AI agents can talk and ship. What should you keep on your Mac?
Your next coding session may begin with a voice call, continue in a different agent session and end with a shared app. The useful habit to carry across those changes is a clear view of your own files: keep the work you need, understand persistent state and review cleanup candidates before removing them.
The recent updates worth knowing
On 6 November, Cursor announced agent voice chat across its Agents Window, IDE, web and iOS. A day earlier, it introduced building live apps with cloud agents, with checks and explicit publishing. OpenAI’s 6 November Codex CLI 0.167.0 notes cover session handling, retained drafts and local image previews. These are separate announcements with separate dates.
Claude’s longer conversations are a separate kind of state
Anthropic’s 2 November message-threads announcement describes a public-beta API feature that lets later requests carry incremental conversation messages. It concerns service conversations. The announcement does not identify a Mac folder that users should delete, and this article makes no retention-time or data-deletion promise about those threads.
A useful checkpoint before your next agent task
The practical takeaway is to separate where work runs from where its supporting data lives. A cloud deployment, a server conversation and an on-device workspace need different management decisions. These announcements alone do not establish that your Mac uses more space, that a particular cache is obsolete or that a new cleanup rule is needed. Start with what your own installed client and project actually use.
Keep projects, worktrees and the state you still need
A large folder or an old timestamp is not enough reason to remove it. A worktree can contain uncommitted changes; sessions, settings, credentials, skills and local databases can hold information that is not recoverable from an ordinary cache rebuild. Check the active task, inspect the path and contents where appropriate, and keep an independent backup of important work. Keep unknown or shared data out of the removal selection.
Manage cloud work in its own service
Use the relevant service to manage a hosted app or server-side conversation. Removing an on-device file should not be treated as deleting that cloud state. Likewise, a voice-chat announcement is not evidence that every user has a disposable audio folder. Check the client’s own documentation and available controls before making a data-retention decision.
Review local cleanup after the relevant task has finished
When it is appropriate to stop the related task, review supported cache and log candidates by tool, category, path and size. Keep anything that belongs to an active workspace or whose purpose is unclear. Confirm the available removal action before proceeding. Moving something to Trash can leave its space occupied; estimated candidate size is not a promise of immediately available disk space.
Where AI Agent Clean 1.0.9 helps
AI Agent Clean brings supported local AI tool locations into grouped scan results so you can review them in one place. Version 1.0.9 reduces repeated scan preparation work while retaining existing scan rules, improves retained-result display when switching views and corrects Deep Scan confirmation. Standard and Deep Scan offer different supported inspection scopes; a result is a candidate to review, not automatic proof that it is disposable. The November announcements do not certify new version-specific cleanup coverage.
Choose an available action, with clear recovery limits
Scanning and result review stay free. Cleanup, uninstallation and recovery depend on the app’s access and recovery checks. Recovery for eligible recorded operations does not require an active membership, but still depends on remaining files, permissions, destination conflicts and verification. Binary thinning, startup changes and maintenance actions are currently unavailable in 1.0.9. Purchasing does not bypass these limits.
Start with visibility, then decide what to keep
If your AI workflow now spans several tools, begin with a scan and a review of the detected groups. Keep the items you need and make a smaller, informed selection rather than clearing entire tool directories. AI Agent Clean requires macOS 14 or later and supports Intel and Apple silicon. The US lifetime reference price remains US$29.99 as a one-time purchase; actual regional prices and offer eligibility are displayed in the Mac App Store.