Agent Academy isn't just another scattered tutorial collection. We've designed a complete 5-phase learning cycle: from mental models and deep understanding, through tool mastery and hands-on honing, to delivering a production-grade Agent system. Each step has curated GitHub projects, authoritative papers, hands-on experiments, and evaluation criteria.
The web is full of fragmented Agent tutorials. We did one thing differently: connect their inner relationships, so learners can master every element of Agents along a clear path.
Build your cognitive framework first (what is an Agent, why do we need one, what role does the LLM play). Refuse the "jump straight into code" anti-learning path.
Every core mechanism comes with paper summaries, principle explanations, and minimal reproducible experiments. You learn not just "how to use" but "why designed this way".
Knowledge β Experiment β Evaluate β Optimize β Real Project. A 5-stage closed loop, each phase's output is the next phase's input.
120+ GitHub projects categorized, with maturity and learning curve. From toys to production frameworks β every category has curated recommendations and onboarding guides.
After the learning cycle, you'll build a complete, independent large-scale Agent project β including planning, memory, tools, evaluation, and deployment.
The AI Agent field evolves daily. We track top papers, star projects, and cutting-edge paradigms to keep content in sync with the latest progress.
A validated complete path. Each phase's output can be directly verified and chained into hands-on projects.
Understand the essence, principles, and limits of Agents. Master LLM, prompt engineering, tool calling, and other foundational concepts.
Master mainstream frameworks (LangChain, LangGraph, CrewAI, AutoGen) and learn to make purposeful selections.
Assemble all modules into an engineering project. Walk through the full engineering pipeline from architecture design, module development, testing to deployment.
Systematically learn Agent evaluation methodology, build monitoring, master multi-dimensional optimization techniques.
Synthesize everything, independently complete a full large-scale Agent project. Open-source, deploy, ship.
A complete large-scale Agent β multi-agent + tool ecosystem + long-term memory + self-evaluation + deployment ops. Ready for your resume or as a live SaaS.
View Complete Blueprint βWe hand-pick the most valuable ones from thousands of AI Agent projects, organized by category.