Best AI SDKs for C#
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This a list of AI SDKs that integrate with C#. Use the filters on the left to add additional filters for products that have integrations with C#. View the products that work with C# in the table below.
What are AI SDKs for C#?
AI SDKs (Software Development Kits) are collections of tools, libraries, APIs, and documentation that help developers build, integrate, and deploy artificial intelligence capabilities into applications and systems. These SDKs provide prebuilt components for tasks such as natural language processing, computer vision, speech recognition, generative AI, model inference, and agent orchestration, reducing the complexity of AI development. Many AI SDKs support multiple programming languages, cloud platforms, and frameworks, enabling developers to accelerate experimentation and production deployment. They often include testing tools, authentication, monitoring, and integration support for connecting AI models with enterprise applications, databases, and external services. By simplifying access to AI functionality and infrastructure, AI SDKs help developers build intelligent applications faster, more reliably, and at scale. Compare and read user reviews of the best AI SDKs for C# currently available using the table below. This list is updated regularly.
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1
Cohere
Cohere AI
Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.Starting Price: Free -
2
Semantic Kernel
Microsoft
Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.Starting Price: Free -
3
Google GenAI SDK
Google
The Gemini API libraries provide official, production-ready Google GenAI SDKs for building with the Gemini API in popular programming languages. Google recommends using the Google GenAI SDK when building with Gemini, since these libraries are developed and maintained by Google, used across official documentation and examples, and are generally available for production use. The SDKs are available for Python, JavaScript/TypeScript, Go, Java, and C#, with installation through standard package managers such as pip install google-genai, npm install google/genai, Maven dependencies for google genai, and dotnet add package Google GenAI. They provide access to the latest Gemini API features and are designed to offer the best performance when working with Gemini models. Google strongly recommends migrating from legacy libraries to the new Google GenAI SDK because the legacy libraries are not actively maintained.
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