Semantic Kernel vs Strands Agents

Pick two tools from the same category to compare side-by-side.

	Semantic Kernel Microsoft's open-source SDK for embedding LLM agents and plugins into .NET, Python, and Java apps.	Strands Agents Open-source, model-driven SDK from AWS for building AI agents in a few lines of code.
Category	framework	framework
Vendor type	open source	hybrid
Pricing	free	freemium
Strengths	+ Strong enterprise and multi-language support (.NET, Python, Java) + Plugin/connector model and Azure ecosystem integration + Backed by Microsoft with extensive documentation + Established memory and planner/agent primitives	+ Minimal, model-driven API that reduces orchestration boilerplate + Provider- and cloud-agnostic model support + Built-in observability via OpenTelemetry + Production deployment patterns for common AWS runtimes
Tradeoffs	− Most new investment has shifted to Microsoft Agent Framework − API churn and migration overhead for long-lived projects − Heavier, enterprise-oriented abstractions	− Model-driven control can be less predictable than explicit graph flows − Smoothest experience and deployment docs skew toward AWS infrastructure
Used in stacks	0	0