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AI Agent Analysis
AS

MadsLorentzen/ai-job-search

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

stars
26k
Language
TypeScript
GitHub
Source and compliance noteLast synced: Jul 25, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

AI Job Search is an open-source framework that turns Claude Code into a personalized job application assistant. It automates the entire workflow—from scraping job portals and evaluating fit to tailoring CVs, writing cover letters, and preparing for interviews—while keeping all data and decisions on the user's own machine.

Installation

Fork the repo, install prerequisites (Claude Code, Python 3.10+, Bun, LaTeX), then run `claude` in the project root and follow the `/setup` instructions.

Problem solved

Unlike generic AI tools or job-search platforms, this framework gives users full ownership and control over their job search data and process, while automating repetitive tasks like tailoring applications. It solves the problem of scaling personalized applications without sacrificing quality or privacy, and it encodes career guidance best practices directly into the workflow.

What you can build

Developers can build a fully automated job search pipeline that scrapes local job boards, evaluates postings against their profile, generates tailored CVs and cover letters in LaTeX, and prepares interview questions. Real-world use cases include applying to dozens of jobs with minimal manual effort, maintaining consistent personal branding, and iterating on application materials based on reviewer feedback. The ceiling is a complete, self-hosted job search engine that adapts to any language or country by swapping portal search skills.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

This framework is ideal for technically proficient job seekers who want to automate and scale their application process while retaining full control over their data. It is not suitable for non-technical users or those who prefer a fully managed service. The key trade-off is between the power of automation and the upfront setup effort required.

Analyzed by Git-Stars - 7/21/2026