Technical Capabilities

Autonomous agent swarms, hybrid enterprise RAG, low-latency streaming, fine-tuning, and bare-metal GPU compute — engineered for mission-critical production.

Swarm Orchestration

Multi-Agent Swarm Orchestration & POSIX Sandboxing

Explore Agent SDKSchedule Technical Demo

Coordinate autonomous teams of specialized models with hierarchical supervisor DAGs. Features 187ns hot-resume, 477 bytes of RAM per idle agent, and 260+ pre-built Model Context Protocol (MCP) integrations.

Agent Wake Time

107 ns

Idle Memory Footprint

477 B

Pre-built MCP Connectors

260+

Sandbox Isolation

MicroVM POSIX

Architectural Topology

Architectural Specifications

Goal decomposition into Directed Acyclic Graphs (DAGs) with worker agent task allocation

Real-time output verification, automated confidence scoring, and human-in-the-loop gates

Rootless MicroVM sandboxes providing full bash/POSIX execution without host risk

Episodic, vector, and structured state memory substrate preserved across long agent sessions

agent-swarm.ts

TypeScript SDK

import { Agent, Swarm } from '@hanzo/ai'

const swarm = new Swarm({
  supervisor: 'enso-ultra',
  workers: [
    { role: 'coder', tools: ['forgejo', 'microvm_exec'] },
    { role: 'analyst', tools: ['postgres_olap', 'rag_retrieve'] },
    { role: 'auditor', tools: ['pii_redactor', 'policy_gate'] },
  ],
})

// Decomposes goal, delegates tasks, and validates sandbox output
const result = await swarm.execute({
  goal: 'Audit Q3 cloud spending and generate automated PR',
  sandbox: 'microvm-isolated',
})

Enterprise Technical Matrix

Performance SLAs, protocols, concurrency targets, and isolation boundaries across all platform capabilities.

CAPABILITY DOMAIN	STANDARD / PROTOCOL	LATENCY & PERFORMANCE SLA	CONCURRENCY TARGET	ISOLATION
Autonomous Agent Swarms	Model Context Protocol (MCP) + POSIX	107 ns wake, 125 ns spawn, <25ms tool dispatch	100,000+ concurrent worker agents	Rootless MicroVM container sandboxes
Enterprise RAG 2.0	pgvector (HNSW) + BM25 + ColBERT	Sub-10ms vector search, 80.7 F1 LoCoMo	25,000 queries per second (QPS)	Per-tenant row-level security (RLS)
Real-Time Streaming & Voice	HTTP/2 SSE, WebSockets, WebRTC	<100ms first token, <300ms audio turnaround	1,000,000 simultaneous streams	Global Edge PoP multiplexed channels
Model Fine-Tuning & SFT	PyTorch Distributed + Deepspeed + PEFT	Real-time LoRA dynamic adapter hot-swap	Multi-adapter concurrent inference	Dedicated single-tenant GPU nodes
Bare-Metal GPU Cloud	NVIDIA SXM5 NVLink + 3.2 Tbps InfiniBand	Direct RDMA zero-copy memory transfers	Petabyte-scale distributed training	Bare-metal single-tenant physical host
Trust & Governance Rail	OIDC, SAML 2.0, SCIM, Hardware HSM KMS	Zero added latency inline PII redaction	Enterprise-wide tenant scale	Hardware KMS enclave envelope encryption