AutoGen vs 
Google ADK
AutoGen vs Google ADK compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's conversational agent framework vs Google's official Agent Development Kit.
Updated regularly · curated by OpenSourceAI.tech
AutoGen vs Google ADK at a glance
| Spec | AutoGen | Google ADK |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Multi-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 | researchers building conversational agent systems | production agents on the Google/Gemini stack |
| GitHub stars | 59.7k | 20.6k |
Feature comparison
| Feature | AutoGen | Google ADK |
|---|---|---|
| Multi-agent | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| Code execution | ✓ | ✓ |
| Memory | ✓ | ✓ |
| Human-in-the-loop | ✓ | ✓ |
| Graph control | ✗ | ✓ |
How AutoGen and Google ADK score
| Criterion | AutoGen | Google ADK |
|---|---|---|
| Popularity | 4.5 | 3.5 |
| Maintenance | 4.5 | 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
AutoGen
AutoGen — the official full name, short for “Automated Generation” — is Microsoft’s open-source framework for building multi-agent AI systems where agents converse to solve tasks, with strong support for code execution and tool use.
- Flexible multi-agent conversation patterns
- Strong code-execution and tool-use support
- Backed by Microsoft Research
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
AutoGen is multi-agent framework, while Google ADK is agent framework. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. AutoGen 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, AutoGen fits researchers building conversational agent systems, and Google ADK fits production agents on the Google/Gemini stack.
Which should you choose?
Choose AutoGen for researchers building conversational agent systems. 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 AutoGen or Google ADK easier to use?
Google ADK is generally the easier of the two to get started with, while AutoGen rewards more setup with more control.
Are AutoGen and Google ADK free?
AutoGen 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 AutoGen and Google ADK locally?
AutoGen: cloud-optional · Google ADK: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
AutoGen vs Google ADK — which should I pick in 2026?
Choose AutoGen for researchers building conversational agent systems. Choose Google ADK for production agents on the Google/Gemini stack.
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