CrewAI icon

CrewAI

Open-source framework for orchestrating multi-agent AI systems and autonomous teams

vs
AutoGen (Microsoft) icon

AutoGen (Microsoft)

Microsoft's open-source framework for building conversational multi-agent AI systems

CrewAI
60%Moderate
15/25
AutoGen (Microsoft)
72%Strong
18/25

Score Breakdown

DimensionCrewAIAutoGen (Microsoft)
Data Residency
Where is your data stored and processed?
CrewAI: Self-hosted framework: maximum data sovereignty—deploy on any EU infrastructure. Cloud platform: US-hosted. Score reflects the self-hosted path which most serious EU deployments will use.
AutoGen (Microsoft): MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.
4/5
5/5
Legal Jurisdiction
Which laws govern the company and your data?
CrewAI: US-incorporated but Apache 2.0 open-source licence means self-hosted instances are not under vendor jurisdiction. Cloud platform falls under US jurisdiction. Self-hosted EU deployments achieve full EU legal control.
AutoGen (Microsoft): Published by Microsoft (US), but MIT licence means the framework is infrastructure-independent. Self-hosted EU deployments are not subject to Microsoft's jurisdiction. Azure integration is optional and not required for the framework to function.
3/5
3/5
Data Retention & Training
Is your data used for model training?
CrewAI: Self-hosted: full control over all agent data, task outputs, and intermediate results. Cloud platform has standard SaaS data retention. Open-source path provides maximum data lifecycle control.
AutoGen (Microsoft): Fully self-hosted: complete control over all agent conversation data, code execution outputs, and task results. No data sent to Microsoft unless Azure OpenAI is chosen as the LLM provider.
4/5
5/5
Certifications
ISO 27001, SOC 2, Cyber Essentials, etc.
CrewAI: No published independent security certifications for the company. Early-stage startup with self-attested security practices. For self-hosted enterprise deployments, your own security controls apply.
AutoGen (Microsoft): Open-source research framework with no published security certifications for the project itself. Enterprise deployments should apply their own security controls. The framework code has been reviewed by Microsoft Research.
1/5
1/5
Regulatory Fit
Suitability for regulated industries and professional services
CrewAI: Self-hosted on EU infrastructure with EU-sovereign LLM providers achieves excellent regulatory fit. Cloud platform not recommended for EU regulated industries. Good choice for technical teams building multi-agent AI systems with sovereignty requirements.
AutoGen (Microsoft): Excellent fit for technical EU teams building sovereign AI agent systems. MIT licence, any-LLM-provider support, and self-hosted deployment make this adaptable to any regulatory requirement. The framework imposes no data obligations; compliance is determined by your deployment choices.
3/5
4/5
Total Score
15/25
18/25

Best For

CrewAI iconCrewAI

Best for privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget.

AutoGen (Microsoft) iconAutoGen (Microsoft)

Best for privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget.

Detailed Comparison

AutoGen (Microsoft) vs CrewAI: Trust & Compliance Comparison

AutoGen (Microsoft) (Microsoft Research, US) scores 18/25 overall with a Silver (Strong) trust badge. Microsoft's open-source framework for building conversational multi-agent AI systems. CrewAI (CrewAI, US) scores 15/25 with a Bronze (Moderate) trust badge. Open-source framework for orchestrating multi-agent AI systems and autonomous teams.

Dimension-by-Dimension Breakdown

#### Data Residency

AutoGen (Microsoft) leads with 5/5 vs 4/5.

AutoGen (Microsoft) (5/5): MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.
CrewAI (4/5): Self-hosted framework: maximum data sovereignty—deploy on any EU infrastructure. Cloud platform: US-hosted. Score reflects the self-hosted path which most serious EU deployments will use.

#### Legal Jurisdiction

Both score equally at 3/5.

AutoGen (Microsoft) (3/5): Published by Microsoft (US), but MIT licence means the framework is infrastructure-independent. Self-hosted EU deployments are not subject to Microsoft's jurisdiction. Azure integration is optional and not required for the framework to function.
CrewAI (3/5): US-incorporated but Apache 2.0 open-source licence means self-hosted instances are not under vendor jurisdiction. Cloud platform falls under US jurisdiction. Self-hosted EU deployments achieve full EU legal control.

#### Data Retention & Training

AutoGen (Microsoft) leads with 5/5 vs 4/5.

AutoGen (Microsoft) (5/5): Fully self-hosted: complete control over all agent conversation data, code execution outputs, and task results. No data sent to Microsoft unless Azure OpenAI is chosen as the LLM provider.
CrewAI (4/5): Self-hosted: full control over all agent data, task outputs, and intermediate results. Cloud platform has standard SaaS data retention. Open-source path provides maximum data lifecycle control.

#### Certifications

Both score equally at 1/5.

AutoGen (Microsoft) (1/5): Open-source research framework with no published security certifications for the project itself. Enterprise deployments should apply their own security controls. The framework code has been reviewed by Microsoft Research.
CrewAI (1/5): No published independent security certifications for the company. Early-stage startup with self-attested security practices. For self-hosted enterprise deployments, your own security controls apply.

#### Regulatory Fit

AutoGen (Microsoft) leads with 4/5 vs 3/5.

AutoGen (Microsoft) (4/5): Excellent fit for technical EU teams building sovereign AI agent systems. MIT licence, any-LLM-provider support, and self-hosted deployment make this adaptable to any regulatory requirement. The framework imposes no data obligations; compliance is determined by your deployment choices.
CrewAI (3/5): Self-hosted on EU infrastructure with EU-sovereign LLM providers achieves excellent regulatory fit. Cloud platform not recommended for EU regulated industries. Good choice for technical teams building multi-agent AI systems with sovereignty requirements.

Overall Verdict

AutoGen (Microsoft) has a clear trust advantage, scoring 18/25 compared to CrewAI's 15/25. AutoGen (Microsoft) particularly excels in data residency, data retention & training, regulatory fit.

Frequently Asked Questions

Which is better for EU compliance, CrewAI or AutoGen (Microsoft)?

CrewAI has a TrustKit score of 15/25 while AutoGen (Microsoft) scores 18/25. AutoGen (Microsoft) currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do CrewAI and AutoGen (Microsoft) compare on data residency?

CrewAI scores 4/5 for data residency (Self-hosted framework: maximum data sovereignty—deploy on any EU infrastructure. Cloud platform: US-hosted. Score reflects the self-hosted path which most serious EU deployments will use.), while AutoGen (Microsoft) scores 5/5 (MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.).

Are CrewAI and AutoGen (Microsoft) GDPR compliant?

Both tools are assessed across five compliance dimensions. CrewAI has a regulatory fit score of 3/5 and AutoGen (Microsoft) scores 4/5. Check the full comparison above for a detailed breakdown.

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