jaimaann

jaimaann / LangHire

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AI-powered automated job application system with a self-learning memory engine and native desktop UI.

www.langhire.org
40
7
69% credibility
Found May 02, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

LangHire is a desktop app that automates job hunting on LinkedIn by collecting listings, filling applications with AI agents, and improving through a self-learning memory system stored locally.

How It Works

1
📥 Download the app

Find LangHire on GitHub and grab the ready-to-run file for your computer — it works right away on Mac, Windows, or Linux.

2
🚀 Launch and setup

Open the app and follow the friendly wizard to connect your AI helper, pick your resume, and share your job preferences.

3
🧠 Your AI comes alive

Watch the magic as it reads your resume, fills in your details, and gets ready to hunt for dream jobs just like you would.

4
🔑 Quick login check

A browser pops up to peek at your job site accounts — log in once if needed, and it remembers for next time.

5
🔍 Gather job matches

Tell it job titles and places you like, and it searches real job sites to build your perfect list.

6
⚡ Apply automatically

Hit go, relax, and see it fill forms, upload resumes, answer questions, and submit — getting smarter each time.

🎉 Jobs flowing in

Check your dashboard for applied jobs, success stats, and how it's learning to handle sites better over time.

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Star Growth

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AI-Generated Review

What is LangHire?

LangHire automates the grind of job hunting by using AI agents to scour LinkedIn for matching roles, fill applications, upload resumes, and handle screening questions. Built as a native desktop app for macOS, Windows, and Linux with Python FastAPI backend and React frontend via Tauri, it runs everything locally except LLM calls. A self-learning memory engine captures ATS-specific tricks—like Workday navigation or Greenhouse form flows—improving success rates over time.

Why is it gaining traction?

It stands out with adaptive memory that learns from failures, unlike rigid scrapers or AI-powered automated resume screening tools. The real-time dashboard tracks stats per domain, while CLI commands let you collect jobs, apply in parallel, or generate tailored resumes matching job descriptions. Multi-LLM support (OpenAI, Claude, Bedrock, Ollama) and 100% local storage appeal to privacy-focused users building AI-powered automated workflows.

Who should use this?

Job seekers spamming 50+ LinkedIn apps weekly, like devs hunting remote roles or analysts targeting specific titles. Power users scripting personal automation via CLI, or anyone tired of manual ATS battles in high-volume searches.

Verdict

Solid for early adopters despite 19 stars and 0.7% credibility score—prebuilt binaries, clear docs, and MIT license lower barriers. Maturity shows in cross-platform support, but test on your setup; expand job boards to unlock more value.

(198 words)

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