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OmniRoute vs agent-autoloop

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

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cheaper-inference/OmniRoute: 86,431 stars, TypeScript. Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, Mi…
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。

OmniRoute vs agent-autoloop: tale of the tape

GitHub data as of November 11, 2026

OmniRoute has 19.2 times as many GitHub stars as agent-autoloop (86,431 vs 4,503). In the last 6 days, OmniRoute gained more stars: +1,726 (+2.0%) against +1,000 (+28.5%) for agent-autoloop. OmniRoute saw more development in the last 52 weeks with 15,228 commits, against 154 for agent-autoloop. OmniRoute is the older project (created February 2026), agent-autoloop started in November 2026. Both are written mainly in TypeScript.

cheaper-inference/OmniRouteKKKKhazix/agent-autoloop
Stars86,4314,503
Stars gained, last 6 days+1,726+1,000
Growth, last 6 days+2.0%+28.5%
Avg. stars per day since creation319563
Forks13,159822
Commits, last 52 weeks15,228154
Open issues5670
Best Repocharts rank today#39 in TypeScript#40 in Rising
LanguageTypeScriptTypeScript
LicenseMITMIT
CreatedFeb 13, 2026Nov 3, 2026
Last pushNov 11, 2026Nov 11, 2026

Quick answers

Which is more popular, OmniRoute or agent-autoloop?

OmniRoute has 19.2 times as many GitHub stars as agent-autoloop (86,431 vs 4,503) (Repocharts data as of November 11, 2026).

Which is growing faster, OmniRoute or agent-autoloop?

In the last 6 days, OmniRoute gained more stars: +1,726 (+2.0%) against +1,000 (+28.5%) for agent-autoloop.

Which is more actively developed?

OmniRoute saw more development in the last 52 weeks with 15,228 commits, against 154 for agent-autoloop.

What languages are OmniRoute and agent-autoloop written in?

Both are written mainly in TypeScript.

How does RepoClash compare OmniRoute 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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