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2024-08-04

Jobs_Applier_AI_Agent_AIHawk logo

Jobs_Applier_AI_Agent_AIHawk

Not rated yet

30.1K GitHub stars

Type:

Tool

Platforms:

Github

Task:

Automate browser tasksChat with AIAnalyze codebasesRun AI agentsSearch and apply for jobs

Best for:

HRIT & Development
View on GitHub

Pricing


Pricing information has not been added yet.

Overview

AIHawk is an open-source AI agent project focused on automating parts of the job-application process. It was created to help job seekers process opportunities and prepare applications with an agent-driven workflow, reducing repetitive work involved in searching, evaluating, and applying for positions.

The repository preserves the project's open-source core architecture, allowing developers to inspect and extend how the agent works. The README notes that third-party provider plugins were removed from the public repository for copyright-related reasons, so the project is now more focused on its core system and community-driven extensions.

AIHawk is most relevant to developers experimenting with job-search automation and to users who want a self-controlled foundation for building application workflows. It demonstrates how browser automation, profile data, AI-generated application material, and agent logic can be combined into a specialized career assistant.

README

GitAds Sponsored

Sponsored by GitAds

AIHawk: The first Jobs Applier AI Web Agent

LinkedIn

AIHawk's core architecture remains open source, allowing developers to inspect and extend the codebase. However, due to copyright considerations, we have removed all third‑party provider plugins from this repository.


AIHawk has been featured by major media outlets for revolutionizing how job seekers interact with the job market:

Business Insider TechCrunch Semafor Dev.by Wired The Verge Vanity Fair 404 Media


Other projects

Most of my work now goes into invisible_playwright, a Playwright replacement built on a Firefox patched at the source level, so the browser fingerprint is set inside the engine rather than injected from the page - the same automation-detection problem AIHawk ran into at scale, solved one layer lower.

A few pages from its docs, if you're curious how any of it actually works:

  • The checklist for being detected on one site
  • Why an attached debugger makes automation detectable
  • Three ways to make Playwright undetected
  • Why automating the login form is riskier than reusing a session

Releases

Release information has not been added yet.

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