AutoGen (Microsoft) icon

AutoGen (Microsoft)

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

vs
LlamaIndex icon

LlamaIndex

Data framework for building LLM applications with your own data and knowledge

AutoGen (Microsoft)
72%Strong
18/25
LlamaIndex
64%Moderate
16/25

Score Breakdown

DimensionAutoGen (Microsoft)LlamaIndex
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.
LlamaIndex: Open-source framework: deploy on any EU infrastructure—maximum data sovereignty. LlamaCloud: US-hosted, not recommended for EU sensitive data. Score reflects self-hosted framework path.
5/5
4/5
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.
LlamaIndex: US-incorporated but MIT-licensed open-source framework is infrastructure-independent. Self-hosted EU deployments are not subject to vendor jurisdiction. LlamaCloud falls under US jurisdiction.
3/5
3/5
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.
LlamaIndex: Self-hosted framework: full control over document data, embeddings, and query history. No data sent to LlamaIndex. LlamaCloud has standard SaaS retention. Self-hosted path is the appropriate choice for sensitive EU data.
5/5
5/5
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.
LlamaIndex: No published independent security certifications. Early-stage company building primarily on open-source distribution. Enterprise security is determined by your own deployment controls.
1/5
1/5
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.
LlamaIndex: Self-hosted on EU infrastructure enables excellent regulatory compliance. LlamaCloud not recommended for EU regulated industries. Strong choice for technical teams building RAG and knowledge base systems with sovereignty requirements.
4/5
3/5
Total Score
18/25
16/25

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.

LlamaIndex iconLlamaIndex

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 LlamaIndex: 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. LlamaIndex (LlamaIndex, US) scores 16/25 with a Bronze (Moderate) trust badge. Data framework for building LLM applications with your own data and knowledge.

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.
LlamaIndex (4/5): Open-source framework: deploy on any EU infrastructure—maximum data sovereignty. LlamaCloud: US-hosted, not recommended for EU sensitive data. Score reflects self-hosted framework path.

#### 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.
LlamaIndex (3/5): US-incorporated but MIT-licensed open-source framework is infrastructure-independent. Self-hosted EU deployments are not subject to vendor jurisdiction. LlamaCloud falls under US jurisdiction.

#### Data Retention & Training

Both score equally at 5/5.

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.
LlamaIndex (5/5): Self-hosted framework: full control over document data, embeddings, and query history. No data sent to LlamaIndex. LlamaCloud has standard SaaS retention. Self-hosted path is the appropriate choice for sensitive EU data.

#### 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.
LlamaIndex (1/5): No published independent security certifications. Early-stage company building primarily on open-source distribution. Enterprise security is determined by your own deployment controls.

#### 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.
LlamaIndex (3/5): Self-hosted on EU infrastructure enables excellent regulatory compliance. LlamaCloud not recommended for EU regulated industries. Strong choice for technical teams building RAG and knowledge base systems with sovereignty requirements.

Overall Verdict

AutoGen (Microsoft) has a clear trust advantage, scoring 18/25 compared to LlamaIndex's 16/25. AutoGen (Microsoft) particularly excels in data residency, regulatory fit.

Frequently Asked Questions

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

AutoGen (Microsoft) has a TrustKit score of 18/25 while LlamaIndex scores 16/25. AutoGen (Microsoft) currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do AutoGen (Microsoft) and LlamaIndex 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 LlamaIndex scores 4/5 (Open-source framework: deploy on any EU infrastructure—maximum data sovereignty. LlamaCloud: US-hosted, not recommended for EU sensitive data. Score reflects self-hosted framework path.).

Are AutoGen (Microsoft) and LlamaIndex GDPR compliant?

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

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