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smolagents vs AutoGen

smolagentsAutoGen

Bottom line: smolagents for developers wanting minimal frameworks; AutoGen for teams already running AutoGen in production.

smolagentssmolagents

A barebones open-source library for agents that think in code

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AutoGenAutoGen

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

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Votes00
PricingFreeFree
CategoryAgent FrameworksAgent Frameworks
Tags
ai-agentsopen-sourcecode-agentshugging-facepython
agentsmulti-agentopen-sourcemicrosoftorchestration
Best for
  • Developers wanting minimal frameworks
  • Researchers prototyping agents
  • Hugging Face ecosystem users
  • Teams already running AutoGen in production
  • Researchers studying multi-agent systems
  • Developers prototyping agent collaboration
Pros
  • Extremely small, readable codebase
  • Code-first agent actions
  • Model-agnostic via LiteLLM and Hub
  • Free and fully open source
  • Hugging Face Hub sharing
  • 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
  • Minimalism means fewer built-in features
  • No managed hosting or dashboard
  • Limited enterprise tooling
  • Code execution requires sandboxing care
  • Smaller feature set than large frameworks
  • 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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