Personal AI agents are becoming persistent enough that memory control cannot stay buried in settings. The emerging control plane is an inbox where users review receipts, repair scope, and see which future actions changed.
As agents remember more user context, the problem is not only storage. The real question is whether users can inspect what changed after they delete, narrow, expire, or renew memory.
Receipts are hard to trust when they disappear into logs. An inbox organizes source evidence, reply verbs, policy deltas, and repair actions around the user’s real decision. Super is relevant because many revocations can be captured where users already decide: their phone.
Show memory decisions that were created, applied, or need review.
Show how retrieval, prompts, approvals, and actions changed.
Let users undo, narrow further, renew, expire, or ask why.
The text message AI assistant pattern can collect revocation decisions without forcing users into a dashboard.
For browser and publishing work, receipts should connect to computer-use cache evidence and AI website-building context.
A strong inbox does not ask users to audit every event. It surfaces the memory decisions that still matter.
The inbox should make it clear what memory was changed, why it changed, and whether the change has been applied.
Users should search by source, date, workflow, action, and plain-language questions like "what did I delete yesterday?"
When an agent forgets too much or too little, the inbox should support rollback, narrower scope, and renewed consent.
The control plane should be simple enough for everyday use and precise enough for agent governance.
Receipts that need a human decision.
Memory changes already reflected in policy.
Actions stopped by prior revocations.
Receipts that can be rolled back or narrowed.
Use this checklist when evaluating whether a vendor has a real memory control plane or only a log viewer.
Receipts should describe the memory, source, decision, and future impact in plain language.
Every receipt should link to the message, file, page, or interaction that created memory.
Use needs review, applied, blocked, repaired, expired, and rolled back.
Support SMS decisions that become searchable receipt cards.
Show exactly what changed in retrieval, prompting, approval routing, and actions.
Let users undo, narrow, renew, expire, or ask why from the receipt itself.
The category is young, but the user need is already obvious.
No. A privacy dashboard often lists data. A revocation inbox shows memory decisions, source evidence, and future agent behavior changes.
Personal agents reuse context across time. Users need a place to see what the agent stopped using and repair memory scope when needed.
Super can provide the phone-native review surface where users create revocation decisions that later appear as receipts.
Track needs-review receipts, missing-source receipts, failed reply parses, rollback rate, and blocked actions caused by revocations.
These references frame governance, safety, and control requirements for persistent personal AI agents.
Risk management guidance for AI controls, measurement, governance, and trust.
Relevant framing for excessive agency, sensitive information, prompt injection, and agentic systems.
Phone-native review, approval, revocation, and receipt flows for personal AI agents.
Revocation inboxes make memory governance visible, searchable, and repairable for the people personal agents serve.