AI Job Search GitHub: Open-Source Tools Worth Knowing

Open-source AI job search tools on GitHub fall into two groups: tools that tailor your resume to a job description, and tools that automate applications. Resume Matcher and Resume-AI belong to the first group. AIHawk belongs to the second.

This guide explains what each does, what setup asks of you, and the risks to know first. Each description comes from the project’s own README as of 22 October 2026.

Key takeaways

GitHub tools are free to download but you install and configure them yourself.
Resume tools compare a resume with a job description. Auto-apply tools submit applications.
Read each README before you run anything, and review every output yourself.

What are AI job search tools on GitHub?

They are open-source projects whose code you download and run yourself. Resume Matcher helps tailor a resume to a job description. Resume-AI analyses a resume against a job description with a local AI model. AIHawk automates job applications on LinkedIn Easy Apply. Each project describes itself in its README.

Which AI-job-search projects on GitHub are worth knowing?

Three projects show the range: Resume Matcher, Resume-AI, and AIHawk. This table summarises what each README says. Setup details can change, so open the README before you start.

Project	What its README says it does	What setup asks for
Resume Matcher (srbhr)	Builds a master resume that you tailor for each job. You paste a job description and get a tailored resume, cover letters, a match score, and keyword highlighting.	Clone the repository or run a Docker image. Configure an AI provider.
Resume-AI (SnakeEye-sudo)	A local-first resume analyser and job matcher. You upload a resume (PDF or DOCX) and paste a job description. It shows a match score, missing skills, and AI suggestions. It is MIT licensed.	Run a backend server and a local model through Ollama (Llama 3.2).
AIHawk (feder-cr)	Automates applications, including one-click applications with LinkedIn’s Easy Apply feature and form auto-fill from your profile information.	Clone the repository, set up a Python environment, and add credit to an OpenAI account.

The AIHawk README says its creator’s company now focuses on a proprietary product for hiring teams. Open-source contributors currently lead and maintain the project.

Why do these tools have limits?

They ask for technical setup, and their output needs checking. The Resume Matcher README lists git clone, an environment file, and AI provider setup. The AIHawk README says you must add credit to an OpenAI account, and notes that account upgrades can take hours to days.

Auto-apply tools add a second kind of limit. Business Insider reported that relying on AI to apply can produce mistakes and false information in a resume. It also reported that LinkedIn restricted the creator of AIHawk from using the platform, and that LinkedIn did not say why. LinkedIn did not answer whether using AIHawk would break its user agreement. LinkedIn’s help page says it has added daily and speed limits on Easy Apply to curb automation and bots.

How do I try a resume tool from GitHub?

Read the README, check where your resume is processed, run the tool on one job description, and review the output yourself. Edit the result before you send anything. Apply on the original posting yourself.

Choose your goal. Tailor a resume, or automate applications. The two groups carry different risks.
Read the README. It lists features, requirements, and setup steps.
Check where your resume goes. Resume-AI describes a local-first setup with a local model. Resume Matcher asks you to configure an AI provider.
Run it on one job description. Paste a description for a role you want.
Review and edit. Keep only what is true about you.
Apply yourself. Use the original posting or the employer’s page.

How is Hirerizz different from these tools?

Hirerizz is a hosted product, so there is nothing to install. You upload a resume. We rank live jobs from LinkedIn, company career pages, and applicant tracking systems by fit. Pro adds jobs from Naukri. We show the gaps and help you tailor a resume, write a cover letter, prepare for interviews, and follow up.

We never apply for you. Every Apply button sends you to the original posting. Hirerizz is not affiliated with any of the projects above.

What mistakes do people make with GitHub job tools?

The common mistakes are running a tool without reading the README, sending machine-written answers without checking them, and ignoring platform limits. Each has a fix.

Skipping the README. Fix: read the features, requirements, and setup steps first.
Sending unchecked output. Fix: read every line. Business Insider reported mistakes and false information from AI-written applications.
Ignoring platform limits. Fix: read the platform’s help pages. LinkedIn describes daily and speed limits on Easy Apply.

FAQ

What is AIHawk?

AIHawk is an open-source agent on GitHub that automates job applications. Its README describes one-click applications with LinkedIn’s Easy Apply and form auto-fill from your profile. Business Insider reported risks, including mistakes in applications and a LinkedIn restriction on its creator.

Is Resume Matcher free?

Resume Matcher’s README says it is free and open source. You run it yourself, using a cloned repository or a Docker image, and you configure an AI provider. Check the README for current setup steps.

Can I use GitHub job tools without coding?

Not entirely. The READMEs for Resume Matcher and AIHawk list commands such as git clone, and Resume Matcher also shows a docker run command. Some familiarity with a terminal helps. A hosted product like Hirerizz needs no installation.

If you would rather skip setup, upload your resume and see how it fits live jobs with the 7-day free trial, no card needed.

AI Job Search on GitHub: Open-Source Tools and Their Limits