Free
$0
Per month
- Core features
Semantic Kernel: Agent Frameworks
Founded 2023|Redmond, WA|10000+ people|Open Source
What is Semantic Kernel?
Microsoft Semantic Kernel is open-source SDK for building AI applications combining LLMs with programming. Multi-language support.
Key features
Core capabilities this platform advertises.
- Enterprise AI orchestration by Microsoft
- C# and Python SDKs
- Plugin architecture for tools
- Memory and planning capabilities
- Azure and Microsoft 365 integration
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Free open-source
- Microsoft-backed
- Multi-language
Cons
- Learning curve
- Microsoft focus
Plans & pricing
What's included in each plan, and how the tiers compare.
Pro
$0
Per month
- Advanced features
Enterprise
$0
Contract
- Custom
Common use cases
Enterprise .NET developers building AI applications on Microsoft infrastructure
- Enterprise AI on Microsoft stack
- Copilot-style applications
- Integrating AI into .NET applications
- Microsoft 365 automation
- Enterprise workflow orchestration
Using Semantic Kernel with Respan
Integrate with Respan for enhanced AI workflows
- Seamless Respan integration
- Enhanced AI capabilities
- Production infrastructure
Run Semantic Kernel in production with Respan
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan freeBest Semantic Kernel alternatives & competitors
Top companies in Agent Frameworks you can use instead of Semantic Kernel.
OpenClaw
Connects to 50+ channels — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams
LangChain
LangChain Expression Language (LCEL)
AutoGPT
Visual workflow builder with composable agent 'blocks'
LangGraph
Graph-based agent workflows with nodes, edges, and conditional routing
Strands
OpenAI Agents SDK
CrewAI
Multi-agent role-based collaboration
Llama Stack
GripTape
AutoGen
Multi-agent conversation framework
Google ADK
Vercel AI SDK
TypeScript-first AI SDK
Dify
Visual workflow builder for AI apps
DSPy
Instructor
Pydantic AI
Type-safe agent inputs, outputs, and tool calls via Python type hints
Hermes Agent
Persistent memory across sessions in ~/.hermes/memories/
Agno
23+ LLM providers (OpenAI, Anthropic, Gemini, etc.) and 100+ tool integrations
Atomic Agents
Built on Instructor for structured outputs
Smolagents
21st.dev
Largest React component registry — shadcn/ui + Tailwind based
Mastra
TypeScript agent framework
Terminal Use
Agent hosting & deployment
Compare Semantic Kernel
Side-by-side comparisons with other tools in this category.
Best integrations for Semantic Kernel
Companies from adjacent layers in the AI stack that work well with Semantic Kernel.
Last verified: March 10, 2026