How it works

A commons for local AI — no Big Tech in the middle

LAPSUS is a peer-to-peer network of personal machines running local models. When your GPU sits idle you share it; when you need more, you borrow someone else's — and the prompt travels directly from your machine to theirs. A thin coordinator only introduces the two peers and keeps the credit score. It never sees your prompts.

Coordinator introduces peers · keeps credits signaling signaling You your local model A peer their local model prompt ⇄ answer

Prompts and answers go direct & encrypted — they never touch a server.

No Big Tech

Community-shared resources instead of a handful of cloud giants. Voluntary, non-commercial — a commons, not a marketplace.

True peer-to-peer

You share resources and you can use others'. Requests go straight from client to client over a direct encrypted channel — no server in the path.

Give some, get some

Share a text model; tap someone's image generation or text-to-speech in return. Together we stay independent and build a decentralized local-AI network.

Security

Built in from the ground up

No tools on providers

An AI model is just a text generator — text in, text out. There's no tool executor, no file access and no shell wiring it to your machine, so a remote prompt simply can't read files, fetch URLs or run code — the capability isn't there. Tool-calling fields are stripped from every request, by design.

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An additional guardrail prompt

On top of that, every served request is prefixed with a light safety prompt, enforced by the serving machine so the asker can't bypass it. Permissive by default — and fully open.

Read the prompt →

Hard limits

You set how much you give (idle-time %, max output, concurrency). When your quota is hit the network simply stops routing to you until it resets — requests don't even arrive.