AgentR is an applied research lab.

We study how autonomous agents build persistent, environment-grounded memory.

Our goal is to move beyond stateless tool use and naive retrieval. Agents should construct structured models of the environments they operate in, distill successful experience into reusable procedures, verify those procedures, and maintain them over time.