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
Choosing an LLM framework right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Choosing an LLM framework right now?
One click, anonymous. Helps us know our visitors.
Thanks, that helps.
Semantic Kernel Alternatives
Explore 64 products in the Agents category. View all Semantic Kernel alternatives.
Langroid
Multi-agent LLM framework using message-based task delegation inspired by the Actor model
OpenAI Agents SDK
Official OpenAI framework for building production AI agents with tool use and guardrails
Mastra
TypeScript-first AI framework for building agents, RAG pipelines, and workflows
Google ADK
Open-source agent development kit from Google for building multi-agent systems
Dust
The operating system for AI agents
Also listed in
Work on Semantic Kernel? Feature it at the top of Agents.
Is your product missing?