Agno vs Dust

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated August 2026

Agno

Agno Inc.

Agent framework & high-performance runtime for multi-agent systems

Open Source

78% verification coverage

Dust

Multiplayer AI for human-agent collaboration

Freemium

78% verification coverage

Trust & Reliability

Agno

Uptime:100%Status page

Users:10K-100K

Dust

Users:1K-10K

Customers (per vendor):Datadog, Clay, Cursor +7

GDPR

SOC 2

HIPAA

Too Close to Call

Dust (7.6) vs Agno (7.2) — difference of 0.3 points

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

Agno

7.2

avg score

Dust

7.6

avg score

Both tools score very similarly overall — the best choice depends on your specific priorities.

Based on 12 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Too close to call — it's a tie

Agno

Best For

Engineering teams building custom AI agent platforms for internal use

Developers needing a flexible, high-performance runtime for multi-agent systems

Companies requiring full data privacy and control over their AI infrastructure

Enterprises integrating AI agents into existing cloud environments (AWS, GCP, Azure)

Consider Alternatives If

Non-technical users seeking a no-code AI solution

Individuals or small teams without cloud infrastructure management experience

Users who prefer fully managed, black-box AI services

Dust

Best For

Mid-market to enterprise teams seeking to deploy AI agents across multiple departments

Companies needing to connect AI agents to diverse internal knowledge bases and SaaS tools

Organizations requiring robust security, governance, and audit capabilities for AI adoption

Teams looking to automate complex, multi-step workflows with human oversight

Consider Alternatives If

Individual users or very small teams without complex, multi-departmental workflows

Organizations that require full on-premise deployment without any cloud component

Users seeking a simple, single-purpose AI tool without extensive integrations

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Agno is best for

🎨Image & Design7.0📊Data & Analytics7.0

Dust is best for

🎨Image & Design9.0📊Data & Analytics8.0🎧Customer Support3.0

Filter by your use case:

Pros & Cons

Agno

Pros

Open-source framework with a strong community
High-performance runtime with minimal memory footprint
Supports any model and any agent framework
Ensures full data privacy by running in your cloud
Provides comprehensive observability and governance features
Offers flexible deployment options (AWS, GCP, Docker, Kubernetes)

Cons

Requires Python knowledge for framework usage
Advanced features like custom SSO are in Enterprise tier
Relies on external model providers for AI capabilities
Documentation can be extensive for new users
Community support is primary for free tier users

Dust

Pros

Connects to a wide array of internal tools and data sources (70+ connectors)
Offers flexibility to choose from 20+ frontier and open-source AI models
Provides robust enterprise-grade security features including SOC 2 Type II and GDPR compliance
Supports granular access control, SSO, SCIM, and audit logs
Enables human-in-the-loop collaboration for complex agent workflows

Cons

Credit-based pricing can be complex to predict for varied usage
Free plan has limited credits (500 lifetime)
No explicit mention of offline mode for agents
Requires integration setup for each connected tool
No clear indication of support for custom fine-tuning of models within the platform

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customization5

Support5

Integration5

Accuracy & Reliability5

Compliance & Data Protection5

Performance5

Task Completion5

Tool Use Correctness5

Planning Quality5

Dimension Comparison

Agno

7.2

/ 10

Dust

7.6

/ 10

Your pick

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

Agno

6.0

Dust

6.0

Output Quality

How accurate, reliable, and useful are the outputs this product generates?

Agno

8.0

Dust

8.0

Value for Money

How well does the pricing match the features and output quality delivered?

Agno

7.0

Dust

7.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

Agno

9.0

Dust

10.0▲ +1.0

Support

How strong is the documentation, customer support, community, and learning resources?

Agno

7.0

Dust

7.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

Agno

8.0

Dust

8.0

Accuracy & Reliability

Factual accuracy and hallucination resistance

Agno

9.0▲ +1.0

Dust

8.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, aggregated from verified compliance signals

Agno

3.0

Dust

6.0▲ +3.0

Performance

Calculated

Latency + throughput speed

Agno

8.0

Dust

8.0

Task Completion

End-to-end task success rate

Agno

—

Dust

—

Tool Use Correctness

Picks the correct tool + correct arguments

Agno

—

Dust

—

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Agno

—

Dust

—

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

Agno

Task

Dust

1.0

Drag And Drop

7.0

1.0

Template Quality

6.0

7.0

Database Integration

8.0

1.0

Responsive Output

7.0

8.0

Deployment Ease

8.0

9.0

Custom Logic

9.0

7.0

Third Party Connectors

9.0

8.0

User Authentication

9.0

1.0

Form Builder

6.0

1.0

Mobile Support

3.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Agno or Dust?

Both are strong options. Agno is a strong choice, while Dust is a strong choice. The best choice depends on your specific use case, budget, and workflow requirements.

Is Agno cheaper than Dust?

Agno starts at free (open_source model). Dust starts at free (freemium model) with a free trial. Use the Cost Calculator above for a detailed estimate.

What are the main differences between Agno and Dust?

Agno — "Agent framework & high-performance runtime for multi-agent systems". Dust — "Multiplayer AI for human-agent collaboration". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Agno and Dust together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Agno and Dust with other tools and save your AI toolkit.

Does Agno or Dust have a free plan?

Agno is a paid tool. Dust is available for free with a free trial. Always verify current pricing directly with the vendor.

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