Happiest Labs
Local-first agent OS
@happiestlabs
Happiest Labs — fig. sheet 01
The local-first agent OS
Rev A2026·05·21

Fig. 00 — the harness

The local-first
agent OS

One inference stack on your hardware. Frontier-class agents run on top — and your data never leaves the machine.

To put AI on your data, the cloud made you ship it away.

your
data
uploads
their
cloud
meter
$ / token ▲

Pay by the token. Hand over what's private. Accept whatever the context window can hold.

So we built it the other way around

ON

DEVICE

The harness runs where your data already lives.

Fig. 01 — one stack, many agents

Agent 01
Agent 02
your agent
Happiest runtime — local inference
Apple Silicon · M-series · your machine
112 t/sthroughput
$0per token
0 bytesleave the box
∞context

Why now? Hardware crossed the line in 2026.

Apple Silicon now runs frontier models at 100+ tokens/sec on a $2,000 machine. The big labs can't follow — cloud lock-in is their business model.

Fig. 02 — local tokens/sec, by Apple Silicon generation.

Fig. 03 — agents on the harness

01

Revenue Debugger PM

Causal analysis across PostHog, Stripe, GitHub, logs, SQL → ranked tickets with code refs.

$14M leaks found

02

Team Connectivity

A connectivity layer that lets local agents work across a team's tools.

booting…

03

Your agent

Any role, with the judgment of someone who's done the job at scale.

Outcomes, not chatbots. The OS ships the work — the agents are how.

Run Happiest Labs.
The local-first agent OS.

Early access — runs on your hardware

see Agent 01 spec
Agent 01 · spec HQ.0001

Revenue Debugger PM

$14M leaks found read spec