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hermes-agent vs ai-job-search

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

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NousResearch/hermes-agent: 262,609 stars, Python. The agent that grows with you
ai-job-search-dev/ai-job-search: 71,182 stars, Python. The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover let…

hermes-agent vs ai-job-search: tale of the tape

GitHub data as of November 11, 2026

hermes-agent has 3.7 times as many GitHub stars as ai-job-search (262,609 vs 71,182). In the last 6 days, hermes-agent gained more stars: +1,855 (+0.7%) against +1,447 (+2.1%) for ai-job-search. ai-job-search saw more development in the last 52 weeks with 453 commits, against 0 for hermes-agent. hermes-agent is the older project (created July 2025), ai-job-search started in March 2026. Both are written mainly in Python.

NousResearch/hermes-agentai-job-search-dev/ai-job-search
Stars262,60971,182
Stars gained, last 6 days+1,855+1,447
Growth, last 6 days+0.7%+2.1%
Avg. stars per day since creation551299
Forks58,79323,009
Commits, last 52 weeks0453
Open issues54,08962
Best Repocharts rank today#4 in AI#43 in AI
LanguagePythonPython
LicenseMITMIT
CreatedJul 22, 2025Mar 18, 2026
Last pushNov 11, 2026Nov 10, 2026

Quick answers

Which is more popular, hermes-agent or ai-job-search?

hermes-agent has 3.7 times as many GitHub stars as ai-job-search (262,609 vs 71,182) (Repocharts data as of November 11, 2026).

Which is growing faster, hermes-agent or ai-job-search?

In the last 6 days, hermes-agent gained more stars: +1,855 (+0.7%) against +1,447 (+2.1%) for ai-job-search.

Which is more actively developed?

ai-job-search saw more development in the last 52 weeks with 453 commits, against 0 for hermes-agent.

What languages are hermes-agent and ai-job-search written in?

Both are written mainly in Python.

How does RepoClash compare hermes-agent and ai-job-search?

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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