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Head-to-head · LLM Application Development Frameworks

Microsoft Agent Framework vs Spring AI

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Microsoft Agent Framework #3 in LLM Application Development Frameworks 9.1/10 Free plan Free plan✓ 0 of 5 features Visit Microsoft
Spring AI #4 in LLM Application Development Frameworks 9.0/10 Free plan Free plan✓ 3 of 5 features Visit Spring AI

Microsoft Agent Framework leads on 0 checks, Spring AI on 3, and 1 is even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreMicrosoft Agent Framework · 9.1/10
  • Free planboth
  • Most featuresSpring AI · 3 of 5

Microsoft Agent Framework scores higher on our rubric for llm application development frameworks: 9.1 against 9.0 out of 10; our editors rank them #3 and #4.

Spring AI offers rag support; Microsoft Agent Framework doesn't publish it. Spring AI offers agent and tool use; Microsoft Agent Framework doesn't publish it. Spring AI offers prompt optimization; Microsoft Agent Framework doesn't publish it.

Microsoft Agent Framework is the better fit for multi-agent workflows across model providers. Spring AI is the better fit for java teams building RAG and AI applications.

  • Microsoft Agent Framework fits best

    Multi-agent workflows across model providers

  • Spring AI fits best

    Java teams building RAG and AI applications

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

Side by side

Feature Microsoft Agent Framework 9.1/10 Visit ↗ Spring AI 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #3 in LLM Application Development Frameworks #4 in LLM Application Development Frameworks
Best for Multi-agent workflows across model providers Java teams building RAG and AI applications
Pricing model Free Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Docs, Community Docs, Community
Integrations 8 integrations 16 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Microsoft Agent Framework 0/5 · Spring AI 3/5
RAG support Not published ✓ (best)
Agent and tool use Not published ✓ (best)
Workflow graphs Not published Not published
Prompt optimization Not published ✓ (best)
JavaScript/TypeScript SDK Not published Not published
Specs
Primary language Not published Java
Open-source license Not published Apache-2.0
Our review
Pros
  • 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
  • Portable APIs cover multiple model providers and synchronous or streaming use.
  • RAG advisors, document ETL, evaluation, and observability support end-to-end workflows.
  • Connects to a broad range of model providers and vector stores.
Cons
  • 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
  • Java and Spring focus makes it less suited to teams using other application stacks.
  • Self-hosted deployment puts application operation on the adopting team.
  • Framework code requires developers to assemble and maintain the application.
Our verdict

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 →

Spring AI is an open-source Java framework for building AI-powered applications in the Spring ecosystem. It is aimed at teams that want to connect models, enterprise data, and application APIs while keeping model-provider implementations…

Read the review →
  1. Microsoft Agent FrameworkLLM Application Development Frameworks 9.1Free plan
  2. Spring AILLM Application Development Frameworks 9.0Free plan

Strengths and trade-offs

  • 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

  • Spring AI — where it wins

    • Portable APIs cover multiple model providers and synchronous or streaming use.
    • RAG advisors, document ETL, evaluation, and observability support end-to-end workflows.
    • Connects to a broad range of model providers and vector stores.

    Where it doesn't

    • Java and Spring focus makes it less suited to teams using other application stacks.
    • Self-hosted deployment puts application operation on the adopting team.
    • Framework code requires developers to assemble and maintain the application.
  • Microsoft Agent Framework9.1/10 · Free plan

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

    Visit MicrosoftFull verdict →
  • Spring AI9.0/10 · Free plan

    A free, open-source Java framework for building RAG and AI applications in Spring.

    Visit Spring AIFull 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