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Two kinds of machine were modelled as one. A host somebody brings is theirs, reached through a team, and should die with their account. A host bought to serve other people's workloads is none of those things — and there was nowhere to put it, so it had to be registered under an employee's personal team, where it was that person's property and their account going away took it with them. Ownership becomes an either/or. A machine names a team or an organisation, exactly one, enforced by a check constraint rather than by convention: both null is a host nothing can bill, and both set is two answers to "whose is this?" where whichever join a query happens to take decides who pays. Hardware an organisation owns has no team and no person at all, which is the point. The organisation is deliberately not a billing subject and has no plan columns. It says who owns the metal; a team pays for what it uses either way. Membership is derived from a verified email domain rather than stored. An address is already the root identity, so a second record of who belongs where is a second answer that can disagree with the first — and deriving it means signing in with a personal address still gets an ordinary personal account, which is what lets one person hold a company account and use the consumer product. Nothing is granted on an unverified domain or an unverified address: either one is a string somebody typed. Entitlement on fleet hardware refuses everyone for now, with a reason that says so. What grants a run on metered hardware is a plan, and there is nothing to ask yet, so it fails closed rather than giving the expensive case away. The branch is written out so the plan check has one obvious place to land. Routes are read-only, and nothing seeds an organisation. Creating one grants membership to everyone who can receive mail at a domain, so it is an operator action against the database — a migration that inserted one would insert it into every deployment, including ones we have nothing to do with. See docs/deploy.md.
Run your games on a GPU you don't own — or one you do. Nestri puts an interactive workload in a hardware-accelerated virtual machine and streams it to you over QUIC, at a latency that lets you play rather than watch.
Note
This repository is mid-rewrite, and the documentation is behind the code. The guest-side components arrived recently and their docs are thin. Nothing here is stable yet: expect directories to move and interfaces to change. Proper documentation is on the way — issues and questions are welcome in the meantime, and are genuinely useful for deciding what to write first.
Try it now — nesdoctor
One thing here is finished and runs on its own machine, today:
# Linux and macOS
curl -fsSL https://doctor.nestri.io/install.sh | sh
# Windows
powershell -c "irm https://doctor.nestri.io/install.ps1 | iex"
It tells you whether your machine could host games for other people, and
measures the number that actually decides whether streaming a game feels
right — not your download speed, but how much latency your connection adds
when it is busy. A 500 Mbps uplink that queues for 300 ms under load cannot
carry a game; a 25 Mbps one with fq_codel can. Almost nobody has seen their
own figure.
upstream 35 Mbps
latency, idle floor 56 ms
latency, loaded 185 ms
added under load +129 ms grade F
presentation path x11 · bspwm
eDP-1 1920x1200 @ 60 Hz, 8-bit
Vulkan decode h264, h265
It also reads your display out of its EDID — resolution, refresh, colour depth, HDR transfer functions, BT.2020, chroma — and what your hardware can decode. Those decide what is worth sending over the wire, and we would otherwise be guessing from one panel in one room.
It does not stream a game. It is the piece that has to exist before
anything else can, and most machines will come back CLIENT — which is a real
answer, not a failure.
Downloads one binary, verifies its checksum, runs it, deletes it. Installs
nothing, needs no administrator rights, touches no system directory. Nothing is
uploaded: it prints a link, lists exactly what the link contains, and opens it
only if you press Enter. The scripts those URLs serve are
apps/nesdoctor/install/ in this repository, so you
can read them before you run them.
Source and the full story: apps/nesdoctor.
What is here
Two halves that meet over the network and share very little else, plus one thing that runs on your own machine.
The control plane — TypeScript
apps/api |
The public REST API. Identity, teams, machines, games, pairing. |
apps/auth |
A self-hosted OpenAuth issuer — Steam and SSH-key login. |
packages/core |
The domain: every table, every operation, no HTTP. |
packages/auth |
Shared auth types and subjects. |
Postgres for state. Both run on Cloudflare Workers today and as ordinary
containers wherever you like — one handler each, no infrastructure-as-code, and
a Dockerfile in each app. See docs/deploy.md and
docs/dns.md.
The guest — Rust, inside the box
These run inside a virtual machine, beside the game. None of them talk to the control plane.
apps/nescope |
A headless Wayland compositor for one fullscreen client. A lighter answer to the same problem gamescope solves. |
apps/nescapture |
A Vulkan implicit layer. It captures frames from inside the workload's own process and encodes them on the GPU that drew them — no copy out to the CPU and back. |
apps/neswire |
Audio capture and transport. |
apps/neshub |
One connection out of the box. Muxes video, audio, cursor and input into a single QUIC stream to the client. |
crates/nesprotocol |
The wire types they all share, so no two ends can drift apart silently. |
On your own machine — Rust
apps/nesdoctor |
Whether a machine can host a box, and what its connection and display can really do. The first executable form of our host requirements — until it existed, a host was qualified by a human reading a table. Four dependencies; everything that could be done with the standard library is. |
The hypervisor the guest components run under is nesbox,
a separate repository: a micro-VM with a real GPU in it, using virtio-gpu native
context rather than passthrough, so one card can host several boxes at once.
Why a virtual machine
A container shares the host kernel, which makes strong isolation hard and a GPU harder. A micro-VM boots in about as long, isolates properly, and — with native context — gets close to bare-metal graphics. That choice is what makes "many sandboxes, one GPU" possible instead of one tenant per card.
Getting started
bun install
cp .env.example .env # compose reads every credential from here
docker compose up postgres # the database
bun run db:migrate # schema
bun dev # control plane, local Cloudflare runtime
docker compose up --build # or: the whole control plane as containers
cargo build --workspace # guest components
cargo test --workspace
The guest components expect a Linux host with a Wayland-capable GPU stack, and are not much use on their own yet — they are pieces of a box, and the thing that assembles a box is not open yet.
nesdoctor is the exception and needs none of that:
cargo run --release -p nesdoctor
Status
Working: nesdoctor — released, and the only part a stranger can operate
today. The API, auth, the domain model, and the guest components listed above.
Not here yet: the box lifecycle, storage, the edge, and the client. Some of that will open as it is written; some is deliberately closed. What decides which is whether it handles your data — that half is open on principle — or decides our capacity, which is the part we sell.
Contributing
Early, and the ground moves. The two most useful things you can do right now
cost a minute each: run nesdoctor and send the result, because we have
almost no idea what the machines on the other end of this look like; and tell
us where the documentation failed you. Conventional commits; explain why in
the body.