LaunchedEditorial Listing

Semantic Kernel

Microsoft · Model-Agnostic AI Agent SDK

A Microsoft SDK for building, orchestrating, and deploying AI agents and multi-agent systems in .NET, Python, and Java — now succeeded by Microsoft Agent Framework, with v1.x receiving critical fixes and security patches.

PricingFree

Setupmedium

Runs onSelf-hosted

APINo

Open sourceYes

DocsYes

CategoryAgent Frameworks

Agent Framework.NETPythonJavaOpen SourceMicrosoft

Best for

Maintaining or extending existing Semantic Kernel apps in .NET, Python, and Java

Not ideal for

New projects (Microsoft recommends Microsoft Agent Framework), non-developers, or teams outside the Microsoft ecosystem

Who it's for

Enterprise developers integrating AI agent capabilities into .NET, Python, or Java applications

Capabilities

Multi-language support: .NET, Python, and Java
Model-agnostic — works with cloud, local, and custom models
Enterprise-grade observability and security
Multi-agent orchestration capabilities
Plugins via native functions, prompt templates, OpenAPI specs, and MCP
Process Framework for business workflows
100+ samples and extensive Microsoft Learn documentation

Limitations

Superseded by Microsoft Agent Framework — new feature development has moved there
Requires developer expertise in .NET, Python, or Java
No hosted deployment — integrates into your own applications
Strongest in the Microsoft / Azure ecosystem
Less focused on agent UX patterns than higher-level frameworks

Use cases

Adding AI agent capabilities to existing enterprise applications
Building multi-agent systems in .NET or Java environments
Integrating local and cloud LLMs into production software
Enterprise AI workflows with security and compliance requirements
Prototyping agent-powered features in polyglot codebases

Integrations & fit

Azure OpenAIOpenAIOllama.NETPythonJava

Good fit forStartup / small team, Enterprise

Pricing modelFree· No cost to start

See pricing on Semantic Kernel →

Alternatives to consider

See the best AI agent frameworks →

Microsoft Agent Framework

Microsoft

Python and .NET multi-agent orchestration, especially with Azure and Microsoft Foundry

Free

LangGraph

LangChain

Developers building production multi-agent systems that need fine-grained control over state, execution flow, and human-in-the-loop checkpoints — and who are willing to trade setup time for that control

Free

About Semantic Kernel

Semantic Kernel is an open-source, model-agnostic SDK by Microsoft that enables developers to integrate AI agent capabilities into applications written in .NET, Python, or Java. It supports building everything from simple chatbots to complex multi-agent workflows, with enterprise-grade features including observability, security, plugins (native code, prompt templates, OpenAPI specs, and MCP), vector database connectors, and a Process Framework for business workflows. Semantic Kernel works with cloud-based models (Azure OpenAI, OpenAI), local models (Ollama, LMStudio, ONNX), and custom integrations. The SDK is MIT-licensed, self-hosted, and designed to slot into existing enterprise application architectures rather than requiring a standalone deployment; the Java SDK lives in the separate semantic-kernel-java repository. Important context: Microsoft Agent Framework, released as 1.0 in April 2026, is the official successor to Semantic Kernel. Semantic Kernel v1.x continues to receive critical bug fixes and security patches, but the majority of new features are built for Agent Framework, and a migration guide is available.

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