career-ops-hq/career-ops

Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit. Runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and more).

What it solves

Career-ops is an AI-powered job search agent designed to help candidates avoid wasting time on poor-fit roles and automate the tedious parts of the application process. It flips the script on AI-driven hiring filters by giving candidates a tool to evaluate companies and roles before applying.

How it works

Users paste a job description or URL into their local environment. The agent then performs several automated checks: it verifies if the posting is still live, scores the role against the user's actual CV to determine fit, and conducts company research to identify AI strategies and engineering culture. If the role is a good fit, the agent drafts tailored CVs, cover letters, and application answers. The system is designed to be local-first, meaning all data stays on the user's machine and the agent never automatically submits applications or sends emails, ensuring the user remains the final decision-maker.

Who it’s for

Job seekers who want a more strategic, evidence-based approach to their search, particularly those in tech who use AI coding CLIs (like Claude Code, Codex, or Gemini) to manage their workflow.

Highlights

  • A-H Evaluation: Comprehensive role analysis including CV match, compensation research, and legitimacy checks.
  • ATS-Optimized PDFs: Generates tailored, ATS-readable CVs and cover letters using a Playwright-based pipeline.
  • Human-in-the-Loop: AI handles the evaluation and drafting, but the user must manually review and click submit.
  • Deep Research: Surfaces company AI strategy and identifies key hiring managers or recruiters for personalized outreach.
  • Pattern Analysis: Tracks rejection patterns and advance rates to identify skill gaps or process issues.
  • Local-First Privacy: No telemetry or backend; data moves only between the user's machine and their chosen AI provider.

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