Agno vs LlamaIndex

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

LlamaIndex

LlamaIndex Inc.

AI Agents for Document OCR + Workflows

Freemium

82% verification coverage

Trust & Reliability

Agno

Uptime:100%Status page

Users:10K-100K

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

LlamaIndex

Uptime:99.99%Status page

Users:100K-1M

Customers (per vendor):Jeppesen (a Boeing Company), NTT Data, Carlyle

GDPR

SOC 2

HIPAA

Overall Winner: LlamaIndex

6.8/10 vs Agno at 6.3/10

Leads in:

Customization

Compliance & Data Protection

Ease of Use

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

LlamaIndex

6.8

avg score

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

Agno has an edge in Integration and Performance.

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

LlamaIndex

6.8 / 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

LlamaIndex

Best For

Engineering and R&D teams accelerating product development

Administrative operations streamlining business processes

Financial analysts building AI-powered financial models

Insurance companies automating claims and underwriting

* 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

LlamaIndex is best for

✍️Writing & Content7.0🤖Automation & Agents6.2🔍Research5.8

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

LlamaIndex

Cons

LlamaParse is a commercial platform and not open source, though LlamaIndex and Workflows are open source projects.
Bonus credits on the Pro plan expire immediately upon downgrade and require a business email domain.

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

LlamaIndex

6.8

/ 10

Your pick

Dimension Breakdown

Ease of Use

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

Agno

1.0

LlamaIndex

3.0▲ +2.0

Customization

Calculated

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

Agno

9.0

LlamaIndex

10.0▲ +1.0

Support

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

Agno

10.0

LlamaIndex

10.0

Integration

Calculated

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

Agno

8.0▲ +3.0

LlamaIndex

5.0

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

LlamaIndex

8.0▲ +6.0

Performance

Calculated

Latency + throughput speed

Agno

8.0▲ +3.0

LlamaIndex

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Agno

—

LlamaIndex

—

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

LlamaIndex

8.0

Role Definition

6.0

8.0

Task Decomposition

6.0

9.0

Agent Coordination

6.0

8.0

Inter Agent Communication

5.0

9.0

Workflow Orchestration

8.0

Tool Use Delegation

7.0

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

6.0

* 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 LlamaIndex?

Agno — "Agent framework & high-performance runtime for multi-agent systems". LlamaIndex — "AI Agents for Document OCR + Workflows". The Features section on this page compares them side by side.

Who is Agno best for compared with LlamaIndex?

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. LlamaIndex is best for Engineering and R&D teams accelerating product development; and for Administrative operations streamlining business processes.

How does the pricing of Agno compare with LlamaIndex?

Agno is open source, includes a free plan, paid plans start at $150/month. LlamaIndex is freemium, includes a free plan, paid plans start at $50/month. Always verify current pricing with the vendor.

Does Agno or LlamaIndex have a free plan?

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

Do Agno and LlamaIndex offer an API?

Agno offers a public API. LlamaIndex offers a public API.

Explore Alternatives

Agno Alternatives

Tools similar to Agno

LlamaIndex Alternatives

Tools similar to LlamaIndex

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.