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Head-to-head · LLM Application Development Frameworks

Microsoft Agent Framework vs Apache Burr

  • Updated Oct 2026
  • Both researched from official sources
  • 5 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
Apache Burr #6 in LLM Application Development Frameworks 8.8/10 Free plan Free plan✓ 3 of 5 features Visit Apache Burr

Microsoft Agent Framework leads on 0 checks, Apache Burr on 3, and 2 are even. Who comes out ahead on the 5 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 featuresApache Burr · 3 of 5

Microsoft Agent Framework scores higher on our rubric for llm application development frameworks: 9.1 against 8.8 out of 10; our editors rank them #3 and #6.

Apache Burr offers rag support; Microsoft Agent Framework doesn't publish it. Apache Burr offers agent and tool use; Microsoft Agent Framework doesn't publish it. Apache Burr offers workflow graphs; Microsoft Agent Framework doesn't publish it.

Microsoft Agent Framework is the better fit for multi-agent workflows across model providers. Apache Burr is the better fit for stateful, inspectable workflow applications.

  • Microsoft Agent Framework fits best

    Multi-agent workflows across model providers

  • Apache Burr fits best

    Stateful, inspectable workflow applications

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Side by side

Feature Microsoft Agent Framework 9.1/10 Visit ↗ Apache Burr 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #3 in LLM Application Development Frameworks #6 in LLM Application Development Frameworks
Best for Multi-agent workflows across model providers Stateful, inspectable workflow applications
Pricing model Free Free
Starting price Not published Not published
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Support Docs, Community Community, Docs
Integrations 8 integrations 15 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Microsoft Agent Framework 0/5 · Apache Burr 3/5
RAG support Not published ✓ (best)
Agent and tool use Not published ✓ (best)
Workflow graphs Not published ✓ (best)
Prompt optimization Not published Not published
JavaScript/TypeScript SDK Not published —
Specs
Primary language Not published Python
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
  • Immutable state, persistence, and resumable human-input pauses
  • Parallel actions and branches support complex workflows
  • Burr UI exposes execution telemetry for inspection and debugging
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
  • Python-focused; no official JavaScript or TypeScript SDK is identified
  • Requires developers to implement LLM calls within actions
  • Fewer ready-made model integrations and agent capabilities than some alternatives
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 →

Apache Burr is an open-source Python framework for building applications from actions, transitions, and explicit state. It is aimed at developers orchestrating chatbots, agents, conversational retrieval workflows, and other applications…

Read the review →
  1. Microsoft Agent FrameworkLLM Application Development Frameworks 9.1Free plan
  2. Apache BurrLLM Application Development Frameworks 8.8Free 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

  • Apache Burr — where it wins

    • Immutable state, persistence, and resumable human-input pauses
    • Parallel actions and branches support complex workflows
    • Burr UI exposes execution telemetry for inspection and debugging

    Where it doesn't

    • Python-focused; no official JavaScript or TypeScript SDK is identified
    • Requires developers to implement LLM calls within actions
    • Fewer ready-made model integrations and agent capabilities than some alternatives

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