SuperAGI vs
AgnoSuperAGI 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
| Spec | SuperAGI | Agno |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Autonomous agent framework | Agent framework |
| License | MIT | MPL-2.0 |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python | Python |
| Ease of use | Advanced | Intermediate |
| Best for | running multiple agents with a GUI | fast agents with memory and tools |
| GitHub stars | 17.6k | 41.3k |
| Criterion | SuperAGI | Agno |
|---|---|---|
| Popularity | 3.5 | 4.0 |
| Maintenance | 2.0 | 5.0 |
| Ease of use | 2.5 | 3.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 3.5 |
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.
SuperAGI is a developer-first framework to build, manage and run autonomous agents concurrently, with toolkits, a GUI and performance telemetry.
AgnoAgno (formerly Phidata) is a lightweight, high-performance framework for building multi-modal agents with memory, knowledge and tools, plus a monitoring UI.
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.
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.
Agno is generally the easier of the two to get started with, while SuperAGI rewards more setup with more control.
SuperAGI is free and open source (MIT), and Agno is free and open source (MPL-2.0). Neither charges for the core software.
SuperAGI: cloud-optional · Agno: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose SuperAGI for running multiple agents with a GUI. Choose Agno for fast agents with memory and tools.
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