makecindy
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cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It combines LangGraph workflow orchestration, RAG-based knowledge retrieval, and a React Flow visual interface to simulate a complete technical interview loop, making it a practical full-stack AI project.
Who it is for
- Job seekers preparing for technical interviews
- Developers learning LangChain, LangGraph, and RAG integration
- AI application engineers seeking a reference for building interview systems
- Educators or trainers in technical recruitment
Use cases
- Practice technical interviews with automatically generated questions based on uploaded resume
- Receive AI-driven scoring and feedback on interview answers
- Analyze historical interview records and identify weak areas
- Explore LangGraph-based agent workflow and RAG pipeline in a real application
Strengths
- End-to-end pipeline from resume upload to interview scoring and history tracking
- Modular design with clear separation of API, agents, database, and frontend
- Incorporates LangGraph for dynamic interview flow and Chroma for RAG retrieval
- Provides React Flow visualization of the interview workflow
Considerations
- Requires an OpenAI-compatible API key and external LLM, increasing operational cost
- MySQL database setup and environment configuration needed before running
- Currently only supports PDF resume parsing, not other formats
README quick start
使用流程
Description
AI智能面试助手平台
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