LITMUS

Run a Parallel Autonomous
ML Research Organization
on your OpenClaw instance.

v0.1.0 MIT-0 OpenClaw skill

TELL YOUR OPENCLAW AGENT

"Install litmus and
set it up for my machine"

Your agent checks your GPU, proposes a config, spawns workers, and registers cron jobs — one conversation.

2–8 PARALLEL
WORKERS
5 min PER
EXPERIMENT
03:00 LEISURE
MODE
08:00 MORNING
DIGEST
01

Agents work
while you sleep.

Multiple native subagents run GPU experiments in parallel overnight. Each one modifies the training code, runs a 5-minute test, keeps wins, reverts losses — and loops forever.

A Director checks in every 2 hours. It reads every result, detects stagnation, and steers workers mid-run — no restart, no manual input.

worker-arch-1   running
worker-opt-2    running
worker-gen-3    running
director        next in 47m
best val_bpb1.4823
experiments312
keep rate38%
02

At 3am, they
start thinking.

Agents stop running experiments and enter leisure mode. They read arxiv papers, find contradictions in their own results, and write speculative hypotheses for tomorrow.

At 6am they wake up. The best overnight ideas are queued as the first experiments of the day.

06:00 RESEARCH
03:00 LEISURE
midnight noon midnight
03

Every morning,
a research briefing.

At 08:00, a research narrative arrives in your Telegram. Not a log — a story. What worked, what didn't, what surprised them, what they're running today. Written for a researcher, not a sysadmin.

LITMUS DIGEST  ·  08:00
↑ New global best: 1.4823 val_bpb
arch-1 found WINDOW_PATTERN=SLSL beats LSLS by 0.031
opt-2 tried 14 LR variants — 3 kept, 11 reverted
Overnight: 3 arxiv papers → 5 moonshot hypotheses
Today: agents running SLSL×depth sweep

GET STARTED

One prompt.
A lab running overnight.