A routable AI compute fabric,
not another single-cluster tool.
mlxMesh federates geographically-spread machines into one distributed inference network — with strict privacy tiers, measured (not declared) performance accounting, and no native token.
What it is
Most distributed inference tools (e.g. Exo) work within a single LAN cluster. mlxMesh adds a coordination layer above that: it federates multiple clusters across the internet into a routable mesh.
Dual-lane routing
Fast lane for interactive jobs (resolver-routed, low-latency), background lane for recurring/batch jobs (scheduler-routed, sticky-session).
Division-order accounting
Measured resource lines, not declared promises — credits from bootstrap grants decay as earned capacity grows.
Sensitivity tiers
LOW / MODERATE / HIGH_REQUIRES_ATTESTATION, with a Secure Enclave gate on Apple Silicon for the strictest tier.
Ed25519 node identity
Every node's identity is derived from its public key — never operator-chosen, never spoofable.
iOS coordination layer
iPhone/iPad devices classify on-device and host encrypted payload pointers, adding a privacy layer without becoming compute nodes.
Portable wallet identity
An Ed25519 account key, iCloud-Keychain synced and seed-recoverable, that consolidates credits across a user's devices.
Native SwiftUI clients for iOS/iPadOS, tvOS, and watchOS render live topology and drive contribution/coordination directly from Apple hardware.
Open source, AGPL-3.0
mlxMesh is licensed under the GNU Affero General Public License v3.0. Free to use, modify, and distribute under AGPL-3.0 — network users (SaaS) get access to the source, and derivative works stay AGPL-3.0. Commercial use outside those terms (proprietary SaaS, closed-source integration) requires a separate commercial license.