Claude Skill

SafeRL-Lab/cheetahclaws

CheetahClaws (Nano Claude Code) is a fast, Python-native personal AI assistant inspired by OpenClaw and Claude Code. It supports any model and runs autonomously 24/7.

Overview

Stars744
Forks263
LanguagePython
Last pushed2026-06-30
Last synced2026-07-03
View on GitHub

Repository

OwnerSafeRL-Lab
Repositorycheetahclaws
Full nameSafeRL-Lab/cheetahclaws
Repo ID1,198,604,352

Install this Skill

pip install cheetahclaws

Registry

Typemcp_server
Quality score85/100
Verificationreadme_parsed
Last verified2026-06-06
Platforms
ClaudeMCPOpenClaw
Capabilities
browsercode-reviewpdfmemorysearchimagevideoterminalworkflowagentic-ai
Detected files
README.mddocker-compose.ymldocsexamplespyproject.tomlrequirements.txttests
Config keys
ANTHROPIC_API_KEYOPENAI_API_KEYGEMINI_API_KEYMOONSHOT_API_KEYDASHSCOPE_API_KEYZHIPU_API_KEYDEEPSEEK_API_KEYMINIMAX_API_KEYCUSTOM_BASE_URLCUSTOM_API_KEY
Install methods
  • pip install cheetahclaws
  • git clone https://github.com/SafeRL-Lab/cheetahclaws.git
  • pip install . # then: cheetahclaws
  • pip install ".[voice]" # voice input (sounddevice + faster-whisper)
  • pip install ".[vision]" # clipboard image capture (Pillow)

Summary

CheetahClaws (Nano Claude Code) is a fast, Python-native personal AI assistant that works autonomously 24/7. Inspired by OpenClaw and Claude Code, it supports any model and is designed for easy use and seamless integration.

Chinese description

CheetahClaws(Nano Claude Code):一款快速、易用、原生Python的个人AI助手,兼容任意模型,灵感源自OpenClaw与Claude Code,专为全天候自主为您服务而打造。

Key features

  • Python-native implementation for fast performance
  • Compatible with any AI model
  • Inspired by OpenClaw and Claude Code
  • Designed for 24/7 autonomous operation
  • Easy to use and integrate

Use cases

  • Personal AI assistant for daily tasks
  • Autonomous code generation and review
  • Continuous background automation
  • Multi-model experimentation and testing
  • Learning and prototyping with AI agents

README excerpt

English | [中文](docs/i18n/README.CN.MD) | [한국어](docs/i18n/README.KO.MD) | [日本語](docs/i18n/README.JP.MD) | [Français](docs/i18n/README.FR.MD) | [Deutsch](docs/i18n/README.DE.MD) | [Español](docs/i18n/README.ES.MD) | [Português](docs/i18n/README.PT.MD) <br> <div align="center"> <a href="[https://github.com/SafeRL-Lab/Robust-Gymnasium](https://github.com/SafeRL-Lab/cheetahclaws)"> <img src="docs/media/logos/logo-5.png" alt="Logo" width="280"> </a> <h2 align="center" style="font-size: 30px;"><strong><em>CheetahClaws</em></strong>: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems</h2> <p align="center"> <a href="https://cheetahclaws.github.io/">Website</a> · <a href="https://arxiv.org/pdf/2605.26112">Scaling the Harness</a> · <a href="https://github.com/SafeRL-Lab/cheetahclaws/issues">Issue</a> </p> </div> ### Quick Install ```bash curl -fsSL https://raw.githubusercontent.com/SafeRL-Lab/cheetahclaws/main/scripts/install.sh | bash ``` After installation: ```bash source ~/.zshrc # macOS # or: source ~/.bashrc # Linux cheetahclaws # start chatting! ``` Other install methods: [pip install](#alternative-install-with-pip) | [uv install](#alternative-install-with-uv) | [run from source](#alternative-run-directly-from-source-no-install) | [full details](#installation) ## 🔥🔥🔥 News (Pacific Time) - June 5, 2026 (latest, **v3.05.82**): **User-controllable token/cost budgets** — `/budget $5` / `/budget 200k` / `/budget daily $20` cap spend per session or per day, enforced before each model call; on hit the session auto-saves and you're shown how to `/resume` or raise the cap and continue (warns at ≥80%/95%; `--budget` sets it at startup). Details: [docs/guides/fe

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Data from GitHub. Synced on 2026-07-03