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career-ops

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Open-source multi-agent system for AI-powered job searches.

Autonomous AgentsGeneral-Purpose 53.7kOpen source
View on GitHub
Updated 2026-06-15
career-ops GitHub repository

What is career-ops?

Career-Ops is a multi-agent job search tool that lets candidates apply AI to find and select companies instead of the other way around. It processes large numbers of listings and generates personalized application materials while remaining free and open source.

The system integrates with Claude Code, Gemini CLI, and similar interfaces, using Node.js, Go, and Playwright for automation. Users can run it locally and benefit from community updates and multilingual documentation.

It is designed for professionals tired of manual applications who want a structured, AI-assisted workflow that has already helped users land roles after evaluating hundreds of opportunities.

What you can build with career-ops

Bulk listing review

Scan and score hundreds of job postings to identify the best matches quickly.

CV personalization

Create tailored resumes for specific roles based on the evaluated listings.

Local AI workflow

Run the entire process on your machine using supported CLI tools without cloud dependency.

Install career-ops

Quick start
npx @santifer/career-ops init
  1. 1Clone the repository from GitHub.
  2. 2Install required dependencies with npm or the package manager of choice.
  3. 3Configure your preferred AI CLI such as Claude Code or Gemini.
  4. 4Launch the agent system and provide your job search parameters.
  5. 5Review generated CVs and application outputs.

career-ops: pros & cons

Pros

  • +Fully open source with MIT license and active community support.
  • +Supports multiple languages and popular AI coding interfaces.
  • +Demonstrated results with hundreds of listings processed.
  • +No vendor lock-in; runs locally with standard tools.

Cons

  • Requires technical setup and familiarity with CLI tools.
  • Limited built-in guidance for non-technical users.
  • Depends on external AI models whose performance can vary.
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Frequently asked questions

Yes, the project is open source under the MIT license and available on GitHub.

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