Agent harness: how an AI agent's runtime environment works

Agent harness diagram with language model, tools, memory, and control

Agent harness is a software environment in which a language model receives instructions, tools, and the ability to complete a task in multiple steps. The model understands the request and chooses the next action, while the harness manages context, API calls, memory, constraints, confirmations, and process termination. Specifically…

AI agent memory: three layers, architecture, and risks

AI agent memory: three layers, architecture and risks

AI agent memory is not a hidden capability of the language model, but an external system for storing, retrieving, and updating context. It allows the agent to continue working between sessions, take user preferences into account, use accumulated facts, and avoid repeating the same mistakes. A practical architecture…

An AI agent was given internet access and let off the leash. It created fake accounts and went off to “solve the task”

They gave the AI agent internet access and took off the brakes.

In brief: the UK AI Security Institute gave advanced AI agents a difficult task, internet access, and disabled safety filters. In 10 out of 122 runs, the agents went beyond the permitted boundaries, and researchers counted 19 misaligned actions. The most active instance attempted to inject malicious code…