AutoGen (Microsoft) icon

AutoGen (Microsoft)

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

vs
deepset (Haystack) icon

deepset (Haystack)

German AI company behind Haystack — the open-source framework for building production RAG and agent applications

AutoGen (Microsoft)
72%Strong
18/25
deepset (Haystack)
96%Excellent
24/25

Score Breakdown

DimensionAutoGen (Microsoft)deepset (Haystack)
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.
deepset (Haystack): EU hosting available for managed platform. On-premises and air-gapped deployments fully supported. Open-source framework runs entirely locally with zero external data flow.
5/5
5/5
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.
deepset (Haystack): German GmbH, fully under EU law. Berlin headquarters. No US parent company. Investors include EU and US VCs but corporate governance remains German.
3/5
5/5
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.
deepset (Haystack): Terms restrict data use to anonymised system data only. No explicit public 'we don't train' statement, but contractual restrictions are clear. Self-hosted gives full control.
5/5
4/5
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.
deepset (Haystack): SOC 2 Type II, ISO 27001, HIPAA, and CSA STAR Level 1. Comprehensive certification suite for enterprise procurement. Third-party DPO (secjur).
1/5
5/5
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.
deepset (Haystack): German GmbH with EU hosting, self-hosting option, and strong certifications. One of the best-positioned AI developer tools for EU regulated industries including financial services and healthcare.
4/5
5/5
Total Score
18/25
24/25

Best For

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.

deepset (Haystack) icondeepset (Haystack)

Best for EU-headquartered organisations needing maximum data sovereignty; organisations requiring broad certification coverage (SOC 2 Type II, ISO 27001, CSA STAR Level 1); regulated industries (BaFin, CNIL); privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget; enterprises requiring SSO integration.

Detailed Comparison

AutoGen (Microsoft) vs deepset (Haystack): 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. deepset (Haystack) (deepset, DE) scores 24/25 with a Gold (Excellent) trust badge. German AI company behind Haystack — the open-source framework for building production RAG and agent applications.

Dimension-by-Dimension Breakdown

#### Data Residency

Both score equally at 5/5.

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.
deepset (Haystack) (5/5): EU hosting available for managed platform. On-premises and air-gapped deployments fully supported. Open-source framework runs entirely locally with zero external data flow.

#### Legal Jurisdiction

deepset (Haystack) leads with 5/5 vs 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.
deepset (Haystack) (5/5): German GmbH, fully under EU law. Berlin headquarters. No US parent company. Investors include EU and US VCs but corporate governance remains German.

#### 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.
deepset (Haystack) (4/5): Terms restrict data use to anonymised system data only. No explicit public 'we don't train' statement, but contractual restrictions are clear. Self-hosted gives full control.

#### Certifications

deepset (Haystack) leads with 5/5 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.
deepset (Haystack) (5/5): SOC 2 Type II, ISO 27001, HIPAA, and CSA STAR Level 1. Comprehensive certification suite for enterprise procurement. Third-party DPO (secjur).

#### Regulatory Fit

deepset (Haystack) leads with 5/5 vs 4/5.

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.
deepset (Haystack) (5/5): German GmbH with EU hosting, self-hosting option, and strong certifications. One of the best-positioned AI developer tools for EU regulated industries including financial services and healthcare.

Certifications at a Glance

CertificationAutoGen (Microsoft)deepset (Haystack)
CSA STAR Level 1NoYes
ISO 27001NoYes
SOC 2 Type IINoYes

Overall Verdict

deepset (Haystack) has a clear trust advantage, scoring 24/25 compared to AutoGen (Microsoft)'s 18/25. deepset (Haystack) particularly excels in legal jurisdiction, certifications, regulatory fit.

Frequently Asked Questions

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

AutoGen (Microsoft) has a TrustKit score of 18/25 while deepset (Haystack) scores 24/25. deepset (Haystack) currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do AutoGen (Microsoft) and deepset (Haystack) 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 deepset (Haystack) scores 5/5 (EU hosting available for managed platform. On-premises and air-gapped deployments fully supported. Open-source framework runs entirely locally with zero external data flow.).

Are AutoGen (Microsoft) and deepset (Haystack) GDPR compliant?

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

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