What is Career Agents?

Career Agents is an AI-powered career intelligence platform featuring 167 specialized career agents that help job seekers optimize their resume, GitHub portfolio, LinkedIn profile, and interview performance.

How does Career Agents evaluate ATS resume scores across different job roles?

Career Agents uses role-specific keyword taxonomies (Software Engineering, Product Management, AI/ML, Data Science, Cybersecurity, DevOps, UX Design, Marketing, etc.) and optional custom Job Description parsing. The ATS score dynamically calculates keyword match ratio, section completeness, weak bullet penalties, and formatting quality.

Which AI providers does Career Agents support?

Career Agents supports OpenAI, Anthropic Claude, Google Gemini, Groq, OpenRouter, Ollama, LM Studio, Azure OpenAI, DeepSeek, Together AI, Mistral, Cohere, and xAI Grok.

Is Career Agents open source?

Yes. Career Agents is fully open source under the MIT license. The agent registry, division schemas, and validation pipeline are all available at github.com/karthikrshet/Career-Agents.

What is MCP in Career Agents?

MCP stands for Model Context Protocol. Career Agents exposes all 167 career agents as MCP tools, letting Cursor, Claude Desktop, VS Code, and other compatible AI clients connect directly to the agent registry.

How do STAR bullet rewrites work in Resume Studio?

The STAR framework breaks accomplishment bullets into Situation, Task, Action, and Result. Career Agents identifies passive verbs and missing metrics, converting weak lines into high-impact, quantified bullets.

Technical Interview & Career Playbooks

Developer Career Guides

Accelerate your career with system design frameworks, coding playground playbooks, and negotiation tactics.

15 min read

FAANG System Design Blueprint

Learn how to approach distributed caching, database scaling, and rate limiter design in 45-minute interviews.

8 min read

Mastering the STAR Method

How to structure behavioral answers (Situation, Task, Action, Result) with impact metrics and context.

10 min read

LinkedIn Algorithmic Optimization

Uncover how recruiters search for talents on LinkedIn and adjust your profile keywords to maximize outbound inquiries.

Actionable Career Checklist

Consistently update your portfolio repositories weekly, parse your resume structure after any job role changes, and benchmark your interview preparedness against realistic mock constraints to build unstoppable professional momentum.

Access the Complete Career OS Documentation

Find developer setup guides, model parameters configuration tips, and registry contribution steps.