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gemmaclaw

v2026.5.0

Published

a month ago

Gemma-first personal AI assistant, auto-configured for your hardware. Built on OpenClaw.

Downloads

42

0High
0Medium
0Low

Gemmaclaw

Gemmaclaw makes it easy to run the best Gemma configuration for your hardware, out of the box. You tell it what you have (GPU, CPU, RAM), and it picks the right model, quantization, and backend so you can get a working Gemma-based assistant without tuning anything yourself. CPU-only setups are first-class, not an afterthought.

Built on top of OpenClaw. Volunteer-driven, Gemma-first.

Get Started

Setup, install, source-build, and command usage instructions live on the Gemmaclaw documentation site so there is one source of truth. Start with the Setup Guide.

Documentation

Setup Guide - prerequisites, installation, commands, troubleshooting
Self-Hosting Guide - find the best config for your hardware
Benchmark Results - quality scores, speed, per-task breakdown
Goals and Progress - roadmap and project status

Benchmarking

Benchmark instructions live in the Benchmark Kit documentation.

Contributing

Issues and pull requests are welcome. Keep contributions small, reproducible, and backed by data. See CONTRIBUTING.md.

Links

Gemmaclaw Site - setup guides, benchmarks, and self-hosting configs
OpenClaw - the framework Gemmaclaw is built on
gemma.cpp - CPU-first Gemma backend

Disclaimer

This project is composed of volunteers, including both Google engineers and members of the open source community. At this time, Gemmaclaw is not an official Google repository. The actions and opinions expressed in this repository do not reflect any official statements from Google, and no liability should be attributed to Google. This is a volunteer project intended to help empower people with AI, leveraging Gemma.