microsoft/semantic-kernel

Health v2 · maintenance only

Adoption not part of the score

28504 stars · 4739 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Semantic Kernel is a model-agnostic SDK and orchestration framework from Microsoft for building AI agents and multi-agent systems in .NET, Python, and Java. It provides LLM connectivity, plugins, memory, planning, and vector database integrations, and is now succeeded by Microsoft Agent Framework.

Use cases

• build ai agents in .net
• orchestrate multi-agent workflows
• integrate llm into my app
• connect openai to my c# application
• build a chatbot with plugins and memory
• add rag with vector database search
• use mcp tools with llm agents

When to choose

• you need an enterprise-grade agent framework in .NET, Python, or Java
• you want multi-provider LLM support with plugins, memory, and planning
• you need multi-agent orchestration with vector database integrations

When to avoid

• you are starting a brand-new project - Microsoft recommends its successor, Microsoft Agent Framework
• you need a lightweight single-purpose LLM client rather than a full orchestration framework

Facets

framework · maturity maintenance

agent-framework llm-inference rag mcp chatbot sdk artificial-intelligence large-language-models developer-tools cross-platform windows python dotnet jvm llm-orchestration multi-agent openai azure-openai plugins semantic-kernel microsoft ai-agents retrieval-augmented-generation macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/semantic-kernel")