Agno vs Dify

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

Data last refreshed August 2026

Agno

Agno Inc.

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

Open Source

86% verification coverage

Dify

LangGenius, Inc.

The Platform for Production-Ready Agentic Workflows

Freemium

86% verification coverage

Trust & Reliability

Agno

Uptime:100%Status page

Users:10K-100K

Customers (per vendor):Key Data, The Kiln, Thinqpoint +2

Dify

Uptime:99.98%Status page

Users:1M-10M

Customers (per vendor):Maersk, ETS, Anker +1

GDPR

SOC 2

Overall Winner: Dify

8.0/10 vs Agno at 6.3/10

Leads in:

Ease of Use

Compliance & Data Protection

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

AI Comparison Summary

Agno

6.3

avg score

Dify

8.0

avg score

Dify leads overall — particularly in Ease of Use and Compliance & Data Protection.

Based on 6 dimensions

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

Overall Winner

Dify

8.0 / 10

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

Companies running their agent platform in their own cloud

Dify

Best For

Independent developers building production AI apps

Small teams building production AI apps

Medium-sized teams needing collaboration and higher throughput

Enterprises requiring advanced security, compliance, and dedicated support

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

Agno is best for

🤖Automation & Agents8.2💻Coding & Dev8.0📊Data & Analytics8.0

Dify is best for

🎨Image & Design8.0🎧Customer Support8.0🤖Automation & Agents6.9

Filter by your use case:

Limitations

Agno

Cons

Agents, teams and workflows are written in Python
SAML SSO is a paid add-on ($300/mo) rather than an included feature

Dify

Cons

App Version Control is listed as 'Coming Soon' for Professional and Team plans.
Pay by Invoice via bank transfer is not yet available, only for annual Team subscriptions.
Some models cannot be used with message credits and require an own API key.
The Sandbox plan has limited message credits, team members, apps, knowledge documents, and data storage.
The Sandbox plan has a 30-day log history limit.
The Community Edition is for non-commercial projects and complies with Dify Open Source License.
The Service Partner program notes that partners need to understand the dynamic nature of the GenAI space and be ready to grow through occasional challenges.

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

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

Agno

6.3

/ 10

Dify

8.0

/ 10

Clear winner

Dimension Breakdown

Ease of Use

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

Agno

1.0

Dify

7.0▲ +6.0

Customization

Calculated

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

Agno

9.0

Dify

9.0

Support

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

Agno

10.0

Dify

10.0

Integration

Calculated

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

Agno

8.0

Dify

8.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

Agno

2.0

Dify

6.0▲ +4.0

Performance

Calculated

Latency + throughput speed

Agno

8.0

Dify

8.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Agno

—

Dify

—

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

Dify

8.0

Role Definition

6.0

8.0

Task Decomposition

6.0

9.0

Agent Coordination

7.0

8.0

Inter Agent Communication

6.0

9.0

Workflow Orchestration

9.0

8.0

Tool Use Delegation

8.0

9.0

State Management

7.0

9.0

Error Recovery

6.0

9.0

Observability

7.0

9.0

Scalability Throughput

7.0

8.0

Task Delegation

6.0

8.0

Parallel Execution

7.0

* 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

What are the main differences between Agno and Dify?

Agno — "Agent framework & high-performance runtime for multi-agent systems". Dify — "The Platform for Production-Ready Agentic Workflows". The Features section on this page compares them side by side.

Who is Agno best for compared with Dify?

Agno is best for Engineering teams building custom AI agent platforms for internal use; and for Developers needing a flexible, high-performance runtime for multi-agent systems. Dify is best for Independent developers building production AI apps; and for Small teams building production AI apps.

How does the pricing of Agno compare with Dify?

Agno is open source, includes a free plan, paid plans start at $150/month. Dify is freemium, includes a free plan, paid plans start at $59/month. Always verify current pricing with the vendor.

Does Agno or Dify have a free plan?

Agno is open source. Dify has a free plan. Always verify current pricing with the vendor.

Do Agno and Dify offer an API?

Agno offers a public API. Dify offers a public API.

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