Memory Hygiene Audit

AI agent memory audit

Review persistent memory, repo notes, and agent instructions for stale facts, unsafe retention, and contradictions.

How the review works

Collect

Gather the endpoint, repo notes, server card, prompts, memory files, or run context needed for review.

Normalize

Turn unstructured inputs into a consistent checklist that humans and agents can compare.

Assess

Flag trust, safety, retention, permission, or execution risks before rollout.

Record

Keep a decision summary with evidence, owner, status, and follow-up action.

Useful for

Launch review

Before publishing a server, tool, agent workflow, or memory policy.

Buyer evidence

When a customer needs a concise trust or security review.

Agent operations

When automated runs need machine-readable evidence and human-readable summaries.