Inna Kovalchuk

I’m impressed by how ROMA (Recursive Open Meta-Agent) brings structure and clarity to complex AI tasks. Its recursive task tree approach makes big problems easier to break down, while the transparent context flow keeps every step understandable and debuggable. The open-source, modular design means you can plug in different agents or tools without friction, and the early benchmarks like the 45.6 % score on SEAL-0-show real, state-of-the-art power. For anyone building multi-agent systems, ROMA feels both practical and inspiring.