Definition
Plain language
A multi-agent AI system from Georgia Tech that solves research-level math problems.
As stated in the literature
Research-Math Agent, a Georgia Tech agentic system using initializer, three proposers, three verifiers, structured shared memory, and six specialized modules over Claude Opus 4.6 to attack First Proof benchmark problems.
Why it matters: It's a concrete demonstration that splitting roles across specialized agents — rather than asking one model to do everything — can push frontier performance on hard research-math problems.
For example, RMA's three proposer agents each draft a candidate proof step, three verifier agents independently check them, and only verified steps are committed to shared memory.
Heard on the show
“… The paper is called "RMA: an Agentic System for Research-Level Mathematical Problems," from Zelin Zhao and colleagues at Georgia …”Episode 076 — Same Model, Organized Differently: How an Agent Architecture Beat Frontier Systems at Research Math