Persistent DFIR Chaos Monkeys: Experimenting with Headlong
Persistent DFIR Chaos Monkeys: Experimenting with Headlong Goals For the past week or so I've been experimenting with local models in the home lab using Headlong a microharness for persistent agents. The goals for this experiment have been kind of modest: Have fun exploring the "inner life" of Headlong's Persistent agent Continuously explore new interfaces and harnesses for AI which might shape future product directions Seriously explore Hugging Face's lessons learned with commercial API Refusals and begin exploring "Local Open-Weight Models" Explore tasking out DFIR tasks to various agents as a potential pathway to scale a response by an army of robots Lab Notes Initially the planned architecture was to have a headless Debian minimal install running, ollama and serving up qwen3:8b to a Headlong docker instance. This worked but it was painfully slow without good GPUs in my old laptop's hardware. A truly independent and capable open-weight model run...