Summary

AgentGuide is an open-source, job-oriented learning resource for AI Agent development. It targets aspiring engineers and researchers, providing a systematic curriculum that bridges theory, practical projects, and interview preparation to facilitate career transitions into the LLM and AI Agent domain.

How It Works

This project aggregates and structures existing high-quality resources into a coherent learning path. It emphasizes a "systematized + job-oriented + practically validated" approach, offering distinct roadmaps for algorithm and development roles, alongside practical project implementations and interview guidance. The methodology focuses on hands-on application and career readiness.

Quick Start & Requirements

• Installation: Clone the repository and run provided Python examples (e.g., quickstart_agent.py).
• Prerequisites: Python is implied. Specific hardware (GPU, CUDA) or software dependencies for learning are not explicitly detailed, though covered technologies often require them.
• Resources: Extensive documentation is available within the docs/ folder. Links to the project website and GitHub are provided. Community engagement is encouraged via GitHub and social channels.
• Setup Time: Claimed "10 minutes to run the first Agent," with system mastery targeted in 8-10 weeks.

Highlighted Details

• Dual Career Paths: Offers distinct learning roadmaps for Algorithm Engineers (innovation, research) and Development Engineers (system building, deployment), plus a combined "all-rounder" path.
• Job-Centric Curriculum: Integrates "how it