About Semantic Kernel
A model-agnostic SDK from Microsoft for integrating LLMs into applications, building agents and multi-agent systems, and adding plugins, planners, memory, and connectors across .NET, Python and Java.
Key Features
- Agent SDK with plugins, planners, and structured function invocation
- Cross-language support (.NET, Python, Java) and enterprise integrations
- Model-agnostic connectors (OpenAI, Azure OpenAI, Hugging Face, local runtimes)
- Samples for multi-agent orchestration, memory, and extensibility
Use Cases & Best For
Enterprise developers building production-grade agent applications with language-model integration
Teams needing cross-language SDKs and Azure/OpenAI enterprise support
About Agent Frameworks
Build autonomous AI agents and workflows