AutoGen (Microsoft)

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

Wordware

Natural language IDE for building AI applications without traditional coding

AutoGen (Microsoft)

Strong

18/25

Wordware

Caution

11/25

Score Breakdown

DimensionAutoGen (Microsoft)Wordware

Data Residency

Where is your data stored and processed?

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.

Wordware: Data hosted on US cloud infrastructure. No EU data residency option available.

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.

2/5

Data hosted on US cloud infrastructure. No EU data residency option available.

Legal Jurisdiction

Which laws govern the company and your data?

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.

Wordware: US entity. Subject to US jurisdiction and CLOUD Act.

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.

2/5

US entity. Subject to US jurisdiction and CLOUD Act.

Data Retention & Training

Is your data used for model training?

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.

Wordware: User application data not used for platform training. Users can manage and delete their applications and data.

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.

3/5

User application data not used for platform training. Users can manage and delete their applications and data.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

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.

Wordware: No security certifications publicly disclosed. Early-stage startup without formal compliance programme.

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.

2/5

No security certifications publicly disclosed. Early-stage startup without formal compliance programme.

Regulatory Fit

Suitability for regulated industries and professional services

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.

Wordware: Development platform suitable for general use. No specific regulatory compliance features for highly regulated industries.

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.

2/5

Development platform suitable for general use. No specific regulatory compliance features for highly regulated industries.

Total Score

18/25

11/25

Best For

AutoGen (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.

Wordware

Best for teams on a tight budget.

Detailed Comparison

AutoGen (Microsoft) vs Wordware: 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. Wordware (Wordware, US) scores 11/25 with a Review Required (Caution) trust badge. Natural language IDE for building AI applications without traditional coding.

Dimension-by-Dimension Breakdown

#### Data Residency

AutoGen (Microsoft) leads with 5/5 vs 2/5.

●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.

●Wordware (2/5): Data hosted on US cloud infrastructure. No EU data residency option available.

#### Legal Jurisdiction

AutoGen (Microsoft) leads with 3/5 vs 2/5.

●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.

●Wordware (2/5): US entity. Subject to US jurisdiction and CLOUD Act.

#### Data Retention & Training

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

●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.

●Wordware (3/5): User application data not used for platform training. Users can manage and delete their applications and data.

#### Certifications

Wordware leads with 2/5 vs 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.

●Wordware (2/5): No security certifications publicly disclosed. Early-stage startup without formal compliance programme.

#### Regulatory Fit

AutoGen (Microsoft) leads with 4/5 vs 2/5.

●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.

●Wordware (2/5): Development platform suitable for general use. No specific regulatory compliance features for highly regulated industries.

Overall Verdict

AutoGen (Microsoft) has a clear trust advantage, scoring 18/25 compared to Wordware's 11/25. AutoGen (Microsoft) particularly excels in data residency, legal jurisdiction, data retention & training, regulatory fit.

Frequently Asked Questions

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

AutoGen (Microsoft) has a TrustKit score of 18/25 while Wordware scores 11/25. AutoGen (Microsoft) currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

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

AutoGen (Microsoft) scores 5/5 for data residency (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.), while Wordware scores 2/5 (Data hosted on US cloud infrastructure. No EU data residency option available.).

Are AutoGen (Microsoft) and Wordware GDPR compliant?

Both tools are assessed across five compliance dimensions. AutoGen (Microsoft) has a regulatory fit score of 4/5 and Wordware scores 2/5. Check the full comparison above for a detailed breakdown.

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