// Agent profile
AI Job Search (MadsLorentzen/ai-job-search) is an open-source autonomous agent that runs your entire job search pipeline. It scrapes job listings from multiple platforms, scores them against your resume using LLM-driven matching, generates tailored cover letters, auto-fills application forms, and tracks every application in a built-in dashboard. The agent handles the full loop — discovery, evaluation, application, follow-up — so you focus on interviews, not form-filling. #1 on GitHub Trending with +3,728 stars/day as of July 9, 2026. 18.1K total stars. MIT licensed, fully local.
AI Job Search automates the mechanical grind of job hunting. Instead of manually browsing listings, copying your resume into form fields, and tracking applications in a spreadsheet, the agent handles the full pipeline autonomously. It scrapes listings from multiple job platforms, evaluates each one against your resume and preferences, generates tailored cover letters, fills out application forms, and tracks everything in a dashboard.
The project hit #1 on GitHub Trending on July 9, 2026, gaining +3,728 stars in a single day. That velocity reflects a real pain point — job searching is one of the most tedious, repetitive workflows that exists, and it maps almost perfectly onto what coding agents are good at: structured data extraction, document generation, and form automation.
Multi-platform scraping: The agent discovers listings across major job platforms, extracting structured data (title, company, requirements, compensation, location) without manual browsing. Playwright-based browsing handles dynamic pages.
Resume matching: Each listing is scored against your resume using LLM reasoning — not keyword matching. The agent evaluates technical fit, seniority alignment, and domain relevance, surfacing the best matches and explaining why.
Application automation: For platforms with standard application forms, the agent auto-fills fields, attaches your resume, and generates tailored cover letters. It handles Greenhouse, Lever, Ashby, and other major ATS platforms.
Pipeline tracking: A built-in dashboard shows every listing discovered, its match score, application status, and follow-up dates. No separate spreadsheet needed.
Active job seekers who want to cast a wide net without the manual overhead. Developers between roles who want to evaluate hundreds of listings systematically. Anyone tired of copying the same information into 50 different application forms.
The agent runs locally and requires a coding CLI (Claude Code or compatible) to operate. Auto-applying to jobs is powerful but should be used with judgment — review the agent’s selections before letting it submit applications to roles that matter most.
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