Tool overview
Semantic Kernel is listed under Programming AI tools.
What is Semantic Kernel?
Semantic Kernel is Microsoft’s MIT-licensed SDK for building and orchestrating AI agents and multi-agent systems in C#, Python, and Java. It connects models, prompts, plugins, vector stores, telemetry, and enterprise services while Microsoft transitions users toward Agent Framework.
Best for
Developers maintaining or building model-agnostic agent applications
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Agent and multi-agent orchestration
Model and vector-store connectors
Native, OpenAPI, and MCP-style plugin workflows
C#, Python, and Java SDKs
Use cases
Build enterprise AI assistants
Orchestrate multi-agent systems
Connect models to business functions
Add memory and retrieval to applications
Pros
- Free and MIT licensed
- Supports multiple model providers
- Runs in developer-controlled infrastructure
Limitations
Semantic Kernel remains active but Microsoft Agent Framework 1.0 is now the recommended successor path.
Programming-language support is technical SDK support, not a human-language product claim.
Pricing details
Billing options
Pricing note
Semantic Kernel is free under the MIT License. Users pay separately for model providers, databases, hosting, and operational infrastructure.
Supported programming languages
- English
Integrations
Azure OpenAI
OpenAI
Anthropic
Amazon Bedrock
Mistral
Ollama
Vector stores
OpenAPI plugins
Please log in to join the discussion.