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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

Orchestration

Graph-based agent orchestration. Stateful loops with checkpoints.

View LangGraph

Microsoft Agent Framework

Orchestration

Open SDK for production AI agents in .NET and Python.

View Microsoft Agent Framework

At a glance

Feature comparison of LangGraph and Microsoft Agent Framework
AttributeLangGraphMicrosoft Agent Framework
CategoryOrchestrationOrchestration
PricingFREEFREE
LicenseOpen sourceOpen source
Deployment
Platforms (differs)API, CLIAPI
Model supportModel-agnosticModel-agnostic
Vendor (differs)LangChainMicrosoft
Capabilities (differs)
  • Agent framework
  • Multi-agent orchestration
  • Agent memory
  • Agent framework
  • Multi-agent orchestration
  • Tool / function calling
  • LLM observability

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

When to pick which

Both cover Agent framework and Multi-agent orchestration.

Pick LangGraph if you need Agent memory.

  • Agent memory (secondary capability)

Pick Microsoft Agent Framework if you need Tool / function calling and LLM observability.

  • Tool / function calling (primary capability)
  • LLM observability (secondary capability)

LangGraph leans on Multi-agent orchestration as a headline capability; Microsoft Agent Framework treats it as secondary.

  • Multi-agent orchestration (primary capability)

They also differ on:

Platforms
API, CLI · API