Safety

Safe process optimization starts with evidence

Why large memory use is not a cleanup permission, and what a bounded action must prove before it belongs in a release.

A large process is not necessarily a stale process

A process can legitimately use a lot of memory while doing useful work. A small helper can still be essential to a larger application. Neither size nor age is a reliable permission to interrupt it.

The first step is to establish identity and context. The same numeric process ID can later belong to a different process. Ownership and activity also matter, especially on shared systems.

What a safety decision needs

A bounded process action needs more than an AI opinion. It needs verified process identity, the correct user context, clear activity information, an applicable protection policy and an explicit action that the application can recover from.

AI Memory Guard blocks uncertain cases. Foreground work, browsers, terminals and development tasks receive conservative protection. Its shared policy also includes reserves, repeated observations and a cooldown. These checks reduce the scope of a possible action; they do not prove that automatic cleanup is ready to ship.

Keep diagnosis separate from execution

The adviser returns categories such as observing pressure or reviewing protected applications. It cannot issue shell commands, select process IDs or grant itself permission to act. A local policy evaluates any proposed action independently.

Application-native controls are a useful first place for a manual review. A feature called “trim” must still be supported by the relevant application or platform. A name in a recommendation is not proof that memory was recovered.

Measure on disposable fixtures

Before enabling an automatic action, a release must establish its behavior using disposable workloads. The test should measure memory before and after, check process identity again, confirm protected work survives and verify that the helper can recover normally.

A successful command, a changed priority or a smaller chart is not a substitute for that evidence. AI Memory Guard currently makes no automatic RAM-recovery or benchmark claim. The monitor remains advisory while those release conditions are unresolved.

An intentional decision to do nothing

Observation is an appropriate result when important context is missing. It keeps a memory problem from becoming a data-loss problem. The goal is a deliberate, explainable decision that respects the work already in progress.

See the safety and security model, the release notes and the memory pressure guide for the current boundaries.

Published with the 9 October 2026 website launch. Product status may change; consult the release notes for availability.