AI Job Search

AI Job Search is an open-source, local job-application framework built around Claude Code or compatible agent tools. Users create a career profile, search and deduplicate job postings, evaluate and rank matches against structured fit criteria, and run `/apply` to produce tailored CVs and cover letters in LaTeX. The application pipeline uses a drafter–reviewer process: an agent evaluates the posting and drafts the materials, a second reviewer critiques them, and the workflow revises the output; `/interview` supports interview preparation, and optional salary benchmarking is included. The included portal-search skills target Danish services such as Jobindex, Jobnet, and Akademikernes Jobbank, while the profiling, fit-evaluation, and application workflow is described as language- and country-agnostic and adaptable to other job boards. It requires Python 3.10 or later, Bun for the job-search CLI tools, and a LaTeX distribution with `lualatex` and `xelatex`; an optional `pdftotext` installation supports the ATS parseability check for compiled CVs. The repository states that the project is independent of and unaffiliated with Anthropic or Claude Code.

Career Ops is an open-source AI job-search system that runs locally through compatible AI coding CLIs. It scans Greenhouse, Ashby, Lever, and company career pages; compares listings with a CV and evaluates them in an A–H report with a global 1–5 score. The system uses Playwright to navigate career pages, can process multiple offers with sub-agents, generates ATS-oriented CV PDFs tailored to individual job descriptions, records applications in a tracker, and researches companies and potential contacts. Its separate Block G assesses posting legitimacy, including scam or ghost-job risk, while Block H drafts additional material only for highly scored roles. It is intended to filter opportunities rather than submit applications, which users review and submit themselves.

AI Manager is a local-first desktop application for installing, updating, configuring, and repairing AI coding command-line tools on a user's computer. It provides a single interface for checking installed tools, managing versions, connecting tools to reviewed or custom HTTPS AI-service endpoints, and viewing the effective endpoint and environment-variable overrides without editing shell profiles or PATH files. Its sidebar includes software management, API endpoints, skills, MCP connections, global prompts, sessions, and settings. It installs skills from trusted GitHub catalogues or local ZIP files, supports stdio, HTTP, and SSE MCP servers, and searches local coding-tool sessions that can be resumed in a terminal. Tool behavior is controlled by a capability registry, and the application uses local signals for checks rather than claiming a process is healthy without evidence. The application is built with Tauri 2 and React 18 and is released under the GNU AGPL-3.0-or-later. It has no analytics or telemetry SDK, stores product data locally, and offers signed update verification and platform-specific installers. Provider credentials are currently stored in plaintext in the local database, backups, and SQL configuration exports. AI Manager began as a fork of CC Switch, with inherited portions retaining their original MIT licensing.

AI Automation Society is a free online community hosted on Skool and associated with Nate Herk. It covers AI automation skills and implementation through Claude Code skills, GitHub repositories, resource guides, more than 100 n8n templates, courses, challenges, and other building resources. Its seven-day challenge guides members from an initial setup to a Claude Code AI executive assistant for email, calendar, and other routine tasks, while its AI Operating System framework provides a GitHub-based approach for building assistants intended for business use.

Hiring Agent is an open-source Python resume-to-score pipeline. It extracts structured data from resume PDFs, enriches candidate information with GitHub signals, and evaluates projects, work experience, and technical skills with supporting evidence to produce an explainable evaluation. The repository describes it as a ranking aid for prioritizing resume review, not an applicant-tracking system or a product for HackerRank customers. It includes local-model configuration, with Gemma 4 listed as the default demonstration model, and provides command-line setup and usage instructions.