orca vs agent-autoloop

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

Red corner

Blue corner

stablyai/orca: 121,979 stars, TypeScript. Orca lets you run a fleet of coding agents (e.g. Claude Code, Codex) with your own subscription. Available on desktop, mobile and remote ru…
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。

orca vs agent-autoloop: tale of the tape

GitHub data as of November 11, 2026

orca has 27.1 times as many GitHub stars as agent-autoloop (121,979 vs 4,503). In the last 6 days, orca gained more stars: +5,801 (+5.0%) against +1,000 (+28.5%) for agent-autoloop. orca saw more development in the last 52 weeks with 25,500 commits, against 154 for agent-autoloop. orca is the older project (created March 2026), agent-autoloop started in November 2026. Both are written mainly in TypeScript.

	stablyai/orca	KKKKhazix/agent-autoloop
Stars	121,979	4,503
Stars gained, last 6 days	+5,801	+1,000
Growth, last 6 days	+5.0%	+28.5%
Avg. stars per day since creation	510	563
Forks	7,737	822
Commits, last 52 weeks	25,500	154
Open issues	8,346	0
Best Repocharts rank today	#17 in TypeScript	#40 in Rising
Language	TypeScript	TypeScript
License	MIT	MIT
Created	Mar 17, 2026	Nov 3, 2026
Last push	Nov 11, 2026	Nov 11, 2026

Quick answers

Which is more popular, orca or agent-autoloop?

orca has 27.1 times as many GitHub stars as agent-autoloop (121,979 vs 4,503) (Repocharts data as of November 11, 2026).

Which is growing faster, orca or agent-autoloop?

In the last 6 days, orca gained more stars: +5,801 (+5.0%) against +1,000 (+28.5%) for agent-autoloop.

Which is more actively developed?

orca saw more development in the last 52 weeks with 25,500 commits, against 154 for agent-autoloop.

What languages are orca and agent-autoloop written in?

Both are written mainly in TypeScript.

How does RepoClash compare orca 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.