Local Agent Engineering: Edge Appliances for Private Data

Local agent engineering means the compute, the data and the agents all sit in the same room as the people who use them. The same Fractera agent engineering infrastructure that deploys to a VPS comes up on a single Apple Silicon device, so you get a complete on-premises workspace rather than a bare workstation.

A private appliance on your own hardware

Apple Silicon, always on

The device is a Mac mini or Mac Studio that lives in your office and stays awake 24/7. No rack, no data center, no cloud account to renew — just a quiet box on a desk that hosts the whole stack.

Nothing leaves the building

Your documents, meetings and voice memos are ingested locally. Because the graph and every recording stay on the device, your institutional knowledge never leaves the premises and there are no Clerk, Supabase or Vercel dependencies in the loop.

Memory that keeps the thread

LightRAG as a shared knowledge graph

At the center is LightRAG — a Knowledge Graph RAG that is the shared long-term memory of the whole appliance. Every agent reads from and writes back to the same graph, so context compounds instead of resetting each session.

Lower token spend, no amnesia

Because the graph keeps the thread, an agent recalls exactly the right context instead of re-reading the whole project. That removes session amnesia and keeps token spend down even when you switch models mid-task.

A model team you orchestrate

Five subscription platforms

Claude Code, Codex, Gemini, Qwen and Kimi run on the appliance through your existing subscriptions — no per-token API bills for the heavy lifting. Hermes routes work between them and uses LightRAG as long-term memory.

Brief by voice, get results as links

You brief the appliance the way you would brief a colleague — by voice from Telegram — and results come back as a clean link you can open on a phone or put on the boardroom screen.