ROMA by @SentientAGI Recursive Open Meta Agent pushing SOTA in reasoning + search

Seal-0 45.6%
FRAMES 81.7%
SimpleQA 93.9%

Why it matters
Stage-traced recursion makes complex tasks tractable, transparent, and debuggable; independent subtasks run in parallel with human-in-loop at any node

How it works
Atomizer ⟶ detect complexity
Planner ⟶ split goals
Executor ⟶ tools/agents
Aggregator ⟶ synth + answer

Utility in the GRID
With @useTria, agent intent reaches real-world settlement across chains and card rails; combine with Dobby’s Loyal AI training to encode persistent values that resist jailbreaks and prompt injection

Take
Meta-agents that decompose, coordinate, and expose reasoning are primed for enterprise workflows and governance; does @eigenlayer x Judge Dobby become the adjudication norm for subjective disputes

Pick your edge: ROMA’s reasoning, Loyal AI, or payments rails which unlocks the next wave of #AGI apps? Reply with your choice and why