Today we’re open-sourcing Numbat, an agent-detection and response layer that is designed to work across agent harnesses.
Numbat gives security teams visibility into agent activity, with controls to block selected actions before execution.
Read more: https://t.co/LVhkCJ2sMt
Numbat works across agent harnesses on desktop, CLI, IDE, and gateway agents.
It supports live monitoring, local detection, pre-action blocking, and forensic reconstruction from existing session artifacts.
Numbat runs across our systems and sends audit events, findings, and security alerts to Computer.
Computer continuously analyzes this telemetry, escalates suspicious behavior, and proposes new on-device detections for Numbat, creating a continuously improving detection flywheel.
Numbat ships as a single Go binary for macOS, Linux, and Windows.
Available now under Apache 2.0: https://t.co/mAmU22Vhzn
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
Why it matters
Security teams get agent harnessThe scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.Full definition →-agnostic visibility into what coding and desktop agents are doing, with the ability to block selected actions before execution and reconstruct past sessions from existing artifacts. Apache 2.0, single Go binary.
