LlamaIndex vs Agno
Comprehensive side-by-side comparison — features, pricing, performance, and more.
Trust & Reliability
LlamaIndex
Overall Winner: LlamaIndex
6.8/10 vs Agno at 6.3/10
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
LlamaIndex
6.8
avg score
Agno
6.3
avg score
LlamaIndex leads overall — particularly in Ease of Use and Compliance & Data Protection.
Agno has an edge in Integration and Performance.
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Overall Winner
LlamaIndex
LlamaIndex
Agno
* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology
LlamaIndex is best for
Agno is best for
Filter by your use case:
Limitations
LlamaIndexCons
- 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.
AgnoCons
- Agents, teams and workflows are written in Python
- SAML SSO is a paid add-on ($300/mo) rather than an included feature
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Dimension Comparison
LlamaIndex
6.8
/ 10
Agno
6.3
/ 10
Dimension Breakdown
Ease of Use
AIHow intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?
Customization
CalculatedHow much can users tailor workflows, settings, prompts, or outputs to their needs?
Support
AIHow strong is the documentation, customer support, community, and learning resources?
Integration
CalculatedHow well does it connect with other tools, APIs, and workflows?
Compliance & Data Protection
CalculatedCompliance 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
Performance
CalculatedLatency + throughput speed
Planning Quality
CalculatedMulti-step planning depth + replanning capability
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
LlamaIndex
Task
Agno
* Task scores (1–10) are algorithmically generated from publicly available data.