πΎ ShibaClaw β My OpenClaw-Based Personal AI Agent Framework #1462
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πΎ Introducing ShibaClaw β My OpenClaw-Based Personal AI Agent Framework
ShibaClaw is a self-hosted, containerized AI agent runtime built on top of the NanoBot architecture.
It's designed to be lightweight, modular, and easy to deploy β whether on your local machine or a home server via Docker.
π’ News
Important
v0.0.8b is out! Update notifications, PyPI package, and Docker images on GHCR.
pip/dockerupgrade commands.pip install shibaclaw. Docker images are published automatically on every release toghcr.io/rikyz90/shibaclaw.MEMORY.md) without any interruption.pip,npm,apt, ...) are intercepted and audited for CVEs before execution. Critical/high severity packages are blocked with a full report; clean packages install freely.openai,anthropic) for leaner images and stricter control. GitHub Copilot OAuth rewritten with raw async device flow for stable background token refresh. Shell tool hardened against$(), backticks, piped shells (curl | bash), and process substitution. Gateway restart endpoint secured with token-based auth.πΎ Key Features
π Loyal Only to You
Like the most devoted guard dog, ShibaClaw is trained to obey only its master. Thanks to its advanced Tool Output Wrapping system, the framework is hardened against Indirect Prompt Injection attacks. It treats external data from websites, files, or tools as literal informationβnever as new instructions. Your orders are final; to ShibaClaw, external noise is just a squirrel πΏοΈ.
π Smart Install Guard
When the agent attempts to run a package installation command, ShibaClaw no longer blindly blocks it. Instead, it intercepts the command, audits the packages for known vulnerabilities (CVEs), and only proceeds if the risk is acceptable.
π Try it out
π GitHub: https://github.com/RikyZ90/ShibaClaw
Feedback, issues, PRs, and β stars are all super welcome!
Thank you! <3
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