SuperAGI vs 
Google ADK
SuperAGI vs Google ADK compared for 2026 — features, license, ease of use, performance and which one to choose. Dev-first autonomous agent platform vs Google's official Agent Development Kit.
Updated regularly · curated by OpenSourceAI.tech
SuperAGI vs Google ADK at a glance
| Spec | SuperAGI | Google ADK |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Autonomous agent framework | Agent framework |
| License | MIT | Apache-2.0 |
| Runs locally | Cloud-optional | Partial |
| Primary language | Python | Python |
| Ease of use | Advanced | Intermediate |
| Best for | running multiple agents with a GUI | production agents on the Google/Gemini stack |
| GitHub stars | 17.6k | 20.6k |
How SuperAGI and Google ADK score
| Criterion | SuperAGI | Google ADK |
|---|---|---|
| Popularity | 3.5 | 3.5 |
| Maintenance | 2.0 | 5.0 |
| Ease of use | 2.5 | 3.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 5.0 |
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
Google ADK
ADK is Google's code-first framework for building, evaluating and deploying agents: hierarchical multi-agent systems, workflow control, built-in eval and a path to Vertex AI.
- Model-agnostic but optimized for Gemini
- Workflow agents give deterministic orchestration
- Built-in evaluation and deployment story
Key differences
SuperAGI is autonomous agent framework, while Google ADK is agent framework. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. SuperAGI leans more advanced-friendly, whereas Google ADK is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Partial). In short, SuperAGI fits running multiple agents with a GUI, and Google ADK fits production agents on the Google/Gemini stack.
Which should you choose?
Choose SuperAGI for running multiple agents with a GUI. Choose Google ADK for production agents on the Google/Gemini stack.
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 Google ADK easier to use?
Google ADK is generally the easier of the two to get started with, while SuperAGI rewards more setup with more control.
Are SuperAGI and Google ADK free?
SuperAGI is free and open source (MIT), and Google ADK is free and open source (Apache-2.0). Neither charges for the core software.
Can I run SuperAGI and Google ADK locally?
SuperAGI: cloud-optional · Google ADK: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
SuperAGI vs Google ADK — which should I pick in 2026?
Choose SuperAGI for running multiple agents with a GUI. Choose Google ADK for production agents on the Google/Gemini stack.
People also compare
Explore more open-source AI
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →