Both tagged codex, ai-agents, claude-code.
RepoClash › Coding Agents rivals
RepoClash · the open-source arena
herdr vs happy
Coding Agents rivals. Both tagged coding-agents, agent-orchestration, codex. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

herdrdev/herdr: 50,156 stars, Rust. the runtime your coding agents live on
slopus/happy: 24,586 stars, Swift. Orchestrate Claude, Codex and Grok in one app. Open-source (MIT), reuses the subscriptions you already pay for.
herdr vs happy: tale of the tape
GitHub data as of November 11, 2026herdr has 2.0 times as many GitHub stars as happy (50,156 vs 24,586). In the last 6 days, herdr gained more stars: +1,935 (+4.0%) against +82 (+0.3%) for happy. happy saw more development in the last 52 weeks with 3,064 commits, against 1,874 for herdr. happy is the older project (created July 2025), herdr started in March 2026. herdr is written mainly in Rust, happy in Swift.
| herdrdev/herdr | slopus/happy | |
|---|---|---|
| Stars | 50,156 | 24,586 |
| Stars gained, last 6 days | +1,935 | +82 |
| Growth, last 6 days | +4.0% | +0.3% |
| Avg. stars per day since creation | 219 | 51 |
| Forks | 4,054 | 2,119 |
| Commits, last 52 weeks | 1,874 | 3,064 |
| Open issues | 473 | 1,108 |
| Best Repocharts rank today | #14 in Dev Tools | #21 in Swift |
| Language | Rust | Swift |
| License | Apache-2.0 | MIT |
| Created | Mar 27, 2026 | Jul 18, 2025 |
| Last push | Nov 7, 2026 | Nov 11, 2026 |
Quick answers
Which is more popular, herdr or happy?
herdr has 2.0 times as many GitHub stars as happy (50,156 vs 24,586) (Repocharts data as of November 11, 2026).
Which is growing faster, herdr or happy?
In the last 6 days, herdr gained more stars: +1,935 (+4.0%) against +82 (+0.3%) for happy.
Which is more actively developed?
happy saw more development in the last 52 weeks with 3,064 commits, against 1,874 for herdr.
What languages are herdr and happy written in?
herdr is written mainly in Rust, happy in Swift.
How does RepoClash compare herdr and happy?
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.