Microsoft AutoGenvsHaystack

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

Haystack

Data & ETL

Open-source LLM framework for building NLP pipelines

FeatureMicrosoft AutoGenHaystack
CategoryAI Agent FrameworksData & ETL
PricingFree (open-source)Free (open-source)
GitHub Stars
More stars
35k
18k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows, Docker
Key Features
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
  • Pipeline builder
  • RAG
  • Document processing
  • Model serving
  • REST API
Pros
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
  • + Production-grade RAG pipelines
  • + Clean pipeline abstraction
  • + Strong documentation
  • + Multiple backend support
  • + Enterprise ready
Cons
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
  • Steeper learning curve than LlamaIndex
  • Less community content
  • Breaking changes between versions
  • Heavy framework
Tags
multi-agentmicrosoftconversationsopen-source
ragnlppipelineopen-source

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