Agno vs Dust
Comprehensive side-by-side comparison — features, pricing, performance, and more.
Updated April 2026
Trust & Reliability
Agno
Users:10K-100K
Dust
Uptime:99.9%
Users:1K-10K
Customers (per vendor):Blueground, Clay, Assembled +7
GDPR
SOC 2
HIPAA
Too Close to Call
Dust (7.8) vs Agno (7.5) — difference of 0.3 points
AI Comparison Summary
Agno
7.5
avg score
Dust
7.8
avg score
Dust leads overall — particularly in Integration Power.
Based on 6 dimensions
How scores are calculatedOverall Winner
Dust
7.8 / 10
Agno
Best For
Building and deploying multi-agent systems for developers
Orchestrating complex AI workflows in production environments
Ensuring data privacy and security for agentic applications
Teams needing high-performance and low-latency agent execution
Not Ideal For
Non-technical users seeking a no-code agent builder
Teams unwilling to manage their own cloud infrastructure
Simple, single-step automation tasks that don't require agentic capabilities
Dust
Best For
Enterprise teams automating complex workflows
Organizations needing secure, compliant AI solutions
Departments like Sales, Marketing, and Customer Support seeking efficiency
Engineering teams for code-related automation
Not Ideal For
Individuals or very small teams with limited budget for per-user pricing
Users seeking a simple, single-purpose AI assistant without complex workflows
Organizations that require on-premise deployment only
* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology
Agno is best for
🤖Automation & Agents8.3
Dust is best for
🤖Automation & Agents8.3
Filter by your use case:
Pros & Cons
AgnoPros
- Runs entirely in your cloud, ensuring data privacy and control with no egress costs
- Significantly faster agent instantiation and lower memory footprint than competitors
- Flexible and agnostic, supporting any LLM, database, and cloud provider
- Comprehensive control plane for real-time monitoring, tracing, and management
- Robust human-in-the-loop capabilities for controlled agent execution
- Open-source framework with a strong community and extensive documentation
Cons
- Requires Python knowledge and coding skills, not suitable for no-code users
- Self-hosted deployment requires user's own cloud infrastructure management
- Newer framework compared to established alternatives like LangChain, potentially smaller ecosystem
- Advanced features like custom SSO and dedicated support are locked behind enterprise tiers
DustPros
- Comprehensive multi-agent orchestration capabilities
- Strong emphasis on enterprise-grade security and compliance
- Model-agnostic, allowing flexibility with various LLMs
- Extensive integrations with common business tools
- Supports no-code agent creation for non-technical users
- Offers regional data hosting options (US/EU)
Cons
- Pricing is per user per month, which can scale for large teams
- Requires integration and setup with existing company data sources
- No explicit mention of mobile platforms for agent interaction
- Steep learning curve for advanced custom tool development
- Fair use limits apply to 'unlimited messages' in Pro plan
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
Customizability5
Support & Ecosystem5
Integration Power5
Dimension Comparison
Agno
7.5
/ 10
Dust
7.8
/ 10
Your pick
Dimension Breakdown
Ease of Use
AIHow easy it is to get started and use daily
Agno
6.0
Dust
7.0▲ +1.0
Output Quality
AIQuality and accuracy of generated results
Agno
8.0
Dust
8.0
Value for Money
AICost vs. features and output quality
Agno
7.0
Dust
7.0
Customizability
CalculatedAbility to tailor to specific needs
Agno
9.0▲ +1.0
Dust
8.0
Support & Ecosystem
AIDocumentation, community, and support quality
Agno
7.0
Dust
7.0
Integration Power
CalculatedAbility to connect with other tools and workflows
Agno
8.0
Dust
10.0▲ +2.0
Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology
Task Performance
Agno
Task
Dust
8.08.0
Workflow Building
6.07.0
Trigger Variety
7.08.0
Action Library
7.07.0
Error Handling
8.06.0
Scheduling Capability
8.08.0
Conditional Logic
9.09.0
Api Connectivity
9.07.0
Monitoring Logging
9.09.0
Multi Step Chains
8.08.0
Autonomous Execution
* 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 has a rating of 0.0/5 (0 reviews), while Dust has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.
Is Agno cheaper than Dust?
Agno starts at free (freemium model). Dust starts at $29/month (paid model) with a free trial. Use the Cost Calculator above for a detailed estimate.
What are the main differences between Agno and Dust?
Agno — "A new architecture for multi-agent systems that runs in your cloud.". Dust — "The Operating System for AI Agents". 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 available for free. Dust is a paid tool with a free trial. Always verify current pricing directly with the vendor.