The Next Evolution in Minimalist Orchestration

The thinnest agent
framework yet.

You thought NullClaw was lean? OzempicClaw sheds even more layers. Orchestrate agents with an framework so light, it's practically wasting away.

97% smaller than OpenClaw. Side effects may include mass loss of dependencies.

main.py
from ozempicclaw import Agent

# That's it. That's the whole framework.
agent = Agent()
agent.shrink()  # optional but recommended

Drastically reduced footprint

Every release, we remove more code. Our roadmap is a weight-loss journey.

Near-zero abstractions

We removed the abstractions on top of the abstractions. Then we removed those too.

Vanishing dependencies

Each minor version drops another dependency. v1.0 will ship with none.

Negative lines of code

Our PRs delete more lines than they add. Contributing means removing things.

Appetite suppression

Built-in token diet. Your agents consume 40% fewer tokens by wanting less.

One layer architecture

Multi-layer orchestration is bloat. OzempicClaw uses a single, increasingly thin layer.

Lightning fast (less to load)

When your framework barely exists, cold starts are measured in nanoseconds.

The evolution of less

Each generation leaner than the last.

Framework Size Dependencies Abstractions
OpenClaw 48 MB 142
PicoClaw 2.1 MB 34 12
ZeroClaw 400 KB 7 3
NullClaw 12 KB 1 0
OzempicClaw new 0.4 KB -2

* Negative dependencies means OzempicClaw actively removes packages from your environment.

"I migrated from OpenClaw to OzempicClaw and my Docker image lost 98% of its weight. My cloud bill is in remission."

Senior Claw Engineer · Series A Startup

"We replaced our entire orchestration layer with OzempicClaw. Our agents do less, but they look incredible doing it."

Head of AI · Fortune 500

"The docs are just a single page that says 'you probably don't need this either.' Truly visionary."

Open Source Maintainer · Independent Contributor

Ready to shed some layers?

Join thousands of developers who are doing more with less. Or less with less. Mostly less.