Open-Source AI · AI agent framework

CAMEL vs Google ADK

CAMEL vs Google ADK compared for 2026 — features, license, ease of use, performance and which one to choose. The research framework for agent societies vs Google's official Agent Development Kit.

Updated regularly · curated by OpenSourceAI.tech

Choose CAMEL for research and large-scale multi-agent simulation. Choose Google ADK for production agents on the Google/Gemini stack.

CAMEL vs Google ADK at a glance

SpecCAMELGoogle ADK
CategoryAI agent frameworkAI agent framework
TypeMulti-agent frameworkAgent framework
LicenseApache-2.0Apache-2.0
Runs locallyPartialPartial
Primary languagePythonPython
Ease of useAdvancedIntermediate
Best forresearch and large-scale multi-agent simulationproduction agents on the Google/Gemini stack
GitHub stars17.4k20.6k

Feature comparison

FeatureCAMELGoogle ADK
Multi-agent
Tool / function calling
Code execution
Memory
Human-in-the-loop
Graph control

How CAMEL and Google ADK score

🤝 Too close to call — CAMEL and Google ADK land within a hair (3.9 vs 4.1 / 5). Pick on fit, not on score.
CriterionCAMELGoogle ADK
Popularity3.53.5
Maintenance5.05.0
Ease of use2.53.5
Privacy3.53.5
License freedom5.05.0

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

CAMEL

Multi-agent framework · Apache-2.0

CAMEL pioneered role-playing multi-agent systems: build societies of communicating agents for synthetic data, task automation and research on agent behavior at scale.

  • Pioneer of role-playing agent communication
  • Scales to societies of many agents
  • Strong academic backing and active research
See the CAMEL page →

Google ADK

Agent framework · Apache-2.0

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
See the Google ADK page →

Key differences

CAMEL is multi-agent framework, while Google ADK is agent framework. CAMEL leans more advanced-friendly, whereas Google ADK is more suited to intermediate users. In short, CAMEL fits research and large-scale multi-agent simulation, and Google ADK fits production agents on the Google/Gemini stack.

Which should you choose?

Choose CAMEL for research and large-scale multi-agent simulation. 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 CAMEL or Google ADK easier to use?

Google ADK is generally the easier of the two to get started with, while CAMEL rewards more setup with more control.

Are CAMEL and Google ADK free?

CAMEL is free and open source (Apache-2.0), and Google ADK is free and open source (Apache-2.0). Neither charges for the core software.

Can I run CAMEL and Google ADK locally?

CAMEL: partial · Google ADK: partial. Both can be used without sending your data to a third-party cloud where their setup allows.

CAMEL vs Google ADK — which should I pick in 2026?

Choose CAMEL for research and large-scale multi-agent simulation. Choose Google ADK for production agents on the Google/Gemini stack.

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