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.

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Maker Comment

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Hi everyone! I use Gemini's Deep Research every day. It's my go-to after trying all the other deep research tools out there. So, I was pretty shocked when I saw ROMA, an open-source framework, not just competing with, but significantly outperforming top commercial systems on some tough benchmarks. ROMA is an open-source framework for building these kinds of multi-agent systems. Because it's open, you can plug in any model you want, local or API, and connect your own data sources to build custom agents. The official examples already show its potential: a general task solver, a deep research agent, and a finance agent. That finance agent idea is pretty interesting for building high-net-worth products. An AI Buffett, maybe? :P

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5mo ago

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5.0

Based on 23 reviews

Review ROMA?

ROMA earns strong praise for turning complex, multi-step work into clear, traceable flows. Users highlight its recursive task breakdown, transparency via stage tracing, and reliable coordination that cuts duplication and eases debugging. Developers commend its open-source ethos, modularity, and steady updates, noting solid performance and production-ready flexibility. A few mention a learning curve and occasional slowness on heavy tasks, but the tradeoff favors accuracy and control. Early benchmarks and real-world trials suggest dependable scalability. Overall, ROMA feels disciplined, trustworthy, and community-driven progress in multi-agent tooling.

+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

•2 reviews

What's great

fast performance (6)open source (10)

The platform runs incredibly fast and feels rock-solid in every way. What I love most is that it’s built on an open-source foundation — that’s a huge plus for me. My experience with Sentient Chat has been completely smooth, without a single issue, and I’ve got to give credit to the developers for such excellent work. The steady flow of weekly updates really shows their drive to keep improving

vs Alternatives

I chose ROMA because it combines speed, stability, and openness better than any alternative. The platform’s open-source foundation gives me full transparency and flexibility, while its modular design makes customization effortless. What really stood out is the seamless user experience everything just works smoothly and the team’s consistent weekly updates, showing real commitment to progress.

In short: ROMA feels modern, reliable, and community-driven a rare combination

How modular is the architecture for swapping components?

The architecture is highly modular components can be swapped or upgraded independently through clear APIs, enabling easy customization, scalability, and maintenance

Ratings

Ease of use

Reliability

Value for money

Customization

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1 view3mo ago

•1 review

What's great

open source (10)transparency (13)recursive task decomposition (13)explainability (5)traceability (8)

ROMA changes the very logic of creating agent systems. It doesn't just provide an API or SDK, but introduces a philosophy of recursive thinking. Agents collaborate not as isolated processes, but as a living collective in which everyone knows their role. The transparency is particularly impressive: you can see the entire decision-making chain and understand how the system arrives at a specific result. This is unique in an environment where most AI approaches leave the user without explanations. For me, ROMA is not just a framework. It is the foundation on which open, verifiable, and decentralized agent ecosystems can be built.

Ratings

Ease of use

Reliability

Value for money

Customization

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4mo ago

•2 reviews

ROMA encourages a more structured and disciplined way of tackling challenges. It breaks down complicated problems into smaller parts, which are assigned to specialized teams or individual members. This approach allows students to grasp the ideas behind modular design and organizational theory. It's not just about coding; they’re basically building a digital organization. Plus, since it's recursive, these teams can develop their own internal structures, reflecting how complex systems both man-made and natural are organized. This hands-on experience helps them really get concepts like emergence, delegation, and breaking down tasks.

What's great

modular design (6)recursive task decomposition (13)

Report

4mo ago

•2 reviews

What's great

fast performance (6)open source (10)

vs Alternatives

In short: ROMA feels modern, reliable, and community-driven a rare combination

How modular is the architecture for swapping components?

The architecture is highly modular components can be swapped or upgraded independently through clear APIs, enabling easy customization, scalability, and maintenance

Ratings

Ease of use

Reliability

Value for money

Customization

Report

1 view3mo ago

•1 review

What's great

open source (10)transparency (13)recursive task decomposition (13)explainability (5)traceability (8)

Ratings

Ease of use

Reliability

Value for money

Customization

Report

4mo ago

•2 reviews

What's great

modular design (6)recursive task decomposition (13)

Report

4mo ago

ROMA

The backbone for open-source meta-agents

The backbone for open-source meta-agents

Have a question about ROMA? Ask it here and get a real answer.

Do you use ROMA?

Maker Comment

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Have a question about ROMA? Ask it here and get a real answer.

Do you use ROMA?

Maker Comment

What's great

vs Alternatives

How modular is the architecture for swapping components?

What's great

What's great

What's great

vs Alternatives

How modular is the architecture for swapping components?

What's great

What's great