u/Ambitious-Scholar501 — reddlx

Job Hunter Team: open-source AI agents that run your job search. Desktop app is out, and the project is open to contributors.

Job Hunter Team is a team of AI agents that runs your job search: they comb the boards around the clock, score each posting against your profile, and draft a tailored CV and cover letter for the ones worth it. Not a mass-apply bot: fewer applications, better targeted, and the final send is yours.

It runs in a container on your own machine, so your profile and your CV stay with you. There is now a desktop app for Windows, macOS and Linux, no terminal needed. Providers are pluggable: Claude, Codex or Kimi, on a subscription rather than pay per token.

You can talk to the team. Next to the dashboard, the app shows the agents at work in an office: walk up to any of them and ask what they are doing, or why a posting got the score it got.

The project is open to contributors. Roadmap and open issues are on GitHub: testing it on your own hunt, reducing token usage between agents, local model support, docs, translations. The desktop interface is being reworked, so views on that are welcome too.

A platform that helps distribute opportunity more fairly, rather than favoring only those who manage to stand out.

reddit.com

u/Ambitious-Scholar501 — 12 days ago

▲ 1 r/Agentic_Marketing+2 crossposts

A gamified, open source AI team that finds you a job

Job hunting is a second job: same boards every evening, same CV rewritten, mostly no reply. So I built a team of AI agents to do that part. It searches, throws away what isn't worth your time, and prepares the CV and cover letter for what's actually a fit. You just decide what to send.

And it isn't a dashboard with progress bars. It's a gamified experience: you see your team at work in an office, and you can walk up to any of them and talk. Ask what they're doing, why they rated a job the way they did, tell them to change direction. They run on frontier models (Claude, Codex or Kimi), so those are real conversations. It makes the whole thing a lot less grim than staring at a spreadsheet of rejections.

It runs on your own computer, and your CV and your data stay there. There's a desktop app for Windows, macOS and Linux, so if you can install a normal program you can run this. It's free and open source. The only cost is the AI subscription it runs on.

It is not a bot that fires your CV at three hundred openings. That wastes everyone's time and burns your name with the companies you actually cared about.

Here's the part I care about most. Almost all the AI in hiring today sits on the employer's side, screening and filtering people, often without anyone reading a word they wrote. This is the same technology, put in the hands of the person looking for work and running on their own machine.

It's one person's project, so it has rough edges. If this resonates and you want to contribute, I'd be glad to have you: code, but also testing it on your own hunt and telling me where it breaks, docs, translations, design.

jobhunterteam.ai

u/Ambitious-Scholar501 — 12 days ago

▲ 12 r/AI_Agents

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.

reddit.com

u/Ambitious-Scholar501 — 2 months ago