The Hiring Panel
Four adversarial AI reviewers stress-test your resume against a target role, then hand back concrete, scored feedback. Generate the prompt, run it in your agent, ingest the verdict.
Open-source job-search copilot
ApplyOS is a self-hosted copilot. Your own Claude agent finds and scores roles on a schedule, and you approve every move. You wake up to a ranked shortlist.
Self-host in one command
$ docker compose up -dYour agent searches on a schedule and pushes new roles into your queue.
Deterministic fit scoring ranks every role against your candidate profile.
You triage the shortlist. Nothing reaches an application without your approval.
The Hiring Panel runs four adversarial reviewers over your resume.
Four adversarial AI reviewers stress-test your resume against a target role, then hand back concrete, scored feedback. Generate the prompt, run it in your agent, ingest the verdict.
Explainable 0 to 100 scores per role, with a per-signal breakdown. No black-box ranking.
A human-in-the-loop workflow and agent tasks that run on a cadence you set.
One docker compose brings up the database, backend, and agent runner. Your data and your Claude key never leave your box.
No blind auto-apply. Each agent action is logged with its input, output, and timing.
Create an account to get started, or star the repo and self-host the whole stack yourself.