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A New Standard in Open Multi Agent Systems Yes ITS ROMA ROMA is a carefully designed recursive system that changes how complex queries are solved. Atomizer identifies whether a task is simple or complex and this single decision prevents wasted time and unnecessary errors.

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What is ROMA? ROMA = Recursive Open Meta-Agent — an open-source framework (by @Sentient_AGI) for building multi-agent systems ✨ It’s designed to make complex reasoning structured, transparent & reliable. 🛠 How it works: 🔎 Atomizer → checks if a task is atomic or needs

ROMA (Recursive Open Meta Agent) represents a flexible and resilient framework for multi-agent systems. Its core operational principle is both elegant and powerful: 1. The Atomizer: This component acts as the initial judge, analyzing a query to determine if it is atomic 2. The

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GM CT ROMA: Sentient AGI's open source multi agent framework for complex AI tasks. Uses recursive hierarchy (Atomizer, Planner, Executor, Aggregator) to break queries into subtasks, enabling parallel processing, transparency, & human in loop. Tops benchmarks: 45.6% Seal-0

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ROMA (Recursive Open Meta-Agent) by @SentientAGI launched its v0.1 beta. What makes it special and how is it being used? ROMA tackles complex, multi-step problems by breaking them down into smaller, manageable subtasks. It uses a four-part system: the Atomizer divides the

ROMA by Sentient is the open backbone for meta-agents and long‑horizon tasks ROMA (Recursive Open Meta‑Agent) turns a goal into a recursive task tree - Atomizer (assess) -> Planner (decompose) -> Executor (act) -> Aggregator (verify/synthesize). With structured Pydantic I/O

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