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Haystack vs AutoGen

HaystackAutoGen

Bottom line: Haystack for teams building production RAG and search; AutoGen for teams already running AutoGen in production.

HaystackHaystack

deepset's composable open-source framework for RAG and agent pipelines.

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AutoGenAutoGen

Microsoft's multi-agent conversation framework (now in maintenance mode).

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Votes00
PricingFreemiumFree
CategoryAgent FrameworksAgent Frameworks
Tags
ragllm-frameworkopen-sourcesearchpipelines
agentsmulti-agentopen-sourcemicrosoftorchestration
Best for
  • Teams building production RAG and search
  • Enterprises wanting self-hostable NLP pipelines
  • Developers who prefer explicit, typed pipelines
  • Teams already running AutoGen in production
  • Researchers studying multi-agent systems
  • Developers prototyping agent collaboration
Pros
  • Composable, typed pipeline model is clear and flexible
  • Apache-2.0 core, free to self-host with no lock-in
  • Strong retrieval and search heritage
  • Broad integrations with model and vector stores
  • Built-in evaluation tooling
  • Pioneered accessible multi-agent conversation patterns
  • Free and open source
  • Backed by Microsoft Research with strong documentation
  • 0.4 architecture is asynchronous and more observable
  • Works with many model providers
Cons
  • Engineering framework, not a turnkey app
  • Managed deepset pricing is largely quote-based
  • 2.x rewrite means older 1.x tutorials are outdated
  • Skews toward retrieval more than general agents
  • Requires pipeline-design comfort
  • In maintenance mode as of 2026, no new feature focus
  • Microsoft steers new projects to the Agent Framework
  • Multiple version lines (0.2 vs 0.4/0.7) cause confusion
  • Multi-agent loops can be hard to control and cost-predict
  • Less enterprise tooling than the successor framework

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