Autonomous MoE Live

SWARMIC SUBSTRATE Collective Intelligence

Engineering decentralized AI through autonomous swarm intelligence, collective neural models, and emergent compute substrates.

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Documentation

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Features

Core Intelligence

Advanced infrastructure engineered for large-scale enterprise AI workloads.

Autonomous Swarms

Deploy coordinated multi-agent systems that automate complex corporate processes and orchestrate business operations.

Enterprise Reliability

Robust failover protocols ensure that workflow automation and agent networks continue running without any operational downtime.

Scalable Infrastructure

Seamlessly expand computing capacity to support complex multi-model processing and heavy enterprise workloads.

Optimized Inference

Engineered for efficient model execution with minimal resource footprint and maximum processing speed across business systems.

Synchronized Knowledge

Maintain constant synchronization across distributed data layers to ensure consistent decision-making outpust across all active systems.

Enterprise Ready

Production-grade interfaces and robust integration standards designed for secure deployment within complex corporate environments.

Architecture

Engineering the collective intelligence substrate

A reliable foundation layer engineered for multi-model synchronization and secure system processing.

Cognitive layer

Model Router

Orchestrator

Neural Mesh

Inference Nodes

Vector Store

Data Pipeline

Consensus Node

Swarmic Substrate Core

Quick Start

Initialize the Substrate

$ npm install @swarmic/substrate
$ substrate init my-cluster
$ substrate deploy

Cluster deployed successfully!
Nodes: 5 | Status: Healthy | Region: auto

import { Substrate } from '@swarmic/substrate';

const cluster = await Substrate.init({
  name: 'my-cluster',
  nodes: 5,
  region: 'auto'
});

await cluster.deploy();
console.log('Cluster deployed!');

use swarmic_substrate::{Cluster, Config};

#[tokio::main]
async fn main() {
    let cluster = Cluster::new(Config {
        name: "my-cluster".into(),
        nodes: 5,
        region: Region::Auto,
    }).await.unwrap();

    cluster.deploy().await.unwrap();
}