AutoGen (Microsoft) icon

AutoGen (Microsoft)

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

vs
Flowise icon

Flowise

Open-source low-code tool for building LLM applications and AI agents visually

AutoGen (Microsoft)
72%Strong
18/25
Flowise
68%Strong
17/25

Score Breakdown

DimensionAutoGen (Microsoft)Flowise
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.
Flowise: Self-hosted deployment provides maximum data sovereignty—data stays entirely within your own infrastructure. Score reflects self-hosted path. Cloud product is US-hosted (score 1).
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.
Flowise: US-incorporated company but open-source Apache 2.0 licence means self-hosted instances are independent of vendor jurisdiction. For self-hosted EU deployments, your infrastructure jurisdiction governs. Cloud product 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.
Flowise: Self-hosted: full control over all data lifecycle. No data leaves your infrastructure. Conversation history, documents, and embeddings are entirely under your management.
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.
Flowise: Early-stage company with no published independent security certifications. Open-source self-hosted path means your own security controls apply. Cloud product has no published certifications.
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.
Flowise: Self-hosted on EU infrastructure with EU-sovereign LLM providers achieves excellent regulatory fit for EU organisations. Cloud product not recommended for regulated EU industries. Good choice for technical teams building sovereignty-first AI applications.
4/5
3/5
Total Score
18/25
17/25

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.

Flowise iconFlowise

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 Flowise: 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. Flowise (FlowiseAI, US) scores 17/25 with a Silver (Strong) trust badge. Open-source low-code tool for building LLM applications and AI agents visually.

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.
Flowise (5/5): Self-hosted deployment provides maximum data sovereignty—data stays entirely within your own infrastructure. Score reflects self-hosted path. Cloud product is US-hosted (score 1).

#### 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.
Flowise (3/5): US-incorporated company but open-source Apache 2.0 licence means self-hosted instances are independent of vendor jurisdiction. For self-hosted EU deployments, your infrastructure jurisdiction governs. Cloud product 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.
Flowise (5/5): Self-hosted: full control over all data lifecycle. No data leaves your infrastructure. Conversation history, documents, and embeddings are entirely under your management.

#### 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.
Flowise (1/5): Early-stage company with no published independent security certifications. Open-source self-hosted path means your own security controls apply. Cloud product has no published certifications.

#### 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.
Flowise (3/5): Self-hosted on EU infrastructure with EU-sovereign LLM providers achieves excellent regulatory fit for EU organisations. Cloud product not recommended for regulated EU industries. Good choice for technical teams building sovereignty-first AI applications.

Overall Verdict

AutoGen (Microsoft) and Flowise are closely matched on trust and compliance, with scores of 18/25 and 17/25 respectively. The right choice depends on your specific regulatory requirements and existing technology stack.

Frequently Asked Questions

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

AutoGen (Microsoft) has a TrustKit score of 18/25 while Flowise scores 17/25. AutoGen (Microsoft) currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do AutoGen (Microsoft) and Flowise 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 Flowise scores 5/5 (Self-hosted deployment provides maximum data sovereignty—data stays entirely within your own infrastructure. Score reflects self-hosted path. Cloud product is US-hosted (score 1).).

Are AutoGen (Microsoft) and Flowise GDPR compliant?

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

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