ROMA

The backbone for open-source meta-agents

5.0•23 reviews•

682 followers

The backbone for open-source meta-agents

5.0•23 reviews•

682 followers

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ROMA is an open-source framework for building high-performance multi-agent systems. It uses a recursive, hierarchical structure to break down complex problems, enabling agents to solve sophisticated tasks with full transparency.

Free

Launch tags:Open Source•Artificial Intelligence•GitHub

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ROMA an open source framework for building multi agent system

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1yr ago

ROMA will soon be the backbone of Open Source AGI. good job

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1yr ago

ROMA organizes complex queries into clear subtasks, making problem-solving easier and more reliable.

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1yr ago

ROMA will be the backbone of open source AGI

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1yr ago

ROMA is very good

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1yr ago

ohh, sound this good

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1yr ago

From Sentient with love

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1yr ago

•••

3 4 5 6

5.0

Based on 23 reviews

Review ROMA?

Reviewers consistently praise ROMA for breaking complex, multi-step work into manageable pieces and making the whole process visible through clear stage-by-stage tracing. Users say this transparency makes debugging, prompt tuning, and trust much easier than with black-box agent tools, while the modular, open-source setup adds flexibility and confidence. Performance and reliability are often described as strong, especially on research and data-analysis tasks, though a few users note a steeper learning curve, slower execution on heavier workloads, and a need for more benchmark examples.

+20

Summarized with AI

Pros

Cons

Reviews

Most Informative

5.0

Based on 23 reviews

Review ROMA?

+20

Summarized with AI

Pros

recursive task decomposition (13)

transparency (13)

open source (10)

traceability (8)

fast performance (6)

modular design (6)

explainability (5)

scalability (4)

clear documentation (3)

high accuracy (3)

Cons

lacking benchmarks (2)

Pros

Cons

Reviews

Most Informative

•1 review

Step by step thinking It reveals every stage of ROMA. We can follow every logical step. Transparency = trust ROMA clearly shows which tool was used where, which decision was taken and why. Using multiple agents and tools often creates chaos. But here, everything is connected like a chain, and the result feels fluid. It can be a bit slower in heavy tasks, and more benchmark samples would be nice. But these seem like growing pains.

What's great

transparency (13)tool integration (3)traceability (8)

What needs improvement

slow performance (1)lacking benchmarks (2)

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1yr ago

•1 review

I gave ROMA a try, and I was genuinely impressed. It breaks down complex questions into clear steps, so you can follow exactly how it arrives at the final answer. What stood out for me is the transparency — it doesn’t give you the feeling of a “black box” at all. Yes, it can be a little slow on heavier tasks, but the accuracy definitely makes up for it. All in all, it’s one of the most solid open-source tools I’ve tested recently.

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1yr ago

•2 reviews

ROMA is built with the developer experience in mind. One of its most lauded features is its commitment to complete transparency. Stage tracing allows you to see exactly what happens at each step of the process—which agent was called, what its inputs were, and what it produced. This visibility is invaluable for debugging, optimizing prompts, and refining the agent’s logic.

What's great

transparency (13)traceability (8)

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1yr ago