LLM Agent Roadmap

Tue, 15 Sep 2026 00:00:00 +0000

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.

Why I built an open learning map for LLM agents

Tue, 15 Sep 2026 00:00:00 +0000

When I started working on agents for geospatial AI, most of my time went into finding out what to read next. Blog posts, courses and papers were plentiful, but the order in which they made sense was not obvious, and many resources were only available in one language.

The is my attempt to write that order down. It groups the field into stages, links each stage to resources I found useful, and keeps a timeline of papers that shifted the direction of the field. Keeping the content in plain JSON makes it easy for others to correct or extend it, and a monthly update keeps it from going stale.

It is a personal map rather than a complete survey, so suggestions are very welcome on .

LLM Agents |

LLM Agent Roadmap

Why I built an open learning map for LLM agents