interviewstreet/hiring-agent

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

7007 stars · 1377 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source AI agent pipeline from HackerRank that extracts structured data from resume PDFs, enriches it with GitHub signals, and produces explainable resume scores using locally-run LLMs via Ollama. It is a CLI tool for ranking large volumes of applications, not a full applicant tracking system.

Use cases

• score and rank resumes automatically
• parse resumes from pdfs into structured data
• screen high volumes of intern applications
• evaluate candidates with local llm models
• enrich resume evaluation with github activity signals
• get explainable candidate scoring

When to choose

• you receive thousands of resumes and need to prioritize which to read first
• you want a self-hosted, privacy-friendly resume screener with no cloud API keys
• you need explainable, category-level scoring rather than a black box
• you want to enrich resume data with public GitHub signals

When to avoid

• you need a full applicant tracking system with pipelines and interview scheduling
• you want zero score variance - LLM scoring is inherently non-deterministic
• you need production-grade hiring decisions without human review
• you require a polished product for customers rather than a demo-grade pipeline

Facets

cli-tool · maturity active

agent-framework llm-inference nlp ocr pdf parser cli artificial-intelligence large-language-models hr developer-tools python cli cross-platform self-hosted resume-scoring resume-parsing hiring recruiting ollama github-enrichment explainable-ai candidate-ranking ai-agents natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="interviewstreet/hiring-agent")