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smolagents vs Agno

smolagentsAgno

Bottom line: smolagents for developers wanting minimal frameworks; Agno for python teams building agents.

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

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High-performance Python framework for building multi-agent systems and AgentOS

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Votes00
PricingFreeFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
ai-agentsopen-sourcecode-agentshugging-facepython
multi-agentpythonagentopsragopen-source
Best for
  • Developers wanting minimal frameworks
  • Researchers prototyping agents
  • Hugging Face ecosystem users
  • Python teams building agents
  • Teams wanting predictable flat pricing
  • Multi-agent system builders
Pros
  • Extremely small, readable codebase
  • Code-first agent actions
  • Model-agnostic via LiteLLM and Hub
  • Free and fully open source
  • Hugging Face Hub sharing
  • Performance-focused, Python-first design
  • Full local control plane free of charge
  • Flat pricing with no token or egress fees
  • Built-in knowledge, memory, and evals
  • Model-agnostic across major 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
  • Python-only framework
  • Pro plan starts relatively high at $150/month
  • Additional connections and seats add up
  • Rebrand from Phidata may cause some confusion
  • Ecosystem younger than the largest frameworks

Comparison generated from each tool's listing. Add or remove tools above to change it.