GitHub - superagent-ai/superagent: The worlds first purpose-built firewall for AI
The worlds first purpose-built firewall for AI. Contribute to superagent-ai/superagent development by creating an account on GitHub.
Personal Notes
I use this on top of Firewalls (typically prefer OPNsense, pfSense, or Firewalla for simpler use cases), as I prefer a belt-and-suspenders approach to security. This tool attempts to replicate, albeit poorly visually, Little Snitch functionality (the leading app for this functionality in macOS).
Network Security Tool
Summary
OpenSnitch is an open-source interactive application firewall for GNU/Linux that monitors and controls outbound network connections per application. Inspired by Little Snitch, it provides a GUI for approving or blocking connection attempts, blocking ads/trackers/malware domains, and managing multiple nodes centrally.
Highlights
- Interactive outbound connection filtering with a GUI for approving or blocking per-application network access
- System-wide blocking of ads, trackers, and malware domains
- Centralized management of multiple nodes from a single GUI
- SIEM integration for security monitoring and logging
- Can configure nftables system firewall directly from the GUI
auto-generated
Context
Audience
Linux users and system administrators who want per-application outbound network control and layered security
DomainNetwork Security
Formatopen source software project
Accessfree, open source on GitHub; available as deb/rpm packages
Source Overview
OpenSnitch is an open-source interactive application firewall for GNU/Linux that monitors and controls outbound network connections on a per-application basis.
It features a graphical user interface, configurable filtering rules, centralized management for multiple nodes, and system-wide blocking of ads, trackers, or malware domains. The firewall integrates with SIEM systems and enables users to approve or block connection attempts as they occur.
Topics
Related
Little SnitchnftablesOPNsensepfSenseFirewallaGNU/Linux firewalling
