Microsoft SDK for integrating LLMs with traditional programming languages.
Ideal for integrating AI capabilities into existing enterprise microservices and legacy systems.
Provides the necessary abstractions to design scalable, multi-agent AI architectures.
The SDK requires strong programming proficiency and architectural knowledge to implement effectively.
AI-powered tools that can replace or augment Semantic Kernel
Microsoft's SDK for integrating LLMs and building multi-agent workflows across multiple programming languages.
Lightweight SDK for building multi-agent workflows with OpenAI models.
Developer SDK that replaces low-code agent creation with programmatic LLM orchestration and enterprise-grade plugin integration.
Low-code platform for building and orchestrating business AI agents.
Enterprise-grade SDK for integrating LLMs and building agentic workflows with traditional programming languages.
Google's official framework for building and orchestrating AI agents.
Semantic Kernel is an open-source SDK available for free, with costs primarily driven by the underlying LLM API usage fees from providers like Azure OpenAI or OpenAI.