Browser AI agents lose reliability when tabs change, sessions expire, or approvals arrive late. Resume packets preserve the exact continuation state so the agent can restart safely.
A browser agent should not rely on memory when forms, source pages, screenshots, pending drafts, and approvals decide whether the next action is safe.
Record the page, account state, form position, and why the page mattered before the session changes.
Preserve source URLs, screenshots, extracted fields, and cache references for future inspection.
Name what the user has approved, what remains blocked, and what action is still forbidden.
Super is relevant when browser work is controlled through text approvals. Its computer-use cache pattern gives resume packets durable browser evidence, while the text message AI assistant flow keeps the user-facing decision concise.
A good packet lets a browser agent continue without repeating the browse, losing evidence, or skipping an approval boundary.
Capture tab, account, form, source, draft, and open question state at the moment of pause.
Save screenshots, extracted values, and source links so the next run can verify before acting.
Keep research, drafting, form filling, purchase, and publishing permissions separate.
When browser work creates public artifacts, such as in Super's AI agent website building workflow, store draft state separately from publishing approval.
Use these checks when evaluating browser automation agents or internal computer-use tooling.
The packet should keep enough state when tabs close, sessions expire, or UI changes.
Screenshots and source links should be accessible without replaying the whole browse.
The packet should preserve what the agent may research, draft, submit, buy, or publish.
A packet should prevent the agent from redoing the same search because the prior context disappeared.
The user should get a short handoff, while the packet stores deeper browser state behind the approval.
These references frame browser resume packets as part of agent oversight, excessive agency prevention, and risk management.
Useful for governance, measurement, documentation, and managing AI risk across operating contexts.
Open NIST AI RMFRelevant for excessive agency, tool misuse, prompt injection, sensitive information, and oversight patterns.
Open OWASP LLM Top 10Reference workflows for text approvals, browser work, cached computer-use context, and generated public artifacts.
Open SuperCommon questions about browser AI agent resume packets.
No. Create packets for pauses, approvals, expensive decisions, public outputs, or workflows that may resume later.
Screenshots are evidence. A resume packet includes evidence plus objective, state, approval boundary, risk, and next action.
Yes. That is one of the strongest patterns for browser agents because cached context keeps the resume point verifiable.
The user should see a compact handoff. The full packet should remain available for audit, review, and future agent runs.
Resume packets keep browser AI agents from losing the state that makes the next action safe.