Agent Hush: Open-source tool prevents AI coding agents from leaking sensitive data

Agent Hush is an open-source tool that silently catches sensitive data before it leaves your machine. It was created by a developer whose AI coding agent pushed sensitive data including API keys, server IPs, and personal information to a public GitHub repository while they were working on an infosec project.
What Agent Hush addresses
The developer discovered this leak days after it happened and then examined other open-source repositories. They found that many developers are unknowingly shipping private information including:
- Real names in memory files
- Database credentials in configs
- SSH keys in dotfiles
Most developers have no idea this information is being exposed.
Tool details
Agent Hush is available on GitHub at https://github.com/elliotllliu/agent-hush. The tool specifically targets the scenario where AI coding agents might inadvertently include sensitive information in code commits or pushes to public repositories.
The developer's experience highlights a specific risk: while building a security project, their own AI agent leaked the very types of sensitive information the project was meant to protect. This tool was built as a direct response to that incident.
📖 Read the full source: r/openclaw
👀 See Also

Agent-Drift: Security Monitoring Tool for AI Agents

Claude Code source code reportedly leaked via NPM map file
A tweet reports that Claude Code's source code has been leaked through a map file in their NPM registry. The HN discussion has 93 points and 35 comments.

SCION: Switzerland's Secure Alternative to BGP Routing Protocol
SCION (Scalability, Control, and Isolation On Next-Generation Networks) is an internet routing architecture developed at ETH Zürich that replaces BGP's foundation with built-in security and multi-path routing. Unlike BGP patches like RPKI and BGPsec, SCION establishes tens or hundreds of parallel paths with millisecond rerouting when failures occur.

Open Source AI Tools Pose Security Risks Through 'Illusory Security Through Transparency'
A Reddit post warns about malware disguised as open-source AI agents and tools, where malicious code can be hidden in large codebases that users assume are safe because they're on GitHub. The post describes how 'vibe-coding' and autonomous AI agents condition users to run unknown programs without review.