LangGraph vs Microsoft Agent Framework
A side-by-side comparison of LangGraph and Microsoft Agent Framework, two Orchestration tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphMicrosoft Agent Framework
OrchestrationOpen SDK for production AI agents in .NET and Python.
View Microsoft Agent FrameworkAt a glance
| Attribute | LangGraph | Microsoft Agent Framework |
|---|---|---|
| Category | Orchestration | Orchestration |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms (differs) | API, CLI | API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | LangChain | Microsoft |
The honest brief
LangGraph
Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.
- Durable checkpointed state
- Low-level graph control
- Debuggable long-running agents
- Runs in production at major firms
- Steeper learning curve
- More boilerplate than chains
- Tied to LangChain conventions
Microsoft Agent Framework
Microsoft-backed with first-class .NET and Python parity plus built-in durability, observability, and human-in-the-loop from a single vendor.
- MIT-licensed and open source
- Durability and observability built in
- Human-in-the-loop control
- Migration paths from SK and AutoGen
- Younger than the frameworks it replaces
- Tilts toward the Azure ecosystem
- Smaller community than LangChain