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Union.ai vs AutoGen

Union.aiAutoGen

Bottom line: Union.ai for mL engineers; AutoGen for teams already running AutoGen in production.

Union.aiUnion.ai

Durable AI and ML orchestration built on Flyte 2

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AutoGenAutoGen

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

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Votes00
PricingFreemiumFree
CategoryMlopsAgent Frameworks
Tags
mlopsorchestrationflyteworkflowsdurable-runtime
agentsmulti-agentopen-sourcemicrosoftorchestration
Best for
  • ML engineers
  • Data platform teams
  • Production ML orgs
  • Teams already running AutoGen in production
  • Researchers studying multi-agent systems
  • Developers prototyping agent collaboration
Pros
  • Built on proven open-source Flyte
  • Flyte 2 durable, infrastructure-aware runtime
  • Author workflows in pure Python, no new DSL
  • Automatic recovery from failures
  • Enterprise features: observability, SSO, RBAC
  • 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
  • Python-centric workflow authoring
  • Orchestration concepts have a learning curve
  • Enterprise features are paid
  • Kubernetes knowledge helps for self-hosting
  • Overkill for very simple pipelines
  • 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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