I went looking at exo ( github.com/exo-explore/exo ) because it answers the question I keep getting about a constrained rig: what if the memory ceiling of one machine were not the ceiling? The repository's own description reads, plainly enough: "Run frontier AI locally" - and the README states what it does in one sentence: "exo connects all your devices into an AI cluster." Not just larger models, but, with day-0 support for RDMA over Thunderbolt 5, faster as you add machines.

The GitHub metadata as I fetched it on 11 November 2026: 48,311 stars, Apache-2.0, Python, created in June 2024, last pushed on 6 November 2026 - maintained by exo labs, and active.

What it is

exo is a peer-to-peer cluster runtime: you run the same software on each machine - a desktop, a laptop, a second box over Wi-Fi or Ethernet - and it forms a cluster without manual configuration.…