◇ Could this help me?
Yes. The architecture is the right shape for this data: a resume, a work history, and job search activity are exactly the things that should not sit in a third-party service, so local-first and open source is a genuine advantage rather than a marketing line, and open source also means the outreach logic can be read before it is trusted. Two cautions the video skips: any self-hosted repository that touches personal data deserves a look at its publisher and its outbound network calls before it runs, and automated outreach at volume risks platform enforcement and lands badly with recipients, so generated messages should be reviewed individually rather than fired off in bulk. General practice.
I am considering running a self-hosted open-source AI job search agent that would hold my resume and work history and draft outreach messages on my behalf. Before I install anything, research the specific project: who publishes and maintains it, how active the repository is, what the agents actually do, what outbound network calls the code makes, and whether any of my data leaves the machine. Report those findings with a clear recommendation, and set it up only after I approve. If I do run it, show me how to review each generated outreach message before it is sent rather than sending in bulk.