Agent Frameworks
🎯 LangGraph vs Semantic Kernel
Community Vote — Which tool wins?
LangGraph
Tool AGraph-based stateful orchestration runtime for agent loops.
Starting Price
Open-source + Cloud
Key Strengths
- ✓Graph-based state machine gives precise control over execution flow with conditional branching, loops, and cycles
- ✓Built-in checkpointing enables time-travel debugging, human-in-the-loop approval, and fault-tolerant resume from any step
- ✓Subgraph composition lets you build complex multi-agent systems from reusable, independently testable graph components
Semantic Kernel
Tool BSDK for building AI agents with planners, memory, and connectors. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
Starting Price
Open-source
Key Strengths
- ✓Plugin system lets you expose existing C#/Python methods to LLMs with a single decorator — minimal refactoring needed
- ✓First-class .NET support with dependency injection, middleware patterns, and enterprise conventions C# teams already know
- ✓Azure OpenAI deep integration with managed identity, content safety filters, and enterprise deployment patterns baked in
Which would you choose for...
Vote in each scenario below