Career Agents

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🏆 Candidate Breakthroughs & Proven Placement Highlights

💰 ₹85 LPA Software Engineering Offer Landed: Candidates using Career Agents' ATS Resume Studio, STAR Interview Lab, and FAANG Company Tracks successfully cracked top-tier software engineering roles — securing compensation offers up to ₹85 LPA!

🚀 1,500+ Interview Callbacks: Powered by multi-role ATS keyword optimization, automated STAR bullet rewrites, public GitHub portfolio health audits, and spoken voice AI interview practice across top engineering tech companies (Google, Meta, Amazon, Microsoft, Salesforce, Stripe, Uber, OpenAI).

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🚀 Career-Agents Open Source Contribution Challenge 2026

September 25 – October 15, 2026 — Organized by Career-Agents × CodeMyFYP

"Find a real problem. Build the fix. Test it. Submit a Pull Request. Pass review. Get merged."

Career-Agents is hosting a global open-source engineering contribution challenge for developers, AI engineers, systems architects, and open-source contributors. Participants work directly on the production codebase—improving 167+ AI agents, Model Context Protocol (MCP) tooling, CLI diagnostics, RAG retrieval algorithms, ATS automation engines, resume intelligence, voice interview systems, automated test suites, performance optimization, accessibility, and technical documentation.

• 📝 Registration: https://luma.com/3df31stw
• 📖 Official Event Guide: ./docs/contribution-challenge-2026.md

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🎯 Executive Overview & What Is This

"Companies use AI to filter candidates. Career Agents gives candidates AI to choose companies, crack top offers, and run their entire job search from one unified command center."

Career Agents is an open-source, local-first AI Career Operating System built for software engineers, tech candidates, and engineering leaders. Instead of juggling disconnected job boards, spreadsheets, and generic ChatGPT prompts, Career Agents unifies two foundational pillars:

1. 🤖 167 Specialized AI Career Agents across 19 Domain Divisions: Purpose-built expert agents with deep domain intelligence, interview question banks, system design rubrics, and career path roadmaps.
2. ⚡ MCP-Powered Agentic Job Search Engine: An autonomous end-to-end pipeline that scans ATS job portals, extracts requirements, evaluates deterministic candidate fit, drafts tailored resumes & cover letters, curates STAR interview practice, generates recruiter outreach, and tracks applications through live analytics.

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🔒 Local-First Privacy & Data Sovereignty Guarantee

🛡️ "Do Not Share My Personal Information" Guarantee:

• 100% Local-First Execution: Your CV, candidate profile, job applications, interview debriefs, and private notes stay on your machine. We do not collect, store, or sell any personal data.
• Zero Server-Side Storage: AI requests are dispatched directly from your browser or local CLI to the AI provider you configure.
• Zero-Key Offline Fallback: Heuristic ATS scoring, LeetCode coding practice, and local tracker management run completely offline with zero API key requirements.

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⚡ System-Wide Token Optimization Engine (80-85% Token Reduction)

• 🧬 Prompt Minification: Strips excessive whitespace, redundant blank lines, and decorative borders before transmission to remote LLMs.
• 📉 Sliding Context Window Compression: In multi-turn chat, voice interviews, and MCP tool interactions, older assistant turns are automatically summarized into key highlights while preserving full context for the latest active turns.
• 🔌 MCP Server & CLI Token Efficiency: All Model Context Protocol (MCP) responses for Cursor IDE, Claude Desktop, and VS Code are minified to eliminate payload bloat, saving users up to 85% in API key costs.

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⚡ MCP-Powered Agentic Job Search Pipeline & Central Intelligence Loop

"Job searching is fragmented across job boards, resumes, interview preparation, networking, and application tracking. Career Agents turns that fragmented process into one unified agentic workflow."

The key idea is that Career Agents doesn't just find a job. It understands the job, evaluates candidate evidence against it, identifies what's missing, generates tailored application materials, prepares the candidate for the interview, and tracks what happens afterward.

The Central Intelligence Loop

Target Job Description / ATS Query
                ↓
    Multi-ATS Job Board Scanner
(Greenhouse, Lever, Ashby, Workable, SmartRecruiters, RemoteOK, Arbeitnow, Himalayas)
                ↓
      Requirement Extraction
                ↓
    Candidate Evidence Matching
                ↓
     CANONICAL READINESS ENGINE
       (services/readiness.js)
                ↓
       Strengths & Skill Gaps
                ↓
┌───────────────────────┬───────────────────────┐
│                       │                       │
Tailored Resume         Cover Letter Draft      Interview Preparation
(HTML & LaTeX)          (3-Paragraph Executive) (STAR Question Bank)
│                       │                       │
└───────────────────────┼───────────────────────┘
                        ↓
            Recruiter Outreach (<300 chars)
                        ↓
             Application Tracker
             (pipeline-tracker.md)
                        ↓
           Funnel Performance Analytics

End-to-End Pipeline Commands

# 1. Scan ATS job boards (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, RemoteOK, Arbeitnow, Himalayas)
career-agents pipeline scan stripe greenhouse
career-agents pipeline scan netlify lever
career-agents pipeline scan openai ashby

# 2. Evaluate candidate profile readiness against raw job descriptions (Blocks A-G Report)
career-agents pipeline match jd.txt Google "AI/ML Infrastructure Engineer"

# 3. Compile ATS single-page resume (HTML & LaTeX)
career-agents pipeline cv profile.json --html
career-agents pipeline cv profile.json --latex

# 4. Generate strategic 3-paragraph tailored cover letter
career-agents pipeline cover Google "AI/ML Infrastructure Engineer"

# 5. Build STAR interview question bank and company track
career-agents pipeline interview Google "AI/ML Infrastructure Engineer"

# 6. Draft concise recruiter networking outreach note (<300 chars)
career-agents pipeline outreach "Sarah Jenkins" Google "AI/ML Infrastructure Engineer"

# 7. Track applications with live status state machine
career-agents pipeline add Google "AI/ML Infrastructure Engineer" https://careers.google.com/jobs/123
career-agents pipeline status Google interviewing "Scheduled Technical Screen Round 1"

# 8. View live pipeline conversion funnel analytics
career-agents pipeline stats
career-agents pipeline digest
career-agents pipeline doctor

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⚡ Core Capability Suites & Modules

Career Agents unifies the full career development lifecycle into focused, interoperable intelligence suites:

1. ⚡ MCP-Powered Job Search & Application Pipeline (packages/pipeline/)

   • Multi-ATS job board scanning across 8 major providers with gzip/brotli streaming decompression.
   • Canonical readiness evaluation (services/readiness.js) against extracted requirements without artificial floors.
   • Tailored single-page ATS HTML/LaTeX resumes and executive 3-paragraph cover letters.
   • Structured STAR+R interview question banks and <300-char recruiter outreach messaging.
   • Dual-persistence application tracker (pipeline-tracker.md) and funnel conversion analytics.

2. 🤖 167 Specialized AI Career Agents across 19 Divisions

   • Deep domain expertise across AI/ML, Backend, Frontend, Cloud, DevOps, System Design, Security, PM, Mobile, and more.
   • Context-aware dynamic system prompt generation with zero token redundancy.

3. 📄 ATS Resume Studio & Heuristic Grading Engine

   • 20 professional, ATS-optimized single-page templates (Modern Tech, Minimalist, Academic, Executive, etc.).
   • Local deterministic scoring for action-verb density, quantifiable metrics, section hierarchy, and keyword alignment.

4. 💻 20-Language Coding Studio & FAANG Problem Sets

   • 240+ curated LeetCode coding interview problems (Blind 75, NeetCode 150, Top 150).
   • Interactive algorithm dry-run visualizers, whiteboard canvases, and timed virtual contests.

5. 🎙️ STAR Behavioral & Spoken Voice AI Interview Lab

   • Real-time spoken mock interviews with Web Speech API integration in 27 BCP-47 languages.
   • 20+ Tier-1 company interview tracks with structured STAR parameter evaluation scorecards.

6. 🔍 GitHub Portfolio & LinkedIn Search Optimization Auditing

   • Direct GitHub API repository quality audits, documentation coverage scores, and contribution heatmaps.
   • LinkedIn headline pipe-structure analysis, recruiter search keyword density scoring, and AI content creation.

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⚡ Complete Feature Matrix & Capabilities

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🤖 167 Agent Ecosystem (19 Divisions)

Career Agents manages 167 specialized AI agents categorized across 19 divisions.

Division Summary Table

Career Division (career)

Placement strategy, resume engineering, interview coaching, and personal brand growth for students and job seekers.

Company Interviews Division (company-interviews)

Target-company-specific interview coaches for FAANG, tier-1 product companies, and tech giants.

Engineering Division (engineering)

Software architecture, database design, Next.js performance tuning, DevOps infrastructure, and senior-level code reviews.

Interview Division (interview)

Specialized interview coaching, system design, mock interviewing, behavioral strategies, and group discussions.

Networking Division (networking)

LinkedIn outreach, alumni networking, cold email strategies, recruiter communications, and referral acquisition.

Projects Division (projects)

Final Year Project lifecycle support from topic selection and research planning to documentation and viva defense.

Resume Division (resume)

Technical resume writing, achievement optimization, ATS formatting, design portfolios, and executive resumes.

Startup Division (startup)

Founder decision support, MVP definition, growth marketing strategy, and competitive market research.

AI Engineering Division (ai-engineering)

Language models, prompt engineering, retrieval-augmented generation (RAG), cognitive agents, and machine learning operations (MLOps).

Cloud & Infrastructure Division (cloud)

Public cloud systems, platform engineers, kubernetes clusters, infrastructure security, and site reliability.

Cybersecurity Division (cybersecurity)

Secure coding principles, network operations, penetration testing, compliance advisors, and risk auditing.

Open Source Division (open-source)

Collaborative repository design, developer community building, open-source documentation, and maintainer guidance.

Data Engineering Division (data-engineering)

Analytical warehouse construction, stream processors, pipeline schedulers, and database optimizations.

Developer Relations Division (devrel)

Developer advocate strategies, technology education, community management, and developer experience.

Job Automation Division (job-automation)

Automated job discovery, listing filters, pipeline trackers, email outreach cadences, and funnel optimization engines.

FAANG & Top Tech Division (faang)

Specialized technical and career coaches for FAANG and top-tier tech companies, focusing on rigorous coding loops, system design, and culture fit.

AI Business Division (ai-business)

Strategic builders, technical PMs, and business architects focusing on launching and scaling AI-first startups, SaaS MVPs, and proprietary data loops.

Modern GTM Division (gtm)

Outreach systems design, waterfall data enrichments, CRM synchronizations, webhooks, and programmatic pipeline automation.

Freelancing Division (freelancing)

Productization, pricing advisory, retainer growth, client acquisition networks, and operation designs for independent consultants.

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🗺️ Curated Career Paths (10 Paths)

AI Engineer

• Focus: Specialist in integrating machine learning, large language models, retrieval augmented generation, and cognitive agents into product architectures.
• Core Skills Required: LLMs & Prompt Engineering, RAG & Semantic Search, Python & PyTorch, Agentic Architectures, Model Orchestration
• Associated Coaches: ai-agent-architect, llm-engineer, rag-architect, ai-engineer-career-coach

Backend Engineer

• Focus: Specialized engineer focused on server-side logic, API design, database structures, security, caching, and scalability.
• Core Skills Required: API Design (REST/GraphQL), Database Architecture & Indexing, Distributed Systems, Server-Side Languages (Go, Python, Java, Node.js), Performance Engineering
• Associated Coaches: backend-architect, database-engineer, system-design-coach

Cloud Engineer

• Focus: Focused on provisioning public cloud infrastructure, maintaining high availability, designing scalable networks, and managing containerized systems.
• Core Skills Required: AWS / GCP / Azure, Terraform & IaC, Kubernetes & Containers, Networking & VPCs, Site Reliability (SRE)
• Associated Coaches: aws-cloud-architect, kubernetes-specialist, terraform-specialist, site-reliability-engineer

Cybersecurity Engineer

• Focus: Dedicated to securing software systems, identifying vulnerabilities, configuring access controls, and responding to security incidents.
• Core Skills Required: Application Security & OWASP, Identity & Access Management (IAM), Threat Modeling & Pen Testing, Incident Response & Forensics, Regulatory Compliance (SOC2/GDPR)
• Associated Coaches: application-security-specialist, cloud-security-engineer, incident-response-specialist, governance-risk-compliance-advisor

DevOps Engineer

• Focus: Bridging development and operations to automate software delivery pipelines, manage configuration state, and ensure infrastructure reliability.
• Core Skills Required: CI/CD Pipelines, Configuration Management, Infrastructure as Code, Monitoring & Logging, Build Tools & Packaging
• Associated Coaches: devops-engineer, platform-engineer, site-reliability-engineer

Frontend Engineer

• Focus: Specialized engineer focused on client-side applications, user interfaces, performance optimization, and modern web frameworks.
• Core Skills Required: JavaScript / TypeScript, React / Next.js, CSS & Styling, Web Vitals & Performance, API Integration
• Associated Coaches: nextjs-performance-engineer, portfolio-reviewer, ats-resume-reviewer

Full Stack Engineer

• Focus: Versatile engineer capable of building and maintaining both client-side and server-side components of modern web applications.
• Core Skills Required: Frontend Frameworks, Backend APIs, Database Design, Cloud Deployments, End-to-End Testing
• Associated Coaches: mern-architect, code-reviewer, placement-coach

Product Manager

• Focus: Connecting technology, business, and design to define product features, scope releases, prioritize roadmaps, and align cross-functional teams.
• Core Skills Required: Product Roadmap Planning, User Interviewing & Feedback, Prioritization Frameworks, Market & Competitor Analysis, Data-Driven Decisions
• Associated Coaches: product-manager, product-manager-coach, market-research-analyst

Software Engineer

• Focus: Generalist software engineer focused on building robust applications, CS fundamentals, algorithms, and collaborative team delivery.
• Core Skills Required: Data Structures & Algorithms, Object Oriented Design, System Design, Version Control (Git), Testing & Debugging
• Associated Coaches: google-interview-coach, technical-interview-coach, code-reviewer, mock-interviewer

Startup Founder

• Focus: Building a business from scratch, scoping MVPs, testing market fit, structuring go-to-market strategies, and managing early unit economics.
• Core Skills Required: MVP Scoping & Validation, Go-To-Market Execution, Unit Economics & Token Economics, Outreach Systems Design, Founder Pitching & Narrative
• Associated Coaches: founder-advisor, growth-strategist, ai-product-builder, market-research-analyst

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🏢 Company Interview Tracks (16 Companies)

Adobe

• Interview Rounds: Recruiter screen, Technical phone screen: 1-2 coding and product-craft rounds (45-60 min), Onsite loop: 3 technical coding/systems design rounds, 1 cross-functional collaboration round, 1 product craft/manager round (45 min each)
• Key Competency Focus: Technical Depth & Product Framing, Product-Craft Story Development, Attention-to-Detail & UX Polish, Cross-Functional Collaboration
• Recommended Coaches: adobe-interview-coach, mock-interviewer, system-design-coach

Amazon

• Interview Rounds: Recruiter phone screen (30 min), Online Assessment (OA): 2 DSA coding challenges + Work Simulation + Work Style Assessment, Onsite loop (Full Loop): 4 rounds covering 16 Leadership Principles (STAR format), DSA Coding, Object-Oriented Design, and System Architecture with a Bar Raiser (45-60 min each)
• Key Competency Focus: 16 Leadership Principles (STAR method), Customer Obsession & Operational Excellence, Distributed System Design (AWS Primitives), Object-Oriented Design & DSA
• Recommended Coaches: amazon-interview-coach, amazon-swe-coach, behavioral-interview-specialist, system-design-coach, mock-interviewer

Anthropic

• Interview Rounds: Recruiter screen & research alignment call (30 min), Technical screen: PyTorch / Deep Learning Math & Systems Coding (60 min), Onsite loop: 4-5 rounds covering Neural Network Coding, High-Scale ML Systems Architecture, Alignment & Constitutional AI Frameworks, and Research Culture
• Key Competency Focus: AI Safety & Constitutional AI Frameworks, Transformer Scaling & Memory Bandwidth Profiling, PyTorch & Distributed Training Mechanics (FSDP), Empirical Research & Experiment Design
• Recommended Coaches: anthropic-interview-coach, anthropic-ai-coach, technical-interview-coach, system-design-coach, mock-interviewer

Apple

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen / Domain deep-dive (45-60 min), Onsite loop: 4-6 rounds covering Systems Programming / DSA, Software Architecture, Domain Specialty, and Cross-functional Culture & Craft (45-60 min each)
• Key Competency Focus: Swift, SwiftUI & Objective-C / C++ Architecture, Systems Programming & Memory Management (RAII, ARC, Pointers), Hardware-Software Integration & OS Design Fundamentals, Product Craft, Privacy Principles & Attention to Detail
• Recommended Coaches: apple-interview-coach, apple-swe-coach, technical-interview-coach, system-design-coach, mock-interviewer

Atlassian

• Interview Rounds: Recruiter screen and interactive coding challenge, Onsite loop: 1 system design round, 1 coding round, 1 values fit round, 1 management/behavioral round
• Key Competency Focus: Atlassian core values (Open Company No Bullshit), Collaborative system design structures, Active listening and giving structured feedback, Frontend UI performance and layout
• Recommended Coaches: atlassian-interview-coach, behavioral-interview-specialist, group-discussion-coach, mock-interviewer

Databricks

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen: Systems Coding / Database Algorithm round (60 min), Onsite loop: 4-5 rounds covering High-Concurrency Systems Coding, Storage Engine & Query Architecture, Distributed Infrastructure System Design, and Culture
• Key Competency Focus: Distributed Query Engines & Vectorized Execution, Database Internals (LSM-trees, MVCC, Concurrency), Apache Spark & Delta Lake Internals, Systems Programming & Memory Management
• Recommended Coaches: databricks-interview-coach, database-engineer, backend-architect, system-design-coach, mock-interviewer

Google

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen: 1 DSA coding round (45 min), Onsite loop: 3 DSA coding rounds, 1 System Design round, 1 Googliness & Leadership round (45 min each)
• Key Competency Focus: Data Structures & Algorithms (graphs, dynamic programming, trees), System Design & Scalability, Googliness (cultural fit, collaboration, ambiguity navigation), Space & Time Complexity Analysis
• Recommended Coaches: google-interview-coach, google-swe-coach, technical-interview-coach, system-design-coach, mock-interviewer

Meta

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen: 2 DSA coding problems in 45 min, Onsite loop: 2 DSA coding rounds (2 problems in 45 min each), 1 System Design round (Product or Systems Architecture), 1 Behavioral / Move Fast & Focus on Impact round
• Key Competency Focus: High-speed coding execution & accuracy, Meta-scale System Design (Feed, Messenger, TAO Caching), Move Fast & Focus on Impact behavioral alignment, Social Graph & Distributed Systems
• Recommended Coaches: meta-interview-coach, meta-swe-coach, technical-interview-coach, system-design-coach, mock-interviewer

Microsoft

• Interview Rounds: Recruiter screening phone call (30 min), First-round technical screen / OA: 1-2 coding problems (45-60 min), Onsite loop (As-One Loop): 4-5 rounds covering CS Fundamentals & Coding, System Design, and Growth Mindset / Behavioral Alignment
• Key Competency Focus: Computer Science Fundamentals (OS, Networking, Data Structures), Enterprise & Cloud System Architecture (Azure), Collaborative Problem Solving & Growth Mindset, Multi-tenant SaaS & Identity Management
• Recommended Coaches: microsoft-interview-coach, microsoft-swe-coach, technical-interview-coach, system-design-coach, mock-interviewer

Netflix

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen: High-concurrency systems / Senior coding (60 min), Onsite loop: 4-5 rounds covering Senior Distributed System Design, Microservices Resilience & Chaos Engineering, Technical Deep-Dive, and Freedom & Responsibility Culture
• Key Competency Focus: Freedom & Responsibility Culture Alignment, High-Concurrency Distributed Microservices, Chaos Engineering & Fault Isolation, Global Streaming & Edge CDN Architectures
• Recommended Coaches: netflix-interview-coach, netflix-swe-coach, behavioral-interview-specialist, system-design-coach, mock-interviewer

Nvidia

• Interview Rounds: Recruiter screening phone call (30 min), Technical phone screen: C++ Systems Programming / Parallel Algorithms (60 min), Onsite loop: 4-5 rounds covering CUDA Kernel Optimization, Systems C++, GPU Architecture & Interconnects, and AI Hardware Acceleration
• Key Competency Focus: C++ Systems Programming & Memory Alignment, CUDA Parallel Computing & SIMT Execution Model, GPU Hardware Architecture & NVLink Topology, Deep Learning Acceleration & TensorRT Quantization
• Recommended Coaches: nvidia-interview-coach, nvidia-ai-coach, technical-interview-coach, system-design-coach, mock-interviewer

OpenAI

• Interview Rounds: Recruiter screen & domain alignment call (30 min), Technical phone screen: PyTorch / Distributed Coding or Systems Deep Dive (60 min), Onsite loop: 4-5 rounds covering Neural Network Coding / Autograd, Distributed ML Systems Architecture, Applied AI / Infrastructure, and Mission & Safety Alignment (60 min each)
• Key Competency Focus: PyTorch & Triton Distributed Training Mechanics, Transformer Architecture & KV Cache Optimizations, Frontier AI Infrastructure & LLM Serving, AI Safety, Alignment & Scaling Laws
• Recommended Coaches: openai-interview-coach, openai-career-coach, technical-interview-coach, system-design-coach, mock-interviewer

Oracle

• Interview Rounds: Recruiter phone screen, Technical screening: 1-2 CS fundamentals and database queries rounds (45-60 min), Onsite Loop: 3-4 rounds focused on CS fundamentals, database design, networking protocols, and systems design (45 min each)
• Key Competency Focus: CS Fundamentals (OS, Networking), Database Internals & SQL Design, Algorithmic Problem-Solving, Multi-Round Endurance
• Recommended Coaches: oracle-interview-coach, mock-interviewer, database-engineer, system-design-coach

Salesforce

• Interview Rounds: Recruiter screening phone call (30 min), Technical screening: 1 coding round / portfolio review (45-60 min), Onsite loop: 2 technical coding rounds, 1 system architecture round, 1 core values & trust-alignment round (45 min each)
• Key Competency Focus: Core Values & Trust Alignment, Customer Success Orientation, System Architecture & SaaS Scaling, Data Structures & Algorithms
• Recommended Coaches: salesforce-interview-coach, mock-interviewer, system-design-coach

Stripe

• Interview Rounds: Recruiter screening phone call (30 min), Technical screen: Practical API design / Coding round (60 min), Onsite loop: 4-5 rounds covering Practical Engineering (Bug Hunting / Extension), API Design, System Architecture (Financial Systems & Idempotency), and Culture/Integration
• Key Competency Focus: Practical API & SDK Ergonomics Design, Codebase Refactoring & Defensive Error Handling, Financial System Design & Idempotency, Backward Compatibility & Integration Testing
• Recommended Coaches: stripe-interview-coach, code-reviewer, backend-architect, technical-interview-coach, mock-interviewer

Uber

• Interview Rounds: Recruiter screen and online coding test, Technical phone interview: coding and systems baseline questions, Onsite loop: 2 coding rounds, 2 system architecture scaling rounds, 1 behavioral bar raiser round
• Key Competency Focus: Geohashing and spatial search coordinates index (H3, S2), Real-time stream message scheduling, High write concurrency structures, Fault-tolerance modeling
• Recommended Coaches: uber-interview-coach, system-design-coach, database-engineer, mock-interviewer

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⚡ Workflow Automation Pipelines (10 Workflows)

• ATS Optimization: A repeatable resume operating system for candidates who apply through portals, campus systems, and enterprise hiring platforms. Optimizes resume structures, headings, and keyword mapping to survive ATS parsing.
  • Recommended Agents: ats-resume-reviewer, resume-strategist, job-search-strategist, linkedin-growth-advisor, placement-coach
• FAANG Preparation: Targeted preparation pipeline for high-tier tech companies (FAANG+), aligning algorithms, system design, and leadership principles prep.
  • Recommended Agents: google-interview-coach, amazon-interview-coach, meta-interview-coach, microsoft-interview-coach, system-design-coach, mock-interviewer
• Fresher Placement: Step-by-step guidance for college students and recent grads navigating their first job hunt and campus placement cycles.
  • Recommended Agents: placement-coach, graduate-career-advisor, ats-resume-reviewer, mock-interviewer, networking-coach
• HR Interview Week: Intense behavioral prep week covering common HR screening, culture fit, and soft-skill evaluation challenges.
  • Recommended Agents: hr-interview-coach, behavioral-interview-specialist, mock-interviewer, recruiter-communication-coach
• Internship Hunt: Tactical action plan for finding, applying to, and landing summer/semester internships.
  • Recommended Agents: internship-application-strategist, networking-coach, ats-resume-reviewer, cold-outreach-specialist, graduate-career-advisor
• LinkedIn Growth: Personal branding and network expansion strategy to attract recruiters, founders, and industry peers.
  • Recommended Agents: linkedin-growth-advisor, personal-branding-advisor, networking-coach, recruiter-outreach-specialist
• Offer Comparison: Analytical approach to evaluating multiple job offers across total compensation, equity, career growth, and work-life balance.
  • Recommended Agents: offer-evaluation-advisor, salary-benchmark-analyst, salary-negotiation-coach
• Remote Job Hunt: Navigating the specialized remote job market, optimizing for global companies, and establishing remote collaboration proof.
  • Recommended Agents: remote-work-advisor, job-search-strategist, cold-outreach-specialist, linkedin-outreach-specialist
• Salary Negotiation: Tactics and script preparation for maximizing base salary, equity, and benefits during the offer stage.
  • Recommended Agents: salary-negotiation-coach, salary-benchmark-analyst, offer-evaluation-advisor, recruiter-communication-coach
• Technical Interview Week: High-intensity technical prep covering DSA drills, system design practice, and clean code principles.
  • Recommended Agents: technical-interview-coach, system-design-coach, mock-interviewer, code-reviewer

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⚡ OpenAI Ecosystem, Codex & ChatGPT Architecture Showcase

🌟 How We Built Career Agents with Codex, ChatGPT, MCP, CLI & REST APIs

Built for modern software engineers, tech professionals, and AI practitioners, Career Agents harnesses the full power of the OpenAI & Codex ecosystem to transform passive job searching into an autonomous, agentic career acceleration engine:

┌────────────────────────────────────────────────────────────────────────────────────────┐
│                                 AI CLIENT INTERFACES                                   │
│  ┌───────────────────────┐  ┌────────────────────────┐  ┌───────────────────────────┐  │
│  │   Codex CLI / Agent   │  │   ChatGPT / Custom GPT │  │  Cursor / Claude / VS Code│  │
│  └───────────┬───────────┘  └───────────┬────────────┘  └─────────────┬─────────────┘  │
└──────────────┼──────────────────────────┼─────────────────────────────┼────────────────┘
               │ (MCP Stdio / Tools)      │ (REST API / SSE)            │ (MCP JSON-RPC)
               ▼                          ▼                             ▼
┌────────────────────────────────────────────────────────────────────────────────────────┐
│                   CAREER AGENTS UNIFIED INTELLIGENCE GATEWAY                           │
│                                                                                        │
│  ⚡ Model Context Protocol (MCP) Server     📡 10+ Production REST APIs                 │
│     - tools/list & tools/call handlers         - SSE Streaming (/api/copilot)          │
│     - 80-85% Token Compression Engine          - Structured STAR Evals (/api/interview)│
│                                                                                        │
│  💻 High-Performance CLI Engine             🤖 Multi-Provider Router                    │
│     - npx career-agents [command]              - GPT-4o, o1, o3-mini, Gemini, Claude    │
└─────────────────────────────────────────┬──────────────────────────────────────────────┘
                                          │
                                          ▼
┌────────────────────────────────────────────────────────────────────────────────────────┐
│                        CORE AGENTIC EXECUTION ENGINES                                  │
│                                                                                        │
│  1️⃣ Multi-ATS Job Scanner  2️⃣ Canonical Readiness    3️⃣ ATS Resume Studio            │
│     (Greenhouse, Lever,        (Deterministic Blocks       (HTML & LaTeX Exporters     │
│      Ashby, Workable, etc.)     A-G Skill Gap Matrix)       with 20 Templates)         │
│                                                                                        │
│  4️⃣ STAR Mock Interview   5️⃣ Recruiter Outreach     6️⃣ Funnel Analytics Tracker      │
│     (20+ Company Tracks &      (<300 char LinkedIn         (pipeline-tracker.md &      │
│      Voice AI Simulation)       Conversion Pitches)         Velocity Dashboard)        │
└────────────────────────────────────────────────────────────────────────────────────────┘

1. 🤖 OpenAI & ChatGPT Integration

• State-of-the-Art OpenAI Models: Seamlessly powered by gpt-4o, gpt-4o-mini, o1, and o3-mini reasoning engines for multi-step career problem solving, architectural system design rubrics, and STAR behavioral answer evaluations.
• ChatGPT Custom Actions & System Instructions: Every division and agent exports compliant system instructions and OpenAPI specs ready for direct import into custom ChatGPT GPTs.
• Zero Token Waste: System-wide token compression minifies prompt payloads and sliding context windows, saving 80-85% in OpenAI token consumption.

2. 🔌 Model Context Protocol (MCP) Integration

• Native Codex Agent Tooling: Codex agents can discover, invoke, and chain Career Agents tools in real time via JSON-RPC stdio.
• Granular Tool Suite: Exposes 10+ specialized MCP tools:
  • search_agents: Query across 167 domain coaches and interview tracks.
  • score_resume: Instant ATS score, quantifiable metrics audit, and keyword gaps.
  • match_readiness: Canonical deterministic candidate-to-job matching (Blocks A-G).
  • scan_jobs: Query live requisitions across Greenhouse, Ashby, Lever, Workable, etc.
  • build_resume: Automated compilation to single-page HTML & LaTeX formats.
  • generate_cover_letter: 3-paragraph executive narrative matching company engineering pillars.
  • interview_prep: Curates STAR+R question banks tailored to specific FAANG/Tier-1 tracks.
  • recruiter_outreach: Generates high-converting LinkedIn networking notes under 300 characters.
  • track_application: Updates live status and logs application funnel transitions.

3. 💻 Terminal CLI & REST API Unification

• Zero-Install CLI (npx career-agents): Run full candidate audits, ATS scoring, and pipeline operations directly from your terminal.
• Streaming REST API (POST /api/copilot & /api/interview): High-throughput Server-Sent Events (SSE) streaming compatible with standard OpenAI SDK formats.

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🎤 Quick Live Demo & Workflow Walkthrough

Want to run Career Agents in under 2 minutes? Follow this interactive command sequence:

# Step 1: Register Career Agents in Codex with 1 command
codex mcp add career-agents -- npx -y career-agents mcp

# Step 2: Ask Codex to run an autonomous job search & readiness evaluation
codex "Scan open AI Engineer roles at Stripe on Greenhouse, evaluate my profile against requirements, and output my Blocks A-G skill readiness score."

# Step 3: Generate tailored ATS Resume & STAR interview questions
codex "Compile a tailored single-page HTML resume and generate a STAR technical interview question bank for Google Staff Infrastructure Engineer."

# Step 4: Check application pipeline funnel analytics in CLI
npx career-agents pipeline stats

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🔌 Model Context Protocol (MCP) Ecosystem & IDE Setup

Expose Career Agents tools directly to your AI code editors via standard JSON-RPC stdio:

1. Codex CLI Registration (One Command)

# Global NPX Zero-Install Registration
codex mcp add career-agents -- npx -y career-agents mcp

# Local Repository Registration
codex mcp add career-agents -- node /absolute/path/to/Career-Agents/mcp/server.js

2. Codex Configuration File (codex_mcp.json or ~/.codex/config.json):

{
  "mcpServers": {
    "career-agents": {
      "command": "node",
      "args": ["/absolute/path/to/Career-Agents/mcp/server.js"]
    }
  }
}

3. Claude Desktop Configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "career-agents": {
      "command": "node",
      "args": ["/absolute/path/to/Career-Agents/mcp/server.js"]
    }
  }
}

4. Cursor AI Configuration:

Go to Settings -> Features -> MCP -> Add new MCP Server:

• Name: career-agents
• Type: stdio
• Command: node /absolute/path/to/Career-Agents/mcp/server.js

5. Google Antigravity & VS Code / Continue / Windsurf:

• Google Antigravity: Integrated via .agents/ skill bindings.
• VS Code / Continue / Windsurf / Aider: Configure stdio parameters pointing to mcp/server.js or npx -y career-agents mcp.

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🚀 Quickstart, Installation & CLI Utilities

1. 📦 NPM & NPX Zero-Install Execution

# Global NPM Installation
npm install -g career-agents

# Zero-Install NPX Execution
npx career-agents list
npx career-agents score my_resume.pdf
npx career-agents mcp

2. 💻 Local Web Workspace Setup (Under 5 Minutes)

# 1. Clone the repository
git clone https://github.com/karthikrshet/Career-Agents.git
cd Career-Agents

# 2. Install web application dependencies
cd apps/web
npm install

# 3. Setup environment variables
cp .env.example .env

# 4. Start local development server
npm run dev

Open http://localhost:3000 or https://career-agents.vercel.app.

3. 🖥️ Terminal CLI Utilities Reference

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💻 Tech Stack & AI Provider Gateways

Frontend & Local Architecture

AI Provider Gateways (18 Backends Supported)

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📡 REST API Reference

Career Agents exposes 10 REST endpoints. For request/response schemas, check docs/API.md:

• POST /api/copilot — Streams response tokens using SSE (OpenAI/ChatGPT compatible).
• POST /api/interview — Generates STAR questions or evaluates candidate answers.
• POST /api/resume/analyze — Evaluates resume text against ATS parameters and JD requirements.
• POST /api/github/analyze — Pulls public portfolio metrics from the GitHub API.
• POST /api/linkedin/analyze — Optimizes LinkedIn headlines and summaries.
• POST /api/reports/generate — Compiles and exports reports to PDF, Word, or Excel.
• POST /api/parse-file — Extracts plain text from uploaded document files.
• POST /api/parse-file/url — Parses files from a public URL.
• POST /api/providers/test — Tests connection status and latency for AI providers.
• GET /api/profile — Retrieves the authenticated NextAuth user session.

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🔒 Enterprise Security, Privacy & Validation

• Zero-Key Storage: API keys entered by users are stored strictly in the browser's localStorage and never transmitted to database servers.
• Session Protection: NextAuth JWT tokens are signed using NEXTAUTH_SECRET and saved in secure HttpOnly, SameSite=Lax cookies.
• Strict Headers: Includes Content Security Policy (CSP), HTTP Strict Transport Security (HSTS), and XSS safeguards.

Full Validation Suite

# 1. Type Safety Check
npm run type-check

# 2. Lint Check
npm run lint

# 3. Generate Databases & Index Maps
python scripts/generate-data.py

# 4. Validate Schema Integrity & Relative Links
python scripts/validate.py

# 5. MCP Server Integration Suite
node scripts/test-mcp.js

# 6. Readiness Regression Suite
node scripts/test-readiness-regression.js

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📄 License

Distributed under the MIT License. See LICENSE for more details.

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👨‍💻 Creator & Principal Lead Architect

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