Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Code-first approach enables testable, maintainable agent development
- Comprehensive evaluation framework builds trustworthy agents
- Modular design supports scalable multi-agent architectures
- Open source with active community contributions
Cons
- Optimized primarily for Google Cloud ecosystem
- May be overly structured for simple use cases
- Less flexibility for multi-cloud or non-Google deployments
Pros
- Completely free and open-source SDK
- Lightweight architecture with minimal learning curve
- Production-ready from launch with proven enterprise adoption
- Handles 80 percent of use cases without complexity
Cons
- API usage costs can escalate quickly with complex agent workflows
