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[return to "Towards a science of scaling agent systems: When and why agent systems work"]
1. Falimo+PP[view] [source] 2026-02-02 01:05:43
>>gmays+(OP)
I've been building something in this space ("Clink" - multi-agent coordination layer) and this research confirms some of the assumptions that motivated the project. You can't just throw more agents at a problem and expect it to get better.

The error amplification numbers are wild! 17x for independent agents vs 4x with some central coordination. Clink provides users (and more importantly their agents) the primitives to choose their own pattern.

The most relevant features are...

- work queues with claim/release for parallelizable tasks - checkpoint dependencies when things need to be sequential - consensus voting as a gate before anything critical happens

The part about tool count increasing coordination overhead is interesting too. I've been considering exposing just a single tool to address this, but I wonder how this plays out as people start stacking more MCP servers together. It feels like we're all still learning what works here. The docs are at https://docs.clink.voxos.ai if anyone wants to poke around!

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2. dmix+JY[view] [source] 2026-02-02 02:27:54
>>Falimo+PP
Can you explain a usecase for Clink
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