zzzlip

This project is a comprehensive recruitment and interview assistance system developed based on large models and agents, leveraging the langgraph and llamaindex agent frameworks. It aims to enhance job search efficiency and interview performance by automating and intelligentizing the entire interview process. it is China Software Cup A3 competition. Maintained by zzzlip on GitHub, where it has earned 58 stars from the community.

This comprehensive guide details agent development using LangChain and LangGraph, blending hands-on experience with official documentation insights. It covers core components, personal reflections, and full code examples. Maintained by zzzlip on GitHub, where it has earned 26 stars from the community.

Project: AI Roleplay Companion Key Features: Ad-Free & Free: No paywalls, no ads in chats Persistent Memory: Solves companion AI's "memory loss" issue Social Features: Diary & Social Feed (CatBox-style, implemented) Multi-LLM Support: Integrates major LLM APIs for character switching Tech Stack: Flask + LangGraph agent architect. Maintained by zzzlip on GitHub, where it has earned 20 stars from the community.