Semantic Kernel
Microsoft's SDK for building and orchestrating AI agents in .NET, Python, and Java
Semantic Kernel is a lightweight, model-agnostic SDK from Microsoft for integrating LLMs into applications. It supports C#/.NET, Python, and Java, connecting to OpenAI, Azure OpenAI, Hugging Face, NVIDIA, and other providers through plugins and connectors. A key feature is its planning capability, where the SDK uses LLMs to generate execution plans for complex user requests. Supports memory, tool calling, and multi-agent orchestration. Part of the open-source Microsoft Agent Framework alongside AutoGen.
Pricing: Free
Semantic Kernel Alternatives
Explore 35 products in the Frameworks & Stacks category. View all Semantic Kernel alternatives.
Anycloud
CLI and Python SDK for running AI jobs, services and VMs across your own AWS, Azure, GCP, Lambda and Vast accounts
vLLM
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
Jan
Open-source desktop app for running LLMs locally with a clean GUI
Ollama
Run large language models locally with a single command
Also listed in
Work on Semantic Kernel? Feature it at the top of Frameworks & Stacks.
Is your product missing?