Open-Source AI · AI agent framework

SuperAGI vs Agno

SuperAGI vs Agno compared for 2026 — features, license, ease of use, performance and which one to choose. Dev-first autonomous agent platform vs Fast, lightweight multi-modal agents.

Updated regularly · curated by olud.ai

Choose SuperAGI for running multiple agents with a GUI. Choose Agno for fast agents with memory and tools.

SuperAGI vs Agno at a glance

SpecSuperAGIAgno
CategoryAI agent frameworkAI agent framework
TypeAutonomous agent frameworkAgent framework
LicenseMITMPL-2.0
Runs locallyCloud-optionalCloud-optional
Primary languagePythonPython
Ease of useAdvancedIntermediate
Best forrunning multiple agents with a GUIfast agents with memory and tools
GitHub stars17.6k41.3k

How SuperAGI and Agno score

🏆 Overall edge: Agno — 3.9 vs 3.3 / 5
CriterionSuperAGIAgno
Popularity3.54.0
Maintenance2.05.0
Ease of use2.53.5
Privacy3.53.5
License freedom5.03.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

SuperAGI

Autonomous agent framework · MIT

SuperAGI is a developer-first framework to build, manage and run autonomous agents concurrently, with toolkits, a GUI and performance telemetry.

  • Run concurrent agents from a GUI
  • Toolkits and agent templates
  • Telemetry and performance tracking
See the SuperAGI page →

Agno

Agent framework · MPL-2.0

Agno (formerly Phidata) is a lightweight, high-performance framework for building multi-modal agents with memory, knowledge and tools, plus a monitoring UI.

  • Very fast agent instantiation
  • Built-in memory, knowledge and tools
  • Multi-modal and model-agnostic
See the Agno page →

Key differences

SuperAGI is autonomous agent framework, while Agno is agent framework. Their licenses differ (MIT vs MPL-2.0), which matters if you ship a commercial product. SuperAGI leans more advanced-friendly, whereas Agno is more suited to intermediate users. In short, SuperAGI fits running multiple agents with a GUI, and Agno fits fast agents with memory and tools.

Which should you choose?

Choose SuperAGI for running multiple agents with a GUI. Choose Agno for fast agents with memory and tools.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is SuperAGI or Agno easier to use?

Agno is generally the easier of the two to get started with, while SuperAGI rewards more setup with more control.

Are SuperAGI and Agno free?

SuperAGI is free and open source (MIT), and Agno is free and open source (MPL-2.0). Neither charges for the core software.

Can I run SuperAGI and Agno locally?

SuperAGI: cloud-optional · Agno: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.

SuperAGI vs Agno — which should I pick in 2026?

Choose SuperAGI for running multiple agents with a GUI. Choose Agno for fast agents with memory and tools.

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