Does Semantic Kernel or Agno have a free plan?

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

Semantic Kernel vs Agno

Q: Can I use Semantic Kernel and Agno together?

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

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

Updated June 2026

Semantic Kernel

Microsoft

Integrate AI capabilities into your applications with a flexible SDK

0.0(0)

OPEN_SOURCE

82% data quality

Agno

Agno Inc.

A new architecture for multi-agent systems that runs in your cloud.

0.0(0)

FREEMIUM

94% data quality

Trust & Reliability

Semantic Kernel

Trust data not available yet

Agno

Users:10K-100K

Overall Winner: Agno

7.5/10 vs Semantic Kernel at 5.2/10

Leads in:

Customizability

Integrations

Ease of Use

AI Comparison Summary

Semantic Kernel

5.2

avg score

Agno

7.5

avg score

Agno leads overall — particularly in Ease of Use and Customizability and 1 more.

Semantic Kernel has an edge in Value for Money.

Based on 6 dimensions

How scores are calculated

Overall Winner

Agno

7.5 / 10

Semantic Kernel

Best For

Integrating AI into existing software applications for developers

Building intelligent agents with custom logic and tools

Orchestrating complex AI workflows across multiple steps

Extending applications with generative AI capabilities

Not Ideal For

Non-technical users seeking a no-code agent builder

Simple, single-turn chatbot implementations

Users who prefer a fully managed, cloud-hosted agent service

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

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

Semantic Kernel is best for

🤖Automation & Agents7.7

Agno is best for

🤖Automation & Agents8.3

Filter by your use case:

Pros & Cons

Semantic Kernel

Pros

Open-source and backed by Microsoft, ensuring active development and community support
Flexible architecture allows integration with various LLMs and services
Enables seamless blending of AI capabilities with traditional programming logic
Strong focus on prompt engineering and plugin extensibility
Supports memory and planning for more sophisticated agent behavior

Cons

Requires strong programming skills (C#, Python) to implement effectively
Steeper learning curve for developers new to AI frameworks
No visual builder or low-code interface for non-technical users
Performance and cost depend heavily on the chosen LLM and deployment

Agno

Pros

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

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

Semantic Kernel

5.2

/ 10

Agno

7.5

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Semantic Kernel

3.0

Agno

6.0▲ +3.0

Output Quality

Quality and accuracy of generated results

Semantic Kernel

8.0

Agno

8.0

Value for Money

Cost vs. features and output quality

Semantic Kernel

9.0▲ +2.0

Agno

7.0

Customizability

Calculated

Ability to tailor to specific needs

Semantic Kernel

2.0

Agno

9.0▲ +7.0

Support & Ecosystem

Documentation, community, and support quality

Semantic Kernel

8.0▲ +1.0

Agno

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Semantic Kernel

1.0

Agno

8.0▲ +7.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Semantic Kernel

Task

Agno

8.0

Workflow Building

8.0

5.0

Trigger Variety

6.0

7.0

Action Library

7.0

Error Handling

7.0

6.0

Scheduling Capability

8.0

Conditional Logic

8.0

9.0

Api Connectivity

9.0

7.0

Monitoring Logging

9.0

8.0

Multi Step Chains

9.0

7.0

Autonomous Execution

8.0

* 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, Semantic Kernel or Agno?

Both are strong options. Semantic Kernel has a rating of 0.0/5 (0 reviews), while Agno has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Semantic Kernel cheaper than Agno?

Semantic Kernel starts at free (open_source model). Agno starts at free (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Semantic Kernel and Agno?

Semantic Kernel — "Integrate AI capabilities into your applications with a flexible SDK". Agno — "A new architecture for multi-agent systems that runs in your cloud.". 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 Semantic Kernel and Agno together?

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