I built an open-source team of AI agents that finds the jobs that actually fit you — not a mass-apply bot. Looking for feedback + contributors

I've been building Job Hunter Team — a team of autonomous AI agents that runs a job search for you. You set the direction; they comb the job boards around the clock, read each posting, score how well it fits your profile (0–100), and draft a tailored CV + cover letter for the ones worth applying to. Fewer applications, but targeted — the final "send" is always your call. Why I built it. I was job-hunting in early 2026 and most applications got no reply. I wired a few LLM agents together to do the tedious half of the search; in two weeks it analyzed ~200 openings, prepared ~20 tailored applications, and got me 5 interviews. It worked well enough that I rebuilt it properly for anyone. It's deliberately not a mass-apply bot. The market is already an arms race — too many generic applications, so employers filter with AI, so everyone gets less attention. This bets the opposite way: find the right match and help you adapt what you offer to what the market wants. The hard part was keeping it affordable. The team monitors its own budget and paces itself to run for a whole month without burning through it. One real month-long run: 658 positions found, 307 scoring 70+ (avg 71/100), across 24 countries, with no human steering (numbers + charts are in the repo). Tech stack: Node.js + TypeScript (CLI + orchestration), Python (budget monitoring + provider glue), agents running on Claude Code / Codex / Kimi CLIs with tmux + SQLite for shared state, a Next.js + Supabase web dashboard, and an Electron desktop app — all in a single Docker container so your machine stays clean. It's still early and, honestly, CLI-first for now (a desktop app for non-technical users is the biggest open piece). It's MIT open source, and I'm looking for feedback, contributors, and beta testers. The thing I most want to crack: running it on fully local models so it costs only electricity — finding work shouldn't be gated by who can afford AI.