memory

To maintain context for AI agents across multiple sessions, you can use a persistent memory system that stores user preferences in structured fact files and logs chronological events for later keyword retrieval.

The best way to retrieve past decisions from event history is logging interactions in an append-only file and searching the text history using standard Unix grep utilities to find specific keyword matches.

Yes, you need standard Unix grep utilities to perform text-based searches across the event history file, as this memory system relies on grep to facilitate efficient keyword-based contextual recall.

Fact persistence separates user preferences from chronological event logs by maintaining a dedicated file for long-term project relationships and preferences, while using an append-only history log for tracking past interactions.

Yes, you can use this persistent memory approach to track project history in long-running sessions by appending interactions to a chronological log file and searching past events to retain project context.