System Status: Distributed

AUTONOMOUS
LOGIC PROTOCOLS.

Orchestrating distributed swarms for non-linear problem solving. High-latency reduction via edge-compute synthesis.

Neural Net Convergence: 99.8%Hash Rate: 450 TH/sActive Nodes: 1042Neural Net Convergence: 99.9%Hash Rate: 462 TH/sActive Nodes: 1047Neural Net Convergence: 99.10%Hash Rate: 474 TH/sActive Nodes: 1052Neural Net Convergence: 99.11%Hash Rate: 486 TH/sActive Nodes: 1057Neural Net Convergence: 99.12%Hash Rate: 498 TH/sActive Nodes: 1062Neural Net Convergence: 99.13%Hash Rate: 510 TH/sActive Nodes: 1067

CORE
ARCHITECTURE

The foundational layers of the swarm, designed for fault tolerance and speed.

Self-Healing API

Automatic rerouting of failed requests through redundant node clusters. The mesh heals itself instantly upon node disconnect.

Module Active

Neural State Sync

Real-time ledger propagation across all active agents ensures atomic consistency without central bottlenecking.

Module Active

Predictive Scaling

Heuristic resource allocation based on incoming packet velocity. The system breathes, expanding and contracting with demand.

Module Active

DIRECT
INTEGRATION

Deploy swarm intelligence into your existing infrastructure with a single package.

Typescript Ready Rust Bindings
bash — 80x24
$npm install @collabrachain/core
+ @collabrachain/core@2.4.0
added 42 packages in 1.4s
$swarm init --mode=distributed
> Initializing Neural Mesh...
> 12 Nodes Detected
> Swarm Ready.
$

Zero Configuration

The agent runtime automatically detects available compute resources and spawns worker threads to match. No manual sharding required.

Cryptographic Identity

Every node in the swarm is issued a rotating ed25519 keypair. Bad actors are mathematically isolated from the consensus pool.