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oh-my-openagent vs agent-autoloop

Codex rivals. Both tagged codex, ai-agents. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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code-yeongyu/oh-my-openagent: 70,838 stars, TypeScript. OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
KKKKhazix/agent-autoloop: 4,503 stars, TypeScript. 让你的命令行 Agent 在后台自己接活、自己跟进到底;平时不烦你,遇到拿不准的事才发卡片找你拍板。

oh-my-openagent vs agent-autoloop: tale of the tape

GitHub data as of November 11, 2026

oh-my-openagent has 15.7 times as many GitHub stars as agent-autoloop (70,838 vs 4,503). In the last 5 days, agent-autoloop gained more stars: +1,000 (+28.5%) against +105 (+0.1%) for oh-my-openagent. oh-my-openagent saw more development in the last 52 weeks with 32,496 commits, against 154 for agent-autoloop. oh-my-openagent is the older project (created December 2025), agent-autoloop started in November 2026. Both are written mainly in TypeScript.

code-yeongyu/oh-my-openagentKKKKhazix/agent-autoloop
Stars70,8384,503
Stars gained, last 6 days+105+1,000
Growth, last 6 days+0.1%+28.5%
Avg. stars per day since creation207563
Forks5,843822
Commits, last 52 weeks32,496154
Open issues2,5150
Best Repocharts rank today#45 in AI#40 in Rising
LanguageTypeScriptTypeScript
License–MIT
CreatedDec 3, 2025Nov 3, 2026
Last pushNov 11, 2026Nov 11, 2026

Quick answers

Which is more popular, oh-my-openagent or agent-autoloop?

oh-my-openagent has 15.7 times as many GitHub stars as agent-autoloop (70,838 vs 4,503) (Repocharts data as of November 11, 2026).

Which is growing faster, oh-my-openagent or agent-autoloop?

In the last 5 days, agent-autoloop gained more stars: +1,000 (+28.5%) against +105 (+0.1%) for oh-my-openagent.

Which is more actively developed?

oh-my-openagent saw more development in the last 52 weeks with 32,496 commits, against 154 for agent-autoloop.

What languages are oh-my-openagent and agent-autoloop written in?

Both are written mainly in TypeScript.

How does RepoClash compare oh-my-openagent and agent-autoloop?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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