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RepoClash › Local First rivals

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openhuman vs Codewhale

Local First rivals. Both tagged local-first, agent-orchestration, mcp. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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tinyhumansai/openhuman: 42,647 stars, Rust. The fastest, cheapest, most efficient open-source agent harness. Run more than 500 agents on a $10 VPS.
codewhale-hq/Codewhale: 41,178 stars, Rust. Open-source agent for the terminal written in Rust. Use any provider or model. Issues & PRs always welcome

openhuman vs Codewhale: tale of the tape

GitHub data as of November 11, 2026

openhuman and Codewhale have about the same number of GitHub stars (42,647 vs 41,178). In the last 6 days, openhuman gained more stars: +88 (+0.2%) against +20 (+0.0%) for Codewhale. openhuman saw more development in the last 52 weeks with 73,056 commits, against 12,026 for Codewhale. Codewhale is the older project (created January 2026), openhuman started in February 2026. Both are written mainly in Rust.

tinyhumansai/openhumancodewhale-hq/Codewhale
Stars42,64741,178
Stars gained, last 6 days+88+20
Growth, last 6 days+0.2%+0.0%
Avg. stars per day since creation160139
Forks4,2153,571
Commits, last 52 weeks73,05612,026
Open issues36878
Best Repocharts rank today#45 in Rust#25 in Dev Tools
LanguageRustRust
LicenseGPL-3.0MIT
CreatedFeb 18, 2026Jan 19, 2026
Last pushNov 11, 2026Nov 11, 2026

Quick answers

Which is more popular, openhuman or Codewhale?

openhuman and Codewhale have about the same number of GitHub stars (42,647 vs 41,178) (Repocharts data as of November 11, 2026).

Which is growing faster, openhuman or Codewhale?

In the last 6 days, openhuman gained more stars: +88 (+0.2%) against +20 (+0.0%) for Codewhale.

Which is more actively developed?

openhuman saw more development in the last 52 weeks with 73,056 commits, against 12,026 for Codewhale.

What languages are openhuman and Codewhale written in?

Both are written mainly in Rust.

How does RepoClash compare openhuman and Codewhale?

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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