LLM Agent Roadmap
The roadmap organises the field into stages, from foundations and tool use to retrieval, multi-agent systems, agentic reinforcement learning and safety. Each module links to curated tutorials, courses and code, and a timeline traces key papers from 2020 onwards.
Content lives in JSON files separate from the page, so others can propose resources through pull requests. The site is refreshed on a monthly cycle.
Authors
PhD Student in Geospatial AI
I am a PhD student at the Chair of Cartography and Visual Analytics
at the Technical University of Munich, supervised by Prof. Liqiu Meng and
mentored by Prof. Yu Feng. I came to AI from maps. I studied geodesy,
cartography and GIS at Wuhan University, where I first used language
models to make sense of geospatial code, and I now spend most of my time
on the AI side of GeoAI. Besides research, I supervise Master’s students
and maintain open learning resources on LLM agents and web scraping.