If they had something of value, as a research neolab, they would not just release it but build it into their systems and use it.

Most of these agentic swarm systems are memory and context managers/compressors. However it's clear from both the paper and the blog that everything is just natural-language-based and generated, effectively making it slop from start to finish.

Instead of describing how or what was stored by each agent, and how, in what format, how it was selected, the whole process is described as Claude-generated workflows and pipelines, which brings 0 value.