GStars
    career-ops-hq

    career-ops-hq/career-ops

    #284 this week

    Open-source AI job search agent: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)

    ai-agents
    automation
    cli
    ai-agent
    ai-job-search
    ats
    career
    careerops
    JavaScript
    MIT
    73.2K stars
    13.8K forks
    73.2K GitHub watchers
    Updated Oct 1, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #11 among AI Agents repositories tracked this week, and #6 over the last 30 days; #284 of 2,502 repositories GStars tracks this week (top 11%).

    5 releases in the last 90 days, the latest 6 days ago, with 465 contributors on GitHub.

    The biggest single-day gain in the last year, +875 stars on Aug 18, coincided with release web-v0.7.0.

    Use Cases & Benefits

    • Provides an AI-powered CLI tool to scan job portals, evaluate listings with a structured score, tailor CVs, and track applications locally.
    • Enables personalized, automated job search management with AI-driven evaluation and resume customization, improving application quality and efficiency.
    • Use for automating job offer evaluation and generating ATS-optimized CVs tailored to specific job descriptions.
    • Use for managing and tracking multiple job applications in a single, integrity-checked pipeline with a terminal dashboard.
    • Use for scanning and filtering job listings from 45+ pre-configured companies and major job boards with batch processing support.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    I spent months applying to jobs the hard way. So I engineered the system I wish I had.

    Companies use AI to filter candidates. I just gave candidates AI to choose companies.

    Now it's open source.

    740+ job listings evaluated · 100+ personalized CVs · 1 dream role landed

    Also runs on any agent-skill-standard CLI

    Career-Ops (career-ops.org, also known as careerops) turns any AI coding CLI into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:

    Important: This is NOT a spray-and-pray tool. Career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting.

    Career-ops is agentic: whichever AI coding CLI you choose navigates career pages with Playwright, evaluates fit by reasoning about your CV vs the job description (not keyword matching), and adapts your resume per listing.

    Heads up: the first evaluations won't be great. The system doesn't know you yet. Feed it context -- your CV, your career story, your proof points, your preferences, what you're good at, what you want to avoid. The more you nurture it, the better it gets. Think of it as onboarding a new recruiter: the first week they need to learn about you, then they become invaluable.

    Excerpt from the career-ops-hq/career-ops README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Jul 4: +173Jul 5: +134Jul 6: +169Jul 7: +187Jul 8: +164Jul 9: +59Jul 12: +36Jul 16: +48Jul 21: +62Jul 24: +142Jul 25: +55Jul 26: +246Jul 27: +172Jul 28: +76Aug 7: +88Aug 12: +55Aug 15: +51Aug 18: +875Aug 19: +292Aug 20: +868Aug 27: +219Aug 28: +220Aug 29: +141Aug 30: +211Aug 31: +163Sep 1: +64

    +14,827 stars over 90 days across 38 snapshot days; best day +875 on Aug 18.

    Forks

    13.8K+2.3K

    Open issues

    514+404

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Sep 27, by 7-day star growth

    View category →
    career-ops-hq/career-ops compared with AI Agents repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    DietrichGebert/ponytail162.8K+7.8K75today
    stablyai/orca91.6K+5.8K601 day ago
    rohitg00/ai-engineering-from-scratch68.7K+5.6K753 days ago
    affaan-m/ECC278.6K+4.0K6412 days ago
    mvschwarz/openrig7.4K+3.9K651 day ago
    career-ops-hq/career-ops73.2K+0656 days ago
    Category median91.6K+5.6K65—
    Compare career-ops with ponytail, orca, ai-engineering-from-scratch →

    Discover Repositories

    Search across tracked repositories by name or description