SDKAI and agent development

semantic-kernel

Build model-agnostic agent workflows across Python, .NET, and Java

Stars
28,292
Forks
4,672
License
MIT
Updated
Updated Jul 10, 2026

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Project overview

Semantic Kernel is a model-agnostic SDK for building, orchestrating, and deploying AI agents and multi-agent systems across Python, .NET, and Java. It supports multiple model providers, plugins, structured workflows, and vector-database integrations. The project now identifies Microsoft Agent Framework as its successor and provides a migration guide, which is relevant when maintaining or starting an application.

Repository facts

Primary language
C#
License
MIT
Repository updated
Jul 10, 2026
Default branch
main

Resource types

SDKOrchestration framework

Use cases

AI and agent development

Capabilities

MemoryMulti-agent collaborationPlanningTool use

Audience

Developers

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