CrewAI vs Google Agent Development Kit (ADK)

Detailed side-by-side comparison to help you choose the right tool

CrewAI

🔴Developer

AI Development Platforms

Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.

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Starting Price

Free

Google Agent Development Kit (ADK)

🔴Developer

AI Agent Framework

Google's open-source, code-first framework for building, evaluating, and deploying AI agents. Optimized for Gemini but works with any LLM.

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Starting Price

Contact

Feature Comparison

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FeatureCrewAIGoogle Agent Development Kit (ADK)
CategoryAI Development PlatformsAI Agent Framework
Pricing Plans4 tiers3 tiers
Starting PriceFreeContact
Key Features
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling
  • Code-first agent development
  • Model-agnostic architecture
  • Multi-agent orchestration

CrewAI - Pros & Cons

Pros

  • Role-based crew abstraction makes multi-agent design intuitive — define role, goal, backstory, and you're running
  • Fastest prototyping speed among multi-agent frameworks: working crew in under 50 lines of Python
  • LiteLLM integration provides plug-and-play access to 100+ LLM providers without code changes
  • CrewAI Flows enable structured pipelines with conditional logic beyond simple agent-to-agent handoffs
  • Active open-source community with 48K+ GitHub stars and support from 100,000+ certified developers

Cons

  • Token consumption scales linearly with crew size since each agent maintains full context independently
  • Sequential and hierarchical process modes cover common cases but lack flexibility for complex DAG-style workflows
  • Debugging multi-agent failures requires tracing through multiple agent contexts with limited built-in tooling
  • Memory system is basic compared to dedicated memory frameworks — no built-in vector store or long-term retrieval

Google Agent Development Kit (ADK) - Pros & Cons

Pros

  • Completely free and open-source
  • Model-agnostic despite Google origins
  • Strong Gemini optimization
  • Built-in evaluation framework
  • Backed by Google's engineering team
  • Clean Python-first API
  • Integrates with Vertex AI for production

Cons

  • Requires Python programming knowledge
  • Newer framework with smaller community than LangChain
  • Documentation still maturing
  • Best features tied to Google ecosystem
  • Steeper learning curve than no-code alternatives
  • Limited third-party integrations compared to competitors

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🔒 Security & Compliance Comparison

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Security FeatureCrewAIGoogle Agent Development Kit (ADK)
SOC2
GDPR
HIPAA
SSO🏢 Enterprise
Self-Hosted✅ Yes
On-Prem✅ Yes
RBAC🏢 Enterprise
Audit Log
Open Source✅ Yes
API Key Auth✅ Yes
Encryption at Rest
Encryption in Transit
Data Residency
Data Retentionconfigurable
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