SuperAGI vs 
Phidata
SuperAGI vs Phidata compared for 2026 — features, license, ease of use, performance and which one to choose. Dev-first autonomous agent platform vs Agents with memory, knowledge and tools.
Updated regularly · curated by OpenSourceAI.tech
SuperAGI vs Phidata at a glance
| Spec | SuperAGI | Phidata |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Autonomous agent framework | Agent framework |
| License | MIT | MPL-2.0 |
| Runs locally | Cloud-optional | Yes |
| Primary language | Python | Python |
| Ease of use | Advanced | Beginner |
| Best for | running multiple agents with a GUI | agents that need to remember and retrieve |
| GitHub stars | 17.6k | — |
How SuperAGI and Phidata score
| Criterion | SuperAGI | Phidata |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 2.0 | n/a |
| Ease of use | 2.5 | 5.0 |
| Privacy | 3.5 | 5.0 |
| 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.
What each one is
SuperAGI
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
Phidata
Phidata builds agents that combine memory, a knowledge base and tools, and ships a UI to chat with and inspect them.
- Memory and knowledge built in
- Ships an agent inspection UI
- Simple, readable API
Key differences
SuperAGI is autonomous agent framework, while Phidata 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 Phidata is more suited to beginner users. They also differ in how they run (Cloud-optional vs Yes). In short, SuperAGI fits running multiple agents with a GUI, and Phidata fits agents that need to remember and retrieve.
Which should you choose?
Choose SuperAGI for running multiple agents with a GUI. Choose Phidata for agents that need to remember and retrieve.
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 Phidata easier to use?
Phidata is generally the easier of the two to get started with, while SuperAGI rewards more setup with more control.
Are SuperAGI and Phidata free?
SuperAGI is free and open source (MIT), and Phidata is free and open source (MPL-2.0). Neither charges for the core software.
Can I run SuperAGI and Phidata locally?
SuperAGI: cloud-optional · Phidata: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
SuperAGI vs Phidata — which should I pick in 2026?
Choose SuperAGI for running multiple agents with a GUI. Choose Phidata for agents that need to remember and retrieve.
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