ClawSight – Lightweight monitoring and kill switches for AI agents
One-line setup, real problem: $100 bill with zero visibility into what a Telegram agent was doing.
AngelLab is a modular host-security and anomaly-detection daemon
inotify + sliding-window anomaly detection, but early-stage and competing against established tools.
Linux system administrators and security engineers
osquery · Wazuh · auditd
I’ve been experimenting with a small open source project called AngelLab. The idea is to build a modular host monitoring system for Linux where detection logic runs in separate worker processes ("Angels") supervised by a central daemon ("Lab").
Each Angel watches a different subsystem (filesystem integrity, outbound connections, process execution, memory growth patterns, etc.) and emits structured events that the Lab aggregates and exposes through a CLI, Prometheus metrics, or log pipelines.
The goal is to make it easy to extend host monitoring by adding new workers without modifying the core daemon.
It's still very early and experimental, so I'm mostly interested in feedback on the architecture.
One-line setup, real problem: $100 bill with zero visibility into what a Telegram agent was doing.
Docker RCA agent with socket proxy security beats waking to logs yourself.
I’ve been using the new Claude Code CLI and Codex extensively, but I found myself constantly babysitting the terminal or waiting for rate limits to expire. I wa
Kernel-level AI agents on Android, but half-baked security model and unclear differentiation.
Local multi-agent orchestration that claims autonomy—but execution clarity and real-world viability remain unproven.
Another async Python AI agent framework in a saturated category with no novel differentiation.