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Hive — Multi-Agent Infrastructure

Self-hosted multi-agent infrastructure with 6-layer security, Docker sandboxing, and $10-29/month operating cost.

2026

Docker
Python
Gemini API
LiteLLM
Tailscale
OpenClaw
Infrastructure-as-Code
Hive — Multi-Agent Infrastructure project screenshot

System Architecture

Hive — Multi-Agent Infrastructure system architecture diagram

The Problem

Cloud AI agent services are expensive, opaque, and vendor-locked. Building multi-agent infrastructure on commodity hardware requires solving security, cost governance, and reliability challenges from scratch.

Approach

OpenClaw-native architecture on a Beelink SER5 mini PC with 6-layer defense-in-depth security, modular domain teams with depth-2 agent nesting, and Docker sandboxing with dropped capabilities.

Architecture

OpenClaw Gateway manages agent lifecycle with depth-2 nesting (orchestrator → team leads → workers). LiteLLM proxy provides multi-provider routing with hard budget caps. QMD hybrid search (BM25 + vector + MMR) provides local semantic memory. Tailscale mesh provides zero-public-port network security. 1Password CLI injects secrets at runtime via tmpfs.

Results

  • 22 Architecture Decision Records
  • 130+ tasks across 8 completed phases
  • 6-layer security model from network to supply chain
  • 5+ agents running with zero public ports
  • $10–29/month operating cost on commodity hardware

Lessons Learned

Defense-in-depth security on commodity hardware can match cloud-hosted alternatives when each layer (network, secrets, access control, sandboxing, encryption, supply chain) is implemented independently.