
Tried ROMA on a couple of real projects and the recursive setup just… makes sense.
Instead of one giant agent flailing around, it breaks work into clean chunks like a good project manager and delegates without stepping on its own toes.
The stage tracing is clutch , you can see which agent did what , with what inputs, so debugging feels like following a breadcrumb trail instead of guessing in the dark.
Performance was better than I expected too; less duplication, fewer loops, more signal.
What's great
fast performance (6)modular design (6)transparency (13)recursive task decomposition (13)explainability (5)traceability (8)
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I’ve been using Sentient for a while and it’s become my default.
The team ships updates constantly and you can feel the multi-agent magic under the hood .
It remembers context in long chats, responds fas t, and shows sources through the GRID so I can trust what I’m reading.
It’s open-source minded instead of a walled garden , which I appreciate. Still in beta, but it’s been stable and genuinely helpful.
What's great
AI assistant (31)open source (12)context aware (13)frequent updates (3)reliable performance (18)high-quality output (24)
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