Registry › Compare › Agno vs OpenAI Agents SDK (JS)

Agno vs OpenAI Agents SDK (JS)

OpenAI Agents SDK (JS) leads on trust: 93.0/100 (Grade A) against 86.9/100 (Grade A), a 6.1-point gap. Agno leads on maintenance and adoption, and rests on broader evidence; OpenAI Agents SDK (JS) leads on supply-chain integrity and transparency. Note: OpenAI Agents SDK (JS)'s evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A Agno 86.9

The self-driving agent platform

agno-agi/agno · #76 overall · #9 Agent Frameworks · coverage A (4/5)

Choose Agno if maintenance and adoption matter most.

+1.6Maintenance
+1.5Adoption: 43k GitHub stars against 4k
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

A OpenAI Agents SDK (JS) 93.0

A lightweight, powerful framework for multi-agent workflows and voice agents

openai/openai-agents-js · #6 overall · #4 Agent Frameworks · coverage B (3/5)

Choose OpenAI Agents SDK (JS) if supply-chain integrity and transparency matter most.

+4.9Safety / Integrity: 100% of recent commits signed, against 96%
+3.2Transparency: OSSF Scorecard 8.5 against 4.7

Where they differ

18.2

Safety / IntegrityOpenAI Agents SDK (JS) +4.9

23.1

12.5

TransparencyOpenAI Agents SDK (JS) +3.2

15.7

19.9

MaintenanceAgno +1.6

18.3

18.7

AdoptionAgno +1.5

17.2

-0.4

Runtime calibrationOpenAI Agents SDK (JS) +1.1

+0.7

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Agno and OpenAI Agents SDK (JS), two Agent Frameworks projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Agnoagno-agi/agno	OpenAI Agents SDK (JS)openai/openai-agents-js
HVTrust score	86.9	93.0
Evidence grade	A	A
Coverage grade	A	B
Overall rank	#76	#6
Rank in Agent Frameworks	#9	#4
GitHub stars	43.0k	4.0k
Last updated	1d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	4.7 / 10	8.5 / 10
License	Apache-2.0	MIT
Downloads	515k/wk	2.5M/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.2	23.1
Identity & provenance / 18	18.0	18.0
Transparency / 17	12.5	15.7
Maintenance / 20	19.9	18.3
Adoption / 20	18.7	17.2
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	18 — Amazon Bedrock, Anthropic, Brave Search, …	1 — OpenAI
Requires API keys	No	Yes
Plugin surface	—	extensions
Provenance drift	Match	Match

Open in the live compare tool → Agno profile OpenAI Agents SDK (JS) profile More Agent Frameworks →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →