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

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Summary

Job Hunter Team is an open-source desktop app that uses a team of AI agents to search job boards, score postings against your profile, and draft tailored CVs and cover letters. The app is now available for Windows, macOS, and Linux, with pluggable AI providers like Claude, Codex, or Kimi, and 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.
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