hiring-agent

Open source alternative to BambooHR

7.3K stars
MIT
Active this month
Last commit 17 days ago

Last verified Oct 21, 2026

Analyze resumes with GitHub signals and rubric-based AI scoring. MIT licensed Python hiring agent for auditable technical shortlists.

Visit website GitHub7.3K

Read the full breakdownWho it is for, how it works, trade-offs and the FAQ

who it's for

Who hiring-agent is for#

Developer resume pre-screening

Use Hiring Agent to create a structured first-pass evaluation before deciding which candidates deserve deeper review.

Skip if:

You need legal-grade automated hiring decisions with audited compliance controls.

GitHub-backed project review

Engineering managers can use the GitHub enrichment path to inspect project evidence alongside resume claims.

Skip if:

Your candidates rarely provide public GitHub profiles.

Local LLM evaluation experiments

Teams can test resume scoring with Ollama when data privacy prevents hosted model use.

Skip if:

You cannot run or configure local models or a Gemini API key.

the problem

The problem it solves#

Technical resume review is hard to keep consistent across reviewers and candidates. Hiring Agent addresses that by turning PDFs and GitHub activity into structured evidence, then applying explicit scoring criteria that humans can inspect before making interview decisions.

how hiring-agent solves it

How it solves it#

Resume PDF extraction

The pipeline converts a resume PDF to markdown before extracting structured sections with prompt templates.

GitHub signal enrichment

The README describes fetching GitHub profiles and repositories, classifying projects, and selecting seven meaningful projects for review.

Explainable scoring

Evaluations include category scores, evidence, bonus points, and deductions rather than a single unexplained number.

Local or hosted model providers

Teams can run with Ollama for local models or use Google Gemini when a hosted model is acceptable.

CSV development output

When development mode is enabled, score.py appends key evaluation fields to resume_evaluations.csv and caches intermediate JSON.

strengths · trade-offs

Strengths and trade-offs#

Strengths

Technical evidence focusGitHub enrichment helps reviewers evaluate candidate projects rather than relying only on resume phrasing.
Local model optionOllama support gives teams a path to keep sensitive resume data off hosted LLM services.
Readable pipelineSeparate modules for PDF parsing, GitHub enrichment, evaluation, and orchestration make the workflow easier to audit.

Trade-offs

-Human review still requiredResume scoring can introduce bias or miss context, so Hiring Agent should support a human process rather than decide outcomes alone.
-Requires candidate GitHub signalThe GitHub enrichment path is less useful for candidates whose strongest work is private, employer-owned, or not tied to a GitHub profile.
-Not an ATSHiring Agent does not manage candidate stages, recruiter collaboration, interview scheduling, or approvals.

versus alternatives

hiring-agent vs alternatives#

Compared to BambooHR

BambooHR is a hosted HR platform that manages hiring workflows, applicant tracking, onboarding, employee records, and HR operations. Hiring Agent is a focused resume evaluation pipeline that parses PDFs, enriches GitHub activity, and produces explainable technical scores. Use BambooHR to run HR and recruiting operations; use Hiring Agent as an auditable review aid for technical resume evidence.

tech stack · detected from GitHub

What it's built on#

Languages: Python

frequently asked

FAQ#

What does Hiring Agent evaluate?

Hiring Agent evaluates technical resumes by parsing PDFs, extracting structured candidate data, enriching GitHub signals, and producing explainable category scores.

Can Hiring Agent run locally?

Yes. The README says it can run fully local with Ollama, or use Google Gemini when a hosted provider is configured.

What license does Hiring Agent use?

GitHub metadata reports Hiring Agent as MIT licensed.

Does Hiring Agent replace recruiters?

No. It produces evidence and scores for review, but humans should make hiring decisions and check fairness, context, and compliance.

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Who hiring-agent is for#