua
Detailed side-by-side comparison to help you choose the right tool
Inngest
🔴DeveloperAI Agents
Durable-execution platform for AI workflows and agents — write step-functions in TypeScript or Python, get retries, scheduling and observability for free.
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Starting Price
FreeCua
🔴DeveloperAI 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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Starting Price
CustomFeature Comparison
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Inngest - Pros & Cons
Pros
- ✓Durable execution survives crashes and resumes mid-workflow
- ✓AgentKit framework purpose-built for multi-step AI agents
- ✓Generous free tier: 50k runs/month with full features
- ✓Beautiful dashboard with traces, logs, and replay
- ✓Works on Vercel, Cloudflare Workers, Lambda, and containers
Cons
- ✗TypeScript-first — Python SDK is less mature
- ✗Step-function programming model has a learning curve
- ✗Self-hosted Inngest available but most teams use the cloud
- ✗Pricing jumps from $30 Basic to $150 Pro tier feel steep mid-stage
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
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