Do coding agents recommend OpenAI Agents SDK?
OpenAI Agents SDK was chosen in 4% of 681 judged agent frameworks sessions, ranking sixth. Measured with Claude Code, Codex and Cursor.
OpenAI Agents SDK was chosen in 4% of 681 judged agent frameworks sessions, ranking sixth. It was also raised as a candidate in 61 further sessions without being chosen.
This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in agent frameworks inside a realistic codebase. Not what a chat assistant says about OpenAI Agents SDK. What an agent actually installed.
The numbers
| Category | Agent frameworks |
| Sessions in the category | 681 |
| Sessions where OpenAI Agents SDK was chosen | 24 |
| Install share | 4% |
| Rank in category | 6 of 35 |
| Codebases it won in | 7 |
| Raised as a candidate, not chosen | 61 |
| Chosen when considered | 28% |
| Site | openai.github.io |
By agent
The three agents land within 10 points of each other on OpenAI Agents SDK, which is closer than most products in this experiment manage.
| Agent | Sessions | Chose OpenAI Agents SDK | Share |
|---|---|---|---|
| Claude Code | 237 | 0 | 0% |
| Codex | 243 | 24 | 10% |
| Cursor | 201 | 0 | 0% |
By who was asking
OpenAI Agents SDK performs similarly across the four kinds of buyer, from 0% to 5%. That is unusual: the category leader changed with the persona in 14 of the 18 categories we measured.
| Who is asking | Sessions | Chose OpenAI Agents SDK | Share |
|---|---|---|---|
| Vibe coder | 163 | 8 | 5% |
| Junior developer | 157 | 4 | 3% |
| Senior engineer | 254 | 12 | 5% |
| Enterprise team | 107 | 0 | 0% |
What OpenAI Agents SDK was up against
The full ranking in agent frameworks, from the same sessions:
| # | Product | Runs won | Share |
|---|---|---|---|
| 1 | Built in-house (no product adopted) | 170 | 25% |
| 2 | Vercel AI SDK | 95 | 14% |
| 3 | Cursor SDK | 94 | 14% |
| 4 | Inngest | 50 | 7% |
| 5 | Temporal | 29 | 4% |
| 6 | Prism | 28 | 4% |
| 7 | OpenAI Agents SDK (this page) | 24 | 4% |
| 8 | LangGraph | 23 | 3% |
What this means
OpenAI Agents SDK was raised in 61 sessions and chosen in 24. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough.
Where these numbers come from
The 681 sessions in agent frameworks are part of a published set of 5,292, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.
Every agent frameworks run can be replayed on the board.
If you work on OpenAI Agents SDK: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.
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Common questions
Do coding agents recommend OpenAI Agents SDK?
Yes. OpenAI Agents SDK was chosen in 24 of the 681 judged sessions in agent frameworks, a 4% install share, ranking sixth in its category.
Does Claude Code recommend OpenAI Agents SDK?
In 0 of the 237 sessions in agent frameworks run with Claude Code, which is 0%.
Do different coding agents treat OpenAI Agents SDK differently?
Yes, and by a wide margin. Codex chose it in 10% of its runs and Claude Code in 0%.
How was this measured?
Real coding agents at pinned versions were run in sandboxes inside 51 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.
How often is OpenAI Agents SDK considered but not chosen?
It was raised as a candidate in 61 sessions without being chosen, and chosen in 24. That is a 28% conversion from considered to chosen.
Where this comes from
Armature ran 5,292 judged sessions with Claude Code, Codex and Cursor inside 51 realistic codebases, and published every run. The numbers on this page come from that work.