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Head-to-head · LLM Application Development Frameworks

LangGraph vs Microsoft Agent Framework

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score LangGraph #2 in LLM Application Development Frameworks 9.2/10 Free plan Free plan✓ 0 of 5 features Visit LangGraph
Microsoft Agent Framework #3 in LLM Application Development Frameworks 9.1/10 Free plan Free plan✓ 0 of 5 features Visit Microsoft

LangGraph leads on 0 checks, Microsoft Agent Framework on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreLangGraph · 9.2/10
  • Free planboth

LangGraph scores higher on our rubric for llm application development frameworks: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

LangGraph is the better fit for developers building durable, stateful agent workflows. Microsoft Agent Framework is the better fit for multi-agent workflows across model providers.

  • LangGraph fits best

    Developers building durable, stateful agent workflows

  • Microsoft Agent Framework fits best

    Multi-agent workflows across model providers

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature LangGraph 9.2/10 Visit ↗ Microsoft Agent Framework 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in LLM Application Development Frameworks #3 in LLM Application Development Frameworks
Best for Developers building durable, stateful agent workflows Multi-agent workflows across model providers
Pricing model Free Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted, Cloud Cloud, Self-hosted
Integrations 2 integrations 8 integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features LangGraph 0/5 · Microsoft Agent Framework 0/5
RAG support Not published Not published
Agent and tool use Not published Not published
Workflow graphs Not published Not published
Prompt optimization Not published Not published
JavaScript/TypeScript SDK Not published Not published
Specs
Primary language Not published Not published
Open-source license Not published Not published
Our review
Pros
  • Combines deterministic code and LLM-driven steps in graph workflows
  • Supports durable execution, checkpointing, and resumption after failures
  • Offers memory, streaming, and human review of agent state
  • Supports sequential, concurrent, handoff, group-chat, and Magentic orchestration
  • Adds human pauses, tool-approval gates, checkpoints, and workflow resumption
  • Exports workflow telemetry and topology; supports OpenTelemetry tracing
Cons
  • Low-level control requires developers to define workflow behavior
  • Does not prescribe a high-level agent architecture
  • Verified integrations are narrower than LangChain’s
  • Requires development work rather than offering a visual builder
  • Cloud and model-service costs depend on chosen infrastructure and providers
  • Support channels are documentation and community
Our verdict

LangGraph is an open-source framework and runtime for developers building long-running, stateful agents and workflows. Its graph model combines deterministic code with model-driven steps, and supports single-agent, multi-agent, and…

Read the review →

Microsoft Agent Framework is an open-source developer framework for building AI agents and multi-agent workflows with Python, .NET, and Go. Its shared agent interface, tools, middleware, and orchestration options suit teams that want to…

Read the review →
  1. LangGraphLLM Application Development Frameworks 9.2Free plan
  2. Microsoft Agent FrameworkLLM Application Development Frameworks 9.1Free plan

Strengths and trade-offs

  • LangGraph — where it wins

    • Combines deterministic code and LLM-driven steps in graph workflows
    • Supports durable execution, checkpointing, and resumption after failures
    • Offers memory, streaming, and human review of agent state

    Where it doesn't

    • Low-level control requires developers to define workflow behavior
    • Does not prescribe a high-level agent architecture
    • Verified integrations are narrower than LangChain’s

  • Microsoft Agent Framework — where it wins

    • Supports sequential, concurrent, handoff, group-chat, and Magentic orchestration
    • Adds human pauses, tool-approval gates, checkpoints, and workflow resumption
    • Exports workflow telemetry and topology; supports OpenTelemetry tracing

    Where it doesn't

    • Requires development work rather than offering a visual builder
    • Cloud and model-service costs depend on chosen infrastructure and providers
    • Support channels are documentation and community
  • LangGraph9.2/10 · Free plan

    Graph-based control for developers who need durable, stateful agent workflows.

    Visit LangGraphFull verdict →
  • Microsoft Agent Framework9.1/10 · Free plan

    An open-source framework for multi-agent orchestration, with checkpoints and approval gates.

    Visit MicrosoftFull verdict →

More comparisons

All LLM application development frameworks comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update